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Data Envelopment Analysis Approach as a Complement to Resource-Use Efficiency Among Rice Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria

Received: 23 February 2015    Accepted: 10 March 2015    Published: 19 March 2015
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Abstract

This study examines the Data Envelopment Analysis Approach as a complement to resource-use efficiency among rice farmers in Ogbomoso agricultural zone of Oyo State. Data for the study were collected from 120 rice producers in seven villages in the study area pertaining to the 2012-13 crop season. Farm budgeting technique and production function analyses which incorporate the conventional neoclassical test of economic and technical efficiencies were used as the analytical techniques. The results of this study revealed that the farmers were inefficient in using the resources, rice seeds planted while fertilizers, labourer and agrochemicals were found to be under-utilized. The study recommends that appropriate adjustment is required for optimum allocation of resources and to maximize the revenue from the rice cultivation.

DOI 10.11648/j.jwer.20150402.11
Published in Journal of World Economic Research (Volume 4, Issue 2, April 2015)
Page(s) 23-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Resource-Use Efficiency, Farm Budgeting Technique, Production Function Analyses

References
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Author Information
  • Agricultural Economics Department, Landmark University, Omu-Aran, Kwara State, Nigeria

  • Agricultural Extension Department, Landmark University, Omu-Aran, Kwara State, Nigeria

  • Agricultural Economics Department, Landmark University, Omu-Aran, Kwara State, Nigeria

  • Oxford Policy Management, 5 Winipeg Close off Panama, Maitama Abuja

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  • APA Style

    Adedeji Israel Ajibade, Fabiyi Esther Funsho, Adigun Grace Toyin, Oyetunde Timothy Oyeyemi. (2015). Data Envelopment Analysis Approach as a Complement to Resource-Use Efficiency Among Rice Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria. Journal of World Economic Research, 4(2), 23-31. https://doi.org/10.11648/j.jwer.20150402.11

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    ACS Style

    Adedeji Israel Ajibade; Fabiyi Esther Funsho; Adigun Grace Toyin; Oyetunde Timothy Oyeyemi. Data Envelopment Analysis Approach as a Complement to Resource-Use Efficiency Among Rice Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria. J. World Econ. Res. 2015, 4(2), 23-31. doi: 10.11648/j.jwer.20150402.11

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    AMA Style

    Adedeji Israel Ajibade, Fabiyi Esther Funsho, Adigun Grace Toyin, Oyetunde Timothy Oyeyemi. Data Envelopment Analysis Approach as a Complement to Resource-Use Efficiency Among Rice Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria. J World Econ Res. 2015;4(2):23-31. doi: 10.11648/j.jwer.20150402.11

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  • @article{10.11648/j.jwer.20150402.11,
      author = {Adedeji Israel Ajibade and Fabiyi Esther Funsho and Adigun Grace Toyin and Oyetunde Timothy Oyeyemi},
      title = {Data Envelopment Analysis Approach as a Complement to Resource-Use Efficiency Among Rice Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria},
      journal = {Journal of World Economic Research},
      volume = {4},
      number = {2},
      pages = {23-31},
      doi = {10.11648/j.jwer.20150402.11},
      url = {https://doi.org/10.11648/j.jwer.20150402.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.jwer.20150402.11},
      abstract = {This study examines the Data Envelopment Analysis Approach as a complement to resource-use efficiency among rice farmers in Ogbomoso agricultural zone of Oyo State. Data for the study were collected from 120 rice producers in seven villages in the study area pertaining to the 2012-13 crop season. Farm budgeting technique and production function analyses which incorporate the conventional neoclassical test of economic and technical efficiencies were used as the analytical techniques. The results of this study revealed that the farmers were inefficient in using the resources, rice seeds planted while fertilizers, labourer and agrochemicals were found to be under-utilized. The study recommends that appropriate adjustment is required for optimum allocation of resources and to maximize the revenue from the rice cultivation.},
     year = {2015}
    }
    

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    T1  - Data Envelopment Analysis Approach as a Complement to Resource-Use Efficiency Among Rice Farmers in Ogbomoso Agricultural Zone of Oyo State, Nigeria
    AU  - Adedeji Israel Ajibade
    AU  - Fabiyi Esther Funsho
    AU  - Adigun Grace Toyin
    AU  - Oyetunde Timothy Oyeyemi
    Y1  - 2015/03/19
    PY  - 2015
    N1  - https://doi.org/10.11648/j.jwer.20150402.11
    DO  - 10.11648/j.jwer.20150402.11
    T2  - Journal of World Economic Research
    JF  - Journal of World Economic Research
    JO  - Journal of World Economic Research
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    EP  - 31
    PB  - Science Publishing Group
    SN  - 2328-7748
    UR  - https://doi.org/10.11648/j.jwer.20150402.11
    AB  - This study examines the Data Envelopment Analysis Approach as a complement to resource-use efficiency among rice farmers in Ogbomoso agricultural zone of Oyo State. Data for the study were collected from 120 rice producers in seven villages in the study area pertaining to the 2012-13 crop season. Farm budgeting technique and production function analyses which incorporate the conventional neoclassical test of economic and technical efficiencies were used as the analytical techniques. The results of this study revealed that the farmers were inefficient in using the resources, rice seeds planted while fertilizers, labourer and agrochemicals were found to be under-utilized. The study recommends that appropriate adjustment is required for optimum allocation of resources and to maximize the revenue from the rice cultivation.
    VL  - 4
    IS  - 2
    ER  - 

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