IDEAS home Printed from
   My bibliography  Save this paper

Pattern Identification of Land use and Resource use efficiencies in Agriculture in Jhabua Tribal district in Madhya Pradesh


  • Singh, RD
  • Singh, Vivek Kumar


In the fifties and sixties of 20th century, the regional economists identified a regional process of circular and cumulative causation of under- development of resource-rich but backward regions (Myrdal) and core-periphery relation of developed industrial regions with resource hinterland regions (Friedman). In the seventies, environment and development conflicts were identified leading to ecological and socio-economic degradation in the resource regions. In the regional framework, the tribal regions as sub-national regions have come under serious anthropogenic impacts due to increasing demands for resource materials for trade and industries. Growing awareness of environmental degradation and depletion, the policy makers, planners, environmentalist and economists have focused their attention to examine the efficiencies of land use and the resource use in agriculture, identifying the ecological and economic efficiencies of the resource use pattern. Agriculture, being an organic economic activity, has a close relation with the natural resources like land and water. The tribal ecology is changing and the tribes have gradually adapted to agriculture activities and a distinct agro-ecosystem has grown in tribal areas. The tribes are trying to diversify the resource use for their ecological and economic sustenance. The government is also influencing resource use and land use as development strategy in the tribal region. It is necessary to examine the land use and the resource use efficiencies in the agricultural areas in regional and temporal framework. Land use and resource use efficiencies have been measured to evaluate ecologic and economic efficiency and growth in agriculture. Since, agriculture operates in system dynamic framework in which agriculture has close relation with other uses like forestry in ecological landscape in eco-regional framework and is affected by climatic change and other anthropogenic impacts resulting from industrialization and urbanization. it is necessary to identify the land use and resource use efficiencies in agriculture in the tribal eco-system. Along with land, other natural resources like water are important in agriculture. The efficiency of irrigation may be an indicator to identify the use of water resource and its efficiency in agriculture. The land use and irrigation intensity are used as an indicators for measuring land use and resource use efficiency in this study. In this paper, the land use intensity has been measured by (1) Analysis of the land use extension in agriculture in different tahsils of Jhabua district to identify the level of resource use in different regions. (2) The land use and irrigation intensity has been used as measure of resource use intensity and efficiency in different tahsils in study area (3) The agricultural land use efficiency has been measured using standard coefficient, which is a modified Kendall’s Ranking Coefficient method for agricultural land use zoning based on land use efficiencies

Suggested Citation

  • Singh, RD & Singh, Vivek Kumar, 2009. "Pattern Identification of Land use and Resource use efficiencies in Agriculture in Jhabua Tribal district in Madhya Pradesh," MPRA Paper 28543, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:28543

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
    2. Henry G. Overman & Diego Puga, 2002. "Unemployment clusters across Europe's regions and countries," Economic Policy, CEPR;CES;MSH, vol. 17(34), pages 115-148, April.
    3. Fabio Canova, 2004. "Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 49-77, February.
    4. Maria Francesca Cracolici & Miranda Cuffaro & Peter Nijkamp, 2007. "Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy," Growth and Change, Wiley Blackwell, vol. 38(4), pages 649-670.
    5. Enrique Lopez-Bazo & Tomas Del Barrio & Manuel Artis, 2005. "Geographical distribution of unemployment in Spain," Regional Studies, Taylor & Francis Journals, vol. 39(3), pages 305-318.
    6. Theodore M. Crone, 2005. "An Alternative Definition of Economic Regions in the United States Based on Similarities in State Business Cycles," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 617-626, November.
    7. Costas Megir & Danny Quah, 1996. "Regional Convergence Clusters Across Europe," CEP Discussion Papers dp0274, Centre for Economic Performance, LSE.
    8. Taylor, Jim & Bradley, Steve, 1997. "Unemployment in Europe: A Comparative Analysis of Regional Disparities in Germany, Italy and the UK," Kyklos, Wiley Blackwell, vol. 50(2), pages 221-245.
    9. Mark Partridge & Dan Rickman, 1997. "The Dispersion of US State Unemployment Rates: The Role of Market and Non-market Equilibrium Factors," Regional Studies, Taylor & Francis Journals, vol. 31(6), pages 593-606.
    10. Fruhwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2008. "Model-Based Clustering of Multiple Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 78-89, January.
    11. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
    12. Paap, Richard & Franses, Philip Hans & van Dijk, Dick, 2005. "Does Africa grow slower than Asia, Latin America and the Middle East? Evidence from a new data-based classification method," Journal of Development Economics, Elsevier, vol. 77(2), pages 553-570, August.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Pattern identification; land use and resource use efficiency; Kendall's Ranking coefficient;

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development


    Access and download statistics


    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:pra:mprapa:28543. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.