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Statistical research of labor resources of agriculture in the USA (according to the 2012 Census of agriculture)

Author

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  • Ukolova, Anna
  • Dashieva, Bayarma

Abstract

The article is devoted to the research of experience of the United States - one of the countries with a federal system, highly developed economy and agriculture - on conducting, design and presentation of the results of agricultural censuses in terms of workforce analysis capabilities. The key role of ensuring agricultural workforce as one of the main factors of efficiency of agricultural production was revealed based on economic and statistical and econometric analysis. It is closely associated with other indicators of the intensity of production, its concentration and specialization.

Suggested Citation

  • Ukolova, Anna & Dashieva, Bayarma, 2016. "Statistical research of labor resources of agriculture in the USA (according to the 2012 Census of agriculture)," MPRA Paper 71663, University Library of Munich, Germany, revised 31 May 2016.
    • Handle: RePEc:pra:mprapa:71663
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    References listed on IDEAS

    as
    1. Hoppe, Robert A. & MacDonald, James M., 2013. "Updating the ERS Farm Typology," Economic Information Bulletin 147120, United States Department of Agriculture, Economic Research Service.
    2. Vasilii Uzun, 2005. "Large and Small Business in Russian Agriculture: Adaptation to Market," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 47(1), pages 85-100, March.
    3. Zinchenko, Aleksey & Ukolova, Anna, 2014. "О Программе Всероссийской Сельскохозяйственной Переписи 2016 Года [On the programme for the 2016 Russia census of agriculture]," MPRA Paper 71722, University Library of Munich, Germany.
    4. Hoppe, Robert A., "undated". "Structure and Finances of U.S. Farms: Family Farm Report, 2014 Edition," Economic Information Bulletin 262118, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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