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Analysis of regional energy economic efficiency and its influencing factors: A case study of Yangtze river urban agglomeration

机译：区域能源经济效率分析及其影响因素 - 以长江城市集聚为例

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摘要

The current economic development is based on high input and high consumption, which is contrary to the current green development concept. Improving energy economic efficiency is a powerful way to balance economic development and energy consumption. This paper focuses on estimation of energy economic efficiency of Yangtze River Urban Agglomeration (YRUA). The Slack-Based Model (SBM) was used to estimate the energy economic efficiency of each city by using data from 2008 to 2017. Moreover, in order to better explore the constraints of energy economic efficiency improvement, the energy economic efficiency is decomposed into pure technical efficiency and scale efficiency. Combined with Moran index, the spatial distribution characteristics of energy efficiency in urban agglomeration are studied. The Tobit regression model was used to analysis on influencing factors of the energy economic efficiency. The results showed that the energy economic efficiency of the YRUA first declined and then increased overall. Particularly, the economic efficiency of Suzhou and Wuxi has been in the effective state of the evaluation unit, while the energy efficiency of Yangzhou, Taizhou and Zhenjiang is relatively low. From the perspective of its decomposition index, scale efficiency is the main factor restricting the efficiency of energy economy. On the one hand, the energy economic efficiency of urban agglomeration has a certain spatial aggregation, and its spatial distribution is positively correlated. On the other hand, the effect of technological progress on energy economic efficiency is not significant. The industrial structure is negatively correlated with the energy economic efficiency. Therefore, the industrial structure, economic development level and urbanization level can be promoted to improve energy economic efficiency.
机译：目前的经济发展基于高投入和高消耗，这与当前的绿色发展概念相反。提高能源经济效率是平衡经济发展和能源消耗的强大方法。本文重点介绍长江城市集聚能源经济效率（Yrua）。基于SLACK的模型（SBM）用于通过使用2008年至2017年的数据来估算每个城市的能量经济效率。此外，为了更好地探索能源经济效率提高的限制，能源经济效率被分解成纯净技术效率和规模效率。结合莫兰指数，研究了城市集聚中能源效率的空间分布特征。 Tobit回归模型用于分析能源经济效率的影响因素。结果表明，Yrua的能量经济效率首先下降，然后整体增加。特别是，苏州和无锡的经济效率一直处于评价单位的有效状态，而扬州，台州和镇江的能源效率相对较低。从其分解指数的角度来看，规模效率是限制能源经济效率的主要因素。一方面，城市凝聚的能量经济效率具有一定的空间聚集，其空间分布正相关。另一方面，技术进步对能源经济效率的影响并不重要。产业结构与能源经济效率负相关。因此，可以提高产业结构，经济发展水平和城市化水平，提高能源经济效益。

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