LAPSE:2023.13257v1
Published Article

LAPSE:2023.13257v1
Green Growth, Economic Development, and Carbon Dioxide Emissions: An Evaluation Based on Cointegration and Vector Error Correction Models
March 1, 2023
Abstract
Economic development is mainly dependent on fossil fuels. The massive use of fossil fuels has led to changes in the climate environment, in which the deterioration of air quality has affected people’s daily lives. This paper introduces the green growth level as a control variable to explore the connection between carbon dioxide emissions and the level of economic growth. It uses the EKC algorithm and VEC model to analyze Nanjing city’s data from 1993 to 2018. Given the data availability, the ARIMA algorithm was used to project carbon emissions for 2019−2025. It is found that the EKC curve of Nanjing City shows an N-shape, and the growth of economic level will cause the enhancement of carbon dioxide emissions. Carbon emissions will reach 7,592,140 tons in 2025. At present, we are in an essential stage of transition from N-shape to inverted U-shape, and this paper makes several recommendations based on the findings.
Economic development is mainly dependent on fossil fuels. The massive use of fossil fuels has led to changes in the climate environment, in which the deterioration of air quality has affected people’s daily lives. This paper introduces the green growth level as a control variable to explore the connection between carbon dioxide emissions and the level of economic growth. It uses the EKC algorithm and VEC model to analyze Nanjing city’s data from 1993 to 2018. Given the data availability, the ARIMA algorithm was used to project carbon emissions for 2019−2025. It is found that the EKC curve of Nanjing City shows an N-shape, and the growth of economic level will cause the enhancement of carbon dioxide emissions. Carbon emissions will reach 7,592,140 tons in 2025. At present, we are in an essential stage of transition from N-shape to inverted U-shape, and this paper makes several recommendations based on the findings.
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Keywords
autoregressive integrated moving average (ARIMA) model, carbon dioxide emissions, economic development level, environmental Kuznets curve (EKC) model, vector error correction (VEC) model
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Suggested Citation
Sun Y, Li M, Sun H, Kanwel S, Zhang M, Erum N, Hussain A. Green Growth, Economic Development, and Carbon Dioxide Emissions: An Evaluation Based on Cointegration and Vector Error Correction Models. (2023). LAPSE:2023.13257v1
Author Affiliations
Sun Y: School of Management, Jiangsu University, Zhenjiang 212013, China
Li M: School of Management, Jiangsu University, Zhenjiang 212013, China [ORCID]
Sun H: School of Management, Jiangsu University, Zhenjiang 212013, China
Kanwel S: Department of Tourism & Hotel Management, School of Management, Zhejiang University, Hangzhou 310058, China [ORCID]
Zhang M: School of Management, Jiangsu University, Zhenjiang 212013, China; Centre for Competitive Creation Design, Cranfield University, Bedfordshire MK43 0AL, UK
Erum N: IPFP Fellow, Department of Political Science, Rawalpindi Women University, Rawalpindi 46000, Pakistan [ORCID]
Hussain A: School of Management, Jiangsu University, Zhenjiang 212013, China [ORCID]
Li M: School of Management, Jiangsu University, Zhenjiang 212013, China [ORCID]
Sun H: School of Management, Jiangsu University, Zhenjiang 212013, China
Kanwel S: Department of Tourism & Hotel Management, School of Management, Zhejiang University, Hangzhou 310058, China [ORCID]
Zhang M: School of Management, Jiangsu University, Zhenjiang 212013, China; Centre for Competitive Creation Design, Cranfield University, Bedfordshire MK43 0AL, UK
Erum N: IPFP Fellow, Department of Political Science, Rawalpindi Women University, Rawalpindi 46000, Pakistan [ORCID]
Hussain A: School of Management, Jiangsu University, Zhenjiang 212013, China [ORCID]
Journal Name
Energies
Volume
15
Issue
10
First Page
3767
Year
2022
Publication Date
2022-05-20
ISSN
1996-1073
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PII: en15103767, Publication Type: Journal Article
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LAPSE:2023.13257v1
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