Accesso libero

Assessing the long-term asymmetric relationship between energy consumption and CO2 emissions: Evidence from the Visegrad Group countries

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Abbasi, K. R., Shahbaz, M., Jiao, Z., & Tufail, M. (2021). How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach. Energy, 221, 119793. https://doi.org/10.1016/j.energy.2021.119793Search in Google Scholar

Adedoyin, F. F., Ozturk, I., Bekun, F. V., Agboola, P. O., & Agboola, M. O. (2021). Renewable and non-renewable energy policy simulations for abating emissions in a complex economy: Evidence from the novel dynamic ARDL. Renewable Energy, 177, 1408–1420. https://doi.org/10.1016/j.renene.2021.06.018Search in Google Scholar

Ahmad, M., Işık, C., Jabeen, G., Ali, T., Ozturk, I., & Atchike, D. W. (2021). Heterogeneous links among urban concentration, non-renewable energy use intensity, economic development, and environmental emissions across regional development levels. Science of The Total Environment, 765, 144527. https://doi.org/10.1016/j.scitotenv.2020.144527Search in Google Scholar

Akram, R., Majeed, M. T., Fareed, Z., Khalid, F., & Ye, C. (2020). Asymmetric effects of energy efficiency and renewable energy on carbon emissions of BRICS economies: Evidence from nonlinear panel autoregressive distributed lag model. Environmental Science and Pollution Research, 27(15), 18254–18268. https://doi.org/10.1007/s11356-020-08353-8Search in Google Scholar

Ali, F., Huang, S., & Cheo, R. (2020). Climatic Impacts on Basic Human Needs in the United States of America: A Panel Data Analysis. Sustainability, 12(4), Article 4. https://doi.org/10.3390/su12041508Search in Google Scholar

Allison, P. D. (2019). Asymmetric Fixed-effects Models for Panel Data. Socius, 5, 2378023119826441. https://doi.org/10.1177/2378023119826441Search in Google Scholar

Al-mulali, U., Fereidouni, H. G., & Lee, J. Y. M. (2014). Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries. Renewable and Sustainable Energy Reviews, 30, 290–298. https://doi.org/10.1016/j.rser.2013.10.006Search in Google Scholar

Alvarado, R., Deng, Q., Tillaguango, B., Méndez, P., Bravo, D., Chamba, J., Alvarado-Lopez, M., & Ahmad, M. (2021). Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries. Energy, 215, 119147. https://doi.org/10.1016/j.energy.2020.119147Search in Google Scholar

Ambroziak, Ł., Chojna, J., Miniszewski, M., Strzelecki, J., Aleksander, S., Śliwowski, P., Święcicki, I., & Wąsiński, M. (2021). Visegrad Group—30 years of transformation, integration and development. Polish Economic Institute. https://pie.net.pl/wp-content/uploads/2021/02/Wyszechrad-ENG.pdfSearch in Google Scholar

Antonakakis, N., Chatziantoniou, I., & Filis, G. (2017). Energy consumption, CO2 emissions, and economic growth: An ethical dilemma. Renewable and Sustainable Energy Reviews, 68, 808–824. https://doi.org/10.1016/j.rser.2016.09.105Search in Google Scholar

Apergis, N., & Ozturk, I. (2015). Testing Environmental Kuznets Curve hypothesis in Asian countries. Ecological Indicators, 52, 16–22. https://doi.org/10.1016/j.ecolind.2014.11.026Search in Google Scholar

Azam, A., Rafiq, M., Shafique, M., Zhang, H., Ateeq, M., & Yuan, J. (2021). Analyzing the relationship between economic growth and electricity consumption from renewable and non-renewable sources: Fresh evidence from newly industrialized countries. Sustainable Energy Technologies and Assessments, 44, 100991. https://doi.org/10.1016/j.seta.2021.100991Search in Google Scholar

Baltagi, B. H., Feng, Q., & Kao, C. (2012). A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164–177. https://doi.org/10.1016/j.jeconom.2012.04.004Search in Google Scholar

Baum, C. F. (2001). Residual Diagnostics for Cross-section Time Series Regression Models. The Stata Journal, 1(1), 101–104. https://doi.org/10.1177/1536867X0100100108Search in Google Scholar

Bilgili, F., Koçak, E., & Bulut, Ü. (2016). The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach. Renewable and Sustainable Energy Reviews, 54, 838–845. https://doi.org/10.1016/j.rser.2015.10.080Search in Google Scholar

Brodny, J., & Tutak, M. (2021). The comparative assessment of sustainable energy security in the Visegrad countries. A 10-year perspective. Journal of Cleaner Production, 317, 128427. https://doi.org/10.1016/j.jclepro.2021.128427Search in Google Scholar

Cialani, C. (2017). CO2 emissions, GDP and trade: A panel cointegration approach. International Journal of Sustainable Development & World Ecology, 24(3), 193–204. https://doi.org/10.1080/13504509.2016.1196253Search in Google Scholar

Coy, D., Malekpour, S., Saeri, A. K., & Dargaville, R. (2021). Rethinking community empowerment in the energy transformation: A critical review of the definitions, drivers and outcomes. Energy Research & Social Science, 72, 101871. https://doi.org/10.1016/j.erss.2020.101871Search in Google Scholar

Daoud, J. I. (2017). Multicollinearity and Regression Analysis. Journal of Physics: Conference Series, 949(1), 012009. https://doi.org/10.1088/1742-6596/949/1/012009Search in Google Scholar

Debone, D., Leite, V. P., & Miraglia, S. G. E. K. (2021). Modelling approach for carbon emissions, energy consumption and economic growth: A systematic review. Urban Climate, 37, 100849. https://doi.org/10.1016/j.uclim.2021.100849Search in Google Scholar

Deka, A., Ozdeser, H., & Seraj, M. (2023). The effect of GDP, renewable energy and total energy supply on carbon emissions in the EU-27: New evidence from panel GMM. Environmental Science and Pollution Research, 30(10), 28206–28216. https://doi.org/10.1007/s11356-022-24188-xSearch in Google Scholar

Dissanayake, H., Perera, N., Abeykoon, S., Samson, D., Jayathilaka, R., Jayasinghe, M., & Yapa, S. (2023). Nexus between carbon emissions, energy consumption, and economic growth: Evidence from global economies. PLOS ONE, 18(6), e0287579. https://doi.org/10.1371/journal.pone.0287579Search in Google Scholar

Driscoll, J. C., & Kraay, A. C. (1998). Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data. The Review of Economics and Statistics, 80(4), 549–560.Search in Google Scholar

Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014Search in Google Scholar

Dzikuć, M., Wyrobek, J., & Popławski, Ł. (2021). Economic Determinants of Low-Carbon Development in the Visegrad Group Countries. Energies, 14(13), Article 13. https://doi.org/10.3390/en14133823Search in Google Scholar

Flanker, R. (2016). The Paris Agreement and the new logic of international climate politics. International Affairs, 92(5), 1107–1125. https://doi.org/10.1111/1468-2346.12708Search in Google Scholar

Givens, J. E., Huang, X., & Jorgenson, A. K. (2019). Ecologically unequal exchange: A theory of global environmental injustice. Sociology Compass, 13(5), e12693. https://doi.org/10.1111/soc4.12693Search in Google Scholar

Granger, C. W. J., & Yoon, G. (2002). Hidden Cointegration (SSRN Scholarly Paper 313831). https://doi.org/10.2139/ssrn.313831Search in Google Scholar

Grodzicki, T., & Jankiewicz, M. (2022). The impact of renewable energy and urbanization on CO2 emissions in Europe – Spatio-temporal approach. Environmental Development, 44, 100755. https://doi.org/10.1016/j.envdev.2022.100755Search in Google Scholar

Haberl, H., Wiedenhofer, D., Virág, D., Kalt, G., Plank, B., Brockway, P., Fishman, T., Hausknost, D., Krausmann, F., Leon-Gruchalski, B., Mayer, A., Pichler, M., Schaffartzik, A., Sousa, T., Streeck, J., & Creutzig, F. (2020). A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: Synthesizing the insights. Environmental Research Letters, 15(6), 065003. https://doi.org/10.1088/1748-9326/ab842aSearch in Google Scholar

Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447–456. https://doi.org/10.1007/s00181-011-0484-xSearch in Google Scholar

Hatemi-J, A. (2020). Hidden panel cointegration. Journal of King Saud University - Science, 32(1), 507–510. https://doi.org/10.1016/j.jksus.2018.07.011Search in Google Scholar

Hatemi-J, A. (2022). Dynamic Asymmetric Causality Tests with an Application. Engineering Proceedings, 18(1), Article 1. https://doi.org/10.3390/eng-proc2022018041Search in Google Scholar

Hatemi-J, A., & El-Khatib, Y. (2016). An extension of the asymmetric causality tests for dealing with deterministic trend components. Applied Economics, 48(42), 4033–4041. https://doi.org/10.1080/00036846.2016.1150950Search in Google Scholar

Inglesi-Lotz, R., & Dogan, E. (2018). The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub- Saharan Africa’s Βig 10 electricity generators. Renewable Energy, 123, 36–43. https://doi.org/10.1016/j.renene.2018.02.041Search in Google Scholar

Iqbal, S., Wang, Y., Shaikh, P. A., Maqbool, A., & Hayat, K. (2022). Exploring the asymmetric effects of renewable energy production, natural resources, and economic progress on CO2 emissions: Fresh evidence from Pakistan. Environmental Science and Pollution Research, 29(5), 7067–7078. https://doi.org/10.1007/s11356-021-16138-wSearch in Google Scholar

Ito, K. (2017). CO2 emissions, renewable and non-renewable energy consumption, and economic growth: Evidence from panel data for developing countries. International Economics, 151, 1–6. https://doi.org/10.1016/j.inteco.2017.02.001Search in Google Scholar

Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44. https://doi.org/10.1016/S0304-4076(98)00023-2Search in Google Scholar

LaBelle, M. C., Tóth, G., & Szép, T. (2022). Not Fit for 55: Prioritizing Human Well-Being in Residential Energy Consumption in the European Union. Energies, 15(18), Article 18. https://doi.org/10.3390/en15186687Search in Google Scholar

Leitão, N. C., Dos Santos Parente, C. C., Balsalobre-Lorente, D., & Cantos Cantos, J. M. (2023). Revisiting the effects of energy, population, foreign direct investment, and economic growth in Visegrad countries under the EKC scheme. Environmental Science and Pollution Research, 30(6), 15102–15114. https://doi.org/10.1007/s11356-022-23188-1Search in Google Scholar

Litavcová, E., & Chovancová, J. (2021). Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries. Energies, 14(11), Article 11. https://doi.org/10.3390/en14113165Search in Google Scholar

Mardani, A., Streimikiene, D., Cavallaro, F., Loganathan, N., & Khoshnoudi, M. (2019). Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017. Science of The Total Environment, 649, 31–49. https://doi.org/10.1016/j.scitotenv.2018.08.229Search in Google Scholar

Mawejje, J. (2023). Renewable and nonrenewable energy consumption, economic growth, and CO2 emissions in Eastern and South African countries: The role of informality. Environmental Science and Pollution Research, 30(28), 72575–72587. https://doi.org/10.1007/s11356-023-27549-2Search in Google Scholar

McGee, J. A., & York, R. (2018). Asymmetric relationship of urbanization and CO2 emissions in less developed countries. PLOS ONE, 13(12), e0208388. https://doi.org/10.1371/journal.pone.0208388Search in Google Scholar

Muço, K., Valentini, E., & Lucarelli, S. (2021). The Relationships between GDP growth, Energy Consumption, Renewable Energy Production and CO2 Emissions in European Transition Economies. International Journal of Energy Economics and Policy, 11(4), Article 4.Search in Google Scholar

Muhammad, B., & Khan, S. (2019). Effect of bilateral FDI, energy consumption, CO2 emission and capital on economic growth of Asia countries. Energy Reports, 5, 1305–1315. https://doi.org/10.1016/j.egyr.2019.09.004Search in Google Scholar

Myszczyszyn, J., & Suproń, B. (2021). Relationship among Economic Growth (GDP), Energy Consumption and Carbon Dioxide Emission: Evidence from V4 Countries. Energies, 14(22), Article 22. https://doi.org/10.3390/en14227734Search in Google Scholar

Naqvi, S., Wang, J., & Ali, R. (2022). Towards a green economy in Europe: Does renewable energy production has asymmetric effects on unemployment? Environmental Science and Pollution Research, 29(13), 18832–18839. https://doi.org/10.1007/s11356-021-17093-2Search in Google Scholar

Naseer, S., Song, H., Chupradit, S., Maqbool, A., Hashim, N. A. A. N., & Vu, H. M. (2022). Does educated labor force is managing the green economy in BRCS? Fresh evidence from NARDL-PMG approach. Environmental Science and Pollution Research, 29(14), 20296–20304. https://doi.org/10.1007/s11356-021-16834-7Search in Google Scholar

Pastukhova, M., & Westphal, K. (2020). Governing the Global Energy Transformation. In M. Hafner & S. Tagliapietra (Eds.), The Geopolitics of the Global Energy Transition (pp. 341–364). Springer International Publishing. https://doi.org/10.1007/978-3-030-39066-2_15Search in Google Scholar

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951Search in Google Scholar

Rahman, M. M., & Kashem, M. A. (2017). Carbon emissions, energy consumption and industrial growth in Bangladesh: Empirical evidence from ARDL cointegration and Granger causality analysis. Energy Policy, 110, 600–608. https://doi.org/10.1016/j.enpol.2017.09.006Search in Google Scholar

Rasheed, M. Q., Haseeb, A., Adebayo, T. S., Ahmed, Z., & Ahmad, M. (2022). The long-run relationship between energy consumption, oil prices, and carbon dioxide emissions in European countries. Environmental Science and Pollution Research, 29(16), 24234–24247. https://doi.org/10.1007/s11356-021-17601-4Search in Google Scholar

Razzaq, A., Fatima, T., & Murshed, M. (2023). Asymmetric effects of tourism development and green innovation on economic growth and carbon emissions in top 10 GDP countries. Journal of Environmental Planning and Management, 66(3), 471–500. https://doi.org/10.1080/09640568.2021.1990029Search in Google Scholar

Sadiq, M., Chau, K. Y., Ha, N. T. T., Phan, T. T. H., Ngo, T. Q., & Huy, P. Q. (2023). The impact of green finance, eco-innovation, renewable energy and carbon taxes on CO2 emissions in BRICS countries: Evidence from CS ARDL estimation. Geoscience Frontiers, 101689. https://doi.org/10.1016/j.gsf.2023.101689Search in Google Scholar

Şanlı, D., Muratoğlu, Y., Songur, M., & Uğurlu, E. (2023). The asymmetric effect of renewable and non-renewable energy on carbon emissions in OECD: New evidence from non-linear panel ARDL model. Frontiers in Environmental Science, 11. https://www.frontiersin.org/articles/10.3389/fenvs.2023.1228296Search in Google Scholar

Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. https://doi.org/10.1007/978-1-4899-8008-3_9Search in Google Scholar

Suproń, B., & Myszczyszyn, J. (2023). Impact of Renewable and Non-Renewable Energy Consumption and CO2 Emissions on Economic Growth in the Visegrad Countries. Energies, 16(20), Article 20. https://doi.org/10.3390/en16207163Search in Google Scholar

Toumi, S., & Toumi, H. (2019). Asymmetric causality among renewable energy consumption, CO2 emissions, and economic growth in KSA: Evidence from a non-linear ARDL model. Environmental Science and Pollution Research, 26(16), 16145–16156. https://doi.org/10.1007/s11356-019-04955-zSearch in Google Scholar

Ullah, S., Ozturk, I., Usman, A., Majeed, M. T., & Akhtar, P. (2020). On the asymmetric effects of premature deindustrialization on CO2 emissions: Evidence from Pakistan. Environmental Science and Pollution Research, 27(12), 13692–13702. https://doi.org/10.1007/s11356-020-07931-0Search in Google Scholar

White, H. (1980). A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934Search in Google Scholar

Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data. The MIT Press. https://www.jstor.org/stable/j.ctt5hhcfrSearch in Google Scholar

York, R., & Light, R. (2017). Directional Asymmetry in Sociological Analyses. Socius, 3, 2378023117697180. https://doi.org/10.1177/2378023117697180Search in Google Scholar

Zoundi, Z. (2017). CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72, 1067–1075. https://doi.org/10.1016/j.rser.2016.10.018Search in Google Scholar

eISSN:
2450-0097
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Business and Economics, Mathematics and Statistics for Economists, Econometrics, Political Economics, other, Finance