现代农业全要素生产率分解及空间优化差异——来自湘南农户案例及VRS-DEA模型的实证检验  

Research on Decomposition and Spatial Optimization Differences of Total Factor Productivity of Modern Agricultural Industry——Based on Area Farmers Case in Southern Region and VRS-DEA Model Empirically Test

作　　者：姚增福[1] 刘欣[1] 

机构地区：[1]桂林航天工业学院,中国广西桂林541004

出　　处：《经济地理》2016年第12期119-125,共7页Economic Geography

基　　金：湖南省科技厅软科学重点项目(2012ZK2016);教育部人文社会科学基金青年项目(13YJC630206);国家社会科学基金一般项目(15BGL131)

摘　　要：基于湘南地区335份种粮大户调查数据,利用DEA模型中投入主导型的规模报酬可变模型(VRS)技术和CCR优化模型,并将积温和降雨量变量纳入测算模型,更加准确测算现代农业全要素生产率以及空间优化要素配置的分异。结果表明:湖南省现代农业要素生产率空间差异显著,湘南地区现代农业技术效率为0.965,规模效率为0.460,且存在规模报酬递增的趋势,不同土地空间规模组间平均技术效率和规模效率是逐渐增加的,而纯技术效率表现出了明显的"∪型"趋势,同时存在土地、资本和劳动力投入过量且劳动力产出不足的情况,气候变化对粮食产量波动产生了深刻影响。进一步说明现代农业全要素生产率及规模报酬存在以地理区位为特征的空间差异效应。The article more accurately measures total factor productivity and differentiation of spatial optimization configuration factors in modem agriculture by using leading the size of the variable remuneration technology and the optimization model for the CCR model in DEA model and accumulated temperature and rainfall variables included in the calculation model base on Data from Southern Hunan 335 farmers. The empirical results show that there is significant spatial difference of modem agricultural productivity in Hunan Province. Modern agricultural technology efficiency is 0.965, scale efficiency is 0.460, and the trend of increasing return of scale in southern region. Average technical efficiency and scale efficiency are gradually increasing, and pure technical efficiency showed obvious ＂∪＂trend among different land space scale group. At the same time, inputs of factors of production such as land capital and labor exist in excess, the less there are labor input-output. Climate change has had a profound impact on food production fluctuation. It further illustrates that agricultural TFP and scale reward are characterized by differences effect of geographic location.

关 键 词：湘南地区 现代农业 全要素生产率 DEA模型 空间优化差异 

分 类 号：F323.5[经济管理—产业经济]