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

Abdoulaye Maiga; Moussa Bathily; Amadou Bamba; Issoufou Soumaïla Mouleye; Mamadou Traoré; Djimé Silamakan Diawara

doi:doi:10.11648/j.ijber.20221103.19

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

Abdoulaye Maiga, Moussa Bathily, Amadou Bamba, Issoufou Soumaïla Mouleye, Mamadou Traoré, Djimé Silamakan Diawara

Published in International Journal of Business and Economics Research (Volume 11, Issue 3)

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), 2024. Published by Science Publishing Group

Keywords

Climate Change, Agricultural Income, ARDL, Mali

References

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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

Abdoulaye Maiga

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

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

Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali
Issoufou Soumaïla Mouleye
Mamadou Traoré

Agricultural Economics Department, University of Social Sciences and Management of Bamako, Bamako, Mali
Djimé Silamakan Diawara

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

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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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