IDEAS home Printed from https://ideas.repec.org/p/cpd/pd2002/d5-2.html
   My bibliography  Save this paper

Dynamic externalities, local industrial structure and economic development: panel data evidence for Morocco

Author

Listed:
  • Maurice J.G. Bun

    (University of Amsterdam)

  • Abdel El Makhloufi

    (University of Amsterdam)

Abstract

Bun M. J. G. and El Makhloufi A. (2007) Dynamic externalities, local industrial structure and economic development: panel data evidence for Morocco, Regional Studies 41, 823-837. The impact of industrial structure on local economic development is analysed for the case of Morocco. Using annual data for six urban areas and 18 industrial sectors indicators for specialization, diversity and competition of firms within a particular region are constructed for the years 1985-1995. The effects of these and other explanatory variables on local economic activity are estimated using a dynamic panel data model with both individual and time-specific effects. The estimation results suggest significant positive specialization and diversity effects and significant negative competition effects asserting the importance of industrial structure for local economic development. The empirical evidence is robust to the measure of economic activity used in the analysis, i.e. either employment or value added. A similar analysis is conducted restricting the space to the region of Casablanca. Using data on seven districts and 18 sectors for the period 1992-1995 again significant externalities are found within this specific region. Bun M. J. G. et El Makhloufi A. (2007) Les effets externes dynamiques, la structure industrielle locale et le developpement economique: des donnees permanentes pour le Maroc, Regional Studies 41, 823-837. Cet article cherche a analyser l'impact de la structure industrielle sur le developement economique local au Maroc. A partir des donnees annuelles aupres de 6 zones urbaines et 18 secteurs industriels, on construit des indicateurs de specialisation, de diversite et de competition pour les entreprises situees au sein d'une region donnee entre 1985 et 1995. Employant un modele dynamique fonde sur des donnees permanentes et dote des effets individuels et decales dans le temps, on estime l'impact de ces variables-la et des autres variables explicatives sur l'activite e
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Maurice J.G. Bun & Abdel El Makhloufi, 2002. "Dynamic externalities, local industrial structure and economic development: panel data evidence for Morocco," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D5-2, International Conferences on Panel Data.
    • Handle: RePEc:cpd:pd2002:d5-2
    as

    Download full text from publisher

    File URL: http://econpapers.repec.org/cpd/2002/36_Bun.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Henderson, Vernon & Kuncoro, Ari & Turner, Matt, 1995. "Industrial Development in Cities," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1067-1090, October.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Glaeser, Edward L & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1992. "Growth in Cities," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1126-1152, December.
      • Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991. "Growth in Cities," NBER Working Papers 3787, National Bureau of Economic Research, Inc.
      • Glaeser, Edward Ludwig & Kallal, Hedi D. & Scheinkman, Jose A. & Shleifer, Andrei, 1992. "Growth in Cities," Scholarly Articles 3451309, Harvard University Department of Economics.
    6. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    7. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
    8. de Lucio, Juan J. & Herce, Jose A. & Goicolea, Ana, 2002. "The effects of externalities on productivity growth in Spanish industry," Regional Science and Urban Economics, Elsevier, vol. 32(2), pages 241-258, March.
    9. Mr. Ramana Ramaswamy & Mr. Bob Rowthorn, 1997. "Deindustrialization: Causes and Implications," IMF Working Papers 1997/042, International Monetary Fund.
    10. Henderson, Vernon, 1997. "Externalities and Industrial Development," Journal of Urban Economics, Elsevier, vol. 42(3), pages 449-470, November.
    11. Juan J. de Lucio & José A. Herce & Ana Goicolea, "undated". "The effects of externalities on value added and productivity growth in Spanish industry," Working Papers 98-05, FEDEA.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    13. Juan J. de Lucio & José A. Herce & Ana Goicolea, "undated". "Externalities and industrial growth: Spain 1978-1992," Working Papers 96-14, FEDEA.
    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. Francesca Mameli & Simona Iammarino & Ron Boschma, 2012. "Regional variety and employment growth in Italian labour market areas: services versus manufacturing industries," Papers in Evolutionary Economic Geography (PEEG) 1203, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2012.
    2. Khaled Thabet, 2015. "Industrial structure and total factor productivity: the Tunisian manufacturing sector between 1998 and 2004," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 639-662, March.
    3. Wang, Jian & Sun, Furong & Lv, Kangjuan & Wang, Lisha, 2022. "Industrial agglomeration and firm energy intensity: How important is spatial proximity?," Energy Economics, Elsevier, vol. 112(C).
    4. Zhao, Jun & Wang, Bo & Dong, Kangyin & Shahbaz, Muhammad & Ni, Guohua, 2023. "How do energy price shocks affect global economic stability? Reflection on geopolitical conflicts," Energy Economics, Elsevier, vol. 126(C).
    5. Mohamed Amara & Mohamed Ayadi, 2011. "Local Employment Growth in the Coastal Area of Tunisia: A Dynamic Spatial Panel Approach," Working Papers 650, Economic Research Forum, revised 12 Jan 2011.
    6. ZHAO Ting & ZHAO Wei, 2012. "Dynamic Externalities and Manufacturing Productivity: An empirical comparison among China's top three municipalities," Discussion papers 12072, Research Institute of Economy, Trade and Industry (RIETI).
    7. Michał Pluciński & Izabela Kotowska & Marta Mańkowska & Ludmiła Filina-Dawidowicz, 2023. "Research on Diversification Strategies of Terminal Operators—Evidence from Polish Seaports," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    8. Zheng, Xiao-Ping, 2010. "A cointegration analysis of dynamic externalities," Japan and the World Economy, Elsevier, vol. 22(2), pages 130-140, March.
    9. Georgios Fotopoulos & Dimitris Kallioras & George Petrakos, 2010. "Spatial variations of Greek manufacturing employment growth: The effects of specialization and international trade," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 109-133, March.
    10. DRIDI, Manel, 2015. "Dynamic Externalities and Regional Development: The case of Tunisia," MPRA Paper 66988, University Library of Munich, Germany.
    11. Shimei Weng & Jianbao Chen, 2023. "How Does Industrial Upgrading Affect Carbon Productivity in China’s Service Industry?," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    12. Rosa Bernardini Papalia & Silvia Bertarelli, 2009. "Decomposing productivity patterns in a conditional convergence framework," Journal of Productivity Analysis, Springer, vol. 31(1), pages 57-75, February.
    13. Qing Liu & Jian Wang, 2022. "Spatial agglomeration and firm productivity: Does trade status matter?," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 5-18, November.

    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. Beaudry, Catherine & Schiffauerova, Andrea, 2009. "Who's right, Marshall or Jacobs? The localization versus urbanization debate," Research Policy, Elsevier, vol. 38(2), pages 318-337, March.
    2. Dauth, Wolfgang, 2010. "The mysteries of the trade: employment effects of urban interindustry spillovers," IAB-Discussion Paper 201015, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Hanlon, W. Walker & Miscio, Antonio, 2017. "Agglomeration: A long-run panel data approach," Journal of Urban Economics, Elsevier, vol. 99(C), pages 1-14.
    4. Rita Almeida & Ana M. Fernandes, 2013. "Explaining local manufacturing growth in Chile: the advantages of sectoral diversity," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2201-2213, June.
    5. Rita Almeida, 2007. "Local Economic Structure and Growth," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(1), pages 65-90.
    6. ZHAO Ting & ZHAO Wei, 2012. "Dynamic Externalities and Manufacturing Productivity: An empirical comparison among China's top three municipalities," Discussion papers 12072, Research Institute of Economy, Trade and Industry (RIETI).
    7. Massimiliano Agovino & Agnese Rapposelli, 2015. "Agglomeration externalities and technical efficiency in Italian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 1803-1822, September.
    8. Walker Hanlon & Antonio Miscio, 2014. "Agglomeration: A Dynamic Approach," NBER Working Papers 20728, National Bureau of Economic Research, Inc.
    9. Michaela Fuchs, 2011. "The determinants of local employment dynamics in Western Germany," Empirical Economics, Springer, vol. 40(1), pages 177-203, February.
    10. Roberto Ganau, 2016. "Productivity, Credit Constraints and the Role of Short-Run Localization Economies: Micro-Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1834-1848, November.
    11. Li, Dongya & Lu, Yi & Wu, Mingqin, 2012. "Industrial agglomeration and firm size: Evidence from China," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 135-143.
    12. Canfei He & Fenghua Pan, 2010. "Economic Transition, Dynamic Externalities and City-industry Growth in China," Urban Studies, Urban Studies Journal Limited, vol. 47(1), pages 121-144, January.
    13. Fritsch, Michael & Changoluisa, Javier, 2017. "New business formation and the productivity of manufacturing incumbents: Effects and mechanisms," Journal of Business Venturing, Elsevier, vol. 32(3), pages 237-259.
    14. Lu, Yi & Ni, Juan & Tao, Zhigang & Yu, Linhui, 2013. "City–industry growth in China," China Economic Review, Elsevier, vol. 27(C), pages 135-147.
    15. Carlos Carreira & Luís Lopes, 2016. "Collecting new pieces to the regional knowledge spillovers puzzle: high-tech versus low-tech industries," GEMF Working Papers 2016-06, GEMF, Faculty of Economics, University of Coimbra.
    16. Jetpan Wetwitoo & Hironori Kato, 2017. "Inter-regional transportation and economic productivity: a case study of regional agglomeration economies in Japan," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 321-344, September.
    17. Carlos Carreira & Luís Lopes, 2016. "Collecting new pieces to the regional knowledge spillovers puzzle: high-tech versus low-tech industries," GEMF Working Papers 2016-06, GEMF, Faculty of Economics, University of Coimbra.
    18. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    19. Ge, Ying, 2009. "Globalization and Industry Agglomeration in China," World Development, Elsevier, vol. 37(3), pages 550-559, March.
    20. Stéphane Riou, 2003. "Géographie, croissance et politique de cohésion en Europe," Revue Française d'Économie, Programme National Persée, vol. 17(3), pages 171-220.

    More about this item

    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:cpd:pd2002:d5-2. 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: Sune Karlsson (email available below). General contact details of provider: .

    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.