Revealing stylized empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in China

被引:198
作者
Ahmad, Munir [1 ]
Zhao, Zhen-Yu [1 ]
Li, Heng [2 ]
机构
[1] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Sch Econ & Management, Beijing 102206, Peoples R China
[2] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Peoples R China
关键词
Construction sector; Urbanization; Energy consumption; CO2; emissions; Modified STIRPAT; Dynamic common correlated effects mean group; GREENHOUSE-GAS EMISSIONS; CAUSAL RELATIONSHIP; REGIONAL-ANALYSIS; ERROR-CORRECTION; UNIT ROOTS; PANEL-DATA; IMPACT; TESTS; COINTEGRATION; POPULATION;
D O I
10.1016/j.scitotenv.2018.12.112
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Since the construction sector, interacting with urbanization and economic growth, boosts energy consumption and CO2 emissions, and so challenges environmental sustainability. This work systematically analyzes empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in a modified version of 'Stochastic Impacts by Regression on Population, Affluence, and Technology' model. An aggregate panel of China along with its three disaggregated regional panels is estimated through augmented mean group and dynamic common correlated effects mean group estimators. The core empirics are as follows. First, energy consumption, gross regional product (GRP), urbanization, construction sector, and CO2 emissions established a long-run equilibrium relationship. Second, energy consumption growth, GRP growth, urbanization, and construction sector growth exerted significant positive impacts on CO2 emissions labeled as; energy, growth, urbanization, and construction driven emissions push impacts, respectively. Third, urbanization revealed negative, neutral, and positive contributions to GRP growth for western zone, intermediate zone, and eastern zone termed as; urbanization-driven growth deceleration, neutrality, and acceleration impacts, respectively. Likewise, GRP growth positively influenced urbanization. Fourth, energy consumption growth and construction sector growth exhibited significant positive impacts on GRP growth characterized as; energy and construction driven growth acceleration impacts, respectively. Also, GRP growth imparted a significant positive influence on energy consumption growth and construction sector growth. Fifth, CO2 emissions growth induced a significant negative influence in GRP growth entitled as, emissions-driven growth deceleration impact. Sixth, construction sector growth imparted a significant positive contribution to urbanization named as construction-driven urban migration impact. Whereas, urbanization revealed positive contribution to construction sector growth called as urbanization-driven construction expansion impact. Seventh, urbanization and construction sector growth presented significant positive contributions to energy consumption growth, namely, urbanization and construction abundance driven energy utilization impacts, respectively. Finally, construction sector-augmented Environmental Kuznets Curve hypothesis is found valid. Based on empirics, policy relevance is proposed. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:1085 / 1098
页数:14
相关论文
共 53 条
[1]   Causal linkages between energy investment and economic growth: a panel data modelling analysis of China [J].
Ahmad, Munir ;
Zhao, Zhen-Yu .
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2018, 13 (08) :363-374
[2]   Empirics on linkages among industrialization, urbanization, energy consumption, CO2 emissions and economic growth: a heterogeneous panel study of China [J].
Ahmad, Munir ;
Zhao, Zhen-Yu .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (30) :30617-30632
[3]   Greenhouse gas emissions in the construction industry: An analysis and evaluation of a concrete supply chain [J].
Akan, Mahmure Ovul Arioglu ;
Dhavale, Dileep G. ;
Sarkis, Joseph .
JOURNAL OF CLEANER PRODUCTION, 2017, 167 :1195-1207
[4]   Dynamic impact of urbanization, economic growth, energy consumption, and trade openness on CO 2 emissions in Nigeria [J].
Ali, Hamisu Sadi ;
Law, Siong Hook ;
Zannah, Talha Ibrahim .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (12) :12435-12443
[5]  
[Anonymous], 2016, DISCUSSION PAPER SER
[6]   Structural Changes, Common Stochastic Trends, and Unit Roots in Panel Data [J].
Bai, Jushan ;
Carrion-I-Silvestre, Josep Lluis .
REVIEW OF ECONOMIC STUDIES, 2009, 76 (02) :471-501
[7]   THE LAGRANGE MULTIPLIER TEST AND ITS APPLICATIONS TO MODEL-SPECIFICATION IN ECONOMETRICS [J].
BREUSCH, TS ;
PAGAN, AR .
REVIEW OF ECONOMIC STUDIES, 1980, 47 (01) :239-253
[8]   Malthus living in a slum: Urban concentration, infrastructure and economic growth [J].
CastelIs-Quintana, David .
JOURNAL OF URBAN ECONOMICS, 2017, 98 :158-173
[9]  
Chen J.N., 2016, REPORT STATE COUNCIL
[10]   Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors [J].
Chudik, Alexander ;
Pesaran, M. Hashem .
JOURNAL OF ECONOMETRICS, 2015, 188 (02) :393-420