地理邻近性影响了区域协同减排吗?  

Does Geographical Proximity Affect Regional Coordinated Emission Reduction?

作　　者：廖斌 田彩红 LIAO Bin;TIAN Caihong(Business School,Xiangtan University,Xiangtan 411105,China;School of Economics and Trade,Hunan University,Changsha 410012,China)

机构地区：[1]湘潭大学商学院,湖南湘潭411105 [2]湖南大学经济与贸易学院,湖南长沙410012

出　　处：《经济经纬》2024年第5期3-14,共12页Economic Survey

基　　金：湘潭市哲学社会科学规划项目(2024035);国家资助博士后研究人员计划(GZC20241428)。

摘　　要：基于2011—2021年中国284个城市的面板数据,在科学测度区域协同减排水平的基础上,检验了地理邻近性对区域协同减排的影响效应、作用机制及异质性。区域协同减排水平的变化与收敛性分析发现,中国区域协同减排水平整体呈现波动上升趋势和东部>中部>西部的区域分化特征,且具有β收敛性。影响效应检验发现,地理邻近性对区域协同减排存在先促进后抑制的倒U形影响,且该结论经过一系列稳健性检验后依然成立。异质性分析发现,地理邻近性对区域协同减排的影响效应在长江经济带以促进作用为主,在非长江经济带以抑制效应为主,且在高等级城市中地理邻近性对区域协同减排的促进作用大于普通城市。机制检验发现,地理邻近性可以通过绿色创新分工和能源要素错配影响区域协同减排。基于以上结论,从放大地理邻近性的正外部性、完善作用机制和因地制宜发挥地理邻近性的积极作用等方面提出政策建议。Based on panel data of 284 cities in China from 2011 to 2021,the paper tested the impact effect,mechanism and heterogeneity of geographical proximity on regional coordinated emission reduction on the basis of scientific measurement of regional coordinated emission reduction levels.The change and convergence analysis of regional coordinated emission reduction level indicates that the overall regional coordinated emission reduction level of China showed a fluctuating upward trend and regional differentiation characteristics of east>middle>west,and it hadβconvergence.The impact effect test shows that geographical proximity has an inverted U-shaped impact on regional coordinated emission reduction,which promotes first and then suppresses it.And this conclusion is still true after a series of robustness tests.The impact effect of geographical proximity on regional coordinated emission reduction is mainly a promoting effect in the Yangtze River Economic Belt,while it is mainly an inhibitory effect in the non-Yangtze River Economic Belt.Moreover,in high-level cities,the promoting effect of geographical proximity on regional coordinated emission reduction is greater than that in ordinary cities.The mechanism test reveals that geographic proximity can have a nonlinear impact on regional synergistic emission reduction through green innovation division of labor and energy factor mismatch.Based on the above conclusions,policy suggestions are put forward from aspects such as amplifying the positive externalities of geographical proximity,improving the action mechanism,and exerting the positive role of geographical proximity according to local conditions.

关 键 词：地理邻近性 区域协同减排 绿色创新分工 能源要素错配 效率增值模型 

分 类 号：F061.5[经济管理—政治经济学]