IDEAS home Printed from https://ideas.repec.org/p/mad/wpaper/2023-243.html
   My bibliography  Save this paper

Spatial Durbin Model of Regional Incomes in India: The Role of Public, Private and Human Capital

Author

Listed:
  • Vivek Jadhav

    ((Corresponding Author)Ph.D. Scholar, Madras School of Economics, Chennai)

  • Brinda Viswanathan

    (Professor & Dean Research, Madras School of Economics, Chennai)

Abstract

Most regional income studies in India examine only the convergence of regional per capita incomes with a limited number of studies analyzing the relative role of its determinants. Spatial Durbin model of regional income and growth based on the augmented Mankiw-Romer-Weil (MRW) -with public, private, household and human capitals as the determinants - is estimated using the 2015 Indicus data on per worker incomes for 103 regions (clusters of districts) of India. The results of the spatial model support spillover effect of public, human and private capital from neighbouring regions on per worker Gross Regional Domestic Product (GRDP) as found in several studies for European regions. We additionally find that public capital, which is not accounted for separately in the developed country regional models, is a relatively more important determinant for a developing country like India than private capital or human capital for this data. In the spatial growth model of per worker GRDP, none of the determinants except the state capital dummy variable have significant impact on the regional growth rate between 2001 and 2015. This may be a data limitation and perhaps a panel data model may be more suited for such an analysis.

Suggested Citation

  • Vivek Jadhav & Brinda Viswanathan, 2023. "Spatial Durbin Model of Regional Incomes in India: The Role of Public, Private and Human Capital," Working Papers 2023-243, Madras School of Economics,Chennai,India.
    • Handle: RePEc:mad:wpaper:2023-243
    as

    Download full text from publisher

    File URL: https://www.mse.ac.in/wp-content/uploads/2023/09/WORKING-PAPER-243.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    3. Chen, Xi & Funke, Michael, 2013. "The dynamics of catch-up and skill and technology upgrading in China," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 465-480.
    4. Laura De Dominicis, 2014. "Inequality and Growth in European Regions: Towards a Place-based Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(2), pages 120-141, June.
    5. Giuseppe Arbia & Laura De Dominicis & Gianfranco Piras, 2005. "The relationship between Regional Growth and Regional Inequality in EU and transition countries - a Spatial Econometric Approach," ERSA conference papers ersa05p168, European Regional Science Association.
    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. Agénor, Pierre-Richard & Neanidis, Kyriakos C., 2015. "Innovation, public capital, and growth," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 252-275.
    2. 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.
    3. Mendieta, Rodrigo & Ontaneda, Diego & Pontarollo, Nicola, 2019. "Canton growth in Ecuador and the role of spatial heterogeneity," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    4. Nawaz, Saima & Mangla, Inayat Ullah, 2021. "The economic geography of infrastructure in Asia: The role of institutions and regional integration," Research in Transportation Economics, Elsevier, vol. 88(C).
    5. Alastaire Sèna ALINSATO, 2015. "Globalization, Poverty And Role Of Infrastructures," Journal of Economics and Political Economy, KSP Journals, vol. 2(1s), pages 197-212, May.
    6. Rao, B. Bhaskara, 2010. "Estimates of the steady state growth rates for selected Asian countries with an extended Solow model," Economic Modelling, Elsevier, vol. 27(1), pages 46-53, January.
    7. Esa Mangeloja, 2004. "Interrelationship of economic growth and regional religious properties," ERSA conference papers ersa04p94, European Regional Science Association.
    8. Atolia, Manoj & Chatterjee, Santanu & Turnovsky, Stephen J., 2010. "How misleading is linearization? Evaluating the dynamics of the neoclassical growth model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1550-1571, September.
    9. Pierre‐Richard Agénor, 2009. "Infrastructure Investment and Maintenance Expenditure: Optimal Allocation Rules in a Growing Economy," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 11(2), pages 233-250, April.
    10. Arcalean, Calin & Glomm, Gerhard & Schiopu, Ioana, 2012. "Growth effects of spatial redistribution policies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 988-1008.
    11. Gonzalez-Eiras, Martín & Niepelt, Dirk, 2012. "Ageing, government budgets, retirement, and growth," European Economic Review, Elsevier, vol. 56(1), pages 97-115.
    12. Ingrid Ott & Stephen J. Turnovsky, 2006. "Excludable and Non‐excludable Public Inputs: Consequences for Economic Growth," Economica, London School of Economics and Political Science, vol. 73(292), pages 725-748, November.
    13. Iamsiraroj, Sasi, 2016. "The foreign direct investment–economic growth nexus," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 116-133.
    14. David Owyong & Shandre Thangavelu, 2001. "An empirical study on public capital spillovers from the USA to Canada," Applied Economics, Taylor & Francis Journals, vol. 33(11), pages 1493-1499.
    15. Jing Xing, 2011. "Does tax structure affect economic growth? Empirical evidence from OECD countries," Working Papers 1120, Oxford University Centre for Business Taxation.
    16. Ingrid Ott & Susanne Soretz, 2006. "Governmental activity, integration, and agglomeration," Working Paper Series in Economics 57, University of Lüneburg, Institute of Economics.
    17. Schreiner, Lena & Madlener, Reinhard, 2022. "Investing in power grid infrastructure as a flexibility option: A DSGE assessment for Germany," Energy Economics, Elsevier, vol. 107(C).
    18. Li, Shiyu & Lin, Shuanglin, 2011. "Is there any gain from social security privatization?," China Economic Review, Elsevier, vol. 22(3), pages 278-289, September.
    19. Pierre‐Richard Agénor, 2004. "Macroeconomic Adjustment and the Poor: Analytical Issues and Cross‐Country Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 18(3), pages 351-408, July.
    20. van de Klundert, T.C.M.J. & Smulders, J.A., 1991. "Reconstructing growth theory : A survey," Other publications TiSEM 19355c51-17eb-4d5d-aa66-b, Tilburg University, School of Economics and Management.

    More about this item

    Keywords

    Public capital; Regional Income; Spatial Durbin Model; Augmented MRW model;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:mad:wpaper:2023-243. 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: Geetha G (email available below). General contact details of provider: https://edirc.repec.org/data/mseacin.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.