IDEAS home Printed from
   My bibliography  Save this paper

Determinants of Work Animal Density in Tamil Nadu: An Econometric Analysis


  • Dhas, Albert Christopher


From independence, size and composition of bovines in Tamil Nadu showed differential growth pattern. The total bovine population showed an increasing trend up to the early-Sixties and thereafter stagnant till the early Eighties. While the milch animal stock increased steadily, the work animals showed a declining trend from seventies. These trends not only indicate the growing importance of dairy animals but also the competitive linkage between work and milch animal population. The work animal stock is highly influenced by the agro-climatic, institutional and economic factors and an analysis of capturing them is attempted in this paper. Initially, the changes in the size and composition of bovines, work animal population and its density since independence are traced. Subsequently, the factors determining work animal population and its density are examined using regression models. Two regression analyses are made, one representing phase I (1956-1974) and the other for phase II (1977-1994). Phase I basically represents the period when mechanisation in agriculture had been at the early stages and phase II represents the period when mechanization (both energisation of irrigation and tractorisation) was at a relatively higher level. The study revealed that while the agro-climatic and irrigation factors had played a major role in shaping the work animal density during the period prior to mid-Seventies, the technological, economic and institutional factors played a major role in recent years.

Suggested Citation

  • Dhas, Albert Christopher, 2008. "Determinants of Work Animal Density in Tamil Nadu: An Econometric Analysis," MPRA Paper 9589, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:9589

    Download full text from publisher

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

    References listed on IDEAS

    1. Antoni Bosch-Domènech & José G. Montalvo & Rosemarie Nagel & Albert Satorra, 2002. "One, Two, (Three), Infinity, ...: Newspaper and Lab Beauty-Contest Experiments," American Economic Review, American Economic Association, vol. 92(5), pages 1687-1701, December.
    2. Guth, Werner & Kocher, Martin & Sutter, Matthias, 2002. "Experimental 'beauty contests' with homogeneous and heterogeneous players and with interior and boundary equilibria," Economics Letters, Elsevier, vol. 74(2), pages 219-228, January.
    3. Duffy, John & Nagel, Rosemarie, 1997. "On the Robustness of Behaviour in Experimental "Beauty Contest" Games," Economic Journal, Royal Economic Society, vol. 107(445), pages 1684-1700, November.
    4. Nagel, Rosemarie, 1995. "Unraveling in Guessing Games: An Experimental Study," American Economic Review, American Economic Association, vol. 85(5), pages 1313-1326, December.
    5. Andrea Morone & Piergiuseppe Morone, 2007. "Guessing Games and People Behaviours: What Can we Learn?," SERIES 0015, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Feb 2007.
    6. Weber, Roberto A., 2003. "'Learning' with no feedback in a competitive guessing game," Games and Economic Behavior, Elsevier, vol. 44(1), pages 134-144, July.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Work Animal Density; Work Animals; Mechanisation; Irrigation; tractorisation; energisation; milch animals; bovines; Density; Cropping Pattern; Cropping Intensity; Econometrics; Tamil Nadu;

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • N5 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    NEP fields

    This paper has been announced in the following NEP Reports:


    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:9589. 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.