Determination of the factors that influence increments in CO2 emissions in Jiangsu, China using the SDA method

被引:83
|
作者
Xu, Shi-Chun [1 ]
Zhang, Le [1 ]
Liu, Yuan-Tao [1 ]
Zhang, Wen-Wen [1 ]
He, Zheng-Xia [2 ]
Long, Ru-Yin [1 ]
Chen, Hong [1 ]
机构
[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Peoples R China
[2] Jiangsu Normal Univ, Commercial Sch, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
Jiangsu; CO2; emissions; Energy consumption; SDA method; STRUCTURAL DECOMPOSITION ANALYSIS; CARBON-DIOXIDE EMISSIONS; GREENHOUSE-GAS EMISSIONS; INPUT-OUTPUT; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; DRIVING FORCES; INTENSITY; DRIVERS; INDUSTRY;
D O I
10.1016/j.jclepro.2016.10.161
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Using the structural decomposition analysis (SDA) method, we decomposed the factors affecting the increments in CO2 emissions in China's Jiangsu Province. A comparative analysis of these factors at the holistic, sectoral, and sub-sectoral levels revealed that the effects related to the province's economic growth; in particular, the transfers-out and investment effects greatly increased Jiangsu's CO2 emissions. Overall, the import and export effects increased the emissions, reflecting the deteriorating foreign trade structure from the perspective of the emissions reduction. The energy intensity reduced Jiangsu's CO2 emissions greatly, whereas the energy structure had only a slight effect, which shows the high energy efficiency and inappropriate energy structure. The technology effect had a relatively slight reducing impact on the CO2 emissions compared with the other effects, so the input and output efficiency in Jiangsu had not yet been significantly improved. On the whole, the transfers-out, investment, and export effects increased the CO2 emissions in all sectors and subsectors, whereas the other effects on the increments in Jiangsu's CO2 emissions in the sectors and industrial subsectors differed greatly. Some policy implications arising from our study results are discussed. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3061 / 3074
页数:14
相关论文
共 50 条
  • [41] Key Factors for Measurement of CO2 Emissions
    Lengkong, Indah
    Froese, Jens
    INFORMATION TECHNOLOGY IN ENVIRONMENTAL ENGINEERING (ITEE2013), 2014, : 209 - 221
  • [42] Influence of trade on national CO2 emissions
    Munksgaard, Jesper
    Pade, Lise-Lotte
    Minx, Jan
    Lenzen, Manfred
    INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2005, 23 (04) : 324 - 336
  • [43] The Impact of Multi-Dimensional Urbanization on CO2 Emissions: Empirical Evidence from Jiangsu, China, at the County Level
    Zhai, Jun
    Kong, Fanbin
    SUSTAINABILITY, 2024, 16 (07)
  • [44] FORECASTING CO2 EMISSIONS FOR TURKEY BY USING THE GREY PREDICTION METHOD
    Yilmaz, Hamid
    Yilmaz, Mustafa
    SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, 2013, 31 (02): : 141 - 148
  • [45] Life-cycle CO2 Emissions and Their Driving Factors in Construction Sector in China
    CUI Can
    WANG Zhen
    BIN Guoshu
    Chinese Geographical Science, 2019, 29 (02) : 293 - 305
  • [46] Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis
    Wang, Guokui
    Chen, Xingpeng
    Zhang, Zilong
    Niu, Chaolan
    SUSTAINABILITY, 2015, 7 (10) : 14408 - 14426
  • [47] Analysis of influencing factors of the CO2 emissions in China: Nonparametric additive regression approach
    Wen, Lei
    Shao, Hengyang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 694
  • [48] Life-cycle CO2 Emissions and Their Driving Factors in Construction Sector in China
    Can Cui
    Zhen Wang
    Guoshu Bin
    Chinese Geographical Science, 2019, 29 : 293 - 305
  • [49] Life-cycle CO2 Emissions and Their Driving Factors in Construction Sector in China
    Cui Can
    Wang Zhen
    Bin Guoshu
    CHINESE GEOGRAPHICAL SCIENCE, 2019, 29 (02) : 293 - 305
  • [50] Analyses of impacts of China's CO2 emissions factors based on STIRPAT model
    Cao Qun
    Jiao Jianling
    Jin Juliang
    MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 3781 - +