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Yield Response of Rice in Nigeria: A Co-Integration Analysis

Received: 8 January 2014    Accepted:     Published: 20 January 2014
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Abstract

To help bridge information gap in supply response studies for Nigeria and inform policy decision on how the demand-supply gap for rice in Nigeria could be bridged, the current study through the use of Johansen’s Full Information Maximum Likelihood test estimated a yield response model for Nigeria using national level data for the period 1966-2008. The results suggest that, increasing yield levels for paddy rice in Nigeria and ensuring stability requires interplay of biophysical, socio-economic and structural forces. By estimates for the current study, bridging of the demand-supply gap can be realized through initiation of measures to address inefficiencies in the supply chain to ensure appropriate transmission of price increment, promotion of local rice consumption to ensure ready market for farmers in times of increasing output, addressing soil fertility challenges through efficient use of fertilizer and regular management of fertility of rice fields, and increasing farmers access to credit to help them meet cost of relevant inputs of production. The latter suggestion could to a greater extent incite appropriate response of farmers to both price and non-price incentives in the country. Diagnostic tests conducted indicate that the residual series is normally distributed, non-serially correlated and homoscedastic.

Published in American Journal of Agriculture and Forestry (Volume 2, Issue 2)
DOI 10.11648/j.ajaf.20140202.11
Page(s) 15-24
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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

Co-Integration, Yield, Error Correction Model, Nigeria, Prices

References
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    David Boansi. (2014). Yield Response of Rice in Nigeria: A Co-Integration Analysis. American Journal of Agriculture and Forestry, 2(2), 15-24. https://doi.org/10.11648/j.ajaf.20140202.11

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    David Boansi. Yield Response of Rice in Nigeria: A Co-Integration Analysis. Am. J. Agric. For. 2014, 2(2), 15-24. doi: 10.11648/j.ajaf.20140202.11

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    AMA Style

    David Boansi. Yield Response of Rice in Nigeria: A Co-Integration Analysis. Am J Agric For. 2014;2(2):15-24. doi: 10.11648/j.ajaf.20140202.11

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  • @article{10.11648/j.ajaf.20140202.11,
      author = {David Boansi},
      title = {Yield Response of Rice in Nigeria: A Co-Integration Analysis},
      journal = {American Journal of Agriculture and Forestry},
      volume = {2},
      number = {2},
      pages = {15-24},
      doi = {10.11648/j.ajaf.20140202.11},
      url = {https://doi.org/10.11648/j.ajaf.20140202.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20140202.11},
      abstract = {To help bridge information gap in supply response studies for Nigeria and inform policy decision on how the demand-supply gap for rice in Nigeria could be bridged, the current study through the use of Johansen’s Full Information Maximum Likelihood test estimated a yield response model for Nigeria using national level data for the period 1966-2008. The results suggest that, increasing yield levels for paddy rice in Nigeria and ensuring stability requires interplay of biophysical, socio-economic and structural forces. By estimates for the current study, bridging of the demand-supply gap can be realized through initiation of measures to address inefficiencies in the supply chain to ensure appropriate transmission of price increment, promotion of local rice consumption to ensure ready market for farmers in times of increasing output, addressing soil fertility challenges through efficient use of fertilizer and regular management of fertility of rice fields, and increasing farmers access to credit to help them meet cost of relevant inputs of production. The latter suggestion could to a greater extent incite appropriate response of farmers to both price and non-price incentives in the country. Diagnostic tests conducted indicate that the residual series is normally distributed, non-serially correlated and homoscedastic.},
     year = {2014}
    }
    

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    T1  - Yield Response of Rice in Nigeria: A Co-Integration Analysis
    AU  - David Boansi
    Y1  - 2014/01/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ajaf.20140202.11
    DO  - 10.11648/j.ajaf.20140202.11
    T2  - American Journal of Agriculture and Forestry
    JF  - American Journal of Agriculture and Forestry
    JO  - American Journal of Agriculture and Forestry
    SP  - 15
    EP  - 24
    PB  - Science Publishing Group
    SN  - 2330-8591
    UR  - https://doi.org/10.11648/j.ajaf.20140202.11
    AB  - To help bridge information gap in supply response studies for Nigeria and inform policy decision on how the demand-supply gap for rice in Nigeria could be bridged, the current study through the use of Johansen’s Full Information Maximum Likelihood test estimated a yield response model for Nigeria using national level data for the period 1966-2008. The results suggest that, increasing yield levels for paddy rice in Nigeria and ensuring stability requires interplay of biophysical, socio-economic and structural forces. By estimates for the current study, bridging of the demand-supply gap can be realized through initiation of measures to address inefficiencies in the supply chain to ensure appropriate transmission of price increment, promotion of local rice consumption to ensure ready market for farmers in times of increasing output, addressing soil fertility challenges through efficient use of fertilizer and regular management of fertility of rice fields, and increasing farmers access to credit to help them meet cost of relevant inputs of production. The latter suggestion could to a greater extent incite appropriate response of farmers to both price and non-price incentives in the country. Diagnostic tests conducted indicate that the residual series is normally distributed, non-serially correlated and homoscedastic.
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Author Information
  • Department of Economic and Technological Change, Center for Development Research (ZEF), University of Bonn, Germany

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