An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model

It is important to effectively reduce carbon emissions and ensure the simultaneous adjustment of economic development and environmental protection. Therefore, we used Kaya identity to screen the factors influencing carbon emissions and conducted preliminary qualitative analyses, including grey relat...

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Autores principales:	Wei Fan, Xi Luo, Jiabei Yu, Yiyang Dai
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	carbon emissions VAR model economic energy foreign trade Technology T
Acceso en línea:	https://doaj.org/article/ef0acde26a2840adafe9bc59fde58406
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spelling	oai:doaj.org-article:ef0acde26a2840adafe9bc59fde584062021-11-25T17:28:50ZAn Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model10.3390/en142277971996-1073https://doaj.org/article/ef0acde26a2840adafe9bc59fde584062021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7797https://doaj.org/toc/1996-1073It is important to effectively reduce carbon emissions and ensure the simultaneous adjustment of economic development and environmental protection. Therefore, we used Kaya identity to screen the factors influencing carbon emissions and conducted preliminary qualitative analyses, including grey relation analysis and linear regression analysis, on important variables to establish a vector autoregression (VAR) model based on their annual data to empirically analyze the influencing factors of carbon emissions. The results showed that economic growth effect, energy intensity effect and embodied carbon in foreign trade were the key factors affecting carbon emissions, among which the economic growth effect contributed the most. Accordingly, we propose countermeasures including technological innovation to reduce energy intensity, the development of new energy sources to improve energy structure, acceleration of industrial structure transfer, and optimization of trade structure.Wei FanXi LuoJiabei YuYiyang DaiMDPI AGarticlecarbon emissionsVAR modeleconomicenergyforeign tradeTechnologyTENEnergies, Vol 14, Iss 7797, p 7797 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	carbon emissions VAR model economic energy foreign trade Technology T
spellingShingle	carbon emissions VAR model economic energy foreign trade Technology T Wei Fan Xi Luo Jiabei Yu Yiyang Dai An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model
description	It is important to effectively reduce carbon emissions and ensure the simultaneous adjustment of economic development and environmental protection. Therefore, we used Kaya identity to screen the factors influencing carbon emissions and conducted preliminary qualitative analyses, including grey relation analysis and linear regression analysis, on important variables to establish a vector autoregression (VAR) model based on their annual data to empirically analyze the influencing factors of carbon emissions. The results showed that economic growth effect, energy intensity effect and embodied carbon in foreign trade were the key factors affecting carbon emissions, among which the economic growth effect contributed the most. Accordingly, we propose countermeasures including technological innovation to reduce energy intensity, the development of new energy sources to improve energy structure, acceleration of industrial structure transfer, and optimization of trade structure.
format	article
author	Wei Fan Xi Luo Jiabei Yu Yiyang Dai
author_facet	Wei Fan Xi Luo Jiabei Yu Yiyang Dai
author_sort	Wei Fan
title	An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model
title_short	An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model
title_full	An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model
title_fullStr	An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model
title_full_unstemmed	An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model
title_sort	empirical study of carbon emission impact factors based on the vector autoregression model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ef0acde26a2840adafe9bc59fde58406
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An Empirical Study of Carbon Emission Impact Factors Based on the Vector Autoregression Model

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