IDEAS home Printed from https://ideas.repec.org/a/eut/journl/v22y2018i1p187.html
   My bibliography  Save this article

Effective Factors on the Growth of Provinces of Iran: A Spatial Panel Approach

Author

Listed:
  • Sayed Mansoor Khalili Araghi; ;

    (Faculty of Economics, University of Tehran, Tehran, Iran.)

  • Elham Nobahar

    (Faculty of Economics, University of Tabriz, Tabriz, Iran.)

  • Mahboobeh Kabiri Renani

    (Faculty of Economics, University of Tehran, Tehran, Iran.)

Abstract

In order to have a successful regional planning policy, one needs to know exactly the effective factors on the growth of the provinces. Thus, determining and evaluating these growth rates are important for urban and regional planners. The main goal of this study is to determine the effective factors on the growth (population growth and per capita income growth) of Iran’s provinces. In this regard, three groups of factors, economic, social and locational, were considered. The population growth and per capita income growth models were considered via spatial panel for the period of 2007-2015. We have also studied the spatial dependence as well as spatial spillovers between the provinces on regional growth. The results show that there have been meaningful growth spillovers between the provinces of Iran. Therefore, any change in one province, besides having its effect on that province also has spillover effects on neighboring provinces. Also the results show that real per capita income, transportation infrastructure, the index of service specialization, the index of production specialization and the index of competitiveness are the most important factors on the growth of the provinces of Iran.

Suggested Citation

  • Sayed Mansoor Khalili Araghi; ; & Elham Nobahar & Mahboobeh Kabiri Renani, 2018. "Effective Factors on the Growth of Provinces of Iran: A Spatial Panel Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(1), pages 187-213, Winter.
    • Handle: RePEc:eut:journl:v:22:y:2018:i:1:p:187
    as

    Download full text from publisher

    File URL: ftp://80.66.179.253/eut/journl/20181-8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. da Mata, D. & Deichmann, U. & Henderson, J.V. & Lall, S.V. & Wang, H.G., 2007. "Determinants of city growth in Brazil," Journal of Urban Economics, Elsevier, vol. 62(2), pages 252-272, September.
    2. Ertugrul Deliktas & A. Özlem Önder & Metin Karadag, 2013. "The Size Distribution of Cities and Determinants of City Growth in Turkey," European Planning Studies, Taylor & Francis Journals, vol. 21(2), pages 251-263, February.
    3. Melvyn Weeks & James Yudong Yao, 2003. "Provincial Conditional Income Convergence in China, 1953-1997: A Panel Data Approach," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 59-77, February.
    4. Philippe Aghion & Steven Durlauf (ed.), 2014. "Handbook of Economic Growth," Handbook of Economic Growth, Elsevier, edition 1, volume 2, number 2.
    5. Xu, Lixin Colin & Zou, Heng-fu, 2000. "Explaining the changes of income distribution in China," China Economic Review, Elsevier, vol. 11(2), pages 149-170, December.
    6. Gallup, John L. & Sachs, Jeffrey D. & Mellinger, Andrew, "undated". "Geography and Economic Development," Instructional Stata datasets for econometrics geodata, Boston College Department of Economics.
    7. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    8. Gordon Anderson & Ying Ge, 2004. "Do Economic Reforms Accelerate Urban Growth? The Case of China," Urban Studies, Urban Studies Journal Limited, vol. 41(11), pages 2197-2210, October.
    9. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
    10. Valentina Meliciani & Maria Savona, 2015. "The determinants of regional specialisation in business services: agglomeration economies, vertical linkages and innovation," Journal of Economic Geography, Oxford University Press, vol. 15(2), pages 387-416.
    11. McCann, Philip, 2013. "Modern Urban and Regional Economics," OUP Catalogue, Oxford University Press, edition 2, number 9780199582006.
    12. Henderson, J. Vernon & Wang, Hyoung Gun, 2007. "Urbanization and city growth: The role of institutions," Regional Science and Urban Economics, Elsevier, vol. 37(3), pages 283-313, May.
    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. Celine Bonnefond, 2014. "Growth Dynamics And Conditional Convergence Among Chinese Provinces: A Panel Data Investigation Using System Gmm Estimator," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(4), pages 1-25, December.
    2. Paul Elhorst & Diego Firmino Costa da Silva & Raul da Mota Silveira Neto, 2015. "A Spatial Economic Model and Spatial Econometric Analysis of Population Dynamics in Brazilian MCAs," ERSA conference papers ersa15p83, European Regional Science Association.
    3. Luisa Corrado & Melvyn Weeks & Thanasis Stengos & M. Ege Yazgan, 2018. "Robust Tests for Convergence Clubs," Papers 1812.09518, arXiv.org.
    4. Arturas Juodis, 2013. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 13-08, Universiteit van Amsterdam, Dept. of Econometrics.
    5. repec:rri:wpaper:201303 is not listed on IDEAS
    6. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, August.
    7. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    8. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    9. Karaman Örsal, Deniz Dilan & Droge, Bernd, 2014. "Panel cointegration testing in the presence of a time trend," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 377-390.
    10. Vasudeva N. R. Murthy & Emmanuel Anoruo, 2009. "Are Per Capita Real GDP Series in African Countries Non-stationary or Non-linear? What does Empirical Evidence Reveal?," Economics Bulletin, AccessEcon, vol. 29(4), pages 2492-2504.
    11. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    12. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    13. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.
    14. Patrizia Ordine & Giuseppe Rose, 2008. "Local Banks Efficiency and Employment," LABOUR, CEIS, vol. 22(3), pages 469-493, September.
    15. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    16. Brian Piper, 2014. "Factor-Specific Productivity," Working Papers 1401, Sam Houston State University, Department of Economics and International Business.
    17. Matyas, Laszlo & Balazsi, Laszlo, 2011. "The estimation of three-dimensional fixed effects panel data models," MPRA Paper 34976, University Library of Munich, Germany.
    18. Lawrence A. Plummer & Zoltán J. Ács, 2015. "Localized competition in the knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 8, pages 145-160, Edward Elgar Publishing.
    19. Jaap H. Abbring, 0000. "Mixed Hitting-Time Models," Tinbergen Institute Discussion Papers 07-057/3, Tinbergen Institute, revised 11 Aug 2009.
    20. Heather Gibson & Stephen Hall & George Tavlas, 2015. "Are all sovereigns equal? A test of the common determination of sovereign spreads in the euro area," Empirical Economics, Springer, vol. 48(3), pages 939-949, May.
    21. Evren Ceritoglu, 2017. "The effect of house price changes on cohort consumption in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(3), pages 1-99–110.

    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:eut:journl:v:22:y:2018:i:1:p:187. 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: [z.rahimalipour] (email available below). General contact details of provider: https://edirc.repec.org/data/fecutir.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.