Impacts of oriented technologies and economic factors on China's industrial climate mitigation

被引:9
作者
Wang, Miao [1 ]
Feng, Chao [2 ]
机构
[1] Xiamen Univ, Sch Management, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Fujian, Peoples R China
[2] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400030, Peoples R China
基金
中国国家自然科学基金;
关键词
Driving forces; Production-theory decomposition analysis; Index decomposition analysis; Five-year plan; Emission abatement; CARBON-DIOXIDE EMISSIONS; CO2; EMISSIONS; ENERGY INTENSITY; DECOMPOSITION ANALYSIS; DRIVING FORCES; INDEX DECOMPOSITION; STIRPAT MODEL; LMDI DECOMPOSITION; CONSUMPTION; EFFICIENCY;
D O I
10.1016/j.jclepro.2019.06.134
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The industrial sector is characterized by high energy consumption and high carbon emissions. It is of great significance to clarify the determinants of industrial CO2 emissions for emissions abatement policy making. For this purpose, a comprehensive decomposition framework that can quantify the impacts of both oriented technologies and economic factors on CO2 emissions is developed. By applying the proposed decomposition framework, this paper investigates the determinants of China's industrial CO2 emissions. The main findings show that, during the study period, (1) investment scale expansion was the leading factor promoting emissions growth; (2) against our expectations, efforts for energy structure adjustment failed to curb emissions but had marginal promoting effects on emissions growth; (3) energy-oriented and output-oriented technologies were indispensable contributors to emissions mitigation, followed by decreases in investment efficiency, potential energy intensity, and the CO2 emission coefficient; and (4) energy use efficiency and production efficiency changes usually exerted moderate influences on industrial CO2 emissions, and their influencing directions were sensitive in different sub-industries and Five-Year Plan periods. In most situations, the inhibiting effects could not counteract the promoting effects. Based on these empirical findings, policy recommendations to further reduce industrial CO2 emissions are provided. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1016 / 1028
页数:13
相关论文
共 86 条
[1]   CO2 emissions of Turkish manufacturing industry: A decomposition analysis [J].
Akbostanci, Elif ;
Tunc, Gul Ipek ;
Turut-Asik, Serap .
APPLIED ENERGY, 2011, 88 (06) :2273-2278
[2]   The energy intensity in Lithuania during 1995-2009: A LMDI approach [J].
Balezentis, Alvydas ;
Balezentis, Tomas ;
Streimikiene, Dalia .
ENERGY POLICY, 2011, 39 (11) :7322-7334
[3]   Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach [J].
Chen, Jiandong ;
Xu, Chong ;
Cui, Lianbiao ;
Huang, Shuo ;
Song, Malin .
ENERGY ECONOMICS, 2019, 78 :589-597
[4]   Decomposition and decoupling analysis of CO2 emissions in OECD [J].
Chen, Jiandong ;
Wang, Ping ;
Cui, Lianbiao ;
Huang, Shuo ;
Song, Malin .
APPLIED ENERGY, 2018, 231 :937-950
[5]   Changes in energy-related carbon dioxide emissions of the agricultural sector in China from 2005 to 2013 [J].
Chen, Jiandong ;
Cheng, Shulei ;
Song, Malin .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 94 :748-761
[6]   Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China [J].
Chen, Liang ;
Yang, Zhifeng ;
Chen, Bin .
ENERGIES, 2013, 6 (05) :2319-2337
[7]   Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis [J].
Chen, Liyun ;
Duan, Qi .
NATURAL HAZARDS, 2016, 84 :S267-S277
[8]  
Chen S., 2011, China Economic Quarterly, V10, P735, DOI DOI 10.13821/J.CNKI.CEQ.2011.03.012
[9]   A comparison of carbon dioxide (CO2) emission trends among provinces in China [J].
Du, Kerui ;
Xie, Chunping ;
Ouyang, Xiaoling .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 73 :19-25
[10]   Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework [J].
Du, Kerui ;
Lin, Boqiang .
ENERGY, 2015, 90 :570-577