Global dynamics of environmental Kuznets curve and fishing grounds load capacity: A cross-correlation analysis of income and CO2 emission and marine ecosystem
Cross-section data econometrics
Keywords:
Fisheries Production, FGLCC hypothesis, EKC hypothesis, PMG-Panel ARDL, D–H Panel Causality, D10 and G10 countriesAbstract
Changes in the environment and distortions place nations under socioeconomic strain on a global scale, making them a crucial topic of debate, which makes them an important issue of discussion. Researchers and academics in this field, state that advancements in transportation, capture and storage, nutritional properties, and long-distance exportability are some of the factors contributing to the notable declines in marine biodiversity. In this context, this paper analyzes the nexus among the ecological footprint as a multi-aspect indicator of environmental degradation, marine ecosystem, economic growth, energies uses, and climate policy uncertainty within the Environmental Kuznets Curve (EKC) hypothesis and Fishing Grounds Load Capacity Curve (FGLCC) hypothesis, framework for two panels of developing countries (D10) and developed countries (G10) during 2000–2024. Thus, this study takes into account the underappreciated component of the marine supply side, which sets it apart from other research that just looked at the demand side through fishing footprints. According to the pooled mean group (PMG), estimation results indicate an inverted U-shape nexus among the economic growth and ecological footprint, which implies validation of the EKC hypothesis in developing countries (D10) and developed countries (G10). In addition, the findings indicate the positive impact of climate policy uncertainty and the energies uses on the environment in all two panels.More importantly, The Fishing Grounds Load Capacity Curve (FGLCC) hypothesis is valid only in the case of developed countries and is not valid in developing countries. Additionally, the results demonstrate that energies uses, fisheries production and climate policy uncertainty have a positive impact on the marine ecosystem.finally, The findings of the Dumitrescu–Hurlin panel causality test also indicate the existence of bidirectional causality between energy consumption and CO2 emissions in all two panels of countries, and between economic growth and marine ecosystem in the developed countries (G10).Finally, these results give decision-makers important information that helps them pinpoint important factors that support the conservation of marine variety.
References
Alfian, M., & Budiono, B. (2023). Is the Environmental Kuznets Curve (EKC) hypothesis valid on CO2 emissions in Indonesia? International Journal of Environmental Studies 80(1) , 20-31 https://doi.org/10.1080/00207233.2022.2029097.
AlKhars, M. A., & al. (2022). A literature review of the Environmental Kuznets Curve in GCC for 2010–2020. Environmental and Sustainability Indicators 14 , https://doi.org/10.1016/j.indic.2022.100181.
Ayad, H. (2023). Investigating the fishing grounds load capacity curve in G7 nations: Evaluating the influence of human capital and renewable energy use. Marine Pollution Bulletin 194 , https://doi.org/10.1016/j.marpolbul.2023.115413.
Ayad, H., & al. (2024). Toward maritime sustainability in GCC countries: What role do economic freedom and human capital play? Marine Pollution Bulletin 206 , https://doi.org/10.1016/j.marpolbul.2024.116774.
Aye, G. C., & al. (2017). Effect of economic growth on CO2 emission in developing countries: Evidence from a dynamic panel threshold model. Cogent Economics & Finance 5(1) , https://doi.org/10.1080/23322039.2017.1379239.
Aslam, B., Hu, J., Hafeez, M., Ma, D., AlGarni, T. S., Saeed, M., et al. (2021). Applying environmental Kuznets curve framework to assess the nexus of industry, globalization, and CO2 emission. Environ. Technol. & Innovation 21, 101377. doi:10.1016/j.eti.2021.101377
Beckerman, W. (1992). Economic growth and the environment: Whose growth? Whose environment? World Development 20(4) , 481–496. doi: 10.1016/0305-750X(92)90038-W.
Breusch, T. S., & Pagan, A. R. (1980). Breusch, T.S.; Pagan, A.R. The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies 47 , 239-253 https://doi.org/10.2307/2297111.
Arouri, M. E. H., Ben Youssef, A., M’henni, H., and Rault, C. (2012). Energy consumption, economic growth and CO2 emissions in Middle East and North African countries. Energy Policy 45, Brown, L., McFarlane, A., Campbell, K., and Das, A. (2020). Remittances and CO2 emissions in Jamaica: an asymmetric modified environmental kuznets curve. J. Econ. Asymmetries 22, e00166. doi:10.1016/ j.jeca.2020.e00166342–349. doi:10.1016/j.enpol.2012.02.042
Caglar, A. E., & al. (2024). Analyzing the load capacity curve hypothesis for the Turkiye: A perspective for the sustainable environment. Journal of Cleaner Production 444 , https://doi.org/10.1016/j.jclepro.2024.141232.
Caglar, A., & al, e. (2023). A new look at China's envirnmental quality: how does environmental sustainability respond to the asymmetrical behavior of the competitive industrial sector? Int. J. Sustain. Dev. World Ecol.
Chiu Y, B. (2012). Deforestation and the environmental kuznets curve in developing countries: A panel smooth transition regression approach. Canadian Journal of Agricultural Economics/Revue canadienne d’agroeconomie 60 , 177–194.10.1111/cjag.2012.60.issu.
Clark, T. P., & al. (2018). Socio-structural drivers, fisheries footprints, and seafood consumption: A comparative international study, 1961-2012. Journal of Rural Studies 57 , https://doi.org/10.1016/j.jrurstud.2017.12.008.
CO2 capture from offshore oil installations: An evaluation of alternative methods for deposition with emphasis on carbonated water injection2024Carbon Capture Science & Technology 11 https://doi.org/10.1016/j.ccst.2023.100184
Destek b, M. A., & al. (2023). Premature Deindustrialization and Environmental Degradation. MPRA Paper .
Destek, M. A., & al. (2024). Premature deindustrialization and environmental degradation. Gondwana Research 127 , https://doi.org/10.1016/j.gr.2023.06.006.
Dumitrescu, E.I.; Hurlin, C. (2012). Testing for Granger Noncausality in Heterogeneous Panels. Econ. Model 29, 1450–1460.
Environmental degradation and economic growth: Investigating linkages and potential pathways2023Energy Economics 123 https://doi.org/10.1016/j.eneco.2023.106734
Grossman, G., & Krueger, A. (1991). Environmental Impacts of a North American Free Trade Agreement. ,” in National Bureau of Economic Research (Cambridge, MA: National Bureau of Economic Research). doi:10.3386/w3914.
Grossman, G., & Krueger, A. (1991). Environmental Impacts of a North American Free Trade Agreement. ,” in National Bureau of Economic Research (Cambridge, MA: National Bureau of Economic Research). doi:10.3386/w3914.
Hakan, A., & al. (2023). Testing the environmental Kuznets curve hypothesis in terms of ecological footprint and CO2 emissions through energy diversification for Turkey. Environmental Science and Pollution Research 30 , 63289–63304.
Heidari, H., & al. (2015). Economic growth, CO2 emissions, and energy consumption in the five ASEAN countries. International Journal of Electrical Power & Energy Systems 64 , 785–791.10.1016/j.ijepes.2014.07.081.
Im, K., & al. (2003). Testing for unit roots in heterogeneous panels. J. Econ 115 , 53–74.
Isik, C., Ahmad, M., Pata, U. K., Ongan, S., Radulescu, M., Adedoyin, F. F., et al. (2020). An evaluation of the tourism-induced environmental Kuznets curve (T-EKC) hypothesis: evidence from G7 countries. Sustain. Switz. 12 (21), 9150–9211. doi:10.3390/su12219150
Khan, M. I. (2021). Testing Environmental Kuznets Curve in the USA: What Role Institutional Quality, Globalization, Energy Consumption, Financial Development, and Remittances can Play? New Evidence From Dynamic ARDL Simulations Approach. Sec. Environmental Economics and Management , https://doi.org/10.3389/fenvs.2021.789715.
Kasman, A., and Duman, Y. S. (2015). CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: a panel data analysis. Econ. Model. 44, 97–103. doi:10.1016/j.econmod.2014.10.022
Kao, C. (1999) Spurious regression and residual-based tests for cointegration in panel data. J. Econom, 90, 1–44.
Kao, C., Chiang, M-H. (2000). On the estimation and inference of a cointegrated regression in panel data, Advances in Econometrics, 15, edited by B. Baltagi et C. Kao, 179-222, Elsevier Science.
Kuznets, S. (1995). Economic growth and income inequality. Am. Econ. Rev., 45 , 1-28.
Leal, P. H., & Marques, A. C. (2022). The evolution of the environmental Kuznets curve hypothesis assessment: A literature review under a critical analysis perspective. Hileyon 8(11) , https://doi.org/10.1016/j.heliyon.2022.e11521.
Mucahit, A., & al. (2023). The role of green innovation in achieving environmental sustainability in European Union countries: Testing the environmental Kuznets curve hypothesis. Gondwana Research 118 , 105-116 https://doi.org/10.1016/j.gr.2023.01.013.
Naveed, A., Ahmad, N., FathollahZadeh Aghdam, R., and Menegaki, A. N. (2022). What have we learned from Environmental Kuznets Curve hypothesis? A citation-based systematic literature review and content analysis. Energy Strategy Rev. 44, 100946. doi:10.1016/j.esr.2022.100946
Pesaran, M. (2007). A simple panel unit root test in the presence of cross-section dependence. J. Appl. Econ 22 , 265–312.
Pesaran, M. H. (2020). General diagnostic tests for cross section dependence in panel. Empirical Economics 60 , 13–50 https://doi.org/10.17863/CAM.5113.
Pesaran, M. H., & al. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association 94(446) , 621-634 https://doi.org/10.2307/2670182.
Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics 142(1) , 50-93 https://doi.org/10.1016/j.jeconom.2007.05.010.
Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regessors, Oxford Bulletin of Economics and Statistics, S1, 61, 653–670.
Pedroni, P. (2000). Fully modified OLS for heterogeneous cointegrated panel, Advances in Econometrics, 15, 93–130.
Pedroni, P. 2004. Panel cointegration, asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis, Econometric Theory, 20(3), 597-625.
Pata, U. K. (2018). Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: testing EKC hypothesis with structural breaks. J. Clean. Prod. 187, 770–779. doi:10.1016/j.jclepro.2018.03.236
Sajjad, A., & al. (2022). Fishing grounds footprint and economic freedom indexes: Evidence from Asia-Pacific. PLoS ONE 17(4) , 1-17 DOI:10.1371/journal.pone.0263872.
Siche, R., & al. (2010). Convergence of ecological footprint and emergy analysis as a sustainability indicator of countries: Peru as case study. Communications in Nonlinear Science and Numerical Simulation 15(10) , 3182-3192 DOI:10.1016/j.cnsns.2009.10.027.
Sisay Demissew, B., & Balázs, K. (2020). Testing the environmental Kuznets curve hypothesis: an empirical study for East African countries. International Journal of Environmental Studies 77(4) , 636-654 https://doi.org/10.1080/00207233.2019.1695445.
Solarin, S. (2019). Convergence in CO2 emissions, carbon footprint and ecological footprint: evidence from OECD countries. Environ Sci Pollut Res 26(6) , 6167–6181. doi: 10.1007/s11356-018-3993-8.
Solarin, S., & Bello, M. (2018). Persistence of policy shocks to an environmental degradation index: The case of ecological footprint in 128 developed and developing countries. Ecol. Indic 89 , 35–44.
Shao, S., Yang, L., Yu, M., and Yu, M. (2011). Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994–2009. Energy Policy 39 (10), 6476–6494. doi:10.1016/j.enpol.2011.07.049
Testing the environmental Kuznets curve hypothesis in South Africa using the ARDL approach2023Early View https://doi.org/10.1111/1477-8947.12377
Veli, Y., & al. (2022). Is the environmental Kuznets curve related to the fishing footprint? Evidence from China. Fisheries Research 254 , https://doi.org/10.1016/j.fishres.2022.106392.
Wackernagel, M., & Rees, W. (1996). Our Ecological Footprint: Reducing Human İmpact on the Earth; The New Catalyst Bioregional Series. New Society Publishers: Gabriola Island, BC, Canada , 1–160.
Wu, M., & al. (2019). Is urban development ecologically sustainable? Ecological footprint analysis and prediction based on a modified artificial neural network model: A case study of Tianjin in China. J. Clean. Prod 237 , 11779.
Westerlund, Joakim & Edgerton, David L., (2007). A panel bootstrap cointegration test," Economics Letters, Elsevier, vol. 97(3), pages 185-190.
Yuanyuan, H., & al. (2022). Testing the environmental kuznets curve hypothesis: The dynamic impact of nuclear energy on environmental sustainability in the context of economic globalization. Energy Strategy Reviews 44 , https://doi.org/10.1016/j.esr.2022.100970.
Zafer, A., & al. (2023). Assessing the stochastic behavior of fishing grounds footprint of top ten fishing countries. Regional Studies in Marine Science 63 , https://doi.org/10.1016/j.rsma.2023.103015.
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