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Analysis of the Effects of Climate Change on the Income of Malian Farmers

Received: 20 May 2022     Accepted: 7 June 2022     Published: 14 June 2022
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Abstract

The objective of this study is to examine the effects of climate change on the agricultural income of Malian producers during the period 1990-2021. Before testing for cointegration between variables, it is important to conduct the unit root test to ensure that no variable is integrated at order 2, i.e. I (2). This is essential because the ARDL procedure assumes that all variables are integrated of order I (0) or I (1). We used the ARDL estimator to analyze the time series data in this study. According to different theories, the variables explaining climate variability negatively affect agricultural production. The results show that climate change negatively influences agricultural income. Specifically, the average rainfall in the months of June-July and August-September are not very detrimental to Malian crops, but in contrast to these effects, the impacts of the quadratic variables, i.e., with a high square (threshold effect), negatively affect farm income. The results of the June-July average temperatures negatively affect income and are in contrast to the threshold effects of those of August-September. This study does not take into account future adaptations that farmers may implement. Thus, the impacts can be mitigated, but for this to happen, it is imperative to strengthen farmers' capacities to adapt to climate change in Mali.

Published in International Journal of Business and Economics Research (Volume 11, Issue 3)
DOI 10.11648/j.ijber.20221103.19
Page(s) 173-179
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), 2022. Published by Science Publishing Group

Keywords

Climate Change, Agricultural Income, ARDL, Mali

References
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Cite This Article
  • APA Style

    Abdoulaye Maiga, Moussa Bathily, Amadou Bamba, Issoufou Soumaïla Mouleye, Mamadou Traoré, et al. (2022). Analysis of the Effects of Climate Change on the Income of Malian Farmers. International Journal of Business and Economics Research, 11(3), 173-179. https://doi.org/10.11648/j.ijber.20221103.19

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    ACS Style

    Abdoulaye Maiga; Moussa Bathily; Amadou Bamba; Issoufou Soumaïla Mouleye; Mamadou Traoré, et al. Analysis of the Effects of Climate Change on the Income of Malian Farmers. Int. J. Bus. Econ. Res. 2022, 11(3), 173-179. doi: 10.11648/j.ijber.20221103.19

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    AMA Style

    Abdoulaye Maiga, Moussa Bathily, Amadou Bamba, Issoufou Soumaïla Mouleye, Mamadou Traoré, et al. Analysis of the Effects of Climate Change on the Income of Malian Farmers. Int J Bus Econ Res. 2022;11(3):173-179. doi: 10.11648/j.ijber.20221103.19

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  • @article{10.11648/j.ijber.20221103.19,
      author = {Abdoulaye Maiga and Moussa Bathily and Amadou Bamba and Issoufou Soumaïla Mouleye and Mamadou Traoré and Djimé Silamakan Diawara},
      title = {Analysis of the Effects of Climate Change on the Income of Malian Farmers},
      journal = {International Journal of Business and Economics Research},
      volume = {11},
      number = {3},
      pages = {173-179},
      doi = {10.11648/j.ijber.20221103.19},
      url = {https://doi.org/10.11648/j.ijber.20221103.19},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20221103.19},
      abstract = {The objective of this study is to examine the effects of climate change on the agricultural income of Malian producers during the period 1990-2021. Before testing for cointegration between variables, it is important to conduct the unit root test to ensure that no variable is integrated at order 2, i.e. I (2). This is essential because the ARDL procedure assumes that all variables are integrated of order I (0) or I (1). We used the ARDL estimator to analyze the time series data in this study. According to different theories, the variables explaining climate variability negatively affect agricultural production. The results show that climate change negatively influences agricultural income. Specifically, the average rainfall in the months of June-July and August-September are not very detrimental to Malian crops, but in contrast to these effects, the impacts of the quadratic variables, i.e., with a high square (threshold effect), negatively affect farm income. The results of the June-July average temperatures negatively affect income and are in contrast to the threshold effects of those of August-September. This study does not take into account future adaptations that farmers may implement. Thus, the impacts can be mitigated, but for this to happen, it is imperative to strengthen farmers' capacities to adapt to climate change in Mali.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Analysis of the Effects of Climate Change on the Income of Malian Farmers
    AU  - Abdoulaye Maiga
    AU  - Moussa Bathily
    AU  - Amadou Bamba
    AU  - Issoufou Soumaïla Mouleye
    AU  - Mamadou Traoré
    AU  - Djimé Silamakan Diawara
    Y1  - 2022/06/14
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijber.20221103.19
    DO  - 10.11648/j.ijber.20221103.19
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 173
    EP  - 179
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20221103.19
    AB  - The objective of this study is to examine the effects of climate change on the agricultural income of Malian producers during the period 1990-2021. Before testing for cointegration between variables, it is important to conduct the unit root test to ensure that no variable is integrated at order 2, i.e. I (2). This is essential because the ARDL procedure assumes that all variables are integrated of order I (0) or I (1). We used the ARDL estimator to analyze the time series data in this study. According to different theories, the variables explaining climate variability negatively affect agricultural production. The results show that climate change negatively influences agricultural income. Specifically, the average rainfall in the months of June-July and August-September are not very detrimental to Malian crops, but in contrast to these effects, the impacts of the quadratic variables, i.e., with a high square (threshold effect), negatively affect farm income. The results of the June-July average temperatures negatively affect income and are in contrast to the threshold effects of those of August-September. This study does not take into account future adaptations that farmers may implement. Thus, the impacts can be mitigated, but for this to happen, it is imperative to strengthen farmers' capacities to adapt to climate change in Mali.
    VL  - 11
    IS  - 3
    ER  - 

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Author Information
  • Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali

  • Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali

  • Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali

  • Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali

  • Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali

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