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Evaluating the Environmental Phillips Curve Hypothesis in the STIRPAT Framework for Finland

Author

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  • Jani Kinnunen

    (Department of Information Systems, Åbo Akademi University, Tuomiokirkontori 3, 20500 Turku, Finland)

  • Irina Georgescu

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Ionuț Nica

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

Abstract

In the context of increasing concerns about environmental sustainability and economic growth, this study evaluates the Environmental Phillips Curve hypothesis within Finland’s STIRPAT framework from 1990 to 2022. Finland is renowned for its commitment to environmental policies and renewable energy innovations, yet it faces challenges in balancing economic growth with environmental protection. The identified problem is the need to understand the trade-offs between economic growth and environmental impact in this specific context. Using the ARDL model, we analyze the effects of GDP per capita, renewable energy consumption (RENC), urbanization (URB), and unemployment rates (UR) on greenhouse gas emissions (GHG). Our findings show that while GDP and urbanization increase GHG emissions, renewable energy significantly reduces them. The Error Correction Model highlights quick adjustments toward equilibrium, reflecting the effectiveness of Finland’s environmental policies. Short-term results confirm the limited impact of urbanization on GHG emissions, possibly due to advanced urban planning. The FMOLS, DOLS, and CCR techniques further support these findings, emphasizing the importance of renewable energy in mitigating environmental impacts. This study provides crucial insights for policymakers seeking to balance economic growth with environmental sustainability in Finland.

Suggested Citation

  • Jani Kinnunen & Irina Georgescu & Ionuț Nica, 2024. "Evaluating the Environmental Phillips Curve Hypothesis in the STIRPAT Framework for Finland," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4381-:d:1399495
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Andrew Adewale Alola & Tomiwa Sunday Adebayo, 2023. "Are green resource productivity and environmental technologies the face of environmental sustainability in the Nordic region?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 760-772, April.
    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. Pesaran, M Hashem, 1997. "The Role of Economic Theory in Modelling the Long Run," Economic Journal, Royal Economic Society, vol. 107(440), pages 178-191, January.
    5. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    6. 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.
    7. Peter Boswijk, H., 1994. "Testing for an unstable root in conditional and structural error correction models," Journal of Econometrics, Elsevier, vol. 63(1), pages 37-60, July.
    8. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    9. 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.
    10. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    12. Shu, Haicheng & Wang, Yu & Umar, Muhammad & Zhong, Yifan, 2023. "Dynamics of renewable energy research, investment in EnvoTech and environmental quality in the context of G7 countries," Energy Economics, Elsevier, vol. 120(C).
    13. Esposito, Luca, 2023. "Renewable energy consumption and per capita income: An empirical analysis in Finland," Renewable Energy, Elsevier, vol. 209(C), pages 558-568.
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