山西农业大学学报（社会科学版）2018，Vol.17Issue(1)：30-35,64,7.DOI:10.13842/j.cnki.issn1671-816x.2018.01.005
基于随机前沿分析的中国农业全要素生产率增长的实证分析
Empirical study on the productivity growth of agricultural total factor based on stochastic frontier analysis
摘要
Abstract
Based on the provincial panel data from 1997 to 2014, the paper builds transcendental logarithmic stochastic frontier function model and make an empirical analysis of the agricultural total factor productivity.According to the calculation of the total factor productivity conclusions are drawn as follows:total factor productivity growth is in wave with annual increase of 8.59％;the change rate of technological progress is the main driving factor, while the rate of change of factor allocation efficiency and scale efficiency are still small.Besides, it has obvious regional differences:the fluctuation of agricultural TFP in Southern China has a great impact on the growth rate of the national agriculture TFP;, the total factor productivity growth in East China is affected by the change of scale efficiency, while Southern China agricultural TFP is largely affected by the change rateof the configuration efficiency.Finally, the corresponding policy recommendations are put forward based on the conclusions of the study.关键词
农业/全要素生产率/随机前沿分析/超越对数Key words
Agriculture/Total factor productivity/Stochastic frontier analysis/Translog分类
管理科学引用本文复制引用
王留鑫,洪名勇..基于随机前沿分析的中国农业全要素生产率增长的实证分析[J].山西农业大学学报（社会科学版）,2018,17(1):30-35,64,7.基金项目
教育部人文社会科学重点研究基地重大项目(13JJD790022) （13JJD790022）
