IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i17p6198-d1225657.html
   My bibliography  Save this article

The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches

Author

Listed:
  • Grzegorz Zimon

    (Faculty of Management, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

  • Dulal Chandra Pattak

    (Department of Banking & Insurance, University of Dhaka, Dhaka 1000, Bangladesh)

  • Liton Chandra Voumik

    (Department of Economics, Noakhali Science and Technology University, Noakhali 3814, Bangladesh)

  • Salma Akter

    (Department of Economics, Noakhali Science and Technology University, Noakhali 3814, Bangladesh)

  • Funda Kaya

    (Department of Environmental Health, Aydin Adnan Menderes University, Efeler, Aydin 09100, Türkiye)

  • Robert Walasek

    (Department of Logistics, Faculty of Management, University of Lodz, 90-237 Lodz, Poland)

  • Konrad Kochański

    (Institute of Economics and Finance, University of Szczecin, 71-101 Szczecin, Poland)

Abstract

This study intends to shed light on the environmental impacts of energy decisions in South Korea by analyzing the correlation between energy consumption patterns and environmental indicators such as carbon dioxide emissions. In 2021, global CO 2 emissions increased by 6%—to the highest ever level of 36.3 billion tons—according to the International Energy Agency (IEA). This increase in CO 2 emissions is a big problem for all countries around the world. The aim of this article is an analyze the impact of fossil fuels, renewable energy, and nuclear energy on South Korea’s environment based on the STIRPAT (stochastic impact by regression on population, affluence, and technology) model. Exploring the intricate nexus between economic and energy indicators and environmental outcomes, this study employs the STIRPAT model to analyze the influence of GDP, population dynamics, fossil fuels, renewable energy, and nuclear energy on South Korea’s environment. The yearly data from 1972 to 2021 are analyzed in this paper using an autoregressive distributed lag (ARDL) model. The reliability of this study is also examined by employing FMOLS (fully modified ordinary least squares) and CCR (canonical cointegrating regression) estimators. This study confirms the findings of previous research by showing that the rising South Korea GDP and population can lead to higher CO 2 emissions and that a strategy switching to renewable energy can cut down on CO 2 emissions in Korea, as it exhibits a coefficient of −0.085 *. The robustness results of FMOLS and CCR’s findings support baseline ARDL findings.

Suggested Citation

  • Grzegorz Zimon & Dulal Chandra Pattak & Liton Chandra Voumik & Salma Akter & Funda Kaya & Robert Walasek & Konrad Kochański, 2023. "The Impact of Fossil Fuels, Renewable Energy, and Nuclear Energy on South Korea’s Environment Based on the STIRPAT Model: ARDL, FMOLS, and CCR Approaches," Energies, MDPI, vol. 16(17), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6198-:d:1225657
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/17/6198/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/17/6198/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-143, January.
    2. Soren Jordan & Andrew Q. Philips, 2018. "Cointegration testing and dynamic simulations of autoregressive distributed lag modelsJournal: Stata Journal," Stata Journal, StataCorp LP, vol. 18(4), pages 902-923, December.
    3. Anindya Banerjee & Juan Dolado & Ricardo Mestre, 1998. "Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 267-283, May.
    4. Tanzeela YAQOOB & Maria BABI & Rimsha KHALID, 2022. "Does Globalization, Tourism, Foreign Direct Investment, and Natural Resources Influencing Ecological Footprint?," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 1-28, September.
    5. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2003. "Testing for a unit root in the nonlinear STAR framework," Journal of Econometrics, Elsevier, vol. 112(2), pages 359-379, February.
    6. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    7. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    8. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    9. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    10. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-1310, November.
    11. Adamantiades, A. & Kessides, I., 2009. "Nuclear power for sustainable development: Current status and future prospects," Energy Policy, Elsevier, vol. 37(12), pages 5149-5166, December.
    12. Hardik A. Marfatia, 2016. "The Role of Push and Pull Factors in Driving Global Capital Flows," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 62(2), pages 117-146.
    13. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    14. Fei, Li & Dong, Suocheng & Xue, Li & Liang, Quanxi & Yang, Wangzhou, 2011. "Energy consumption-economic growth relationship and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 39(2), pages 568-574, February.
    15. Jin, Taeyoung, 2022. "The evolutionary renewable energy and mitigation impact in OECD countries," Renewable Energy, Elsevier, vol. 189(C), pages 570-586.
    16. Regueiro-Ferreira, Rosa María & Alonso-Fernández, Pablo, 2023. "Interaction between renewable energy consumption and dematerialization: Insights based on the material footprint and the Environmental Kuznets Curve," Energy, Elsevier, vol. 266(C).
    17. Gheorghe H. Popescu, 2014. "FDI and Economic Growth in Central and Eastern Europe," Sustainability, MDPI, vol. 6(11), pages 1-15, November.
    18. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    19. Marzena Czarnecka & Katarzyna Chudy–Laskowska & Grzegorz Kinelski & Grzegorz Lew & Beata Sadowska & Magdalena Wójcik-Jurkiewicz & Borys Budka, 2022. "Grants and Funding for the Processes of Decarbonization in the Scope of Sustainability Development—The Case from Poland," Energies, MDPI, vol. 15(20), pages 1-20, October.
    20. Grzegorz Zimon & Dominik Zimon, 2020. "The Impact of Purchasing Group on the Profitability of Companies Operating in the Renewable Energy Sector—The Case of Poland," Energies, MDPI, vol. 13(24), pages 1-15, December.
    21. Nikolaos Dritsakis, 2004. "Tourism as a Long-Run Economic Growth Factor: An Empirical Investigation for Greece Using Causality Analysis," Tourism Economics, , vol. 10(3), pages 305-316, September.
    22. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    23. Azam Ghezelbash & Mitra Seyedzadeh & Vahid Khaligh & Jay Liu, 2023. "Impacts of Green Energy Expansion and Gas Import Reduction on South Korea’s Economic Growth: A System Dynamics Approach," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    24. McCallum, Bennett T., 2010. "Is the spurious regression problem spurious?," Economics Letters, Elsevier, vol. 107(3), pages 321-323, June.
    25. ., 2023. "Development indicators at the global level," Chapters, in: Macroeconomics for Development, chapter 2, pages 15-29, Edward Elgar Publishing.
    26. Shin, Yongcheol & Schmidt, Peter, 1992. "The KPSS stationarity test as a unit root test," Economics Letters, Elsevier, vol. 38(4), pages 387-392, April.
    27. Grzegorz Zimon, 2019. "An Assessment of the Strategy of Working Capital Management in Polish Energy Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 552-556.
    28. Peter Romilly & Haiyan Song & Xiaming Liu, 2001. "Car ownership and use in Britain: a comparison of the empirical results of alternative cointegration estimation methods and forecasts," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1803-1818.
    29. Gheorghe H. Popescu & Violeta Sima & Elvira Nica & Ileana Georgiana Gheorghe, 2017. "Measuring Sustainable Competitiveness in Contemporary Economies—Insights from European Economy," Sustainability, MDPI, vol. 9(7), pages 1-26, July.
    30. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    31. Sun, Yunpeng & Anwar, Ahsan & Razzaq, Asif & Liang, Xueping & Siddique, Muhammad, 2022. "Asymmetric role of renewable energy, green innovation, and globalization in deriving environmental sustainability: Evidence from top-10 polluted countries," Renewable Energy, Elsevier, vol. 185(C), pages 280-290.
    32. Altinay, Galip & Karagol, Erdal, 2004. "Structural break, unit root, and the causality between energy consumption and GDP in Turkey," Energy Economics, Elsevier, vol. 26(6), pages 985-994, November.
    33. Md. Hasanur Rahman & Liton Chandra Voumik & Md. Jamsedul Islam & Md. Abdul Halim & Miguel Angel Esquivias, 2022. "Economic Growth, Energy Mix, and Tourism-Induced EKC Hypothesis: Evidence from Top Ten Tourist Destinations," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raihan, Asif & Voumik, Liton Chandra & Akter, Salma & Ridzuan, Abdul Rahim & Fahlevi, Mochammad & Aljuaid, Mohammed & Saniuk, Sebastian, 2024. "Taking flight: Exploring the relationship between air transport and Malaysian economic growth," Journal of Air Transport Management, Elsevier, vol. 115(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dulal Chandra Pattak & Farian Tahrim & Mahdi Salehi & Liton Chandra Voumik & Salma Akter & Mohammad Ridwan & Beata Sadowska & Grzegorz Zimon, 2023. "The Driving Factors of Italy’s CO 2 Emissions Based on the STIRPAT Model: ARDL, FMOLS, DOLS, and CCR Approaches," Energies, MDPI, vol. 16(15), pages 1-21, August.
    2. Md. Shahiduzzaman & Khorshed Alam, 2014. "A reassessment of energy and GDP relationship: the case of Australia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(2), pages 323-344, April.
    3. Balsalobre-Lorente, Daniel & Bekun, Festus Victor & Etokakpan, Mfonobong Udom & Driha, Oana M., 2019. "A road to enhancements in natural gas use in Iran: A multivariate modelling approach," Resources Policy, Elsevier, vol. 64(C).
    4. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    5. Rasool, Samma Faiz & Zaman, Shah & Jehan, Noor & Chin, Tachia & Khan, Saleem & Zaman, Qamar uz, 2022. "Investigating the role of the tech industry, renewable energy, and urbanization in sustainable environment: Policy directions in the context of developing economies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    7. Oryani, Bahareh & Moridian, Ali & Sarkar, Biswajit & Rezania, Shahabaldin & Kamyab, Hesam & Khan, Muhammad Kamran, 2022. "Assessing the financial rеsоurсе curse hypothesis in Iran: Thе nоvеl dynаmiс АRDL approach," Resources Policy, Elsevier, vol. 78(C).
    8. Muhammad, Anees & Ishfaq, Ahmed, 2011. "Industrial development, agricultural growth, urbanization and environmental Kuznets curve in Pakistan," MPRA Paper 33469, University Library of Munich, Germany.
    9. Maxwell Chukwudi Udeagha & Nicholas Ngepah, 2022. "Dynamic ARDL Simulations Effects of Fiscal Decentralization, Green Technological Innovation, Trade Openness, and Institutional Quality on Environmental Sustainability: Evidence from South Africa," Sustainability, MDPI, vol. 14(16), pages 1-35, August.
    10. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    11. Koçak, Emrah & Önderol, Seyit & Khan, Kamran, 2021. "Structural change, modernization, total factor productivity, and natural resources sustainability: An assessment with quantile and non-quantile estimators," Resources Policy, Elsevier, vol. 74(C).
    12. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    13. Yongliang Zhang & Md. Qamruzzaman & Salma Karim & Ishrat Jahan, 2021. "Nexus between Economic Policy Uncertainty and Renewable Energy Consumption in BRIC Nations: The Mediating Role of Foreign Direct Investment and Financial Development," Energies, MDPI, vol. 14(15), pages 1-29, August.
    14. Dogan, Eyup & Seker, Fahri, 2016. "Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy," Renewable Energy, Elsevier, vol. 94(C), pages 429-439.
    15. Muhammad Qayyum & Minhaj Ali & Mir Muhammad Nizamani & Shijie Li & Yuyuan Yu & Atif Jahanger, 2021. "Nexus between Financial Development, Renewable Energy Consumption, Technological Innovations and CO 2 Emissions: The Case of India," Energies, MDPI, vol. 14(15), pages 1-19, July.
    16. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2019. "Dynamics of oil price, precious metal prices and the exchange rate in the long-run," Energy Economics, Elsevier, vol. 84(C).
    17. Ogali, Oscar I.O. & Okoro, Emeka E. & Olafuyi, Saburi G., 2023. "Assessing consensus on nexus between natural gas consumption and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    18. Muhammad Shahbaz & Ronald Ravinesh Kumar & Stanislav Ivanov & Nanthakumar Loganathan, 2017. "The nexus between tourism demand and output per capita with the relative importance of trade openness and financial development," Tourism Economics, , vol. 23(1), pages 168-186, February.
    19. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    20. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6198-:d:1225657. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.