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- W3067893670 abstract "Investment of clean energy industry aims at developing clean alternative energy sources to substitute fossil fuels, the consumption of which leads to climate change and air pollution. However, how the supply and demand of steam coal affect the investment remains an extremely understudied issue, as the extant research focuses on crude oil, while steam coal satisfies most of the energy demand in emerging economies like China. This study empirically investigates the time-varying co-movements between steam coal prices and clean energy stock indices in China at the sectoral level; the former denotes the supply and demand, and the latter represents the investment. Five clean energy sectors are considered, including geothermal power, hydrogen power, nuclear power, solar power and wind power. The studied period is from Jan 2, 2008 to Feb 28, 2019. The analysis is carried out using a VAR-DCC-GARCH framework. The empirical findings indicate the presence of significant bi-directional volatility spillover between the steam coal market and the clean energy stocks. We further portray and explain the dynamic conditional correlation among steam coal prices, clean energy sectoral indices and an environmental under the fluctuating China's stock markets. Based on the empirical evidence, we provide policy implications to facilitate the development of the clean energy industry." @default.
- W3067893670 created "2020-08-24" @default.
- W3067893670 creator A5007202295 @default.
- W3067893670 creator A5047457262 @default.
- W3067893670 creator A5081976284 @default.
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- W3067893670 date "2020-12-01" @default.
- W3067893670 modified "2023-10-13" @default.
- W3067893670 title "How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China" @default.
- W3067893670 cites W1423399227 @default.
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- W3067893670 cites W1849215025 @default.
- W3067893670 cites W1914652792 @default.
- W3067893670 cites W1940768431 @default.
- W3067893670 cites W1966268097 @default.
- W3067893670 cites W1969932452 @default.
- W3067893670 cites W1974983948 @default.
- W3067893670 cites W1977480757 @default.
- W3067893670 cites W1977900532 @default.
- W3067893670 cites W1985392547 @default.
- W3067893670 cites W1993569651 @default.
- W3067893670 cites W1994547093 @default.
- W3067893670 cites W2004173611 @default.
- W3067893670 cites W2006035278 @default.
- W3067893670 cites W2007528270 @default.
- W3067893670 cites W2008548148 @default.
- W3067893670 cites W2011315976 @default.
- W3067893670 cites W2014783212 @default.
- W3067893670 cites W2022680132 @default.
- W3067893670 cites W2023096441 @default.
- W3067893670 cites W2034704161 @default.
- W3067893670 cites W2038046247 @default.
- W3067893670 cites W2038973004 @default.
- W3067893670 cites W2040981563 @default.
- W3067893670 cites W2045564168 @default.
- W3067893670 cites W2055760237 @default.
- W3067893670 cites W2070189258 @default.
- W3067893670 cites W2128220588 @default.
- W3067893670 cites W2130764525 @default.
- W3067893670 cites W2194496320 @default.
- W3067893670 cites W2309679978 @default.
- W3067893670 cites W2331765209 @default.
- W3067893670 cites W2333876181 @default.
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- W3067893670 cites W2505517328 @default.
- W3067893670 cites W2514792508 @default.
- W3067893670 cites W2520176624 @default.
- W3067893670 cites W2541655534 @default.
- W3067893670 cites W2543387907 @default.
- W3067893670 cites W2544894511 @default.
- W3067893670 cites W2586222876 @default.
- W3067893670 cites W2597669948 @default.
- W3067893670 cites W2621048240 @default.
- W3067893670 cites W2684010151 @default.
- W3067893670 cites W2724268467 @default.
- W3067893670 cites W2731428228 @default.
- W3067893670 cites W2748846909 @default.
- W3067893670 cites W2761125196 @default.
- W3067893670 cites W2782538705 @default.
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- W3067893670 cites W2802668156 @default.
- W3067893670 cites W2805555206 @default.
- W3067893670 cites W2885212353 @default.
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- W3067893670 cites W2894849497 @default.
- W3067893670 cites W2895625351 @default.
- W3067893670 cites W2898048510 @default.
- W3067893670 cites W2903011922 @default.
- W3067893670 cites W2904807522 @default.
- W3067893670 cites W2905152531 @default.
- W3067893670 cites W2905624149 @default.
- W3067893670 cites W2905790121 @default.
- W3067893670 cites W2906839298 @default.
- W3067893670 cites W2910230884 @default.
- W3067893670 cites W2911789466 @default.
- W3067893670 cites W2913348641 @default.
- W3067893670 cites W2914460926 @default.
- W3067893670 cites W2921439464 @default.
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- W3067893670 cites W3121421445 @default.
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- W3067893670 doi "https://doi.org/10.1016/j.resourpol.2020.101788" @default.
- W3067893670 hasPublicationYear "2020" @default.
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