农业绿色全要素生产率增长的分布动态演进

Dynamic Evolution of Agricultural Green Total Factor Productivity Growth

基于2000—2017年中国大陆330个地级市的面板数据,运用混合距离函数的全局Malmquist-Luenberger指数对农业绿色全要素生产率进行核算,在此基础上采用Dagum基尼系数、Kernel密度估计和空间Markov链方法考察其增长的地区差距及分布动态演进。研究表明:农业绿色全要素生产率年均增长2.30%,且呈现明显的地区非均衡性特征;农业绿色全要素生产率的总体地区差距呈扩大趋势,主要由超变密度引起;全国及七大地区农业绿色全要素生产率水平提升,但不同地区间表现出两极化或多极化趋势;农业绿色全要素生产率的时空转移受空间滞后类型的影响,呈现“高带动低、低抑制高”的分布格局。

Based on the panel data of 330 prefecture-level cities in China's Mainland from 2000 to 2017,using the global Malmquist-Luenberger index of the mixed distance function to calculate the agricultural GTFP.On this basis,the Dagum Gini coefficient,Kernel density estimation and spatial Markov are used to examine agricultural GTFP growing regional disparities and dynamic evolution of distribution.The results of the study showed that:the annual average growth rate of agricultural GTFP is 2.30%,and it shows obvious regional disequilibrium characteristics;the overall regional gap of agricultural GTFP is expanding,mainly caused by super-variable density.The level of agricultural GTFP has been improved,but there is a trend of polarization or multi-polarization among different regions.the spatial and temporal transfer of agricultural GTFP is affected by the type of spatial lag,showing a distribution pattern of"high drive low,low suppress high".