IDEAS home Printed from https://ideas.repec.org/p/urv/wpaper/2072-307363.html
   My bibliography  Save this paper

Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence

Author

Listed:
  • Miranda, Karen
  • Manjón Antolín, Miguel C.
  • Martínez Ibáñez, Oscar

Abstract

We present a growth model with interdependencies in the heterogeneous technological progress, physical capital and stock of knowledge that yields a growth-initial equation that can be taken to the data. We then use data on EU-NUTS2 regions and a correlated random effects specification to estimate the resulting spatial Durbin dynamic panel model with spatially weighted individual e ects. QML estimates support our model against simpler alternatives that impose a homogeneous technology and limit the sources of spatial externalities. Also, our results indicate that rich regions tend to have higher "unobserved productivity" and are likely to stay rich because of the strong time and spatial dependence of the GDP per capita. Poor regions, on the other hand, tend to enjoy "unobserved productivity" spillovers but are like to stay poor unless they increase their saving rates. Keywords: correlated random effects, Durbin model, economic growth, spatial panel data. JEL Classification: C23, O47

Suggested Citation

  • Miranda, Karen & Manjón Antolín, Miguel C. & Martínez Ibáñez, Oscar, 2018. "Growth, heterogeneous technological interdependence,and spatial externalities: Theory and Evidence," Working Papers 2072/307363, Universitat Rovira i Virgili, Department of Economics.
    • Handle: RePEc:urv:wpaper:2072/307363
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/2072/307363
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Enrique López‐Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 43-73, February.
    2. Roberto Basile, 2008. "Regional economic growth in Europe: A semiparametric spatial dependence approach," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 527-544, November.
    3. James P. LeSage & Manfred M. Fischer, 2012. "Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity," International Regional Science Review, , vol. 35(1), pages 103-127, January.
    4. Pfaffermayr, Michael, 2009. "Conditional [beta]- and [sigma]-convergence in space: A maximum likelihood approach," Regional Science and Urban Economics, Elsevier, vol. 39(1), pages 63-78, January.
    5. J. Bradford De Long & Lawrence H. Summers, 1991. "Equipment Investment and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 445-502.
    6. Robert J. Barro & Xavier Sala-i-Martin, 2003. "Economic Growth, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262025531, December.
    7. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    8. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    9. Bernard Fingleton & Enrique López‐Bazo, 2006. "Empirical growth models with spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 177-198, June.
    10. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    11. Michael Pfaffermayr, 2012. "Spatial Convergence Of Regions Revisited: A Spatial Maximum Likelihood Panel Approach," Journal of Regional Science, Wiley Blackwell, vol. 52(5), pages 857-873, December.
    12. Maria ABREU & Henri L.F. DE GROOT & Raymond J.G.M. FLORAX, 2005. "Space And Growth: A Survey Of Empirical Evidence And Methods," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 13-44.
    13. Jihai Yu & Lung-Fei Lee, 2012. "Convergence: A Spatial Dynamic Panel Data Approach," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-36.
    14. Lung‐fei Lee & Jihai Yu, 2016. "Identification of Spatial Durbin Panel Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 133-162, January.
    15. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    16. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2013. "Growth spillover through trade: A spatial dynamic panel data approach," Economics Letters, Elsevier, vol. 120(3), pages 450-453.
    17. Peter Egger & Michael Pfaffermayr, 2006. "Spatial convergence," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 199-215, June.
    18. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 1127-1170.
    Full references (including those not matched with items on IDEAS)

    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. Manjón Antolín, M. & Martinez Ibañez, Oscar, 2019. "Growth with heterogenous interdependence," DES - Working Papers. Statistics and Econometrics. WS 29023, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    3. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    4. repec:elg:eechap:14395_11 is not listed on IDEAS
    5. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    6. Cem Ertur & Julie Le Gallo, 2008. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Working Papers hal-00463274, HAL.
    7. Mustafa Koroglu & Yiguo Sun, 2016. "Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth," Econometrics, MDPI, vol. 4(1), pages 1-16, February.
    8. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.
    9. Michael Paffermayr, 2009. "Spatial Convergence of Regions Revisited: A Spatial Maximum Likelihood Systems Approach," Working Papers 2009-07, Faculty of Economics and Statistics, Universität Innsbruck.
    10. Julie Le Gallo & Sandy Dall'erba, 2008. "Spatial and sectoral productivity convergence between European regions, 1975–2000," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 505-525, November.
    11. Rosa Bernadini Papalia & Silvia Bertarelli, 2013. "Identification and Estimation of Club Convergence Models with Spatial Dependence," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 37(6), pages 2094-2115, November.
    12. Guilherme Resende & Alexandre Carvalho & Patrícia Sakowski & Túlio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    13. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2018. "Does EU cohesion policy work? Theory and evidence," Journal of Regional Science, Wiley Blackwell, vol. 58(2), pages 386-423, March.
    14. Philipp Breidenbach & Timo Mitze & Christoph Schmidt, 2011. "Evaluating EU Regional Policy: Many Empirical Specifications, One (Unpleasant) Result," ERSA conference papers ersa11p1144, European Regional Science Association.
    15. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    16. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    17. Joanna Gorna & Karolina Gorna & Elzbieta Szulc, 2013. "Analysis of ß-Convergence. From Traditional Cross-Section Model to Dynamic Panel Model," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 127-144.
    18. Ahmad, Mahyudin & Hall, Stephen G., 2017. "Economic growth and convergence: Do institutional proximity and spillovers matter?," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 1065-1085.
    19. Arbia, Giuseppe & Battisti, Michele & Di Vaio, Gianfranco, 2010. "Institutions and geography: Empirical test of spatial growth models for European regions," Economic Modelling, Elsevier, vol. 27(1), pages 12-21, January.
    20. Björn Alecke & Timo Mitze & Gerhard Untiedt, 2013. "Growth effects of regional policy in Germany: results from a spatially augmented multiplicative interaction model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(2), pages 535-554, April.
    21. Celbis M.G. & Crombrugghe D.P.I. de, 2014. "Can internet infrastructure help reduce regional disparities? : evidence from Turkey," MERIT Working Papers 2014-078, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    More about this item

    Keywords

    Anàlisi de dades de panel; Creixement econòmic; 33 - Economia;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:urv:wpaper:2072/307363. 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: Ariadna Casals (email available below). General contact details of provider: https://edirc.repec.org/data/deurves.html .

    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.