IDEAS home Printed from https://ideas.repec.org/a/spr/jsecdv/v19y2017i1d10.1007_s40847-017-0033-3.html
   My bibliography  Save this article

Panel data analysis: convergence of Indian states with infrastructure

Author

Listed:
  • Flora Pandya

    (University of Mumbai)

  • Suresh Maind

    (University of Mumbai)

Abstract

Augmented Solow model neoclassical growth theory framework is used with infrastructure. The poor economies tend to grow more because of diminishing returns to capital. The idea of conditional convergence used by Barro and Sala-i-Martin for the β-convergence of the steady state equilibrium is used for the Indian States and Union Territories with the infrastructure index. The panel data set is used for the analysis as it has more advantages over the cross section and time series data. The dynamic panel data are estimated using the fixed effect model and generalized methods of moments for the estimation for the period of 1990–1991 to 2010–2011. The dynamic panel data models are more consistent and efficient estimator with the generalized methods of moments than the fixed effect models. The infrastructure index and growth have significant positive relationship. The Barro and Sala-i-Martin version of the β-convergence holds for the Indian States and Union Territories a clear evidence of conditional convergence.

Suggested Citation

  • Flora Pandya & Suresh Maind, 2017. "Panel data analysis: convergence of Indian states with infrastructure," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(1), pages 181-195, April.
    • Handle: RePEc:spr:jsecdv:v:19:y:2017:i:1:d:10.1007_s40847-017-0033-3
    DOI: 10.1007/s40847-017-0033-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40847-017-0033-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40847-017-0033-3?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. Samarjit Das & Chetan Ghate & Peter E. Robertson, 2013. "Remoteness and Unbalanced Growth: Understanding Divergence Across Indian Districts," Economics Discussion / Working Papers 13-31, The University of Western Australia, Department of Economics.
    2. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    3. 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.
    4. Prabir De & Buddhadeb Ghosh, 2005. "Effects of infrastructure on regional income in the era of globalization: new evidence from South Asia," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 12(1), pages 81-107, June.
    5. Tomasz Brodzicki, 2012. "Augmented Solow Model with Mincerian Education and Transport Infrastructure Externalities," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 6(2), pages 155-170, July.
    6. Lei Ding & Kingsley Haynes & Yanchun Liu, 2008. "Telecommunications infrastructure and regional income convergence in China: panel data approaches," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(4), pages 843-861, December.
    7. Anusua Datta & Sumit Agarwal, 2004. "Telecommunications and economic growth: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1649-1654.
    8. 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.
    9. Somasekharan, Jayasekhar & Prasad, Syam & Roy, V.P. Nirmal, 2011. "Convergence Hypothesis: Some Dynamics and Explanations of Agricultural Growth across Indian States," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(2), December.
    10. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. J. Stephen Ferris & Bharatee Bhusana Dash, 2023. "Does a swing voter model with voter turnout reflect the closeness of the Indian state elections: 1957 - 2018?," Applied Economics, Taylor & Francis Journals, vol. 55(6), pages 594-602, February.
    2. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).

    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. Zhaofang Chu, 2012. "Logistics and economic growth: a panel data approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 87-102, August.
    2. Almeida, Rubiane Daniele Cardoso de & Tabak, Benjamin M. & Moreira, Tito Belchior S., 2023. "Demographic aspects and regional income convergence in Brazil: a panel data approach," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    3. 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).
    4. Celbis, Mehmet Guney & Wong, Pui-hang & Guznajeva, Tatjana, 2018. "The Eurasian customs union and the economic geography of Belarus: A panel convergence approach," MERIT Working Papers 2018-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    6. Sai Ding & John Knight, 2011. "Why has China Grown So Fast? The Role of Physical and Human Capital Formation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 141-174, April.
    7. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    8. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    9. Andrés Rodríguez-Pose & Roberto Ganau, 2022. "Institutions and the productivity challenge for European regions," Journal of Economic Geography, Oxford University Press, vol. 22(1), pages 1-25.
    10. Mariusz Próchniak & Bartosz Witkowski, 2006. "Modelowanie realnej konwergencji w skali międzynarodowej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 1-31.
    11. Roberto Leon-Gonzalez & Daniel Montolio, 2004. "Growth, convergence and public investment. A Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1925-1936.
    12. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    13. Fernanda Llussa, 2007. "Cross-country analyses of economic growth: an econometric survey," Nova SBE Working Paper Series wp518, Universidade Nova de Lisboa, Nova School of Business and Economics.
    14. Asongu Simplice & Nwachukwu Jacinta, 2018. "Fighting Terrorism: Empirics on Policy Harmonisation," German Economic Review, De Gruyter, vol. 19(3), pages 237-259, August.
    15. Rizov, Marian, 2008. "Institutions, reform policies, and productivity growth in agriculture: Evidence from former communist countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 55(4), pages 307-323.
    16. Alexander B. Darku, 2021. "International trade and income convergence: Sorting out the nature of bilateral trade," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5337-5348, October.
    17. Asongu, Simplice & Andrés, Antonio R., 2015. "Trajectories in Knowledge Economy: Empirics from SSA and MENA countries," MPRA Paper 71786, University Library of Munich, Germany.
    18. Fernanda Llussa, 2007. "Geography matters more: geographical and institutional determinants of income in Brazilian states," Nova SBE Working Paper Series wp517, Universidade Nova de Lisboa, Nova School of Business and Economics.
    19. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
    20. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Revolution empirics: predicting the Arab Spring," Empirical Economics, Springer, vol. 51(2), pages 439-482, September.

    More about this item

    Keywords

    Infrastructure index; Fixed effect; Generalized methods of moments; Conditional convergence;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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:spr:jsecdv:v:19:y:2017:i:1:d:10.1007_s40847-017-0033-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.