The impact of transportation infrastructure and industrial agglomeration on energy efficiency: Evidence from China's industrial sectors

被引:113
作者
Wang, Nian [1 ,2 ]
Zhu, Yingming [1 ,3 ]
Yang, Tongbin [1 ,3 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Jiangsu, Peoples R China
[2] Guangxi Univ Finance & Econ, Nanning 530001, Peoples R China
[3] Nanjing Univ Sci & Technol, Jiangsu Ind Cluster Res Base, Nanjing 210094, Jiangsu, Peoples R China
关键词
Transportation infrastructure; Industrial agglomeration; Energy efficiency; Threshold model; Mediating effect; URBAN AGGLOMERATION; CO2; EMISSIONS; PRODUCTIVITY; ECONOMIES; TRANSIT; INVESTMENTS; DISPARITIES; INTENSITY; LOCATION; INCREASE;
D O I
10.1016/j.jclepro.2019.118708
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Transportation infrastructure plays an essential role in stimulating demand and booming economy in China. Meanwhile, evidence suggests that the development of transportation infrastructure and the resulting industrial agglomeration are highly associated with excessive energy consumption. Under the dual tasks of economic growth and environmental protection, we aim to investigate the mechanism by which transportation infrastructure and industrial agglomeration affect industrial energy efficiency in China. Based on panel data of China's 30 provincial-level regions from 2000 to 2017, we apply the threshold panel model to verify the nonlinear relationship between transportation infrastructure and industrial energy efficiency. The mediation model is also constructed to estimate the mediating effect of industrial agglomeration in the association between transportation infrastructure and energy efficiency. The results show that there exists a nonlinear relationship between transportation infrastructure and industrial energy efficiency. Transportation infrastructure positively affects industrial energy efficiency only when a certain threshold is exceeded. Also, industrial agglomeration functions as a mediator in the relationship between transportation infrastructure and energy efficiency, indicating that transportation infrastructure not only directly affects energy efficiency, but also exerts an indirect effect through industrial agglomeration. These findings reveal the importance of developing transportation network, and seeking coordination between transportation infrastructure and industrial agglomeration. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 65 条
[1]   Roads and Innovation [J].
Agrawal, Ajay ;
Galasso, Alberto ;
Oettl, Alexander .
REVIEW OF ECONOMICS AND STATISTICS, 2017, 99 (03) :417-434
[2]   A PROCEDURE FOR RANKING EFFICIENT UNITS IN DATA ENVELOPMENT ANALYSIS [J].
ANDERSEN, P ;
PETERSEN, NC .
MANAGEMENT SCIENCE, 1993, 39 (10) :1261-1265
[3]  
[Anonymous], 2012, IND EC RES
[4]   THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].
BARON, RM ;
KENNY, DA .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) :1173-1182
[5]   Promoting sustainability of manufacturing industry through the lean energy-saving and emission-reduction strategy [J].
Cai, Wei ;
Lai, Kee-hung ;
Liu, Conghu ;
Wei, Fangfang ;
Ma, Minda ;
Jia, Shun ;
Jiang, Zhigang ;
Lv, Li .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 665 :23-32
[6]   Transit Service, Physical Agglomeration and Productivity in US Metropolitan Areas [J].
Chatman, Daniel G. ;
Noland, Robert B. .
URBAN STUDIES, 2014, 51 (05) :917-937
[7]   Do Public Transport Improvements Increase Agglomeration Economies? A Review of Literature and an Agenda for Research [J].
Chatman, Daniel G. ;
Noland, Robert B. .
TRANSPORT REVIEWS, 2011, 31 (06) :725-742
[8]   Green Infrastructure: The Effects of Urban Rail Transit on Air Quality [J].
Chen, Yihsu ;
Whalley, Alexander .
AMERICAN ECONOMIC JOURNAL-ECONOMIC POLICY, 2012, 4 (01) :58-97
[9]  
Ciccone A, 1996, AM ECON REV, V86, P54
[10]   An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries [J].
Cui, Qiang ;
Li, Ye .
APPLIED ENERGY, 2015, 141 :209-217