The impact of industrial agglomeration on ecological efficiency: An empirical analysis based on 244 Chinese cities

被引:60
作者
Wu, Kun [1 ]
You, Kairui [1 ]
Ren, Hong [1 ]
Gan, Lei [1 ]
机构
[1] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing 400044, Peoples R China
关键词
Industrial agglomeration; Ecological efficiency; Agglomeration effect; Super-epsilon-based measure model; Dynamic spatial panel Durbin model; EPSILON-BASED MEASURE; ECO-EFFICIENCY; ECOSYSTEM SERVICES; EMISSIONS EVIDENCE; ENERGY EFFICIENCY; ECONOMIES; POLLUTION; MODEL; DEA;
D O I
10.1016/j.eiar.2022.106841
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improving ecological efficiency is an integral part of the pursuit of high-quality economic development, and industrial agglomeration is a significant mechanism affecting ecological efficiency. This study measured the ecological efficiency of 244 Chinese cities from 2005 to 2017 using the super-epsilon-based measure model. Then, the impacts of industrial agglomeration on ecological efficiency and regional heterogeneity were empirically tested using dynamic spatial panel Durbin models based on the panel data of these cities. Finally, a mediating effect model was used to examine the role of the agglomeration effect between industrial agglomeration and ecological efficiency. There is a significant inverted U-shaped relationship between industrial agglomeration and ecological efficiency, and the level of ecological efficiency in most cities is smaller than the "agglomeration inflection point." In addition, the agglomeration effect is an important way for industrial agglomeration to influence ecological efficiency. With an increase in industrial agglomeration, the aggregation effect is transformed into a crowding effect, especially in the southeastern coastal area of China, where the crowding effect has already appeared. Therefore, this study argues that in order to improve ecological efficiency, it is necessary to formulate differentiated policies to minimize the crowding effect according to the regional development status.
引用
收藏
页数:12
相关论文
共 62 条
[1]   Industrial Symbiosis and Energy Efficiency in European Process Industries: A Review [J].
Branca, Teresa Annunziata ;
Fornai, Barbara ;
Colla, Valentina ;
Pistelli, Maria Ilaria ;
Faraci, Eros Luciano ;
Cirilli, Filippo ;
Schroeder, Antonius Johannes .
SUSTAINABILITY, 2021, 13 (16)
[2]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[3]   Impacts of industrial agglomeration on pollution and ecological efficiency-A spatial econometric analysis based on a big panel dataset of China's 259 cities [J].
Chen, Chaofan ;
Sun, Yawen ;
Lan, Qingxin ;
Jiang, Feng .
JOURNAL OF CLEANER PRODUCTION, 2020, 258
[4]   Industrial agglomeration and CO2 emissions: Evidence from 187 Chinese prefecture-level cities over 2005-2013 [J].
Chen, Dengke ;
Chen, Shiyi ;
Jin, Hao .
JOURNAL OF CLEANER PRODUCTION, 2018, 172 :993-1003
[5]   An extended time series (2000-2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration [J].
Chen, Zuoqi ;
Yu, Bailang ;
Yang, Chengshu ;
Zhou, Yuyu ;
Yao, Shenjun ;
Qian, Xingjian ;
Wang, Congxiao ;
Wu, Bin ;
Wu, Jianping .
EARTH SYSTEM SCIENCE DATA, 2021, 13 (03) :889-906
[6]   The value of the world's ecosystem services and natural capital [J].
Costanza, R ;
dArge, R ;
deGroot, R ;
Farber, S ;
Grasso, M ;
Hannon, B ;
Limburg, K ;
Naeem, S ;
ONeill, RV ;
Paruelo, J ;
Raskin, RG ;
Sutton, P ;
vandenBelt, M .
NATURE, 1997, 387 (6630) :253-260
[7]   Eco-efficiency measurement as an approach to improve the sustainable development of municipalities: A case study in the Midwest of Brazil [J].
de Araujo, Rildo Vieira ;
Espejo, Robert Armando ;
Constantino, Michel ;
de Moraes, Paula Martin ;
Taveira, Jose Carlos ;
Lira, Francisco Sousa ;
Herrera, Gabriel Paes ;
Costa, Reginaldo .
ENVIRONMENTAL DEVELOPMENT, 2021, 39
[8]  
Drucker J.M., 2007, CES0731 US BUR CENS, DOI [10.2139/ssrn.1103067, DOI 10.2139/SSRN.1103067]
[9]  
ECMWF (European Centre for Medium-Range Weather Forecasts), 2019, EUROPEAN SPACE AGENC
[10]   The effect of manufacturing agglomerations on smog pollution [J].
Fang, Jiayu ;
Tang, Xue ;
Xie, Rui ;
Han, Feng .
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS, 2020, 54 :92-101