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

被引:18
|
作者
Chen Yong-fu [1 ]
Wu Zhi-gang [2 ]
Zhu Tie-hui [3 ]
Yang Lei [1 ]
Ma Guo-ying [1 ]
Chien Hsiao-ping [4 ]
机构
[1] China Agr Univ, Coll Econ & Management, Beijing 100083, Peoples R China
[2] Minist Agr, Res Ctr Rural Econ, Beijing 100810, Peoples R China
[3] Tianjin Univ, Sch Management, Tianjin 300072, Peoples R China
[4] Japan Int Res Ctr Agr Sci, Tsukuba, Ibaraki 3058686, Japan
关键词
decomposition of grain output growth; total factor productivity (TFP); stochastic frontier production function; Chinese farmer households; TOTAL FACTOR PRODUCTIVITY; AGGLOMERATION ECONOMIES; GROWTH; MIGRATION; DECOMPOSITION; TECHNOLOGY; EFFICIENCY; RESOURCES; IMPACTS; REFORMS;
D O I
10.1016/S2095-3119(13)60217-8
中图分类号
S [农业科学];
学科分类号
09 ;
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.
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页码:169 / 183
页数:15
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