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我国粮食生产的技术推进模式及影响机制研究 被引量:2

Analysis on Food Production Technology Progression and Impact Mechanism in China
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摘要 基于农业生产技术的功能性特征及随机前沿理论,构建可分离柯布-道格拉斯形式生产函数,测算我国粮食生产全要素增长率及其组成成分.实证结果表明,1999-2011年间,小麦、稻谷和玉米作物的全要素增长率普遍较低,其中,前沿技术进步率对全要素增长率具有正的贡献;但技术效率(尤其是M技术效率)在逐年降低,是造成全要素增长率偏低的主要原因.在此基础上,对影响我国粮食生产技术效率变化的因素进行理论分析和实证检验.研究发现,以直接补贴为主的农业财政支出政策对BC和M技术效率提高作用明显,且影响效果最强.粮食生产技术的推广与普及、粮食生产的规模化和专业化对技术效率具有显著正向影响,但市场机制的影响效果并没有显现出来. Based on the functional properties of agricultural production technologies and stochastic frontier approach, this paper constructs a grain function with separated Cobb Douglas form to evaluate the total factor productivity and corresponding components of China' s grain production. The empirical results indicate that in between 1999-2010, the total factor productivity of wheat, rice and corn of China kept a low level in general and frontier technology productivity made a positive contribution to total productivity, however, technology efficiency (especiMly for M technology efficiency) went down gradually, which is the main reason of the low total factor productivity. Furthermore, this paper makes an anal- ysis of the theories and empirical test of the factors which influence the technology of grain production of China. Research shows that direct subsidy-oriented agriculture fiscal policy has a remarkable influence on both BC and M technology efficiency. Enhancing the scale and spe- cialization of grain production and facilitating the popularity and promotion affect technology efficiency positively, but market mechanism does not take obvious roles in this case.
作者 陈飞
出处 《数学的实践与认识》 CSCD 北大核心 2014年第7期147-160,共14页 Mathematics in Practice and Theory
基金 国家自然科学基金(71171035) 国家自然科学基金(71173029) 教育部社科规划基金(12YJC790007) 辽宁省高等学校优秀人才支持计划项目(WJQ2011036)
关键词 粮食生产技术 农业政策 可分离柯布-道格拉斯函数 随机前沿方法 technology of food production agricultural policy separated cobb-douglas func-tion stochastic frontier approach
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参考文献21

  • 1Evenson R, and Kislev Y. Agricultural Research and Productivity[M], New Haven: Yale University Press, 1975.
  • 2McMillan J, Whalley J, and Zhu L. The impact of china' s economic reformon agricultural produc- tivity growth[J]. Journal of Political Economy, 1989, 97: 781-807.
  • 3Wen G J. Total factor productivity change in China' s farming sector: 1952-89[J]. Economic Devel- opment and Cultural Change, 1993, 42: 1-41.
  • 4乔榛,焦方义,李楠.中国农村经济制度变迁与农业增长——对1978—2004年中国农业增长的实证分析[J].经济研究,2006,41(7):73-82. 被引量:189
  • 5Kislev Y, and Peterson W. Prices, technology, and farm size[J]. Journal of Political Economy, 1982, 90: 578-595.
  • 6Sato K. A Two-Level constant flasticity of substitution production function[J]. Rev Econ Studies, 1967, 34: 201-218.
  • 7Egaitsu F. Fall in growth rate of the Japanese economy and consequential charges in the costs of farm production[J]. Journal of Rural Economics, 1979, 51: 52-60.
  • 8吴敬学.农业技术进步模式问题研究[J].世界农业,1997(3):12-13. 被引量:10
  • 9Mundlak Y. Economic growth: Lessons from two centuries of American agriculture[J]. Journal of Economic Literature, 2005, 43: 989-1024.
  • 10Ito J. Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology[J]. China Economic Review, 2010, 3: 394-410.

二级参考文献45

共引文献447

同被引文献33

  • 1王崇桃,李少昆,韩伯棠.玉米产量潜力实现的限制因素的参与式评估[J].中国软科学,2006(7):53-59. 被引量:22
  • 2赵蕾,杨向阳,王怀明.改革以来中国省际农业生产率的收敛性分析[J].南开经济研究,2007(1):107-116. 被引量:22
  • 3McMillan,J. , Whalley, J. , Zhu, L. The Impact of China' s Economic Reforms on Agricultural Productivity Growth [ J]. Journal of Political Economy, 1989,97 (4) : 781-807.
  • 4Fan, S. G. Effects of Technological Change and Institutional Reform on Production Growth in Chinese Agriculture [J]. American Journal of Agricultural Economics, 1991,73 (2) :266-275.
  • 5Yao, S. , Liu, Z. , Zhang, Z. Spatial Differences of Grain Production Efficiency in China, 1987-1992 [ J ]. Economics of Planning,2001,34(2) : 139-157.
  • 6Jin, S. Q. , Ma, H. Y. , Huang, J. K. , Hu, R. F. ,Seott, R. Productivity, Efficiency and Technical Change : Measuring the Performance of China' s Transforming Ariculture[ J]. Journal of Productivity Analysis, 2010,33 (3) : 191-207.
  • 7Ito, J. Inter- Regional Difference of Agricultural Productivity in China : Distinction between Biochemical and Machinery Technology[ J]. China Economic Review,2010,21 (3) :394-410.
  • 8Tian, X. , Yu, X. The Enigmas of TFP in China : A Meta-Analysis [ J ]. China Economic Review, 2012,23 ( 2 ) : 396-414.
  • 9Battese, G. E. , Rao, D. S. P. , O' Donnell, C. J. A Meta - Frontier Frameworks Production Function for Estimation of Technical Efficiency and Technology Gap for Finns Operating under Different Technology [ J ]. Journal of Productivity Analysis ,2004,21 ( 1 ) :91-103.
  • 10Hansen, B. E. Threshold Effects in Non- Dynamic Panels: Estimation, Testing, and Inference [ J ]. Journal of Econometrics, 1999,93 (2) : 345-368.

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