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China is vast, abundant and particularly plentiful in energy sources, due to which it has obtained remarkable achievements on economy. However, its energy structure is too simple to support the sustainable development of economy as coal still contributes to the majority of energy consumption in China. As a consequence, Renewable Energy Law was enacted in 2005, and Chinese government announced a series of policies to boom renewable energy industry. Subsidy policy is one of the major forms of these policies. This paper aims to present these subsidy policies and to analyze their effects according to relative data in energy industry 2005–2013, to find out the deficiencies and enlighten possible policy improvements. The original intentions and abstracts of 5 different levels of subsidy related policies are summarized, and the effects in reality are attentively analyzed. It can be concluded that subsidy policies have different short-term effect on different renewable energies, and they all show some negative effect to a certain extent. 6 core problems are summarized in this paper, and remedy strategies are suggested. [ABSTRACT FROM AUTHOR]

As one of the most populous provinces in China, Sichuan is also the most important regions for ecology protection and rural poverty alleviation in the upper reaches of the Yangtze River. The rural energy industry of Sichuan Province has a national ecological and political significance for reducing excessive utilization for fossil fuels, protecting ecosystem, fostering equal development for urban-rural economy. However, this industry of Sichuan remains to be deteriorated by multiple risks. Hitherto, risk management research on rural energy industry is rather limited. Therefore, according to the fault tree analysis and catastrophe model, this study has implemented a complete and comprehensive risk management procedure on rural energy industry of Sichuan Province based on data of 31 provinces ranging from 2008 to 2012 in China. Based on the fault tree analysis for risk identification, four categories of risks have been revealed: financial risks, service networks risks, energy provision risks as well as enterprises risks. Furthermore, 13 risk indicators have been identified because they have imposed negative impacts upon rural energy industry in Sichuan to a large extent. The catastrophe model for risk evaluation has presented that the risk value of Sichuan rural energy industry (A) reaches the highest risk level. Simultaneously, financial risks (M1), energy provision risks (M3), enterprises risks (M4) have also been ranked as the highest risk grade. The result of risk response indicates that X9 (poor construction for wind energy provision projects), X13 (low output values for energy-saving stoves and kangs production enterprises), M4 (enterprises risks) have the priorities for risk response. This paper suggests that it is urgent and paramount to establish an exclusive risk supervising center which can integrate government ministries, financial agencies, universities and research institutions, non-government organizations via joint participation and interactive communication in risk identification, risk evaluation, risk response as well as risk supervising. [ABSTRACT FROM AUTHOR]

Despite reforms, China still largely applies the cost plus pricing mechanism for the energy sector. Government administrative energy pricing leads to energy price distortions, which could result in not only the excessive and wasteful energy consumption, but also environmental deterioration, thereby undermining energy conservation and emission abatement. Using fossil-fuel subsidies as a proxy for the level of energy price distortions, this paper estimates the subsidy of 22 Chinese departments during the period 2006–2010, and adopts the price-gap approach to analyze the impacts of subsidy removal on energy consumption and CO 2 emissions for the various sectors and energy types. The results demonstrate that removing energy subsidies would reduce energy consumption and emissions by 3.77% and 2.85%, respectively, but the effects vary across sectors. The transport, storage and post sector and the electricity, gas and water supply sector are much more affected by energy subsidies removal than other sectors. With respect to energy types, fuel oil and natural gas are sensitive to subsidies, indicating the magnitude of their consumption. This suggests that removing subsidies on these fuel types could significantly reduce CO 2 emissions. Finally, we comprehensively discuss relevant policy issues on energy price formation reform. [ABSTRACT FROM AUTHOR]