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首页> 外文期刊>Journal of Cleaner Production >The measurement and influences of China's urban total factor energy efficiency under environmental pollution: Based on the game cross- efficiency DEA
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The measurement and influences of China's urban total factor energy efficiency under environmental pollution: Based on the game cross- efficiency DEA

机译：环境污染下中国城市全要素能源效率的测度与影响：基于博弈交叉效率DEA

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摘要

In recent years, urban energy efficiency has received much attention from researchers. However, ignorance of the competitive relationships among regions results in inaccurate energy efficiency. Game cross efficiency data envelopment analysis (DEA), which can account for the competitive relationships, is a reliable method to measure energy efficiency. First, this paper applies game cross-efficiency DEA to analyze the urban total factor energy efficiency (UTFEE) of 26 Chinese prefectural-level cities from 2005 to 2015 under environmental constraints. Then, a comparative analysis and a concrete analysis are conducted based on the urban energy efficiency. Finally, a Tobit model is used to examine the effects of 10 potential influence factors. The measurement results show that the urban energy efficiency considering the competitive relationship is lower than the traditionally calculated efficiency. Additionally, the urban energy efficiency did not improve during the research period. Furthermore, regression analysis suggests that economic development and city scale can promote urban energy efficiency, while government expenditure, industrial structures, energy prices, foreign investments, research investments and production endowment have negative impacts on urban energy efficiency. According to our results, some implications of theory and practice are discussed for researchers and policy makers. (C) 2018 Elsevier Ltd. All rights reserved.
机译：近年来，城市能源效率受到研究人员的广泛关注。然而，对地区之间竞争关系的无知导致了能源效率的不准确。可以解释竞争关系的博弈交叉效率数据包络分析（DEA）是衡量能源效率的可靠方法。首先，本文运用博弈交叉效率DEA方法，分析了环境约束下2005年至2015年中国26个地级市的城市全要素能源效率（UTFEE）。然后，根据城市能源效率进行比较分析和具体分析。最后，使用Tobit模型检查10个潜在影响因素的影响。测量结果表明，考虑竞争关系的城市能源效率低于传统计算的效率。此外，在研究期间，城市能源效率并未提高。此外，回归分析表明，经济发展和城市规模可以促进城市能源效率，而政府支出，产业结构，能源价格，外国投资，研究投资和生产end赋对城市能源效率有负面影响。根据我们的结果，讨论了理论和实践对研究人员和决策者的一些影响。 （C）2018 Elsevier Ltd.保留所有权利。

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