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WU, YA (3) answer(s).
 
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ID:   150714


Driving factors behind coal demand in China from 1997 to 2012: an empirical study of input-output structural decomposition analysis / Wu, Ya; Zhang, Wanying   Journal Article
Wu, Ya Journal Article
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Summary/Abstract With the rapid development of economy, especially the constant progress in industrialisation and urbanisation, China's energy consumption has increased annually. Coal consumption, which accounts for about 70% of total energy consumption, is of particular concern. Hence, it is crucial to study the driving factors behind coal demand in China. This work uses an input-output structural decomposition analysis (I-O SDA) model to decompose the increments of coal demand in China from 1997 to 2012 into the sum of the weighted average for eight driving factors from three aspects, including: domestic demand, foreign trade and industrial upgrading. Results show that: during the research period, the demand for coal increases by 153.3%, which is increased by 185.4% and 76.4% respectively due to the driving forces of domestic demand and foreign trade; in addition, industrial upgrading can effectively restrain the growth in coal demand with a contribution rate of −108.6%. On this basis, we mainly studied the driving factors of coal demand in six high energy-consuming industries, namely the electrical power, energy processing, metals, mining, building materials and chemical industries. Finally, we proposed targeted policy suggestions for the realisation of energy conservation and emissions reduction in China.
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2
ID:   105787


Estimates of the potential for energy conservation in the Chine / Lin, Boqiang; Wu, Ya; Zhang, Li   Journal Article
Zhang, Li Journal Article
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Publication 2011.
Summary/Abstract The study evaluates the energy saving potential of the Chinese steel industry by studying its potential future energy efficiency gap. In order to predict the future energy efficiency gap, a multivariate regression model combined with risk analysis is developed to estimate future energy intensity of China's steel industry. It is found that R&D intensity, energy saving investment, labor productivity and industry concentration are all important variables that affect energy intensity. We assess the possible measures as to how China's steel industry can narrow the energy efficiency gap with Japan by means of scenario analysis. Using Japan's current energy efficiency level as baseline, the energy saving potential of China's steel industry is more than 200 million ton coal equivalent in 2008, and it would fall to zero in 2020. However, if greater efforts were made to conserve energy, it would be possible to narrow down the energy efficiency gap between China and Japan by around 2015. Finally, using the results of the scenario analysis, future policy priorities for energy conservation in China's steel industry are assessed in this paper.
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3
ID:   112314


Evaluation of electricity saving potential in China's chemical / Lin, Boqiang; Zhang, Li; Wu, Ya   Journal Article
Zhang, Li Journal Article
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Publication 2012.
Summary/Abstract The purpose of this study is to investigate the future electricity saving potential of China's chemical industry. Applying cointegration, we find that there is a long-run equilibrium relationship between electricity intensity and technology, labor, electricity prices and industry structure. The result shows that more active electricity saving policies are objectively required to be implemented in order to reduce the electricity intensity in China's chemical industry as well as to shrink future electricity saving potential. For this purpose, we have adopted a scenario analysis method to predict the electricity intensity and the electricity saving amount under two different scenarios. It is found that energy conservation policy provides a continuous impetus for reducing the electricity saving potential. In terms of electricity intensity of the chemical industry, China's intensity is approaching the level in Japan, with the gap narrowing significantly by the year 2020. Finally, based on the elasticities obtained in the long-term equilibrium equation, the paper suggests a range of future policy priorities and directions.
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