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Socio-economic Classification of Farm Households--Conceptual, Methodological and Empirical Considerations

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  • Gebauer, Rolf H

Abstract

The methodical and conceptual deficiencies of traditional classification schemes is discussed in th is article, referring to the socioeconomic classification scheme curr ently used in West Germany. Next, the methodical aspects of using cl uster-analysis techniques for constructing a revised socioeconomic cl assification scheme are outlined and the variable selection procedure is explained. The classification obtained here consists of four type s of farm households, divided according to whether the operator and/o r other family members have nonfarm employment or not. Copyright 1987 by Oxford University Press.

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  • Gebauer, Rolf H, 1987. "Socio-economic Classification of Farm Households--Conceptual, Methodological and Empirical Considerations," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 14(3), pages 261-283.
    • Handle: RePEc:oup:erevae:v:14:y:1987:i:3:p:261-83
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    Cited by:

    1. Sasaki, Mitsuhiro & Katsura, Shigetoshi, 1989. "The asymmetric continuous distribution function of the effective field of the Ising model in the spin glass and the ferromagnetic states on the Bethe lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 157(3), pages 1195-1202.
    2. Rupak Goswami & Soumitra Chatterjee & Binoy Prasad, 2014. "Farm types and their economic characterization in complex agro-ecosystems for informed extension intervention: study from coastal West Bengal, India," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-24, December.
    3. Akagi, Eiichi & Seino, Mitsuhiro & Katsura, Shigetoshi, 1991. "The free energy at T = 0 of the spin glass in the case of the continuous distribution of the effective field on the Bethe lattice for Z = 4, 5, 6," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 178(3), pages 406-414.
    4. Iraizoz, Belen & Gorton, Matthew & Davidova, Sophia, 2007. "Segmenting farms for analysing agricultural trajectories: A case study of the Navarra region in Spain," Agricultural Systems, Elsevier, vol. 93(1-3), pages 143-169, March.
    5. Bidogeza, J.C. & Berentsen, Paul B.M. & De Graaff, J. & Oude Lansink, Alfons G.J.M., 2008. "Multivariate Typology of Farm Households Based on Socio-Economic Characteristics Explaining Adoption of New Technology in Rwanda," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52107, African Association of Agricultural Economists (AAAE).
    6. 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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