IDEAS home Printed from https://ideas.repec.org/p/ags/aaae07/52107.html
   My bibliography  Save this paper

Multivariate Typology of Farm Households Based on Socio-Economic Characteristics Explaining Adoption of New Technology in Rwanda

Author

Listed:
  • Bidogeza, J.C.
  • Berentsen, Paul B.M.
  • De Graaff, J.
  • Oude Lansink, Alfons G.J.M.

Abstract

The challenge for agricultural policymakers and planners, particularly in the context of Rwanda with high population density and consequently food insecurity, is how to enable farmers to adopt new technology. It is known that adoption of new technology may vary among farm households because of socio-economic characteristics. This paper intends to typify farm households in Rwanda based on the exploration of factors explaining adoption of new technology. Ultimately, typical farms obtained from the typology will be used, later as basis to develop representative mathematical programming models. Multivariate statistical techniques offer the means of creating such typologies, particularly when an in-depth database is available. This multivariate analysis approach, combining principal component analysis (PCA) and cluster analysis (CA), has allowed us to identify clearly five typical farm households and their socio-economic characteristics explaining adoption of new technology.. Multivariate statistical techniques, such as PCA and CA, are great tools to envisage building mathematical programming models on the basis of typical farm households.

Suggested Citation

  • 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).
    • Handle: RePEc:ags:aaae07:52107
    DOI: 10.22004/ag.econ.52107
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/52107/files/Bidogeza.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.52107?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Hardiman, R. T. & Lacey, R. & Yang Mu Yi, 1990. "Use of cluster analysis for identification and classification of farming systems in Qingyang County, Central North China," Agricultural Systems, Elsevier, vol. 33(2), pages 115-125.
    3. Kostrowicki, Jerzy, 1977. "Agricultural typology concept and method," Agricultural Systems, Elsevier, vol. 2(1), pages 33-45, January.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Emtage, Nicholas & Herbohn, John, 2012. "Assessing rural landholders diversity in the Wet Tropics region of Queensland, Australia in relation to natural resource management programs: A market segmentation approach," Agricultural Systems, Elsevier, vol. 110(C), pages 107-118.
    4. Stylianou, Andreas & Sdrali, Despina & Apostolopoulos, Constantinos D., 2020. "Capturing the diversity of Mediterranean farming systems prior to their sustainability assessment: The case of Cyprus," Land Use Policy, Elsevier, vol. 96(C).
    5. So Pyay Thar & Thiagarajah Ramilan & Robert J. Farquharson & Deli Chen, 2021. "Identifying Potential for Decision Support Tools through Farm Systems Typology Analysis Coupled with Participatory Research: A Case for Smallholder Farmers in Myanmar," Agriculture, MDPI, vol. 11(6), pages 1-20, June.
    6. Netshipale, A.J. & Raidimi, E.N. & Mashiloane, M.L. & de Boer, I.J.M. & Oosting, S.J., 2022. "Farming system diversity and its drivers in land reform farms of the Waterberg District, South Africa," Land Use Policy, Elsevier, vol. 117(C).
    7. Upadhaya, Suraj & G. Arbuckle, J. & Schulte, Lisa A., 2023. "Farmer typologies integrating latent and observed characteristics: Insights for soil and water conservation outreach," Land Use Policy, Elsevier, vol. 134(C).
    8. Robles, Rita Robles & de la Puente, Telesforo & Moran, J. & Juan, A., 2008. "Typification and economic analysis of beef-producing farms in Spain," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44370, European Association of Agricultural Economists.
    9. B. Bala & S. Majumder & S. Altaf Hossain & M. Haque & M. Hossain, 2013. "Exploring development strategies of agricultural systems of Hill Tracts of Chittagong in Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(4), pages 949-966, August.
    10. Luis Javier R. Barron & Aitor Andonegi & Gonzalo Gamboa & Eneko Garmendia & Oihana García & Noelia Aldai & Arantza Aldezabal, 2021. "Sustainability Assessment of Pasture-Based Dairy Sheep Systems: A Multidisciplinary and Multiscale Approach," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
    11. Głębocki Benicjusz & Kacprzak Ewa & Kossowski Tomasz, 2019. "Multicriterion Typology of Agriculture: A Spatial Dependence Approach," Quaestiones Geographicae, Sciendo, vol. 38(2), pages 29-49, June.
    12. Elizabeth Ahikiriza & Joshua Wesana & Xavier Gellynck & Guido Van Huylenbroeck & Ludwig Lauwers, 2021. "Context Specificity and Time Dependency in Classifying Sub-Saharan Africa Dairy Cattle Farmers for Targeted Extension Farm Advice: The Case of Uganda," Agriculture, MDPI, vol. 11(9), pages 1-19, August.
    13. Upadhaya, Suraj & Arbuckle, J. Gordon & Schulte, Lisa A., 2021. "Developing farmer typologies to inform conservation outreach in agricultural landscapes," Land Use Policy, Elsevier, vol. 101(C).
    14. J. Bidogeza & P. Berentsen & J. Graaff & A. Oude Lansink, 2009. "A typology of farm households for the Umutara Province in Rwanda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(3), pages 321-335, September.
    15. 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.
    16. Primrose Madende & Johannes I. F. Henning & Henry Jordaan, 2023. "Accounting for Heterogeneity among Youth: A Missing Link in Enhancing Youth Participation in Agriculture—A South African Case Study," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    17. Niki-Artemis Spyridaki & Anastasia Ioannou & Alexandros Flamos, 2016. "How Can the Context Affect Policy Decision-Making: The Case of Climate Change Mitigation Policies in the Greek Building Sector," Energies, MDPI, vol. 9(4), pages 1-22, April.
    18. Gonzalo Gamboa & Zora Kovacic & Marina Di Masso & Sara Mingorría & Tiziano Gomiero & Marta Rivera-Ferré & Mario Giampietro, 2016. "The Complexity of Food Systems: Defining Relevant Attributes and Indicators for the Evaluation of Food Supply Chains in Spain," Sustainability, MDPI, vol. 8(6), pages 1-23, May.
    19. 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.
    20. Pere Ariza-Montobbio & Susana Herrero Olarte, 2021. "Socio-metabolic profiles of electricity consumption along the rural–urban continuum of Ecuador: Whose energy sovereignty?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7961-7995, May.

    Corrections

    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:ags:aaae07:52107. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.