Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

被引:10
作者
Chai, Ziyuan [1 ,2 ,3 ]
Simayi, Zibibula [1 ,2 ,3 ]
Yang, Zhihan [4 ]
Yang, Shengtian [1 ,2 ,3 ,5 ]
机构
[1] Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China
[2] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China
[3] Key Lab Wisdom City & Environm Modeling, Urumqi 830046, Peoples R China
[4] Univ Edinburgh, Sch Math, Stat Data Sci, Edinburgh EH8 9YL, Midlothian, Scotland
[5] Beijing Normal Univ, Sch Geog & Remote Sensing Sci, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Xinjiang; the Ebinur Lake Basin; direct carbon emissions; household; driving factors; STIRPAT model; CO2; EMISSIONS; POLICY RECOMMENDATIONS; ENERGY; CHINA; CONSUMPTION; DECOMPOSITION; INDUSTRY; SYSTEM; OUTPUT;
D O I
10.3390/su13031339
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987-2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents' year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [31] Examining factors driving household carbon emissions from elderly families-Evidence from Japan
    Wang, Yueying
    Liu, Qinming
    FINANCE RESEARCH LETTERS, 2024, 65
  • [32] Impacts of Urbanization and Technology on Carbon Dioxide Emissions of Yangtze River Economic Belt at Two Stages: Based on an Extended STIRPAT Model
    Liu, Yiping
    Han, Yuling
    SUSTAINABILITY, 2021, 13 (13)
  • [33] EMPIRICAL STUDY ON THE IMPACT OF ENVIRONMENTAL REGULATION ON CARBON EMISSIONS BASED ON EXTENDED STIRPAT MODEL
    Wang, Ran
    Sun, Tao
    FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (10): : 7514 - 7522
  • [34] Uncovering the Driving Factors of Carbon Emissions in an Investment Allocation Model of China's High-Carbon and Low-Carbon Energy
    Jiang, Shumin
    Yang, Chen
    Guo, Jingtao
    Ding, Zhanwen
    Tian, Lixin
    Zhang, Jianmei
    SUSTAINABILITY, 2017, 9 (06)
  • [35] Factors influencing embodied carbon emissions of China's building sector: An analysis based on extended STIRPAT modeling
    Zhu, Chen
    Chang, Yuan
    Li, Xiaodong
    Shan, Mingyang
    ENERGY AND BUILDINGS, 2022, 255
  • [36] Analyzing the driving effect of influence factors on CO2 emissions using the STIRPAT model in Tianjin of China
    Zhao, Tao
    Gou, Xue
    RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4, 2013, 734-737 : 1896 - 1900
  • [37] The estimation of influencing factors for carbon emissions based on EKC hypothesis and STIRPAT model: Evidence from top 10 countries
    Thio, Ellen
    Tan, MeiXuen
    Li, Liang
    Salman, Muhammad
    Long, Xingle
    Sun, Huaping
    Zhu, Bangzhu
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 24 (09) : 11226 - 11259
  • [38] CO2 emissions from Iran's power sector and analysis of the influencing factors using the stochastic impacts by regression on population, affluence and technology (STIRPAT) model
    Noorpoor, A. R.
    Kudahi, S. Nazari
    CARBON MANAGEMENT, 2015, 6 (3-4) : 101 - 116
  • [39] The effects of carbon-related news on carbon emissions and carbon transfer from a global perspective: Evidence from an extended STIRPAT model
    Zhou, Wenwen
    Cao, Ximeng
    Dong, Xuefan
    Zhen, Xuan
    JOURNAL OF CLEANER PRODUCTION, 2023, 425
  • [40] The Major Driving Factors of Carbon Emissions in China and Their Relative Importance: An Application of the LASSO Model
    Shum, Wai Yan
    Ma, Ning
    Lin, Xiaomei
    Han, Tingting
    FRONTIERS IN ENERGY RESEARCH, 2021, 9