城镇化对中国经济增长质量的影响——基于省级面板数据的分析
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摘要
基于省级面板数据,分析了中国城镇化进程的经济增长质量效应。总体上看,中国的城镇化进程有助于改善综合经济增长质量。分项来看,城镇化有助于显著增加经济增长效率、优化产业结构、提升绿色发展水平、改善社会福利。其中,城镇化对经济增长效率、产业结构升级和社会福利改善的提升作用较大,对绿色发展水平的提升效应相对有限。不过,城镇化显著加剧了区域收入分配失衡,主要是加剧了城乡居民和城镇居民内部的收入分配不平等。据此认为,应将推动中国城镇化进程与改善经济增长质量有机结合,通过高质量城镇化来促进中国经济实现更高质量的增长,尤其应注重推动城镇化进程的均衡发展和绿色发展,以确保经济发展成果为民共享,并进一步提升城镇化的环境友好性。
Based on the 2000-2014 provincial panel data,this paper studied the quality of economic growth driven by the urbanization in China. It was found that the urbanization improved the overall quality of economic growth on the whole. Specifically,the urbanization contributed to the economy by increasing its growth efficiency,optimizing its industrial structure,improving the social welfare and advancing the green development.The positive effects of the urbanization were evident in the first three aspects but modest in the fourth. However,the urbanization also had its downsides. It worsened the regional income inequality,in particular the gap between urban and rural residents.Given these findings, this paper noted that the urbanization should be pushed forward in parallel with the improvement of the economic growth quality. To drive high-quality growth with sound urbanization,the top priority is to seek balanced and green development in the whole process,share the growth benefits with all and make the urbanization more environmentally-friendly.
Based on the 2000-2014 provincial panel data,this paper studied the quality of economic growth driven by the urbanization in China. It was found that the urbanization improved the overall quality of economic growth on the whole. Specifically,the urbanization contributed to the economy by increasing its growth efficiency,optimizing its industrial structure,improving the social welfare and advancing the green development.The positive effects of the urbanization were evident in the first three aspects but modest in the fourth. However,the urbanization also had its downsides. It worsened the regional income inequality,in particular the gap between urban and rural residents.Given these findings, this paper noted that the urbanization should be pushed forward in parallel with the improvement of the economic growth quality. To drive high-quality growth with sound urbanization,the top priority is to seek balanced and green development in the whole process,share the growth benefits with all and make the urbanization more environmentally-friendly.
引文
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[13]王君磊,王兆凯,杨晓明.基于层次分析法的经济增长质量评价模型[J].统计与决策,2007(12):49-51
[14]马建新,申世军.中国经济增长质量问题的初步研究[J].财经问题研究,2007(3):18-23
[15]任保平.经济增长质量:理论阐释、基本命题与伦理原则[J].学术月刊,2012(2):63-72
[16]Mlachila M.,Tapsoba R.,Tapsoba S.A Quality of Growth Index for Developing Countries:A Proposal[J].Social Indicators Research,2014(172):1-36
[17]周一星,田帅.以“五普”数据为基础对我国分省城市化水平数据修补[J].统计研究,2006(1):62-65
[18]Blundell R,Bond S R.Initial conditions and moment restrictions in dynamic panel data models[J].Journal of Econometrics,1998(1):115-143
[2]黄志基,贺灿飞.制造业创新投入与中国城市经济增长质量研究[J].中国软科学,2013(3):89-100
[3]陈佳美.组织创新对中国经济增长质量提高的影响分析[J].经济学家,2013(12):36-41
[4]李强,魏巍.制度变迁对中国经济增长质量的非线性效应分析[J].经济与管理研究,2015(12):3-10
[5]詹新宇,崔培培.中央对地方转移支付的经济增长质量效应研究---基于省级面板数据的系统GMM估计[J].经济学家,2016(12):12-19
[6]邹圆.中国产业结构变迁对经济增长质量影响研究[D].重庆大学,2016
[7]林春.财政分权与中国经济增长质量关系---基于全要素生产率视角[J].财政研究,2017(2):73-83+97
[8]何兴邦.环境规制与中国经济增长质量---基于省级面板数据的实证分析[J].当代经济科学,2018(2):1-10
[9]彭宇文.城镇化对区域经济增长质量的影响[J].经济地理,2017(8):86-92
[10]岳雪莲,刘冬媛.新型城镇化与经济增长质量的协调性研究---基于桂、黔、滇三省(区)2009-2015年的数据[J].广西社会科学,2017(5):69-74
[11]Barro R J.Quantity and Quality of Economic Growth[J].Working Papers Central Bank of Chile,,2002(2):17-36
[12]刘海英,张纯洪.中国经济增长质量提高和规模扩张的非一致性实证研究[J].经济科学,2006(2):13-23
[13]王君磊,王兆凯,杨晓明.基于层次分析法的经济增长质量评价模型[J].统计与决策,2007(12):49-51
[14]马建新,申世军.中国经济增长质量问题的初步研究[J].财经问题研究,2007(3):18-23
[15]任保平.经济增长质量:理论阐释、基本命题与伦理原则[J].学术月刊,2012(2):63-72
[16]Mlachila M.,Tapsoba R.,Tapsoba S.A Quality of Growth Index for Developing Countries:A Proposal[J].Social Indicators Research,2014(172):1-36
[17]周一星,田帅.以“五普”数据为基础对我国分省城市化水平数据修补[J].统计研究,2006(1):62-65
[18]Blundell R,Bond S R.Initial conditions and moment restrictions in dynamic panel data models[J].Journal of Econometrics,1998(1):115-143