东三省经济绿色增长水平评价及动力因素研究
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摘要
为全面了解当前东三省经济绿色增长的水平现状,识别主要动力影响因素,更好地实现新一轮东北老工业基地振兴。文章基于DPSR概念模型,结合熵权-Topsis方法构建经济绿色增长水平评价指标体系,以东三省33个地级市为例,采用2016年的截面数据,从宏观和DPSR各层面对东三省的经济绿色增长水平予以评价和分析;然后运用Tobit回归模型分析东三省经济绿色增长的主要动力因素。研究表明:(1)东三省地级市经济绿色增长水平可以划分为成熟期、发展期和起步期,整体经济绿色增长水平偏低;(2)辽宁、吉林、黑龙江各省城市的经济绿色增长空间分布特征不同;(3)动力因素研究方面,科技发展水平和环境保护对经济绿色增长产生正向显著的驱动作用,经济发展水平对经济绿色增长产生不显著的正向驱动作用,资源消耗对经济绿色增长产生负向驱动作用。
In order to comprehend the current green growth situation as well as its the driving factors,and to realize the revitalization of a new round of old industrial base in Northeast China,based on the data of 33 prefecture level cities in Northeast China in the year 2016,this paper uses DPSR conceptual model,entropy weight and Topsis methods to evaluate its green growth situation from both macro and DPSR's view.Then,Tobit regression is used to analyze the main driving forces green growth in Northeast China.The results are as follows:(1)The cities' green growth situation in Northeast China could be divided into three levels,which are mature period,development period and starting period,and the overall green growth level of cities in three eastern provinces is low.(2) The characteristics of spatial distribution of economic green growth in Liaoning,Jilin and Heilongjiang Provinces are different.(3) In terms of driving forces study of green growth in Northeast China,scientific and environmental protection level have significant positive effects on green growth,while economic level has an insignificant positive effect on green growth,and resource consumption level has significant negative effect on green growth in Northeast China.
In order to comprehend the current green growth situation as well as its the driving factors,and to realize the revitalization of a new round of old industrial base in Northeast China,based on the data of 33 prefecture level cities in Northeast China in the year 2016,this paper uses DPSR conceptual model,entropy weight and Topsis methods to evaluate its green growth situation from both macro and DPSR's view.Then,Tobit regression is used to analyze the main driving forces green growth in Northeast China.The results are as follows:(1)The cities' green growth situation in Northeast China could be divided into three levels,which are mature period,development period and starting period,and the overall green growth level of cities in three eastern provinces is low.(2) The characteristics of spatial distribution of economic green growth in Liaoning,Jilin and Heilongjiang Provinces are different.(3) In terms of driving forces study of green growth in Northeast China,scientific and environmental protection level have significant positive effects on green growth,while economic level has an insignificant positive effect on green growth,and resource consumption level has significant negative effect on green growth in Northeast China.
引文
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[19]张江雪,蔡宁,毛建素,等.自主创新、技术引进与中国工业绿色增长--基于行业异质性的实证研究[J].科学学研究,2015(2):185-194.
[20]陈超凡.中国工业绿色全要素生产率及其影响因素--基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016(3):53-62.
[21]王傲雪.中国地区工业绿色发展指数测度及影响因素研究[D]重庆:重庆工商大学,2016.
[22]Lee J S,Kim J W.South Korea’s urban green energy strategies:Policy framework and local responses under the green growth[J]Cities,2016,54:20-27.
[23]张玉泽,任建兰,刘凯,等.山东省生态安全预警测度及时空格局[J].经济地理,2015(11):166-171.
[24]孙毅,景普秋.资源型区域绿色转型模型及其路径研究[J].中国软科学,2012(12):152-161.
[25]李亚力.大连:以“绿色工业”装扮城市[J].资源节约与环保,2009(5):15.
[2]赵儒煜,王媛玉.东北经济频发衰退的原因探析--从“产业缺位”到“体制固化”的嬗变[J].社会科学占线,2017(2):48-57.
[3]于源,黄征学.东北地区绿色转型发展研究[J].经济研究参考,2016(25):23-36.
[4]Apergis N,Payne J E.Renewable energy consumption and economic growth:Evidence from a panel of OECD countries[J]Energy Policy,2010,38(1):656-660.
[5]Meyer B,Meyer M,Distelkamp M.Modeling green growth and resource efficiency:New results[J].Mineral Economics,2012,24(2-3):145-154.
[6]Sterner T,Damon M.Green growth in the post-copenhagen climate[J].Energy Policy,2011,39(11):7165-7173.
[7]Leipert C.A critical appraisal of gross national product:The measurement of net national welfare and environmental accounting[J].Journal of Economics Issues,1987,21(1):357-373.
[8]Yale University,Columbia University.Environmental performance index 2018[EB/OL].[2018-06-06].http://epi.yale.edu/.
[9]Chen S Y,Golley J.“Green”productivity growth in China’s industrial economy[J].Energy Economics,2014,44:89-98.
[10]彭红斌.绿色型经济增长方式:中国经济发展的必然选择[J]理论前沿,2002(8):29-30.
[11]孙耀武.促进绿色增长的财政政策研究[D].北京:中共中央党校,2007.
[12]明翠琴.中国经济绿色增长评价指标体系研究[D].武汉:华中科技大学,2016.
[13]郭玲玲.中国绿色增长程度评价及实现路径研究[D].大连:大连理工大学,2016.
[14]林卫斌,陈彬.经济增长绿色指数的构建与分析--基于DEA方法[J].财经研究,2011(4):48-57.
[15]陈妍,梅林.东北地区资源型城市经济转型发展波动特征与影响因素--基于面板数据模型的分析[J].地理科学,2017(7):1080-1086.
[16]林晓,徐伟,杨凡,等.东北老工业基地绿色经济效率的时空演变及影响机制--以辽宁省为例[J].经济地理,2017(5):125-132.
[17]任嘉敏,马延吉.东北老工业基地绿色发展评价及障碍因素分析[J].地理科学,2018(7):1042-1050.
[18]张江雪,王溪薇.中国区域工业绿色增长指数及其影响因素研究[J].软科学,2013(10):92-96.
[19]张江雪,蔡宁,毛建素,等.自主创新、技术引进与中国工业绿色增长--基于行业异质性的实证研究[J].科学学研究,2015(2):185-194.
[20]陈超凡.中国工业绿色全要素生产率及其影响因素--基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016(3):53-62.
[21]王傲雪.中国地区工业绿色发展指数测度及影响因素研究[D]重庆:重庆工商大学,2016.
[22]Lee J S,Kim J W.South Korea’s urban green energy strategies:Policy framework and local responses under the green growth[J]Cities,2016,54:20-27.
[23]张玉泽,任建兰,刘凯,等.山东省生态安全预警测度及时空格局[J].经济地理,2015(11):166-171.
[24]孙毅,景普秋.资源型区域绿色转型模型及其路径研究[J].中国软科学,2012(12):152-161.
[25]李亚力.大连:以“绿色工业”装扮城市[J].资源节约与环保,2009(5):15.