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| 1 |
ID:
125793
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2013.
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| Summary/Abstract |
To establish a reasonable system and mechanism for Chinese energy prices, we use the Granger causality test, Hodrick-Prescott (HP) filter and time difference analysis to research the pricing relationship between Chinese and international energy prices. We find that Chinese and international crude oil prices changed synchronously while Chinese refined oil prices follow the changes of international oil prices with the time difference being about 1 month to 2 months. Further, Australian coal prices Granger causes Chinese coal prices, and there is a high correlation between them. The U.S. electricity price is influenced by the WTI crude oil price, the U.S. gasoline price and the HenryHub gas price. Due to the unreasonable price-setting mechanism and regulation from the central government, China's terminal market prices for both electricity and natural gas do not reflect the real supply-demand situation. This paper provides quantitative results on the correlation between Chinese and international energy prices to better predict the impact of international energy price fluctuations on China's domestic energy supply and guide the design of more efficient energy pricing policies. Moreover, it provides references for developing countries to improve their energy market systems and trading, and to coordinate domestic and international energy markets.
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| 2 |
ID:
099324
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2010.
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| Summary/Abstract |
This paper evaluates coal, petroleum, natural gas, nuclear energy and renewable energy resources as energy alternatives for China through use of a hierarchical decision model. The results indicate that although coal is still the major preferred energy alternative, it is followed closely by renewable energy. The sensitivity analysis indicates that the most critical criterion for energy selection is the current energy infrastructure. A hierarchical decision model is used, and expert judgments are quantified, to evaluate the alternatives. Criteria used for the evaluations are availability, current energy infrastructure, price, safety, environmental impacts and social impacts.
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| 3 |
ID:
153055
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| Summary/Abstract |
The spatial distribution of population and economic activities has important impacts on both economic growth and the environment. This paper uses a slack-based measure to estimate the total factor environmental efficiency (TFEE) of 286 Chinese prefectural-and-above cities for the period 2002–2013. In particular, the relationship between city size and TFEE is investigated. The findings also show an inverted U-shaped relationship between TFEE and city size, which implies an optimal city size of 16.68 million residents in China. According to this estimate, most Chinese cities may be undersized due to the migration restrictions of the hukou registration system and, hence, suffer from great environmental efficiency losses. The estimated low average TFEE value of Chinese cities also suggests the large potential for efficiency improvement. Thus, government policies should focus on relaxing migration restrictions and encouraging the development of large cities.
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| 4 |
ID:
127300
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2014.
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| Summary/Abstract |
This paper analyzes the long-term relationships between hydropower generation and climate factors (precipitation), hydropower generation capacity (installed capacity of hydropower station) to quantify the vulnerability of renewable energy production in China for the case of hydropower generation. Furthermore, this study applies Grey forecasting model to forecast precipitation in different provinces, and then sets up different scenarios for precipitation based on the IPCC Special Report on Emission Scenarios and results from PRECIS (Providing Regional Climate projections for Impacts Studies) model. The most important result found in this research is the increasing hydropower vulnerability of the poorest regions and the main hydropower generation provinces of China to climate change. Other main empirical results reveal that the impacts of climate change on the supply of hydropower generation in China will be noteworthy for the society. Different scenarios have different effects on hydropower generation, of which A2 scenario (pessimistic, high emission) has the largest. Meanwhile, the impacts of climate change on hydropower generation of every province are distinctly different, of which the Southwest part has the higher vulnerability than the average level while the central part lower.
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