scholarly journals The Moderating Role of Employment in an Environmental Kuznets Curve Framework Revisited in G7 Countries

Author(s):  
Bright Akwasi Gyamfi ◽  
Murad A. Bein ◽  
Ilhan Ozturk ◽  
Festus Victor Bekun

Anthropogenic activities have resulted in environmental concerns due to the global consciousness for mitigating climate change issues. This awareness is emphasized in the sustainable development goals contained in the seventh and 13th targets. The study investigates the nexus between energy and growth while considering the moderating role of employment and its interaction with energy consumption in G7 countries for the period of 1980–2018. To achieve this objective, a carbon-income function is fitted to ameliorate the problems related to omitted variable bias. Empirical results indicate that all outlined variables are cointegrated over the investigated period, as reported by the Kao cointegration test. The study further validates the environmental Kuznets curve (EKC) hypothesis in the short-run. With emphasis on economic growth relative to environmental quality while in the long run, there is no statistical evidence in support of the EKC phenomenon. Furthermore, a 1% increase in energy consumption increases pollutant emission in the long run by 3.80%. Similarly, a positive elastic relationship is observed between trade and environmental degradation. This outcome is demonstrated in the causality results, which reveal a one-way causality running from trade to pollutant emission. These findings provide insights that can help policy formulations, including decoupling economic growth from pollutant emission and the need to adopt cleaner and eco-friendly technologies. 

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdul Farooq ◽  
Ahsan Anwar ◽  
Muhammad Ahad ◽  
Ghulam Shabbir ◽  
Zulfiqar Ali Imran

PurposeThis research aims to inspect the existence of the “environmental Kuznets curve” (EKC) in the presence of foreign direct investment (FDI), financial development (FD) and urbanization throughout 1972–2018 for Pakistan.Design/methodology/approachFor time series analysis, Phillips and Perron (PP) and Augmented Dickey–Fuller (ADF) unit root tests are used to confirm the level of integration. For robustness, Kim and Perron (2009)’s structural break unit root test is employed, which identifies the order of integration in the presence of structural break years. Further, combined cointegration analysis is performed to confirm the existence of a long-run association between underlying variables. Furthermore, autoregressive distributed lag (ARDL) analysis is employed for the robustness of the cointegration approach.FindingsThe cointegration analysis confirms the existence of a long-run association among variables. The authors find a positive and significant impact of urbanization, FD and foreign development on environmental degradation in the long run. Similarly, only FDI increases environmental degradation in the short run. In addition, the authors find an inverted U-shape relationship between economic growth and environmental quality which, further, confirms the presence of EKC in Pakistan.Originality/valueThis research contributes to applied economics in many ways: the combined effect of urbanization, FD, FDI and economic growth on carbon dioxide (CO2) emission is checked simultaneously. To avoid ambiguity, this study constructs the FD index through the principal component analysis (PCA). Moreover, the role of structural breaks has been considered through the analysis. Novel Bayer-Hanck combined cointegration analysis is employed to detect the existence of long-run relationships among underlying variables.


Author(s):  
Haider Mahmood ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Muhammad Tanveer ◽  
Doaa H. I. Mahmoud

The Environmental Kuznets Curve (EKC) association between income and pollution emissions proxies has been extensively tested in the environmental literature. However, testing of the energy-EKC is scanty. This present research examined the energy–EKC in the cubic relationship of economic growth and different renewable and nonrenewable energy proxies in Egypt from 1965–2019. In the long run, we corroborate the N-shaped relationships in the case of primary energy, oil, and coal consumption models, and confirm the long run energy–EKC association in these energy proxies. Moreover, we find turning points of the N-curve for these energy sources in 1998, 2000, and 1979–2005, in primary energy, oil, and coal consumption models, respectively. Hence, economic growth is responsible for increasing nonrenewable energy consumption and has environmental consequences in Egypt. In the short run, we find N-shaped relationships in the case of primary energy, oil, and coal consumption. Further, we find an inverted U-shaped relationship in the case of natural gas consumption. In addition, we corroborate an inverted N-shaped relationship in the case of hydroelectricity consumption, a renewable energy source. Hence, we confirm the short-run energy–EKC relationship in all investigated renewable and nonrenewable energy proxies.


2020 ◽  
Vol 31 (1) ◽  
pp. 39-49 ◽  
Author(s):  
Habib-ur Rahman ◽  
Ahmad Ghazali ◽  
Ghulam Ali Bhatti ◽  
Safdar Ullah Khan

This paper examines the long-run relationship between carbon dioxide (CO2) emission and economic growth, financial development, trade, energy consumption, and foreign direct investment in the case of Lithuania by employing time series data of 1989-2018. In particular, this paper aims to test whether the Environmental Kuznets Curve (EKC) relationship for economic growth and financial development holds or not. The autoregressive distributed lag (ARDL) bounds testing procedure is employed for the empirical analysis. The results validate the existence of EKC in the long-run as well as in the short-run since there is an inverted U-shaped relation between CO2 emissions and economic growth. Conversely, we could not validate the EKC relationship between CO2 emissions and financial development. Trade and energy consumption are other significant determinants of CO2 emissions. The causality analysis results show that unidirectional causality runs from economic growth to CO2 emissions and trade to CO2 emissions. The validity of the EKC hypothesis indicates that Lithuania can achieve short-term, medium-term, and long-term climate change mitigation and adoption goals and objectives approved by the Parliament of the Republic of Lithuania without deteriorating its economic growth.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3144
Author(s):  
Anh-Tu Nguyen ◽  
Shih-Hao Lu ◽  
Phuc Thanh Thien Nguyen

This paper examines the environmental Kuznets curve (EKC) in Vietnam between 1977 and 2019. Using the autoregressive distributed lag (ARDL) approach, we find an inverted N-shaped relation between economic growth and carbon dioxide emissions in both the long- and short-run. The econometric results also reveal that energy consumption and urbanization statistically positively impact pollution. The long-run Granger causality test shows a unidirectional causality from energy consumption and economic growth to pollution while there is no causal relationship between energy consumption and economic growth. These suggest some crucial policies for curtailing emissions without harming economic development. In the second step, we also employed the back-propagation neural networks (BPN) to compare the work of econometrics in carbon dioxide emissions forecasting. A 5-4-1 multi-layer perceptron with BPN and learning rate was set at 0.1, which outperforms the ARDL’s outputs. Our findings suggest the potential application of machine learning to notably improve the econometric method’s forecasting results in the literature.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.


2021 ◽  
Vol 3 (2) ◽  
pp. 223-239
Author(s):  
Bakhtawar Ijaz ◽  
Noman Arshed ◽  
Zamin Abbas ◽  
Uzma Hanif ◽  
Kamran Hameed

Recent developments which were coined to the opening up of borders have attracted interest of many researchers from many disciplines. A lot of work can be observed regarding the role of globalization / internationalization on economic growth and social development, this study specifically explores the implications of globalization on the ultimate goal that is life longevity. Adapting from the Kuznets curve, this study proposed a quadratic function of economic globalization and life longevity. The results using panel the ARDL model for the SAARC region, it can be seen that expansion of trade globalization de jure and management of financial globalization de facto and de jure may help them to increase longevity in the long run.


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