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Determinants of Fertilizer Adoption by Rice Farmers in Bende Local Government Area of Abia State, Nigeria

Author

Listed:
  • Onyenweaku, C.E
  • Okoye, B.C
  • Okorie, K.C

Abstract

This study presents empirical evidence to show how socio-economic factors affect adoption and use intensity of chemical fertilizers in Bende local Government Area of Abia State by using the Tobit model. A multi-stage random sampling technique was used to select 100 rice farmers in the L.G.A in 2007. The result of the analysis found farm size, type of ecosystem, tillage type, education, population pressure on land farmers’ age and non-farm income to be positively and significantly related to adoption and use intensity of chemical fertilizer, while field distance to the village, gender, access to credit and labour availability had an indirect relationship with adoption and use intensity of chemical fertilizer. There were no significant relationship between adoption and soil fertility status, field type, village distance to market and membership of social organizations. These results call for policies and measures for more security of tenure to land, education, access to tractor services, good rural road networks, access to credit, and programs that target both gender groups to ensure equitable adoption of chemical fertilizer by male and female farmers.

Suggested Citation

  • Onyenweaku, C.E & Okoye, B.C & Okorie, K.C, 2007. "Determinants of Fertilizer Adoption by Rice Farmers in Bende Local Government Area of Abia State, Nigeria," MPRA Paper 26116, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:26116
    as

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    File URL: https://mpra.ub.uni-muenchen.de/26116/1/MPRA_paper_26116.pdf
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    References listed on IDEAS

    as
    1. Guy B. Nkamleu & Roger Tsafack Nanfosso, 2007. "On Measuring Indebtedness of African Countries," The African Finance Journal, Africagrowth Institute, vol. 9(1), pages 21-38.
    2. Carlsson, Fredrik & Köhlin, Gunnar & Mekonnen, Alemu & Yesuf, Mahmud, 2005. "Are Agricultural Extension Packages What Ethiopian Farmers Want? A Stated Preference Analysis," Working Papers in Economics 172, University of Gothenburg, Department of Economics.
    3. Fernandez-Cornejo, Jorge, 1996. "The Microeconomic Impact of IPM Adoption: Theory and Application," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(02), pages 149-160, October.
    4. Leggesse Dadi & Michael Burton & Adam Ozanne, 2004. "Duration Analysis of Technological Adoption in Ethiopian Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 613-631.
    5. Fernandez-Cornejo, Jorge, 1996. "The Microeconomic Impact Of Ipm Adoption: Theory And Application," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), October.
    6. Suleiman Abrar & Oliver Morrissey & Tony Rayner, 2004. "Crop-Level Supply Response by Agro-Climatic Region in Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(2), pages 289-311.
    7. Caswell, Margriet & Fuglie, Keith O. & Ingram, Cassandra & Jans, Sharon & Kascak, Catherine, 2001. "Adoption of Agricultural Production Practices: Lessons Learned from the U.S. Department of Agriculture Area Studies Project," Agricultural Economics Reports 33985, United States Department of Agriculture, Economic Research Service.
    8. Luc Christiaensen & Lionel Demery, 2007. "Down to Earth : Agriculture and Poverty Reduction in Africa," World Bank Publications, The World Bank, number 6624, June.
    9. Andre Croppenstedt & Mulat Demeke & Meloria M. Meschi, 2003. "Technology Adoption in the Presence of Constraints: the Case of Fertilizer Demand in Ethiopia," Review of Development Economics, Wiley Blackwell, vol. 7(1), pages 58-70, February.
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    More about this item

    Keywords

    Fertilizer Adoption; Tobit Model and Rice Farmers;

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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