黄河中游城市工业环境绩效及其影响因素——基于DEA-Tobit模型的实证分析
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摘要
环境绩效是衡量区域经济可持续发展的指标之一。通过纳入资源消耗和环境污染指标,设计工业环境绩效的投入、产出指标体系,并运用数据巴洛分析方法测算了黄河中游14个城市2003-2012年间的工业环境绩效水平。在构建工业环境绩效影响因素分析框架的基础上,运用Tobit模型对该区域的工业环境绩效影响因素进行分析。研究结果表明,地区人均收入水平、产业结构和外商直接投资对工业环境绩效具有显著的正向影响;铁路、公路货运总量对地区工业环境绩效具有显著负向影响;地区城镇化水平和贸易依存度对工业环境绩效影响不显著。
Industrial environmental performance is one of the best indicators to measure the regional sustainable development of economy. By adding resource consumption and environmental pollution indicators,this paper designed an input-output indicator system of industrial environmental performance,then measured the industrial environmental performance of 14 cities in the midstream of Yellow River from 2003 to 2012 with the method of DEA. Based on the analytical framework of factors affecting the industrial environmental performance,the paper analyzed the influencing factors of industrial environmental performance using Tobit model. The result showed that the regional average income level,the industrial structure and the foreign direct investment have significantly positive influence on the industrial environmental performance; The railway and highway freight volume has significantly negative influence on the industrial environmental performance; The influence of regional urbanization and degree of tade dependence on the industrial environmental performance are not significant.
Industrial environmental performance is one of the best indicators to measure the regional sustainable development of economy. By adding resource consumption and environmental pollution indicators,this paper designed an input-output indicator system of industrial environmental performance,then measured the industrial environmental performance of 14 cities in the midstream of Yellow River from 2003 to 2012 with the method of DEA. Based on the analytical framework of factors affecting the industrial environmental performance,the paper analyzed the influencing factors of industrial environmental performance using Tobit model. The result showed that the regional average income level,the industrial structure and the foreign direct investment have significantly positive influence on the industrial environmental performance; The railway and highway freight volume has significantly negative influence on the industrial environmental performance; The influence of regional urbanization and degree of tade dependence on the industrial environmental performance are not significant.
引文
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[28]包群,彭水军.经济增长与环境污染:基于面板数据的联立方程估计[J].世界经济,2006,11:48-58.
[29]林伯强,邹楚沅.发展阶段变迁与中国环境政策选择[J].中国社会科学,2014(5):81-95.
[30]彭水军,张文城,曹毅.贸易开放的结构效应是否加剧了中国的环境污染——基于地级城市动态面板数据的经验证据[J].国际贸易问题,2013(8):119-132.
[31]周国富,李时兴.偏好、技术与环境质量——环境库兹涅茨曲线的形成机制与实证检验[J].南方经济,2012,30(6):85-95.
[32]史丹.我国经济增长过程中能源利用效率的改进[J].经济研究,2002(9):36-43.
[2]Schaltegger S,Sturm A.Okologische rationalitat:ansatzpunkte zur ausgestaltung you okologieorienttierten management instrumenten[J]. Die Unternehmung,1990(4):273-290.
[3]WBCSD. Eco-efficient leadership for improved economic and environmental performance[M]. Geneva:WBCSD,1996:3-16.
[4]Sangwon S,Kun M L,Sangsun H. Eco-efficiency for pollution prevention in small to medium-sized enterprises:A case from South Korea[J]. Journal of Industrial Ecology,2005,9(4):223-240.
[5]Doonan J,Lanoie P,Laplante B. Determinants of environmental performance in the Canadian pulp and paper industry:an assessment from inside the industry[J]. Ecological Economics,2005(55):73-84.
[6]Kuosmanen T,Kortelainen M. Measuring eco-efficiency of production with data envelopment analysis[J]. Journal of Industrial Ecology,2005,9(4):59-72.
[7]杨斌. 2000-2006年中国区域生态效率研究——基于DEA方法的实证分析[J].经济地理,2009,29(7):1197-1202.
[8]成金华,孙琼,郭明晶,等.中国生态效率的区域差异及动态演化研究[J].中国人口:资源与环境,2014,24(1):47-54.
[9]程翠云,任景明,王如松.我国农业生态效率的时空差异[J].生态学报,2014,34(1):142-148.
[10]Figge F,Hahn T. Sustainable value added-measuring corporate contributions to sustainability beyond eco-efficiency[J]. Ecological Economics,2004,48(2):173-187.
[11]Michelsen O,Fet A M,Dahlsrud A. Eco-efficiency in extended supply chains:a case study of furniture production[J]. Journal of Environmental Management,2006,79(3):290-297.
[12]潘兴侠,何宜庆.工业生态效率评价及其影响因素研究——基于中国中东部省域面板数据[J].华东经济管理,2014,(3):33-38.
[13]张淑英,李德山,刘媛媛.区域工业生态效率评价及其影响因素研究[J].统计与决策,2013(3):61-64.
[14]杨文举.中国省份工业的环境绩效影响因素——基于跨期DEA-Tobit模型的经验分析[J].北京理工大学学报(社会科学版),2015,17(2):40-48.
[15]史恒通,赵敏娟.基于选择试验模型的生态系统服务支付意愿差异及全价值评估——以渭河流域为例[J].资源科学,2015,37(2):351-359.
[16]国家统计局.中国区域经济统计年鉴[M].北京:海洋出版社,2013.
[17]陕西统计局.陕西统计年鉴[M].北京:中国统计出版社,2012.
[18]山西省统计局.山西统计年鉴[M].北京:中国统计出版社,2010.
[19]国家统计局.中国城市统计年鉴[M].北京:中国统计出版社,2014.
[20]高东燕,高兵.我国民族地区高校效率研究——基于数据包络分析法[J].民族教育研究,2018(6):58.
[21]Banker R D,Charnes A,Cooper WW. Some models for estimating technical and scale inefficiencies in data envelopment analysis[J]. Management Scinece,1984(9):1078-1092.
[22]彭云飞,沈曦.经济管理中常用数量方法[M].北京:经济管理出版社,2011.
[23]魏楚,沈满洪.能源效率及其影响因素:基于DEA的实证分析[J].管理世界,2007,167(8):66-76.
[24]吴小庆,王亚平,何丽梅,等.基于AHP和DEA模型的农业生态效率评价——以无锡市为例[J].长江流域资源与环境,2012,21(6):714.
[25]Grossman G M,Krueger A B. Environmental Impacts of a North American Free Trade Agreement[J]. Social Science Electronic Publishing,1991,8(2):223-250.
[26]Copeland B R,Taylor M S. North-South Trade and the Environment[J]. Quarterly Journal of Economics,1994,109(3):755-787.
[27]Antweiler W,Copeland B R,Taylor M S. Is Free Trade Good for the Environment?[J]. American Economic Review,2001,91(4):877-908.
[28]包群,彭水军.经济增长与环境污染:基于面板数据的联立方程估计[J].世界经济,2006,11:48-58.
[29]林伯强,邹楚沅.发展阶段变迁与中国环境政策选择[J].中国社会科学,2014(5):81-95.
[30]彭水军,张文城,曹毅.贸易开放的结构效应是否加剧了中国的环境污染——基于地级城市动态面板数据的经验证据[J].国际贸易问题,2013(8):119-132.
[31]周国富,李时兴.偏好、技术与环境质量——环境库兹涅茨曲线的形成机制与实证检验[J].南方经济,2012,30(6):85-95.
[32]史丹.我国经济增长过程中能源利用效率的改进[J].经济研究,2002(9):36-43.