Abstract
To date, economic growth, development, and employment have been among the priorities of governments. However, as human-induced environmental damage has reached unsustainable levels, neglected environmental factors have been brought into the equation for future policy. The environmental Phillips curve (EPC) is one of the challenging equations that presents governments with a dilemma between unemployment and environmental quality. With this motivation, this is the first time the paper questions the validity of the EPC in Turkiye. Moreover, in contrast to the EPC literature, the paper uses the load capacity factor to focus on environmental quality rather than pollution. In this framework, the empirical model analyses the effect of gross domestic product, unemployment rate, natural resource rents, and primary energy consumption on the environmental quality for 1982–2022. The newly developed Augmented Autoregressive Distributed Lag (A-ARDL) with Fourier term results reveal that (i) the model is cointegrated; (ii) unemployment confirms the validity of EPC by promoting environmental quality; and (iii) gross domestic product, natural resource rents, and primary energy consumption accelerate environmental degradation. The findings indicate that employment and environmental policies cannot be successful simultaneously. To solve this puzzle, efforts should be made towards environmentally friendly forms of production, such as renewable energy sources. These policies can both stimulate employment and improve the environment.
Similar content being viewed by others
Data availability
Data will be made available on request.
Notes
3: “In line with the 2053 net zero carbon emission target, studies will be carried out to prepare a long-term low-emission development strategy compatible with the development plans.” 4: “Within the scope of the European Green Deal, Sectoral road maps will be prepared for companies on issues such as resource, process and energy efficiency and digitalization. Moreover, awareness-raising activities on European Green Deal will be carried out.” 7: “With Carbon Border Adjustment Mechanism (CBAM) and the 2053 net zero emission target in mind, technologies such as energy storage, hydrogen, and carbon capture and storage that support energy transformation, as well as R&D and innovation activities for the development of microgrid management and digitalization will be supported.” 13: “The effects of the transitioning to a green and circular economy on labor markets will be analyzed, and the competency of the workforce will be increased for the new occupations that will emerge, taking just transition into account.” 20: “With the Renewable Energy Resource Area (RERA-YEKA) model, projects will continue to be developed enforcing prioritization of domestic products.” 27: “Financing opportunities for green transformation will be increased; existing support mechanisms will be reviewed. The institutional capacity on sustainable finance will be improved, and the green finance ecosystem will be developed.” (Presidency of Strategy and Budget, 2023).
4th paragraph: “Special attention will be paid to the opportunities offered by green and digital transformation, with a focus on increasing potential growth rates through the effective and efficient use of Türkiye's financial and natural resources, especially human capital. Türkiye's international competitive position will be strengthened through sustainable, low-emission, high-technology-based production techniques by adopting integrated and environmentally friendly policies especially in the energy, industry, transportation and agriculture sectors.” (Presidency of Strategy and Budget, 2023).
References
Ahmed, Z., Caglar, A. E., & Murshed, M. (2022). A path towards environmental sustainability: The role of clean energy and democracy in ecological footprint of Pakistan. Journal of Cleaner Production, 358, 132007. https://doi.org/10.1016/j.jclepro.2022.132007
Akhayere, E., Kartal, M. T., Adebayo, T. S., & Kavaz, D. (2023). Role of energy consumption and trade openness towards environmental sustainability in Turkey. Environmental Science and Pollution Research, 30(8), 21156–21168. https://doi.org/10.1007/s11356-022-23639-9
Anser, M. K., Apergis, N., Syed, Q. R., & Alola, A. A. (2021). Exploring a new perspective of sustainable development drive through environmental Phillips curve in the case of the BRICST countries. Environmental Science and Pollution Research, 28(35), 48112–48122. https://doi.org/10.1007/s11356-021-14056-5
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.2014.11.026
Bhowmik, R., Syed, Q. R., Apergis, N., Alola, A. A., & Gai, Z. (2022). Applying a dynamic ARDL approach to the environmental Phillips curve (EPC) hypothesis amid monetary, fiscal, and trade policy uncertainty in the USA. Environmental Science and Pollution Research, 29, 14914–14928. https://doi.org/10.1007/s11356-021-16716-y
Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239–253. https://doi.org/10.2307/2297111
Bulut, U. (2021). Environmental sustainability in Turkey: An environmental Kuznets curve estimation for ecological footprint. International Journal of Sustainable Development & World Ecology, 28(3), 227–237. https://doi.org/10.1080/13504509.2020.1793425
Caglar, A. E., Daştan, M., Mehmood, U., & Avci, S. B. (2023a). Assessing the connection between competitive industrial performance on load capacity factor within the LCC framework: Implications for sustainable policy in BRICS economies. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-29178-1
Caglar, A. E., Pata, U. K., Ulug, M., & Zafar, M. W. (2023b). Examining the impact of clean environmental regulations on load capacity factor to achieve sustainability: Evidence from APEC economies. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.139563
Caglar, A. E., Daştan, M., & Rej, S. (2023c). A new look at China’s environmental quality: How does environmental sustainability respond to the asymmetrical behavior of the competitive industrial sector? International Journal of Sustainable Development & World Ecology. https://doi.org/10.1080/13504509.2023.2248584
Caglar, A. E., Daştan, M., Bulut, E., & Marangoz, C. (2023d). Evaluating a pathway for environmental sustainability: The role of competitive industrial performance and renewable energy consumption in European countries. Sustainable Development. https://doi.org/10.1002/sd.2755
Caglar, A. E., & Yavuz, E. (2023). The role of environmental protection expenditures and renewable energy consumption in the context of ecological challenges: Insights from the European Union with the novel panel econometric approach. Journal of Environmental Management, 331, 117317. https://doi.org/10.1016/j.jenvman.2023.117317
Caglar, A. E., Yavuz, E., Mert, M., & Kilic, E. (2022). The ecological footprint facing asymmetric natural resources challenges: Evidence from the USA. Environmental Science and Pollution Research, 29, 10521–10534. https://doi.org/10.1007/s11356-021-16406-9
Chishti, M. Z., Ahmad, M., Rehman, A., & Khan, M. K. (2021). Mitigations pathways towards sustainable development: Assessing the influence of fiscal and monetary policies on carbon emissions in BRICS economies. Journal of Cleaner Production, 292, 126035. https://doi.org/10.1016/j.jclepro.2021.126035
Djedaiet, A. (2023). Does environmental quality react asymmetrically to unemployment and inflation rates? African OPEC countries’ perspective. Environmental Science and Pollution Research, 30, 1–10. https://doi.org/10.1007/s11356-023-29621-3
Dogan, E., Majeed, M. T., & Luni, T. (2022). Revisiting the nexus of ecological footprint, unemployment, and renewable and non-renewable energy for South Asian economies: Evidence from novel research methods. Renewable Energy, 194, 1060–1070. https://doi.org/10.1016/j.renene.2022.05.165
Dou, Y., Chen, F., Kong, Z., & Dong, K. (2023). Re-estimating the trade openness–carbon emissions nexus: A global analysis considering nonlinear, mediation, and heterogeneous effects. Applied Economics. https://doi.org/10.1080/00036846.2023.2166659
Durani, F., Bhowmik, R., Sharif, A., Anwar, A., & Syed, Q. R. (2023). Role of economic uncertainty, financial development, natural resources, technology, and renewable energy in the environmental Phillips curve framework. Journal of Cleaner Production, 420, 138334. https://doi.org/10.1016/j.jclepro.2023.138334
Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. https://doi.org/10.1111/j.1468-0084.2011.00662.x
Fu, H., Guo, W., Sun, Z., & Xia, T. (2023). Asymmetric impact of natural resources rent, monetary and fiscal policies on environmental sustainability in BRICS countries. Resources Policy, 82, 103444. https://doi.org/10.1016/j.resourpol.2023.103444
GFN (2023). Global footprint network, https://www.footprintnetwork.org/, (04.08.2023).
Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free trade agreement. National Bureau of Economic Research, Work. Pap. Ser. No. 3914. https://doi.org/10.3386/w3914
Guloglu, B., Caglar, A. E., & Pata, U. K. (2023). Analyzing the determinants of the load capacity factor in OECD countries: Evidence from advanced quantile panel data methods. Gondwana Research, 118, 92–104. https://doi.org/10.1016/j.gr.2023.02.013
Haciimamoğlu, T. (2023). A new approach to sustainable development: Analysis of the environmental Phillips curve hypothesis. Sosyoekonomi, 31(56), 11–25. https://doi.org/10.17233/sosyoekonomi.2023.02.01
Halicioglu, F. (2009). An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3), 1156–1164. https://doi.org/10.1016/j.enpol.2008.11.012
IMF (2023). International monetary fund, https://www.imf.org/en/Publications/WEO/weo-database/2023/April, (04.08.2023).
Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review/revue Internationale De Statistique. https://doi.org/10.2307/1403192
Jie, H., Khan, I., Alharthi, M., Zafar, M. W., & Saeed, A. (2023). Sustainable energy policy, socio-economic development, and ecological footprint: The economic significance of natural resources, population growth, and industrial development. Utilities Policy, 81, 101490. https://doi.org/10.1016/j.jup.2023.101490
Kartal, M. T., Pata, U. K., Destek, M. A., & Caglar, A. E. (2023). Environmental effect of clean energy research and development investments: Evidence from Japan by using load capacity factor. Journal of Cleaner Production, 416, 137972. https://doi.org/10.1016/j.jclepro.2023.137972
Kashem, M. A., & Rahman, M. M. (2020). Environmental Phillips curve: OECD and Asian NICs perspective. Environmental Science and Pollution Research, 27, 31153–31170. https://doi.org/10.1007/s11356-020-08620-8
Kirikkaleli, D., Adebayo, T. S., Khan, Z., & Ali, S. (2021). Does globalization matter for ecological footprint in Turkey? Evidence from dual adjustment approach. Environmental Science and Pollution Research, 28(11), 14009–14017. https://doi.org/10.1007/s11356-020-11654-7
Koyuncu Çakmak, T., Beşer, M. K., & Alola, A. A. (2023). Environmental effect of high-, upper, and lower middle-income economies’ energy mix: Is there a trade-off between unemployment and environmental quality? Energy & Environment. https://doi.org/10.1177/0958305X231187034
Li, S., Samour, A., Irfan, M., & Ali, M. (2023). Role of renewable energy and fiscal policy on trade adjusted carbon emissions: Evaluating the role of environmental policy stringency. Renewable Energy, 205, 156–165. https://doi.org/10.1016/j.renene.2023.01.047
Lipsey, R. G. (1960). The relation between unemployment and the rate of change of money wage rates in the United Kingdom, 1862–1957: A further analysis. Economica. https://doi.org/10.2307/2551424
Liu, Y. Q., & Feng, C. (2022). The effects of nurturing pressure and unemployment on carbon emissions: Cross-country evidence. Environmental Science and Pollution Research, 29(34), 52013–52032. https://doi.org/10.1007/s11356-022-19515-1
Malik, Z., & Shaikh, O. (2023). The EPC hypothesis revisited in G-20 countries: A novel panel data analysis. IJCRT, 11(3), e305–e317.
McNown, R., Sam, C. Y., & Goh, S. K. (2018). Bootstrapping the autoregressive distributed lag test for cointegration. Applied Economics, 50(13), 1509–1521. https://doi.org/10.1080/00036846.2017.1366643
Ng, C. F., Yii, K. J., Lau, L. S., & Go, Y. H. (2022). Unemployment rate, clean energy, and ecological footprint in OECD countries. Environmental Science and Pollution Research, 30, 42863–42872. https://doi.org/10.1007/s11356-021-17966-6
Okun, A. M. (1962). Real GDP growth and the unemployment rate. Cowles Foundation for Research in Economics, Yale University.
OWID (2023b). Our world in data, https://github.com/owid/energy-data/find/master, (04.08.2023).
OWID (2023a). Our world in data, https://ourworldindata.org/co2-emissions (14.08.2023).
Pata, U. K. (2021). Renewable and non-renewable energy consumption, economic complexity, CO2 emissions, and ecological footprint in the USA: Testing the EKC hypothesis with a structural break. Environmental Science and Pollution Research, 28, 846–861. https://doi.org/10.1007/s11356-020-10446-3
Pata, U. K., & Balsalobre-Lorente, D. (2022). Exploring the impact of tourism and energy consumption on the load capacity factor in Turkey: A novel dynamic ARDL approach. Environmental Science and Pollution Research, 29(9), 13491–13503. https://doi.org/10.1007/s11356-021-16675-4
Pata, U. K., Caglar, A. E., Kartal, M. T., & Depren, S. K. (2023). Evaluation of the role of clean energy technologies, human capital, urbanization, and income on the environmental quality in the United States. Journal of Cleaner Production, 402, 136802. https://doi.org/10.1016/j.jclepro.2023.136802
Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica Journal of the Econometric Society, 57(6), 1361–1401. https://doi.org/10.2307/1913712
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Phillips, A. W. (1958). The relation between unemployment and the rate of change of money wage rates in the United Kingdom, 1861–1957. Economica, 25(100), 283–299.
Ponce, P., Álvarez-García, J., Álvarez, V., & Irfan, M. (2023). Analysing the influence of foreign direct investment and urbanization on the development of private financial system and its ecological footprint. Environmental Science and Pollution Research, 30(4), 9624–9641. https://doi.org/10.1007/s11356-022-22772-9
Presidency of Strategy and Budget (2023). The medium term program (2024–2026), https://www.sbb.gov.tr/wp-content/uploads/2023/09/Medium-Term-Program-2024-2026.pdf (22.08.2023).
Quito, B., del Río-Rama, M. D. L. C., Álvarez-García, J., & Durán-Sánchez, A. (2023). Impacts of industrialization, renewable energy and urbanization on the global ecological footprint: A quantile regression approach. Business Strategy and the Environment, 32(4), 1529–1541. https://doi.org/10.1002/bse.3203
Rayhan, I., Al Nahian, M. A., & Siddika, A. (2020). Re-evaluating the environmental Kuznets curve and environmental Phillips curve in Bangladesh: An augmented ARDL bounds test approach with a structural break. The Jahangirnagar Economic Review, 31, 109–134.
Rehman, E., & Rehman, S. (2022). Modeling the nexus between carbon emissions, urbanization, population growth, energy consumption, and economic development in Asia: Evidence from grey relational analysis. Energy Reports, 8, 5430–5442. https://doi.org/10.1016/j.egyr.2022.03.179
Sam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130–141. https://doi.org/10.1016/j.econmod.2018.11.001
Samuelson, P. A., & Solow, R. M. (1960). Analytical aspects of anti-inflation policy. The American Economic Review, 50(2), 177–194.
Saqib, N., Ozturk, I., & Usman, M. (2023). Investigating the implications of technological innovations, financial inclusion, and renewable energy in diminishing ecological footprints levels in emerging economies. Geoscience Frontiers, 14(6), 101667. https://doi.org/10.1016/j.gsf.2023.101667
Shahbaz, M., & Sinha, A. (2019). Environmental Kuznets curve for CO2 emissions: A literature survey. Journal of Economic Studies, 46(1), 106–168. https://doi.org/10.1108/JES-09-2017-0249
Shang, L., & Xu, P. (2022). Can carbon emission regulation achieve a dual target of low carbon and employment? An empirical analysis based on China’s provincial panel data. Frontiers in Energy Research, 10, 926443. https://doi.org/10.3389/fenrg.2022.926443
Sharif, A., Baris-Tuzemen, O., Uzuner, G., Ozturk, I., & Sinha, A. (2020). Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: Evidence from Quantile ARDL approach. Sustainable Cities and Society, 57, 102138. https://doi.org/10.1016/j.scs.2020.102138
Shastri, S., Mohapatra, G., & Giri, A. K. (2023). The environmental Philips curve from a gender perspective: Empirical evidence from India. Environmental Science and Pollution Research, 30(7), 17487–17496. https://doi.org/10.1007/s11356-022-23336-7
Siche, R., Pereira, L., Agostinho, F., & Ortega, E. (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. https://doi.org/10.1016/j.cnsns.2009.10.027
Solarin, S. A. (2019). Modelling the relationship between financing by islamic banking system and environmental quality: Evidence from bootstrap autoregressive distributive lag with Fourier terms. Quality & Quantity, 53(6), 2867–2884. https://doi.org/10.1007/s11135-019-00904-7
Tanveer, A., Song, H., Faheem, M., & Chaudhry, I. S. (2022). Validation of environmental Philips curve in Pakistan: A fresh insight through ARDL technique. Environmental Science and Pollution Research, 29, 25060–25077. https://doi.org/10.1007/s11356-021-17099-w
Tariq, S., Mehmood, U., Ul Haq, Z., & Mariam, A. (2022). Exploring the existence of environmental Phillips curve in South Asian countries. Environmental Science and Pollution Research, 29(23), 35396–35407. https://doi.org/10.1007/s11356-021-18099-6
Ullah, A., Tekbaş, M., & Doğan, M. (2023). The impact of economic growth, natural resources, urbanization and biocapacity on the ecological footprint: The case of Turkey. Sustainability, 15(17), 12855. https://doi.org/10.3390/su151712855
UN (2023). United nations, https://sdgs.un.org/goals (14.08.2023).
Wang, Q., & Li, L. (2021). The effects of population aging, life expectancy, unemployment rate, population density, per capita GDP, urbanization on per capita carbon emissions. Sustainable Production and Consumption, 28, 760–774. https://doi.org/10.1016/j.spc.2021.06.029
Wang, Q., Zhang, F., Li, R., & Li, L. (2022). The impact of renewable energy on decoupling economic growth from ecological footprint–an empirical analysis of 166 countries. Journal of Cleaner Production, 354, 131706. https://doi.org/10.1016/j.jclepro.2022.131706
WDI (2023). World development indicators, https://databank.worldbank.org/source/world-development-indicators, (22.08.2023).
White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica Journal of the Econometric Society. https://doi.org/10.2307/1912934
Xin, Y., Yang, S., & Faisal Rasheed, M. (2023). Exploring the impacts of education and unemployment on CO2 emissions. Economic Research. https://doi.org/10.1080/1331677X.2022.2110139
Yang, X., Li, N., Mu, H., Zhang, M., Pang, J., & Ahmad, M. (2021). Study on the long-term and short-term effects of globalization and population aging on ecological footprint in OECD countries. Ecological Complexity, 47, 100946. https://doi.org/10.1016/j.ecocom.2021.100946
Zafar, M. W., Saleem, M. M., Destek, M. A., & Caglar, A. E. (2022). The dynamic linkage between remittances, export diversification, education, renewable energy consumption, economic growth, and CO2 emissions in top remittance-receiving countries. Sustainable Development, 30(1), 165–175. https://doi.org/10.1002/sd.2236
Zafar, M. W., Zaidi, S. A. H., Khan, N. R., Mirza, F. M., Hou, F., & Kirmani, S. A. A. (2019). The impact of natural resources, human capital, and foreign direct investment on the ecological footprint: The case of the United States. Resources Policy, 63, 101428. https://doi.org/10.1016/j.resourpol.2019.101428
Acknowledgements
Not applicable.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Ethical approval and consent to participate
Not applicable.
Consent for Publication
The authors are willing to permit the Journal to publish the article.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Yavuz, E., Kilic, E. & Caglar, A.E. A new hypothesis for the unemployment-environment dilemma: is the environmental Phillips curve valid in the framework of load capacity factor in Turkiye?. Environ Dev Sustain (2023). https://doi.org/10.1007/s10668-023-04258-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10668-023-04258-x