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Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa

Received: 19 September 2017     Accepted: 29 September 2017     Published: 3 December 2017
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Abstract

This study examined the influence of access to credit on agriculture production in Sub-Saharan Africa. The nature and availability of panel dataset constrained the study to analyze its aim through a panel co-integration approach. The analysis was carried out for 21 selected African countries, over the period 2000-2014. The findings indicated evidence of long run relationship between agriculture production and total credit. The estimations strongly revealed that total credit to agriculture has a positive and significant influence on the level of agriculture production in the region.

Published in International Journal of Agricultural Economics (Volume 2, Issue 6)
DOI 10.11648/j.ijae.20170206.11
Page(s) 160-164
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), 2017. Published by Science Publishing Group

Keywords

Access to Credit, Agriculture, Panel Co-Integration

References
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    Mustapha Abiodun Akinkunmi. (2017). Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa. International Journal of Agricultural Economics, 2(6), 160-164. https://doi.org/10.11648/j.ijae.20170206.11

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    ACS Style

    Mustapha Abiodun Akinkunmi. Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa. Int. J. Agric. Econ. 2017, 2(6), 160-164. doi: 10.11648/j.ijae.20170206.11

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    AMA Style

    Mustapha Abiodun Akinkunmi. Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa. Int J Agric Econ. 2017;2(6):160-164. doi: 10.11648/j.ijae.20170206.11

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  • @article{10.11648/j.ijae.20170206.11,
      author = {Mustapha Abiodun Akinkunmi},
      title = {Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa},
      journal = {International Journal of Agricultural Economics},
      volume = {2},
      number = {6},
      pages = {160-164},
      doi = {10.11648/j.ijae.20170206.11},
      url = {https://doi.org/10.11648/j.ijae.20170206.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20170206.11},
      abstract = {This study examined the influence of access to credit on agriculture production in Sub-Saharan Africa. The nature and availability of panel dataset constrained the study to analyze its aim through a panel co-integration approach. The analysis was carried out for 21 selected African countries, over the period 2000-2014. The findings indicated evidence of long run relationship between agriculture production and total credit. The estimations strongly revealed that total credit to agriculture has a positive and significant influence on the level of agriculture production in the region.},
     year = {2017}
    }
    

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    T1  - Analysis of Access to Credit and Agriculture Performance in Sub-Saharan Africa
    AU  - Mustapha Abiodun Akinkunmi
    Y1  - 2017/12/03
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijae.20170206.11
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    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
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    PB  - Science Publishing Group
    SN  - 2575-3843
    UR  - https://doi.org/10.11648/j.ijae.20170206.11
    AB  - This study examined the influence of access to credit on agriculture production in Sub-Saharan Africa. The nature and availability of panel dataset constrained the study to analyze its aim through a panel co-integration approach. The analysis was carried out for 21 selected African countries, over the period 2000-2014. The findings indicated evidence of long run relationship between agriculture production and total credit. The estimations strongly revealed that total credit to agriculture has a positive and significant influence on the level of agriculture production in the region.
    VL  - 2
    IS  - 6
    ER  - 

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