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我国养猪业环境全要素生产率测算与分解研究——基于SFA-Malmquist方法
李欣蕊, 齐振宏, 曹丽红
0
(华中农业大学 经济管理学院/湖北农村发展研究中心, 武汉 430070)
摘要:
为掌握环境制约下我国各地区养猪业经济增长状况,采用随机前沿分析(SFA)和Malmquist指数相结合的方法,将养猪业碳排放引入生产效率模型,测算新世纪以来我国养猪业技术效率和环境全要素生产率的变化。研究结果表明:其他资本投入、用工投入、饲料投入、仔猪投入和养猪业碳排放对生猪产出都有显著影响;在分时期及整个样本期,中部、东部和西部的技术效率逐次降低,且三大地区的差距具有不断拉大的趋势; 2001—2012年除西藏、青海、宁夏和海南4省市外的养猪业环境全要素生产率平均指数均 < 1;2006—2012年全国养猪业环境全要素生产率平均下降速度呈现出由中部、东部、西部逐次递减的格局;2001—2012年我国养猪业生产出现了普遍的技术倒退现象。
关键词:  养猪业  技术效率  环境全要素生产率  随机前沿分析(SFA)  Malmquist指数
DOI:10.11841/j.issn.1007-4333.2015.04.36
投稿时间:2015-03-09
基金项目:国家自然科学基金资助项目(41171436);国家社会科学基金重大项目(14AZD002)
Research on measurement and decomposition of environmental TFP of China's pig industry:Based on SFA-malmquist method
LI Xin-rui, QI Zhen-hong, CAO Li-hong
(College of Economics and Management /Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)
Abstract:
To master the economic growth of pig industry under environmental constraints in various regions of China, the Stochastic Frontier Analysis (SFA) and Malmquist Index method were applied in this study to measure the changes of technical efficiency and environmental TFP since the new century, and carbon emissions of pig industry were introduced into the production efficiency model.The results show that, other capital input, labor input, feed input, piglet input and carbon emissions of pig industry had significant impact on pig production;During sub- period and the entire sample period, technical efficiency of central, eastern and western regions decreased successively, and the gap of corresponding technical efficiency level showed a trend of constantly widening;During 2001—2012, average environmental TFP of pig industry in 26 provinces were less than 1 except Tibet, Qinghai, Ningxia and Hainan;During 2006—2012, the average decline rate of the central, eastern, western regions showed a gradually decreasing pattern;During 2001—2012, China's pig production had widespread technical setbacks.
Key words:  pig Industry  technical efficiency  environmental TFP  Stochastic Frontier Analysis (SFA)  Malmquist Index