Has the smart city construction reduced energy consumption? Evidence from China

被引:1
作者
Xu, Shulin [1 ]
Xiong, Yunjun [2 ]
机构
[1] Guangdong Univ Finance & Econ, Sch Culture Tourism & Geog, Guangzhou, Peoples R China
[2] Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai, Peoples R China
关键词
Smart city construction; Energy consumption; DID; Technological innovation; Q4; Q48; Q56; ENVIRONMENTAL KUZNETS CURVE; CLIMATE-CHANGE; CO2; EMISSIONS; URBANIZATION; DECENTRALIZATION; PRODUCTIVITY; INTENSITY; CITIES; URBAN; AIR;
D O I
10.1108/MEQ-04-2024-0160
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
PurposeThis study investigates the impact of smart city construction (SCC) on urban energy consumption.Design/methodology/approachThe focus is on a panel of 285 prefecture level cities in China from 2010 to 2021. The empirical evidence is based on the difference-in-difference (DID) method. We uses per capita coal consumption as a proxy variable to measure urban energy consumption energy consumption. We set the SCC as a policy dummy variable, with pilot cities set to 1 and non-pilot cities set to 0. We also selected a series of control variables that affect urban energy consumption, such as urbanization rate, labor force, road density, number of college students per 10000 people, regional economic development level and so on.Findings(1) SCC significantly reduces urban energy consumption, and the conclusion still holds after conducting robustness testing; (2) SCC reduces urban energy consumption is mainly effective in those cities with larger scale, stronger human capital, larger financial services and better information infrastructure construction; (3) The technological innovation and industrial structure upgrading are the main mechanisms for the SSC policy to reduce urban energy consumption.Originality/valueThe results in this study provide evidence for achieving an environmentally friendly society.
引用
收藏
页码:1798 / 1814
页数:17
相关论文
共 35 条
[1]   Oil price, energy consumption and CO2 emissions as growth determinants: a PVAR system GMM approach [J].
Ajayi, Temitope Abraham .
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2024, 18 (06) :2086-2114
[2]   Exploring the bi-directional long run relationship between energy consumption and life quality [J].
Al-mulali, Usama .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 :824-837
[3]   CO2 emissions, research and technology transfer in China [J].
Ang, James B. .
ECOLOGICAL ECONOMICS, 2009, 68 (10) :2658-2665
[4]   Energy transition, natural resource consumption and environmental degradation: The role of geopolitical risk in sustainable development [J].
Bashir, Muhammad Farhan ;
Shahbaz, Muhammad ;
Malik, Muhammad Nasir ;
Ma, Beiling ;
Wang, Jianming .
RESOURCES POLICY, 2023, 85
[5]   Searching for an Environmental Kuznets Curve in China's air pollution [J].
Brajer, Victor ;
Mead, Robert W. ;
Xiao, Feng .
CHINA ECONOMIC REVIEW, 2011, 22 (03) :383-397
[6]   Deforestation and the environmental Kuznets curve: A cross-national investigation of intervening mechanisms [J].
Ehrhardt-Martinez, K ;
Crenshaw, EM ;
Jenkins, JC .
SOCIAL SCIENCE QUARTERLY, 2002, 83 (01) :226-243
[7]  
GROSSMAN GM, 1993, MEXICO-U.S. FREE TRADE AGREEMENT, P13, DOI DOI 10.3386/W3914
[8]  
JACOBSON LS, 1993, AM ECON REV, V83, P685
[9]   Decentralization, Collusion, and Coal Mine Deaths [J].
Jia, Ruixue ;
Nie, Huihua .
REVIEW OF ECONOMICS AND STATISTICS, 2017, 99 (01) :105-118
[10]  
Kharel G., 2010, Impacts of Urbanization of Environmental Resources: A Land Use Planning Perspective