浙江省生态效率区域差异及影响因素分析——基于超效率DEA模型
|
摘要
利用超效率DEA模型对2010—2017年浙江省11个地市的生态效率进行了测算,结果显示:浙江省整体上生态效率表现较好,但存在明显的区域差异,浙东北地区平均值高于浙西南地区。2010—2017年间各地市之间的生态效率差距呈扩大趋势,存在σ发散特征。进一步使用Tobit模型对浙江省生态效率影响因素进行研究,发现金融聚集程度、科技创新水平对生态效率产生显著正向影响,城镇化水平与生态效率存在明显的U型关系。为提高区域生态效率,应提升区域金融聚集度,加强绿色技术创新能力,加速产业升级,推进新型城镇化发展。
This paper used super-efficient DEA model to measure ecological efficiency of 11 cities in Zhejiang province from 2010 to 2017. The result shows that the level of ecological efficiency of Zhejiang province is fairly great as a whole, however, there are significant disparities between different regions, and the average level of Northeast cities is higher than that of southwest cities in Zhejiang province. The gap of ecological efficiency between different cities is tend to be widen from 2010 to 2017, which demonstrates σ divergence. Based on the research of determining factors with Tobit model, this paper finds that the density of finance and the level of innovation are positive relevant with ecological efficiency, while there is a clear U-shaped relationship between urbanization level and ecological efficiency. Thus, in order to promote ecological efficiency, it is supposed to improve the density of reginal finance, enhance the ability of technology innovation, accelerate industrial upgrading and promote the development of new urbanization.
This paper used super-efficient DEA model to measure ecological efficiency of 11 cities in Zhejiang province from 2010 to 2017. The result shows that the level of ecological efficiency of Zhejiang province is fairly great as a whole, however, there are significant disparities between different regions, and the average level of Northeast cities is higher than that of southwest cities in Zhejiang province. The gap of ecological efficiency between different cities is tend to be widen from 2010 to 2017, which demonstrates σ divergence. Based on the research of determining factors with Tobit model, this paper finds that the density of finance and the level of innovation are positive relevant with ecological efficiency, while there is a clear U-shaped relationship between urbanization level and ecological efficiency. Thus, in order to promote ecological efficiency, it is supposed to improve the density of reginal finance, enhance the ability of technology innovation, accelerate industrial upgrading and promote the development of new urbanization.
引文
[1] WILARD B.The sustainability advantage:seven business case benefits of a Triple Bottom Line[M].Gabriola Island:New Society Publishers,2002:1.
[2] WBCSD.Eco-efficient Leadership for Improved Economic and Environmental Performance[R].Geneva:WBCSD,1996:3.
[3] OECD.Eco-efficiency Leadership for Improved Economic and Environmental Performance[R].Geneva:WBCSD,1996:1.
[4] 卢燕群,袁鹏.中国省域工业生态效率及影响因素的空间计量分析[J].资源科学,2017,39(7):1326.
[5] ALVES J L S,MEDIROS D D,Eco-efficiency in micro-enterprise and small firms:a case study in the automotive services sector[J].Journal of Cleaner Production,2015,108(1):595.
[6] MICHAEL R,GABRIELE W B,KLAUS R.Eco-efficiency analysis of recycling recovered solid wood from construction into laminated timber products[J].Science of the Total Environment,2019():661.
[7] 梁星,卓得波.中国区域生态效率评价及影响因素分析[J].统计与决策,2017(19):143.
[8] 曹俊文,李湘德.长江经济带生态效率测度及分析[J].生态经济,2018,34(8):174.
[9] CHARNES A,COOPER W W,RHODES E.Measuring efficiency of decision-making units[J].European Journal of Operational Research,1978,2(6):429.
[10] LIDIA A M,MARCELA G A,ALFREDO I,et al.A multi-objective DEA model to assess the eco-efficiency of agricultural practices within the CF+DEA method[J].Computers and Electronics in Agriculture,2018,61:151.
[11] 徐杰芳,田淑英,占沁嫣.中国煤炭资源型城市生态效率评价[J].城市问题,2016(12):85.
[12] LIU Y,SUN C,XU S.Eco-efficiency assessment of water systems in China[J].Water Resources Management,2013,27(14):4927.
[13] 杨志江,文超祥.中国绿色发展效率的评价与区域差异[J].经济地理,2017,37(3):10.
[14] BANKER R D,COOPER A C.Some Models for Estimating Technical and Scale In Inefficiencies in Data Envelopment Analysis[J].Management Science,1984,30(9):1078.
[15] 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.
[16] 付丽娜,陈晓红,冷智花.基于超效率DEA模型的城市群生态效率研究:以长株潭“3+5”城市群为例[J].中国人口·资源与环境,2013,23(4):169.
[17] 任胜钢,张如波,袁宝龙.长江经济带工业生态效率评价及区域差异研究[J].生态学报,2018,38(15):5485.
[18] 汪克亮,孟祥瑞,杨宝臣,等.基于环境压力的长江经济带工业生态效率研究[J].资源科学,2015,37(7):1491.
[19] 谢锐,陈严,韩峰,等.新型城镇化对城市生态环境质量的影响及时空效应[J].管理评论,2018,30(1):230.
[20] HAN L,ZHOU W,LI W,et al.Impact of urbanization level on urban air quality:A case of fine particles(PM 2.5)in Chinese Cities[J].Environmental Pollution,2014,194:163.
[21] 何宜庆,陈林心,焦剑雄,等.金融集聚的时空差异与省域生态效率关系研究[J].数理统计与管理,2017,36(1):162.
[22] 陈林心,何宜庆,王芸,等.金融集聚、经济发展与生态效率空间面板数据的SD仿真[J].系统工程,2017,35(1):23.
[23] 吴井峰.金融集聚与地区生态效率的空间计量实证研究[J].统计与决策,2016(3):149.
[2] WBCSD.Eco-efficient Leadership for Improved Economic and Environmental Performance[R].Geneva:WBCSD,1996:3.
[3] OECD.Eco-efficiency Leadership for Improved Economic and Environmental Performance[R].Geneva:WBCSD,1996:1.
[4] 卢燕群,袁鹏.中国省域工业生态效率及影响因素的空间计量分析[J].资源科学,2017,39(7):1326.
[5] ALVES J L S,MEDIROS D D,Eco-efficiency in micro-enterprise and small firms:a case study in the automotive services sector[J].Journal of Cleaner Production,2015,108(1):595.
[6] MICHAEL R,GABRIELE W B,KLAUS R.Eco-efficiency analysis of recycling recovered solid wood from construction into laminated timber products[J].Science of the Total Environment,2019():661.
[7] 梁星,卓得波.中国区域生态效率评价及影响因素分析[J].统计与决策,2017(19):143.
[8] 曹俊文,李湘德.长江经济带生态效率测度及分析[J].生态经济,2018,34(8):174.
[9] CHARNES A,COOPER W W,RHODES E.Measuring efficiency of decision-making units[J].European Journal of Operational Research,1978,2(6):429.
[10] LIDIA A M,MARCELA G A,ALFREDO I,et al.A multi-objective DEA model to assess the eco-efficiency of agricultural practices within the CF+DEA method[J].Computers and Electronics in Agriculture,2018,61:151.
[11] 徐杰芳,田淑英,占沁嫣.中国煤炭资源型城市生态效率评价[J].城市问题,2016(12):85.
[12] LIU Y,SUN C,XU S.Eco-efficiency assessment of water systems in China[J].Water Resources Management,2013,27(14):4927.
[13] 杨志江,文超祥.中国绿色发展效率的评价与区域差异[J].经济地理,2017,37(3):10.
[14] BANKER R D,COOPER A C.Some Models for Estimating Technical and Scale In Inefficiencies in Data Envelopment Analysis[J].Management Science,1984,30(9):1078.
[15] 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.
[16] 付丽娜,陈晓红,冷智花.基于超效率DEA模型的城市群生态效率研究:以长株潭“3+5”城市群为例[J].中国人口·资源与环境,2013,23(4):169.
[17] 任胜钢,张如波,袁宝龙.长江经济带工业生态效率评价及区域差异研究[J].生态学报,2018,38(15):5485.
[18] 汪克亮,孟祥瑞,杨宝臣,等.基于环境压力的长江经济带工业生态效率研究[J].资源科学,2015,37(7):1491.
[19] 谢锐,陈严,韩峰,等.新型城镇化对城市生态环境质量的影响及时空效应[J].管理评论,2018,30(1):230.
[20] HAN L,ZHOU W,LI W,et al.Impact of urbanization level on urban air quality:A case of fine particles(PM 2.5)in Chinese Cities[J].Environmental Pollution,2014,194:163.
[21] 何宜庆,陈林心,焦剑雄,等.金融集聚的时空差异与省域生态效率关系研究[J].数理统计与管理,2017,36(1):162.
[22] 陈林心,何宜庆,王芸,等.金融集聚、经济发展与生态效率空间面板数据的SD仿真[J].系统工程,2017,35(1):23.
[23] 吴井峰.金融集聚与地区生态效率的空间计量实证研究[J].统计与决策,2016(3):149.