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家庭农场经营效率实证分析——基于超越对数的随机前沿模型分析 被引量:1

An empirical analysis of family farm business efficiency--Analysis of stochastic frontier models based on transcendental logarithms
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摘要 基于超越对数的随机前沿模型,利用《中国农村经营管理统计年报》2015—2017年30个省级面板数据,研究我国家庭农场的经营效率和影响因素。结果表明:增加土地和劳动投入可以有效提升家庭农场的产出水平;西部地区平均技术效率高于中部和东部地区;家庭农场内外部因素均会对经营效率产生显著的影响,并且不同地区存在异质性。由此提出调整家庭农场产业结构,因地制宜发展优势产业,加强农产品质量认证,加强财政支持资金的监管力度等建议。 This article is based on the 30 provincial panel data of China Rural Management Statistical Annual Report 2015—2017,and uses the stochastic frontier analysis(SFA)model to study the operating efficiency and influencing factors of family farms in China.The results show that:increasing land and labor input can effectively improve the output of family farms;the average technical efficiency of the western region is higher than that of the eastern and central regions;internal and external factors of family farms have a significant impact on operating efficiency,and there are differences in different regions.Therefore,it is proposed to adjust the industrial structure of family farms and develop advantageous industries according to local conditions;strengthen the quality certification of agricultural products;strengthen the supervision of financial support funds.
作者 邓洋 冯颖琪 Deng Yang;Feng Yingqi(School of Agricultural Economics and Rural Development,Renmin University of China,Beijing 100872,China)
出处 《农业科学研究》 2020年第4期74-80,共7页 Journal of Agricultural Sciences
基金 农业农村部政策与改革司委托项目“国内外集体经济和集体农庄统计分析”(2019K20526)。
关键词 家庭农场 经营效率 随机前沿分析(SFA) family farm operating efficiency stochastic frontier analysis(SFA)
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