摘要
利用中国1869个县域的面板数据,本文测算县域的农地效率水平,并运用SARAR模型分析非农就业对县域农地效率的影响。研究发现:中国县域农地效率水平相对较低,总体上表现出“中等水平陷阱”;县域非农就业存在着显著的空间溢出效应;非农就业能够提高县域农地效率;非农就业对农地效率的影响存在着显著的空间差异,即非农就业主要影响东部和中部县域的农地效率,对西部县域农地效率并未产生影响。本文为促进农业经济高质量发展提供理论支撑。
This paper uses the panel data of 1869 counties in China to measure the farmland efficiency in counties,and uses the SARAR model to analyze the impact of non-agricultural employment on the farmland efficiency in counties.It is found that:China's county-level farmland efficiency is relatively low,showing a“moderate trap”overall;county-level non-agricultural employment has a significant spatial spillover effect;non-agricultural employment can improve county-level farmland efficiency;there is a significant spatial difference in the impact of land efficiency,that is,non-agricultural employment mainly affects the agricultural land efficiency in the eastern and central counties rather than in the western counties.
作者
孙学涛
SUN Xuetao(Shandong Academy of Social Sciences,Jinan 250002;Ocean University of China,Qingdao 266100)
出处
《经济与管理研究》
CSSCI
北大核心
2021年第1期133-144,共12页
Research on Economics and Management
基金
山东省社会科学规划研究专项课题“数字金融对山东省县域结构红利释放的作用机理与政策优化”(20CSDJ48)
山东社会科学院博士基金项目“高铁时代背景下农村劳动力流动的配置效率:兼对结构红利假说的再检验”(58)。
关键词
县域经济
非农就业
农地效率
Hybrid模型
空间溢出效应
county-level economy
non-agricultural employment
farmland efficiency
Hybrid model
spatial spillover effect
