Analysis of the natural gas demand and subsidy in China: A multi-sectoral perspective

被引:21
|
作者
Lin, Boqiang [1 ]
Li, Zhensheng [1 ]
机构
[1] Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, Sch Management, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R China
关键词
Natural gas demand; ARDL model; Elasticity; Subsidy; FOSSIL-FUEL SUBSIDIES; ENERGY DEMAND; CONSUMPTION; PRICE; INCOME; INDUSTRIALIZATION; URBANIZATION; INVESTMENT; EMISSIONS; IMPACT;
D O I
10.1016/j.energy.2020.117786
中图分类号
O414.1 [热力学];
学科分类号
摘要
Natural gas is the cleanest fossil fuel and also a more desirable energy resource for economic and social development. However, the utilization rate of natural gas in China is relatively low. Since the gas prices in China are controlled by the government, there exist nontrivial problems in the market such as price distortions and cross-subsidies. By applying an autoregressive distributed lag (ARDL) method, this paper analyzes the relationship between gas demand and variables in the residential, industrial and commercial sectors over the period 1985-2017. Furthermore, we use the price-gap method to study the theoretical price subsidy. We conclude that: (1) The residential sector is most sensitive to the change of gas price in both short-term (-0.742) and long-term (-3.050). (2) The urbanization process and income level have significant positive impacts on the demand of each sector. (3) China's natural gas subsidy amounted to CNY 73 billion in 2017, equivalent to 0.09% of GDP in that year. And due to heterogeneous demand among sectors, the residential sector receives the largest subsidy. The study provides constructive suggestions to enhance the development of China's natural gas industry and serves as a reference for the formulation of relevant policies. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] The price and income elasticity of China's natural gas demand: A multi-sectoral perspective
    Zhang, Yi
    Ji, Qiang
    Fan, Ying
    ENERGY POLICY, 2018, 113 : 332 - 341
  • [2] MULTI-SECTORAL ANALYSIS OF CONSUMER DEMAND IN POST-WAR PERIOD
    POWELL, AA
    VANHOA, T
    SOUTHERN ECONOMIC JOURNAL, 1968, 35 (02) : 109 - 120
  • [3] Generating multi-sectoral collaboration to combat HIV/AIDS in China:: A local government perspective
    Szlezák, N
    Howitt, A
    XV INTERNATIONAL AIDS CONFERENCE: POLICY AND PROGRAM IMPLEMENTATION, 2004, : 143 - 147
  • [4] Security research from a multi-disciplinary and multi-sectoral perspective
    Thunem, APJ
    COMPUTER SAFETY, RELIABILITY, AND SECURITY, PROCEEDINGS, 2005, 3688 : 381 - 389
  • [5] A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China
    Kang, Jidong
    Zhao, Tao
    Liu, Nan
    Zhang, Xin
    Xu, Xianshuo
    Lin, Tao
    ENERGY, 2014, 68 : 562 - 571
  • [6] A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province, China
    Xu, Wenhao
    Xie, Yulei
    Xia, Dehong
    Ji, Ling
    Huang, Guohe
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 298
  • [7] A multi-sectoral approach to modelling community energy demand of the built environment
    McCallum, Peter
    Jenkins, David P.
    Peacock, Andrew D.
    Patidar, Sandhya
    Andoni, Merlinda
    Flynn, David
    Robu, Valentin
    ENERGY POLICY, 2019, 132 : 865 - 875
  • [8] Multi-sectoral analysis of smarter urban nitrogen metabolism: A case study of Suzhou, China
    Beck, M. Bruce
    Chen, Chen
    Walker, Rodrigo Villarroel
    Wen, Zongguo
    Han, Jiangxue
    ECOLOGICAL MODELLING, 2023, 478
  • [9] EQUILIBRIUM, STABILITY AND GROWTH - MULTI-SECTORAL ANALYSIS - MORISHIMA,M
    KADE, G
    JAHRBUCHER FUR NATIONALOKONOMIE UND STATISTIK, 1967, 180 (2-5): : 415 - 417
  • [10] Identifying core global mental health professional competencies: A multi-sectoral perspective
    Karadzhov, Dimitar
    Lee, Joanne
    Hatton, George
    White, Ross G.
    Sharp, Laura
    Jalloh, Abdul
    Martin, Julie Langan
    CAMBRIDGE PRISMS-GLOBAL MENTAL HEALTH, 2024, 11