Evaluation of contagious effects of China's wind power industrial policies

被引:28
作者
Hsiao, Cody Yu-Ling [1 ,2 ]
Sheng, Ni [1 ]
Fu, Shenze [1 ]
Wei, Xinyang [1 ]
机构
[1] Macau Univ Sci & Technol, Sch Business, Taipa, Macau, Peoples R China
[2] Australian Natl Univ, Crawford Sch Publ Policy, Canberra, ACT, Australia
关键词
Contagion tests; Wind power sector; NDRC notices; National energy policies; China; RENEWABLE ENERGY; ECONOMIC-IMPACT; PANEL-DATA; TESTS; PERFORMANCE; CONSUMPTION; INNOVATION; GROWTH; MARKET;
D O I
10.1016/j.energy.2021.121760
中图分类号
O414.1 [热力学];
学科分类号
摘要
In order to promote the sustainable development of the wind power industry, the Chinese Government has issued a series of related industrial policies. The promulgation of these policies not only greatly promotes the development of China's wind power sector, but may also generate potential contagion effects on other industries. This paper uses contagion tests based on linear dependence and higher-order co-moment statistics, such as co-skewness, co-volatility, and co-kurtosis, etc., to examine the contagion impacts of 8 relevant policies on 10 major economic industries in China for the period 2001e2018. The empirical results show that the wind power notices provide significant evidence of policy contagion than the national energy policies. Tail risk is more important in driving policy transmission as evident by third and fourth order co-moments which are significantly stronger than the correlation channel. It is not surprising that the financial sector is the industry most affected by the wind power sector in China, followed by the sectors of industrials and utilities which are closely related to the wind power. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:14
相关论文
共 37 条
[11]   A New Class of Tests of Contagion With Applications [J].
Fry, Renee ;
Martin, Vance L. ;
Tang, Chrismin .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2010, 28 (03) :423-437
[12]   Joint tests of contagion with applications [J].
Fry-McKibbin, Renee ;
Hsiao, Cody Yu-Ling ;
Martin, Vance L. .
QUANTITATIVE FINANCE, 2019, 19 (03) :473-490
[13]   Extremal dependence tests for contagion [J].
Fry-McKibbin, Renee ;
Hsiao, Cody Yu-Ling .
ECONOMETRIC REVIEWS, 2018, 37 (06) :626-649
[14]   Potential contribution of fusion power generation to low-carbon development under the Paris Agreement and associated uncertainties [J].
Gi, Keii ;
Sano, Fuminori ;
Akimoto, Keigo ;
Hiwatari, Ryoji ;
Tobita, Kenji .
ENERGY STRATEGY REVIEWS, 2020, 27
[15]   Assessment of China's renewable energy contribution during the 12th Five Year Plan [J].
Hong, Lixuan ;
Zhou, Nan ;
Fridley, David ;
Raczkowski, Chris .
ENERGY POLICY, 2013, 62 :1533-1543
[16]   Debt and financial market contagion [J].
Hsiao, Cody Yu-Ling ;
Morley, James .
EMPIRICAL ECONOMICS, 2022, 62 (04) :1599-1648
[17]   A joint test of policy contagion with application to the solar sector [J].
Hsiao, Cody Yu-Ling ;
Wei, Xinyang ;
Sheng, Ni ;
Shao, Chengwu .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 141
[18]   Measuring contagion effects of nuclear energy policies and events [J].
Hsiao, Cody Yu-Ling ;
Ou, Yinlin ;
Sheng, Ni ;
Wei, Xinyang .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (08) :11510-11525
[19]   The contagious effect of China's energy policy on stock markets: The case of the solar photovoltaic industry [J].
Hsiao, Cody Yu-Ling ;
Ai, Dan ;
Wei, Xinyang ;
Sheng, Ni .
RENEWABLE ENERGY, 2021, 164 :74-86
[20]   The contagious effects on economic development after resuming construction policy for nuclear power plants in Coastal China [J].
Hsiao, Cody Yu-Ling ;
Chen, Hsing Hung .
ENERGY, 2018, 152 :291-302