chapter - iii analysis of performance and problems of...
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CHAPTER - III
ANALYSIS OF PERFORMANCE AND PROBLEMS OF
POULTRY FARMS
The poultry industry in India has emerged as the most dynamic and
rapidly expanding segment of livestock economy. What was once started as a
novelty in 1970s as egg and broiler production has now turned out to be a
highly organized agribusiness. The growth of the industry with steady
production of 1800 million kg of poultry meat, 40 billion eggs per year and
employment generation of about 3 million people indicates the future prospects
for the industry. Changing food habits, rising income of the middle class
people, presence of private players, rising market demand of the Indian poultry
products in the export are some of the contributing factors for the growth of the
industry.1
EGG PRODUCTION IN NAMAKKAL
Namakkal ranked second largest egg producing zone among the more
than 30 National Egg Co-ordination Committee Zones in the country. Egg
consumption over the last five years has been steadily increasing by 6 or 7%
annually. Consumption of chicken has been increasing by 10% annually
during the same period. The strength of layer birds (egg laying chicken) in the
Namakkal Zone as on March 2011 stood at 4.59 crore. Namakkal District
accounted for 80% of this population followed by Erode with 12% while other
districts shared the remaining 8%.2
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TABLE 3.1
AVERAGE STRENGTH OF LAYER BIRDS IN NAMAKKAL ZONE IN
THE LAST 12 FINANCIAL YEARS
Year In Lakhs
2000-01 171.18
2001-02 212.71
2002-03 225.42
2003-04 219.19
2004-05 234.49
2005-06 307.34
2006-07 339.79
2007-08 367.35
2008-09 398.62
2009-10 407.34
2010-11 447.19
2011-12 500
Source : The Hindu, Namakkal, July 15, 2012
Statistics available in the NECC states that daily average egg production
in Namakkal Zone has increased to 341.18 lakh eggs a day [in July 2012]
which is 55.77 lakh eggs more than the average daily production in July 2011-
that stood at nearly 285.41 lakh eggs.3
EGG PRODUCTION CYCLE AND PROCESS
Poultry farming is raising chickens, turkeys, ducks and foul for meat and
egg. Poultry farm can be of Breeding farms where they raise poultry for meat
or Layer farms where they produce eggs. Today poultry raising is a big
business in Namakkal District in Tamilnadu. The activity that requires special
attention is the area of production. The products that comes out from the farm
are chicken, egg and manure for plants.
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Egg Production Cycle
The product cycle of Egg Production is as follows :
From a fertilized egg after a particular period of incubation, the chicks
are hatched. When they are one day old, they are brought to the farm where
they are developed into hen. When it reaches 18 weeks of age, it would start
laying eggs. These eggs are taken for human consumption. After the bird
reaches 72 weeks of age, they are culled for meat. The main market for culled
bird is Kerala. The Hen at all these three stages can be used for human
consumption.
Production Process
Egg production consists of the following process :
1. A well raised land with poultry sheds should be selected. Water logging
and flooding near the sheds should be avoided. Adequate facility for
water and electricity has to be arranged. There should be an approach
road for supply of chicks, feed, veterinary aid and nearness to market for
cull birds and eggs.
2. The improved strain of one day old healthy egger type chicks from a
hatchery has to be bought.
3. Highly balanced feed has to be provided.
Starter Feed (upto 8 weeks of age)
Grower feed (9 to 16 weeks of age) and
Layer feed (17 to 72 weeks of age)
4. When the chicks are in the age of 9 weeks, they should be transferred to
grower shed and fed with grower feed. This should be done till 18
weeks.
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5. After the bird is 18 weeks old, it must be transferred to larger cage and
must fed with layer feed. At this stage, the bird must be provided with
the feed of high nutrient value.
6. From this stage, the bird would start laying eggs. The eggs can be bullet
size eggs, medium size eggs and large size eggs. The medium eggs are
mainly for export market as it would be very strong and is suitable for
storage also.
7. The waste produced is the litter which is usually used as a manure for
agricultural land.
8. The gunny bags which are emptied after using feed can be sold in the
local market.
9. After 72 weeks of productivity the birds are culled for meat which is
chicken.4
This chapter deals with
A. Assessment of performances of poultry farms in the area of
i. Production, ii. Finance iii. Marketing of eggs
B. Problems of poultry farms and
C. Poultry industry and its future prospects
A. ASSESSMENT OF PERFORMANCES OF POULTRY FARMS
I. ASSESSMENT OF PRODUCTION PERFORMANCES
The production performance depends upon various factors such as cost
of initial capital investment, cost of chick, selection of right breed, efficient
management, economical feeding and effective disease control measures. In
this section of the study production cost of Small Size Farms (SSF) (only with
company feed and All-in-All-out method of rearing), Medium Size Farms
(MSF) and Large Size Farms (LSF) (both with own feed and company feed and
multiple method of rearing) has been calculated for Namakkal Division and
Tiruchengode Division of Namakkal District, with an aim to find out the most
advantageous size. The internal performance in egg production has been
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studied with reference to the various elements of costs. An analysis of the
composition of cost has also been made.
Cost of Production
The production cost in poultry farming is divided into two major categories.
1. Cost of investment in fixed assets and 2. Variable cost.
The investments in assets are fixed in nature and are classified as fixed
investment for the purpose of calculation. Fixed costs are those costs, which
do not change with changes in the number of birds reared within the limits of
plant capacity. Usually, the amount of fixed cost involved in the farming
operations is determined by the size/capacity of the farm. The poultry farms
normally have fixed assets like brooding shed (BS), brooding equipment (BE),
grower shed (GS), grower equipment (GE), layer shed (LS), layer cages (LG),
miscellaneous expenses (ME) including feed plant and other investment in the
form of plant and machinery, labour quarters and water tank. For this purpose
farmers have to invest heavily at the initial stage. The depreciation is charged
on these assets according to straight-line method at the rate of 10% per annum
and interest is also calculated on an average at a rate of 14% per annum (as per
the rate adopted by the commercial banks) on the amount of investment in
fixed assets, chick cost and on one fifth of feed cost as interest on capital
invested.
The next category of cost is the variable cost. Variable costs are those
costs, which tends to vary directly with variation in the number of birds reared.
It includes chick cost (CC), feed cost (FC), mortality adjusted (MA), electricity
(E), vaccination and medicine (VM) labour charges (LC) and other overhead
expenses (OE) including marketing of eggs in the form of selling and
distribution expenses. These expenses are recurring in nature and the entire
amount is to be added to calculate cost of production.
The following cost of production function and net return function has
been used for analysis of data:
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Cost of Production = Depreciated Value of Fixed Cost + Variable Cost +
Maintenance Cost of Fixed Assets + Interest on Capital.
Net Returns = Income from (Sale of Eggs + Cull Birds + Manure +
Gunny Bags) Cost of Production.
The total cost of production has been arrived at by using the above
function for the sample farms on the basis of their size with own feed and
company feed consumption. The number of eggs produced were calculated
with reference to each size of farms. The mortality losses were also considered.
Similarly the breakages were calculated while computing the number of eggs
produced and hence the data will not affect the estimation of costs and may be
treated as adjusted cost after mortality and breakages.
For the purpose of assessing the production performance of poultry
farms in Namakkal Division and Tiruchengode Division of Namakkal District
on the basis of their size the following variables have been used.
1. Average fixed capital investment per 1000 birds.
2. Average variable cost per 1000 birds
3. Average total cost per 1000 birds
4. Average income per 1000 birds.
5. Average Net returns per 1000 birds.
Descriptive Analysis of farms based on the size of the farms has been
done on the above variables. Data relating to the performance of the farms for
a period of four years from 2008-09 to 2011-12 have been collected for the
purpose of the study.
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i) PRODUCTION COST OF SMALL SCALE FARMING (SSF)
(1,000-10,000 BIRDS)
(only with company feed adopting All-In-All out method of rearing)
In the case of Small Scale Farming (SSF) the farm owners prefer to feed
the birds with feed supplied by the feed manufacturing company (company
feed) rather than having their own feed manufacturing unit (own feed) as it
involves high cost of installation which is not within the affordable capacity of
the small farmers. Further the method of rearing birds are carried out with All-
in-All-out system as there is no need to have specific house in the name of
Grower or Layer house. Therefore from the day one till the birds are culled
they are reared in only one house.
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1. Average Fixed Capital Investment per 1000 Birds
After evaluating the components of fixed capital investments in Small
Scale Farming the various heads are consolidated to calculate the overall
investment in fixed assets. Various components of Fixed capital investment in
Small Scale Farming includes
a) Shed and Equipments Cost
b) Miscellaneous costs of Egg room, Plant and Machinery, Labour
Quarters and Water Tank
The data collected from sample SSF were compiled and presented in Table 3.2.
TABLE 3.2
AVERAGE FIXED CAPITAL INVESTMENT (SSF)
Year Shed & Equipments
Cost (`)
Miscellaneous
Cost (`) Total (`)
2008-09 2,34,000 25,100 2,59,100
2009-10 2,79,200 42,000 3,21,200
2010-11 2,97,800 43,500 3,41,300
2011-12 3,06,600 47,500 3,54,100
Mean 2,79,400 39,525 3,18,925
SD 32,350.17 9,892.88 42,119.38
CV (%) 11.58 25.03 13.21
AAGR (%) 9.64 26.70 11.33
LAGR (%) 8.46 17.38 9.57
CAGR (%) 9.15 21.52 10.49
Source : Compiled from the records of poultry farms
Miscellaneous cost includes -Egg room, Plant & Machinery, Labour quarters and Water tank.
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Table 3.2 shows that the average fixed capital investment per 1000 birds
for shed & equipments in 2008-09 was ` 2,34,000 and it has increased to
` 3,06,600 in 2011-12. In the case of miscellaneous cost, the average fixed
capital investment in 2008-09 was ` 25,100 and it has increased to ` 47,500 in
2011-12. The average fixed capital investment in total during 2008-09 was
` 2,59,100 and it has increased to ` 3,54,100 in 2011-12. Hence there is
significant increase in average fixed capital investment for both shed &
equipments and miscellaneous cost.
The analysis shows that, the average fixed capital investment for shed &
equipments and miscellaneous costs were ` 2,79,400 and ` 39,525 respectively.
In total it was ` 3,18,925. More variation in average fixed capital investment is
observed for miscellaneous cost (25.03%) than in shed & equipments (11.58%)
over the study period. The coefficient of variation in total was 13.21%.
Further the growth rate analysis shows that, the AAGR of average fixed
capital investment for shed and equipments was 9.64% while it was 26.70%
for miscellaneous cost. In respect of LAGR, it was 8.46% and 17.38% for shed
and equipments cost and miscellaneous cost respectively. The CAGR of shed
and equipments cost and miscellaneous cost were 9.15% and 21.52%
respectively. It indicates that overall growth rate of average fixed capital
investment was 10.49%.
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2. Average Variable Cost per 1000 Birds
Variable cost refers to expenses incurred during the period from 0-72
weeks, and it includes cost of chicks, feed cost, mortality adjusted cost,
electricity, vaccination and medicine, labour charges and other overhead
expenses including selling and distribution expenses of eggs. Data collected
from various sample farms of SSF towards variable costs are classified,
compiled and shown in Table 3.3.
TABLE 3.3
AVERAGE VARIABLE COST (SSF)
Year CC
(`)
FC
(`)
MAC
(`)
E
(`)
V&M
(`)
LC
(`)
OE
(`)
Total
(`)
2008-09 19,100 5,27,000 3,900 5,050 17,500 11,160 8,320 5,92,030
2009-10 19,200 6,20,000 4,000 5,250 19,900 12,330 10,200 6,90,880
2010-11 21,000 6,62,000 4,050 5,360 20,700 12,690 10,420 7,36,220
2011-12 23,000 6,75,000 4,100 5,490 22,450 13,140 11,250 7,54,430
Mean 20,575 6,21,000 4,013 5,288 20,138 12,330 10,048 6,93,390
SD 1,837.34 66,917.86 85.39 186.26 2055.63 847.47 1237.24 72,664.62
CV (%) 8.93 10.78 2.13 3.52 10.21 6.87 12.31 10.48
AAGR (%) 6.47 8.79 1.68 2.83 8.73 5.65 10.91 8.58
LAGR (%) 6.56 7.83 1.62 2.70 7.77 5.11 8.97 7.68
CAGR (%) 6.68 8.42 1.64 2.75 8.18 5.32 9.71 8.23
Source : Compiled from the records of poultry farms
CC-Chick Cost; FC-Feed Cost; MAC-Mortality Adjusted Cost; E-Electricity;
V & M-Vaccination and Medicine; LC-Labour Charges; OE-Other Overhead Expenses.
From Table 3.3 it is clear that the average chick cost per 1000 chicks
was `19,100 in 2008-09 and it has increased to `23,000 in 2011-12. Feed cost
was `52,7000 in 2008-09 and it has increased to `67,5000 in 2011-12.
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The overall average mortality adjusted cost per 1000 birds in 2008-09
was `3,900 and it has increased to `4,100 in 2011-12. Table 3.3 also shows that
the overall expenses for electricity was `5,050 in 2008-09 per 1000 birds and
the same has increased to `5,490 in 2011-12. The costs of vaccination &
medicine and labour charges in 2008-09 were `17,500 and `11,160 respectively
and the same had increased to `22,450 and `13,140 respectively in 2011-12.
There are some other overhead expenses like selling and distribution
expenses for marketing of eggs to be spent by the farms. It can be noticed that
in 2008-09 it was `8,320 for 1000 birds on an average and it has increased to
`11,250 in the year 2011-12. The total variable cost in 2008-09 was `5,92,030
which had increased to `7,54,430 in 2011-12.
Hence there was a significant increase in variable cost during the period
from 2008-09 to 2011-12.
Further it can be observed that the average cost for the period from
2008-09 to 2011-12 in respect of chick cost, feed cost, mortality adjusted cost,
electricity, vaccine and medicine, labour charges and overhead expenses
were `20,575, `6,21,000, `4,013, `5,288, `20,138, `12,330, and `10,048
respectively. The coefficient of variation for chick cost is 8.93%, feed cost is
10.78%, mortality adjusted cost is 2.13%, electricity is 3.52%, vaccine and
labour charges are 10.21% and 6.87% respectively and for overhead expenses
it is 12.31% during the study period.
Hence more variation in variable cost is observed for overhead expenses
than for other components.
The AAGR of overhead expenses is higher (10.91%) which is followed
by feed cost (8.79%) and is lower for mortality adjusted cost (1.68%) and the
overall AAGR is 8.5%. The LAGR of overhead expenses is 8.97% followed
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by feed cost (7.83%) and is lower for mortality adjusted cost (1.62%) and
overall LAGR is 7.68%. The CAGR of overhead expenses higher (9.71%) and
is followed by feed cost (8.42%) and it is lower for mortality adjusted cost
(1.64%). The overall growth rate of average variable cost was 8.25%.
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3. Average Total Cost of Production per 1000 Birds
Cost of production is calculated as follows :
Cost of Production = Depreciated Value of Fixed Cost +Variable Cost +
Maintenance Cost of Fixed Assets and Interest On
Capital.
Overall cost of production for SSF and statistical analysis for the period
are presented in the Table 3.4.
TABLE 3.4
AVERAGE TOTAL COST (SSF)
Year
Depreciated
value of
Fixed Cost
(`)
Variable
Cost
(`)
Maintenance
Cost of
fixed assets
(`)
Interest on
Capital
(`)
Total
(`)
2008-09 25,910 5,92,030 1,835 26,852 6,45,827
2009-10 32,120 6,90,880 2,569 32,508 7,58,077
2010-11 34,130 7,36,220 2,730 34,629 8,07,709
2011-12 35,410 7,54,430 2,832 35,847 8,28,519
Mean 31,893 6,93,390 2,492 32,459 7,60,033
SD 4,211.94 72,664.62 450.86 3,984.48 81,670.41
CV (%) 13.21 10.48 18.10 12.28 10.75
AAGR (%) 11.33 8.58 16.67 10.37 8.83
LAGR (%) 9.57 7.68 12.65 8.97 7.86
CAGR (%) 10.49 8.23 14.60 9.75 8.45
Source : Compiled from the records of poultry farms
It can be seen from the above table that on an average the depreciated
value of fixed cost was ` 25,910 in 2008-09 and it has increased to ` 35,410 in
2011-12. The variable cost was ` 5,92,030 in 2008-09 and it has increased to
` 7,54,430 in 2011-12. The maintenance cost of fixed assets in 2008-09 was
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` 1,835 and it has increased to ` 2,832 in 2011-12.The interest on capital was
` 26,852 in 2008-09 and it has increased to ` 35,847 in 2011-12. The overall
cost for the year was ` 6,45,827 and it has increased to ` 8,28,519 in 2011-12.
It can be concluded that there is significant increase in overall cost of
production for 1000 birds in SSF during the study period.
Further statistical analysis shows that the mean total cost from 2008-09
to 2011-12 in respect of depreciated value of fixed cost, variable cost,
maintenance cost of fixed assets and interest on capital were ` 31,893,
` 6,93,390, ` 2,492 and ` 32,459 respectively. The coefficient of variation in
respect of depreciated value of fixed cost, variable cost, maintenance cost of
fixed assets and interest on capital are 13.21%, 10.48%, 18.10% and 12.28%
respectively. The total mean cost for the study period is ` 7,60,033, the standard
division is 81,670.41 and coefficient of variation is 10.75%.
Hence more variation in total cost is observed for maintenance cost of
fixed assets than in any other component.
The AAGR of maintenance cost of fixed assets is more (16.67%) and is
less for variable cost (8.58%). The LAGR of maintenance cost of fixed assests
is more (12.65%) and it is less for variable cost (7.68%). The CAGR of
maintenance cost of fixed assests is more (14.60%) and is less for variable cost
(8.23%). The overall growth rate for the period was 8.45%.
The increase in growth rate is observed for the maintenance cost of fixed
asset than in any other cost component of total cost of production.
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ii) PRODUCTION COST OF MEDIUM SCALE FARMING (MSF)
(10001-50,000 BIRDS)
(Both with own feed and company feed - adopting multiple method of rearing)
In Medium Scale Farming (MSF) the farm owners may prefer to feed
the birds either with the feed manufactured by themselves (own feed) or with
the feed supplied by the manufacturing companies (company feed). As the
method of rearing birds in MSF are multiple, the investment in fixed assets are
in the nature of Brooding, Growing, Laying operations of the birds.
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1. Average Fixed Capital Investment Per 1000 Birds
In order to compare the average fixed capital investment for 1000 birds
in the sample MSF with own feed and company feed, a total of four variables
viz., Brooding shed and equipments, Grower shed and equipments, Layer shed
and equipments, Miscellaneous expenses of Egg room, Plant and Machinery,
Labour quarters and Water tanks have been analysed. Data collected from
various sample farms of MSF towards fixed capital investment were compiled
and presented in table 3.7.
TABLE 3.5
AVERAGE FIXED CAPITAL INVESTMENT (MSF)
Year
BSE
(`)
GSE
(`)
LSE
(`)
Miscellaneous
Cost
(`)
Total
(`)
own feed &
company
feed
own feed &
company feed
own feed &
company
feed
own feed company
feed own feed
company
feed
2008-09 32,500 45,000 2,15,000 51,100 31,300 3,42,600 3,23,800
2009-10 34,250 54,750 2,60,000 85,900 63,000 4,34,900 4,12,000
2010-11 36,250 58,000 2,78,000 95,000 67,000 4,67,250 4,39,250
2011-12 38,250 61,000 2,84,000 99,100 68,200 4,82,350 4,51,450
Mean 35,313 54,688 2,59,250 82,775 57,375 4,31,775 4,06,625
SD 2,486.42 6,944.35 31,212.98 21,825.27 17524.91 62,658.47 57,626.79
CV(%) 7.04 12.70 12.04 26.37 30.54 14.51 14.17
AAGR(%) 5.58 10.93 10.00 27.67 36.47 12.54 12.21
LAGR(%) 5.45 9.37 8.68 18.50 19.99 10.46 10.09
CAGR (%) 5.61 10.19 9.44 23.22 27.1 11.61 11.19
Source : Compiled from the records of poultry farms
BSE-Brooding Shed and Equipments; GSE-Grower Shed and Equipments; LSE-Layer Shed
and Equipments; Miscellaneous Cost Includes-Egg Room, Plant & Machinery, Labour
Quarters and Water tank.
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Table 3.5 reveals average fixed capital investment of the sample farms of
MSF with own feed and company feed in respect of average fixed capital
investment for brooding shed and equipments, grower shed and equipments,
layer shed and equipments. It was ` 32,500, ` 45000 and ` 2,15,000 respectively
in the year 2008-09. But the same has increased to ` 38,250,
` 61,000 and ` 2,84,000 in the year 2011-12. But in respect of miscellaneous
cost it was higher (` 51,100) in own feed when compared to company feed
(` 31,000) in 2008-09. The reason for high cost is that in own feed
farms, investment has to be made for the installation of feed plant and
machinery. The same has increased to ` 99,100 and ` 68,200 respectively in
2011-12.
On an average the total fixed capital investment in 2008-09 for own feed
farms was higher (` 3,42,600) and it was lower for company feed farms
(` 3,23,800). The same has increased to ` 4,82,350 for own feed farms and
` 4,51,450 for company feed farms in 2011-12.
The coefficient of variation for farms with own feed was 14.51% and it
was 14.17% for company feed. It indicates that there is no much variation
between own feed and company feed.
The AAGR of average fixed capital investment for own feed farms was
12.54% and for company feed it was 12.21%. The LAGR of average fixed
capital investment for own feed farms was 10.46% and for company feed farms
it was 10.09%. The CAGR of average fixed capital investment for own feed
farms was 11.61% and for company feed farms it was 11.19%. From the above
analysis it is concluded that there is no much difference in the growth rate of
the average fixed capital investment of MSFs with own feed and company
feed.
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Further from the Table 3.5 it can be observed that higher rate of variation
is found for miscellaneous expenses in the case of farms with company feed
than in farms with own feed.
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2. Average Variable Cost per 1000 Birds
With an aim to compare the variable cost of MSF with own feed and MSF with company feed, seven variables viz., chick
cost, feed cost, mortality adjusted cost, electricity, vaccination and medicine, labour charges and other overhead expenses
including selling and distribution expenses have been analysed and shown in Table 3.6.
TABLE 3.6
AVERAGE VARIABLE COST (MSF)
Year
CC
(`)
FC
(`)
MA
(`)
E
(`)
V&M
(`)
LC
(`)
OE
(`)
Total
(`)
own feed &
company
feed
own feed company
feed
own feed &
company
feed
own feed &
company
feed
own feed &
company
feed
own feed &
company
feed
own feed &
company
feed
own feed company
feed
2008-09 19,100 4,80,000 5,27,000 3,900 4,875 16,800 11,900 10,900 5,47,475 5,94,475
2009-10 1,92,00 5,58,000 6,20,000 4,000 5,160 19,250 13,100 11,850 6,30,560 6,92,560
2010-11 21,000 6,10,000 6,62,000 4,050 5,200 20,100 13,800 12,200 6,86,350 7,38,350
2011-12 23,000 6,27,000 6,75,000 4,100 5,260 21,800 14,100 12,800 7,08,060 7,56,060
Mean 20,575 568,750 621,000 4,013 5,124 19,488 13,225 11,938 6,43,111 6,95,361
SD 1,837.34 66,047.33 66,917.86 85.39 170.85 2,081.82 977.67 795.17 71,628.10 72,383.82
CV (%) 8.93 11.61 10.78 2.13 3.33 10.68 7.39 6.66 11.14 10.41
AAGR (%) 6.47 9.45 8.79 1.68 2.59 9.15 5.87 5.53 9.06 8.50
LAGR (%) 6.56 8.67 7.83 1.62 2.33 8.13 5.52 5.07 8.36 7.63
CAGR (%) 6.68 9.31 8.42 1.64 2.39 8.6 5.77 5.24 8.94 8.17 Source : Compiled from the records of poultry farms
103
Table 3.6 reveals that there is no significant difference is found in
average variable cost of farms with own feed and farms with company feed in
respect of chick cost, mortality adjusted cost, electricity, vaccination and
medicine, labour charges, and other overhead expenses. It was same for both
type of farms from 2008-09 to 2011-12 but the same has increased year after
the year till 2011-12.
There is a significant difference in average variable cost of farms in
respect of feed cost for farms with own feed and company feed. It was
` 4,80,000 in 2008-09 for own feed farms but it was ` 5,27,000 for company
feed farms. The same has increased in 2011-12 to ` 6,27,000 for own feed
farms and ` 6,75,000 for company feed farms.
On an average the total variable cost for own feed farms in 2008-09 was
` 5,47,475 for 1000 birds but it was ` 5,94,475 for company feed farms. The
same has increased in 2011-12 to ` 7,08,060 for own feed farms and to
` 6,95,361 for company feed farms. The coefficient of variation is 11.14 for
own feed and it is 10.41 for company feed farms.
The AAGR of variable cost of own feed farms was 9.06% and that of
company feed farms was 8.50%. The LAGR of own feed farms was 8.36%
and that of company feed farms it was 7.63% and CAGR of own feed farms
was 8.94% and that of company feed farms was 8.17%.
From the analysis it is observed that growth rate in feed cost was found
to be of higher for own feed farms than in farms with company feed.
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3. Average Total Cost of Production Per 1000 Birds
It is the total of fixed cost and variable cost. It includes the depreciated value of fixed cost, variable cost, maintenance cost
of fixed assets and interest on capital.
TABLE 3.7
AVERAGE TOTAL COST (MSF)
Year
Depreciated value of
Fixed Cost
(`)
Variable Cost
(`)
Maintenance Cost
of fixed assets
(`)
Interest on Capital
(`)
Total
(`)
own
feed
company
feed own feed
company
feed
own
feed
company
feed
own
feed
company
feed own feed
company
feed
2008-09 34,260 32,380 5,47,475 5,94,475 4,111 3,886 32,039 31,381 6,18,885 6,62,122
2009-10 43,490 41,200 6,30,560 6,92,560 5,219 4,944 39,599 38,864 7,18,868 7,77,568
2010-11 46,725 43,925 6,86,350 7,38,350 5,607 5,271 42,718 41,486 7,81,400 8,29,032
2011-12 48,235 45,145 7,08,060 7,56,060 5,778 5,417 41,153 42,662 8,03,236 8,49,284
Mean 43,178 40,663 6,43,111 6,95,361 5,179 4,880 38,877 38,598 7,30,597 7,79,502
SD 6265.85 5762.68 71,628.10 72,383.82 749.27 691.23 4733.32 5066.64 82,612.57 83,874.02
CV (%) 14.51 14.17 11.14 10.41 14.47 14.17 12.18 13.13 11.31 10.76
AAGR (%) 12.54 12.21 9.06 8.50 12.48 12.20 9.27 11.14 9.22 8.83
LAGR (%) 10.46 10.09 8.36 7.63 10.41 10.08 7.84 9.45 8.43 7.86
CAGR (%) 11.61 11.19 8.94 8.17 11.55 11.19 8.62 10.37 9.04 8.45
105
Source : Compiled from the records of poultry farms
106
Table 3.7 reveals that the total cost of production in company feed farms
was higher than in farms with own feed. This difference was found throughout
the study period from 2008-09 to 2011-12.
From the above table the average total cost for own feed farms was
` 7,30,597 and for company feed farms it was ` 7,79,502. The coefficient of
variation for the own feed farms was 11.31% and it was 10.76% for company
feed. From the analysis it was observed that the variation in the total cost was
found more for own feed farms than in company feed farms.
The increase in total cost for own feed farms was (AAGR) 9.22% while
it was 8.83% for company feed farms. The LAGR for own feed farms was
8.36% and it was 7.86% for company feed farms and CAGR for own feed
farms is 9.04% and for company feed farms it was 8.45%. From the above
analysis it is found that the overall growth rate is more for own feed farms than
in company feed farms.
Hence from the foregoing analysis it is clear that on an average total cost
of production was comparatively low for own feed farms than for farms with
company feed.
107
iii) PRODUCTION COST OF LARGE SCALE FARMING (LSF)
(Above 50,001 BIRDS)
(Both with Own Feed & Company Feed adopting Multiple method of rearing)
1. Average Fixed Capital Investment Per 1000 Birds
TABLE 3.8
AVERAGE FIXED CAPITAL INVESTMENT (LSF)
Year
BSE
(`)
GSE
(`)
LSE
(`)
Miscellaneous Cost
(`)
Total
(`)
own feed
&
company
feed
own feed
&
company
feed
own feed
&
company
feed
own feed company
feed own feed
company
feed
2008-09 32,500 45,000 2,15,000 48,000 30,300 3,40,500 3,22,800
2009-10 34,250 54,750 2,60,000 85,000 62,000 4,34,000 4,11,000
2010-11 36,250 58,000 2,78,000 94,000 65,000 4,66,250 4,37,250
2011-12 38,250 61,000 2,84,000 98,000 67,500 4,81,250 4,50,750
Mean 35,313 54,688 2,59,250 81,250 56,200 4,30,500 4,05,450
SD 2,486.42 6,944.35 31,212.98 22,823.60 17,412.45 63,155.56 57,518.56
CV (%) 7.04 12.70 12.04 28.09 30.98 14.67 14.19
AAGR (%) 5.58 10.93 10.00 30.64 37.77 12.70 12.27
LAGR (%) 5.45 9.37 8.68 19.57 20.39 10.56 10.11
CAGR (%) 5.61 10.19 9.44 25.13 27.76 11.73 11.22
Source : Compiled from the records of poultry farms
From Table 3.8 it can be observed that there was no difference between
own feed farms and company feed farms in respect of fixed capital investment
towards brooding shed, grower shed and layer shed. The difference is found
only in miscellaneous expenses. It was ` 48,000 in 2008-09 for own feed farms
and ` 30,300 for company feed farms. But it has increased in 2011-12 to `
98,000 and ` 67,500 respectively. The total fixed capital investment in 2008-
09 was ` 3,40,500 and ` 3,22,800 for own feed farms and company feed farms
108
respectively and it has increased to ` 4,81,250 and ` 4,50,750 in
2011-12.
From the above table it is evident that the average fixed capital
investment for the study period for own feed farms was ` 4,30,500 and for
company feed farms it was ` 4,05,450. The coefficient of variation for own
feed farms was 14.67% and for company feed farms it was 14.19%. More
variation is found in the own feed farms. The AAGR for own feed farms was
12.70% and for company feed farms it was 12.27%. It indicates that increase
in growth rate is found more for own feed farms than in company feed farms.
The CAGR for own feed farms is 11.73% and for company feed farms it is
11.22%. From the above analysis it is observed that there is a significant
variation in average fixed capital investment between own feed farms and
company feed farms.
109
2. Average Variable Cost Per 1000 Birds
TABLE 3.9
AVERAGE VARIABLE COST (LSF)
Year
CC (`) FC (`) MA (`) E (`) V & M (`) LC (`) OE (`) Total (`)
own feed &
company
feed
own feed company
feed
own feed &
company
feed
own feed &
company
feed
own feed &
company
feed
own feed &
company
feed
own feed &
company
feed
own feed company
feed
2008-09 19,100 4,80,000 5,27,000 3,900 4,800 16,500 12,400 10,400 5,47,100 5,94,100
2009-10 19,200 5,58,000 6,20,000 4,000 5,100 19,100 13,700 11,700 6,30,800 6,92,800
2010-11 21,000 6,10,000 6,62,000 4,050 5,130 19,900 14,100 11,900 6,80,080 7,38,080
2011-12 23,000 6,27,000 6,75,000 4,100 5,200 21,500 14,600 12,500 7,07,900 7,55,900
Mean 20,575 568,750 6,21,000 4,013 5,058 19,250 13,700 11,625 6,41,470 6,95,220
SD 1837.34 66047.33 66,917.86 85.39 176.71 2087.26 941.63 884.59 7,0529.48 72,457.24
CV (%) 8.93 11.61 10.78 2.13 3.49 10.84 6.87 7.61 10.99 10.42
AAGR (%) 6.47 9.45 8.79 1.68 2.73 9.33 5.65 6.42 9.07 8.52
LAGR (%) 6.56 8.67 7.83 1.62 2.43 8.21 5.11 5.59 8.29 7.63
CAGR% 6.68 9.31 8.42 1.64 2.49 8.71 5.32 5.85 8.85 8.18
Source : Compiled from the records of poultry farms
CC-Chick Cost; FC-Feed Cost; MA-Mortality Adjusted; E-Electricity; VM-Vaccination and Medicine; LC-Labour Charges; OE-Other Expenses
110
From the above table it is inferred that the variable cost incurred for the
period 2008-09 to 2011-12 for own feed farms and company feed farms is
same for all the elements of cost except for feed cost. The feed cost of own
feed farms and company feed farms was ` 4,80,000 and ` 5,27,000 respectively
2008-09 and the same has increased to ` 6,27,000 and ` 6,75,000 respectively
in 2011-12.
The average variable cost for the study period was ` 6,41,470 for own
feed farms and ` 6,95,220 for company feed farms. The coefficient of variation
is 10.99 for own feed farms and for company feed farms it is 10.42%. From
the above it can be concluded that there is a significant variation towards feed
cost between own feed farms and company feed farms.
From the above table it can also be observed that the AAGR for own
feed farms to be 9.07% and that of company feed farms to be 8.52%. The
LAGR for own feed farms is 8.29% and for company feed farms it is 7.63%.
The CAGR for own feed farms is 8.85% and for company feed farms it is
8.18%. It indicates that variable cost grew at 8.85% for own feed farms and
8.18% for company feed farms.
111
3. Average Total Cost of Production Per1000 Birds
TABLE 3.10
AVERAGE TOTAL COST (LSF)
Year
Depreciated value of
Fixed Cost
(`)
Variable Cost
(`)
Maintenance Cost of
fixed assets
(`)
Interest on Capital
(`)
Total
(`)
own feed company
feed own feed
company
feed own feed
company
feed
own
feed
company
feed own feed
company
feed
2008-09 34,050 32,280 5,47,100 5,94,100 3,405 3,228 31,892 31,311 6,16,447 6,60,919
2009-10 43,400 41,100 6,30,800 6,92,800 4,340 4,110 39,816 38,794 7,18,356 7,76,804
2010-11 46,625 43,725 6,80,080 7,38,080 4,620 4,372 42,647 41,345 7,73,972 8,27,522
2011-12 48,125 45,075 7,07,900 7,55,900 4,813 4,508 43,865 42,612 8,04,703 8,48,095
Mean 43,050 40,545 6,41,470 6,95,220 4,295 4,055 39,555 38,516 7,28,370 7,78,335
SD 6315.56 5751.86 70,529.48 72,457.24 623.99 575.22 5382.88 5058.65 82,731.11 83,814.64
CV (%) 14.67 14.19 10.99 10.42 14.53 14.19 13.61 13.13 11.36 10.77
AAGR (%) 12.70 12.27 9.07 8.52 12.70 12.27 11.60 11.18 9.41 8.85
LAGR (%) 10.56 10.11 8.29 7.63 10.49 10.12 9.80 9.46 8.52 7.87
CAGR (%) 11.73 11.22 8.85 8.18 11.64 11.22 10.79 10.39 9.13 8.45
Source : Compiled from the records of poultry farms
112
The cost components included for total cost is same as in MSF. The
total cost incurred in 2008-09 for own feed was ` 6,16,447 and it was
` 6,60,919 for company feed farms and it has increased to ` 8,04,703 and
` 8,48,095 respectively in 2011 - 12. On an average the total cost incurred for
company feed farms is higher than that of own feed farms.
The average total cost for own feed farms was ` 7,28,370 and for
company feed farms it was ` 7,78,335. The coefficient of variation for own
feed farms was 11.36% and for company feed farms it was 10.77%. From the
above it is observed that more variation is found in own feed farms than in
company feed farms.
The AAGR of total cost for own feed farms was 9.41% while it was
8.85% for company feed farms. The LAGR for own feed farms was 8.52% and
for company feed farms it was 7.87%. The CAGR for own feed farms was
9.13% and for company feed farms it was 8.45%. From the analysis it is
observed that average variable cost grew at 9.13% for own feed farms and at
8.45% for company feed farms.
113
II. ANALYSIS OF FINANCIAL STRUCTURE AND PERFORMANCE
OF POULTRY FARMS
Finance is the most important functional area of the poultry farms. The
financial requirements of poultry farms may be of two types namely fixed
capital and working capital. Fixed capital is required for meeting the cost of
constructions of poultry farms, purchase of poultry equipments and fixed
portion of working capital. Working capital is required to carry out farming
operations such as purchase of day-old-chicks, poultry feeds, medicines, litter
materials, payment of labour charges, electricity and fuel charges, selling and
distribution expenses. The financial requirements of a poultry unit mainly
depend on the number of birds maintained.
This section of the chapter analyses the financial structure and financial
position of the sample farms taken for the study.
114
1) Financial Structure
The financial structure of the poultry farms in both the divisions
(Namakkal and Tiruchengode) of Namakkal District consists of both own funds
and borrowed funds. Own funds means capital contribution by proprietor
himself /herself. Borrowed funds means loans and advances from banks and
credit from financial institutions, friends and relatives. The Table 3.11 presents
the financial structure of sample units in both the divisions.
TABLE 3.11
FINANCIAL STRUCTURE OF SAMPLE FARMS
S.No.
Financial
Structure
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. Only own funds 103 48.6 22 33.3 125 45.0
2. Both own and
Borrowed funds 109 51.4 44 66.7 153 55.0
Total 212 100 88 100 278 100
Source: Primary Data
Out of the 278 sample farms taken for the study majority (55%) of the
farms employ both own funds and borrowed funds in their financial structure.
In Namakkal division 51.4% of the sample farms have mobilized capital from
both own and borrowed sources. It is comparatively more in Tiruchengode
division of Namakkal District i.e. 66.7% of sample farms have this financial
structure. Own funds alone is employed in 45% of the sample farms. In
Namakkal division the percentage share of own funds is higher at 48.6% but it
is lower 33.3% in Tiruchengode division.
115
(a) Sources of borrowed funds
The sources of borrowed funds of the sample farms consists of banks,
financial institutions, friends and relatives. The average proportion of sources
of borrowed funds among the sample farms of both the divisions of Namakkal
District are furnished in the Table 3.12.
TABLE 3.12
SOURCES OF BORROWED FUNDS OF THE SAMPLE FARMS
S.No.
Sources of
borrowed
funds
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. Banks 68 62.3 27 61.4 95 62.1
2. Financial
Institutions 16 14.7 3 6.8 19 12.4
3. Friends &
Relatives 25 23.0 14 31.8 39 25.5
Total 109 100 44 100 153 100
Source: Primary Data
Table 3.19 reveals that loans and advances from banks constitute a
major part of the borrowed funds in both the divisions of the Namakkal
District. The percentage share is 62.3 and 61.4 respectively. The percentage
share of credit from friends and relatives and financial institutions is found to
be very negligible.
116
(b) Ability to meet the working capital requirements in time
In poultry industry, working capital is the life blood and controlling
nerve centre of business. The need for working capital arises out of the lack of
immediate realisation of cash against products sold. Technically, this is
referred to as the operating or cash-cycle. The magnitude of working capital
required will not be constant, but will flucture. To carryout business, certain
minimum level of working capital is necessary on a continuous and
uninterrupted basis. This requirement will have to be met permanently as with
other fixed assets and is referred to as permanent or fixed working capital. Any
amount over and above the permanent level of working capital is temporary,
fluctuating or variable working capital. This portion of the required working
capital is needed to meet fluctuation in demand consequent upon changes in
production and sales as a result of seasonal changes. Therefore data regarding
ability to meet the working capital requirements in time of sample farms are
presented in the Table 3.13.
TABLE 3.13
ABILITY OF THE SAMPLE FARMS TO MEET WORKING CAPITAL
REQUIREMENTS IN TIME
S.No. Whether able
or Not
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1 Yes 212 100 66 100 278 100
2. No 0 0 0 0 0 0
Total 212 100 66 100 278 100
Source: Primary Data
Out of the 278 sample farms, it is found that all (100%) the sample
farms in both the divisions of Namakkal District are able to meet working
capital requirement in time.
117
(c) Promptness in the repayments of Loans and Borrowings
The promptness of the poultry farms in repayment of loans and
borrowings is one of the indicators of solvency of the farms. Table 3.14 gives
the nature of repayment of loans and borrowings by both the divisions of
Namakkal District.
TABLE 3.14
PROMPTNESS IN REPAYMENT OF LOANS AND BORROWINGS
S.No.
Nature of
Repayment
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. Prompt 98 89.9 41 93.2 139 90.8
2. Not Prompt 11 10.1 3 6.8 14 9.2
Total 109 100 44 100 153 100
Source: Primary Data
Out of 109 sample farms which availed financial assistance from various
sources in Namakkal division, only 98 farms (89.9%) could repay the loans
promptly. In Tiruchengode division out of 44 sample farms which availed
financial assistance, majority of 41 (93.2%) sample farms have promptly repaid
the loans and borrowings. The percentage share of sample farms not prompt in
repayment of loans and borrowings is very negligible.
118
(d) Reasons for default in repayment of Loans and Borrowings
The insufficient return from investment, shortage of working capital,
diversion of funds and purposeful neglect are found to be the reasons for the
default in repayment of loans and borrowings. The rankings of the reasons for
the default in the repayment of loans and borrowings by the sample farms are
furnished in Table 3.15.
TABLE 3.15
RANKING OF THE REASONS FOR DEFAULT IN REPAYMENT OF
LOANS AND BORROWINGS
Reasons
Ranks Total
1 2 3 4 5
No. % No. % No. % No. % No. % No.
Shortage of
fund 4 1.40 2 0.70 - - 1 0.40 7
Insufficient
return on
investment
1 0.40 2 0.70 2 0.70 1 0.40 - - 6
Diversion of
fund 1 0.40 2 0.70 4 1.40 - - 7
Purposeful
neglect - - - - - - 5 1.80 - - 5
Source: Primary Data
Table 3.15 shows that regarding the reason “Shortage of funds” 1.40%
of the respondents assigned rank one, 0.70% of them assigned rank two
and 0.40% of the respondents assigned rank five. Regarding the reason
“Insufficient return on investment” 0.40% of the respondents assigned rank one
and four, 0.70% of them assigned rank two and three. Regarding the reason
“Diversion of funds” 0.40% of the respondents assigned rank one,
0.70% of them assigned rank two and 1.40% of the respondents assigned rank
three. Regarding the reason “Purposeful neglect” 1.80 % of them assigned rank
four.
119
To identify the prominent reason for default in repayment of loans the
Friedman's test analysis was used and the results are given in table below.
TABLE 3.15a
FRIEDMAN'S TEST
Factors Mean SD Mean Rank
Shortage of fund 0.05 0.36 2.48
Insufficient return on investment 0.05 0.39 2.50
Diversion of fund 0.06 0.40 2.51
Purposeful neglect 0.07 0.53 2.52
It could be noted from the above table that among the four factors
“Purposeful neglect” was ranked first. It is followed by the “Diversion of
fund”. “Insufficient return on investment” was ranked third.
120
2) Financial Position
(a) Average Income from Poultry Farming per 1000 Birds (SSF)
The income of poultry farms consists of the income from sale of Eggs,
sale of Cull Birds, Manure and Gunny Bags. The sale of eggs is performed
through various channel of distribution available. Cull Birds are those birds
which cannot lay eggs further and they are sold out for meat purposes. The
farms have to sell them to the consumers through wholesalers or retailers or
agents. Similarly the Manure is sold to the customers. The Manure is used as
the best fertilizer in horticulture sector and in agriculture fields. The Gunny
Bags are sold or returned to the suppliers.
The data collected from the sample poultry farms of SSF were compiled
and shown in Table 3.16.
TABLE 3.16
AVERAGE INCOME FROM POULTRY FARMING (SSF)
Year Eggs
(`)
Cull birds
(`)
Manure
(`)
Gunny
bags
(`)
Total
(`)
2008-09 5,96,163 38,100 6,400 9,320 6,49,483
2009-10 7,36,740 47,680 6,750 9,600 8,00,770
2010-11 7,77,650 51,100 6,800 9,800 8,45,350
2011-12 8,01,600 48,980 7,050 10,250 8,67,880
Mean 7,28,038 46,465 6,750 9,743 7,90,871
SD 91,904.77 5,752.04 267.71 391.44 9,8297.01
CV (%) 12.62 12.38 3.97 4.02 12.43
AAGR (%) 10.74 9.39 3.30 3.23 10.51
LAGR (%) 9.03 7.76 2.96 3.07 8.85
CAGR (%) 9.88 8.58 3.02 3.11 9.68
Source : Compiled from the records of poultry farms
121
It is evident from the above table that income from sale of eggs in
2008-09 was ` 5,96,163 and it has increased to ` 8,01,600 in 2011-12. The
income from sale of cull birds was ` 38,100 in 2008-09 and it has increased to `
48,980 in 2011-12. The income from sale of manure was ` 6,400 in 2008-09
and it has increased to ` 7,050 in 2011-12. The income from sale of gunny bags
was ` 9,320 in 2008-09 and it has increased to ` 10,250 in 2011-12. The total
income from sale of various sources of poultry farms was` 6,49,483 in 2008-09
and same has increased to ` 8,67,880 in 2011-12.
It is inferred from the above analysis that there is a significant increase
in income from poultry farms during period 2008-09 to 2011-12.
The coefficient variation for sale of eggs, cull birds, manure and gunny
bags were 12.62%, 12.38%, 3.97% and 4.02% respectively and for total
income it is 12.43%. More variation is found in the case of in income from
sale of eggs.
The AAGR of income from sale of eggs is more (10.74%) followed by
sale of cull birds (9.39%) and it is less in sale of gunny bags (3.23%). The
LAGR of income from sale of eggs is more (9.03%) followed by sale of cull
birds (7.76%) and is less in sale of manure 2.96%. The CAGR of sale of eggs
is more (9.88%) followed by cull birds (8.58%) and is less in sale of manure
(3.02%). The overall growth rate of income was 9.68%.
122
b) Average Net Return per 1000 Birds (Profitability of the Poultry
Farming)
Profit is the excess of the sales revenue earned over the cost of
production incurred. Profit is measured as excess of output values over the
input cost. Profitability is a relative concept showing the ability of the farm to
make profit. The economic viability of an industry can be assessed from its
profitability. Profits are the resources for the internal financing of expansion of
a poultry farming.
Net Return (Profitability) of SSF is calculated as follows:
Net Return = Income from (Sale of Eggs + Cull Birds + Manure and Gunny
Bags) Cost of Production.
123
The net returns of sample small scale poultry farms is presented in the
Table 3.17.
TABLE 3.17
AVERAGE NET RETURN FROM POULTRY FARMING (SSF)
Year
Income from
sales
(`)
Expenses
(Cost of
production)
(`)
Net profit / Loss
(`)
2008-09 6,49,483 6,45,827 3,656
2009-10 8,00,770 7,58,077 42,693
2010-11 8,45,350 8,07,709 37,641
2011-12 8,67,880 8,28,519 39,361
Mean 7,90,870.75 7,60,033 30,837.75
SD 98,297.01 81,670.41 18,242.12
CV (%) 12.43 10.75 59.16
AAGR (%) 10.51 8.83 353.50
LAGR (%) 8.85 7.86 33.10
CAGR (%) 9.68 8.45 101.44
From the above table it is inferred that the average net profit earned in
2008-09 was ` 3,656. During this year the poultry farming business was
affected by the outbreak of bird flu. But in 2009-10 there was a tremendous
increase in profit as there was more demand for eggs internally as well as from
abroad. The Profit in 2010-11 was ` 37,641 is comparatively less than in
2009-10 and 2011-12. But in 2011-12 the profit was higher than that of the
previous year 2010-11.
The average Net Profit for the period was ` 30837.75and coefficient of
variation was 59.16%. The AAGR for average net return for the study period
124
was 353.50%, LAGR was 33.10% and CAGR was 101.44%. It indicates that
overall growth rate of Net profit for SSFs was 101.44%.
125
c) Average Income from Poultry Farm for 1000 Birds (MSF)
Table 3.18 reveals that the average income from poultry farming for
own feed farms and company feed farms. Various sources of income from
poultry farming considered are income from sale of eggs, cull birds, manure
and gunny bags.
TABLE 3.18
AVERAGE INCOME FROM POULTRY FARMING (MSF)
Year
Eggs
(`)
Cull
birds
(`)
Manure
(`)
Gunny bags
(`)
Total
(`)
own
feed
company
feed
own feed
&
company
feed
own feed
&
company
feed
own
feed
company
feed
own
feed
company
feed
2008-09 5,66,355 5,96,163 38,100 5,400 3,500 9,320 6,13,355 6,48,983
2009-10 6,99,900 7,36,740 47,680 5,700 3,850 9,600 7,57,130 7,99,720
2010-11 7,35,670 7,79,650 51,100 5,900 4,150 9,800 7,96,820 8,46,450
2011-12 7,71,000 8,01,600 48,980 6,150 4,460 10,250 8,31,110 8,66,980
Mean 6,93,231 7,28,538 46,465 5,788 3,990 9,743 7,49,604 7,90,533
SD 89,426.10 92,269.36 5752.04 317.21 410.77 391.44 95,730.54 98,474.46
CV (%) 12.90 12.66 12.38 5.48 10.30 4.02 12.77 12.46
AAGR (%) 11.16 10.74 9.39 4.43 8.42 3.23 11.00 10.50
LAGR (%) 9.37 9.05 7.76 4.23 7.97 3.07 9.24 8.86
CAGR (%) 10.24 9.91 8.58 4.34 8.35 3.11 10.10 9.70
Source : Compiled from the records of poultry farms
The above table reveals that there is no difference in the income earned
by own feed farms and company feed farms from sale of cull birds and manure
for the period from 2008-09 to 2011-12. But there is a significant difference in
the income earned by the own feed farms and company feed farms for the
period from sale of eggs and gunny bags.
126
The average income from sale of eggs in company feed farms was more
(` 7,90,533) than in own feed farms (` 7,49,604). The reason for the difference
is that in the own feed poultry farms, farmers have to sell their eggs with
reduction in egg price (i,e minus 25 to 75 paise of NECC rate). But in the case
of company feed farms farmers sell their eggs to the feed traders at NECC egg
price rate.
The average income from sale of gunny bags in company feed farms
was more (` 9,743) than in own feed farms (` 3,990) for the period from
2008-09 to 2011-12. The reason behind this is that in company feed the empty
gunny bags are of good quality and is sold at higher price whereas in the case
of own feed the empty bags are of low quality and is sold at low price.
From the above table it is evident that AAGR of income from poultry
farming in own feed farms it is 11% and for company feed farms it is 10.50%.
The LAGR for own feed farms was more (9.24%) than in company feed farms
(8.86%). The CAGR for own feed farms was more (10.10%) than in company
feed farms (9.70%). From the above analysis it is observed that there was a
significant variation between company feed and own feed.
From the above analysis it is also observed that the income earned by
farmers with company feed was more than farms with own feed.
127
d) Average Net Return Per 1000 Birds (Profitability of the Poultry
Farming) (MSF)
Net Profit is the excess of sales revenue earned over the cost of
production incurred. Profitability is a relative concept showing the ability of
the farms to make profit. The economic viability of poultry farms can be
assessed from its profitability. Net return of MSFs with own feed and MSFs
with company feed are presented in the Table 3.19.
TABLE 3.19
AVERAGE NET RETURN FROM POULTRY FARMING (MSF)
Year
Income from sales
(`)
Expenses
(Cost of production)
(`)
Net profit / Loss
(`)
own feed company
feed own feed
company
feed own feed
company
feed
2008-09 6,13,355 6,48,983 6,18,885 6,62,122 -5,530 -13,139
2009-10 7,57,130 7,99,720 7,18,868 7,77,568 38,262 22,152
2010-11 7,96,820 8,46,450 7,81,400 8,29,032 15,420 17,418
2011-12 8,31,110 8,66,980 8,03,236 8,49,284 27,874 17,696
Mean 7,49,604 7,90,533 7,30,597 7,79,502 19,007 11,032
SD 95,730.54 98,474.46 82,612.57 83,874.02 18,835.34 16,259.17
CV (%) 12.77 12.46 11.31 10.76 99.10 147.39
AAGR (%) 11.00 10.50 9.22 8.83 270.99 82.94
LAGR (%) 9.24 8.86 8.43 7.86 40.71 79.56
CAGR (%) 10.10 9.70 9.04 8.45 - -
From the above table it is clear that in 2008-09 both types of farms
incurred loss. In 2009-10 the profit earned (` 38,262) is more in own feed
farms than in company feed farms (` 22,152). In 2010-11 the profit earned is
128
more in company feed farms (` 17,418) than in own feed farms (` 15,420). In
2011-12 the profit earned is higher (` 27,874) in own feed farms when
compared with farms with company feed (` 17,696).
The mean profit for the period for own feed farms is ` 19,007 and for
company feed farms it is ` 11,032. From the above analysis it is concluded that
the profit earned by own feed farms was more than farms with company feed.
The average increase in net return for own feed farms was 270.99%
where as it was 82.94% for company feed farms.
129
e) Average Income from Poultry Farm per 1000 Birds (LSF)
TABLE 3.20
AVERAGE INCOME FROM POULTRY FARMING (LSF)
Year
Eggs (`) Cull birds (`) Manure (`) Gunny bags (`) Total (`)
own
feed
company
feed
own feed &
company
feed
own feed &
company feed
own
feed
company
feed
own
feed
company
feed
2008-09 5,66,355 5,96,163 38,100 5,400 3,500 9,320 6,13,355 6,48,983
2009-10 6,99,900 7,36,740 47,680 5,700 3,850 9,600 7,57,130 7,99,720
2010-11 7,35,670 7,79,650 51,100 5,900 4,150 9,800 7,96,820 8,46,450
2011-12 7,71,000 8,01,600 48,980 6,150 4,460 10,250 8,31,110 8,66,980
Mean 6,93,231 7,28,538 46,465 5,788 3,990 9,743 7,49,604 7,90,533
SD 89,426.10 92,269.36 5752.04 317.21 410.77 391.44 95,730.54 98,474.46
CV (%) 12.90 12.66 12.38 5.48 10.30 4.02 12.77 12.46
AAGR
(%) 11.16 10.74 9.39 4.43 8.42 3.23 11.00 10.50
LAGR (%) 9.37 9.05 7.76 4.23 7.97 3.07 9.24 8.86
CAGR
(%) 10.24 9.91 8.58 4.34 8.35 3.11 10.10 9.70
Source : Compiled from the records of poultry farms
126
Table 3.20 shows that the income from poultry farming in company feed
farms was more than in own feed farms. The reason for wide variation is that
the egg price received by company feed farms is higher than that of own feed
farms.
The average income for own feed farms is ` 7,49,604 and for company
feed farms it is ` 7,80, 533. The coefficient for own feed farms is 12.77% and
for company feed farms it is 12.46%.
The AAGR for own feed farms is 11% and for company feed farms it is
10.50%. The LAGR for own feed farms is 9.24% and for company feed farms
it is 8.86%. The CAGR for own feed farms is 10.10% and for company feed
farms it is 9.70%.
From above analysis it is observed that growth rate of income of own
feed farms is more than the company feed farms.
127
f) Average Net Return Per1000 Birds (Profitability of the Poultry
Farming) (LSF)
TABLE 3.21
NET RETURN FROM POULTRY FARMING (LSF)
Year
Income from sales (`)
Expenses
(Cost of production)
(`) Net profit / Loss (`)
own feed company
feed own feed
company
feed own feed
company
feed
2008-09 6,13,355 6,48,983 6,16,447 6,60,919 -3092 -11936
2009-10 7,57,130 7,99,720 7,18,356 7,76,804 38,774 22,916
2010-11 7,96,820 8,46,450 7,73,972 8,27,522 22,848 18,928
2011-12 8,31,110 8,66,980 8,04,703 8,48,095 26,407 18,885
Mean 7,49,603.75 7,90,533.25 7,28,369.50 7,78,335 21,234.25 12,198.25
SD 95,730.54 98,474.46 82,731.11 83,814.64 17,595.18 16,200.15
CV (%) 12.77 12.46 11.36 10.77 82.86 132.81
AAGR (%) 11.00 10.50 9.41 8.85 442.84 91.45
LAGR (%) 9.24 8.86 8.52 7.87 34.18 72.53
CAGR (%) 10.10 9.70 9.13 8.45 - -
From the table it is clear that in 2008-09 a loss incurred by both type of
farms-own feed and company feed farms. In 2009-10 the profit earned
(` 38,774) was more in own feed farms than in company feed farms (` 22,916).
In 2010-11 the profit earned was more in own feed farms (` 22,848) than in
company feed farms (` 18,928). In 2011-12 the profit earned was higher
(` 26,407) in own feed farms when compared with that of company feed farms
(` 18,885).
Therefore Net return from LSF is higher in own feed farms than in
company feed farms. The mean profit for the period of study of LSF was
128
` 21,234.25 for own feed farms and it was ` 12,198.25 for company feed farms.
From the above analysis it is concluded that profit earned by own feed farms is
more than the profit earned by company feed farms.
TABLE – 3.22
CONSOLIDATED NET RETURN FROM POULTRY FARMING
Year
SSF MSF LSF
company
feed own feed
company
feed own feed
company
feed
2008-09 3,656 -5,530 -13,139 -3092 -11936
2009-10 42,693 38,262 22,152 38,774 22,916
2010-11 37,641 15,420 17,418 22,848 18,928
2011-12 39,361 27,874 17,696 26,407 18,885
Mean 30,837.75 19,007 11,032 21,234.25 12,198.25
SD 18,242.12 18,835.34 16,259.17 17,595.18 16,200.15
CV (%) 59.16 99.10 147.39 82.86 132.81
AAGR (%) 353.50 270.99 82.94 442.84 91.45
LAGR (%) 33.10 40.71 79.56 34.18 72.53
From the above table it is observed that the mean net profit for SSF with
company feed farms is more followed by LSF with own feed farms which is
less for MSF with company feed farms. LAGR of SSF with company feed
farms is less and is followed by LSF with of own feed farms which is high for
MSF with company feed farms. So it can be concluded that the SSF with
company feed farms is more viable and is followed by LSF with own feed
farms.
129
III. ANALYSIS OF MARKETING PERFORMANCE OF POULTRY
FARMS
The purpose of production is consumption. Effective consumption
depends on the economical marketing process. The choice of marketing
channel for a perishable product is always more complex. The channel cannot
be too long but the product should go wider and reach quicker. An analysis on
channels of marketing selected by various farms would provide better
understanding about the marketing performance of the poultry farms. The
introduction of modern marketing in poultry industry gave emphasis on
consumer orientation and profitability of organisation as well. The significance
of marketing in poultry farming further increased in view of the fact that the
poultry products are perishable commodities and hence require a quick
disposal. In the absence of proper marketing facilities a high degree of wastage
may be the fate of the producers of poultry products. The market for poultry
items may be of internal market or export market.
Importance of Poultry Marketing
Marketing plays an important role in the economic system of a country.
It ensures full and complete flow of products continuously from the producers
to the consumers and contributes to the maintenance of high level of economic
activity. Efficient marketing of poultry products is a strong bridge between
production and consumption. It contributes to the avoidance of cyclical
fluctuation like boom and depression and in the promotion of economic
activity.
Efficient and effective marketing of poultry products is essential to
provide reasonable returns to rural producers. Marketing of poultry products
involves various marketing functions and processes taking place soon after the
bird lays egg. Effective marketing of poultry products enhances the demand
for poultry products, thereby creating employment opportunities to rural
masses. It also improves the income level and standard of living of poultry
farmers. Amino acid, fatty acid, vitamins, minerals etc are essential for the
130
growth and maintenance of physical existence of human being. These vitamins
and minerals are rich in egg and poultry meat. Poor people can obtain these
nutrients at a lesser cost. Marketing of poultry products makes available the
poultry products at the right time, right place, in right quantity and at right
price. Poultry products are marketed in the country in various forms and
convenience to suit consumer choice. The main stumbling block in the
marketing of poultry and egg is its perishability. The nutritional advisory
committee of India has recommended half an egg daily, per person, for
maintenance of normal health. To meet this recommended consumption
requires more than 99000 million eggs per year. So by marketing the poultry
products throughout the country, malnutrition can be avoided.
Marketing channel for egg marketing in Namakkal
A marketing channel is a set of independent organizations involved in
the process of making a product or service available for use or consumption.
Intermediary refers to any distribution channel member located between the
producer and the end user. Poultry industry is one of the fast growing
agriculture sector. Namakkal plays a significant role in poultry industry.
While for any agricultural product, the producer gets only 30% to 35%
of the consumer price, the egg producers in India obtain 70% -75% of the
consumer price.1
The major output of the poultry industry is egg, meat and
byproducts. The price for the poultry products at a particular place is
determined not only due to local market but also by the conditions prevalent in
the region for the state. Thus the significance of marketing in the field of
poultry industry has gained enormous potentialities and this calls for an
effective exploration of the channel of distribution in the marketing of eggs.
The marketing of eggs in Tamil Nadu is mainly concerned with the
supply from Namakkal Zone. Nearly 55 percent of eggs produced in
Namakkal Zone are marketed outside the state. The remaining portion is
consumed by the people state. The National Egg Co-ordination Committee
(NECC) in Namakkal fixes the prices of eggs.
131
Marketing Channel for Egg Marketing
Wholesaler – Retailer – Consumer
1. Producer Egg Trader
Exporter
Wholesaler – Retailer – Consumer
2. Producer Input supplier
Exporter
Consumer
3. Producer
Exporter
Role of National Egg Co-ordination Committee (NECC)
NECC is an association of poultry farmers and traders established in
1982 by Dr.B.V.Rao “Father of modern poultry in India” and a group of
farmers to enable farmers to declare their own farm -gate price for eggs. It is
an unique institution with no parallel in the world. Irrespective of size or
location the farmer that too, for his entire production at his farm-gate gets the
official notified price as decided by elected farmer representatives of NECC
every day, which is published in local leading dailies.
NECC is a charitable trust with 24 zones and 118 local committees, has
about 25000 farmers as its members who are spread out all over India. In every
production centre it is helping the layer farmers to obtain reasonable,
remunerative, viable price for eggs based on demand and supply for a
production centre and its connected consumption centers. To ensure traders do
not exploit farmers, NECC undertakes market intervention scheme as and
where necessary like extension of subsidy or directly procuring eggs for cold
storage in the domestic market. To enforce the price declared, NECC also has
its market arm, Agrocorpex India Limited (ACIL), a public limited company,
entirely owned and managed by poultry farmers. NECC has also been
instrumental, at the instance of poultry farmers, in incorporating Bharat Egg
Producer‟s Association which encourages export of shell eggs, promotion of
egg in electronic and print media and sponsors sports and related activities to
promote consumption of poultry products.
132
NECC is the only agency, well recognized by policy makers in State and
Centre as a representative body of poultry the industry to represent the interests
of poultry farmers and has been effective to get the grievances addressed and
remedial measures initiated.5
MARKETING PRACTICES OF POULTRY FARMS
The marketing practices of the poultry farms in Namakkal Division and
Tiruchengode Division of Namakkal District, have been analysed on the basis
of the following variables.
1. Sources of finding the egg price.
2. Egg selling rate.
3. Marketing channel adopted.
4. Mode of egg sales.
5. Method of disposal of poultry manure.
6. Method of disposal of cull birds.
133
(i) Sources of finding the egg price
Table 3.23 shows the sources of finding the egg price by the farmers in
Namakkal and Tiruchengode divisions.
TABLE 3.23
SOURCES OF FINDING THE EGG PRICE
S.No. Sources
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1
National Egg
Coordination
Committee [NECC]
108 50.9 42 63.6 150 54.0
2. News papers 104 49.1 21 31.8 125 45.0
3. Rate given by the
procurer of eggs - - 3 4.5 3 1.1
Total 212 100 66 100 278 100
Source: Primary Data
The above table reveals that for majority (54%) of the poultry farmers,
the source of finding the egg rate is through National Egg Coordination
Committee (NECC). A divisionwise analysis shows that in Tiruchengode
Division more farms rely on this source (63.6%) than in Namakkal Division
(50.9%). The next source of knowing the egg rate is through News paper
accounting for 45% of the total. The percentage in Namakkal Division is more
(49.1%) than in Tiruchengode Division (31.8%). For the remaining 1.1% of
farmers of Tiruchengode Division the source of knowing the egg price is
through rate given by the procurer of eggs.
134
(ii) Egg selling rate
The following table shows rate at which the eggs are sold in both the
divisions Namakkal district. The eggs can be sold at various rates namely
NECC rate, NECC rate minus 25 to 75 paisa and NECC + Marketing expenses
(Direct Sale).
TABLE 3.24
SELLING RATE OF EGGS
S.No. Rate
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. NECC rate 90 42.5 27 40.9 117 42.1
2. NECC rate minus
25 to 75 paisa 98 46.2 36 54.5 134 48.2
3.
NECC+ Marketing
expenses
(Direct Sale)
24 11.3 3 4.5 27 9.7
Total 212 100 66 100 278 100
Source: Primary Data
From the above Table it is clear that the majority (48.2%) of sample
farmers sell their eggs at NECC rate minus 25 to 75 paisa to the egg traders. In
Tiruchengode Division the percentage of farmers is more (54.5%) than in
Namakkal Division (46.2%). At NECC rate, 42% of sample farms sell their
eggs to feed supplier (Input supplier), the percentage of Namakkal Division is
more (42.5%) when compared to Tiruchengode Division (40.9%). The
remaining 9.7% of sample farms sell their eggs at NECC + Marketing expenses
rate directly to the consumers. Divisionwise analysis shows that in Namakkal
Division it is 11.3% and in Tiruchengode Division it is 4.5%.
135
(iii) Marketing channel adopted
The poultry farmers of Namakkal District farmers depend on
intermediaries for the disposal of poultry products. The important marketing
channel adopted by the poultry farmers are Egg Trader and Input supplier.
Table 3.25 presents the marketing channel adopted by the sample farms in
Namakkal District.
TABLE 3.25
MARKETING CHANNEL ADOPTED
S. No. Marketing Channel No Yes Total
No. % No. % No. %
1. Direct Sale to the Consumer 236 84.9 42 15.1 278 100
2. Through Egg Trader 135 49.6 143 51.4 278 100
3. Through Feed Trader
(Input Supplier) 136 48.9 142 51.1 278 100
4. To Exporters 268 96.4 10 3.6 278 100
Source: Primary Data
The Table 3.25 reveals that out of 278 sample farms selected majority
143 of sample farmers sell their eggs through Egg trader and next 142 of
sample farmers sell eggs through Feed trader (Input Supplier). 42 of them sell
directly in the market and last 10 sample farmers sell eggs to the Exporter. It is
seen that few sample farmers sell their eggs through both an Egg trader and
Feed trader.
136
(iv) Mode of egg sales
The mode of sales may be cash sales, credit sales and both. The mode
of sales adopted by the sample farms in Namakkal Division and Tiruchengode
Division of Namakkal District is shown in Table 3.26.
TABLE 3.26
THE MODE OF EGG SALES BY SAMPLE FARMS
S.No. Mode of
sales
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. Cash Sales 64 30.2 14 21.2 78 28.1
2. Credit Sales 27 12.7 4 6.1 31 11.2
3. Both 121 57.1 48 72.7 169 60.8
Total 212 100 66 100 278 100
Source: Primary Data
Out of 278 sample farms taken up for the study, it is observed that
majority (60.8%) of the farms sell under both the cash sales and credit sales
method. The percentage is more (72.7%) in Tiruchengode Division when
compared to Namakkal Division (57.1%).
30.2% of the sample farms in Namakkal Division adopt cash sales
method while it is 21.2% in Tiruchengode Division. In Namakkal Division
12.7% of sample farms sell eggs on credit basis while in Tiruchengode
Division 6.1% of the sample farms have credit sales.
137
(v) Method of disposal of poultry manure
Poultry manure is the byproduct obtained from the farming operation. It
is one of the best biofertilizer which can be used for the agricultural purposes.
The method of disposal of poultry manure followed by the sample farms is
shown in Table 3.27.
TABLE 3.27
METHOD OF DISPOSAL OF POULTRY MANURE BY
SAMPLE FARMS
S. No. Method of
Disposal
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. Own purpose 0 - 0 - 0 -
2. Selling 208 98.1 63 95.5 271 97.5
3. Both 4 1.9 3 4.5 7 2.5
Total 212 100 66 100 278 100
Source: Primary Data
Table 3.27 reveals that 97.5% of sample farms sell the poultry manure to
others. In Namakkal Division the percentage is more (98.1%) than in
Tiruchengode Division (95.5%). The remaining 2.5% of sample farms use part
of poultry manure for their own purpose and sell the rest.
138
(vi) Method of disposal of cull birds
The following table shows the method of disposal of cull birds in
Namakkal and Tiruchengode division of Namakkal District. The cull birds can
be sold either locally or sold to cull bird merchants.
TABLE 3.28
METHOD OF DISPOSAL OF CULL BIRDS BY SAMPLE FARMS
S.No. Method of
sales
Division Total
Namakkal Tiruchengode
No. % No. % No. %
1. Local sales 0 - 0 - 0 -
2. Through cull
bird merchants 210 99.06 65 98.48 275 98.92
3.
Local sales and
Through cull
bird merchants
2 0.94 1 1.52 3 1.08
Total 212 100 66 100 278 100
Source: Primary Data
The method of disposal of Cull birds through cull bird merchants is
found to be preferred by the poultry farms (98.92%) than in other method. In
Namakkal Division it is more (99.06%) than in Tiruchengode Division
(98.48%). The sample farms which sell both to cull bird merchants and make
local sales is very negligible.
(B) ANALYSIS OF PROBLEMS OF POULTRY FARMS
The poultry farm owners suffer from various problems with differing
dimensions. Among these problems, the common issues related to the poultry
farm owners were studied. From the primary survey conducted among the
poultry farms of Namakkal District, it was found out that the majority of
poultry farms face problems in the area of production, finance and marketing of
eggs. The farm owners reported different problems. An analysis of the
problems experienced by the farm owners in the area of production, finance
and marketing of eggs have been made in this section.
139
i) Problems in the area of production
Table 3.29 presents the number of farms, divisionwise, that face
problem in production activity.
TABLE 3.29
PROBLEMS EXPERIENCED IN PRODUCTION ACTIVITIES
Problems in the area of
production
Division Total
Namakkal Tiruchengode No. %
No. % No. %
Yes 205 96.70 66 100 271 97.5
No 7 3.30 - - 7 2.5
Total 212 100 66 100 278 100
The above Table shows that in Namakkal Division 96.70% of
respondents have problems in respect of production activities and in
Tiruchengode Division all (100%) of them have problems in production
activities.
The problems enumerated by the sample farms are high cost of chicks
and frequent fluctuations in prices, high cost of feed and shortage of feed
ingredients, cost of labour, high rate of infection, high rate of mortality of
birds, lack of adequate training facilities, lack of veterinary services, lack of
facility to check quality of feed, electricity supply, under utilization of installed
capacity, cost of medicines, lack of assistance from the government, shortage
of water and delay or irregularity in supply of input. Opinion of the
respondents regarding problems faced are shown in the following table.
140
TABLE 3.30
OPINION ON THE PROBLEMS IN RESPECT OF PRODUCTION BY
SAMPLE UNITS
S.No. Problems faced HA A N DA HDA Total
No. % No. % No. % No. % No. % No.
1.
High cost of
Chicks and
frequent
fluctuations in
the prices
156 57.56 94 34.69 17 6.27 3 1.11 1 0.37 271
2.
High cost of
feed and
shortage of feed
ingredients
148 54.61 111 40.96 11 4.06 - - 1 0.37 271
3. Cost of labour 125 46.13 126 46.49 20 7.38 - - - - 271
4. High rate of
infection 114 42.07 127 46.86 25 9.23 5 1.85 - - 271
5.
High rate of
mortality of
birds
90 33.21 135 49.82 36 13.28 10 3.69 - - 271
6. Lack of adequate
training facilities 76 28.04 110 40.59 66 24.35 19 7.01 - - 271
7. Lack of
veterinary
services
95 35.06 100 36.90 52 19.19 23 8.49 1 0.37 271
8.
Lack of facility
to check quality
of feed
145 53.90 108 40.15 12 4.46 4 1.49 2 - 271
9. Electricity
supply 143 52.77 114 42.07 12 4.43 2 0.74 - - 271
10.
Under utilization
of installed
capacity
38 14.02 127 46.86 94 34.69 11 4.06 1 0.37 271
11. Cost of
medicines 75 27.68 160 59.04 30 11.07 5 1.85 1 0.37 271
12.
Lack of
assistance from
the government
87 32.10 118 43.54 55 20.30 9 3.32 2 0.74 271
13. Shortage of
water 89 32.84 114 42.07 58 21.40 9 3.32 1 0.37 271
14.
Delay or
Irregularity in
supply of inputs
148 54.61 111 40.96 11 4.06 - - 1 0.37 271
Source: Primary Data
141
It is clear from the above table that majority 57.56 percent of the sample
farms have highly agreed with the problem of “High cost of chicks and
frequent fluctuations in the prices”, 54.61 percent of the respondents have
highly agreed with the problem of “High cost of feed and shortage of feed
ingredients”, 46.49 percent of the respondents have agreed with the problem of
“Cost of labour”, 46.86 percent of the respondents have agreed with the
problem of “High rate of infection”, 49.82 percent of the respondents have
agreed with the problem of “High rate of mortality of birds”, 40.59 percent of
the respondents have greed with the problem of “Lack of adequate training
facilities”, 36.90 percent of the respondents have agreed with the problem of
“Lack of veterinary services”, 53.90 percent of the respondents have highly
agreed with the problem of “Lack of facility to check quality of feed”. 52.77
percent of the respondents have highly agreed with the problem of “Electricity
supply” and 46.86 percent of the respondents have agreed with the problem of
“Under utilization of installed capacity ”, 59.04 percent of the respondents have
agreed with the problem of “Cost of medicines”, 43.54 percent of the
respondents have agreed with the problem of “Lack of assistance from the
government”, 42.07 percent of the respondents have agreed with the problem
of “Shortage of water” and 54.61 percent of the respondents have highly agreed
with the problem of “Delay or Irregularity in supply of inputs”.
142
To identify the most prominent problem faced by the sample farms the
Friedman‟s test analysis was used and the results are given in Table 3.30a.
TABLE 3.30a
FRIEDMAN’S TEST
S.No. Problems Mean SD Mean
Rank
1. High cost of Chicks and frequent fluctuations in
the prices 4.74 0.45 9.76
2. High cost of feed and shortage of feed
ingredients 4.78 0.51 10.13
3. Cost of labour 4.33 0.68 7.37
4. High rate of infection 4.41 0.69 8.04
5. High rate of mortality of birds 4.19 0.74 6.72
6. Lack of adequate training facilities 3.93 0.78 5.41
7. Lack of veterinary services 4.26 0.81 7.30
8. Lack of facility to check quality of feed 4.11 0.70 6.15
9. Electricity supply 4.33 0.55 7.28
10. Under utilization of installed capacity 3.56 0.70 3.98
11. Cost of medicines 4.52 0.64 8.52
12. Lack of assistance from the government 3.89 0.70 5.11
13. Shortage of water 4.59 0.69 9.11
14. Delay/Irregularity in supply of inputs 4.78 0.51 10.13
It could be noted from the Table 3.30a that among the problems “High
cost of feed and shortage of feed ingredients & Delay/Irregularity in supply of
inputs” was ranked first. “High cost of Chicks and frequent fluctuations in the
prices” was ranked second and “Shortage of water” was ranked third.
143
Test for Mean score regarding Problems in the area of production
(Average score analysis)
The significant difference between the mean scores of the problems in
the area of production were tested using the inferential statistics of Analysis of
variance (ANOVA) and the Independent t test after verifying the normality
assumption by Q-Q Plot technique.
The test for mean scores Analysis of Variance (ANOVA) test procedure
is used to compare mean scores of more than two groups. The procedure
assumes that the variances of the groups are equal and it was tested with
Levene‟s test statistics and is used to test the significant difference between the
mean score in the area of production among the respondents regarding various
problems in the area of production.
The level of problem to respondents and the personal profile factors
namely size of farm, age (yrs), education, marital status, type of business, were
analyzed in this section at 5% level of significance. The table displays the
descriptive statistics of the sample size, mean, standard deviation and Mean %.
The table also shows that the F statistics, calculated as the ratio of the
variances. The column P value shows the probability value from the F
distribution.
144
1. Size of farm and Level of Problem
Test for mean scores regarding problems in the area of production and
size of farm were tested with ANOVA test procedures and the results of the
analysis are given in Table 3.31.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the area of production and the size of farm.
To study the effect of size of farm, the distributions of sample
respondents according to Size of farm and the Level of problem among the
respondents are shown in the Table 3.31.
TABLE 3.31
SIZE OF FARM AND LEVEL OF PROBLEM
Size of farm Range
Mean SD Mean % F p Min Max
Small 3.21 4.64 4.07 0.32 81.33
27.91 < 0.001 Medium 2.07 4.43 3.93 0.38 78.67
Large 3.00 4.21 3.63 0.29 72.67
It could be noted from the table that the level of problem among Small
size firm ranged between 3.21 and 4.64 with an average of 4.07, the level of
problem among Medium size farm ranged between 2.07 and 4.43 with an
average of 3.93 and the level of problem among Large size farm ranged
between 3 and 4.21 with an average of 3.63.
Table 3.31 also shows the F statistics and „p‟ value. As „p‟ value is less
than 0.01 the null hypothesis is rejected. Hence a significant difference is
observed in the level of problem with respect to the size of farm.
Thus, it is inferred from the above analysis that the maximum Level of
problem was among Small size farm.
145
2. Age and Level of Problem
Test for mean scores regarding problems in the area of production and
Age of the respondents were tested with ANOVA and the results of the
analysis are given in Table 3.32.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the area of production and the age of the
respondents.
To study the effect of age, the distribution of sample respondents
according to Age and the Level of problem among the respondents are shown
in the Table 3.32.
TABLE 3.32
AGE AND LEVEL OF PROBLEM
Age (in years) Range
Mean SD Mean% F p Min Max
25-35 2.07 4.50 3.81 0.65 76.23
1.43 0.234 36-45 2.64 4.57 3.89 0.37 77.72
46-55 2.71 4.64 3.98 0.34 79.51
Above 55 3.00 4.64 3.91 0.36 78.21
It could be noted from the table that the level of problem among 25-35
age group was ranged between 2.07 and 4.50 with an average of 76.23, the
level of problem among 35-45 age group was ranged between 2.64 and 4.57
with an average of 3.89, the level of problem among 45-55 age group was
ranged between 2.71 and 4.64 with an average of 3.98 and level of problem
among the age group of above 55 was ranged between 3 and 4.64 with an
average of 3.91.
Since the „p‟ value is more than 0.05 the null hypothesis is accepted.
Hence a significant difference is observed in the level of problem with respect
to the age of the respondents.
Thus, it is inferred from the above analysis that the maximum Level of
problem was among the respondents in the age group of 46-55.
146
3. Education and Level of Production Problem
Test for mean scores regarding problems in the area of production and
Education of the respondents were tested with ANOVA test procedures and the
results of the analysis are given in Table 3.33.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the area of production and the education of the
respondents.
To study the effect of education, the distribution of sample respondents
according to Education and the Level of problem among the respondents are
shown in the Table 3.33.
TABLE 3.33
EDUCATION AND LEVEL OF PROBLEM
Education Range
Mean SD Mean% F p Min Max
No formal education 3.79 4.43 4.15 0.19 83.09
6.26 0.002 Secondary education 2.64 4.64 3.93 0.37 78.50
College education 2.07 4.64 3.86 0.39 77.27
It could be noted from the table that the level of problem among
respondents with no formal education ranged between 3.79 and 4.43 with an
average of 4.15, the level of problem among the respondents with education
upto secondary level ranged between 2.64 and 4.64 with an average of 3.93 and
the level of problem among respondents with collegiate education ranged
between 2.07 and 4.64 with an average of 3.86.
Since the „p‟ value is less than 0.01 the null hypothesis is rejected.
Hence a significant difference is observed in the level of problem with respect
to the education of the respondents.
Thus, it is inferred from the above analysis that the maximum level of
problem was among respondents with no formal education.
147
4. Marital status and level of problem
Test for mean scores regarding problems in the area of production and
Marital status of the respondents were tested with ANOVA test procedures and
the results of the analysis are given in Table 3.34.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the area of production and the marital status of
the respondents.
To study the effect of marital status, the distribution of sample
respondents according to Marital status and the level of problem among the
respondents are shown in the following Table 3.34.
TABLE 3.34
MARITAL STATUS AND LEVEL OF PROBLEM
Marital Status Range
Mean SD Mean % t p Min Max
Married 2.64 4.64 3.93 0.35 78.67 3.22 0.001
Unmarried 2.07 4.21 3.40 0.87 68.00
It could be noted from the table that the Level of problem among
married ranged between 2.64 and 4.64 with an average of 3.93 and the Level of
problem among unmarried ranged between 2.07 and 4.21 with an average of
3.40.
Since the „p‟ value is less than 0.01 the null hypothesis is rejected.
Hence a significant difference is observed in the level of problem with respect
to the marital status of the respondents.
Thus, it is inferred from the above analysis that the maximum Level of
problem was among married.
148
5. Type of business and Level of Problem
Test for mean scores regarding problems in the area of production and
Type of business of the respondents were tested with ANOVA test procedures
and the results of the analysis are given in Table 3.35.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the area of production and the type of business.
To study the effect of type of business, the distributions of sample
respondents according to Type of business and the level of problem among the
respondents are shown in the Table 3.35.
TABLE 3.35
TYPE OF BUSINESS AND LEVEL OF PROBLEM
Type of Business Range
Mean SD Mean % F p Min Max
Poultry farming only 2.07 4.43 3.82 0.66 76.36
1.60 1.190
Poultry farming and
Agriculture 2.64 4.64 3.90 0.37 78.07
Poultry farming and Business 3.21 4.64 3.98 0.34 79.69
Poultry farming and Employed 3.43 4.36 4.07 0.25 81.43
It could be noted from the above table that the level of problem among
respondents of poultry farming business only ranged between 2.07 and 4.43
with an average of 3.82, the level of problem among the respondents of poultry
farming and agriculture business ranged between 2.64 and 4.64 with an average
of 3.90, the level of problem among respondents of poultry farming and
business ranged between 3.21 and 4.64 with an average of 3.98 and the level of
problem among respondents of poultry faming and employed ranged between
3.43 and 4.36 with an average of 4.07.
Since the „p‟ value is greater than 0.05 the null hypothesis is accepted.
Hence no significant difference is observed in the level of problem with respect
to the type of business.
Thus, it is inferred from the above analysis that the maximum level of
problem was among respondents having both poultry farming and employed.
149
2. Problems in marketing of eggs
The problems in the marketing of eggs faced by sample farms are price
fluctuation, transportation, climatic condition, academic season, diseases,
religion, festive seasons, middlemen intervention, storage cost, market handling
charges, export and noon meal schemes.
TABLE 3.36
OPINION ON THE PROBLEMS FACED BY SAMPLE UNITS IN
MARKETING OF EGGS
S.No. Problems HA A N DA Total
No. % No. % No. % No. % No. %
1. Price
Fluctuation 171 63.3 92 34.1 7 2.6 - - 270 100
2. Transportation 73 27.0 162 60.0 35 13.0 - - 270 100
3. Climatic
condition 73 27.0 128 47.4 69 25.6 - - 270 100
4. Academic
season 109 40.4 88 32.6 71 26.3 2 0.7 270 100
5. Diseases 123 45.6 95 35.2 52 19.3 - - 270 100
6. Religion 30 11.1 142 52.6 92 34.1 6 2.2 270 100
7. Festive seasons 53 19.6 145 53.7 70 25.9 2 0.7 270 100
8. Middlemen
intervention 52 19.3 104 38.5 79 29.3 35 13.0 270 100
9. Storage cost 57 21.1 123 45.6 73 27.0 17 6.3 270 100
10.
Market
Handling
Charges
80 29.7 121 45.0 54 21.0 15 5.6 270 100
11. Export 182 67.4 65 24.1 10 3.7 13 4.8 270 100
12. Noon meal
Schemes 101 37.4 101 37.4 50 18.5 18 6.7 270 100
Source: Primary Data
150
It is clear from the table 3.36 that majority 63.3 percent of the
respondents have highly agreed with the problem of “Price Fluctuation”,
60 percent of the respondents have agreed with the problem of
“Transportation”, 47.4 percent of the respondents have agreed with the problem
of “Climatic Condition”, 40.4 percent of the respondents have highly agreed
with the problem of “Academic season”, 45.6 percent of the respondents have
highly agreed with the problem of “Diseases”, 52.6 percent of the respondents
have agreed with the problem of “Religion”, 53.7 percent of the respondents
have agreed with the problem of “Festive seasons”, 38.5 percent of the
respondents have agreed with the problem of “Middlemen intervention”, 45.6
percent of the respondents have agreed with the problem of “Storage cost”, 45
percent of the respondents have agreed with the problem of “Market Handling
Charges”, 67.4 percent of the respondents have highly agreed with the problem
of “Export” and 37.4 percent of the respondents have highly agreed and agreed
with each of the problem of “Noon meal schemes”. No respondent has stated
as strongly disagree with the problems in marketing of eggs.
151
To identify the more prominent problem faced by the respondents
Friedman‟s test analysis was used and the results are given in Table 3.36a.
TABLE 3.36a
FRIEDMAN’S TEST
S.No. Problems Mean SD Mean Rank
1. Price Fluctuation 4.61 0.532 8.70
2. Transportation 4.14 0.619 6.64
3. Climatic condition 4.01 0.725 6.04
4. Academic season 4.13 0.828 6.66
5. Diseases 4.26 0.762 7.25
6. Religion 3.73 0.683 4.96
7. Festive seasons 3.92 0.695 5.80
8. Middlemen intervention 3.64 0.935 5.00
9. Storage cost 3.82 0.838 5.58
10. Market Handling
Charges 3.99 0.849 6.23
11. Export 4.54 0.784 8.66
12. Noon meal Schemes 4.05 0.909 6.49
It could be noted from the above table that among the twelve factors
“Price Fluctuation” was ranked first. It was followed by the “Export”,
“Diseases” was ranked third.
152
Test for Mean score regarding Problems in marketing of eggs (Average
score analysis)
The association between Level of Problem to respondents and the
personal profile factors namely Size of farm, Age (yrs), Education, Marital
Status, Type of Business, were analyzed in this section. The chi square test is
used at 5% level of significance.
1) Size of farm and Level of Problem
Test for mean scores regarding problems in the marketing of eggs and
Size of farm of the respondents were tested with ANOVA test procedures and
the results of the analysis are given in Table 3.37.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the marketing of eggs and the size of farm of the
respondents.
To study the effect of size of farm, the distribution of sample
respondents according to Size of farm and the Level of problem among the
respondents are shown in the following Table 3.37.
TABLE 3.37
SIZE OF FARM AND LEVEL OF PROBLEM
Size of farm Range
Mean SD Mean % F p Min Max
Small 3.42 4.67 4.14 0.29 82.71
9.41 < 0.001 Medium 3.17 4.75 3.98 0.30 79.65
Large 3.33 4.92 4.14 0.29 82.83
It could be noted from the table that the Level of problem among Small
size farm was ranged between 3.42 and 4.67 with an average of 4.14, the Level
of problem among Medium size farm was ranged between 3.17 and 4.75 with
an average of 3.98 and the Level of problem among Large size farm was
ranged between 3.33 and 4.92 with an average of 4.14.
153
Since the „p‟ value is less than 0.01 the null hypothesis is rejected.
Hence a significant difference is observed in the area of marketing of eggs in
the level of problem with respect to size of farm. Thus, it is inferred from the
above analysis that the maximum Level of problem was among large size farm.
154
2. Age and Level of Problem
Test for mean scores regarding problems in the marketing of eggs and
Age of the respondents were tested with ANOVA test procedures and the
results of the analysis are given in Table 3.38.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the marketing of eggs and the age of the
respondents.
To study the effect of age, the distributions of sample respondents
according to age and the Level of problem among the respondents are shown in
the following Table 3.38.
TABLE 3.38
AGE AND LEVEL OF PROBLEM
Age (yrs) Range
Mean SD Mean % F/t p Min Max
25 - 35 3.58 4.33 4.04 0.23 80.83
1.18 0.318 36 - 45 3.17 4.75 4.07 0.30 81.37
46 - 55 3.42 4.92 4.10 0.32 81.95
Above 55 3.33 4.50 3.99 0.27 79.87
It could be noted from the table that the Level of problem among 25-35
age group was ranged between 3.58 and 4.33 with an average of 4.04, the Level
of problem among 36-45 was ranged between 3.17 and 4.75 with an average of
4.07, the Level of problem among 46-55 was ranged between 3.42 and 4.92
with an average of 4.10 and Level of problem among above 55 was ranged
between 3.33 and 4.50 with an average of 3.99.
Since the „p‟ value is greater than 0.05 the null hypothesis is accepted.
Hence no significant difference is observed in the level of problem with respect
to age of the respondents.
Thus, it is inferred from the above analysis that the maximum Level of
problem was among 46-55 age group.
155
3) Education and Level of Problem
Test for mean scores regarding problems in the marketing of eggs and
education of the respondents were tested with ANOVA test procedures and the
results of the analysis are given in Table 3.39.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the marketing of eggs and the education of the
respondents.
To study the effect of education, the distributions of sample respondents
according to education and the Level of problem among the respondents are
shown in the following Table 3.39.
TABLE 3.39
EDUCATION AND LEVEL OF PROBLEM
Education Range
Mean SD Mean % F p Min Max
No formal education 3.58 4.50 4.04 0.24 80.73
0.33 0.722 Secondary
education 3.17 4.92 4.06 0.33 81.26
College education 3.42 4.75 4.09 0.27 81.72
It could be noted from the table that the Level of problem among No
formal education was ranged between 3.58 and 4.50 with an average of 4.04,
the Level of problem among secondary was ranged between 3.17 and 4.92 with
an average of 4.06 and the Level of problem among college was ranged
between 3.42 and 4.75 with an average of 4.09.
Since the „p‟ value is greater than 0.05 the null hypothesis is accepted.
Hence no significant difference is observed in the level of problem with respect
to education of the respondents.
Thus, it is inferred from the above analysis that the maximum Level of
problem was among respondents with college education.
156
4) Marital status and Level of Problem
Test for mean scores regarding problems in the marketing of eggs and
marital status of the respondents were tested with ANOVA test procedures and
the results of the analysis are given in Table 3.40.
Null Hypothesis: H0: There is no significant difference between the mean
scores regarding problems in the marketing of eggs and the marital status of the
respondents.
To study the effect of marital status, the distributions of sample
respondents according to marital status and the Level of problem among the
respondents are shown in the following Table 3.40.
TABLE 3.40
MARITAL STATUS AND LEVEL OF PROBLEM
Marital Status Range
Mean SD Mean
% F/t p
Min Max
Married 3.17 4.92 4.07 0.30 81.37 0.24 0.814
Unmarried 4.00 4.25 4.10 0.10 82.08
It could be noted from the table that the Level of problem among
married was ranged between 3.17 and 4.92 with an average of 4.07 and the
Level of problem among unmarried was ranged between 4 and 4.25 with an
average of 4.10.
Since the „p‟ value is greater than 0.05 the null hypothesis is accepted.
Hence no significant difference is observed in the level of problem with respect
to marital status of the respondents.
Thus, it is inferred from the above analysis that the maximum Level of
problem was among unmarried.
157
(3) Problems experienced in getting financial assistance from banks
The major problem experienced by the sample farms in Namakkal
District are inadequate financial assistance, delay in sanctioning of the loan
amount, complicated procedure and formalities, shortage of securities to pledge
and bird flu outbreak. Out of the 278 sample farms, majority 153 (55%) of the
sample farms have employed both own and borrowed funds in the business.
The poultry farmers raise borrowed funds mainly from the commercial banks.
Obtaining financial assistance from banks is not a smooth process and it
involves a lot of paper work and formalities.
The distribution of ranks assigned by the respondents for the various
problems experienced while getting financial assistance from banks is shown in
Table 3.41.
TABLE 3.41
RANKING OF THE PROBLEMS EXPERIENCED IN GETTING
FINANCIAL ASSISTANCE BY THE SAMPLE FARMS FROM BANKS
S.No Problems
Ranks Total
1 2 3 4 5
No. % No. % No. % No. % No. % No. %
1.
Inadequate
financial
assistance
18 28.6 17 27.0 9 14.3 11 17.5 8 12.7 63 100
2.
Delay in
sanctioning
the amount
18 28.6 20 31.7 16 25.4 7 11.1 2 3.2 63 100
3.
Complicated
procedures
& formalities
18 28.6 12 19.0 22 34.9 8 12.7 3 4.8 63 100
4.
Shortage of
securities to
pledge
5 7.9 6 9.5 9 14.3 24 38.1 19 30.2 63 100
5. Bird flu
outbreak 4 6.3 8 12.7 12 19.0 10 15.9 29 46.0 63 100
158
It is evident from Table 3.41 that regarding each of the problems of
“Inadequate financial assistance” “Delay in sanctioning the amount” and
“Complicated procedures & formalities”, 28.6% of the sample farms have
assigned rank one.
Regarding the problem “Shortage of securities to pledge” 7.9% of the
respondents have assigned rank one and 6.3% of the respondents have assigned
rank one for the problem “Bird flu outbreak”.
To identify the most prominent problem faced by the respondents Henry
Garrett ranking method was applied and the results of shown in the table
below.
TABLE 3.41a
GARRETT RANKING
S.
No. Problems Garrett Score Garrett Rank
1. Inadequate financial assistance 54.62 III
2. Delay in sanctioning the
amount 58.27 I
3. Complicated procedures &
formalities 56.41 II
4. Shortage of securities to
pledge 40.90 IV
5. Bird flu outbreak 39.14 V
It could be observed from the above table that the problem „Delay in
sanctioning the amount‟ was ranked first followed by „Complicated procedures
and formalities‟ and „Inadequate financial assistance‟ was ranked third.
159
C. POULTRY INDUSTRY AND ITS FUTURE PROSPECTS
Poultry occupies a special place in India, as the eggs and chicken
provide important and rich sources of protein, vitamins and minerals. It
provides rich organic manure and is an important source of income and
employment to millions of farmers and others engaged in allied activities in the
poultry industry.
Poultry Industry and India
India is the fifth largest producer of eggs and ninth largest producer of
poultry meat in the world, producing over 34 billion eggs and about 600,000
tons of poultry meat in 2004. In the overall market for poultry products, India is
positioned 17 in World Poultry Production. And analysts estimate that the
poultry sector in India has been growing at a much faster rate, along with other
industries such as BPO and Securities market. Over the past decade the poultry
industry in India has contributed approximately US $229 million, to the Gross
National Product (GNP). 6
Consumer Demand and Preferences
Poultry always has an increasing demand all over the world. In spite of
propaganda raised by organizations promoting vegetarianism and in spite of
threat of salmonella, world poultry industry is expanding, as the population is
increasing. Per capita consumption is also increasing. Not only that, many
countries which are not traditionally poultry - growers are giving incentives to
their poultry industry.
Overall, analysts studies that the total egg consumption is estimated to
increase from 34 billion in 2000 and to 106 billion in 2020, while poultry meat
consumption is predicted to increase from 687 million kilograms to 1,674
million kilograms. It has been found that egg consumption has grown at a much
faster pace, than the consumption of poultry meat. With the continual rise in
income, it is estimated to nearly triple by 2020. 7
160
Work carried in a poultry industry
Every poultry industry carries a common set of work from hatching to
culling. Each set of work can be done as a separate business and can support
other vendors who are in these industries. Sometimes all set of work can be
taken by a same vendor with different business units. In either case the business
has a huge set of demand on every part of work.
Eggs are used to bind a dish and, when whipped, may also incorporate
air making a cake or pudding very light. Vegan egg replacement powders are
available in health food shops. This can be useful, especially for tricky foods
like meringues.
Preference of white meat over dark meat
Dark meat also called as Red meat generally refers to beef, mutton, pork
and chevron. These meats are high in cholesterol. White meat is generally fish
and chicken. They have less content of cholesterol. It is cheap in price
compared to dark meat. In today‟s environment, taste and preference of
customer plays a crucial role in setting the demand of the product. This taste
and preference greatly depend on health consciousness factor and price.
As the white meat has a good nutritional value and is less in cholesterol,
it is greatly recommended by doctors, physicians and other health inspectors.
Also the price is comparatively low with dark meat. These factors generally
make a higher performance for white meat over dark meat.
Poultry market in India
In India, Namakkal is the major contributor of Indian market. This major
poultry producer of India, has been witnessing a positive change in the recent
years. The district alone accounts for about 75 per cent of the birds produced in
the Tamil Nadu zone of the National Egg Coordination Committee. The poultry
industry in India is vibrant despite a plethora of problems facing it. The zone
produces about 2.5 crore eggs a day, with Namakkal contributing 1.75 crore of
the total production. The labour-intensive sector provides direct employment to
over one lakh people. 8
161
The two issues confronting the sector are the ban imposed by some West
Asian countries on the import of table eggs from India and the spiralling cost of
poultry feed. The volume of export dropped to 20 lakh eggs a day from 50 lakh
after some Gulf nations banned egg import in the wake of the outbreak of bird
flu in some parts of India. The poultry farms in Namakkal zone have adopted
bio-security measures and carry out regular vaccinations. There is a proposal to
establish a disease research laboratory for the poultry industry. This would
boost the table eggs export from this part of the State.
Export prospects
According to Dr. P. Selvaraj, Chairman of the National Egg
Coordination Committee's Namakkal Zone, the buoyancy of the export trade
and the market potential opening out for the Indian table eggs in the West
Asian market has thrown greater opportunity for the layer egg producers in the
region.
World Survey on poultry
In a magazine, World-Poultry, an international magazine of poultry
business, a survey was conducted to study the prices of eggs and prices of
poultry feed in 45 countries. Conversion ratio that is an index of conversion of
feed into eggs was given due weightage. It was certainly an in-depth study of
poultry business in the world. The report points out that eggs are cheapest in
India, even though feed costs are not cheapest.
Finance for poultry
For the self sufficient poultry industry with complete sophistication in
the fields of production, breeding stocks, high quality feeds, pharmaceuticals,
medicines, poultry vaccines and equipment, the National Agricultural Bank and
Rural Development (NABARD) along with commercial and cooperative banks
are financing a large number of poultry schemes all over the country for
increasing production of eggs and broiler meat. The NABARD refinance for
poultry was about Rs.8.08 crores in 1983-84. This increased to Rs. 26 crores in
1985-86. This increased to Rs. 26 crores in 1985-86. This indicates the role that
162
is being played by banking institutions in poultry development. The NABARD
provides refinance assistance for poultry development for the following
purposes.
Schemes for poultry breeding including financing of pure line poultry
projects to produce grandparent stocks.
Financial assistance to hatcheries to produce commercial one day old
broiler or layer chicks from poultry breeding stocks.
Financing for the setting up of commercial egg production farms of
different sizes by small, medium and large farmers.
Financing for the setting up of commercial egg production farms of
different sizes by small, medium and large commercial broiler farmers.
Financial assistance for the manufacture of poultry medicine and
vaccines.
Financial assistance for egg marketing, broiler processing, preservation
and marketing of poultry meat.
The production of eggs has now reached an average of 300 eggs per year
per bird. The broiler growth now reached the stage of 1.75 kg per bird within
6 to 7 weeks. It is expected that the average growth in layers industry may be
around 7 to 8%, while in the case of broilers industry, it may be between
20-25% annum in the next decade. 9
The transformation of poultry farming in India from an age-old
backyard venture into an organised industrial proposition is the impact of
up-to-date technology and sound policies adopted by Governmental and
semi-governmental (including private) organisations of the country.
Feed Cost all over the world
Major cost as production of eggs is for the feed. These feed cost can be
reduced. India is gifted with natural sunshine, cultivable land, and sufficient
rains. And there is millions of unemployed. Even by providing water to thirsty
lands, we can make poultry feed that can be sufficient for the world poultry.
163
Even by controlling post harvest losses of food grains we will be able to feed
world poultry and world diary. Many countries have to import feed for their
poultry industry. India is lucky. We export 24 million tonnes of soya bean cake
to Europe, which is the main ingredient of poultry feed. We can export eggs or
chicken meat instead of soya bean-cake.
Poultry industry and electricity generation
An entrepreneur from Namakkal claims that the poultry's dropping litter
"holds the key" to electricity generation. He is confident that if the total poultry
litter in the Namakkal district is collected daily (6000 tonnes) and processed
nearly 16 MW of power an hour can be generated with 1000 tonnes of manure
and 10,000 litres of liquid biofertilizer as by products. It is organisation which
is touted as the country's first power project that extracts energy from poultry
excrement, produces now 3.76 MW of electricity.
The bird muck is collected daily from several places and brought to the
factory, where it is fed into a processing unit. It emits methane gas that is
converted into electricity with a patented technology. The slurry, generated as a
residue, is sold as manure and liquid bio-application to farmers.
The plant has been recognised by the Union Ministry of New and
Renewable Energy as a demonstration project for sustainable clean energy. The
plant is also one among the 11 projects worldwide approved by the United
Nations Development Programme. It has also been declared a clean
Development Project under the Kyoto Protocol to the United Nations
Framework convention on climate change. Many such plants would be a cheap
source of electricity in Tamilnadu, which is plagued by power shortage. 10
Indian Overview
Indian poultry industry is at cross road - considerable progress is already
made but we have miles to go. Most of the global brands are available in India,
still there are some opportunities for technology transfer particularly organic
brand and processing is as good as non-existent. There is a great potential
which is yet to be tapped. The market research report "Vision for Indian
164
Poultry Industry: Current Scenario and Future Prospects" predicts a relatively
strong growth for the egg and poultry meat industry, in both the urban and rural
areas, in the next two decades.
Future of poultry industry depends on Government and Indian
Entrepreneurship. There is lot of scope and future prospects for poultry
industry in India. If the market of this industry is rightly tapped by the
entrepreneurs, it is a “Golden Egg” industry for the future.
CONCLUSION
Production performance of poultry farms reveals that the average total
cost incurred for MSF with company feed was high when compared to LSF
with own feed and it was moderate in the case of SSF with company feed.
Though the formalities for getting loans from banks is complicated one, most
of the farmers rely on the banks for their financial assistance. The repayment of
loan is made promptly by most of the farmers. The net return from poultry
farming was more for SSF with company feed and it was low for MSF with
company feed. The reason behind this variation is that in the case of SSF with
company feed farmers sell their eggs to the traders at NECC rate and they
spend less amount towards labour charges and also they get high price for sale
of Gunny bags. In the case of MSF with company feed the overhead expenses
like electricity, water tank and maintenance charges are shared by less number
of birds and the feed cost was more. The net return from LSF was moderate
and it was between that of SSF and MSF. Problems faced by the poultry
farmers could also be reduced by implementing the suggestions given by the
poultry farmers.
165
REFERENCES
1. Dr. R. Mohanraj & Dr. L. Manivannan, "A Study on Economic Profile and
Financial Decision of Poultry Farm owners with reference to Namakkal District",
TN, IJMT Volume 2, Issue 5, May 2012.
2. Dr. P. Selvaraj, Chairman of NECC, Namakkal, The Hindu, April 26,2011.
3. The Hindu, Namakkal, July 15, 2012.
4. "An analysis of Production Strategy on Poultry Farms in Namakkal, TamilNadu".
(http : //umrefjournal.um.edu.my/filebank/article/418.
5. K.G. Anand, "Challenges and Opportunities for Marketing of Poultry Products".
(Marketing of Poultry Products, poulvet.com)
6. "Vision for Indian Poultry Industry: Current Scenario and Future Prospects",
PRLOG Press Release Distribution, (http://prlog.org).
7. "Vision for Indian Poultry Industry": Current Scenario and Future Prospects",
RNCOS Industry Research Solutions, (http://www.rncos.com).
8. "Transformation of Poultry Farming in India" The UK's expert provider of
custom essays, (UKESSAYS.com).
9. Ibid.
10. M.J.Prabhu, "Electrifying Enterprise - Poultry farmer turns litter into light", The
Hindu, Coimbatore, July 4, 2013 pp. 20.