山西省低碳竞争力实证评价研究
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摘要
应对全球变化和促进低碳发展已成为当今世界各国发展的重要议题。为了系统、有效地评价区域低碳竞争力发展状况,在低碳经济理论的基础上运用DPSIR模型建立低碳竞争力评价指标体系,通过熵权法确定指标权重系数,在传统理想解法的基础上引入灰色理论建立灰理想关联分析评价模型,对山西省2006—2015年横截面数据进行实证研究,并且综合评价结果提出提升山西省低碳竞争力的对策与建议。
Responding to global changes and promoting low-carbon development has become an important issue in the development of all countries in the world today. In order to systematically and effectively evaluate the development of regional lowcarbon competitiveness, the DPSIR model is used to establish a low-carbon competitiveness evaluation index system based on the theory of low-carbon economy, and the index weight coefficient is determined by the entropy weight method, based on the traditional ideal solution. The gray theory was introduced to establish the gray ideal correlation analysis evaluation model.The cross-sectional data of Shanxi Province from 2006 to 2015 was empirically studied, and the comprehensive evaluation results proposed countermeasures to improve the low carbon competitiveness of Shanxi Province.
Responding to global changes and promoting low-carbon development has become an important issue in the development of all countries in the world today. In order to systematically and effectively evaluate the development of regional lowcarbon competitiveness, the DPSIR model is used to establish a low-carbon competitiveness evaluation index system based on the theory of low-carbon economy, and the index weight coefficient is determined by the entropy weight method, based on the traditional ideal solution. The gray theory was introduced to establish the gray ideal correlation analysis evaluation model.The cross-sectional data of Shanxi Province from 2006 to 2015 was empirically studied, and the comprehensive evaluation results proposed countermeasures to improve the low carbon competitiveness of Shanxi Province.
引文
[1]韩蕾,吴杰.湖北省低碳竞争力评价及提升研究——基于试点五省的比较[J].湖北农业科学,2015,54(5):1239-1243.
[2]晏永刚,马铭.基于AHP-EM-TOPSIS组合评价方法的区域低碳竞争力评价研究——以重庆市实证评价研究为例[J].科技管理研究,2015(7):39-45.
[3]LEE H,GILLIVRAY M,BEGLEY A,et al.The climate competitiveness index 2010:National progress in the low carbon economy technical report[R].2010-04-01.
[4]BOWEN R E,RILEY C.Socio-economic indicators and integrated coastal management[J].Ocean&Coastal Management,2003,46(3-4):299-312.
[5]PEARCE D,HAMILTON K,ATKINSON G.Measuring sustainable development:progress on indicators[J].Environment and Development Economics,1996,1(1):85-101.
[6]朱婧,汤争争,刘学敏,等.基于DPSIR模型的低碳城市发展评价——以济源市为例[J].城市问题,2012(12):42-47.
[7]邵超峰,鞠美庭.基于DPSIR模型的低碳城市指标体系研究[J].生态经济(中文版),2010(10):95-99.
[8]李进涛,谭术魁,汪文雄.基于DPSIR模型的城市土地集约利用时空差异的实证研究——以湖北省为例[J].中国土地科学,2009,23(3):49-54.
[9]张文旭,王大庆,王宏燕.黑龙江垦区低碳城镇指标体系初探[J].东北农业大学学报(社会科学版),2011,9(3):23-27.
[10]魏道江.灰色关联分析在施工企业投标项目选择中的应用[J].襄樊学院学报,2009,30(5):41-44.
[11]崔东红,尚思彤.灰色关联模型在投标前期决策中的应用——基于层次熵值组合赋权的研究[J].沈阳工业大学学报(社会科学版),2012,5(2):149-154.
[2]晏永刚,马铭.基于AHP-EM-TOPSIS组合评价方法的区域低碳竞争力评价研究——以重庆市实证评价研究为例[J].科技管理研究,2015(7):39-45.
[3]LEE H,GILLIVRAY M,BEGLEY A,et al.The climate competitiveness index 2010:National progress in the low carbon economy technical report[R].2010-04-01.
[4]BOWEN R E,RILEY C.Socio-economic indicators and integrated coastal management[J].Ocean&Coastal Management,2003,46(3-4):299-312.
[5]PEARCE D,HAMILTON K,ATKINSON G.Measuring sustainable development:progress on indicators[J].Environment and Development Economics,1996,1(1):85-101.
[6]朱婧,汤争争,刘学敏,等.基于DPSIR模型的低碳城市发展评价——以济源市为例[J].城市问题,2012(12):42-47.
[7]邵超峰,鞠美庭.基于DPSIR模型的低碳城市指标体系研究[J].生态经济(中文版),2010(10):95-99.
[8]李进涛,谭术魁,汪文雄.基于DPSIR模型的城市土地集约利用时空差异的实证研究——以湖北省为例[J].中国土地科学,2009,23(3):49-54.
[9]张文旭,王大庆,王宏燕.黑龙江垦区低碳城镇指标体系初探[J].东北农业大学学报(社会科学版),2011,9(3):23-27.
[10]魏道江.灰色关联分析在施工企业投标项目选择中的应用[J].襄樊学院学报,2009,30(5):41-44.
[11]崔东红,尚思彤.灰色关联模型在投标前期决策中的应用——基于层次熵值组合赋权的研究[J].沈阳工业大学学报(社会科学版),2012,5(2):149-154.
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