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Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors

机译:测量人类福祉能源强度及其影响因素的空间计量分析

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Current energy efficiency indicators (such as energy intensity) do not properly reflect the inherent relationship between “energy-environment-health”. Therefore, this study introduces the indicator of energy intensity of human well-being (EIWB) to depict the efficiency problem between energy consumption and residents’ health. In this paper, panel data of 30 provinces in mainland China from 2005 to 2016 is used to calculate the EIWB of each province and analyze its spatial distribution. Moreover, the effect of influencing factors on EIWB is investigated by using the spatial Durbin model. The results show that: (1) The EIWB presents a spatial agglomeration. The provinces with high EIWB mostly cluster in the northern China. (2) Industrial structure and energy structure have positive effects on EIWB in local area through increasing energy consumption and damaging residents’ health. (3) The effect of urbanization and income on local EIWB is significantly positive because it will promote energy consumption. (4) Industrial structure, health expenditure, foreign direct investment and technological progress have spatial spillover effects due to its significant impact on residents’ health in neighboring areas. Based on conclusions, the corresponding policy recommendations are proposed.
机译:目前的能效指标(如能量强度)不正确地反映“能量环境健康”之间的固有关系。因此,本研究介绍了人类福祉(EIWB)能源强度的指标,以描述能源消耗与居民健康之间的效率问题。本文从2005年到2016年中国大陆30个省份的小组数据用于计算每个省的EIWB并分析其空间分布。此外,通过使用空间德宾模型研究了影响因素对EIWB的影响。结果表明:(1)EIWB呈现空间聚集。高Eiwb的省份大多在中国北方集群。 (2)产业结构和能源结构通过增加能源消耗和破坏居民的健康,对局域网对欧盟的积极影响。 (3)城市化和收入对本地EIWB的影响显着积极,因为它将促进能源消耗。 (4)工业结构,卫生支出,外国直接投资和技术进步由于其对邻国居民健康的重大影响,具有空间溢出效应。根据结论,提出了相应的政策建议。

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