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我国蔬菜生产技术效率变动及其影响因素分析*——以黄瓜和茄子为例
引用本文:张标,张领先,傅泽田,李鑫星.我国蔬菜生产技术效率变动及其影响因素分析*——以黄瓜和茄子为例[J].中国农业大学学报,2016,21(12):133-143.
作者姓名:张标  张领先  傅泽田  李鑫星
作者单位:中国农业大学 工学院, 北京 100083;中国农业大学 信息与电气工程学院, 北京 100083;中国农业大学 工学院, 北京 100083;中国农业大学 信息与电气工程学院, 北京 100083
基金项目:国家社会科学基金重点项目(14AJY019)
摘    要:为探究我国蔬菜生产技术效率变动及其影响因素,基于技术效率理论基础,利用30个省市2011和2012年的164组样本数据,构建了超越对数生产函数模型,研究结果表明:我国蔬菜生产技术效率平均为0.809 9,存在显著的技术效率损失;各地区蔬菜生产技术效率水平有较大差异;平均技术效率从高到低依次为:中南西北华北华东西南东北;物质与服务费用、化肥成本和劳动力成本3种投入要素存在不同程度的冗余。农业大省或较发达地区的蔬菜生产技术效率一般较高;无论黄瓜还是茄子,设施种植模式的平均技术效率均大于露地种植,且露地蔬菜生产的技术效率相对于设施蔬菜生产技术效率波动较大;农村人均纯收入和成灾面积比例对提高技术效率有负向影响,城镇化水平、农村劳动力受教育水平和有效灌溉率对技术效率提高有正向影响。

关 键 词:蔬菜  设施蔬菜  技术效率  随机前沿生产函数  影响因素
收稿时间:2016/1/13 0:00:00

Technical efficiency and influence factors of vegetable production: A case study based on cucumber and eggplant
ZHANG Biao,ZHANG Ling-xian,FU Ze-tian and LI Xin-xing.Technical efficiency and influence factors of vegetable production: A case study based on cucumber and eggplant[J].Journal of China Agricultural University,2016,21(12):133-143.
Authors:ZHANG Biao  ZHANG Ling-xian  FU Ze-tian and LI Xin-xing
Institution:College of Engineering, China Agricultural University, Beijing 100083, China;College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;College of Engineering, China Agricultural University, Beijing 100083, China;College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract:Based on the panel data of 30 provinces during 2011-2012 in China,a Trans-log Production Function model of vegetable production was constructed,and the technological trends of Chinese vegetable and factors were analyzed.The results showed that there were the excess input in material expenses,cost of fertilizer and labor costs.There was obvious area and planter pattern differentiation in technical efficiency and the average technical efficiency of vegetable is 0.809 9 in China.And the six factors that influence China''s vegetable production technical efficiency were examined by using data model.Finally,policy recommendations were put forwarded to improve Chinese vegetables production technology efficiency.
Keywords:vegetable  protected vegetables  technical efficiency  frontier stochastic production function  factors
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