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1 Zereyesus, Y. A.; Embaye, W. T.; Tsiboe, F.; Amanor-Boadu, V.. 2017. Implications of non-farm work to vulnerability to food poverty-recent evidence from northern Ghana. World Development, 91:113-124. [doi: https://doi.org/10.1016/j.worlddev.2016.10.015]
Food security ; Nonfarm income ; Food consumption ; Household expenditure ; Forecasting ; Non-farm employment ; Participation ; Food insecurity ; Poverty ; Hunger ; Public health ; Socioeconomic environment ; Linear models ; Regression analysis / Ghana / Brong Ahafo Region / Northern Region / Upper East Region / Upper West Region
(Location: IWMI HQ Call no: e-copy only Record No: H048046)
http://www.sciencedirect.com/science/article/pii/S0305750X16305174/pdfft?md5=da180e20bb4e04280feb14bdeb445e03&pid=1-s2.0-S0305750X16305174-main.pdf
https://vlibrary.iwmi.org/pdf/H048046.pdf
https://vlibrary.iwmi.org/pdf/H048046.pdf
(0.33 MB) (340 KB)
Using survey data from northern Ghana, this study seeks to establish the impact of participation in non-farm work on the vulnerability of resource poor households to food poverty. Vulnerability to food poverty is assessed based on expected future food expenditure of households. The potential endogeneity problem associated with participation in non-farm work by households is overcome using a novel instrumental variable approach. Analysis of the determinants of expected future food expenditure is done using a standard Feasible Generalized Least Squares (FGLS) method. Demographic and socioeconomic variables, location variables, and household facilities are included in the model as control variables. Our study finds that participation in non-farm work significantly increased the future expected food consumption, thereby alleviating the vulnerability of households to food poverty. Our study also confirms that current food poverty and future food poverty, i.e., vulnerability to food poverty, are not independent from each other. Non-farm work plays a crucial role in providing the means to overcome the risk of food poverty in these resource poor households. Policies that promote off-farm income generating activities, such as small businesses and self-employment, as well as the creation and support of businesses that absorb extra labor from the farm, should be encouraged in the study region. Because households in the study region are exposed to above average levels of hunger and food poverty, the study recommends the government of Ghana and development partners to take measures that enhance the resilience of these resource poor households.
2 Phetheet, J.; Hill, M. C.; Barron, R. W.; Gray, B. J.; Wu, H.; Amanor-Boadu, V.; Heger, W.; Kisekka, I.; Golden, B.; Rossi, M. W. 2021. Relating agriculture, energy, and water decisions to farm incomes and climate projections using two freeware programs, FEWCalc and DSSAT. Agricultural Systems, 193:103222. [doi: https://doi.org/10.1016/j.agsy.2021.103222]
Agriculture ; Renewable energy ; Energy generation ; Water use ; Decision support systems ; Farm income ; Climate change ; Forecasting ; Adaptation ; Vulnerability ; Crop production ; Irrigation ; Groundwater ; Crop insurance ; Crop yield ; Stakeholders ; Policies ; Models / USA / Kansas / Finney
(Location: IWMI HQ Call no: e-copy only Record No: H050646)
(9.69 MB)
CONTEXT: The larger scale perspective of Integrated Assessment (IA) and smaller scale perspective of Impacts, Adaptation, and Vulnerability (IAV) need to be bridged to design long-term solutions to agricultural problems that threaten agricultural production, rural economic viability, and global food supplies. FEWCalc (Food-Energy-Water Calculator) is a new freeware, agent-based model with the novel ability to project farm incomes based on crop selection, irrigation practices, groundwater availability, renewable energy investment, and historical and projected environmental conditions. FEWCalc is used to analyze the interrelated food, energy, water, and climate systems of Finney County, Kansas to evaluate consequences of choices currently available to farmers and resource managers.
OBJECTIVE: This article aims to evaluate local farmer choices of crops and renewable energy investment in the face of water resource limitations and global climate change. Metrics of the analysis include agricultural and renewable-energy production, farm income, and water availability and quality. The intended audience includes farmers, resource managers, and scientists focusing on food, energy, and water systems.
METHODS: Data derived from publicly available sources are used to support user-specified FEWCalc input values. DSSAT (Decision Support System for Agrotechnology Transfer) with added arid-region dynamics is used to obtain simulated crop production and irrigation water demand for FEWCalc. Here, FEWCalc is used to simulate agricultural and energy production and farm income based on continuation of recent ranges of crop prices, farm expenses, and crop insurance; continuation of recent renewable-energy economics and government incentives; one of four climate scenarios, including General Circulation Model projections for Representative Concentration Pathway 8.5; and groundwater-supported irrigation and its limitations.
RESULTS AND CONCLUSIONS: A 50-year (2018-2067) climate and groundwater availability projection process indicates possible trends of future crop yield, water utility, and farm income. The simulation during more wet years produces high crop production and slower depletion of groundwater, as expected. However, surprisingly, the simulations suggest that only the Drier Future scenario is commercially profitable, and this is because of reduced expenses for dryland farming. Although simulated income losses due to low crop production are ameliorated by the energy sector income and crop insurance, the simulation under climate change still produces the worst annual total income.
SIGNIFICANCE: FEWCalc addresses scientific, communication, and educational gaps between global- and local-scale FEW research communities and local stakeholders, affected by food, energy, water systems and their interactions by relating near-term choices to near- and long-term consequences. This analysis is needed to craft a more advantageous future.
OBJECTIVE: This article aims to evaluate local farmer choices of crops and renewable energy investment in the face of water resource limitations and global climate change. Metrics of the analysis include agricultural and renewable-energy production, farm income, and water availability and quality. The intended audience includes farmers, resource managers, and scientists focusing on food, energy, and water systems.
METHODS: Data derived from publicly available sources are used to support user-specified FEWCalc input values. DSSAT (Decision Support System for Agrotechnology Transfer) with added arid-region dynamics is used to obtain simulated crop production and irrigation water demand for FEWCalc. Here, FEWCalc is used to simulate agricultural and energy production and farm income based on continuation of recent ranges of crop prices, farm expenses, and crop insurance; continuation of recent renewable-energy economics and government incentives; one of four climate scenarios, including General Circulation Model projections for Representative Concentration Pathway 8.5; and groundwater-supported irrigation and its limitations.
RESULTS AND CONCLUSIONS: A 50-year (2018-2067) climate and groundwater availability projection process indicates possible trends of future crop yield, water utility, and farm income. The simulation during more wet years produces high crop production and slower depletion of groundwater, as expected. However, surprisingly, the simulations suggest that only the Drier Future scenario is commercially profitable, and this is because of reduced expenses for dryland farming. Although simulated income losses due to low crop production are ameliorated by the energy sector income and crop insurance, the simulation under climate change still produces the worst annual total income.
SIGNIFICANCE: FEWCalc addresses scientific, communication, and educational gaps between global- and local-scale FEW research communities and local stakeholders, affected by food, energy, water systems and their interactions by relating near-term choices to near- and long-term consequences. This analysis is needed to craft a more advantageous future.
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