Panel Estimation of the Environmental Kuznets Curve for CO2 Emissions and Ecological Footprint: Environmental Sustainability in Developing Countries

• Autorzy: Sevilay Konya
• Języki publikacji: EN

Abstrakty

EN

Research background: The relationship between the economy and the environment is one of the most frequently encountered issues recently. Today the issue of environmental sustainability is one of the problems faced by countries. Purpose: This study, it is aimed at investigating the relationship between economic and environmental variables. Research methodology: The existence of the environmental Kuznets curve theory, in other words, the inverted U-connection between per capita carbon dioxide emissions, per capita ecological footprint, and per capita GDP in the examples of 10 developing countries is examined. We analyzed annual balanced panel data covering the period 1992-2014 for an inverted U-link between carbon dioxide emissions and ecological footprint and per capita GDP. Westerlund's cointegration test was applied as a cointegration test. The Common Correlated Effects Mean Group (CCEMG) and Augment Mean Group (AMG) estimator methods were applied for long-term parameter estimation. The Dumitrescu and Hurlin causality test was applied to determine the causal connections. Results: As a result of the study, a positive and significant effect of electricity consumption on carbon dioxide emission was determined in the long term in the model where the ecological footprint is the dependent variable. In the environmental Kuznets curve hypothesis, an inverted U-shaped relationship was determined. That is, the results confirming the existence of the environmental Kuznets curve have been determined. Finally, bidirectional causal links between carbon emissions and economic growth, between carbon dioxide missions and the square of economic growth, and between carbon dioxide emissions and electricity consumption; It is observed between the ecological footprint and economic growth, between the ecological footprint and the square of economic growth, and between the ecological footprint and electricity consumption. It is expected that this article will make a significant contribution to the literature with the important results obtained by using both an ecological footprint and carbon dioxide emission as dependent variables. Novelty: In this study, unlike other studies, two models were created with both CO2 emissions and the ecological footprint data as environmental variables. (original abstract)

Słowa kluczowe

EN

Sustainable development; Natural environment; Developing countries; Panel data; Gas emissions; Kuznets curve

PL

Rozwój zrównoważony; Środowisko przyrodnicze; Kraje rozwijające się; Dane panelowe; Emisja gazów; Krzywa Kuznetsa

• Czasopismo: Folia Oeconomica Stetinensia
• Rocznik: 2022
• Numer: vol. 22, iss. 2
• Strony: 123--145

Twórcy

autor

Sevilay Konya

• Selçuk University, Konya, Turkey

Bibliografia

• Acar, Y., Gürdal, T., Ekeryılmaz, Ş. (2018). Environmental Kuznets Curve for CO2 Emissions: An Analysis for Developing, Middle East, OECD and OPEC Countries. Environmental, Socio-economic Studies, 6 (4), 48-58. DOI: 10.2478/environ-2018-0027.
• Ahmad, M., Muslija, A., Satrovic, E. (2021). Does economic prosperity lead to environmental sustainability in developing economies? Environmental Kuznets curve theory. Environmental Science and Pollution Research, 28, 22588-22601. DOI: 10.1007/s11356-020-12276-9.
• Allard, A., Takman, J., Uddin, G.S., Ahmed, A. (2018). The N-shaped environmental Kuznets curve: an empirical evaluation using a panel quantile regression approach. Environmental Science and Pollution Research, 25, 5848-5861. DOI: 10.1007/s11356-017-0907-0.
• Apergis, N., Payne, J.E. (2010). The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states. Energy Policy, 38 (1), 650-655. DOI: 10.1016/j.enpol.2009.08.029.
• Arı, A., Zeren, F. (2011). CO2 Emisyonu ve Ekonomik Büyüme: Panel Veri Analizi. Yönetim ve Ekonomi Dergisi, 18 (2), 37-47. Retrieved from https://dergipark.org.tr/tr/download/article-file/146063.
• Aydin, M., Turan, Y.E. (2020). The influence of financial openness, trade openness, and energy intensity on ecological footprint: Revisiting the environmental Kuznets curve hypothesis for BRICS countries. Environmental Science and Pollution Research, 27, 43233-43245. DOI: 10.1007/s11356-020-10238-9.
• Aytun, C., Akın, C., Algan, N. (2017). Gelişen Ülkelerde Çevresel Bozulma, Gelir ve Enerji Tüketimi İlişkis. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10 (1), 1-11. DOI: 10.25287/ohuiibf.297156.
• Baležentis, T., Streimikiene, D., Zhang, T., Lobikiene, G. (2019). The role of bioenergy in greenhouse gas emission reduction in EU countries: An Environmental Kuznets Curve modelling. Resources, Conservation and Recycling, 142, 225-231. DOI: 10.1016/j.resconrec.2018.12.019.
• Balsalobre-Lorente, D., Ibáñez-Luzón, L., Usman, M., Shahbaz, M. (2022). The environmental Kuznets curve, based on the economic complexity, and the pollution haven hypothesis in PIIGS countries. Renewable Energy, 185, 1441-1455. DOI: 10.1016/j.renene.2021.10.059.
• Beyene, S.D., Kotosz, B. (2020). Testing the environmental Kuznets curve hypothesis: An empirical study for East African countries. International Journal of Environmental Studies, 77 (4), 636-654. DOI: 10.1080/00207233.2019.1695445.
• Bond, S., Eberhardt, M. (2009). Cross-Section Dependence in Nonstationary Panel Models: A Novel Estimator, paper presented at the Nordic Econometrics Conference in Lund.
• Boubellouta, B., Kusch-Brandt, S. (2020). Testing the environmental Kuznets Curve hypothesis for E-waste in the EU28 +2 countries. Journal of Cleaner Production, 277. DOI: 10.1016/j.jclepro.2020.123371.
• Breusch, T.S., Pagan, A.R. (1980). The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics. Review of Economic Studies, 47, 239-253. DOI: 10.2307/2297111.
• Cetin, M.A., Bakirtas, I., Yildiz, N. (2022). Does agriculture-induced environmental Kuznets curve exist in developing countries? Environmental Science and Pollution Research, 29, 34019-34037. DOI: 10.1007/s11356-021-18065-2.
• Cetin, M.A. (2018). Investigating the environmental Kuznets Curve and the role of green energy: Emerging and developed markets. International Journal of Green Energy, 15 (1), 37-44. DOI: 10.1080/15435075.2017.1413375.
• Destek, M.A., Ulucak, R., Dogan, E. (2018). Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint. Environmental Science and Pollution Research, 25, 29387-29396. DOI: 10.1007/s11356-018-2911-4.
• Destek, M.A., Sarkodie, S.A. (2019). Investigation of environmental Kuznets curve for ecological footprint: The role of energy and financial development. Science of The Total Environment, 650 (2), 2489-2489. DOI: 10.1016/j.scitotenv.2018.10.017.
• Dogan, E., Ulucak, R., Koçak, E., Isik, C. (2020). The use of ecological footprint in estimating the Environmental Kuznets Curve hypothesis for BRICST by considering cross-section dependence and heterogeneity. Science of The Total Environment, 723. DOI: 10.1016/j.scitotenv.2020.138063.
• Dogan, E., Inglesi-Lotz, R. (2020). The impact of economic structure to the environmental Kuznets curve (EKC) hypothesis: Evidence from European countries. Environmental Science and Pollution Research, 27, 12717-12724. DOI: 10.1007/s11356-020-07878-2.
• Dumitrescu, E.I., Hurlin, C. (2012). Testing for Granger noncausality in heterogeneous panels. Economic Modelling, 29 (4), 1450-1460. DOI: 10.1016/j.econmod.2012.02.014.
• Eberhardt, M., Teal F. (2010). Productivity Analysis İn The Global Manufacturing Production. Economics Series Working Papers 515, University of Oxford, Department of Economics.
• Ella, P.N., Mabiala, J.F., Ikinda, L.B.O. (2022). Testing the Environmental Kuznets Curve Hypothesis in CEMAC Countries. Asian Journal of Empirical Research, 12 (2), 82-88. DOI: 10.55493/5004.v12i2.4518.
• Global Footprint Network (2022). Retrieved from https://data.footprintnetwork.org/?_ga=2.62973229.320743857.1656355439-453265174.1656355439

Identyfikatory

DOI

10.2478/foli-2022-0022