气候变化领域集成服务门户(CCPortal): Dynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economies

CCPortal

DOI	10.1016/j.esr.2024.101363
	Dynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economies
	Pata, Ugur Korkut; Kartal, Mustafa Tevfik; Alola, Andrew Adewale; Depren, Serpil Kilic
发表日期	2024
ISSN	2211-467X
EISSN	2211-4688
起始页码	53
卷号	53
英文摘要	This study examines the dynamic effects of electricity generation (EG) on CO2 emissions from the residential sector. The study focuses on the EU-4 countries (Germany, Spain, France, and Italy), considers residential CO2 emissions as the dependent variable, and includes disaggregated level fossil and renewable EG as explanatory variables. In this context, the study runs nonlinear quantile-on-quantile (QQ) regression and Granger causality in quantiles (GQ) as the main models with daily data from January 2, 2019, to March 10, 2023, while quantile regression (QR) is used for robustness check. The findings present that in terms of CO2 emissions: (i) EG from coal, natural gas, and oil has a stimulating effect at higher quantiles in all countries; (ii) EG from hydro has an increasing effect at higher quantiles, while it has a decreasing effect at lower and middle quantiles in all countries except France; (iii) EG from solar has a dampening effect at higher quantiles in all countries except France; (iv) EG from wind has a declining effect at higher quantiles in both Spain and France; (v) both fossil and renewable energy EG have a causal effect on residential sector CO2 emissions at the disaggregated level except at some quantiles. Overall, the effect size and the causal effect of EG on CO2 emissions change for quantiles, countries, and EG sources. Therefore, the study proposes to rely on the specific EG sources for Germany and Italy (solar energy), Spain, and France (wind energy) to mitigate climate change by reducing residential CO2 emissions.
英文关键词	Residential sector; Renewable electricity; Fossil electricity; European countries; Nonlinear approaches
语种	英语
WOS研究方向	Energy & Fuels
WOS类目	Energy & Fuels
WOS记录号	WOS:001225288200001
来源期刊	ENERGY STRATEGY REVIEWS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289227
作者单位	Mustafa Kemal University; Lebanese American University; Ministry of Education of Azerbaijan Republic; Azerbaijan State University of Economics (UNEC); Lefke Avrupa University; Ministry of Education of Azerbaijan Republic; Khazar University; Inland Norway University of Applied Sciences; Yildiz Technical University
推荐引用方式 GB/T 7714	Pata, Ugur Korkut,Kartal, Mustafa Tevfik,Alola, Andrew Adewale,et al. Dynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economies[J],2024,53.
APA	Pata, Ugur Korkut,Kartal, Mustafa Tevfik,Alola, Andrew Adewale,&Depren, Serpil Kilic.(2024).Dynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economies.ENERGY STRATEGY REVIEWS,53.
MLA	Pata, Ugur Korkut,et al."Dynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economies".ENERGY STRATEGY REVIEWS 53(2024).