摘要
消除市场壁垒,促进劳动力合理流动对实现区域协同发展和促进经济发展高质量具有重要意义。利用相对价格法对2002—2020年成渝地区双城经济圈16个城市的劳动力市场一体化水平进行度量,并进一步解析其影响因素。研究发现:成渝地区双城经济圈劳动力市场一体化水平在波浪式变化中呈现整合态势,但未能形成有效协同,第二产业和生活性服务业的劳动力市场一体化水平较高。经济发展水平、政府支持力度、基础设施建设和产业结构合理化是影响成渝地区双城经济圈劳动力市场一体化的主要因素,产业结构高级化和对外开放水平的作用较小。研究结论旨在促进区域劳动力市场一体化发展,助力成渝地区成为有实力、有特色的双城经济圈纾解策略。
Eliminating market barriers and promoting the rational flow of labor are of great significance for achieving regional synergy and fostering high-quality economic development.The level of labor market integration in the Chengdu-Chongqing Dual-City Economic Circle in 16 cities from 2002 to 2020 was measured using the relative price method,and the influencing factors were further analyzed.The study found that the level of labor market integration in the Chengdu-Chongqing Dual-City Economic Circle exhibited a wave-like pattern of consolidation but failed to achieve effective synergy.The labor market integration level was relatively high in the secondary industry and the service industry related to daily life.The level of economic development,government support,infrastructure construction,and rationalization of industrial structure were identified as the main factors influencing labor market integration in the Chengdu-Chongqing Dual-City Economic Circle,while the effects of industrial structure upgrading and opening up were relatively minor.The conclusions of the study provide actionable recommendations aimed at promoting the development of regional labor market integration and enhancing the capacity of the Chengdu-Chongqing region to establish a robust and distinctive dual-city economic cluster.
作者
陆远权
陈莉
张源
LU Yuanquan;CHEN Li;ZHANG Yuan(School of Public Policy and Administration,Chongqing University,Chongqing 400044,China;School of Economics and Management,Chongqing Normal University,Chongqing 401331,China)
出处
《中国软科学》
CSSCI
CSCD
北大核心
2023年第10期88-97,共10页
China Soft Science
基金
重庆市社会科学规划项目“成渝地区双城经济圈市场一体化建设研究”(cstc2021ycjh-bgzxm0350)。
关键词
成渝地区双城经济圈
劳动力市场
一体化水平
影响因素
Chengdu-Chongqing economic circle
labor market
integration level
influencing factors
