mozambique promoting rural development for inclusive growth
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MOZAMBIQUE Promoting Rural Development for Inclusive Growth -- Could China’s Experiences Be Relevant? Guo Li The World Bank, Pretoria Office Growth Seminar , Maputo February 9 -11, 2011. Mozambique Growth Seminar: China Rural Development. Brief introduction - PowerPoint PPT PresentationTRANSCRIPT
MOZAMBIQUEPromoting Rural Development for Inclusive Growth
-- Could Chinas Experiences Be Relevant?
Guo LiThe World Bank, Pretoria Office
Growth Seminar , MaputoFebruary 9 -11, 2011
*
Brief introduction
Important Aspects of a Rural Development Strategy and Recent Findings on African Agriculture
Chinas Experiences in the Past Three Decades
Conclusions
*Mozambique Growth Seminar: China Rural Development
Why rural and agricultural development is important?
Supplying labour to the rest of economy;Producing low cost food to keep wages down for workers in the industrial sector;Producing fibre and other crops for production in other parts of the economy;Supplying commodities that can be exported and earn foreign exchange;Raising rural incomes Therefore, rural and agricultural development is a strong option for poverty reduction, enhancing food security, and stimulating growth in other parts of the economy.
*Mozambique Growth Seminar: China Rural Development
*Mozambique Growth Seminar: China Rural DevelopmentRelationship between agricultural and economic growths in 93 developing countries, 1980-1998 (Huang et al., 2002)
Chart1
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-6.9
-8.5
-14.1
-7
-6.1
-3.3
1
-2.5
-1
-2.1
-0.4
-0.2
-3.3
5.4
-10.5
-3.2
-1.9
4.5
-5.2
-7.3
0.6
-0.6
4.8
-10.3
2.1
2
4.1
2.2
5.3
2.5
3
-4.7
1.3
3.3
5.3
4.8
1
4.2
4.4
4.3
-0.1
0.1
7.7
1.9
4.2
5.5
0.1
4.8
3.5
1.2
1.6
2.9
3.7
4.2
4.9
5.8
-5.1
2.6
2.8
3.5
4.2
3.3
7.4
7.7
3.6
3.7
2
3.5
6.1
1.5
5.5
7.4
2.9
4.1
5.7
3.8
11.1
5
2.3
6.7
4
5.7
0.6
4.2
8.6
4.6
7.9
5.9
7.2
3.9
Agricultural GDP growth rate (%)
GDP growth rate (%)
Sheet1
PopulationGNP per capitaGDP
millionU$average increase per yearGDP
Country(District)199819981980-901990-981980-901990-981980-901990-981998gdpgdp%agrind
65Kuwait21.314.710000
83Myanmar440.66.30.550.510.15906.3510.1
88Nicaragua5-24.1-5.88.72.1-4.83404.18.7-4.8
103Saudi Arabia211.613.40.7-2.31.5601.60.71.5
121Turkmenistan5-9.60-9.600
41Ethiopia611001.14.90.22.80.46.51004.92.86.5
28Congo, Dem. Rep481101.6-5.12.52.90.9-11.758110-5.12.9-11.7
18Burundi71404.4-3.23.1-2.44.5-7.849140-3.2-2.4-7.8
105Sierra Leone51400.3-4.73.11.51.7-7.844140-4.71.5-7.8
89Niger10190-0.11.91.72.2-1.71.7411901.92.21.7
39Eritrea42005.292005.200
74Malawi112002.53.928.92.91.3392003.98.91.3
82Mozambique17210-0.15.76.64.8-4.58.5342105.74.88.5
85Nepal232104.64.842.38.77.3402104.82.37.3
116Tanzania322102.93.71.8462102.93.71.8
23Chad72303.74.62.35.48.10392304.65.40
102Rwanda82302.2-3.30.5-5.22.5-0.634230-3.3-5.2-0.6
17Burkina Faso112403.63.53.13.43.83.1322403.53.43.1
76Mali112500.93.73.33.34.37.6452503.73.37.6
73Madagascar152601.11.32.51.50.91.5312601.31.51.5
19Cambodia112805.52.210.7512805.52.210.7
22Central African Republic33001.41.51.63.51.40.2553001.53.50.2
90Nigeria1213001.62.63.32.9-1.11.2323002.62.91.2
130Yemen, Rep.163003.84.36.4183003.84.36.4
122Uganda213203.27.42.13.6513.3433207.43.613.3
63Kenya293304.22.23.31.23.92293302.21.22
67Lao PDR53306.73.44.56.111.9523306.74.511.9
118Togo43301.72.35.64.51.12.6423302.34.52.6
129Vietnam783304.68.64.35.113.3263308.65.113.3
131Zambia10330113.6-4.90.8-4.7163301-4.9-4.7
3Angola123403.7-0.40.5-4.36.43.614340-0.4-4.33.6
9The Bangladesh1263504.34.82.71.54.97233504.81.57
66Kyrgyz Republic5350-7.3-1.2-1246350-7.3-1.2-12
115Tajikistan6350-16.4350-16.400
12Benin63802.94.65.55.234393804.65.24
46Ghana1839034.212.83.34.4373904.22.84.4
80Mongolia34005.40.11.41.96.7-2334000.11.9-2
50Haiti8410-0.2-2.5-0.1-4.9-1.7-2.731410-2.5-4.9-2.7
77Mauritania34101.84.21.754.93.4244104.253.4
79Moldova44103-14.1-7.1-1331410-14.1-7.1-13
53India9804305.86.13.13.476.7254306.13.46.7
5Armenia4480-10.30.2-18.141480-10.30.2-18.1
92Pakistan1324806.34.14.33.87.35254804.13.85
8Azerbaijan8490-10.5-2.74.219490-10.5-2.74.2
104Senegal95303.132.81.44.341753031.44
49Guinea754054.41.62254054.41.6
70Lesotho25704.47.22.267.19.2115707.269.2
20Cameroon.146103.40.62.155.9-3.3426100.65-3.3
132Zimbabwe126103.623.13.43.2-11861023.4-1
54Indonesia2046806.15.83.42.86.99.9166805.82.89.9
29Congo, Rep36903.313.41.65.20.21269011.60.2
31Cte d'Ivoire147000.73.50.32.44.45.1257003.52.45.1
51Honduras67302.73.62.73.23.33.8237303.63.23.8
25China123975010.211.15.94.311.115.41875011.14.315.4
1Albania38101.51.81.98.12.1-9.7638101.88.1-9.7
111Sri Lanka1981045.32.21.54.66.5228105.31.56.5
123Ukraine50850-13.1-21.4-16.412850-13.1-21.4-16.4
127Uzbekistan24870-1.9-1.6-528870-1.9-1.6-5
94Papua New Guinea58901.95.71.84.11.98.9288905.74.18.9
44Georgia59300.4-16.332930-16.300
13Bolivia81000-0.24.21610004.200
114Syrian Arab Republic1510201.55.9-0.66.610205.900
97Philippines75105013.311.5-0.93.61710503.31.53.6
16Bulgaria812303.4-3.3-2.1-3.15.2-5.5231230-3.3-3.1-5.5
81Morocco2812504.22.16.70.333.21612502.10.33.2
37Egypt, Arab Rep.6112905.44.22.72.95.24.21712904.22.94.2
72Macedonia, FYR21290-0.11.9-4.6121290-0.11.9-4.6
62Kazakhstan161310-6.9-12.7-10.2101310-6.9-12.7-10.2
100Romania2213900.5-0.6-0.2-0.8151390-0.6-0.2-0.8
61Jordan515202.55.46.8-3.11.76.8315205.4-3.16.8
36Ecuador12153022.94.42.71.23.71215302.92.73.7
2Algeria3015502.71.24.62.62.3-21215501.22.6-2
48Guatemala1116400.84.21.22.2-0.24.32116404.22.24.3
59Jamaica3168020.10.62.32.4-0.4716800.12.3-0.4
95Paraguay517602.52.83.62.90.33.12517602.82.93.1
35Dominican Republic817703.15.50.43.63.66.11217705.53.66.1
55Iran, Islamic Rep.6217701.744.54.83.33.8177044.83.8
38El Salvador618500.25.3-1.11.30.15.41318505.31.35.4
84Namibia219400.93.51.82.9-1.23.31019403.52.93.3
119Tunisia920503.34.42.81.73.14.51420504.41.74.5
10Belarus102200-6.1-5.9-7.8142200-6.1-5.9-7.8
117Thailand6122007.67.43.93.19.891122007.43.19
101Russian Federation1472300-7-6.9-8.192300-7-6.9-8.1
68Latvia224303.5-8.52.3-10.84.3-15.972430-8.5-10.8-15.9
71Lithuania42440-5.2-1.4-10.1142440-5.2-1.4-10.1
96Peru252460-0.35.92.75.5-0.97.1724605.95.57.1
27Colombia4126003.64.22.91.652.91326004.21.62.9
30Costa Rica4278033.73.12.82.83.31427803.72.83.3
109South Africa4128801.21.62.92.700.9428801.62.70.9
93Panama330800.54.32.51.7-1.36.3730804.31.76.3
120Turkey6331605.44.11.31.17.851531604.11.15
40Estonia133902.2-2.1-4.3-5.953390-2.1-4.3-5.9
128Venezuela, RB2335001.1231.11.63.54350021.13.5
69Lebanon435607.73.22.11235607.73.22.1
14Botswana2360010.34.83.30.110.23.1436004.80.13.1
75Malaysia2236005.37.73.827.210.81236007.7210.8
107Slovak Republic5370020.61.6-0.42-6.5537000.6-0.4-6.5
98Poland3939001.84.5-0.7-1.6-1.34.7439004.5-1.64.7
78Mexico9639700.72.50.81.41.13.2539702.51.43.2
52Hungary1045101.3-0.21.7-3.80.21.164510-0.2-3.81.1
32Croatia54520-1-4.4-8.24520-1-4.4-8.2
15Brazil16645702.73.32.83.123.2845703.33.13.2
24Chile1548104.27.95.95.23.56.8848107.95.26.8
33Czech Republic1050401.7-0.250400
126Uruguay361800.43.904.2-0.21.2861808
64Korea, Rep.4679709.46.22.82.112.17.5679706
4Argentina368970-0.45.30.72.1-1.34.6789707
108Slovenia297601.40.20.8597605
99Portugal10106903.12.3-0.40.5106900
47Greece11116501.82-0.121.3-0.5116500
110Spain391408031.9-2.5-0.43140803
87New Zealand4147001.83.23.82.21.13.7147000
57Israel6159403.55.4159400
56Ireland4183403.27.5183400
21Canada31200203.33.21.21.23.11.8200200
58Italy58202502.41.20.11.320.83202503
6Australia19203003.43.63.31.12.92.53203003
124United Kingdom59214003.22.22214002
26Hong Kong, China7236706.94.40236700
42Finland5241103.32-0.20.23.32.14241104
86Netherlands16247602.32.63.43.71.61.2247600
43France59249402.31.520.41.10.12249402
11Belgium102538021.621.62.20.71253801
112Sweden9256202.31.21.5-1.92.8-0.7256200
45Germany82258502.21.61.70.81.21258501
7Austria8268502.221.1-0.71.91.31268501
125United States2702934032.924.32293402
106Singapore3300606.68-6.22.15.48.80300600
60Japan1263238041.31.3-24.20.2323800
34Denmark5332602.32.83.11.72.91.9332600
91Norway4343302.83.9-0.24.53.35.62343302
113Switzerland74008020.4400800
The World589748903.22.42.71.22.15
Low-income Countries35155206.67.34.13.57.81121
Medium-income Countries149629502.61.92.6-0.22.51.69
Medium and Low-income countries501112503.53.33.41.73.74.212
High-income countries885255103.12.10.31.52
Sheet3
93 countries
US$/personAgr%gdpAgrGDP%GDPAgrind
15203
28804850-21.4-13.1-21.4-16.4
350041310-12.7-6.9-12.7-10.2
360042430-10.8-8.5-10.8-15.9
39004410-7.1-14.1-7.1-13
339052300-6.9-7-6.9-8.1
370052200-5.9-6.1-5.9-7.8
39705230-5.2-3.3-5.2-0.6
45106330-4.91-4.9-4.7
16807410-4.9-2.5-4.9-2.7
243074520-4.4-1-4.4-8.2
246073390-4.3-2.1-4.3-5.9
30807340-4.3-0.4-4.33.6
457084510-3.8-0.2-3.81.1
481081230-3.1-3.3-3.1-5.5
20091520-3.15.4-3.16.8
23009490-2.7-10.