Abstract:Motivated by the recent global economic crisis, this paper simulated the impact of a rise in the price of imported food on agriculture and household poverty in Nigeria using a computable general equilibrium (CGE) model and the Foster, Greer and Thorbecke (FGT) class of decomposable poverty measures on the 2006 social accounting matrix (SAM) of Nigeria and the updated 2004 Nigeria Living Standards Survey (NLSS) data. Results show that a rise in import price of food increased domestic output of food, but reduced… Show more
“…Based on that, the study merged the two approaches such that a macro-micro modeling framework which specifically integrated twelve household categories into a CGE model was achieved. This is a case of a representative household model approach in general equilibrium analysis of distributional implications of macroeconomic shocks and policies (Cockburn, 2001;Bhasin, 2008;Nkang, 2013).…”
Section: Features Of the Model And Methodologymentioning
confidence: 99%
“…Hence this policy was recommended for adoption in order to increase growth of sectors and minimize welfare losses to households. Nkang et al (2013) assessed the impact of food price shocks due to global economic crisis on agriculture and the poor in Nigeria. The study simulated the impact of a rise in the price of imported food on agriculture and household poverty in using a computable general equilibrium (CGE) model and the Foster, Greer and Thorbecke (FGT) class of decomposable poverty measures on the 2006 social accounting matrix (SAM) for Nigeria and the updated 2004 Nigeria Living Standards Survey (NLSS) data.…”
Against the expected trade liberalization policies as enunciated under the World Trade Organization (WTO) agreement, Nigeria currently uses trade restriction policies through tariffs and quotas to protect local producers and ensure self-sufficiency in staple food especially wheat and fish, which constitute 56% of annual food import. However, the general equilibrium effects of restrictive policy instruments are yet to be fully understood especially for the poor and the vulnerable. Living Standard (HNLSS) survey data for 2009/2010 and the NISER's 2011 Social Accounting Matrix (SAM) were used. An 80% wheat and 50% fish tariff increase as currently implemented in Nigeria were used for the simulations. Data were analyzed using computable general equilibrium (CGE) technique and Vulnerability To Poverty (VTP) measure. Prior to policy simulations, vulnerable rural and urban households in NW had the highest observed poverty (68.2% and 71.2%) while, while the rural and urban households in the south-south zone had the least (53.0% and 45.5%) respectively. The expected poverty was highest in simulation three across vulnerable and non-vulnerable households. Consequently, the ratio of expected to observed poverty indicates that vulnerable rural and urban households have the highest likelihood of sinking deeper into poverty particularly with the combined policies in simulation three. It is therefore recommended that government should strengthen domestic production of food import substitutes backed with strong value addition.
“…Based on that, the study merged the two approaches such that a macro-micro modeling framework which specifically integrated twelve household categories into a CGE model was achieved. This is a case of a representative household model approach in general equilibrium analysis of distributional implications of macroeconomic shocks and policies (Cockburn, 2001;Bhasin, 2008;Nkang, 2013).…”
Section: Features Of the Model And Methodologymentioning
confidence: 99%
“…Hence this policy was recommended for adoption in order to increase growth of sectors and minimize welfare losses to households. Nkang et al (2013) assessed the impact of food price shocks due to global economic crisis on agriculture and the poor in Nigeria. The study simulated the impact of a rise in the price of imported food on agriculture and household poverty in using a computable general equilibrium (CGE) model and the Foster, Greer and Thorbecke (FGT) class of decomposable poverty measures on the 2006 social accounting matrix (SAM) for Nigeria and the updated 2004 Nigeria Living Standards Survey (NLSS) data.…”
Against the expected trade liberalization policies as enunciated under the World Trade Organization (WTO) agreement, Nigeria currently uses trade restriction policies through tariffs and quotas to protect local producers and ensure self-sufficiency in staple food especially wheat and fish, which constitute 56% of annual food import. However, the general equilibrium effects of restrictive policy instruments are yet to be fully understood especially for the poor and the vulnerable. Living Standard (HNLSS) survey data for 2009/2010 and the NISER's 2011 Social Accounting Matrix (SAM) were used. An 80% wheat and 50% fish tariff increase as currently implemented in Nigeria were used for the simulations. Data were analyzed using computable general equilibrium (CGE) technique and Vulnerability To Poverty (VTP) measure. Prior to policy simulations, vulnerable rural and urban households in NW had the highest observed poverty (68.2% and 71.2%) while, while the rural and urban households in the south-south zone had the least (53.0% and 45.5%) respectively. The expected poverty was highest in simulation three across vulnerable and non-vulnerable households. Consequently, the ratio of expected to observed poverty indicates that vulnerable rural and urban households have the highest likelihood of sinking deeper into poverty particularly with the combined policies in simulation three. It is therefore recommended that government should strengthen domestic production of food import substitutes backed with strong value addition.
“…Agriculture creates products that meet the food demands of regional populations and enhances their food security status. Depending on the efficiency of the domestic agricultural sector, it is sometimes better for the food security status of the country to increase imports of certain foods rather than favouring domestic production [24,25]. Overall, very little research has been done relating agriculture and food security in the regional context.…”
Section: Importance Of Agriculture For Regional Economiesmentioning
confidence: 99%
“…This situation is an "exogenous, demand-side shock" and has direct and indirect effects on the regional economy where those AIVs are produced [6,50]. If the demand for a specific product increases and the capacity for production is available, the production of this good will increase [8,24]. Following this concept, the direct effects are the impacts of an increased AIV demand on the AIV-producing sector itself.…”
Kenya ranks among the countries with the highest micronutrient deficiency worldwide. Due to their high micronutrient content, African indigenous vegetables (AIVs) can be a solution to this problem, and urban areas in Kenya have seen a rise in demand for these crops in the previous decade. To fill the gap between supply and demand, programmes to promote AIV production have been implemented in rural and peri-urban areas. However, the effects of increased AIV production on income and food security in the regional economies are not clear. Thus, in this analysis, we first evaluate differences between the livelihoods of household groups with different levels of food security in rural and peri-urban Kenya using a two-step cluster analysis. Then, we generate a regional social accounting matrix (SAM) and calculate the direct and indirect income effects of AIVs and other crops grown in the area using a multiplier analysis. For the analysis, a total of 706 small-scale vegetable producers in four counties in Kenya were interviewed in 2015. Households in rural areas were more food insecure, especially with respect to the utilization and stability dimension of food security. Multiplier analysis showed increased indirect income effects of AIVs in the regional economy compared to those of many cash crops. We suggest further promoting the production of AIVs in rural and peri-urban Kenya.
“…Firstly, given that the complexity and opacity of today's economic events inhibit accurate prediction (Fridgen et al, 2015), suppliers can effectively optimize asset allocation strategies and risk management by understanding the impacts of economic events on the energy and agricultural commodity markets. Secondly, food price shocks precipitate social distress, food security, poverty and inequality (Nkang et al, 2012). This is especially true for agriculture-based economies, where people derive their livelihood from agricultural practices (Nakamya and Romstad, 2020); thus, this study provides policymakers with insights into solutions that might prevent such situations.…”
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