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Exploring the spatial aggregation and determinants of energy intensity in guangdong province of China

机译:中国广东省能源强度的空间聚集与决定因素

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摘要

Guangdong has become the province with the second largest energy consumption and the largest gross domestic product in China. Studying the energy intensity to realise the sustainable development goal of Guangdong is important. Numerous studies on energy intensity hold a common assumption that regions are spatially independent from a static and macro perspective of the country, which may not always be the case. This study focuses on investigating the spatial aggregation and determinants of Guangdong's energy intensity using the panel data on city level from 2005 to 2016 from a spatial perspective. A novel approach based on the Global Moran-Index (Moran's I) and Durbin model was proposed to deal with the dilemma. From the analytical results, the findings are as follows: (1) Guangdong's energy intensity indicates a strong spatial correlation and clear spatial agglomeration characteristics; (2) Economic growth is the most important influential factor of energy intensity in Guangdong, whereas foreign direct investment has the least impact; (3) The spillover effect of technological progress is significant and can effectively reduce regional energy intensity. Moreover, the study provides references for the implementation of enhancing energy utilisation efficiency. (C) 2020 Elsevier Ltd. All rights reserved.
机译:广东已成为该省最大的能源消耗和中国最大的国内生产总值。研究了实现广东可持续发展目标的能源强度很重要。众多关于能量强度的研究占据了地区在空间上独立于该国的静态和宏观视角,这可能并不总是如此。本研究侧重于使用2005年至2016年的城市级别的小组数据调查广东能源强度的空间聚集和决定因素。提出了一种基于全球莫兰指数(Moran I)和Durbin模型的新型方法,以处理困境。从分析结果来看,调查结果如下:(1)广东的能量强度表示强烈的空间相关性和清晰的空间聚集特性; (2)经济增长是广东能源强度最重要的影响因素,而外国直接投资则影响最小; (3)技术进步的溢出效应显着,可有效降低区域能源强度。此外,该研究提供了提高能源利用效率的实施。 (c)2020 elestvier有限公司保留所有权利。

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