摘要
运用2003-2018年中国省级面板数据,通过分析发现我国城乡融合存在经济融合优于生活融合、东部优于中西部的特征,并运用系统GMM估计方法和随机效应模型实证研究了劳动力、资本、技术要素集聚对城乡融合的影响。研究发现:首先,劳动力、资本和技术对城乡经济融合产生了正向集聚效应,且劳动力市场化在欠发达地区能够显著且持续的改善城乡收入差距、农业资本投入对经济融合的影响在欠发达地区具有前置性、农业现代化技术提高对经济融合的影响在欠发达地区较弱。其次,劳动力、资本和技术难以对城乡生活融合产生显著影响,只有农业资本投入增加能够在当期显著提升欠发达地区的城乡生活融合水平。实证结果表明各地区要结合自身发展实际更有针对性的实施城乡融合发展举措。
Based on the provincial panel data of China from 2003 to 2018,this paper finds that economic integration is better than life integration in China,and the urban-rural integration in eastern is better than the central and western in China.The systematic GMM estimation method and random effects model are used to empirical study the impact of agglomeration of labor,capital and technology on urban-rural integration.Study found that:first of all,the labor,capital and technology have a positive agglomeration effects on urban-rural economic integration,and labor marketization in less developed areas can significantly and continuously improve the income gap between urban and rural areas,the impact of agricultural capital investment on economic integration is prepositive in less developed areas,and the impact of the improvement of agricultural modernization technology on economic integration is weaker in less developed areas.Secondly,it is difficult for labor,capital and technology to have a significant impact on the life integration of urban and rural.Only the increase of agricultural capital investment can significantly improve the level of life integration of urban and rural in less developed areas in the current period.The empirical results show that each region should implement the urban-rural integration development measures in combination with its own development reality.
出处
《经济问题探索》
CSSCI
北大核心
2021年第7期44-52,共9页
Inquiry Into Economic Issues
基金
国家社会科学基金重点项目“欠发达地区新型城镇化与乡村振兴协同共进路径研究”(19AJY008)
云南省科技厅地方高校联合专项课题“产业生态圈视角下云南省大健康产业发展动力机制研究”(202001BA070001-195)
昆明学院引进人才科研项目“就业极化对劳动收入差距的影响机制与实证研究”(YJW2008)。
关键词
城乡融合
要素集聚
系统GMM模型
随机效应模型
地区差异
Urban-rural integration
Factor agglomeration
System GMM model
Random effects model
Regional differences