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Factor Analysis Of The Utilization And Ownership Structure Of Agricultural Land Areas In Romania

Author

Listed:
  • Elena TOMA

    (University of Agronomic Sciences and Veterinary Medicine of Bucharest)

  • Carina DOBRE

    (University of Agronomic Sciences and Veterinary Medicine of Bucharest)

Abstract

The Romanian agriculture seen from the perspective of land structure and ownership forms is characterized by specific elements at territorial level. The purpose of this paper is to classify the counties from Romania according to the main variables that characterize the agrarian structures, through specific methods like factor analysis and cluster analysis. The research works identified six clusters with similar characteristics delimiting the Romanian agricultural profile. The results obtained have allowed us to conclude that the agricultural policy measures should be tailored in accordance with this classification, which range from counties with a high share of arable land and a high percentage of the leased in land to counties with a high share of pastures and meadows and a high share of land areas into ownership.

Suggested Citation

  • Elena TOMA & Carina DOBRE, 2016. "Factor Analysis Of The Utilization And Ownership Structure Of Agricultural Land Areas In Romania," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 13(2), pages 159-168.
    • Handle: RePEc:iag:reviea:v:13:y:2016:i:2:p:159-168
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    References listed on IDEAS

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    1. Kobrich, C. & Rehman, T. & Khan, M., 2003. "Typification of farming systems for constructing representative farm models: two illustrations of the application of multi-variate analyses in Chile and Pakistan," Agricultural Systems, Elsevier, vol. 76(1), pages 141-157, April.
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    More about this item

    Keywords

    utilized agricultural area; ownership forms; principal component analysis; cluster analysis.;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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