IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v4y2009i4p377-390.html
   My bibliography  Save this article

Centres and Peripheries in Finland: Granger Causality Tests Using Panel Data

Author

Listed:
  • Hannu Tervo

Abstract

Abstract Despite their importance from a policy point of view, empirical studies on the effects of growth centres in their regions are rare. This paper analyses mutual relationships between growth processes in centres and their surrounding hinterlands in 19 Finnish regions. Annual population data from the period 1970–2004 are used. A novel testing procedure based on an extension of the Granger causality definition in a panel data context is applied. Heterogeneity between regions is allowed. Both the homogeneous non-causality hypothesis and the homogeneous causality hypothesis are rejected. Causal processes prove to be heterogeneous. Causality from centres to peripheries is found for nine regions and causality from peripheries to centres for twelve regions. Rapidly growing and large centres, in particular, have negative effects on their hinterlands. Centres et banlieues en Finlande: tests de causalité de Granger faisant usage de données de panel RÉSUMÉ En dépit de leur importance sur le plan de la politique, les études empiriques sur les effets des centres d'expansion dans leurs régions sont rares. La présente communication analyse, dans dix-neuf régions de la Finlande, les rapports réciproques entre procédés d'expansion dans les centres et leur arrière-pays environnant. Pour ceci, on utilise des données sur la population annuelle remontant à la période 1970–2004. On applique une nouvelle technique de test basée sur une extension de la définition de Granger dans le contexte de données de panel. L'hétérogénéité entre les régions est admise. Tant l'hypothèse de la non causalité homogène que celle de la causalité homogène sont rejetées. Les techniques causales s'avèrent être hétérogènes. On relève une causalité des centres aux banlieues dans neuf régions, et des banlieues aux centres ville dans douze régions. Notamment, les centres ville de grande taille et en pleine expansion ont un effet négatif sur leur arrière-pays. Centros y periferias en Finlandia: Ensayos de causalidad de Granger utilizando datos de panel RÉSUMÉN A pesar de su importancia desde un punto de vista de políticas, los estudios empíricos sobre los efectos de los centros de crecimiento en sus regiones son escasos. Este trabajo analiza las relaciones mutuas entre los procesos de crecimiento en los centros y sus interiores vecinos, en diecinueve regiones finlandesas. Se utilizan datos anuales de población entre el período de 1970–2004. Se aplica un nuevo procedimiento de ensayo basado en una extensión de la definición de causalidad de Granger dentro de un contexto de datos de panel. Se tiene en cuenta la heterogeneidad entre regiones. Se rechazan tanto la hipótesis de no causalidad homogénea como la hipótesis de causalidad homogénea. Los procesos causales demuestran ser heterogéneos. Causalidad de centros a periferias se encuentra en nueve regiones, y causalidad de periferias a centros en doce regiones. Los centros grandes y de rápido crecimiento, en particular, tienen efectos negativos sobre sus interiores.

Suggested Citation

  • Hannu Tervo, 2009. "Centres and Peripheries in Finland: Granger Causality Tests Using Panel Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(4), pages 377-390.
  • Handle: RePEc:taf:specan:v:4:y:2009:i:4:p:377-390
    DOI: 10.1080/17421770903317652
    as

    Download full text from publisher

    File URL: http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770903317652
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17421770903317652?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    2. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    3. Mark D. Partridge & Dan S. Rickman & Kamar Ali & M. Rose Olfert, 2008. "Lost in space: population growth in the American hinterlands and small cities," Journal of Economic Geography, Oxford University Press, vol. 8(6), pages 727-757, November.
    4. A. P. Thirlwall, 2015. "A Model of Regional Growth Rate Differences on Kaldorian Lines," Palgrave Studies in the History of Economic Thought, in: Essays on Keynesian and Kaldorian Economics, chapter 12, pages 286-301, Palgrave Macmillan.
    5. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    6. Mark Partridge & Ray D. Bollman & M. Rose Olfert & Alessandro Alasia, 2007. "Riding the Wave of Urban Growth in the Countryside: Spread, Backwash, or Stagnation?," Land Economics, University of Wisconsin Press, vol. 83(2), pages 128-152.
    7. Bertrand B. Schmitt & M.S. Henry, 2000. "Size and growth of urban centers in French labor market areas : consequences for rural population and employment [[Taille et croissance des centres urbains dans les bassins d'emplois en France : co," Post-Print hal-02687942, HAL.
    8. Erkan Erdil & I. Hakan Yetkiner, 2009. "The Granger-causality between health care expenditure and output: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 511-518.
    9. Hannu Tervo, 2005. "Regional Policy Lessons from Finland," Advances in Spatial Science, in: Daniel Felsenstein & Boris A. Portnov (ed.), Regional Disparities in Small Countries, chapter 15, pages 267-282, Springer.
    10. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    11. Krugman, Paul, 1998. "What's New about the New Economic Geography?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 14(2), pages 7-17, Summer.
    12. Mark S. Henry & Bertrand Schmitt & Virginie Piguet, 2001. "Spatial Econometric Models for Simultaneous Systems: Application to Rural Community Growth in France," International Regional Science Review, , vol. 24(2), pages 171-193, April.
    13. Kaldor, Nicholas, 1970. "The Case for Regional Policies," Scottish Journal of Political Economy, Scottish Economic Society, vol. 17(3), pages 337-348, November.
    14. Schmitt, Bertrand & Henry, Mark S., 2000. "Size and growth of urban centers in French labor market areas: consequences for rural population and employment," Regional Science and Urban Economics, Elsevier, vol. 30(1), pages 1-21, January.
    15. Hood, M. V. & Kidd, Quentin & Morris, Irwin L., 2008. "Two Sides of the Same Coin? Employing Granger Causality Tests in a Time Series Cross-Section Framework," Political Analysis, Cambridge University Press, vol. 16(3), pages 324-344, July.
    16. François Perroux, 1950. "Economic Space: Theory and Applications," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 64(1), pages 89-104.
    17. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    18. Fujita, Masahisa, 2007. "Towards the new economic geography in the brain power society," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 482-490, July.
    19. repec:dau:papers:123456789/6159 is not listed on IDEAS
    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. Olli Lehtonen & Markku Tykkyläinen, 2018. "Path dependence in net migration during the ICT boom and two other growth periods: the case of Finland, 1980-2013," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 547-564, August.
    2. Lehtonen Olli & Tykkyläinen Markku, 2014. "Potential Job Creation and Resource Dependance in Rural Finland," European Countryside, Sciendo, vol. 6(3), pages 202-224, September.
    3. Kirsi Mukkala & Hannu Tervo, 2012. "Regional airports and regional growth: which way does the causality run?," ERSA conference papers ersa12p642, European Regional Science Association.
    4. Tervo, Hannu, 2016. "Do People Follow Jobs or Do Jobs Follow People? The Case of Finland in an International Context," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    5. Arvin, Mak B. & Pradhan, Rudra P. & Norman, Neville R., 2015. "Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries," Utilities Policy, Elsevier, vol. 35(C), pages 50-66.
    6. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    7. Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    8. Aliaga, Javier & Herrera, Marcos & Leguía, Daniel & Mur, Jesús & Ruiz, Manuel & Villegas, Horacio, 2011. "Spatial Causality. An application to the Deforestation Process in Bolivia," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 183-198.
    9. Lehtonen Olli & Tykkyläinen Markku & Voutilainen Olli, 2012. "Root causes of rural decline in economic well-being in Finland," European Countryside, Sciendo, vol. 4(3), pages 217-239, January.
    10. Halonen Maija & Kotilainen Juha & Tykkyläinen Markku & Vatanen Eero, 2015. "Industry life cycles of a resource town in Finland – the case of Lieksa," European Countryside, Sciendo, vol. 7(1), pages 16-41, March.
    11. Özer, Mustafa & Canbay, Şerif & Kırca, Mustafa, 2021. "The impact of container transport on economic growth in Turkey: An ARDL bounds testing approach," Research in Transportation Economics, Elsevier, vol. 88(C).
    12. Tervo, Hannu, 2010. "Cities, hinterlands and agglomeration shadows: Spatial developments in Finland during 1880-2004," Explorations in Economic History, Elsevier, vol. 47(4), pages 476-486, October.
    13. Hannu Tervo, 2011. "Cities, hinterlands and agglomeration shadows: spatial developments in Finland over 1880-2004," ERSA conference papers ersa10p147, European Regional Science Association.
    14. Mohamad Ahmad Abou Hamia, 2024. "The integration of developing countries into world technology markets: cause or effect of total factor productivity?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 879-902, February.
    15. Mill�n D�az-Foncea & Carmen Marcuello, 2014. "The Relation between Total Employment and Cooperative Employment: A Convergence and Causality Analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(1), pages 71-92, March.

    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. Kirsi Mukkala & Hannu Tervo, 2012. "Regional airports and regional growth: which way does the causality run?," ERSA conference papers ersa12p642, European Regional Science Association.
    2. Töngür, Ünal & Elveren, Adem Yavuz, 2014. "Deunionization and pay inequality in OECD Countries: A panel Granger causality approach," Economic Modelling, Elsevier, vol. 38(C), pages 417-425.
    3. Tsvetkova, Alexandra & Partridge, Mark & Betz, Micael, 2016. "Entrepreneurial and Wage and Salary Employment Response to Economic Conditions Across the Rural-Urban Continuum," MPRA Paper 75781, University Library of Munich, Germany.
    4. Lukasz Marc, 2014. "The Causal Links between Aid and Government Expenditures," Tinbergen Institute Discussion Papers 14-012/V, Tinbergen Institute.
    5. Alexandra Tsvetkova & Mark Partridge & Michael Betz, 2017. "Entrepreneurial and Employment Responses to Economic Conditions across the Rural-Urban Continuum," The ANNALS of the American Academy of Political and Social Science, , vol. 672(1), pages 83-102, July.
    6. Pedro Antonio Martín Cervantes & Nuria Rueda López & Salvador Cruz Rambaud, 2019. "A Causal Analysis of Life Expectancy at Birth. Evidence from Spain," IJERPH, MDPI, vol. 16(13), pages 1-14, July.
    7. Hannu Tervo, 2011. "Cities, hinterlands and agglomeration shadows: spatial developments in Finland over 1880-2004," ERSA conference papers ersa10p147, European Regional Science Association.
    8. Tervo, Hannu, 2010. "Cities, hinterlands and agglomeration shadows: Spatial developments in Finland during 1880-2004," Explorations in Economic History, Elsevier, vol. 47(4), pages 476-486, October.
    9. Campo, Jacobo & Mendoza, Henry, 2018. "Gasto público y crecimiento económico: un análisis regional para Colombia, 1984-2012," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 88, pages 77-108, January.
    10. Eric S. Lin & Hamid E. Ali, 2009. "Military Spending and Inequality: Panel Granger Causality Test," Journal of Peace Research, Peace Research Institute Oslo, vol. 46(5), pages 671-685, September.
    11. Erkan Erdil & I. Hakan Yetkiner, 2009. "The Granger-causality between health care expenditure and output: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 511-518.
    12. Lehtonen Olli & Tykkyläinen Markku, 2014. "Potential Job Creation and Resource Dependance in Rural Finland," European Countryside, Sciendo, vol. 6(3), pages 202-224, September.
    13. Artūras Juodis & Yiannis Karavias & Vasilis Sarafidis, 2021. "A homogeneous approach to testing for Granger non-causality in heterogeneous panels," Empirical Economics, Springer, vol. 60(1), pages 93-112, January.
    14. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    15. Juan Federico & Joan-Lluis Capelleras, 2015. "The heterogeneous dynamics between growth and profits: the case of young firms," Small Business Economics, Springer, vol. 44(2), pages 231-253, February.
    16. Anna Laura Baraldi & Claudia Cantabene & Giulio Perani, 2014. "Reverse causality in the R&D-patents relationship: an interpretation of the innovation persistence," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(3), pages 304-326, April.
    17. Joanna P. Ganning & Kathy Baylis & Bumsoo Lee, 2013. "Spread And Backwash Effects For Nonmetropolitan Communities In The U.S," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 464-480, August.
    18. Jochen Hartwig, 2008. "Has Health Capital Formation Cured 'Baumol's Disease'? - Panel Granger Causality Evidence for OECD Countries," KOF Working papers 08-206, KOF Swiss Economic Institute, ETH Zurich.
    19. Jacobo Campo & Henry Mendoza, 2018. "Public expenditure and economic growth: a regional analysis for Colombia, 1984-2012," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 88, pages 77-108, Enero - J.
    20. Weichun Chen & Judith A. Clarke & Nilanjana Roy, 2014. "Health and wealth: Short panel Granger causality tests for developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(6), pages 755-784, September.

    More about this item

    Keywords

    Regional growth; core–periphery; growth centre; Granger causality; panel data; C23; C12; O18; R11;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    Statistics

    Access and download statistics

    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:taf:specan:v:4:y:2009:i:4:p:377-390. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    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.