What matters for carbon emissions in regional sectors? A China study of extended STIRPAT model

被引:159
|
作者
Yang, Lixia [1 ]
Xia, Hao [2 ]
Zhang, Xiaoling [3 ]
Yuan, Shaofeng [2 ]
机构
[1] Zhejiang Univ Finance & Econ, Sch Publ Adm, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Gongshang Univ, Dept Land Resources Management, Hangzhou, Zhejiang, Peoples R China
[3] City Univ Hong Kong, Dept Publ Policy, Urban Res Grp, Tat Chee Ave, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
CO2; emissions; Extended STIRPAT model; Climatic factor; Zhejiang Province; DIOXIDE EMISSIONS; CO2; EMISSIONS; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; CLIMATE-CHANGE; DRIVING FACTORS; IMPACT; URBANIZATION; POPULATION; INCOME;
D O I
10.1016/j.jclepro.2018.01.116
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The surge in energy consumption and CO2 (carbon dioxide) emissions is exacerbating global warming. The Chinese government has promised to reduce CO2 emission by 60%-65% per unit of GDP over the 2005 level by around 2030. Analyzing the factors influencing CO2 emissions is one of the key aspects involved in effectively reducing greenhouse gas emissions. In this paper, we add climatic factors based on socio-economic factors, and adopt the extended STIRPAT model to investigate the mechanism driving emissions by the co-action of natural and socio-economic factors. The results show that the 1995-2014 emissions in China's Zhejiang province had an upward trend with growth rates varying between intermediate periods. The order of the factors' elasticity coefficients is urbanization rate (0.181) > GDP per capita (0.180) > population (0.177) > energy intensity (0.170) > trade openness (0.170) > cooling degree days (0.127) > mean temperature anomaly (0.116). Economic development and urbanization were the main factors promoting CO2 emissions in 1996-1999, while economic development and foreign trade were the main factors in 2000-2014. Policy makers should pay more attention to keeping a healthy pace of economic development, introducing more low energy consumption and low pollution enterprises and encouraging technological innovation. Improving the quality of urbanization, guiding a sustainable lifestyle, adjusting the structure of foreign trade and curbing energy intensity are also expected to reduce emissions. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:595 / 602
页数:8
相关论文
共 50 条
  • [1] Study on regional differences in carbon emissions based on STIRPAT model
    Liu, Junjie
    Jia, Xingmei
    [J]. ADVANCES IN ASIA-PACIFIC LOW CARBON ECONOMY, 2010, : 39 - 44
  • [2] Development of an extended STIRPAT model to assess the driving factors of household carbon dioxide emissions in China
    Yu, Shiwang
    Zhang, Qi
    Li Hao, Jian
    Ma, Wenting
    Sun, Yao
    Wang, Xuechao
    Song, Yu
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 325
  • [3] EMPIRICAL STUDY ON THE IMPACT OF ENVIRONMENTAL REGULATION ON CARBON EMISSIONS BASED ON EXTENDED STIRPAT MODEL
    Wang, Ran
    Sun, Tao
    [J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (10): : 7514 - 7522
  • [4] Driving factors analysis of agricultural carbon emissions based on extended STIRPAT model of Jiangsu Province, China
    Xiong, Chuanhe
    Chen, Shuang
    Xu, Liting
    [J]. GROWTH AND CHANGE, 2020, 51 (03) : 1401 - 1416
  • [5] Regional-Level Carbon Emissions Modelling and Scenario Analysis: A STIRPAT Case Study in Henan Province, China
    Zhang, Pengyan
    He, Jianjian
    Hong, Xin
    Zhang, Wei
    Qin, Chengzhe
    Pang, Bo
    Li, Yanyan
    Liu, Yu
    [J]. SUSTAINABILITY, 2017, 9 (12)
  • [6] Impact of affluence and fossil energy on China carbon emissions using STIRPAT model
    Yulong Zhang
    Qingyu Zhang
    Binbin Pan
    [J]. Environmental Science and Pollution Research, 2019, 26 : 18814 - 18824
  • [7] Driving Factors Analysis of Carbon Dioxide Emissions in China Based On STIRPAT Model
    Zhao Qiao-zhi
    Yan Qing-you
    [J]. RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4, 2013, 734-737 : 1910 - 1914
  • [8] Impact of affluence and fossil energy on China carbon emissions using STIRPAT model
    Zhang, Yulong
    Zhang, Qingyu
    Pan, Binbin
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (18) : 18814 - 18824
  • [9] The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model
    Huang, Junbing
    Li, Xinghao
    Wang, Yajun
    Lei, Hongyan
    [J]. Technological Forecasting and Social Change, 2021, 173
  • [10] Analysis of Carbon Dioxide Emissions of Buildings in Different Regions of China Based on STIRPAT Model
    Cong, Xilong
    Zhao, Meijiao
    Li, Longxi
    [J]. 9TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING (ISHVAC) JOINT WITH THE 3RD INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT (COBEE), 2015, 121 : 645 - 652