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作 者:李晓龙 袁帅强 王伟 LI Xiao-long;YUAN Shuai-qiang;WANG Wei(College of Big Data Application and Economics,Guizhou University of Finance and Economics,Guiyang,Guizhou 550025,China)
机构地区:[1]贵州财经大学大数据应用与经济学院,贵州贵阳550025
出 处:《农业现代化研究》2023年第4期680-691,共12页Research of Agricultural Modernization
基 金:贵州省科技计划项目(黔科合基础-ZK[2021]一般197)。
摘 要:本文借助2015—2020年贵州省78个县域面板数据,将农业净碳汇纳入期望产出,采用基于SBM方向性距离函数的Malmquist-Luenberger指数测度农业生态效率,综合运用Dagum基尼系数分解法、Kernel密度估计法和β收敛模型系统分析贵州农业生态效率的时空演变特征。研究发现:贵州全省及五大区域农业生态效率总体呈波动上升趋势;各区域内差异均呈现扩大趋势,说明各区域内部不同县域农业生态效率不均衡问题日益突出;五大区域间差异总体呈扩大趋势,说明不同区域的农业生态效率逐渐失衡;对差异进行分解发现区域间差异已大于超变密度,成为差异主要贡献来源。贵州全省及五大区域核密度分布曲线在观测期内均存在右移趋势,且存在不同程度的极化趋势。全省及五大区域基本支持绝对β收敛,考虑差异化影响因素之后,不同区域农业生态效率会逐渐收敛至各自稳态水平。Based on a panel data of 78 counties in Guizhou from 2015 to 2020,this paper incorporates agricultural net carbon sink into expected output,uses the Malmquist-Luenberger index based on the SBM directional distance function to measure the agricultural eco-efficiency,and comprehensively applies the Dagum Gini coefficient decomposition method,kernel density estimation method,andβ-convergence model to systematically analyze the spatial-temporal evolution characteristics of agricultural eco-efficiency in Guizhou.This study finds that the agricultural eco-efficiency of Guizhou and its five regions showed a fluctuating and increasing trend.The intra-reginal differences of each region showed an expanding trend,indicating that the imbalance of agricultural eco-efficiency in different counties within each region has become increasingly prominent.The inter-regional differences of the five regions showed a generally expanding trend,indicating that the agricultural eco-efficiency in different regions was gradually unbalanced.By decomposing the differences this paper also finds that he inter-regional differences had exceeded the intensity of transvariation,which became the main source of differences.The kernel density distribution curves of Guizhou and its five regions showed a rightward trend during the observation period with different degrees of polarization trends.The whole province and the five regions basically supported absoluteβ-convergence,and after considering the different influencing factors,the agricultural eco-efficiency in different regions will gradually converge to their own steady-state level.
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