IDEAS home Printed from https://ideas.repec.org/p/ags/eaa150/212652.html
   My bibliography  Save this paper

Indian Agricultural Growth- A Spatial Perspective

Author

Listed:
  • Chatterjee, Tirtha

Abstract

In this paper, we study the role of relative spatial location of states on agricultural growth in India. We use different definitions of neighbourhood and through a Spatial Durbin Model in a dynamic panel framework, we find that district based weighing scheme best explains the spatial dependence. The channels through which spatial spill-over occur are rural literacy, roads, irrigation and income of neighbouring states. The other factors driving agricultural income growth in India are inputs, infrastructural support and agricultural diversification. Identification of these channels of spatial interdependence will have implications for policies aimed at reducing spatial differences across Indian states.

Suggested Citation

  • Chatterjee, Tirtha, 2015. "Indian Agricultural Growth- A Spatial Perspective," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212652, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa150:212652
    DOI: 10.22004/ag.econ.212652
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212652/files/Indian%20Agricultural%20Growth-%20A%20Spatial%20Perspective.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.212652?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
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Stanislav Stakhovych & Tammo H.A. Bijmolt, 2009. "Specification of spatial models: A simulation study on weights matrices," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 389-408, June.
    3. Binswanger, Hans P. & Khandker, Shahidur R. & Rosenzweig, Mark R., 1993. "How infrastructure and financial institutions affect agricultural output and investment in India," Journal of Development Economics, Elsevier, vol. 41(2), pages 337-366, August.
    4. Gerald C. Nelson & Daniel Hellerstein, 1997. "Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 80-88.
    5. Myles Patton & Seamus McErlean, 2003. "Spatial Effects within the Agricultural Land Market in Northern Ireland," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(1), pages 35-54, March.
    6. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    7. 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.
    8. Eva Schmidtner & Christian Lippert & Barbara Engler & Anna Maria Häring & Jaochim Aurbacher & Stephan Dabbert, 2012. "Spatial distribution of organic farming in Germany: does neighbourhood matter?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(4), pages 661-683, September.
    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. Tirtha Chatterjee, 2017. "Spatial Convergence and Growth in Indian Agriculture: 1967–2010," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 121-149, March.
    2. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    3. Allen Blackman & Beatriz Ávalos-Sartorio & Jeffrey Chow, 2012. "Land Cover Change in Agroforestry: Shade Coffee in El Salvador," Land Economics, University of Wisconsin Press, vol. 88(1), pages 75-101.
    4. Xiaokun Wang & Kara M. Kockelman, 2009. "Baysian Inference For Ordered Response Data With A Dynamic Spatial‐Ordered Probit Model," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 877-913, December.
    5. Feichtinger, Paul & Salhofer, Klaus, 2013. "A Spatial Analysis of Agricultural Land Prices in Bavaria," Working papers 160741, Factor Markets, Centre for European Policy Studies.
    6. Nelson, Gerald C. & Geoghegan, Jacqueline, 2002. "Deforestation and land use change: sparse data environments," Agricultural Economics, Blackwell, vol. 27(3), pages 201-216, November.
    7. Kathleen P. Bell & Timothy J. Dalton, 2007. "Spatial Economic Analysis in Data‐Rich Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 487-501, September.
    8. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    9. Parker, Dawn C. & Munroe, Darla K., 2007. "The geography of market failure: Edge-effect externalities and the location and production patterns of organic farming," Ecological Economics, Elsevier, vol. 60(4), pages 821-833, February.
    10. Niedermayr, Andreas & Kapfer, Martin & Kantelhardt, Jochen, 2016. "Using Econometric Models To Analyse The Spatial Distribution Of Oil Pumpkin Cultivation In Austria," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244886, German Association of Agricultural Economists (GEWISOLA).
    11. Lewis, David J., 2010. "An economic framework for forecasting land-use and ecosystem change," Resource and Energy Economics, Elsevier, vol. 32(2), pages 98-116, April.
    12. Allen Blackman & Heidi J. Albers & Beatriz ávalos-Sartorio & Lisa Crooks Murphy, 2008. "Land Cover in a Managed Forest Ecosystem: Mexican Shade Coffee," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 216-231.
    13. Blackman, Allen & Ã valos-Sartorio, Beatriz & Chow, Jeffrey, 2008. "Land Cover Change in Mixed Agroforestry: Shade Coffee in El Salvador," RFF Working Paper Series dp-08-25-efd, Resources for the Future.
    14. Pfaff, Alexander S. P., 1999. "What Drives Deforestation in the Brazilian Amazon?: Evidence from Satellite and Socioeconomic Data," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 26-43, January.
    15. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
    16. Lewis, David J. & Plantinga, Andrew J., 2004. "Policies To Reduce Forest Fragmentation: Combining Econometric Models With Gis-Based Landscape Simulations," 2004 Annual meeting, August 1-4, Denver, CO 19910, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Mannaf, Maksuda & Wheeler, Sarah Ann & Zuo, Alec, 2023. "Global and Local Spatial Spill-Overs: What Matters Most for the Diffusion of Organic Agriculture in Australia?," Ecological Economics, Elsevier, vol. 209(C).
    18. Munroe, Darla K. & Southworth, Jane & Tucker, Catherine M., 2002. "The dynamics of land-cover change in western Honduras: exploring spatial and temporal complexity," Agricultural Economics, Blackwell, vol. 27(3), pages 355-369, November.
    19. Bonfiglio, Andrea & Arzeni, Andrea, 2019. "Spatial distribution of organic farms and territorial context: An application to an Italian rural region," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 8(3), December.
    20. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.

    More about this item

    Keywords

    Agricultural and Food Policy;

    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:ags:eaa150:212652. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.