4.7 Article

The relationship between CO2 emissions, economic growth, available energy, and employment in SEE countries

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 30, 期 6, 页码 16140-16155

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-23356-3

关键词

CO2 emissions; Energy; Economic growth; Employment; SEE countries; Panel causality; Variance decomposition

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This study explores the causal relationship between CO2 emissions, economic growth, available energy, and employment in Southeastern European countries. The results show that there is a bidirectional causality between CO2 emissions and employment, as well as between available energy and employment. Furthermore, there is a unidirectional causality from available energy and employment to GDP.
As a result of a greater worldwide aspiration for wealth and economic progress, increased use of natural resources for diverse industries resulted in increased pollution emissions, mainly carbon dioxide. Energy security, economic stability, job security, biodiversity loss, climate change, and global warming all require reconciliation and resolution now, more than ever before. This paper explores the causal relationship between CO2 emissions, economic growth, available energy, and employment for a panel of eight South-Eastern European countries from 1995 to 2019. We investigate the relationship using panel unit root tests, panel cointegration methods, and panel causality tests. The results show a short-run bidirectional panel causality between CO2 emissions and employment and between available energy and employment. The results further indicate a unidirectional causality from available energy and employment to GDP. The long-run causal relationship results show that the estimated coefficients of the lagged ECT in the CO2 emissions, GDP, and employment equations are statistically significant, implying that these variables could play a significant role in the system's adjustment process as it departs from long-run equilibrium. We also conducted a variance decomposition analysis, which allowed us to compare the extent of the individual factors' contributions to each other over the next 5 years.

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