The political economy of income diversification and food security in Northern Ghana

Despite the clear synergy between food security and politics, economic policy frameworks have not given adequate attention to the political economy of income diversification as a means of improving food security. To determine the drivers of rural income diversification for enhancing food security in...

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Main Authors: Gamel Abdul-Nasser Salifu, Zubeiru Salifu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Food & Agriculture
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Online Access:https://www.tandfonline.com/doi/10.1080/23311932.2024.2325205
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author Gamel Abdul-Nasser Salifu
Zubeiru Salifu
author_facet Gamel Abdul-Nasser Salifu
Zubeiru Salifu
author_sort Gamel Abdul-Nasser Salifu
collection DOAJ
description Despite the clear synergy between food security and politics, economic policy frameworks have not given adequate attention to the political economy of income diversification as a means of improving food security. To determine the drivers of rural income diversification for enhancing food security in Ghana, the study analyzed the income diversification activities of 500 rural households using cross-sectional data. Results from the Count index, Simpson’s diversification index (SDI), Tobit, Poisson and multiple linear regression, revealed that the long-term income diversification measure proxied by the Number of Economic Activities (NEA), undertaken by rural households ranged from 1 to 10. Moreover, using the short-term income diversification measure, the Simpson diversification index, averaged 79.6% with a range of 41% to 89%. The findings suggest that the average NEA required to improve food security in Northern region was 7. Although total expenditure on food increased with increasing SDIs, diversification beyond 89% led to a decline in food security. The relationship between income diversification and the age of respondents also resembled a U-shaped curve implying that age impacts negatively on income diversification opportunities in the initial stages. A possible explanation is that people below a certain age are predominately dependent on relatives for their economic livelihoods. However, once they reached a certain age or turning point, there was increasing income diversification. Technical education was found to be the most important variable affecting the Simpson Index with a standardised parameter value of 1.171, which was three times more influential in diversification than its nearest rival variable, formal education (0.330).
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spelling doaj-art-0835de8d343b4e6a84bc097a1a0b0c262024-12-13T09:52:51ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322024-12-0110110.1080/23311932.2024.2325205The political economy of income diversification and food security in Northern GhanaGamel Abdul-Nasser Salifu0Zubeiru Salifu1Department of Economics and Applied Mathematics, School of Technology and Social Sciences (SOTSS), Ghana Institute of Management and Public Administration (GIMPA), Accra, GhanaDepartment of Finance, University of Ghana Business School, Accra, GhanaDespite the clear synergy between food security and politics, economic policy frameworks have not given adequate attention to the political economy of income diversification as a means of improving food security. To determine the drivers of rural income diversification for enhancing food security in Ghana, the study analyzed the income diversification activities of 500 rural households using cross-sectional data. Results from the Count index, Simpson’s diversification index (SDI), Tobit, Poisson and multiple linear regression, revealed that the long-term income diversification measure proxied by the Number of Economic Activities (NEA), undertaken by rural households ranged from 1 to 10. Moreover, using the short-term income diversification measure, the Simpson diversification index, averaged 79.6% with a range of 41% to 89%. The findings suggest that the average NEA required to improve food security in Northern region was 7. Although total expenditure on food increased with increasing SDIs, diversification beyond 89% led to a decline in food security. The relationship between income diversification and the age of respondents also resembled a U-shaped curve implying that age impacts negatively on income diversification opportunities in the initial stages. A possible explanation is that people below a certain age are predominately dependent on relatives for their economic livelihoods. However, once they reached a certain age or turning point, there was increasing income diversification. Technical education was found to be the most important variable affecting the Simpson Index with a standardised parameter value of 1.171, which was three times more influential in diversification than its nearest rival variable, formal education (0.330).https://www.tandfonline.com/doi/10.1080/23311932.2024.2325205Political Economy of Food SecurityFinanceIncome DiversificationTobit and Poisson Regression ModelsSimpson Diversification Index Ghana
spellingShingle Gamel Abdul-Nasser Salifu
Zubeiru Salifu
The political economy of income diversification and food security in Northern Ghana
Cogent Food & Agriculture
Political Economy of Food Security
Finance
Income Diversification
Tobit and Poisson Regression Models
Simpson Diversification Index
 Ghana
title The political economy of income diversification and food security in Northern Ghana
title_full The political economy of income diversification and food security in Northern Ghana
title_fullStr The political economy of income diversification and food security in Northern Ghana
title_full_unstemmed The political economy of income diversification and food security in Northern Ghana
title_short The political economy of income diversification and food security in Northern Ghana
title_sort political economy of income diversification and food security in northern ghana
topic Political Economy of Food Security
Finance
Income Diversification
Tobit and Poisson Regression Models
Simpson Diversification Index
 Ghana
url https://www.tandfonline.com/doi/10.1080/23311932.2024.2325205
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