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Evaluation of power input efficiency for China's typical cities based on the DEA and SFA models

机译:基于DEA和SFA模型的中国典型城市电力输入效率评估

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摘要

China is entering a rapid developmental stage of urbanisation characterised by tremendous economic development. However, many prominent problems have existed for a long time. Among these, problems on power efficiency should be addressed. The extended models of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) were used to analyse city input-output efficiency including electric power input factor for China's typical cities. First, an index system of comprehensive evaluation about city efficiency was established, and the efficiencies of China's 23 typical cities in 2006 were evaluated based on DEA, with a focus on the rationality of electric power input. We then employed SFA to analyse the city efficiency in 2006; we further extended the data to the period between 1978 and 2006 in order to avoid data limit. The analysis results show that the relative orders of city efficiencies based on the two different models have remained more or less the same except in a few cities. Finally, some reasonable suggestions for the improvement of the city power input-output efficiency in China are proposed.
机译:中国正进入以经济飞速发展为特征的城市化快速发展阶段。但是,长期以来存在许多突出的问题。其中,应解决功率效率问题。数据包络分析(DEA)和随机前沿分析(SFA)的扩展模型用于分析中国典型城市的城市投入产出效率,包括电力输入因子。首先,建立了城市效率综合评价指标体系,并基于DEA评估了2006年中国23个典型城市的效率,重点是电力输入的合理性。然后,我们使用SFA来分析2006年的城市效率。为了避免数据限制,我们将数据进一步扩展到了1978年到2006年之间。分析结果表明,除了少数几个城市以外,基于两种不同模型的城市效率的相对顺序基本保持不变。最后,提出了提高我国城市电力投入产出效率的一些合理建议。

著录项

  • 来源
    《International Journal of Global Energy Issues》 |2009年第4期|p.350-360|共11页
  • 作者单位

    School of Business Administration, North China Electric Power University, Beijing 102206, China;

    School of Business Administration, North China Electric Power University, Beijing 102206, China;

    School of Business Administration, North China Electric Power University, Beijing 102206, China;

    School of Business Administration, North China Electric Power University, Beijing 102206, China;

    School of Business Administration, North China Electric Power University, Beijing 102206, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    electric power; efficiency in city; DEA; SFA; China;

    机译:电力;城市效率;数据包络分析;SFA;中国;

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