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Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17 th Annual African Economic Conference, Abuja 1

Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

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Page 1: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Cluster-based Agricultural Transformation

Xiaobo Zhang

Peking University and IFPRI

December 7, 2016

17th Annual African Economic Conference, Abuja

1

Page 2: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Outline

• Since the conference theme is “Agro-Allied

Industrialization for Inclusive Growth,” I will

use two case studies to highlight some

Chinese experiences related to:

– Mechanization

– Specialization

2

Page 3: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Conditions of China’s Agricultural Production

• Extreme small farm size: about 0.5 hectare ≈ a football

field (150 hectares in the US; 1.6 in Ghana; 2.25 in

Nigeria).

3

Page 4: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Conditions of China’s Agricultural Production

• High degree of land fragmentation: 6 plots

(often not adjacent) per farm.

• Real wages have grown at an annual rate

of more than 10% since 2004.

4

Page 5: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

China: some facts

• Water availability: ≈ 5% of world total

• Arable land: ≈ 8% of world total

• Population: 1.375 billion

≈ 20% world population

Page 6: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Economists’ Thinking

• Treating farm household as a production unit:

– Output is a function of land, labor, and other input.

Given constant (or even decreasing) returns to scale,

the small farm size will be extremely inefficient.

• The conventional thinking is to increase farm

size (therefore the scale of production).

– Developing land rental markets;

– Increasing mechanization

6

Page 7: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Ruttan on Mechanization

• “The seasonal characteristic of agricultural production requires a series of specialized machines --- for land preparation, planting, pest and pathogen control, and harvesting ---specially designed for sequential operations, each of which is carried out only for a few days or weeks in each season. This also means that it is no more feasible for workers to specialize in one operation in mechanized agriculture than in premechanized agriculture.” (page 190, Ruttan, 2001).

7

Page 8: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Pinglai’s View

• Prof. Pingali has written a very thoughtful and widely cited review article in the Handbook of Agricultural Economics (2007).

• He holds a similar pessimistic view on rice mechanization in Southeast Asian countries (page 2790):

– “In the absence of land consolidation and the re-design of the rice land to form large contiguous fields, the prospects for large-scale adoption of the harvester-combines are limited.”

8

Page 9: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Will China Follow Japan’s Agricultural

Development Model? (Otsuka)

• Japan: overly protected agricultural/rural sector.

• Due to small farm size, agricultural productivity

is much lower than the US and domestic food

price is several times of the international level.

• Given China’s similar natural endowment and

rising wages, China’s agricultural production is

likely to repeat Japan’s path.

9

Page 10: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

10

Changes in the Grain Self-Sufficiency Ratio in

Japan, Korea, and Taiwan

Page 11: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

11

China’s problem could be potentially more serious

• Due to the absence of private ownership rights on land, land transactions cannot be made and land rental transactions are not as active as they should be.

• Due to the extremely small farm size, an average farmer has to rent in land from at least 16 other farmers to accumulate 10 hectares. It will be prohibitively costly to do so and, even if successful, a “large farm” may not be very efficient to support mechanization due to the dispersion of plots.

• The Chinese government began supporting agriculture massively, which reduces the pace of outmigration.

----Kejiro Otsuka (President Address in ICAE, 2012)

Page 12: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Yet, China’s Agriculture has performed quite

well

• Yields (tons per hectare) went up from about 2.5 in 1978 to 4.3 in 2000 to 5.3 in 2012 (China Statistical Yearbook 2013, NBS).

• According to Jin, Huang and Rozelle (2009), the TFP for staples has grown at an annual rate of more than 2% since 1978; the annual growth rate of TFP for horticulture and livestock lies between 3% and 5%.

• Food self-sufficiency: ≈ 96% in 2014

12

Page 13: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

0

50

100

150

200

250

300

Bas

e Y

ea

r 1

96

1=

10

0

Agricultural Total Factor Productivity (TFP) in China, India and Indonesia,

1961-2009

China India Indonesia

Data Source: Fuglie’s Worksheet 2011

Page 14: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Rural population under poverty in China

0

50

100

150

200

250

1978

1982

1985

1988

1991

1995

1999

2002

2005

2008

2011

2014

Rural population under poverty (million)

National Poverty line 1: 100 Y/yr

National Poverty line 2:

1196 Y/yr

National Poverty line 3:

2300 Y/yr

0

5

10

15

20

25

30

1978

1982

1985

1988

1991

1995

1999

2002

2005

2008

2011

2014

Rural population under poverty (%)

National Poverty line 1 (%)

National Poverty

line 2 (%)

National Poverty

line 3 (%)

Page 15: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Rural household per capita income (2014 constant

price)

0

2000

4000

6000

8000

10000

1978 1983 1988 1993 1998 2003 2008 2013

Sources of farmers’ income (%)

0

10

20

30

40

50

60

70

80

90

1980 1985 1990 1995 2000 2005 2010 2015

Farming Non-farming

Page 16: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

How to Reconcile the

Conundrum?

16

Page 17: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Paper presented at the

AEA meetings, Seattle,

August 12-14, 2012

17

May, 2009, Sichuan Province

Page 18: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Distance from Peixian to Zizhong County: 1,079

miles (twice the distance between Accra and

Abuja)

18

Peixian

Zhizhong county

Page 19: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

A Rice Harvesting Route

19

From the mid July to the end of November:Hunan →Hubei → Sichuan→ Shannxi→Jiangsu → Shanghai→Inner Mongolia → Northeastern provinces→Jiangsu→Guangdong→Guangxi

Page 20: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

A Wheat Harvesting Route

20

Early April to early July:Sichuan→Shannxi → Hunan→ Hubei→ Jiangsu→ Shandong→ Tianjin

Page 21: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

21

Page 22: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

22

Page 23: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Answers to the Conundrum

• Agricultural production is divisible.

• Some steps of production, such as ploughing and harvesting, can be outsourced to others.

• Even in the US, migratory harvesting and pollination service are popular. – Steven Chang “The Fable of Bees: An Economics

Investigation” JLE (1973)

– Muth, Mary K., Randal R. Ruckers, Walker N. Thurman, and Ching-Ta Chuang. “The Fable of Bees Revisited: Causes and Consequences of the U.S. Honey Program.” JLE (2003).

– Nordhaus “The Beekeeper’s Lament”

23

Page 24: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Conditions for Outsourcing

• Market size: The division of labor is limited by the extent of the market (Stigler, JPE 1951).

• Machinery cost: combines are much more expensive than attached disc ploughs.

• Asset specificity: tractors have multi-functionality, while combines don’t have.

• High labor cost.

24

Page 25: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Rice Production Steps

Economics text book: Cobb-Douglas or CES production function

Labor+capital+land+other inputs → Rice

Traditional rice production:

Land preparation → planting → weeding → irrigation (draft animals or labor) (labor) (labor) (pumps or rain-fed)

→harvesting → threshing → drying(labor) (labor, animal, or threshers) (labor)

Current practice in China:

Land preparation→ planting → weeding → irrigation →harvesting+threshing(Tractors) (most by hand) (herbside+labor) (pumps) (combine harvester)

25

Page 26: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Rice Harvesting: National

Market• Rice is planted in many parts of China,

mostly in flat areas. Thereby migratory labor-

cum-machine service providers can travel up

to 8 months to recoup the high cost of

combines, which have no other uses.

• In a small country, such as Japan, migratory

harvesting is not feasible because of low

regional variations in seasons.

26

Page 27: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Division of Labor in Agricultural

Production

27

Autarky

Hire labor-cum-machine services

AC

C1

C2 C2

C2 C1‘‘

AC‘‘

P

P

Q

Q

Hire labor

AC‘

C1‘

C2

Q

P

Own machinery

C1‘‘

AC‘‘

P

Q

C2:Average cost of non-harvesting stepsC1:Average cost of harvesting

Adapted from Stilger (1951 JPE paper)

Page 28: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Use of Mechanization in Rice Production

28

Based on authors’ complementary survey attached to RCRE survey in 2013.

Using machinery Hiring mechanization service

2012

Plough 0.94 0.77

Plant 0.11 0.82

Harvest 0.77 0.97

2008

Plough 0.91 0.75

Plant 0.08 0.76

Harvest 0.60 0.96

Page 29: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Ploughing market is mostly local because the ploughs

attached to tractors are much cheaper and tractors can be

used for other purposes in the slack seasons.

29

Page 30: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Agricultural Output and Input

30

2004 2005 2006 2007 2008 Growth rate (%)

Grain output value per household($) 455.34 423.73 435.88 501.73 531.94 16.82

Land size(hectares) 0.53 0.53 0.51 0.53 0.54 0.92

Labor input per hectare(days) 213.45 210.00 206.40 201.30 189.45 -11.24

Machinery fee per hectare($) 45.69 52.40 58.51 68.43 75.79 65.89

Seed fee per hectare($) 32.18 34.45 36.18 38.67 41.22 28.11

Fertilizer fee per hectare($) 109.68 119.59 122.67 131.13 154.44 40.81

Pesticide fee per hectare($) 22.47 26.24 26.52 29.75 31.00 37.94

Irrigation fee per hectare($) 31.18 30.91 34.81 35.22 34.19 9.64

Data: RCRE 2004-2008Constant US dollars in 2004 price

Page 31: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Machinery Power and Draft Animal

31

20

25

30

35

40

45

50

55

60

65

1 500

2 500

3 500

4 500

5 500

6 500

7 500

8 500

9 500

10 500

Page 32: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Number of Agricultural Labor

and Machinery Power

32

0

2 000

4 000

6 000

8 000

10 000

12 000

25 000

27 000

29 000

31 000

33 000

35 000

37 000

39 000

41 000

19

78

19

79

19

80

19

81

19

82

19

83

19

84

19

85

19

86

19

87

19

88

19

89

19

90

19

91

19

92

19

93

19

94

19

95

19

96

19

97

19

98

19

99

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

China passed the Lewis turning point in 2003/2014:

Real wages have increased by more than 10% per year since then.

Page 33: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Small and Big Tractors

33

0

1

2

3

4

5

6

0

2

4

6

8

10

12

14

16

18

20

19

78

19

79

19

80

19

81

19

82

19

83

19

84

19

85

19

86

19

87

19

88

19

89

19

90

19

91

19

92

19

93

19

94

19

95

19

96

19

97

19

98

19

99

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

Millions

Small tractors

Big tractors

Lewis turning point

Page 34: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Cross-Regional Mechanization Harvest Service

• Often clustered;

• 3-4 operators per team; Traveling in flocks

(average 10 trucks) with combines on the

top;

• Chasing production seasons for up to 8

months (average half year);

• Charging fee only half of the cost of hiring

labors (about US$200 per hectare).

34

Page 35: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Peixian Harvesting Service Cluster

• 36 rural mechanization cooperatives;

• 2,100 combine harvesters (mainly for

wheat and rice);

• 1,100 are engaged in cross-province

harvest service.

• Cross-regional harvest service started in

1998 with 50 combines largely supported

by the county agricultural mechanization

bureau. 35

Page 36: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

The Scale Economy of Cross-

Regional Mechanization Service

36

5010

015

020

025

030

0

cost

per

hec

tare

(dol

lar)

100 200 300 400 500the area of across-mechanization(hactare)

Page 37: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Advantage of Traveling in Groups

• Better coping with harassment and

extortions from local gangs;

• Greater bargaining power with local

agents thanks to large scale of harvesting;

• Pooling spare parts for repairing (even

bringing a service truck);

• Sharing the search cost (like scout bees)

37

Page 38: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Income and Cost Per Team

38

About six times of rural per capita income in Jiangsu Province.

Variable Median

1. Net income ($) 14,285.71

2. Total costs ($) 22,539.68

a) Repair and maintenance 3,174.60

b) Employee wages 7,936.51

c) Telephone 317.46

d) Food/lodging while traveling 4,761.90

e) Gasoline/diesel 6,349.21

3. Area served (hectares) 133.33

4.Days working away from home 179.00

Page 39: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Role of Government

• Central level:

– Machinery purchase subsidy;

– Waive highway tolls.

• Local level:

– Distributing harvest calendars;

– Training, inspection;

– Conflict resolution for those on the road;

– Setting up cell phone group message platform

39

Page 40: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Conclusions and Implications

• Lack of production scale has been regarded

as a major constraints of smallholder farmers

in developing countries.

• We show that agricultural production is

divisible and some steps of production can be

sourced to specialized service providers

which run at a much larger scale.

40

Page 41: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Implications

• Collier and Dercon (2009) argue that African agriculture's future lies in large farms because smallholder farmers lack sale of production.

• Peter Hazell holds an opposite view: Smallholders are more efficient due to advantage in incentive and information.

• Is there a future for smallholder farmers in Africa?

41

Page 42: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

42

Teff threshing in Ethiopia

Page 43: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

43

Migratory plowing service:

The driver drives tractors for three months

and combines for three months.

Page 44: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

44

Second ploughing after mechanized ploughing in

Ethiopia

Increase the sown area, which in turn drives up

demand for agricultural labor

Remedy the absence problem during harvest time in

the manufacturing sector

Page 45: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

45

Page 46: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

46

Ghana, 2011

60 Cides (0.3 US dollars per bag) *100=$30 per day for 15 days.

Due to labor shortage, seeds are broadcasted

Page 47: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

47

winnowing rice in Myanmar

Page 48: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

48

Rice harvesting in Myanmar, March 2015

Daily wage has increased from $3/day in 2014 to $4 in 2015

Page 49: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Specialization:

Anding Potato Cluster • Anding of Gansu Province used to be one of the

poorest places in China (poverty rate 78% in 1980) and didn’t produce potato until 1960s.

• Now it has become one of the three largest potato production centers in China.

• Potato accounts for two-thirds of the cropping area; Anding provides every Chinese with one kg potato per year. Farmers generate about 60% of their income from potatoes.

49

Page 50: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Major Potato Production Centers in China

Anding potato cluster

Zhang and Hu, 2015, World Development 50

Page 51: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Improve Land Quality

From the 1950s to 1990s, the government made great efforts to build terrace fields

and irrigation facilities at the river basin level. Of the land compatible to terracing,

93.7% of it has been converted into terrace.51

Page 52: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Adopt Potato Production•Potato is more suitable to the dry environment than wheat. Anding

receives only 380mm rainfall per year, compared to 1389mm in Abuja,

809mm in Accra, and 980mm in Kano (capital of Niger).

•Potato was introduced in the 1960s as a secondary crop for coping

with food shortage. However, wheat is much more appealing than

potato in the Chinese diet. In addition, government had guaranteed

procurement price for wheat but not potato.

•The local government first asked village cadres to set up

demonstration fields on their own land. It took years to scale up potato

production as seen below.

52

Page 53: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Breed Better Varieties• Gansu Academy of Agricultural Science bred a high yield variety for

starch processing (high starch and low sugar contents).

• County agricultural extension station and a farmer accidently bred

Xiadaping, the most popular vegetable potato; the “Atlantic” was

imported from the US for chips and French fries.

• The county set up a breeding center to produce toxin-free potato

seeds. Anding is one of the largest potato breeding centers in China.

53

Page 54: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Price Shocks and Shift in Government

Policy

0,00

0,20

0,40

0,60

0,80

1,00

1,20

0

100

200

300

400

500

600

700

800

900

1000

1996 1998 2000 2002 2004 2006 2008 2010

Cro

pp

ing

are

a (

millio

n m

u)

Pri

ce (

Yu

an

/to

n)

Cropping area

Price

Shift in government policies from stimulating supply to expanding market54

Page 55: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Market Equilibrium in the

Supply/Demand Expansion Phases

55

Page 56: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Expand the Market

• Establish trader and producer associations.

• Update market information systems.

• Set up a new system of local wholesale markets.

• Apply for more freight car quotas.

• Subsidize farmers to build storages.

56

Page 57: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Acquire and Spread Market Information

• The potato association sends informants to live in major wholesale markets nationwide to collect market information.

• The county broadcasts the information in local media (radio, TV, and newspapers) and on large monitors in major gathering places (central squares, railway and bus stations).

• Greater market transparency makes it harder for traders to cheat farmers.

57

Page 58: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

The Spatial Distribution of Markets Over Time

☆: Wholesale market

○: Village collection point

Blue: Built 1996-2000

Red: Built 2001-2005

Yellow: Built 2006-2010

58

Page 59: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Overcome Transportation Bottleneck

• Lobby for more freight car quotas (up from 1507

in 2003, to 3605 in 2004, and 6145 in 2009).

Transportation cost to Shanghai:

By car: 450 yuan/ton

By train: 225 yuan/ton

Anding to Guangzhou:

Anding, China: potato train

59

Page 60: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Build More Storages (55% of annual output)

Farmer’s storage: 0.36 million tons

More than 2 storages per

household

Small natural ventilation storages:

0.185 million tons

Centrally air conditioned: 10000 ton each Natural ventilation storages: Medium size

200 Yuan

Subsidy/storage

60

Page 61: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Develop the Processing Sector

• Local government intensified their effort to

attract investors:

– Provide free land

– Help secure subsidized bank loans

– Guarantee stable potato supply

• The number of processing plants increased from

0 in 2003, 2 in 2004, to 12 in 2009. Now it can

process about 1/3 of total output.

61

Page 62: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Develop the Processing Sector

• In 2004, the first two plants produced only starch.

• Quickly, the product lines have become more diversified:

– Modified starch for industry use

– Frozen French fries for fast food chains

– Potato chips

– Potato flour

– Even export to the Middle East and Southeast Asia.

62

Page 63: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Role of Local Government

• Developing clusters is a continuous process with constantly involving in overcoming constraints.

• The one-size-fits-all type interventions may work for once, but not all the time.

• After a policy helps remove one binding constraint, another emerges, that in turn, requires a new set of local policies.

• Continuous tinkering is often required.

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Role of Local Government

• Most clusters are at the local level. Their

development involves constantly tinkering with

various bottlenecks.

• It is important to put local governments on the

driver’s seat considering their informational

advantage.

• A question arises: how to align local governments’

interest with local economic development?

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Page 65: Cluster-based Agricultural Transformation · Cluster-based Agricultural Transformation Xiaobo Zhang Peking University and IFPRI December 7, 2016 17th Annual African Economic Conference,

Role of Local Government

• In China, local governments have strong

embedded interests in promoting

cluster/industrial park development:

– Fiscal competition among local governments

– Career competition among local officials

• More research is needed to understand the

incentive structures of local governments in

other developing countries.

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66

My presentation is mainly based on the following two publications:

“The Rapid Rise of Cross-Regional Agricultural Mechanization Services in China,”

(Jin Yang, Zuhui Huang, Xiaobo Zhang, and Thomas Reardon),

American Journal of Agricultural Economics (Paper and Proceedings), 1-7, 2013.

“Overcoming Successive Bottlenecks: The Evolution of a Potato Cluster in China,”

(Xiaobo Zhang and Dinghuan Hu)

World Development, 63: 102-112, 2014.