Agricultural Policy, Climate Factors and Grain Output: Evidence From Household Survey Data in Rural China

doi:10.1016/S2095-3119(13)60217-8

Journal of Integrative Agriculture ›› 2013, Vol. 12 ›› Issue (1): 169-183.DOI: 10.1016/S2095-3119(13)60217-8

Agricultural Policy, Climate Factors and Grain Output: Evidence From Household Survey Data in Rural China

CHEN Yong-fu, WU Zhi-gang, ZHU Tie-hui, YANG Lei, MA Guo-ying, Chien Hsiao-ping

1.College of Economics and Management, China Agricultural University, Beijing 100083, P.R.China
2.Research Center for Rural Economy, Ministry of Agriculture, Beijing 100810, P.R.China
3.School of Management, Tianjin University, Tianjin 300072, P.R.China
4.Japan International Research Center for Agricultural Sciences, Tsukuba 305-8686, Japan

收稿日期:2011-11-24 出版日期:2013-01-01 发布日期:2013-01-24
通讯作者: Correspondence CHEN Yong-fu, Tel: +86-10-62736932, Fax: +86-10-62736932, E-mail: chenyf39@gmail.com
基金资助:
This research was supported by Japan International Research Center for Agricultural Sciences.

Agricultural Policy, Climate Factors and Grain Output: Evidence From Household Survey Data in Rural China

CHEN Yong-fu, WU Zhi-gang, ZHU Tie-hui, YANG Lei, MA Guo-ying, Chien Hsiao-ping

1.College of Economics and Management, China Agricultural University, Beijing 100083, P.R.China
2.Research Center for Rural Economy, Ministry of Agriculture, Beijing 100810, P.R.China
3.School of Management, Tianjin University, Tianjin 300072, P.R.China
4.Japan International Research Center for Agricultural Sciences, Tsukuba 305-8686, Japan

Received:2011-11-24 Online:2013-01-01 Published:2013-01-24
Contact: Correspondence CHEN Yong-fu, Tel: +86-10-62736932, Fax: +86-10-62736932, E-mail: chenyf39@gmail.com
Supported by:
This research was supported by Japan International Research Center for Agricultural Sciences.

摘要/Abstract

摘要： This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivity (TFP) growth at the farmer level. The empirical results show that the major contributor to the grain output growth for farmers is input growth and that its average contribution accounts for 60.92% of farmer’s grain production growth in the period of 2006-2009, whereas the average contributions sourced from TFP growth and residuals are only 17.30 and 21.78%, respectively. The growth of intermediate inputs is a top contributor with an average contribution of 44.46%, followed by the planted area (18.16%), investment in fixed assets (1.05%), and labor input (-2.75%), indicating that the contribution from the farmer’s input growth is mainly due to the growth of intermediate inputs and that the decline in labor inputs has become an obstacle for farmers in seeking grain output growth. Among the elements consisting of TFP growth, the contribution of technical progress is the largest (32.04%), followed by grain subsidies (8.55%), the average monthly temperature (4.26%), the average monthly precipitation (-0.88%), the adjusted scale effect (-5.66%), and growth in technical efficiency (-21.01%). In general, the contribution of climate factors and agricultural policy factor are positive and significant.

关键词: decomposition of grain output growth , total factor productivity (TFP) , stochastic frontier production function , Chinese farmer households

Abstract: This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivity (TFP) growth at the farmer level. The empirical results show that the major contributor to the grain output growth for farmers is input growth and that its average contribution accounts for 60.92% of farmer’s grain production growth in the period of 2006-2009, whereas the average contributions sourced from TFP growth and residuals are only 17.30 and 21.78%, respectively. The growth of intermediate inputs is a top contributor with an average contribution of 44.46%, followed by the planted area (18.16%), investment in fixed assets (1.05%), and labor input (-2.75%), indicating that the contribution from the farmer’s input growth is mainly due to the growth of intermediate inputs and that the decline in labor inputs has become an obstacle for farmers in seeking grain output growth. Among the elements consisting of TFP growth, the contribution of technical progress is the largest (32.04%), followed by grain subsidies (8.55%), the average monthly temperature (4.26%), the average monthly precipitation (-0.88%), the adjusted scale effect (-5.66%), and growth in technical efficiency (-21.01%). In general, the contribution of climate factors and agricultural policy factor are positive and significant.

Key words: decomposition of grain output growth , total factor productivity (TFP) , stochastic frontier production function , Chinese farmer households

CHEN Yong-fu, WU Zhi-gang, ZHU Tie-hui, YANG Lei, MA Guo-ying, Chien Hsiao-ping. Agricultural Policy, Climate Factors and Grain Output: Evidence From Household Survey Data in Rural China[J]. Journal of Integrative Agriculture, 2013, 12(1): 169-183.

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Agricultural Policy, Climate Factors and Grain Output: Evidence From Household Survey Data in Rural China

Agricultural Policy, Climate Factors and Grain Output: Evidence From Household Survey Data in Rural China

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