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Analysis of the Relationship Between Economic Growth and Public Expenditures with Time-Varying Models: The Case of TR NUTS Level-1

Author

Listed:
  • Mustafa Gökmenoğlu

    (Suleyman Demirel University, Institute of Social Sciences, Isparta, Turkiye)

  • İsmail Sadık Yavuz

    (Suleyman Demirel University, Institute of Social Sciences, Isparta, Turkiye)

Abstract

The study examines the relationship between public expenditures and economic growth for the Nomenclature of Units for Territorial Statistics (NUTS) Level-1 in the period from January 2016 to September 2024. The primary objective of the study is to assess the regional differences in the relationship between variables and to provide an evaluation of the hypotheses. To achieve this, the Time-Varying Konya Panel Causality test has been applied. The tests conducted to understand the relationship between growth, derived from electricity consumption, and COFOG Level-1 expenditures, reveal regional differences based on development levels. Indeed, in regions between TR1-TR7, which can be characterized as developed and densely populated, the findings support the Wagnerian hypothesis. On the other hand, in developing regions between TR8-TRC, the existence of causality from public expenditures to economic growth supports the Keynesian hypothesis.

Suggested Citation

  • Mustafa Gökmenoğlu & İsmail Sadık Yavuz, 2025. "Analysis of the Relationship Between Economic Growth and Public Expenditures with Time-Varying Models: The Case of TR NUTS Level-1," Economic Research Guardian, Mutascu Publishing, vol. 15(2), pages 161-182, December.
    • Handle: RePEc:wei:journl:v:15:y:2025:i:2:p:161-182
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    References listed on IDEAS

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    1. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    2. Adolph Wagner, 1958. "Three Extracts on Public Finance," International Economic Association Series, in: Richard A. Musgrave & Alan T. Peacock (ed.), Classics in the Theory of Public Finance, pages 1-15, Palgrave Macmillan.
    3. Asuman Oktayer & Nagihan Oktayer, 2013. "Testing Wagner's Law for Turkey: Evidence from a Trivariate Causality Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(2), pages 284-301.
    4. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
    5. Ram, Rati, 1986. "Comparing evidence on Wagner's hypothesis from conventional and 'real' data," Economics Letters, Elsevier, vol. 20(3), pages 259-262.
    6. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    7. Ramey, Garey & Ramey, Valerie A, 1995. "Cross-Country Evidence on the Link between Volatility and Growth," American Economic Review, American Economic Association, vol. 85(5), pages 1138-1151, December.
    8. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1043-1078, November.
    9. Julian Inchauspe & Garry MacDonald & Moch Abdul Kobir, 2022. "Wagner’s Law and the Dynamics of Government Spending on Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 58(1), pages 79-95, January.
    10. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1329-1368.
    11. Nadeem Burney, 2002. "Wagner's hypothesis: evidence from Kuwait using cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 34(1), pages 49-57.
    12. Gizem Uzuner & Festus Victor Bekun & Seyi Saint Akadiri, 2017. "Public Expenditures and Economic Growth: Was Wagner Right? Evidence from Turkey," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(2), pages 36-40, June.
    13. Alberto Iniguez-Montiel, 2010. "Government expenditure and national income in Mexico: Keynes versus Wagner," Applied Economics Letters, Taylor & Francis Journals, vol. 17(9), pages 887-893.
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    More about this item

    Keywords

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    JEL classification:

    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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