Pokaż uproszczony rekord

dc.contributor.authorGençosmanoğlu, Ömer Tarık
dc.contributor.authorYamanoğlu, Kemal Buğra
dc.date.accessioned2025-03-21T15:32:58Z
dc.date.available2025-03-21T15:32:58Z
dc.date.issued2024-11-08
dc.identifier.issn1231-1952
dc.identifier.urihttp://hdl.handle.net/11089/55059
dc.description.abstractThe study of regional fiscal convergence is a recent extension of the neoclassical growth theory. Various studies have shown the existence of fiscal convergence across countries or states in federally governed countries. This paper tests the growth theory on income and fiscal variables differently in a centrally ruled country. Therefore, we estimate spatial and non-spatial panel models from 2004 to 2022 for Türkiye. A general-to-specific methodology is applied for selecting an appropriate model to determine spatial interactions of the variables by using the panel data at the level of 81 Turkish provinces. The Ordinary Least Squares (OLS) estimation results from the non-spatial model partially validate the growth theory as the study does not find evidence of absolute convergence for government expenditures. The results, however, confirm the conditional convergence for all variables. The Maximum Likelihood (ML) method is applied for the estimation of the dynamic and static spatial panel models to explain their spatial interactions. The ML findings are consistent with the OLS results. Moreover, unlike direct and total effects, it is not possible to define indirect effects explaining spatial spillover effects in the short and long terms.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesEuropean Spatial Research and Policy;2en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectspatial econometricsen
dc.subjectdynamic spatial panel modelsen
dc.subjectincome convergenceen
dc.subjectfiscal convergenceen
dc.titleTesting the Solow Hypothesis for Fiscal Convergence: a Dynamic Spatial Analysisen
dc.typeArticle
dc.page.number5-35
dc.contributor.authorAffiliationGençosmanoğlu, Ömer Tarık - Ankara University, Faculty of Political Sciences, Cemal Gürsel Caddesi, Cebeci Yerleşkesien
dc.contributor.authorAffiliationYamanoğlu, Kemal Buğra - Ministry of Trade, Söğütözü Mahallesi Nizami Gencevi Caddesien
dc.identifier.eissn1896-1525
dc.referencesACEMOĞLU, D. and MOLINA, C. A. (2021), Converging to convergence? A comment, NBER working paper no. 28992. https://doi.org/10.3386/w28992en
dc.referencesAKÇAGÜN, P. (2017), ‘Provincial growth in Turkey: A spatial econometric analysis’, Applied Spatial Analysis and Policy, 10, pp. 271–299. https://doi.org/10.1007/s12061-016-9183-5en
dc.referencesALATAŞ, S. and SARI, E. (2021), ‘An empirical investigation on regional disparities in public expenditures: Province level evidence from Turkey’, Social Indicators Research, 158 (1), pp. 217−240. https://doi.org/10.1007/s11205-021-02691-xen
dc.referencesANNALA, C. N. (2003), ‘Have state and local fiscal policies become more alike? Evidence of beta convergence among fiscal policy variables’, Public Finance Review, 31 (2), pp. 144−165. https://doi.org/10.1177/1091142102250327en
dc.referencesANSELIN, L. (2001), ‘Spatial effects in econometric practice in environmental and resource economics’, American Journal of Agricultural Economics, 83 (3), pp. 705−710. http://www.jstor.org/stable/1245103en
dc.referencesARBIA, G. and PIRAS, G. (2005), Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects, ISAE working paper no. 51. https://doi.org/10.2139/ssrn.936327en
dc.referencesARBIA, G., BASILE, R. and PIRAS, G. (2005), Using spatial panel data in modelling regional growth and convergence, ISAE working paper no. 55. https://doi.org/10.2139/ssrn.936321en
dc.referencesARBIA, G., LE GALLO, J. and PIRAS, G. (2008), ‘Does evidence on regional economic convergence depend on the estimation strategy? Outcomes from analysis of a set of NUTS2 EU regions’, Spatial Economic Analysis, 3 (2), pp. 209−224. https://doi.org/10.1080/17421770801996664en
dc.referencesBARRO, R. J. (2012), Convergence and modernization revisited, NBER working paper no. 18295. https://doi.org/10.3386/w18295en
dc.referencesBARRO, R. J. (2016), ‘Economic growth and convergence, applied to China’, China&World Economy, 24 (5), pp. 5−19. https://doi.org/10.1111/cwe.12172en
dc.referencesBARRO, R. J. and SALA-I MARTIN, X. (1990), Economic growth and convergence across the United States, NBER working paper no. 3419. https://doi.org/10.3386/w3419en
dc.referencesBARRO, R. J. and SALA-I-MARTIN, X. (1992), ‘Convergence’, Journal of Political Economy, 100 (2), pp. 223−251. http://www.jstor.org/stable/2138606en
dc.referencesBARRO, R. J. and SALA-I MARTIN, X. (2004), Economic growth second edition, Massachusetts: Cambridge.en
dc.referencesBAUMOL, W. J. (1986), ‘Productivity growth, convergence and welfare: What the long run data show’, The American Economic Review, 76 (5), pp. 1072–1085. http://www.jstor.org/stable/1816469en
dc.referencesCANOVA, F. and MARCET, A. (1995), The poor stay poor: non-convergence across countries and regions, CEPR discussion paper no. 1265. https://ssrn.com/abstract=289497en
dc.referencesCASELLI, F., ESQUIVEL, G. and LEFORT, F. (1996), ‘Reopening the convergence debate: a new look at cross-country growth empirics’, Journal of Economic Growth, 1 (3), pp. 363−389. http:// www.jstor.org/stable/40215922en
dc.referencesCELEBIOGLU, F. and DALL’ERBA, S. (2010), ‘Spatial disparities across the regions of Turkey: An exploratory spatial data analysis’, Annals of Regional Science, 45 (2), pp. 379–400. https:// doi.org/10.1007/s00168-009-0313-8en
dc.referencesCOUGHLIN, C. C., GARRETT, T. A. and HERNÁNDEZ-MURILLO, R. (2007), ‘Spatial dependence in models of state fiscal policy convergence’, Public Finance Review, 35 (3), pp. 361−384. https://doi.org/10.1177/1091142106295766en
dc.referencesDE LA FUENTE, A. (1997), ‘The empirics of growth and convergence: A selective review’, Journal of Economic Dynamics and Control, 21 (1), pp. 23−73. https://doi.org/10.1016/0165-1889(95)00925-6en
dc.referencesDE LA FUENTE, A. (2000), Convergence across countries and regions: Theory and empirics, EIB discussion paper no. 2465, http://hdl.handle.net/10419/44793 [accessed on: 21.12.2023].en
dc.referencesELHORST, J. P. (2010), ‘Spatial panel data models’, [in:] FISCHER, M. M. and GETIS, A. (eds), Handbook of applied spatial analysis: Software tools, methods and applications, Berlin: Springer, pp. 377–408. https://doi.org/10.1007/978-3-642-03647-7_19en
dc.referencesELHORST, J. P., PIRAS, G. and ARBIA, G. (2010), ‘Growth and convergence in a multiregional model with space-time dynamics’, Geographical Analysis, 42 (3), pp. 338–355. https://doi.org/10.1111/j.1538-4632.2010.00796.xen
dc.referencesERTUR, C. and KOCH, W. (2007), ‘Technological interdependence and spatial externalities: Theory and evidence’, Journal of Applied Econometrics, 22 (6), pp. 1033−1062. https://doi.org/10.1002/jae.963en
dc.referencesEVANS, P. and KIM, J. U. (2014), ‘The spatial dynamics of growth and convergence in Korean regional incomes’, Applied Economics Letters, 21 (16), pp. 1139−1143. https://doi.org/10.1080/13504851.2014.914133en
dc.referencesFILIZTEKIN, A. (1998), ‘Convergence across industries and provinces in Turkey’, Ekonomi-Tek, 7 (3), pp. 1−32, https://dergipark.org.tr/en/pub/ekonomitek/issue/61731/922776 [accessed on: 21.12.2023].en
dc.referencesGALOR, O. (1996), ‘Convergence? Inferences from theoretical models’, The Economic Journal, 106 (437), pp. 1056−1069. https://www.jstor.org/stable/i339130 [accessed on: 3.12.2023].en
dc.referencesGEMMELL, N. and KNELLER, R. (2003), Fiscal policy, growth and convergence in Europe, New Zealand Treasury working paper no. 03/14, https://treasury.govt.nz/sites/default/files/2007-09/twp03-14.pdf [accessed on: 21.10.2023].en
dc.referencesGEZICI, F. and HEWINGS, G. J. (2004), ‘Regional convergence and the economic performance of peripheral areas in Turkey’, Review of Urban & Regional Development Studies, 16 (2), pp. 113−132. https://doi.org/10.1111/j.1467-940X.2004.00082.xen
dc.referencesGEZICI, F. and HEWINGS, G. J. (2007), ‘Spatial analyses of regional inequalities in Turkey’, European Planning Studies, 15 (3), pp. 383−403. https://doi.org/10.1080/09654310601017091en
dc.referencesISLAM, N. (1995), ‘Growth empirics: A panel data approach’, The Quarterly Journal of Economics, 110 (4), pp. 1127−1170. https://doi.org/10.2307/2946651en
dc.referencesKARAŞ, G. and KARAŞ, E. (2023), ‘Testing convergence of fiscal policies in regions of Türkiye’, Ekonomika, 102 (1), pp. 26–40. https://doi.org/10.15388/Ekon.2023.102.1.2en
dc.referencesKREMER, M., WILLIS, J. and YOU, Y. (2021), ‘Converging to convergence’, [in:] EICHEN-BAUM, M. S. and HURST, E. (eds), NBER Macroeconomics Annual 2021, 36, University of Chicago Press, pp. 337−412. https://doi.org/10.1086/718672en
dc.referencesLEE, M., LONGMIRE, R., MATYAS, L. and HARRIS, M. (1998), ‘Growth convergence: Some panel data evidence’, Applied Economics, 30 (7), pp. 907−912. https://doi.org/10.1080/000368498325336en
dc.referencesLE GALLO, J. (2002), ‘Econométrie spatiale: l’autocorrélation spatiale dans les modèles de régression linéaire’, Economie prévision, 155 (4), pp. 139–157. https://doi.org/10.3406/ecop.2002.6875en
dc.referencesLE GALLO, J. and DALL’ERBA, S. (2003), Spatial econometric analysis of the evolution of the European convergence process 1980–1999, working paper no. 0311001, Washington DC: Washington University, https://www.researchgate.net/publication/23749575 [accessed on: 19.12 2023].en
dc.referencesLE GALLO, J. and DALL’ERBA, S. (2008), ‘Spatial and sectoral productivity convergence between European Regions, 1975–2000’, Papers in Regional Science, 87 (4), pp. 505−525. https://doi.org/10.1111/j.1435-5957.2007.00159.xen
dc.referencesLE GALLO, J., ERTUR, C. and BAUMONT, C. (2003). ‘A Spatial Econometric Analysis of Convergence Across European Regions, 1980–1995’, [in:] FINGLETON, B. (ed.), European Regional Growth, Berlin, Heidelberg, pp. 99−129. https://doi.org/10.1007/978-3-662-07136-6_4en
dc.referencesLESAGE, J. and PACE, R. K. (2009), Introduction to spatial econometrics, Chapman and Hall/CRC. https://doi.org/10.4000/rei.3887en
dc.referencesMANKIW, N. G., ROMER, D. and WEIL, D. N. (1992), ‘A contribution to the empirics of economic growth’, The Quarterly Journal of Economics, 107 (2), pp. 407−437. https://doi.org/10.2307/2118477en
dc.referencesMAZA, A. and VILLAVERDE, J. (2009), ‘Spatial effects on provincial convergence and income distribution in Spain: 1985–2003’, Tijdschrift voor Economische en Sociale Geografie, 100 (3), pp. 316–331. https://doi.org/10.1111/j.1467-9663.2009.00519.xen
dc.referencesMORAN, P. A. P. (1950), ‘Notes on Continuous Stochastic Phenomena’, Biometrika, 37 (1/2), pp. 17–23. https://doi.org/10.2307/2332142en
dc.referencesPALOMINO, J. and RODRIGUEZ, G. (2019), Peru’s regional growth and convergence in 1979– 2017: An empirical spatial panel data analysis, PUCP working paper no. 478. Lima, Peru. https://doi.org/10.18800/2079-8474.0478en
dc.referencesPEROVIC, L. M., GOLEM, S. and KOSOR, M. M. (2016), ‘Convergence in government spending components in EU15: A spatial econometric perspective’, Amfiteatru Economic, 18 (42), pp. 240−254. http://hdl.handle.net/10419/168999en
dc.referencesPESARAN, M. H., LEE, K. and SMITH, R. (1997), ‘Growth and convergence in a multi-country empirical stochastic Solow model’, Journal of Applied Econometrics, 12 (4), pp. 357−392. https://www.jstor.org/stable/2284959en
dc.referencesREY, S. J. and MONTOURI, B. D. (1999), ‘US Regional income convergence: A spatial econometric perspective’, Regional Studies, 33 (2), pp. 143−156. https://doi.org/10.1080/00343409950122945en
dc.referencesRIOS, V., PASCUAL, P. and CABASES, F. (2017), ‘What drives local government spending in Spain? A dynamic spatial panel approach’, Spatial Economic Analysis, 12 (2−3), pp. 230–250. https://doi.org/10.1080/17421772.2017.1282166en
dc.referencesRIVERO, F. J. D. (2006), Are the tax mix and the fiscal pressure converging in the European Union?, working paper no. 11/06, Spain: Instituto de Estudios Fiscales, https://ideas.repec.org/p/hpe/wpaper/y2006i11.html [accessed on: 12.12.2023].en
dc.referencesRODRIGUEZ, J. L. (2008), ‘Regional convergence in the European Union: Results from a panel data model’, Economics Bulletin, 18 (2), pp. 1−7. https://ideas.repec.org/a/ebl/ecbull/eb-08r00001.html [accessed on: 5.12.2023].en
dc.referencesROYUELA, V. and GARCIA, G. A. (2015), ‘Economic and social convergence in Colombia’, Regional Studies, 49 (2), pp. 219−239. https://doi.org/10.1080/00343404.2012.762086en
dc.referencesSAĞBAŞ, I. (2002), ‘Türkiye’de Kamu Harcamalarının Yakınsama Üzerindeki Etkisi’, Afyon Kocatepe Üniversitesi İ.İ.B.F. Dergisi, 4 (2), pp. 137–148. https://dergipark.org.tr/tr/pub/akuiibfd/issue/1637/20531 [accessed on: 7.12.2023].en
dc.referencesSALA-I-MARTIN, X. (1996), ‘The classical approach to convergence analysis’, The Economic Journal, 106 (437), pp. 1019−1036. https://doi.org/10.2307/2235375en
dc.referencesSANZ, I. and VELAZQUEZ, F. J. (2001), The evolution and convergence of the government expenditure composition in the OECD Countries: An analysis of the functional distribution, European Economy Group working paper no. 9/2001, Madrid, Spain, https://www.jstor.org/stable/30025813 [accessed on: 12.12.2023].en
dc.referencesSARUÇ, N. T., SAĞBAŞ, I. and CIĞERCI, I. (2007), ‘The geographical distribution of public expenditures and tax revenues in the Turkish case: A convergence analysis’ (conference paper), The Third International Conference on Business, Management and Economics 13 to 17 June 2007, Çeşmeİzmir, Türkiye: Yasar University, Turkey.en
dc.referencesSCULLY, G. W. (1991), ‘The Convergence of fiscal regimes and the decline of Tiebout effect’, Public Choice, 72, pp. 51−59. https://doi.org/10.1007/BF00135546en
dc.referencesSKIDMORE, M., TOYA, H. and MERRIMAN, D. (2004), ‘Convergence in government spending: Theory and cross‐country evidence’, Kyklos, 57 (4), pp. 587−620. https://doi.org/10.1111/j.0023-5962.2004.00270.xen
dc.referencesSTAKHOVYCH, S. and BIJMOLT, T. H. (2009), ‘Specification of spatial models: A simulation study on weights matrices’, Papers in Regional Science, 88 (2), pp. 389−409. https://doi.org/10.1111/j.1435-5957.2008.00213.xen
dc.referencesTANSEL, A. and GÜNGÖR, N. D. (1998), Economic growth and convergence: An application to the provinces of Turkey, 1975–1995, ERC working paper no. 98/9. https://www.researchgate.net/publication/46453461en
dc.referencesTONDL, G. (1998), The Changing Pattern of Regional Convergence in Europe, Robert Schuman Centre no. 97/53, Vienna, Austria. https://doi.org/10.2139/ssrn.130688en
dc.referencesYAMANOĞLU, K. B. (2022), Spatial analysis of fiscal convergence between cities and regions in Turkey (Doctoral dissertation), Hacettepe University, https://tez.yok.gov.tr/UlusalTezMerkezi [accessed on: 15.12.2023].en
dc.referencesYILDIRIM, J. (2005), ‘Regional policy and economic convergence in Turkey: A spatial data analysis’, 18th European Advanced Studies Institute in Regional Science, 1 (10). https://www.academia.edu/3993186 [accessed on: 11.12.2023].en
dc.referencesYILDIRIM, J. and ÖCAL, N. (2006), ‘Income inequality and economic convergence in Turkey’, Transition Studies Review, 13, pp. 559–568. https://doi.org/10.1007/s11300-006-0124-xen
dc.referencesYILDIRIM, J., ÖCAL, N. and ÖZYILDIRIM, S. (2009), ‘Income inequality and economic convergence in Turkey: A spatial effect analysis’, International Regional Science Review, 32 (2), pp. 221−254. https://doi.org/10.1177/0160017608331250en
dc.contributor.authorEmailGençosmanoğlu, Ömer Tarık - ottomanus@yahoo.com
dc.contributor.authorEmailYamanoğlu, Kemal Buğra - kemalbugrayamanoglu@gmail.com
dc.identifier.doi10.18778/1231-1952.31.2.01
dc.relation.volume31


Pliki tej pozycji

Thumbnail

Pozycja umieszczona jest w następujących kolekcjach

Pokaż uproszczony rekord

https://creativecommons.org/licenses/by-nc-nd/4.0
Poza zaznaczonymi wyjątkami, licencja tej pozycji opisana jest jako https://creativecommons.org/licenses/by-nc-nd/4.0