Investigating the Determinants of the Growth of the New Energy Industry: Using Quantile Regression Approach

被引:8
作者
Xu, Bin [1 ]
Lin, Boqiang [2 ]
机构
[1] Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Collaborat Innovat Ctr Energy Econ & Energy Polic, Fujian, Peoples R China
[2] Xiamen Univ, Sch Management, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Fujian, Peoples R China
关键词
Influencing factors; New energy industry; Quantile regression approach; INPUT-OUTPUT TABLE; FEED-IN TARIFF; RENEWABLE ENERGY; ECONOMIC-GROWTH; CO2; EMISSIONS; STOCK-PRICES; PANEL-DATA; CHINA; CONSUMPTION; IMPACTS;
D O I
10.5547/01956574.44.2.bixu
中图分类号
F [经济];
学科分类号
02 ;
摘要
Expanding the supplies of new energy can not only reduce CO2 emissions, but also alleviate energy shortage. This paper applies the quantile regression to investigate the new energy industry in China. The results show that economic growth exerts the greatest effect on the new energy industry in the lower 10th quantile province. This is because these provinces have the developed economies, demand for a higher ecological environment and new energy resources. Foreign energy dependence has a minimal impact on the new energy industry in the 25th-50th quantile province, due to their minimal oil importation. The contribution of technological progress to the upper 90th quantile province is the lowest, because their R&D capabilities are the weakest. The impact of energy consumption structure decreases in steps from the lower 10th quantile provinces to the upper 90th quantile provinces. The agricultural sector promotes the new energy industry in most provinces.
引用
收藏
页码:241 / 258
页数:18
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共 66 条
  • [51] Asymmetric and extreme influence of energy price changes on renewable energy stock performance
    Xia, Tongshui
    Ji, Qiang
    Zhang, Dayong
    Han, Jinhong
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 241
  • [52] Investigating drivers of CO2 emission in China's heavy industry: A quantile regression analysis
    Xu, Bin
    Lin, Boqiang
    [J]. ENERGY, 2020, 206
  • [53] Do we really understand the development of China's new energy industry?
    Xu, Bin
    Lin, Boqiang
    [J]. ENERGY ECONOMICS, 2018, 74 : 733 - 745
  • [54] A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?
    Xu, Bin
    Lin, Boqiang
    [J]. ENERGY POLICY, 2016, 98 : 328 - 342
  • [55] How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models
    Xu, Bin
    Lin, Boqiang
    [J]. ENERGY ECONOMICS, 2015, 48 : 188 - 202
  • [56] Assessing CO2 emissions in China's iron and steel industry: Evidence from quantile regression approach
    Xu, Renjing
    Xu, Liang
    Xu, Bin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 152 : 259 - 270
  • [57] Feasibility and economic analysis of a renewable energy powered special town in China
    Ye, Bin
    Yang, Peng
    Jiang, Jingjing
    Miao, Lixin
    Shen, Bo
    Li, Ji
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2017, 121 : 40 - 50
  • [58] The Spatial Deployment of Renewable Energy Based on China's Coal-heavy Generation Mix and Inter-regional Transmission Grid
    Yi, Bo-Wen
    Eichhammer, Wolfgang
    Pfluger, Benjamin
    Fan, Ying
    Xu, Jin-Hua
    [J]. ENERGY JOURNAL, 2019, 40 (04) : 45 - 74
  • [59] Technology development strategies and policy support for the solar energy industry under technological turbulence
    Yun, Sunyoung
    Lee, Joosung
    Lee, Sungjoo
    [J]. ENERGY POLICY, 2019, 124 : 206 - 214
  • [60] The relationship between renewable energy consumption and trade openness: New evidence from emerging economies
    Zeren, Feyyaz
    Akkus, Hilmi Tunahan
    [J]. RENEWABLE ENERGY, 2020, 147 : 322 - 329