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住宅能源环境库兹涅茨曲线的扩展:对安达卢西亚(西班牙)自治市的分位数回归。

Residential energy environmental Kuznets curve extended with non-linear temperature effects: a quantile regression for Andalusian (Spain) municipalities.

机构信息

Department of Economic Analysis and Political Economy, Faculty of Economics and Business Sciences, University of Seville, Av. Ramon y Cajal 1, 41018, Seville, Spain.

Department of Financial Economy and Operations Management, Faculty of Economics and Business Sciences, University of Seville, Av. Ramon y Cajal 1, 41018, Seville, Spain.

出版信息

Environ Sci Pollut Res Int. 2021 Sep;28(35):48984-48999. doi: 10.1007/s11356-021-13608-z. Epub 2021 Apr 30.

DOI:10.1007/s11356-021-13608-z
PMID:33928501
Abstract

The increased use of renewable energy in electricity generation has not been sufficient to reduce the associated emissions. Therefore, a better understanding of the evolution of electricity consumption may be advisable to undertake suitable energy policies. This paper contributes to this understanding by analyzing the non-linear income and temperature effects on electricity demand in the residential sector in Andalusia (Spain). To this end, panel data OLS, PCSE, and quantile regression analysis methods have been performed to provide a complete picture of the relationship between the studied variables. The results show evidence to support an inverted N-shaped relationship, with respect to income, without reaching the upper threshold point. The results also show that electricity elasticity, with respect to income, tends to increase with residential electricity consumption. It is also observed that temperature values, increasing above 22°C and temperatures decreasing below 15°C progressively, increase residential electricity consumption, the elasticity with respect to temperatures being higher for municipalities with lower residential electricity consumption. Reinforcing energy efficiency measures in the municipalities with the highest electricity consumption is recommended.

摘要

可再生能源在发电中的使用增加,仍不足以减少相关排放。因此,更好地了解电力消耗的演变情况,可能有助于制定合适的能源政策。本文通过分析安达卢西亚(西班牙)住宅部门电力需求的非线性收入和温度效应,为这种理解做出了贡献。为此,使用面板数据 OLS、PCSE 和分位数回归分析方法,全面分析了研究变量之间的关系。结果表明,收入与电力需求之间存在倒 N 形关系,但未达到上限阈值。结果还表明,收入方面的电力弹性随着住宅电力消费的增加而增加。还观察到,温度值在 22°C 以上和 15°C 以下逐渐增加,会增加住宅电力消耗,对于住宅电力消耗较低的城市,电力对温度的弹性更高。建议在电力消耗最高的城市加强能源效率措施。

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