The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator

After several years of steady decline, carbon emissions began to rise in 2017. If this trend is not curbed as soon as possible, the efforts made for carbon emission reduction will be wasted. Although the effect that the energy consumption structure brought to carbon emissions has been studied in pie...

Full description

Bibliographic Details
Main Authors: Wei Sun, Chumeng Ren
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721002833
id doaj-872361b2a1c341e3848bf69da099af12
record_format Article
spelling doaj-872361b2a1c341e3848bf69da099af122021-05-10T04:09:48ZengElsevierEnergy Reports2352-48472021-11-01726052614The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicatorWei Sun0Chumeng Ren1Economics and Management Department, North China Electric Power University, Baoding, Hebei 071000, ChinaCorresponding author.; Economics and Management Department, North China Electric Power University, Baoding, Hebei 071000, ChinaAfter several years of steady decline, carbon emissions began to rise in 2017. If this trend is not curbed as soon as possible, the efforts made for carbon emission reduction will be wasted. Although the effect that the energy consumption structure brought to carbon emissions has been studied in pieces of literature, the limit is that they all take the ratio of coal consumption (CS) as the index of energy consumption structure. With the optimization of energy consumption structure, the index they use is no longer convincing. Shannon–Wiener diversity index (SWI) is an index used to investigate the diversity within the local flora of a plant community, and in this paper, it is innovatively used to reflect the structure of the energy consumption. To test the superiority of the new index in the study of carbon emissions, the Autoregressive Distribution Lag model (ARDL) was used, and we find out the effect of Gross Domestic Product (GDP), Urbanization Rate (UR), Trade Structure (TS) and energy consumption structure on carbon emissions in China through the data from 1985 to 2016. The results show:(1) the R2of the carbon emission model constructed by SWI is as high as 0.9938, which means the model is stable;(2)During the research period, we found the relationship between the environmental quality and the squared term of GDP per capita is a U-shaped curve, so the Environment Kuznets Curve (EKC) hypothesis is not applicable in China;(3)The results also show that the inflexion point of the U-shaped curve is delayed;(4) Urban development and the promotion of trade structure will bring the increase of carbon emissions, while the optimization of energy consumption structure will slow it down. This paper will provide new ideas for studying the impact of energy consumption structure on carbon emissions, and put forward policy suggestions.http://www.sciencedirect.com/science/article/pii/S2352484721002833Shannon–Wiener indexEnergy consumption structureAutoregressive distribution lagEnvironment Kuznets Curve hypothesis
collection DOAJ
language English
format Article
sources DOAJ
author Wei Sun
Chumeng Ren
spellingShingle Wei Sun
Chumeng Ren
The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator
Energy Reports
Shannon–Wiener index
Energy consumption structure
Autoregressive distribution lag
Environment Kuznets Curve hypothesis
author_facet Wei Sun
Chumeng Ren
author_sort Wei Sun
title The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator
title_short The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator
title_full The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator
title_fullStr The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator
title_full_unstemmed The impact of energy consumption structure on China’s carbon emissions: Taking the Shannon–Wiener index as a new indicator
title_sort impact of energy consumption structure on china’s carbon emissions: taking the shannon–wiener index as a new indicator
publisher Elsevier
series Energy Reports
issn 2352-4847
publishDate 2021-11-01
description After several years of steady decline, carbon emissions began to rise in 2017. If this trend is not curbed as soon as possible, the efforts made for carbon emission reduction will be wasted. Although the effect that the energy consumption structure brought to carbon emissions has been studied in pieces of literature, the limit is that they all take the ratio of coal consumption (CS) as the index of energy consumption structure. With the optimization of energy consumption structure, the index they use is no longer convincing. Shannon–Wiener diversity index (SWI) is an index used to investigate the diversity within the local flora of a plant community, and in this paper, it is innovatively used to reflect the structure of the energy consumption. To test the superiority of the new index in the study of carbon emissions, the Autoregressive Distribution Lag model (ARDL) was used, and we find out the effect of Gross Domestic Product (GDP), Urbanization Rate (UR), Trade Structure (TS) and energy consumption structure on carbon emissions in China through the data from 1985 to 2016. The results show:(1) the R2of the carbon emission model constructed by SWI is as high as 0.9938, which means the model is stable;(2)During the research period, we found the relationship between the environmental quality and the squared term of GDP per capita is a U-shaped curve, so the Environment Kuznets Curve (EKC) hypothesis is not applicable in China;(3)The results also show that the inflexion point of the U-shaped curve is delayed;(4) Urban development and the promotion of trade structure will bring the increase of carbon emissions, while the optimization of energy consumption structure will slow it down. This paper will provide new ideas for studying the impact of energy consumption structure on carbon emissions, and put forward policy suggestions.
topic Shannon–Wiener index
Energy consumption structure
Autoregressive distribution lag
Environment Kuznets Curve hypothesis
url http://www.sciencedirect.com/science/article/pii/S2352484721002833
work_keys_str_mv AT weisun theimpactofenergyconsumptionstructureonchinascarbonemissionstakingtheshannonwienerindexasanewindicator
AT chumengren theimpactofenergyconsumptionstructureonchinascarbonemissionstakingtheshannonwienerindexasanewindicator
AT weisun impactofenergyconsumptionstructureonchinascarbonemissionstakingtheshannonwienerindexasanewindicator
AT chumengren impactofenergyconsumptionstructureonchinascarbonemissionstakingtheshannonwienerindexasanewindicator
_version_ 1721453730206842880