final paper for seminer
TRANSCRIPT
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EFFECTS OF RESEARCH AND DEVELOPMENT ON
GROWTH AND PATENT RATES
UMIT YILMAN
Department of Economics
˙Izmir University of Economics
E-mail:[email protected]
January 23, 2009
Econometrics Project
Course: Econ 301-Econometrics
Instructor: Assist. Prof. Efe Postalcı
Term: 2008 Fall
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ABSTRACT
In my paper readers will have ability to understand the effects of research and development
on growth rate and patent rate. For this reason especially why some countries make so much
investment on research and development. Also, I will try to explain that why research and
development is the main point of the growth rate and patent rate.
Research and development is making some scientific researches on some serious areas, and
also growth rate is financially development of a country or a corporation. Additionally, patent
is right which is given for individuals to protect his of her copyright.
The other studies which are about research and development have discussed same discussion;
and also I will try to discuss my research with more detail..
1.INTRODUCTION
One of the most important things which provide increasing the growth rate to countries is
research and development. There are three reasons why research and development are so
significant, in order to innovate important things, and to become a leader on some areas, and
to prevent from custom manufacturing we need research and development. Additionally,
research and development is the most effective part to obtain the technology for nations.
However; research and development cause higher costs, it provides the most significant things
for people to get best one for themselves. Why research development is important because of
we as people need new things, and also customers need more efficient ones, and also
institutions need to be best in their professionalism so research development is so important.
The best research and development provides more growth rate and also more patent rate. If
people on research and development areas continuously improve your selves they always
become the best what they are working on.
At the beginning, my variables are research and development and growth rate and patent
rates. Growth rate cannot be considered without becoming research and development. Growth
rate depends on what you are doing on certain areas and also what is your best product or are
you monopoly or the first maker of something. Research and development help firstly to find
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important inventions or innovations. Why do people need it? Because, if research and
development are not enough developed people cannot invent something or people cannot
innovate. Research and development provide increasing growth rate also it helps to expand to
economical activities. For example, research and development create new jobs. Whereas,
research and development cause losing some jobs, it helps to arise new and better ones.
Research and development provide better ways to economy, so the economy's growth rate
obviously and positively affects from it.
Next one, if we consider developed countries they do never give concession, because they
know that without research and development nothing is going to happen. For example, if
research and development level is so low, we can make our works without helps of the other
countries or people. Furthermore, research and development are the main point of economy.
For example, as you are technology company has made new device, but it is new and easy and
efficient way to do your works and it helps to more efficiently to other companies; so you are
preferred by the other ones. Additionally, research and development affect investment rates,
because when some new things have found they obtain new factories also new investments.
For example, when computers have invented new factories were established, and new job-
steps have arose, also have been continuing to arise.
Finally, research and development is a kind of creating new idea which is effective for the
time period, and interesting, and helps to cover the requirements of people. For example, if
research and development becomes effective in time period that it can invent seriously very
important thing, so it gains economical efficiency. After that, step by step it helps to increase
the investments rates; by the help investment rates growth rate increases. What's more some
nations give serious importance to research and development to make their selves better and
to become more developed than other nations. Additionally, research and development which
is source of any single thing is also our expectations' source. When people firstly start to do
new thing which is never innovated or invented thing before is a kind of research and
development. Whenever people want to start to do something if they want to be successful on
their aim they always need research and development; because, without research and
development they spend more money, and their rate of make loss increases whereas there is
not to make loss. However, research and development always does not provide success, so
people or nations should consider it. Moreover, research and development is our expectation's
source because we as human did not demand something or we did not need new things the
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research and development would not have arose that's why research and development is our
expectations' source.
2. LITERATURE REVIEW
The relationship between research and development and growth rate and patent which are
main dynamics of economy are so related on each other.
According to 'Levine (1997) and Beck et al. (2001) and Wachtel, the relationship between
financial development and economic growth is related with their developments. Without
becoming research and development which provides continuity of technology financial and
economical growth automatically stops. Why? Because, technology is consists of changing
old with new one; but if you do not have research and development you cannot change, I
mean that you cannot innovate or you can not invent any kind of technological modernity.
According to 'Allen and Gale (2000) the development of technology is highly related on
accumulation of information. Why? Because, technology helps to information become wider
and larger. By the help of technology information can access to everywhere. When
information access to everywhere it helps to develop each other and this structure continues
by the help of research and development. After that this structure also helps to increase of
patent registrations.
According to Rajan and Zingales (1998) by the help of research and development industry
level data is strongly related on development. Why? Because, research and development
influences the industrial data and also industrial data influences the financial growth.
According to Beck and Levine (2002) the growth in industries depends on external finance,
because of lack of economical activity needs new sources. Why? Because, research and
development cause creating external finance for growth in industries; so, growth in industries
is results of research and development.
According to Kwan and Lai (2003) a variety- expanding growth model of effective patents
provide significant increase in research and development after that it provides welfare gains.
Research and development and growth rates affect from each other. In the United States
patent rates have extended from 1861 to 1995, the extended years are result of TRIPS
agreement. Actually, Kwan and Lai (2003) have tried to show the effect of patents have
leaded to more research and development.
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According to Levine (1997) banking sector and the extent of stock market activity are
related with future economic activity growth; so the banking sector and the extent of stock
market can growth their selves by the help of research and development. Levine and Zervos
(1998) have tried to give attention on what the future economic growth is related with. The
banking sector cannot be separated from research and development, because when time to has
come if you do not give importance on research and development you can well-developed.
According to Cetorelli and Gambera (2001) mention same discussion which is about Rajan
and Zingales with modification of that they control over role of structure of banking system
and finance system. And also, Cetorelli and Gambera (2001) have studied on external finance
growth and banking system. Research and development modifies banking the banking system
and finance to increase growth of economy.
3. MODEL SPECIFICATION
,
We will using an model where RD is the rate of research and development 1is the rate of
growth, and where 2 is the rate of patent
RDi=0+1GR +2PR
My independent variable is research and development and patent rates that affect changes
of growth rate. If research and development increases level of growth rates and level of patent
rates automatically increase. Because, increasing research and development rate means that
increasing level of technology, and also it means that financial development and also
development of welfare, technology that is the most effective thing in people's life changes
people life expectancy. For example, when people had found new devices to hunt in medieval
age their life style meaning their life expectancy changed. Additionally, research and
development changes technology this provides more financial development for people. For
example, when tractor were had invented, farmers' financial status has changed and also their
social life status has changed. So, when a person's economical status changes their welfare
changes. Besides, these invention examples are more and more that I mentioned previously.
As well as invention rates increase step by step the patent rates increase. So, we understand
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that research and development is main source of growth rate and patent rates.
I expect the signs can be positive or negative; because if research and development rates
increase growth rate and patent rate can increase, if not growth rate and patent rate can
decrease. Possibility decrease of growth rate and patent rates' coefficients are related on
research and development; I mean that research and development's coefficient is kind of
continuously increasing coefficient.
4. DESCRIPTION OF DATA
All data were downloaded from their web sites. Research and development data were
obtained from the official web portal of OECD. The data of research and development had
saved as pooled country by country on the official web site of OECD. Also this data are
2003's data on official OECD MSTI data base.
On my paper data are the pooled data series which were listed on OECD web site as
country by country. The pooled data show that what the relative difference between countries
and how the data affect each other. I wanted to resolve above pooled data series of research
and development, and growth rate, and patent rate of these countries;
MY DATAS
RD GR PR
Sweden 0.0427 0.08 0.02
Finland 0.0349 0.015 0.05
Japan 0.0315 0.025 0.17
Denmark 0.0262 0.05 0.08
U.S. 0.0259 -0.025 0.28
Germany 0.0251 0.01 0.2
Austria 0.0237 0.495 0.01
Belgium 0.0237 0.493 0.01
France 0.0215 -0.05 0.06
U.K. 0.0189 0.05 0.05
Netherlands 0.018 -0.025 0.03
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Slovenia 0.0154 0.03 0.0001
China 0.0131 0.0995 0.03
Czech Republic 0.0126 0.01 0.0014
Italy 0.0116 0.0494 0.04
Ireland 0.0112 -0.01 0.0019
Spain 0.0105 0.05 0.07
Hungary 0.0095 0.06 0.0016
Portugal 0.0079 -0.05 0.0008
Estonia 0.0077 0.0994 0.0005
Lithuania 0.0068 0.0495 0.0008
Greece 0.0061 -0.03 0.0009
Slovakia 0.0058 -0.04 0.0002
Latvia 0.0056 -0.05 0.0001
Cyprus 0.0032 0.095 0.0001
5.EMPRICAL RESULTS
BAR GRAPHS OF DATA AND SCATTER with REGRESSION GRAPHS:
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
Sweede
n
Finlan
d
Japa
n
Denmar
kU.S
.
Germ
any
Austri
a
Belgium
Franc
eU.K
.
Nether
lands
Slovenia
RD
GR
PR
8
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.08
0.1
0.12
China
Czech
Rep
ublic
Italy
Ireland
Spain
Hunga
ry
Portu
gal
Eston
ia
Lith
uania
Gre
ece
Slova
kia
Latvia
Cypru
s
RD
GR
PR
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6Series: LOG(GR)Sample 1 25Observations 17
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4 Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis
-2.901525-2.995732-0.703198-4.6051701.0990220.4384013.054361
3
2
1Jarque-BeraProbability
0.5466480.760846
0
-5 -4 -3 -2 -1
6Series: LOG(GR)Sample 1 25Observations 17
5
4 Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis
-2.901525-2.995732-0.703198-4.6051701.0990220.4384013.054361
3
2
1Jarque-BeraProbability
0.5466480.760846
0
-5 -4 -3 -2 -1
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6Series: LOG(PR)Sample 1 25Observations 25
5
4 Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis
-5.051902-4.605170-1.272966-9.2103402.589028-0.2541411.705721
3
2
1Jarque-BeraProbability
2.0140730.365300
0
* -9 -8 -7 -6 -5 -4 -3 -2 -1
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ESTIMATED REGRESSION
Dependent Variable: RDMethod: Least SquaresDate: 01/26/09 Time: 16:29Sample(adjusted): 1 25Included observations: 25 after adjusting endpoints
Variable Coefficient Std. Error t-Statistic Prob.
C 0.011880 0.002310 5.142802 0.0000GR 0.023244 0.013156 1.766791 0.0911PR 0.079108 0.025673 3.081320 0.0055
R-squared 0.333614 Mean dependent var 0.016764Adjusted R-squared 0.273034 S.D. dependent var 0.010349S.E. of regression 0.008824 Akaike info criterion -6.510627Sum squared resid 0.001713 Schwarz criterion -6.364362Log likelihood 84.38284 F-statistic 5.506961Durbin-Watson stat 0.448244 Prob(F-statistic) 0.011508
Estimation Command:
=====================
LS RD C GR PR
Estimation Equation:
=====================
RD = PR*C(1) +GR*C(1)+C(2)
Substituted Coefficients:
=====================
RD = 0.079108*PR+ 0.023244*GR+0.011880
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The equation means that; if we raise the R&D rate one unit, the growth rate will increase
0.023244units.
The equation means that; if we raise the R&D rate one unit, the patent rate will increase
0.079108units.
THEORY and R²: There is an inverse relationship
between the variables and the estimation also shows the same result. The R-squared have
better to be more than 0,8 but it is 0,33.
HYPOTHESIS TESTING
T-test
Ho: ı=0
Hı: ı0
=0.05 level of significance
degrees of freedom(d.o.f)=n-k-1=25-2-1=22
t-critical=2.074
t-statistic=1.766
Since the t-statistic is smaller than the t-critical, it falls into the shaded area, i.e, rejection
area and the null hypothesis is rejected which means that the R&D rates significantly affect.
F-TEST
Ho: ı=0
Hı: ı0
=0.05 level of significance
F-statistic=5.506
F-critical=F k(v1),n-k-1(v2)=F2,22=5,72
Since the F-statistic is smaller than the F-critical, it falls into the shaded area, i.e, rejection
area and the null hypothesis is rejected.
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If we check RRT table we can see that there is an optimal omitted variable or variables. I can assume that the patent rates are other major criteria to scale the growth rate.
F-statistic Log likelihood ratio
RAMSEY RESET TEST3.777629 Probability12.03881 Probability
0.0437840.007251
Test Equation:Dependent Variable: LOG(GR)Method: Least SquaresDate: 01/23/09 Time: 01:35Sample: 1 25Included observations: 17Excluded observations: 8
Variable Coefficient Std. Error t-Statistic Prob.
CLOG(PR)
PRFITTED^2FITTED^3FITTED^4
R-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodDurbin-Watson stat
-471.0310 196.0388 -2.402743 0.0351133.7802 53.47445 2.501760 0.0294
-10797.95 4313.635 -2.503215 0.0293331.0418 136.9769 2.416770 0.034262.47442 26.79704 2.331392 0.03984.336947 1.931102 2.245841 0.0462
0.653430 Mean dependent var -2.9015250.495899 S.D. dependent var 1.0990220.780307 Akaike info criterion 2.6123056.697662 Schwarz criterion 2.906380
-16.20459 F-statistic 4.1479281.539115 Prob(F-statistic) 0.023067
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SEMI-LOG VS. DOUBLE LOG FUNCTION
At the beginning, I took the logarithm of my independent variables, in order to see the any
change in growth rate 1% change in research&development rates and patent rates.
Dependent Variable: LOG(GR)Method: Least SquaresDate: 01/23/09 Time: 23:15Sample(adjusted): 1 25Included observations: 17Excluded observations: 8 after adjusting endpoints
Variable Coefficient Std. Error t-Statistic Prob.
C -1.444486 1.897866 -0.761110 0.4592LOG(RD) 0.245396 0.425953 0.576112 0.5737PR 10.03524 4.838739 -2.073937 0.0570
R-squared 0.242408 Mean dependent var -2.901525Adjusted R-squared 0.134180 S.D. dependent var 1.099022S.E. of regression 1.022634 Akaike info criterion 3.041425Sum squared resid 14.64091 Schwarz criterion 3.188462Log likelihood -22.85211 F-statistic 2.239797Durbin-Watson stat 2.378561 Prob(F-statistic) 0.143235
Estimation Command: ===================== LOG(GR) C LOG(RD) PR
Estimation Equation: ===================== LOG(GR) = PR(1)*LOG(RD) +PR(1) *C(1)+C(2)
Substituted Coefficients: ===================== LOG(GR) = -1.444486*LOG(RD) – 1.444486*(-10.03524)+ 0.245396
The equation means that; if we raise the research development rate one unit growth rate will
increase 0.245396 and also if patent rate raise growth rate decreases
-10.03524.
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R-SQUARED AND THEORY:
The theory has inverse relationship between the variables and estimation. The R-squared has
to be more than 0.8 but it is less than 0.8 and also it is 0.242.
HYPOTHESIS TESTING
Ho: ı=0
Hı: ı0
=0.05 level of significance
degrees of freedom(d.o.f)=n-k-1=25-2-1=22
t-critical=2.074
t-statistic=0.576
Since the t-statistic is smaller than the t-critical, it falls into the shaded area, i.e, rejection area
and the null hypothesis is rejected which means that the R&D rates significantly affect.
F-TESTHo: ı=0
Hı: ı0
=0.05 level of significance
F-statistic=2.239
F-critical=F k(v1),n-k-1(v2)=F2,22=5,72
Since the F-statistic is smaller than the F-critical, it falls into the shaded area, i.e, rejection
area and the null hypothesis is rejected.
At the analyzing the model, it is resulted that for every 1 % increase in research and
development rates and patent rates, growth rate will increase 0.245296 and 10.03524
respectively patent rates.
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MULTICOLLINEARITY
What is the collinearity? It is a linear relationship between two variables which explanatory
variables and these are collinear when there is an exact linear relationship. What is the
multicollinearity? Multicollinearity is being correlated of two or more explanatory variables
in a multiple regression model. In order to easily catch on if there is multicollinearity or if not,
we have to analyze the predictor variable because if it is added or deleted, there will be big
changes in the estimated regression coefficients. I selected better way to see the result in an
easy way, I selected to use correlation matrix.
Correlation Matrix
GR PR RD
GR1.000000 -0.179878 0.214529
PR-0.179878 1.000000
0.488940
RD 0.214529 0.488940 1.000000
According to table, there is no correlation between growth rate and research and
development rate and patent rates.
BREUSCH-GODFREY SERIAL CORRELATION LM TEST
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F-statistic
Generally the serial correlation is used in order to specify the probability is a specification
criteria for. If the p-value is smaller than 0.05, we can conclude that there is an
autocorrelation. Since my p-value is 0,862429, there is no a serial correlation in my model.
DURBIN-WATSON TEST
This is a test that explains whether the residuals from a linear regression or multiple
regression are independent. The method is this test as follows:
H 0 : = 0
H 1 : > 0
Upper and lower critical values, d U and d L have been characterized for different
values of k (the number of explanatory variables) and n.
`Godfrey Serial Correlation LM Test:
F-statistic Obs*R-squared
0.739181 0.914616
Probability Probability
0.405499 0.338893
Test Equation: Dependent Variable: RESID Method: Least Squares Date: 01/23/09 Time: 01:52 Presample and interior missing value lagged residuals set to zero.
Variable
C LOG(PR)
PR RESID(-1)
R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat
Coefficient
-0.000680 0.005250 1.088086 0.290957
0.053801 -0.164553 0.994849 12.86643
-21.75392 2.797529
Std. Error
0.944944 0.147805 6.293602 0.338418
t-Statistic
-0.000720 0.035520 0.172888 0.859756
Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion F-statistic Prob(F-statistic)
Prob.
0.9994 0.9722 0.8654 0.4055
7.38E-16 0.921887 3.029873 3.225923 0.246394
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If d < d L reject H0
If d > d U do not reject H0
If d L < d < d U test is inconclusive.
=5% level of significance
N=25
k=3
After looking at the critical values of Durbin-Watson statistic, I found that d L as 1,12 and
dU as 1,66. My Durbin-Watson statistic is 2,797529 and thus I can say that H 0 is not rejected
since d U <d.( The errors are not positively autocorrelated.)
5-CONCLUSION
In conclusion, time is using research and development, without research and development
any kind of growth cannot be considered; so we all as nations should never forget the real
place of research and development in our life. Research and development are sources of easy
ways in people's life. When people have considered doing their work easily, and efficiently,
and fast research and development have been main point of them.
This paper describes that how the research and development and patent rates affect the
growth rate of country. Also I reached to my aim. After all the research I conclude my work
paper works on my model.
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