Pub Date : 2020-12-29DOI: 10.17306/j.jard.2020.01340
Lesiba Andries Sekele, J. Mokhaukhau, M. Cholo, A. Mayekiso
Participation in the market of Indigenous Chickens (ICs) enables farmers an opportunity to generate income and alleviate household food insecurity. The objectives of the study were to profile the socioeconomic characteristics of smallholder farmers and; to determine the factors influencing participation of smallholder farmers in the market of ICs. The study employed purposive and snowball sampling techniques to identify 50 indigenous chicken farmers in Makhuduthamaga Local Municipality, South Africa. Descriptive statistics and Binary Logistic regression model were employed to address the objectives of the study. The results revealed that, most smallholder farmers do not participate in the market of ICs. Moreover, experience in rearing chickens, land size, number of chickens owned, and purpose of rearing the chickens were found as factors influencing participation of farmers in the market of ICs. The study also confirmed that female farmers dominate in the market of ICs when compared to males. This, therefore, calls for government intervention in the promotion of ICs markets to encourage participation by farmers thus improving livelihoods.
{"title":"A Binary Logistic Analysis on Factors Affecting the Participation of Smallholder Farmers in the Market of Indigenous Chickens (ICs)","authors":"Lesiba Andries Sekele, J. Mokhaukhau, M. Cholo, A. Mayekiso","doi":"10.17306/j.jard.2020.01340","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01340","url":null,"abstract":"Participation in the market of Indigenous Chickens (ICs) enables farmers an opportunity to generate income and alleviate household food insecurity. The objectives of the study were to profile the socioeconomic characteristics of smallholder farmers and; to determine the factors influencing participation of smallholder farmers in the market of ICs. The study employed purposive and snowball sampling techniques to identify 50 indigenous chicken farmers in Makhuduthamaga Local Municipality, South Africa. Descriptive statistics and Binary Logistic regression model were employed to address the objectives of the study. The results revealed that, most smallholder farmers do not participate in the market of ICs. Moreover, experience in rearing chickens, land size, number of chickens owned, and purpose of rearing the chickens were found as factors influencing participation of farmers in the market of ICs. The study also confirmed that female farmers dominate in the market of ICs when compared to males. This, therefore, calls for government intervention in the promotion of ICs markets to encourage participation by farmers thus improving livelihoods.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45083740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-29DOI: 10.17306/j.jard.2020.01377
K. Aboaba
The future of agriculture is dependent on increase in the use of resources at disposal, it is therefore imperative that strategies to increase agricultural growth should be directed towards increasing efficiency of smallholder farming operations and resource utilization. This study examined the economic efficiency of rice production. Multistage sampling procedure was used to select 240 rice farmers with the aid of a structured questionnaire. Data collected were analyzed with descriptive techniques, Stochastic Frontier Analysis (SFA) and Tobit regression model. The SFA result revealed that input variables such as seed, herbicide and pesticide were positive and had significant effect on rice output. The rice farmers were able to maximize their output by 74% at lowest minimum cost possible. Furthermore, economic efficiency was positively influenced by age, level of education, membership of farmers association, access to public market and access to health facilities while household size, farming experience, bad road condition and distance to nearest market had negative effects. The study concluded that rice farmers were inefficient. Therefore, in order to raise rice production efficiency and improve the livelihood of smallholder farmers, farmers should attend formal and informal education as it is a key policy issue in the study area, farmers should strengthen the existing association structures and organize new farmer’s associations. Also, the local and regional governments were encouraged to provide good road networks, and public market that will enable farmers dispose their produce at attractive places and prices of their choice.
{"title":"Economic Efficiency of Rice Farming:","authors":"K. Aboaba","doi":"10.17306/j.jard.2020.01377","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01377","url":null,"abstract":"The future of agriculture is dependent on increase in the use of resources at disposal, it is therefore imperative that strategies to increase agricultural growth should be directed towards increasing efficiency of smallholder farming operations and resource utilization. This study examined the economic efficiency of rice production. Multistage sampling procedure was used to select 240 rice farmers with the aid of a structured questionnaire. Data collected were analyzed with descriptive techniques, Stochastic Frontier Analysis (SFA) and Tobit regression model. The SFA result revealed that input variables such as seed, herbicide and pesticide were positive and had significant effect on rice output. The rice farmers were able to maximize their output by 74% at lowest minimum cost possible. Furthermore, economic efficiency was positively influenced by age, level of education, membership of farmers association, access to public market and access to health facilities while household size, farming experience, bad road condition and distance to nearest market had negative effects. The study concluded that rice farmers were inefficient. Therefore, in order to raise rice production efficiency and improve the livelihood of smallholder farmers, farmers should attend formal and informal education as it is a key policy issue in the study area, farmers should strengthen the existing association structures and organize new farmer’s associations. Also, the local and regional governments were encouraged to provide good road networks, and public market that will enable farmers dispose their produce at attractive places and prices of their choice.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46738952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-29DOI: 10.17306/j.jard.2020.01350
A. O. Kayode
The use of agro-biodiversity practices are key coping strategies in adapting to climate change. This study determined the level of use of Agro- biodiversity conservation practices, assessed the benefits of the practice and identified constraints to its use. A three- stage sampling technique was used to select 150 respondents on which a structured interview schedule was administered. Descriptive statistics and Pearson’s Product Moment Correlation were used for data analysis. Results shows that the use of animal dungs and plant residues as bio-fertilizers was common biodiversity practice among farmers. 82.5% of the farmers were in the low level of use of these practices. Constraints such as high cost of production lack of awareness of the use of these practices, were major constraints to the use of biodiversity practices. Age, years of schooling years of farming experience were significantly related to level of usage of Agro biodiversity practices. The study concludes that the level of use of Agro biodiversity practices among farmers was low and influenced by socioeconomic characteristics of the farmers. It recommends that government and other stake holders should provide necessary facilities for this practice. Extension agents should also sensitive farmers on the usefulness of Agro-biodiversity.
{"title":"THE USE OF AGRO- BIODIVERSITY CONSERVATION PRACTICES AMONG FARMERS IN NIGER STATE, NIGERIA","authors":"A. O. Kayode","doi":"10.17306/j.jard.2020.01350","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01350","url":null,"abstract":"The use of agro-biodiversity practices are key coping strategies in adapting to climate change. This study determined the level of use of Agro- biodiversity conservation practices, assessed the benefits of the practice and identified constraints to its use. A three- stage sampling technique was used to select 150 respondents on which a structured interview schedule was administered. Descriptive statistics and Pearson’s Product Moment Correlation were used for data analysis. Results shows that the use of animal dungs and plant residues as bio-fertilizers was common biodiversity practice among farmers. 82.5% of the farmers were in the low level of use of these practices. Constraints such as high cost of production lack of awareness of the use of these practices, were major constraints to the use of biodiversity practices. Age, years of schooling years of farming experience were significantly related to level of usage of Agro biodiversity practices. The study concludes that the level of use of Agro biodiversity practices among farmers was low and influenced by socioeconomic characteristics of the farmers. It recommends that government and other stake holders should provide necessary facilities for this practice. Extension agents should also sensitive farmers on the usefulness of Agro-biodiversity. \u0000 ","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43346707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-28DOI: 10.17306/j.jard.2020.01375
S. Salau
Food insecurity is quickly becoming a key topic in economic growth and development. The Nigerian food insecurity situation is deteriorating due to the frequent migration of energetic and able-bodied youth from rural to urban areas. Hence, this study examined the food security status before and after youth migration and assessed the impact of youth migration on farming household food security. A two-stage sampling technique was employed to obtain data from 240 respondents. The data were analysed using descriptive statistics, the food security index and binary logistic regression. The results revealed that most (86.3%) of the respondents were males with an average age of 48.5 years. The reasons behind youth migration are poor roads, the search for white-collar jobs and the laborious nature of farming. Furthermore, the average yield before and after youth migration was 1878.8 kg/ha and 885.9 kg/ha of grain equivalent, respectively. Moreover, 61.7% of households were food-secure while 38.3% were food-insecure before youth migration. Worse still, after youth migration, 70% of the households were food-insecure and 30% were food-secure. The variables determining the food security of a given area were the ratio of rural youth migrants to household size, crop yield difference, level of education, household size, food crop losses, the volumes of cereal, legume, and root and tuber crops consumed and access to remittances. Governments at all levels should provide basic infrastructural facilities in rural areas to encourage youth to stay home. Young people should also be made aware of the negative consequences of migration. Policies aimed at household size reduction should be implemented to increase household food security as well.
{"title":"ASSESSEMENT OF YOUTH MIGRATION AND FOOD SECURITY AMONG FARMING HOUSEHOLDS","authors":"S. Salau","doi":"10.17306/j.jard.2020.01375","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01375","url":null,"abstract":"Food insecurity is quickly becoming a key topic in economic growth and development. The Nigerian food insecurity situation is deteriorating due to the frequent migration of energetic and able-bodied youth from rural to urban areas. Hence, this study examined the food security status before and after youth migration and assessed the impact of youth migration on farming household food security. A two-stage sampling technique was employed to obtain data from 240 respondents. The data were analysed using descriptive statistics, the food security index and binary logistic regression. The results revealed that most (86.3%) of the respondents were males with an average age of 48.5 years. The reasons behind youth migration are poor roads, the search for white-collar jobs and the laborious nature of farming. Furthermore, the average yield before and after youth migration was 1878.8 kg/ha and 885.9 kg/ha of grain equivalent, respectively. Moreover, 61.7% of households were food-secure while 38.3% were food-insecure before youth migration. Worse still, after youth migration, 70% of the households were food-insecure and 30% were food-secure. The variables determining the food security of a given area were the ratio of rural youth migrants to household size, crop yield difference, level of education, household size, food crop losses, the volumes of cereal, legume, and root and tuber crops consumed and access to remittances. Governments at all levels should provide basic infrastructural facilities in rural areas to encourage youth to stay home. Young people should also be made aware of the negative consequences of migration. Policies aimed at household size reduction should be implemented to increase household food security as well.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":"58 1","pages":"351–358-351–358"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48462791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-28DOI: 10.17306/j.jard.2020.01291
T. Thaba, A. Belete, J. Hlongwane, L. Ledwaba
Abstract. The study aims to estimate empirically the relationship between economic growth and unemployment rate in Limpopo Province of South Africa. The analysis used quarterly data covering the period 2008-2018 which was obtained from Statistics South Africa. The study employed, difference model, dynamic model, and granger causality test for data analysis, in order to consider both, short term and long term possible relationship Based on the difference model estimation of the coefficient was done and the coefficient was found to be -0.22. From Granger causality test, causal relationship between these two variables doesn’t exist meaning that change in the growth rate of real GDP doesn’t cause change in the rate of unemployment and vice-versa. Inapplicable of the law indicates that a cyclical recovery will not be accompanied by reduction of unemployment. Furthermore, this might reflect the sizable structural and/or frictional component of unemployment in Limpopo Province. Lastly, the country's economic policies have not been suitable for fostering development that can reduce unemployment and this could be due to lack of appropriate composition of public sector and private sector.
{"title":"Econometric estimation of the relationship between the unemployment rate and economic growth in Limpopo Province, South Africa","authors":"T. Thaba, A. Belete, J. Hlongwane, L. Ledwaba","doi":"10.17306/j.jard.2020.01291","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01291","url":null,"abstract":"Abstract. The study aims to estimate empirically the relationship between economic growth and unemployment rate in Limpopo Province of South Africa. The analysis used quarterly data covering the period 2008-2018 which was obtained from Statistics South Africa. The study employed, difference model, dynamic model, and granger causality test for data analysis, in order to consider both, short term and long term possible relationship Based on the difference model estimation of the coefficient was done and the coefficient was found to be -0.22. From Granger causality test, causal relationship between these two variables doesn’t exist meaning that change in the growth rate of real GDP doesn’t cause change in the rate of unemployment and vice-versa. Inapplicable of the law indicates that a cyclical recovery will not be accompanied by reduction of unemployment. Furthermore, this might reflect the sizable structural and/or frictional component of unemployment in Limpopo Province. Lastly, the country's economic policies have not been suitable for fostering development that can reduce unemployment and this could be due to lack of appropriate composition of public sector and private sector.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48689455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-28DOI: 10.17306/j.jard.2020.01288
Achoja Roland Onomu, M. Aliber, I. Agbugba
Many smallholder farmers, particularly those in developing countries do not practice mechanisation such as the use of tractor due to some plethora of issues among which include: lack of demand, problematic supply model and failed mechanisation programmes. Based on the problems associated with smallholder mechanisation and the roles lack of demand played in past mechanisation programmes, this research investigated the characteristics and the challenges of tractor service providers, as well as the analyses of the current demand trends by the sampled smallholder farmers for tractor services, while forecasting the future demand in Delta and Benue States of Nigeria. The study employed a snowball sampling technique to collect field survey data from 20 private tractor service providers (SMEs) and 6 government tractor service providers in four local government areas of Delta and Benue States. Descriptive statistics, weighted mean score and trend analyses were used to interpret the result. The study finds that tractor services provide employment for rural dweller, particularly male; use less of household labour and the majority of those involved own only a tractor. Among the different challenges such as the inability of smallholders to pay a high price, long distance to get mechanic, and the high cost of maintenance/high cost of the spare part; too few qualified tractor mechanics is ranked the most severe challenge. While both SMEs and government tractor service providers face some common challenges, poor maintenance and corruption predominates government tractor services. There has been a constant increase in the demand for tractor services by the smallholder farmers from 2013 to 2016 and the demand is forecast to continue. Based on the different challenges associated with the provision of tractor services to the smallholder, it was suggested that the government should support market driver tractor service provision
{"title":"TRACTOR SERVICES CHALLENGES AND CURRENT DEMAND TRENDS BY SMALLHOLDER FARMERS IN NIGERIA","authors":"Achoja Roland Onomu, M. Aliber, I. Agbugba","doi":"10.17306/j.jard.2020.01288","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01288","url":null,"abstract":"Many smallholder farmers, particularly those in developing countries do not practice mechanisation such as the use of tractor due to some plethora of issues among which include: lack of demand, problematic supply model and failed mechanisation programmes. Based on the problems associated with smallholder mechanisation and the roles lack of demand played in past mechanisation programmes, this research investigated the characteristics and the challenges of tractor service providers, as well as the analyses of the current demand trends by the sampled smallholder farmers for tractor services, while forecasting the future demand in Delta and Benue States of Nigeria. The study employed a snowball sampling technique to collect field survey data from 20 private tractor service providers (SMEs) and 6 government tractor service providers in four local government areas of Delta and Benue States. Descriptive statistics, weighted mean score and trend analyses were used to interpret the result. The study finds that tractor services provide employment for rural dweller, particularly male; use less of household labour and the majority of those involved own only a tractor. Among the different challenges such as the inability of smallholders to pay a high price, long distance to get mechanic, and the high cost of maintenance/high cost of the spare part; too few qualified tractor mechanics is ranked the most severe challenge. While both SMEs and government tractor service providers face some common challenges, poor maintenance and corruption predominates government tractor services. There has been a constant increase in the demand for tractor services by the smallholder farmers from 2013 to 2016 and the demand is forecast to continue. Based on the different challenges associated with the provision of tractor services to the smallholder, it was suggested that the government should support market driver tractor service provision","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":"58 1","pages":"379–391-379–391"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45231465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-28DOI: 10.17306/j.jard.2020.01357
C. Chagwiza, P. Mapfumo, M. Antwi
Climate change has increased temperature, caused drought in places like North West Province, and reduced crop yield. This study investigated the climate change impact (rainfall) on maize yield (1987 -2017). The objectives were to determine the climate change impact on maize yield for Kwazulu-Natal, North West, and Free State Provinces of South Africa, assess the difference in climate change impact on maize yield between the three provinces. Rainfall and maize data were collected from WeatherSA and DAFF, respectively. A Pearson Correlation Analysis revealed a weak negative correlation between rainfall and maize for KwaZulu-Natal and Free State Provinces. However, for North West Province there was a weak positive correlation between maize yield and rainfall. Rainfall determines yield, if excessive, it becomes detrimental to crop yield. Climate change affected negatively on maize yield, rainfall above maize requirement was not beneficial to crop yield and drought reduced yield too. ANOVA results revealed that the group mean yield between the Provinces was different, with KwaZulu-Natal having the highest mean yield. The climate change impact on maize varied between provinces, KwaZulu-Natal Province was least affected, however, North West Province was the most negatively impacted with drought events leading to reduced maize yield.
{"title":"Impact of Climate Change on Maize Yield","authors":"C. Chagwiza, P. Mapfumo, M. Antwi","doi":"10.17306/j.jard.2020.01357","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01357","url":null,"abstract":"Climate change has increased temperature, caused drought in places like North West Province, and reduced crop yield. This study investigated the climate change impact (rainfall) on maize yield (1987 -2017). The objectives were to determine the climate change impact on maize yield for Kwazulu-Natal, North West, and Free State Provinces of South Africa, assess the difference in climate change impact on maize yield between the three provinces. Rainfall and maize data were collected from WeatherSA and DAFF, respectively. A Pearson Correlation Analysis revealed a weak negative correlation between rainfall and maize for KwaZulu-Natal and Free State Provinces. However, for North West Province there was a weak positive correlation between maize yield and rainfall. Rainfall determines yield, if excessive, it becomes detrimental to crop yield. Climate change affected negatively on maize yield, rainfall above maize requirement was not beneficial to crop yield and drought reduced yield too. ANOVA results revealed that the group mean yield between the Provinces was different, with KwaZulu-Natal having the highest mean yield. The climate change impact on maize varied between provinces, KwaZulu-Natal Province was least affected, however, North West Province was the most negatively impacted with drought events leading to reduced maize yield.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67671411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-08DOI: 10.17306/j.jard.2020.01324
H. I. Opaluwa, G. Opeyemi, Momoh John Eleojo
The study examined factors influencing the choice of climate change adaptation strategies among rural farming households in Lokoja Local Government Area, Kogi State, Nigeria. A total of 115 rural farmers constitute the sample size for this study. Descriptive and relevant inferential statistics such as multivariate probit model were used. The perceived effects of climate change in the study area were erosion/flooding, increase in rainfall, scarce of resources, increase in temperature, and increase in pest and disease infestation. The major adaptation strategies adopted by the farmers in the study area were change in planting date (72.17%), change in harvesting date (67.83%), construction of drainage around homes/farms (67.83%), income diversification (64.35%), and planting cover crops (58.26%). The result of the factors influencing choice of adaptation showed that gender, age, years of farming experience, access to credit, and training on climate change were the factors that influenced the choice of adaptation strategies in the study area. The major constraints to adoption of adaptation strategies in the study area were identified. The study concluded that selected socio-economic characteristics influenced the choice of rural farmers` adaptation strategies utilized in the study area. Government policies should be sensitive to support of trainings on climate change, education, credit access, farm size and household size
{"title":"Determinants of Choice of Climate Change Adaptation Strategies among Rural Farming Households in Lokoja Local Government Area, Kogi State, Nigeria","authors":"H. I. Opaluwa, G. Opeyemi, Momoh John Eleojo","doi":"10.17306/j.jard.2020.01324","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01324","url":null,"abstract":"The study examined factors influencing the choice of climate change adaptation strategies among rural farming households in Lokoja Local Government Area, Kogi State, Nigeria. A total of 115 rural farmers constitute the sample size for this study. Descriptive and relevant inferential statistics such as multivariate probit model were used. The perceived effects of climate change in the study area were erosion/flooding, increase in rainfall, scarce of resources, increase in temperature, and increase in pest and disease infestation. The major adaptation strategies adopted by the farmers in the study area were change in planting date (72.17%), change in harvesting date (67.83%), construction of drainage around homes/farms (67.83%), income diversification (64.35%), and planting cover crops (58.26%). The result of the factors influencing choice of adaptation showed that gender, age, years of farming experience, access to credit, and training on climate change were the factors that influenced the choice of adaptation strategies in the study area. The major constraints to adoption of adaptation strategies in the study area were identified. The study concluded that selected socio-economic characteristics influenced the choice of rural farmers` adaptation strategies utilized in the study area. Government policies should be sensitive to support of trainings on climate change, education, credit access, farm size and household size","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":"62 2","pages":"299–308-299–308"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41304992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-08DOI: 10.17306/j.jard.2020.01337
A. Kehinde, M. Kehinde
This study investigated the impact of credit access and cooperative membership on food security of rural households in Southwestern Nigeria. A multi stage sampling procedure was employed to select 300 rural households for the study. Data were analyzed using food security index, binary logit model, propensity score matching (PSM) and Augmented inverse probability weighting model (AIPW). Binary logit estimate reveals that age, household size, years of education, farm size, farm income and non-farm income significantly influenced the likelihood of rural households being members of cooperatives while household size, years of education, farm size, gender, asset and farm income significantly influenced the likelihood of rural households’ access to credit. Food security index revealed that about 66 percent of the households are food insecure. PSM revealed that cooperative membership and credit access is expected to increase the food security of rural households by approximately 1446 and 1496 kilocalories per person per day, respectively. AIPW revealed that cooperative membership and credit access is expected to increase the food security of rural households by approximately 1888 and 1899 kilocalories per person per day, respectively. The study concluded that credit access and cooperative membership has a positive and significant impact on food security of rural households. Thus, any programmes targeted at ensuring rural households’ food security, particularly southwest should take into cognizance their credit access and cooperative membership.
{"title":"Impact of Credit access and Cooperative membership on Food Security of Rural Households in Southwestern, Nigeria","authors":"A. Kehinde, M. Kehinde","doi":"10.17306/j.jard.2020.01337","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01337","url":null,"abstract":"This study investigated the impact of credit access and cooperative membership on food security of rural households in Southwestern Nigeria. A multi stage sampling procedure was employed to select 300 rural households for the study. Data were analyzed using food security index, binary logit model, propensity score matching (PSM) and Augmented inverse probability weighting model (AIPW). Binary logit estimate reveals that age, household size, years of education, farm size, farm income and non-farm income significantly influenced the likelihood of rural households being members of cooperatives while household size, years of education, farm size, gender, asset and farm income significantly influenced the likelihood of rural households’ access to credit. Food security index revealed that about 66 percent of the households are food insecure. PSM revealed that cooperative membership and credit access is expected to increase the food security of rural households by approximately 1446 and 1496 kilocalories per person per day, respectively. AIPW revealed that cooperative membership and credit access is expected to increase the food security of rural households by approximately 1888 and 1899 kilocalories per person per day, respectively. The study concluded that credit access and cooperative membership has a positive and significant impact on food security of rural households. Thus, any programmes targeted at ensuring rural households’ food security, particularly southwest should take into cognizance their credit access and cooperative membership.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":"57 1","pages":"255–268-255–268"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47813354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-08DOI: 10.17306/j.jard.2020.01314
Liboster Mwadzingeni, R. Mugandani, P. Mafongoya
Smallholder irrigation farming is valuable for improving the welfare of rural communities in South Africa. Irrigation schemes in South Africa perform below average as some collapsed. Boosting performance of irrigation schemes will ensure economic sustainability for low-income earners. There is little scholarly literature on factors affecting performance of smallholder irrigation schemes in South Africa. Therefore, this study assessed factors affecting yield and gross margin of sweet potato in Tshiombo Irrigation Scheme. Data was collected using structured questionnaires, Focus Group Discussions and in-depth interviews. Performance of the irrigation scheme was analysed using Ordinary Least Square. Yield or gross margin of sweet potatoes were used as proxies for scheme performance. Six estimators, namely age of farmers (-0.022), labour availability (-0.185), cultivated area (-0.130), pesticide subsidy (0.138), market price (6.090), and distance of the plot from the main canal (0.191) significantly impacted performance of the scheme. Minimum participation of farmers in value chain exposed then to lower market prices. Gross margin was generally low due to limited participation of aging farmers in the value chain. Performance of the scheme can be improved through providing and ensuring competitive prices and encouraging youth to participate in scheme farming by providing lucrative market prices.
{"title":"Factors affecting the Performance of Tshiombo Irrigation Scheme in Limpopo Province, South Africa.","authors":"Liboster Mwadzingeni, R. Mugandani, P. Mafongoya","doi":"10.17306/j.jard.2020.01314","DOIUrl":"https://doi.org/10.17306/j.jard.2020.01314","url":null,"abstract":"Smallholder irrigation farming is valuable for improving the welfare of rural communities in South Africa. Irrigation schemes in South Africa perform below average as some collapsed. Boosting performance of irrigation schemes will ensure economic sustainability for low-income earners. There is little scholarly literature on factors affecting performance of smallholder irrigation schemes in South Africa. Therefore, this study assessed factors affecting yield and gross margin of sweet potato in Tshiombo Irrigation Scheme. Data was collected using structured questionnaires, Focus Group Discussions and in-depth interviews. Performance of the irrigation scheme was analysed using Ordinary Least Square. Yield or gross margin of sweet potatoes were used as proxies for scheme performance. Six estimators, namely age of farmers (-0.022), labour availability (-0.185), cultivated area (-0.130), pesticide subsidy (0.138), market price (6.090), and distance of the plot from the main canal (0.191) significantly impacted performance of the scheme. Minimum participation of farmers in value chain exposed then to lower market prices. Gross margin was generally low due to limited participation of aging farmers in the value chain. Performance of the scheme can be improved through providing and ensuring competitive prices and encouraging youth to participate in scheme farming by providing lucrative market prices.","PeriodicalId":30385,"journal":{"name":"Journal of Agribusiness and Rural Development","volume":"57 1","pages":"269–277-269–277"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46204826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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