劳动力返乡创业与县域绿色低碳发展
Returning Laborers'Entrepreneurship and Low-carbon Development in the County
魏滨辉 1罗明忠1
作者信息
- 1. 华南农业大学经济管理学院,广东广州 510642
- 折叠
摘要
创业活动是实现经济可持续发展的重要途径.以返乡创业试点政策的实施作为一项准自然实验,基于中国2010-2020年2 097个县域样本,在多维度理论剖析返乡创业影响碳排放内在机制的基础上,实证检验劳动力返乡创业的碳减排效应.研究表明:劳动力返乡创业有助于降低县域碳排放水平,促进县域绿色低碳发展,且这一结论在排除多种可能干扰因素后依旧成立;返乡创业试点政策主要通过降低能源消费规模、推动产业结构升级和提升技术创新水平推动县域实现碳减排;劳动力返乡创业对县域碳减排的影响具有门槛特征,当县域数字化和市场化水平发展到一定程度后,其碳减排效应才能得到有效发挥.因此,在鼓励劳动力返乡创业的同时,要注重推进县域数字化建设和要素市场化进程,提升县域间资源再配置的合理化程度.
Abstract
Entrepreneurship is a crucial way to achieve sustainable economic development.This paper u-ses the implement of returning home for entrepreneurship policy in China as a quasi-natural experiment.Based on samples from 2097 Chinese counties from 2010 to 2020,it analyzes the internal mechanism that re-turning home for entrepreneurship has effects on carbon emissions through multidimensional theory,and em-pirically examines the carbon emission reduction effect of labor force returning to their hometowns for entre-preneurship.The research indicates that encouraging entrepreneurs to return to their hometowns significantly lowers carbon emissions in these regions,thereby fostering green and low-carbon growth.This effect persists even when controlling for potential confounding factors.The policy facilitates carbon reduction through three main avenues:diminishing energy consumption,advancing industrial restructuring,and boosting technologi-cal innovation.However,the policy's effectiveness in reducing carbon emissions hinges on the county's level of digitalization and market development.Only when these reach a certain threshold does the policy's impact become pronounced.Consequently,it's vital to not only encourage entrepreneurship but also enhance digital infrastructure and market-oriented reforms at the county level to rationalize inter-county resource realloca-tion.
关键词
返乡创业/产业升级/技术创新/碳排放/绿色发展/县域经济Key words
returning home for entrepreneurship/industrial upgrading/technological innovation/carbon emissions/green development/county economy引用本文复制引用
基金项目
国家社会科学基金重大项目(23&ZD112)
国家自然科学基金面上项目(72373043)
出版年
2024
NETL
NSTL
万方数据