Econ Papers Daily / 期刊论文
空间溢出与绿色增长：解码环境调整后的农业生产力动态
Spatial Spillovers and Green Growth: Decoding Environment‐Adjusted Agricultural Productivity Dynamics
摘要
This paper develops a novel production function framework that accounts for spatial spillovers in environment‐adjusted agricultural productivity and its components, namely technical change, scale efficiency change and environmental efficiency change, in a single‐stage setting, with greenhouse gas (GHG) emissions incorporated as an undesirable output. A parametric frontier model was specified to measure agricultural environmental efficiency and productivity growth, while allowing for the agricultural outputs to be functions of individuals’ and neighbors’ characteristics. The empirical application concerned the 126 prefectures in the Yangtze River Basin for the period 2000–2020. The empirical findings indicated an upward trend, with an average environment‐adjusted agricultural productivity growth rate of 0.213 during this period when spatial spillovers and agricultural undesirable output were considered, suggesting that agricultural productivity was increasing rapidly and at an accelerating pace. The downstream region experienced the highest rate of productivity improvement, followed by the midstream region, while the upstream region lagged. Technical progress emerged as the dominant driver of environment‐adjusted agricultural productivity growth in the study area.
中文摘要
本文构建了一个新颖的生产函数框架，在单阶段设定中纳入环境调整后的农业全要素生产率及其组成部分（即技术变化、规模效率变化和环境效率变化）的空间溢出效应，并将温室气体排放作为非期望产出纳入模型。通过设定参数前沿模型，在允许农业产出受个体及邻近区域特征影响的前提下，测算了农业环境效率与生产率增长。实证研究以2000—2020年长江流域126个地级市为对象。结果表明，在考虑空间溢出效应和农业非期望产出时，该时期环境调整后的农业全要素生产率呈上升趋势，平均增长率为0.213，表明农业生产力正以加速态势快速提升。下游地区生产率改善幅度最大，中游地区次之，上游地区相对滞后。技术进步是研究区域环境调整后农业全要素生产率增长的主导驱动力。