China's Energy Efficiency and Conservation: Sectoral by Bin Su, Elspeth Thomson PDF

By Bin Su, Elspeth Thomson

ISBN-10: 9811007357

ISBN-13: 9789811007354

ISBN-10: 9811007373

ISBN-13: 9789811007378

This short identifies numerous points of strength demanding situations confronted by way of the chinese language central/local governments, and in addition presents a chance to check how most sensible to accomplish eco-friendly development and a low-carbon transition in a constructing kingdom like China. The development of China’s carbon mitigation regulations additionally has major affects at the on-going overseas weather swap negotiations. consequently, either coverage- makers and decision-makers in China and different nations can reap the benefits of learning the demanding situations and possibilities in China’s strength development.

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Additional resources for China's Energy Efficiency and Conservation: Sectoral Analysis

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Y. Yan (2013) “The Effects of Electricity Reforms on Productivity and Efficiency of China’s Fossil-Fired Power Plants: An Empirical Analysis”. Energy Economics 40: 804–12. Gao, H. V. Biesebroeck (2014) “Effects of Deregulation and Vertical Unbundling on the Performance of China’s Electricity Generation Sector”. Journal of Industrial Economics 62: 41–76. D. (2002) “The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach”. Southern Economic Journal 68, 4: 935–46.

Acknowledgments This project received financial support from the Australian Research Council (ARC Discovery Grant) and the Research Collaboration Award at the University of Western Australia. I thank session attendants of the 23rd Annual Conference of the Association of Chinese Economics Studies Australia (2011), the 35th Annual Conference of the International Association for Energy Economics (2012), the Theo Murphy Frontier of Sciences Conference at the Australian Academy of Sciences (2012), and the Energy Studies Institute Conference at the National University of Singapore (2013) for many valuable comments.

Source TIMES model results resource supply curves, demand projections, dynamically evolving technology costs and other relevant parameters. 1). This model assumes the domestic energy prices in China will change in line with the global energy prices after 2020. Demand projections are based on historical energy demand in Shanghai from 2000–09. The compounded annual growth rates (CAGR) of different energy demands are computed across all demand sectors from 2005–09 to estimate the energy demand in 2010.

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China's Energy Efficiency and Conservation: Sectoral Analysis by Bin Su, Elspeth Thomson

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