| 摘要: |
| 针对我国各粮食主产区间劳动生产率发展不均衡,阻碍粮食产业可持续发展,不利于保持粮食产量稳定增长的问题,利用13个粮食主产区省级面板数据,采用随机前沿生产函数模型测算粮食全要素生产率以及技术效率;在此基础上基于回归的分解方法对我国粮食劳动生产率地区差异进行分解,进一步对影响地区差异的各个因素及作用机制进行分析研究.实证分析结果表明:1)劳动力规模、劳均资本投入以及前沿技术水平对粮食劳动生产率地区差异呈正向影响,即这3种因素加剧了地区间劳动生产率的不平衡;2)技术效率水平、劳均土地、劳均用工以及粮食生产劳动力结构等因素则对地区间的劳动生产率差异有抑制作用,通过提高这些因素的投入水平能有效促进粮食产业的地区间均衡发展. |
| 关键词: 粮食 劳动生产率 地区差异 夏普里值分解 |
| DOI：10.11841/j.issn.1007-4333.2015.03.32 |
| 分类号: |
| 基金项目:国家自然科学基金项目(71273263); 中国农业科学院科技创新工程(ASTIP-IAED-2015-05); 中央公益性科研院所基本科研业务费专项资金项目(0052015001-1-11) |
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| Research on regional differences and decomposition of grain labor productivity in China:A empirical based on regression-based decomposition |
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WANG Chen, WU Jing-xue, ZHONG Xin
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Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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| Abstract: |
| As the labor productivity of main grain-producing areas was not evenly developed in China,it would hinder the sustainable development of food industry and the stable growth of grain production.For these reasons,this paper used panel data of 13 major grain-producing provinces,based on stochastic frontier production function model,and made the use of regression-based decomposition method,to measure the impact of various factors on China's grain regional differences in labor productivity and the affecting mechanism on it.Empirical analysis results showed that:1) the work scales,per capita capital investment and frontier technology had positively influence to the regional differences,which meant that the three factors enhanced the imbalance of regional labor productivity;2) the technical efficiency level,per capita land,per capita work and the labor structure in grain production had inhibitory effect on labor productivity differences among regions.Through increasing the investment of these factors could effectively promote the balanced development in grain industry. |
| Key words: grain labor productivity regional differences shapley value decomposition |
