The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Sean Casten - One of the best experts on this subject based on the ideXlab platform.
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a better renewable portfolio standard
The Electricity Journal, 2009Co-Authors: Sean CastenAbstract:It's time to throw out our RPS, throw out our Energy Efficiency Resource Standard, throw out all our definitions of eligible technologies, and replace them all with a single, clear incentive paid to any power plant that reduces our demand for Fossil resources, pro rata with the Fossil Energy reduction: a Fossil Energy Reduction Standard.
Zhuang Miao - One of the best experts on this subject based on the ideXlab platform.
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improvement pathway of Energy consumption structure in china s industrial sector from the perspective of directed technical change
Energy Economics, 2018Co-Authors: Zhenbing Yang, Shuai Shao, Lili Yang, Zhuang MiaoAbstract:Abstract The improvement in Energy consumption structure is of great significance to the green transformation of economic development. In this paper, to explore the reasonable improvement pathway of Energy consumption structure in China's industrial sector, we treat Fossil Energy and non-Fossil Energy as two different factors into the production function, and conduct a stochastic frontier analysis to estimate the factor-biased degree of production technical change and the substitution elasticities between factors. The results show that the production technology of China's industrial sector is more biased to Fossil Energy and labor and deviated from non-Fossil Energy and capital. There is a substitution relationship between capital and labor, as well as labor and Fossil Energy, and the relationship between capital and Fossil Energy is complementary. We find that the Energy consumption structure in most industrial sub-sectors has a large room for improvement. We propose that the Chinese government should promote the market-oriented reform of Energy pricing mechanism to improve the Energy consumption structure based on the differentiated characteristics of the Energy consumption structures of different industrial sub-sectors.
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the elasticity of the potential of emission reduction to Energy saving definition measurement and evidence from china
Ecological Indicators, 2017Co-Authors: Yong Geng, Shuai Shao, Zhuang Miao, Jichuan ShengAbstract:Abstract Based on Energy and CO2 emission efficiencies, this paper proposes a definition of the elasticity of the potential of emission reduction to Energy saving (Eperes), and measures the elasticity in China’s 30 provincial regions. Although Eperes is a relative definition, it can be used (1) to measure the amount of reduced CO2 emissions per unit Fossil Energy saving, (2) to reflect the effectiveness of Fossil Energy saving for CO2 emission reduction in different regions, and (3) to provide decision-making criteria for selecting pathways for emission reductions in different regions. The results show that compared with Energy saving, emission reduction is a more serious issue in China. This indicates that Energy saving policies have been highly effective since their implementation during the 11th “Five-Year Plan”. With respect to provincial disparities, the emission reductions caused by Fossil Energy saving are not significant in Beijing, Shanghai, and Guangdong. Fujian province has significant Eperes, indicating that emission reduction causing by Fossil Energy saving is effective. Eperes has been increasing over time in Hunan and Hubei. Hainan’s Eperes has remained less than 1, indicating that its emission-reduction effect of Fossil Energy saving is worse than in other provinces. Moreover, the elasticity of Eastern China is greater than that of Central China and Western China. This finding sheds light on pathway selection for Energy saving and emission reduction in China: it would be more appropriate to encourage Fossil Energy saving in Eastern China, and to promote clean Energy use (e.g., water electricity and solar Energy) in Central China and Western China.
Jiangbo Geng - One of the best experts on this subject based on the ideXlab platform.
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the dynamic dependence of Fossil Energy investor sentiment and renewable Energy stock markets
Energy Economics, 2019Co-Authors: Yingjie Song, Jiangbo GengAbstract:Abstract This study investigates the dynamic directional information spillover of return and volatility between the Fossil Energy market, investor sentiment towards renewable Energy and the renewable Energy stock market using the connectedness network approach. Empirical results show that the spillover effects of the volatility system are generally stronger than that of the return system, which suggest that risk transmission among the markets is more obvious. In both systems, the impact of the Fossil Energy market, especially crude oil, on the renewable Energy stock market is greater than the impact of investor sentiment on the renewable Energy stock market. This finding shows that the renewable Energy stock market is closely related to the Fossil Energy market. Furthermore, the rolling window approach is adopted to examine the time-varying information spillover among them. The dynamic findings suggest that investor sentiment towards renewable Energy can explain the return and volatility of renewable Energy stock to a certain degree.
Jinhong Han - One of the best experts on this subject based on the ideXlab platform.
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asymmetric and extreme influence of Energy price changes on renewable Energy stock performance
Journal of Cleaner Production, 2019Co-Authors: Tongshui Xia, Dayong Zhang, Jinhong HanAbstract:Abstract Promoting the development of renewable Energy has become the key factor to solve the problems of Energy and climate change issues. However, its development is largely constrained by the prices of traditional Fossil Energy. This paper explores the influence of various Fossil Energy price changes on renewable Energy stock returns using a network approach. Specifically, a positive and negative returns network and value-at-risk (VaR) network are constructed separately for identifying the asymmetric and extreme information spillover. Our findings show the Fossil Energy–renewable Energy network system has a relatively high level of interdependence. The electricity market behaves as the major contributor to the changes of renewable Energy returns in the returns connectedness network, while oil and coal contribute most to the changes of renewable Energy returns in the VaR connectedness network. The dynamic results show that the contributions of Fossil Energy price changes to renewable Energy returns have strong time-varying pattern with high volatility over time. The total connectedness in the positive returns network is slightly stronger than that in the negative returns network for most of the time during our sample period.
Yingjie Song - One of the best experts on this subject based on the ideXlab platform.
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the dynamic dependence of Fossil Energy investor sentiment and renewable Energy stock markets
Energy Economics, 2019Co-Authors: Yingjie Song, Jiangbo GengAbstract:Abstract This study investigates the dynamic directional information spillover of return and volatility between the Fossil Energy market, investor sentiment towards renewable Energy and the renewable Energy stock market using the connectedness network approach. Empirical results show that the spillover effects of the volatility system are generally stronger than that of the return system, which suggest that risk transmission among the markets is more obvious. In both systems, the impact of the Fossil Energy market, especially crude oil, on the renewable Energy stock market is greater than the impact of investor sentiment on the renewable Energy stock market. This finding shows that the renewable Energy stock market is closely related to the Fossil Energy market. Furthermore, the rolling window approach is adopted to examine the time-varying information spillover among them. The dynamic findings suggest that investor sentiment towards renewable Energy can explain the return and volatility of renewable Energy stock to a certain degree.