Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models

Fatou Jobarteh; Majige Selemani

doi:doi:10.11648/j.ijae.20200504.17

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Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models

Fatou Jobarteh, Majige Selemani

Published in International Journal of Agricultural Economics (Volume 5, Issue 4)

Received: 1 July 2020 Accepted: 21 July 2020 Published: 19 August 2020

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Abstract

The study aimed to assess the contribution of agriculture sub-sectors on the economic growth of The Gambia. The study used time series data obtained from The Gambia Bureau of Statistics for the period from 2004 to 2016. Variables included: Economic growth, Crops, Livestock, Fisheries and Forestry. Denton’s method of disaggregation was used to convert annual data into quarterly series. Auto Regressive Distributed Lag model of the co-integrating vector was re-parameterized into Error Correction Model and used to assess the effect of the study variables to the economic growth. The results reveal that crops and fisheries sub-sectors have strong positive effect on economic growth in the long-run while crops and livestock sub-sector have positive effect in the short run to economic growth in first lag. The study concludes that agriculture sub-sectors influence economic growth in The Gambia. Therefore, the study recommends that massive attention and investments be directed to the agriculture sector for more economic expansion.

Published in	International Journal of Agricultural Economics (Volume 5, Issue 4)
DOI	10.11648/j.ijae.20200504.17
Page(s)	142-149
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), 2020. Published by Science Publishing Group

Keywords

Auto Regressive Distributed Lag Model, Economic Growth, Agriculture Sub-sectors

References

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[19]	Raza S. A & Yasir A. F. M. (2010). Role of Agriculture in Economic Growth of Pakistan. Int. Res. J. Financ. Econ.
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Fatou Jobarteh, Majige Selemani. (2020). Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models. International Journal of Agricultural Economics, 5(4), 142-149. https://doi.org/10.11648/j.ijae.20200504.17

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ACS Style

Fatou Jobarteh; Majige Selemani. Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models. Int. J. Agric. Econ. 2020, 5(4), 142-149. doi: 10.11648/j.ijae.20200504.17

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AMA Style

Fatou Jobarteh, Majige Selemani. Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models. Int J Agric Econ. 2020;5(4):142-149. doi: 10.11648/j.ijae.20200504.17

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@article{10.11648/j.ijae.20200504.17,
  author = {Fatou Jobarteh and Majige Selemani},
  title = {Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models},
  journal = {International Journal of Agricultural Economics},
  volume = {5},
  number = {4},
  pages = {142-149},
  doi = {10.11648/j.ijae.20200504.17},
  url = {https://doi.org/10.11648/j.ijae.20200504.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200504.17},
  abstract = {The study aimed to assess the contribution of agriculture sub-sectors on the economic growth of The Gambia. The study used time series data obtained from The Gambia Bureau of Statistics for the period from 2004 to 2016. Variables included: Economic growth, Crops, Livestock, Fisheries and Forestry. Denton’s method of disaggregation was used to convert annual data into quarterly series. Auto Regressive Distributed Lag model of the co-integrating vector was re-parameterized into Error Correction Model and used to assess the effect of the study variables to the economic growth. The results reveal that crops and fisheries sub-sectors have strong positive effect on economic growth in the long-run while crops and livestock sub-sector have positive effect in the short run to economic growth in first lag. The study concludes that agriculture sub-sectors influence economic growth in The Gambia. Therefore, the study recommends that massive attention and investments be directed to the agriculture sector for more economic expansion.},
 year = {2020}
}

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TY  - JOUR
T1  - Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models
AU  - Fatou Jobarteh
AU  - Majige Selemani
Y1  - 2020/08/19
PY  - 2020
N1  - https://doi.org/10.11648/j.ijae.20200504.17
DO  - 10.11648/j.ijae.20200504.17
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 142
EP  - 149
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20200504.17
AB  - The study aimed to assess the contribution of agriculture sub-sectors on the economic growth of The Gambia. The study used time series data obtained from The Gambia Bureau of Statistics for the period from 2004 to 2016. Variables included: Economic growth, Crops, Livestock, Fisheries and Forestry. Denton’s method of disaggregation was used to convert annual data into quarterly series. Auto Regressive Distributed Lag model of the co-integrating vector was re-parameterized into Error Correction Model and used to assess the effect of the study variables to the economic growth. The results reveal that crops and fisheries sub-sectors have strong positive effect on economic growth in the long-run while crops and livestock sub-sector have positive effect in the short run to economic growth in first lag. The study concludes that agriculture sub-sectors influence economic growth in The Gambia. Therefore, the study recommends that massive attention and investments be directed to the agriculture sector for more economic expansion.
VL  - 5
IS  - 4
ER  -

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Author Information

Fatou Jobarteh

The Gambia National Bureau of Statistics, Kanifing Institutional Layout, Greater Banjul, The Gambia
Majige Selemani

Department of Research, Bank of Tanzania, Dar es Salaam, Tanzania

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APA Style

Fatou Jobarteh, Majige Selemani. (2020). Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models. International Journal of Agricultural Economics, 5(4), 142-149. https://doi.org/10.11648/j.ijae.20200504.17

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ACS Style

Fatou Jobarteh; Majige Selemani. Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models. Int. J. Agric. Econ. 2020, 5(4), 142-149. doi: 10.11648/j.ijae.20200504.17

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AMA Style

Fatou Jobarteh, Majige Selemani. Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models. Int J Agric Econ. 2020;5(4):142-149. doi: 10.11648/j.ijae.20200504.17

Copy | Download

@article{10.11648/j.ijae.20200504.17,
  author = {Fatou Jobarteh and Majige Selemani},
  title = {Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models},
  journal = {International Journal of Agricultural Economics},
  volume = {5},
  number = {4},
  pages = {142-149},
  doi = {10.11648/j.ijae.20200504.17},
  url = {https://doi.org/10.11648/j.ijae.20200504.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200504.17},
  abstract = {The study aimed to assess the contribution of agriculture sub-sectors on the economic growth of The Gambia. The study used time series data obtained from The Gambia Bureau of Statistics for the period from 2004 to 2016. Variables included: Economic growth, Crops, Livestock, Fisheries and Forestry. Denton’s method of disaggregation was used to convert annual data into quarterly series. Auto Regressive Distributed Lag model of the co-integrating vector was re-parameterized into Error Correction Model and used to assess the effect of the study variables to the economic growth. The results reveal that crops and fisheries sub-sectors have strong positive effect on economic growth in the long-run while crops and livestock sub-sector have positive effect in the short run to economic growth in first lag. The study concludes that agriculture sub-sectors influence economic growth in The Gambia. Therefore, the study recommends that massive attention and investments be directed to the agriculture sector for more economic expansion.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Assessing the Effect of Agriculture Sub-sectors on the Gambia’s Economic Growth Using Time Series Econometric Models
AU  - Fatou Jobarteh
AU  - Majige Selemani
Y1  - 2020/08/19
PY  - 2020
N1  - https://doi.org/10.11648/j.ijae.20200504.17
DO  - 10.11648/j.ijae.20200504.17
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 142
EP  - 149
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20200504.17
AB  - The study aimed to assess the contribution of agriculture sub-sectors on the economic growth of The Gambia. The study used time series data obtained from The Gambia Bureau of Statistics for the period from 2004 to 2016. Variables included: Economic growth, Crops, Livestock, Fisheries and Forestry. Denton’s method of disaggregation was used to convert annual data into quarterly series. Auto Regressive Distributed Lag model of the co-integrating vector was re-parameterized into Error Correction Model and used to assess the effect of the study variables to the economic growth. The results reveal that crops and fisheries sub-sectors have strong positive effect on economic growth in the long-run while crops and livestock sub-sector have positive effect in the short run to economic growth in first lag. The study concludes that agriculture sub-sectors influence economic growth in The Gambia. Therefore, the study recommends that massive attention and investments be directed to the agriculture sector for more economic expansion.
VL  - 5
IS  - 4
ER  -

Copy | Download