FACTORS INFLUENCING CO₂ EMISSIONS IN CHINA : A NONLINEAR AUTOREGRESSIVE DISTRIBUTED LAGS INVESTIGATION

This paper investigates the environmental impact of economic growth, energy consumption, financial development, and globalization in China over the period 1970Q1-2015Q4. In particular we consider four dimensions of globalization, namely, economic, social, political, and overall globalization. The no...

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Bibliographische Detailangaben
Veröffentlicht in:The Journal of Energy and Development. - International Research Center for Energy and Economic Development (ICEED). - 44(2019), 1/2, Seite 95-128
1. Verfasser: Atil, Ahmed (VerfasserIn)
Weitere Verfasser: Bouheni, Faten Ben, Lahiani, Amine, Shahbaz, Muhammad
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:The Journal of Energy and Development
Schlagworte:Environmental studies Physical sciences Social sciences Economics Business Applied sciences
Beschreibung
Zusammenfassung:This paper investigates the environmental impact of economic growth, energy consumption, financial development, and globalization in China over the period 1970Q1-2015Q4. In particular we consider four dimensions of globalization, namely, economic, social, political, and overall globalization. The nonlinear autoregressive distributed lags (NARDL) model has been employed to capture the potential asymmetric impact of the determinants of carbon dioxide (CO₂) emissions in China. This work presents a number of interesting findings. (1) In the short run, economic growth and financial development have a significant symmetric impact on CO₂ emissions. Energy consumption has a nonlinear and asymmetric influence on CO₂ emissions. However, economic globalization does not impact CO₂ emissions. (2) In the long run, economic growth, financial development, and economic globalization exhibit an asymmetric influence on CO₂ emissions in the model, including the economic dimension of globalization. Economic growth has a positive and symmetric impact on CO₂ emissions in the model, including social globalization; however, it does not influence CO₂ emissions in the case of political or overall globalization. In addition, energy consumption is positively linked to CO₂ emissions. Moreover, financial development does not influence CO₂ emission in the models, including social, political, and overall globalization. Social and overall globalization have a significant influence on CO₂ emissions. The results of this paper are important for policies that would promote sustainable development and environment protection.
ISSN:03614476