Abigail Jirgi | FEDERAL UNIVERSITY OF TECHNOLOGY, MINNA-NIGERIA (original) (raw)
Papers by Abigail Jirgi
• Associate Prof. B. Grové, my co-promoter, for his valuable inputs throughout the study, especia... more • Associate Prof. B. Grové, my co-promoter, for his valuable inputs throughout the study, especially on the models used for the study. • Dr H. Jordaan, my second co-promoter, for his useful comments, assistance and guidance. • My external co-promoter, Associate Professor J.N. Nmadu, for his contribution during the data collection in Nigeria and his valuable comments throughout the study. • Dr G. Kundhlande, for his interest and comments at the outset of the study. • The chairperson of the Department of Agricultural Economics, Prof. J. Willemse, and all the academic and non-academic staff of the Department, for providing a conducive environment for learning. • The Education Trust Fund of Nigeria, for providing the fellowship award for my Doctoral degree, and The Federal University of Technology (FUT), Minna, for approving my study fellowship.
British Journal of Economics, Management & Trade, 2012
Aims: To ascertain the risk status of farming households and whether the risk status is accentuat... more Aims: To ascertain the risk status of farming households and whether the risk status is accentuated by some factors. The specific objective is to determine the relationship between their risk status and socioeconomic characteristics and food security status in the study area.
British Journal of Economics, Management & Trade, 2012
Aims: To ascertain the risk status of farming households and whether the risk status is accentuat... more Aims: To ascertain the risk status of farming households and whether the risk status is accentuated by some factors. The specific objective is to determine the relationship between their risk status and socioeconomic characteristics and food security status in the study area.
Employing the Computable General Equilibrium (CGE) static model, four economic impact simulations... more Employing the Computable General Equilibrium (CGE) static model, four economic impact simulations were undertaken, covering current situation and expected standards. These covers crop-based productivity of 4.75% and 20%; government spending of 2% and 10% to represent current and best practices under each scenario. While the study noted that agricultural expenditure and crop productivities were below par compared to best practices, it established that enhanced total factor productivity for crop sub-sector and government expenditure impacted differently on various economic indicators. Export was the key beneficiary with significant impact of 39.7% and 46.4% under the total factor productivity and government spending respectively, while prices were dampened with - 3.1% and -3.2% under both parameters respectively. Except for exchange rates and output prices which depreciated, other economic parameters appreciated. Looking beyond Vision 2020 therefore and towards meeting the continental agenda for 2025 and 2063, there is the need to enhance investments into the agriculture sector, through targeted innovative agribusiness financing and investments to complement budgetary sources. It also becomes imperative to enhance total factor productivity in the agriculture sector through technology driven, sustainably and affordable practices. It is also imperative to exploit the synergy among country visions, regional and continental agenda on agriculture investments and productivity enhancement, with the view to effectively harmonizing development efforts within the African continent, towards ensuring that the21st Century is African Century
This study was carried out to analyse the economics of cassava processing under value chain devel... more This study was carried out to analyse the economics of cassava processing under value chain development program in Wushishi Local Government area of Niger State, Nigeria. The research described the socio-economic characteristics of the cassava processors, identified methods used by the cassava processors, estimated the cost and returns to cassava processing as well as analysed the determinants of income of cassava processors. The study utilized multistage sampling technique in selecting 100 processors from the study area. Data were obtained through the use of structured questionnaire and interview schedule. The data were analysed using descriptive statistics, farm budgeting technique and regression model. The farm budgeting analysis revealed that cassava processing into garri was profitable with a net income of ₦103,485.33. Labour intensity, high cost of cassava tubers and time consumption were the major constraints faced by the farmers. The regression analysis showed that 67% of th...
The study assessed the determinants of efficiency of poultry egg production in Ogori-Magongo Loca... more The study assessed the determinants of efficiency of poultry egg production in Ogori-Magongo Local Government Area of Kogi state. Data was collected through a multi-stage sampling technique and analysed using both descriptive and stochastic production frontier. The results revealed that feed intake and utility were the most important inputs in poultry egg production in the area. Furthermore, the study found the average efficiency estimate to be 88.77% and this was influenced positively by education, access to credit and experience. However, about 11.23% of the profit was lost to technical inefficiency. Findings from the study also showed that farmers were operating in stage one of production at 1.02, which is the area of increasing returns to scale. The study thus recommends that efforts should be made at ensuring the poultry farmers have access to credit and educational programmes should be organized to sensitize farmers more on how to improve on their efficiency level. It is also ...
This study was conducted in Niger state Nigeria to determine the effect of Fadama III AF developm... more This study was conducted in Niger state Nigeria to determine the effect of Fadama III AF development programme on women and youth sorghum farmers. A Multi-stage sampling technique was adopted for the sampling procedure. Two local government areas were selected and four villages were randomly selected from both local governments. A total of 78 respondents which included women and youths were selected from the villages which brought the total of the respondents to be 156. Structured questionnaire was used to elicit information from the respondents. The data collected were analyzed through the use of descriptive and inferential statistics such as frequency, percentage, mean, propensity score matching analyzed the effect of Fadama III AF programme on the income, labor, output and area of land cultivated. The ordinary least square regression model was used to analyse the determinants of the income of the beneficiaries and non-beneficiaries. The study revealed that the average income, output and labour used of the beneficiaries increased after the participation of the development program depicting a positive impact on the beneficiaries. The study revealed that the mean age of the beneficiaries and non- beneficiaries were 34years and 37years respectively. The majority of the beneficiaries were females 62.80% and males 37.20% for the non- beneficiaries. The OLS estimates indicated that quantity of seeds at 1%, labour at 5%, farming experience at 5%, number of adopted technologies at 10% and transportation at 1% level of significance respectively were the determinants of income for the beneficiaries while price of sorghum at 1%, farm size at 1% and farming experience at 10% level of significance respectively were the determinants of income for the non- beneficiaries. Therefore it was recommended that the Federal Government, ADP's, nongovernmental agency and financing institutions (World Bank) ensure the continuation of the programme and extension to the non-beneficiaries in order to improve the standard of living in the r [...]
This study was carried out to analyse the economics of cassava processing under value chain devel... more This study was carried out to analyse the economics of cassava processing under value chain development program in Wushishi Local Government area of Niger State, Nigeria. The research described the socioeconomic characteristics of the cassava processors, identified methods used by the cassava processors, estimated the cost and returns to cassava processing as well as analysed the determinants of income of cassava processors. The study utilized multistage sampling technique in selecting 100 processors from the study area. Data were obtained through the use of structured questionnaire and interview schedule. The data were analysed using descriptive statistics, farm budgeting technique and regression model. The farm budgeting analysis revealed that cassava processing into garri was profitable with a net income of ₦103,485.33. Labour intensity, high cost of cassava tubers and time consumption were the major constraints faced by the farmers. The regression analysis showed that 67% of the variation of the output was explained by the variables included in the model. Age (p<0.05), processing experience (p<0.01), transportation cost (p<0.05), storage cost (p<0.01) and packaging cost (p<0.01) were significant factors that influenced the income of cassava farmers under VCDP in the study area.The study recommendsthat the VCDP/Government should introduce innovative equipment that will reduce the stress in processing and ensure timeliness in processing operations.
The study employed a Ricardian Model to measure the impact of climate change on soybean productio... more The study employed a Ricardian Model to measure the impact of climate change on soybean production in Lapai local government area of Niger state. The study utilized time series data on climatic variables for the period 1980-2012 and primary data on socioeconomic background, production cost, yield and prices of output from 80 randomly selected farmers. Results showed that rainfall and humidity statistically affected the net revenue of soybeans at 10% and 5% levels of significance. Rainfall had a negative coefficient of-68399.5 implying that as rainfall increases, output of soybeans decreases and subsequently the net revenue reduces. The interaction variable between rainfall and temperature and humidity and temperature were significant at 1% and 5% respectively. This suggests that the interaction effects of rainfall and temperature and humidity and temperature had significant effect on the net revenue of the soybean farmers in the study area.
• Associate Prof. B. Grové, my co-promoter, for his valuable inputs throughout the study, especia... more • Associate Prof. B. Grové, my co-promoter, for his valuable inputs throughout the study, especially on the models used for the study. • Dr H. Jordaan, my second co-promoter, for his useful comments, assistance and guidance. • My external co-promoter, Associate Professor J.N. Nmadu, for his contribution during the data collection in Nigeria and his valuable comments throughout the study. • Dr G. Kundhlande, for his interest and comments at the outset of the study. • The chairperson of the Department of Agricultural Economics, Prof. J. Willemse, and all the academic and non-academic staff of the Department, for providing a conducive environment for learning. • The Education Trust Fund of Nigeria, for providing the fellowship award for my Doctoral degree, and The Federal University of Technology (FUT), Minna, for approving my study fellowship.
British Journal of Economics, Management & Trade, 2012
Aims: To ascertain the risk status of farming households and whether the risk status is accentuat... more Aims: To ascertain the risk status of farming households and whether the risk status is accentuated by some factors. The specific objective is to determine the relationship between their risk status and socioeconomic characteristics and food security status in the study area.
British Journal of Economics, Management & Trade, 2012
Aims: To ascertain the risk status of farming households and whether the risk status is accentuat... more Aims: To ascertain the risk status of farming households and whether the risk status is accentuated by some factors. The specific objective is to determine the relationship between their risk status and socioeconomic characteristics and food security status in the study area.
Employing the Computable General Equilibrium (CGE) static model, four economic impact simulations... more Employing the Computable General Equilibrium (CGE) static model, four economic impact simulations were undertaken, covering current situation and expected standards. These covers crop-based productivity of 4.75% and 20%; government spending of 2% and 10% to represent current and best practices under each scenario. While the study noted that agricultural expenditure and crop productivities were below par compared to best practices, it established that enhanced total factor productivity for crop sub-sector and government expenditure impacted differently on various economic indicators. Export was the key beneficiary with significant impact of 39.7% and 46.4% under the total factor productivity and government spending respectively, while prices were dampened with - 3.1% and -3.2% under both parameters respectively. Except for exchange rates and output prices which depreciated, other economic parameters appreciated. Looking beyond Vision 2020 therefore and towards meeting the continental agenda for 2025 and 2063, there is the need to enhance investments into the agriculture sector, through targeted innovative agribusiness financing and investments to complement budgetary sources. It also becomes imperative to enhance total factor productivity in the agriculture sector through technology driven, sustainably and affordable practices. It is also imperative to exploit the synergy among country visions, regional and continental agenda on agriculture investments and productivity enhancement, with the view to effectively harmonizing development efforts within the African continent, towards ensuring that the21st Century is African Century
This study was carried out to analyse the economics of cassava processing under value chain devel... more This study was carried out to analyse the economics of cassava processing under value chain development program in Wushishi Local Government area of Niger State, Nigeria. The research described the socio-economic characteristics of the cassava processors, identified methods used by the cassava processors, estimated the cost and returns to cassava processing as well as analysed the determinants of income of cassava processors. The study utilized multistage sampling technique in selecting 100 processors from the study area. Data were obtained through the use of structured questionnaire and interview schedule. The data were analysed using descriptive statistics, farm budgeting technique and regression model. The farm budgeting analysis revealed that cassava processing into garri was profitable with a net income of ₦103,485.33. Labour intensity, high cost of cassava tubers and time consumption were the major constraints faced by the farmers. The regression analysis showed that 67% of th...
The study assessed the determinants of efficiency of poultry egg production in Ogori-Magongo Loca... more The study assessed the determinants of efficiency of poultry egg production in Ogori-Magongo Local Government Area of Kogi state. Data was collected through a multi-stage sampling technique and analysed using both descriptive and stochastic production frontier. The results revealed that feed intake and utility were the most important inputs in poultry egg production in the area. Furthermore, the study found the average efficiency estimate to be 88.77% and this was influenced positively by education, access to credit and experience. However, about 11.23% of the profit was lost to technical inefficiency. Findings from the study also showed that farmers were operating in stage one of production at 1.02, which is the area of increasing returns to scale. The study thus recommends that efforts should be made at ensuring the poultry farmers have access to credit and educational programmes should be organized to sensitize farmers more on how to improve on their efficiency level. It is also ...
This study was conducted in Niger state Nigeria to determine the effect of Fadama III AF developm... more This study was conducted in Niger state Nigeria to determine the effect of Fadama III AF development programme on women and youth sorghum farmers. A Multi-stage sampling technique was adopted for the sampling procedure. Two local government areas were selected and four villages were randomly selected from both local governments. A total of 78 respondents which included women and youths were selected from the villages which brought the total of the respondents to be 156. Structured questionnaire was used to elicit information from the respondents. The data collected were analyzed through the use of descriptive and inferential statistics such as frequency, percentage, mean, propensity score matching analyzed the effect of Fadama III AF programme on the income, labor, output and area of land cultivated. The ordinary least square regression model was used to analyse the determinants of the income of the beneficiaries and non-beneficiaries. The study revealed that the average income, output and labour used of the beneficiaries increased after the participation of the development program depicting a positive impact on the beneficiaries. The study revealed that the mean age of the beneficiaries and non- beneficiaries were 34years and 37years respectively. The majority of the beneficiaries were females 62.80% and males 37.20% for the non- beneficiaries. The OLS estimates indicated that quantity of seeds at 1%, labour at 5%, farming experience at 5%, number of adopted technologies at 10% and transportation at 1% level of significance respectively were the determinants of income for the beneficiaries while price of sorghum at 1%, farm size at 1% and farming experience at 10% level of significance respectively were the determinants of income for the non- beneficiaries. Therefore it was recommended that the Federal Government, ADP's, nongovernmental agency and financing institutions (World Bank) ensure the continuation of the programme and extension to the non-beneficiaries in order to improve the standard of living in the r [...]
This study was carried out to analyse the economics of cassava processing under value chain devel... more This study was carried out to analyse the economics of cassava processing under value chain development program in Wushishi Local Government area of Niger State, Nigeria. The research described the socioeconomic characteristics of the cassava processors, identified methods used by the cassava processors, estimated the cost and returns to cassava processing as well as analysed the determinants of income of cassava processors. The study utilized multistage sampling technique in selecting 100 processors from the study area. Data were obtained through the use of structured questionnaire and interview schedule. The data were analysed using descriptive statistics, farm budgeting technique and regression model. The farm budgeting analysis revealed that cassava processing into garri was profitable with a net income of ₦103,485.33. Labour intensity, high cost of cassava tubers and time consumption were the major constraints faced by the farmers. The regression analysis showed that 67% of the variation of the output was explained by the variables included in the model. Age (p<0.05), processing experience (p<0.01), transportation cost (p<0.05), storage cost (p<0.01) and packaging cost (p<0.01) were significant factors that influenced the income of cassava farmers under VCDP in the study area.The study recommendsthat the VCDP/Government should introduce innovative equipment that will reduce the stress in processing and ensure timeliness in processing operations.
The study employed a Ricardian Model to measure the impact of climate change on soybean productio... more The study employed a Ricardian Model to measure the impact of climate change on soybean production in Lapai local government area of Niger state. The study utilized time series data on climatic variables for the period 1980-2012 and primary data on socioeconomic background, production cost, yield and prices of output from 80 randomly selected farmers. Results showed that rainfall and humidity statistically affected the net revenue of soybeans at 10% and 5% levels of significance. Rainfall had a negative coefficient of-68399.5 implying that as rainfall increases, output of soybeans decreases and subsequently the net revenue reduces. The interaction variable between rainfall and temperature and humidity and temperature were significant at 1% and 5% respectively. This suggests that the interaction effects of rainfall and temperature and humidity and temperature had significant effect on the net revenue of the soybean farmers in the study area.