Can expanding natural gas consumption reduce China's CO2 emissions?

被引:124
|
作者
Xu, Bin [1 ]
Lin, Boqiang [2 ]
机构
[1] Jiangxi Univ Finance & Econ, Sch Stat, Nanchang 330013, Jiangxi, Peoples R China
[2] Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Natural gas consumption; CO2; emissions; Nonparametric additive regression model; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; INPUT-OUTPUT; PANEL-DATA; ADDITIVE REGRESSION; COAL CONSUMPTION; URBANIZATION; EFFICIENCY; PEAK; INDUSTRIALIZATION;
D O I
10.1016/j.eneco.2019.04.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
China is now the world's largest emitter of carbon dioxide (CO2), thus leading to China facing enormous pressure on CO2 emission reduction. Natural gas is a high thermal and low-emission energy. Expanding natural gas consumption cannot only meet the growing demand for energy consumption but also optimize energy consumption structure. Therefore, many scholars have investigated the effect of natural gas consumption on CO2 emissions. However, ignoring a large number of nonlinear relationships between economic variables, the vast majority of existing studies use traditional linear models to explore the relationships between natural gas consumption and CO2 emissions. In order to make up for the gap in existing research, this paper uses the nonparametric additive regression model with data-driven features to investigate the relationships between the two. The results show that natural gas consumption has an inverted "U-shaped" nonlinear effect on CO2 emissions in the eastern region, but a positive "U-shaped" nonlinear effect in the central and western regions. The linear impact of natural gas consumption on CO2 emissions in the eastern and central regions is higher than that in the western region, due to the differences in resource availability and energy prices, as well as natural gas consumption. Therefore, during the process of promoting natural gas consumption, the central and local governments should adopt heterogeneous measures at different stages of development. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:393 / 407
页数:15
相关论文
共 50 条
  • [41] Reducing China's energy consumption and CO2 emissions by more efficient use of energy
    Sun, Jiaxing
    Ma, Linwei
    Ni, Weidou
    Zheng, Li
    2013 INTERNATIONAL CONFERENCE ON MATERIALS FOR RENEWABLE ENERGY AND ENVIRONMENT (ICMREE), VOLS 1-3, 2013, : 802 - 808
  • [42] Uncertainty of energy consumption and CO2 emissions in the building sector in China
    Guo, Yangyang
    Uhde, Helena
    Wen, Wen
    SUSTAINABLE CITIES AND SOCIETY, 2023, 97
  • [43] The impact of household consumption on energy use and CO2 emissions in China
    Feng, Zhen-Hua
    Zou, Le-Le
    Wei, Yi-Ming
    ENERGY, 2011, 36 (01) : 656 - 670
  • [44] Spatiotemporal characteristics of consumption based CO2 emissions from China's power sector
    Su, Shenshen
    Fang, Xuekun
    Zhao, Jinyang
    Hu, Jianxin
    RESOURCES CONSERVATION AND RECYCLING, 2017, 121 : 156 - 163
  • [45] Predicting China's Energy Consumption and CO2 Emissions by Employing a Novel Grey Model
    Wang, Meixia
    ENERGIES, 2024, 17 (21)
  • [46] China's growing CO2 emissions -: A race between increasing consumption and efficiency gains
    Peters, Glen P.
    Weber, Christopher L.
    Guan, Dabo
    Hubacek, Klaus
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2007, 41 (17) : 5939 - 5944
  • [47] Tourism, economic growth, energy consumption, and CO2 emissions in China
    Zhang, Jiekuan
    Zhang, Yan
    TOURISM ECONOMICS, 2021, 27 (05) : 1060 - 1080
  • [48] An estimation of energy consumption and CO2 emissions in tourism sector of China
    Pu Wu
    Peihua Shi
    Journal of Geographical Sciences, 2011, 21 : 733 - 745
  • [49] An estimation of energy consumption and CO2 emissions in tourism sector of China
    Wu Pu
    Shi Peihua
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2011, 21 (04) : 733 - 745
  • [50] Scenario analysis of household energy consumption and CO2 emissions in China
    Ning, Yadong
    Zhang, Chunbo
    Ding, Tao
    ADVANCES IN ENERGY SCIENCE AND EQUIPMENT ENGINEERING, 2015, : 1203 - 1207