Investigating the role of high-tech industry in reducing China's CO2 emissions: A regional perspective

被引:94
作者
Xu, Bin [1 ,2 ]
Lin, Boqiang [3 ]
机构
[1] Jiangxi Univ Finance & Econ, Sch Stat, Nanchang 330013, Jiangxi, Peoples R China
[2] Jiangxi Univ Finance & Econ, Res Ctr Appl Stat, Nanchang 330013, Jiangxi, Peoples R China
[3] Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
The high-tech industry; CO2; emissions; STIRPAT model; CARBON-DIOXIDE EMISSIONS; GREENHOUSE-GAS EMISSIONS; ENERGY-EFFICIENCY; EMPIRICAL-EVIDENCE; ELECTRIC VEHICLES; RENEWABLE ENERGY; BIOMASS RESIDUES; SYSTEM; OPTIMIZATION; IMPACT;
D O I
10.1016/j.jclepro.2017.12.174
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China currently is the largest emitter of carbon dioxide (CO2) in the world. Moreover, total energy consumption and CO2 emissions in China will continue to increase due to the rapid advance of industrialization and urbanization. Therefore, vigorously developing the high-tech industry becomes an inevitable choice to reduce CO2 emissions at the moment or in the future. However, most of the existing literature analyzes the impact of the high-tech industry on emission mitigation from an aggregate perspective. Few studies have focused on regional differences in China. Based on 1999-2015 panel data of China's 30 provinces, this study uses the STIRPAT model to explore the influence of the high-tech industry on CO2 emission reduction in China from a regional perspective. The results show that the high tech industry is beneficial to reduce CO2 emissions. Moreover, the impact intensity of the high-tech industry in the eastern region is higher than those in the central and western regions due to significant differences in R&D funding, R&D personnel investments and high-tech purchase expenditure. The study's findings not only contribute to the existing literature, but also worthy of adequate attention from China's policy makers. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:169 / 177
页数:9
相关论文
共 56 条
[21]   Optimal coordination of variable renewable resources and electric vehicles as distributed storage for energy sustainability [J].
Haddadian, Ghazale ;
Khalili, Nasrin ;
Khodayar, Mohammad ;
Shahidehpour, Mohammad .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2016, 6 :14-24
[22]   Moving beyond equipment and to systems optimization: techno-economic analysis of energy efficiency potentials in industrial steam systems in China [J].
Hasanbeigi, Ali ;
Harrell, Greg ;
Schreck, Bettina ;
Monga, Pradeep .
JOURNAL OF CLEANER PRODUCTION, 2016, 120 :53-63
[23]   Quantifying environmental performance of biomass energy [J].
Herbert, G. M. Joselin ;
Krishnan, A. Unni .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 59 :292-308
[24]  
Hiraishi T., 2014, 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands
[25]   Current status, challenges, and perspectives of Sichuan's renewable energy development in Southwest China [J].
Hu, Yanlong ;
Huang, Weibin ;
Wang, Jing ;
Chen, Shijun ;
Zhang, Jie .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 57 :1373-1385
[26]   A new application of the UltraBattery to hybrid fuel cell vehicles [J].
Huang, Pei-Hsing ;
Kuo, Jenn-Kun ;
Huang, Chun-Yen .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2016, 40 (02) :146-159
[27]   Carbon sequestration potential via energy harvesting from agricultural biomass residues in Mekong River basin, Southeast Asia [J].
Ko, Chun-Han ;
Chaiprapat, Sumate ;
Kim, Lee-Hyung ;
Hadi, Pejman ;
Hsu, Shu-Chien ;
Leu, Shao-Yuan .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 68 :1051-1062
[28]   Assessment of emerging energy-efficiency technologies for the pulp and paper industry: a technical review [J].
Kong, Lingbo ;
Hasanbeigi, Ali ;
Price, Lynn .
JOURNAL OF CLEANER PRODUCTION, 2016, 122 :5-28
[29]   Sustaining the low-carbon emission development in Asia and beyond: Sustainable energy, water, transportation and low-carbon emission technology [J].
Lee, Chew Tin ;
Hashim, Haslenda ;
Ho, Chin Siong ;
Fan, Yee Van ;
Klemes, Jiri Jaromir .
JOURNAL OF CLEANER PRODUCTION, 2017, 146 :1-13
[30]   Representing spatial technology diffusion in an energy system optimization model [J].
Leibowicz, Benjamin D. ;
Krey, Volker ;
Grubler, Arnulf .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2016, 103 :350-363