Effect of social capital and information acquisition on the adoption and benefits of conservation agriculture among cassava and maize smallholder farmers in South-West Nigeria
- Authors: Olawuyi, Seyi Olalekan
- Date: 2019
- Subjects: Agricultural conservation , Sustainable agriculture , Farms, Small
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/15200 , vital:40200
- Description: Sustainable economic growth and development in developing economy like Nigeria is achievable through the agricultural sector and sub-sectors which are concentrated in rural areas. Rural areas represent a home to majority (about 75%) of the households practicing farming for family sustenance and/or to earn income from the sales of agricultural products (Oyakhilomen and Zibah, 2014). In addition to the persistent use of traditional farming practices, these rural farming households cultivate crops varieties that are low-yielding on small and scattered farmland holdings (smallholder farmers) (Oyakhilomen and Zibah, 2014). This act depletes the soil organic matter with devastating consequences on production output, income generation as well as the ecosystem. Similarly, non-access to agricultural credit and limited technical knowhow are parts of the challenges that are facing the development of farming activities in subSaharan Africa, including Nigeria (Kassie, Pender, Yesuf, Köhlin, Bluffstone and Mulugeta, 2008). These challenges call for holistic interventions such as conservative agricultural practices; which are sustainable, promote safe environment and ultimately increase production output.
- Full Text:
- Date Issued: 2019
- Authors: Olawuyi, Seyi Olalekan
- Date: 2019
- Subjects: Agricultural conservation , Sustainable agriculture , Farms, Small
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/15200 , vital:40200
- Description: Sustainable economic growth and development in developing economy like Nigeria is achievable through the agricultural sector and sub-sectors which are concentrated in rural areas. Rural areas represent a home to majority (about 75%) of the households practicing farming for family sustenance and/or to earn income from the sales of agricultural products (Oyakhilomen and Zibah, 2014). In addition to the persistent use of traditional farming practices, these rural farming households cultivate crops varieties that are low-yielding on small and scattered farmland holdings (smallholder farmers) (Oyakhilomen and Zibah, 2014). This act depletes the soil organic matter with devastating consequences on production output, income generation as well as the ecosystem. Similarly, non-access to agricultural credit and limited technical knowhow are parts of the challenges that are facing the development of farming activities in subSaharan Africa, including Nigeria (Kassie, Pender, Yesuf, Köhlin, Bluffstone and Mulugeta, 2008). These challenges call for holistic interventions such as conservative agricultural practices; which are sustainable, promote safe environment and ultimately increase production output.
- Full Text:
- Date Issued: 2019
Land rental policy and land market in Mashonaland East Province, Zimbabwe: implications on farmer decisions, efficiency and equity under A1 and A2 models
- Authors: Tatsvarei , Simbarashe
- Date: 2019
- Subjects: Farms, Small Agricultural extension work
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/15666 , vital:40501
- Description: Government promulgated the land rental policy starting in the year 2007. The policy required that A1 (market residual) and A2 (indigenous commercial) farmers pay rentals to the state. Since then, there has also been an emerging trend in which farmers have been renting in and out land, resulting in an informal market for land rentals. The study therefore assessed farmers’ perceptions of land rental policy and evaluated the possible association of this policy to farmers’ decision making on land rental markets as well as its implications on farmers’ efficiency and equity. The study was carried out in Mashonaland East Province of Zimbabwe, covering two districts, Goromonzi and Marondera. The focus was specifically on A1 and A2 farmers, as the rental policy was directed at these resettlement models only and much of the informal land rental markets were prevalent among these categories of farmers. Data collection utilised the survey approach. This was supported by key informant interviews and focus group discussions, with a final sample of 339 households selected using multi-stage sampling method. Survey data were transcribed on CsPro 6, and analysed using Stata, SPSS and Frontier 4.1. Results showed that about a third of household respondents was from Marondera and twothirds was from Goromonzi, while 79% and 21% was A1 and A2 farmers respectively. About 80% was male headed households and the remainder was female headed households. About half of the households were not participating in land rental markets while the other half was split almost equally between those renting-in and renting-out land. In general, A2 farmers were better in agricultural productivity than A1 farmers. It was concluded that farmers had a fairly good knowledge of the agricultural land rental policy enunciated in the Finance Bills. A1 farmers were more knowledgeable than A2 farmers, but no vii significant differences were observed between male and female headed households and farmers involved and not involved in land rental markets. Farmers’ attitudes in relation to policy were categorised as fair, with significant differences based on gender and land market participation. Practice scores showed a poor adherence to policy for all categories of farmers. Overall perceptions of farmers on rental policy was inferred as fair with significant differences existing between land rental market participants and non-participants (autarky). The results of a bivariate Tobit model results showed that the decision to rent-in land was significantly influenced by gender, household income, permanent labour, cultivated area, tenure certainty, irrigable land size and crop diversification. On the other hand, age, permanent labour, irrigable land size and crop diversification significantly influenced farmers’ decisions to rent-out land. The conclusion was that household characteristics, land endowments and transaction costs significantly influenced the decision to rent-in land while the former two were strong in influencing renting-out decisions. Results from the linearized Cobb Douglas model showed that economic efficiency for most farmers was above 50%. Farmers renting-out land under A1 were found to be the most economically efficient, followed by those who were renting-in and least efficient were farmers not participating in land rental markets, though the differences were marginal. For the A2 model, renting-in farmers were the most efficient, followed by those in autarky position, while renting-out farmers were the least. Overall, the most efficient farmers were those renting-in, followed by those renting-out while farmers in autarky were the least efficient. Overall efficiency was higher for A2 farmers than for A1 farmers. For farmers not participating in rental markets, the sources of inefficiency were crop type, crop area and labour. For farmers renting-in, it was proportion of irrigable land, size of irrigable land, crop type, crop area and viii labour, while inefficiency drivers for renting-out farmers were crop type and associated area. Equity analysis showed that participation in land rental markets reduced inequality for farmers in the two districts and male and female headed households. Inequality was increased among A1 farmers and remained unchanged among A2 farmers. Overall, the emerging position was that participation in land rental markets resulted in higher efficiency and reduced inequality in land holding among the sampled farmers. It is recommended that government should be consistent on land rental policy and bring into place effective administration of land rental policy. Government may also consider formal acceptance of land rental markets in light of the marginal efficiency and equity benefits shown in the study. However, formalizing land rental markets alone may not be a panacea to improved efficiency and needs to be supported by other productivity measures given the average efficiency values for farmers. Crop and livestock production based on compatibility with the natural regions and defined minimum size of land should be encouraged to improve efficiency
- Full Text:
- Date Issued: 2019
- Authors: Tatsvarei , Simbarashe
- Date: 2019
- Subjects: Farms, Small Agricultural extension work
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/15666 , vital:40501
- Description: Government promulgated the land rental policy starting in the year 2007. The policy required that A1 (market residual) and A2 (indigenous commercial) farmers pay rentals to the state. Since then, there has also been an emerging trend in which farmers have been renting in and out land, resulting in an informal market for land rentals. The study therefore assessed farmers’ perceptions of land rental policy and evaluated the possible association of this policy to farmers’ decision making on land rental markets as well as its implications on farmers’ efficiency and equity. The study was carried out in Mashonaland East Province of Zimbabwe, covering two districts, Goromonzi and Marondera. The focus was specifically on A1 and A2 farmers, as the rental policy was directed at these resettlement models only and much of the informal land rental markets were prevalent among these categories of farmers. Data collection utilised the survey approach. This was supported by key informant interviews and focus group discussions, with a final sample of 339 households selected using multi-stage sampling method. Survey data were transcribed on CsPro 6, and analysed using Stata, SPSS and Frontier 4.1. Results showed that about a third of household respondents was from Marondera and twothirds was from Goromonzi, while 79% and 21% was A1 and A2 farmers respectively. About 80% was male headed households and the remainder was female headed households. About half of the households were not participating in land rental markets while the other half was split almost equally between those renting-in and renting-out land. In general, A2 farmers were better in agricultural productivity than A1 farmers. It was concluded that farmers had a fairly good knowledge of the agricultural land rental policy enunciated in the Finance Bills. A1 farmers were more knowledgeable than A2 farmers, but no vii significant differences were observed between male and female headed households and farmers involved and not involved in land rental markets. Farmers’ attitudes in relation to policy were categorised as fair, with significant differences based on gender and land market participation. Practice scores showed a poor adherence to policy for all categories of farmers. Overall perceptions of farmers on rental policy was inferred as fair with significant differences existing between land rental market participants and non-participants (autarky). The results of a bivariate Tobit model results showed that the decision to rent-in land was significantly influenced by gender, household income, permanent labour, cultivated area, tenure certainty, irrigable land size and crop diversification. On the other hand, age, permanent labour, irrigable land size and crop diversification significantly influenced farmers’ decisions to rent-out land. The conclusion was that household characteristics, land endowments and transaction costs significantly influenced the decision to rent-in land while the former two were strong in influencing renting-out decisions. Results from the linearized Cobb Douglas model showed that economic efficiency for most farmers was above 50%. Farmers renting-out land under A1 were found to be the most economically efficient, followed by those who were renting-in and least efficient were farmers not participating in land rental markets, though the differences were marginal. For the A2 model, renting-in farmers were the most efficient, followed by those in autarky position, while renting-out farmers were the least. Overall, the most efficient farmers were those renting-in, followed by those renting-out while farmers in autarky were the least efficient. Overall efficiency was higher for A2 farmers than for A1 farmers. For farmers not participating in rental markets, the sources of inefficiency were crop type, crop area and labour. For farmers renting-in, it was proportion of irrigable land, size of irrigable land, crop type, crop area and viii labour, while inefficiency drivers for renting-out farmers were crop type and associated area. Equity analysis showed that participation in land rental markets reduced inequality for farmers in the two districts and male and female headed households. Inequality was increased among A1 farmers and remained unchanged among A2 farmers. Overall, the emerging position was that participation in land rental markets resulted in higher efficiency and reduced inequality in land holding among the sampled farmers. It is recommended that government should be consistent on land rental policy and bring into place effective administration of land rental policy. Government may also consider formal acceptance of land rental markets in light of the marginal efficiency and equity benefits shown in the study. However, formalizing land rental markets alone may not be a panacea to improved efficiency and needs to be supported by other productivity measures given the average efficiency values for farmers. Crop and livestock production based on compatibility with the natural regions and defined minimum size of land should be encouraged to improve efficiency
- Full Text:
- Date Issued: 2019
Institutions, Production and Marketing of maize in Zimbabwe. Case of Marondera District of Mashonaland East Province
- Authors: Mafuse, Never
- Date: 2018
- Subjects: Food security Food supply
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/15687 , vital:40506
- Description: Food security situation in Zimbabwe is deteriorating despite the efforts made by the government for embarking on agrarian reforms in terms of redressing colonial imbalances and taking on the major trading investment risks. The government assured the resettled farmers that if they invest in maize production, they would not be stranded by lack of marketing services as the markets are liberalized. However, this market liberalization policy occurring in maize sector has resulted in A1 resettled farmers becoming more vulnerable to traders preying on their weaknesses as the policy is not living up to expectations and is failing to bring dramatic increases in agricultural growth. This may mean that sending children to school is a nightmare for those who depend on farming for educating their children, inadequate food in the home, unpaid loans and subsequent impoverishment. The resettled A1farmers will remain trapped in the poverty cycle as long as institutions are not corrected. The general aim of the study was to evaluate institutional factors influencing maize production and marketing by A1 resettled farmers of Marondera district in Mashonaland East province of Zimbabwe. Using a sample of 343 farmers randomly selected in Marondera District, different econometric models like Data envelopment Analysis, Cob Douglas, Binary logistic, and Tobit as well as descriptive statistics were used to analyse the data. Institutional variables were captured in two ways: as a dummy showing whether farmers have access to institutional variables and as a continuous variable indicating importance of institutions on maize production and marketing. The study found out that, most of the A1 farmers are old, with a mean age of 47 years and a maximum of 55 years of farming experience. It is also dominated by male farmers who are literate. Results also showed that most of A1 farmers from the sample are married and very few separated. These farmers sell most their maize and keep little for consumption though they are still using convectional farming methods. Most of the farmers from the sample generate their incomes from farming activities only and they have good access to market and production information as well as extension xvi messages through training .They however have poor access to financial credit and weak social capital as well as low contract farming. Results also indicated that A1 farmers pursue the formal supply chains than informal supply chains. It is noted that, A1 farmers participate in a number of markets that include agricultural inputs markets seed, fertilizers, chemicals.; credit markets which includes banks as well as labour markets which can in the form of (maricho). In terms production and marketing efficiency, the study found out that A1 farmers are technically, allocatively and economically inefficient. The maximum efficient score is 1 while the minimum score is 0.01 for both production and marketing stage. The mean scores for production stage are 0.195, 0.504 and 0.072 for technical, allocative and economic efficient respectively. The mean scores for marketing are 0.103, 0.688, and 0.068 for technical, allocative and economic efficiency respectively. Farmers are performing better at production stage than at marketing technically while there is better allocative and economic efficiency at marketing stage. Results for determinants of technical, allocative and economic efficiency at production stage showed that, cattle ownership, farming experience, access to financial credit and (member of farmer organisation) which was used as a proxy indicator for social capital ,access to information, contract farming, distance to input market ,area planted to maize and quantity of seed used influences marketing efficiency of A1 maize farmers in Marondera District. Access to credit, Access to market, distance to market, road infrastructure, farming experience and access to information influences technical, allocative and economic efficiency at marketing stage. Cooperative membership, road infrastructure, contractual farming arrangements, and access to financial credit and transport cost to market influence choice of marketing channel respectively. Finally results from the non linear cob Douglas reveals that, maize production is significantly influenced by contract with value chain actors, access to market xvii information, access to financial credit, total topdressing used , total basal fertilizer used, total herbicides used, and total area put under maize production. The results showed that, future of A1 resettled farmers depends on correcting the institutions which are of paramount importance for maize production and marketing. The study therefore recommended the government to improve institutional environment that has direct link with institutional innovations necessary for sustainable maize production and marketing. This can be done through correcting inefficiencies and ineffective institutions by creating and maintaining both environment and arrangement that will transform maize production and marketing systems to operate efficiently. The study presents policy options to address both production and marketing of maize arguing that new direction of production and marketing of maize depends on correcting dysfunctional institutions. Policy options include increasing A1 farmers access to financial credit by removing the stringent collateral requirements which are not attainable by most A1 farmers as their asset endowment is limited to non capital. Addressing imperfections in the input markets by improving the supply of chemical fertilisers and seed at affordable prices as this influences total area put under maize production. The other policy is for private companies and NGOs to offer contract farming to A1 maize farmers as this will help them to increase total area put under maize production, access to market, access to credit, and access to information and reduces long distances to purchase inputs. Introducing focused training to motivate resettled A1 farmers on formation farmer organisations as this assists in social capital which is an important asset in maize production and marketing.Improving road infrastructure by creating a fund that would be used to maintain the road rather waiting for DDF only.
- Full Text:
- Date Issued: 2018
- Authors: Mafuse, Never
- Date: 2018
- Subjects: Food security Food supply
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/15687 , vital:40506
- Description: Food security situation in Zimbabwe is deteriorating despite the efforts made by the government for embarking on agrarian reforms in terms of redressing colonial imbalances and taking on the major trading investment risks. The government assured the resettled farmers that if they invest in maize production, they would not be stranded by lack of marketing services as the markets are liberalized. However, this market liberalization policy occurring in maize sector has resulted in A1 resettled farmers becoming more vulnerable to traders preying on their weaknesses as the policy is not living up to expectations and is failing to bring dramatic increases in agricultural growth. This may mean that sending children to school is a nightmare for those who depend on farming for educating their children, inadequate food in the home, unpaid loans and subsequent impoverishment. The resettled A1farmers will remain trapped in the poverty cycle as long as institutions are not corrected. The general aim of the study was to evaluate institutional factors influencing maize production and marketing by A1 resettled farmers of Marondera district in Mashonaland East province of Zimbabwe. Using a sample of 343 farmers randomly selected in Marondera District, different econometric models like Data envelopment Analysis, Cob Douglas, Binary logistic, and Tobit as well as descriptive statistics were used to analyse the data. Institutional variables were captured in two ways: as a dummy showing whether farmers have access to institutional variables and as a continuous variable indicating importance of institutions on maize production and marketing. The study found out that, most of the A1 farmers are old, with a mean age of 47 years and a maximum of 55 years of farming experience. It is also dominated by male farmers who are literate. Results also showed that most of A1 farmers from the sample are married and very few separated. These farmers sell most their maize and keep little for consumption though they are still using convectional farming methods. Most of the farmers from the sample generate their incomes from farming activities only and they have good access to market and production information as well as extension xvi messages through training .They however have poor access to financial credit and weak social capital as well as low contract farming. Results also indicated that A1 farmers pursue the formal supply chains than informal supply chains. It is noted that, A1 farmers participate in a number of markets that include agricultural inputs markets seed, fertilizers, chemicals.; credit markets which includes banks as well as labour markets which can in the form of (maricho). In terms production and marketing efficiency, the study found out that A1 farmers are technically, allocatively and economically inefficient. The maximum efficient score is 1 while the minimum score is 0.01 for both production and marketing stage. The mean scores for production stage are 0.195, 0.504 and 0.072 for technical, allocative and economic efficient respectively. The mean scores for marketing are 0.103, 0.688, and 0.068 for technical, allocative and economic efficiency respectively. Farmers are performing better at production stage than at marketing technically while there is better allocative and economic efficiency at marketing stage. Results for determinants of technical, allocative and economic efficiency at production stage showed that, cattle ownership, farming experience, access to financial credit and (member of farmer organisation) which was used as a proxy indicator for social capital ,access to information, contract farming, distance to input market ,area planted to maize and quantity of seed used influences marketing efficiency of A1 maize farmers in Marondera District. Access to credit, Access to market, distance to market, road infrastructure, farming experience and access to information influences technical, allocative and economic efficiency at marketing stage. Cooperative membership, road infrastructure, contractual farming arrangements, and access to financial credit and transport cost to market influence choice of marketing channel respectively. Finally results from the non linear cob Douglas reveals that, maize production is significantly influenced by contract with value chain actors, access to market xvii information, access to financial credit, total topdressing used , total basal fertilizer used, total herbicides used, and total area put under maize production. The results showed that, future of A1 resettled farmers depends on correcting the institutions which are of paramount importance for maize production and marketing. The study therefore recommended the government to improve institutional environment that has direct link with institutional innovations necessary for sustainable maize production and marketing. This can be done through correcting inefficiencies and ineffective institutions by creating and maintaining both environment and arrangement that will transform maize production and marketing systems to operate efficiently. The study presents policy options to address both production and marketing of maize arguing that new direction of production and marketing of maize depends on correcting dysfunctional institutions. Policy options include increasing A1 farmers access to financial credit by removing the stringent collateral requirements which are not attainable by most A1 farmers as their asset endowment is limited to non capital. Addressing imperfections in the input markets by improving the supply of chemical fertilisers and seed at affordable prices as this influences total area put under maize production. The other policy is for private companies and NGOs to offer contract farming to A1 maize farmers as this will help them to increase total area put under maize production, access to market, access to credit, and access to information and reduces long distances to purchase inputs. Introducing focused training to motivate resettled A1 farmers on formation farmer organisations as this assists in social capital which is an important asset in maize production and marketing.Improving road infrastructure by creating a fund that would be used to maintain the road rather waiting for DDF only.
- Full Text:
- Date Issued: 2018
Livelihood and unemployment transitions : drivers and effects on welfare in Nigeria
- Authors: Fashogbon, Ayodele Emmanuel
- Date: 2018
- Subjects: Social service -- Nigeria Social problems -- Nigeria Nigeria -- Social conditions
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/9176 , vital:34302
- Description: Hunger, unemployment and social crisis are increasing in Nigeria. Statistics supports it that most of the able-bodied youth, both male and female, are not in employment, school or training in Nigeria while poverty rate is as high as a decade ago. A number of research efforts have looked at the micro and macroeconomic paths of the problem with less attention on dynamism of unemployment vis-a-vis the labour market transition, hence this study. This study investigates dynamism of labour market by assessing pattern and transition in labour market and out of labour, as well as determining the effect size of households head’s unemployment on household welfare. To achieve this objective, the General Household Survey (GHS) panel data for 2010/211 and 2012/2013 for Nigeria was used coupled with panel regression analyses to identify determinants of transitions from unemployment to productive sectors, and determinants of transition from productive sectors to unemployment, as well as effect of unemployment on household welfare while controlling for potential endogeneity in unemployment. Across the productive sectors and between 2010 and 2013, the descriptive results of transition show that workforce in the services sector (68 percent) are the most persistent, followed by agriculture (59 percent) and least is mining and manufacturing (44 percent). Transition from nonemployment occurred the most to services sector (22 percent), followed by out-of-labour force (18 percent), agriculture (15 percent) and least to mining and manufacturing (5 percent). Further, the results show that there are both locations and gender differences in the extent of transitions in the labour market. The econometric analyses reveal that job search characteristics, age, educational levels, gender, family ties, locations and time significantly determine transition from unemployment to productive sectors (agriculture or non-agriculture). Likewise, job characteristics, demographic variables, social network, location and time significantly determine switch from one productive sector to another or to unemployment. Moreover, it explicitly reveals as well from the analysis that household head month of unemployment reduces household total consumption and food consumption by 6.4 percent with gender and sectorial differences. The study recommends a combined and swift intervention on three sides: one, there is a need to stimulate education either through scholarship, or adult education from both public and private sectors; two, need to create jobs for youth to reduce potential social and economic crisis; and lastly there is a need to provide social support either in terms of public workfare, skills for jobs and unemployment benefits.
- Full Text:
- Date Issued: 2018
- Authors: Fashogbon, Ayodele Emmanuel
- Date: 2018
- Subjects: Social service -- Nigeria Social problems -- Nigeria Nigeria -- Social conditions
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/9176 , vital:34302
- Description: Hunger, unemployment and social crisis are increasing in Nigeria. Statistics supports it that most of the able-bodied youth, both male and female, are not in employment, school or training in Nigeria while poverty rate is as high as a decade ago. A number of research efforts have looked at the micro and macroeconomic paths of the problem with less attention on dynamism of unemployment vis-a-vis the labour market transition, hence this study. This study investigates dynamism of labour market by assessing pattern and transition in labour market and out of labour, as well as determining the effect size of households head’s unemployment on household welfare. To achieve this objective, the General Household Survey (GHS) panel data for 2010/211 and 2012/2013 for Nigeria was used coupled with panel regression analyses to identify determinants of transitions from unemployment to productive sectors, and determinants of transition from productive sectors to unemployment, as well as effect of unemployment on household welfare while controlling for potential endogeneity in unemployment. Across the productive sectors and between 2010 and 2013, the descriptive results of transition show that workforce in the services sector (68 percent) are the most persistent, followed by agriculture (59 percent) and least is mining and manufacturing (44 percent). Transition from nonemployment occurred the most to services sector (22 percent), followed by out-of-labour force (18 percent), agriculture (15 percent) and least to mining and manufacturing (5 percent). Further, the results show that there are both locations and gender differences in the extent of transitions in the labour market. The econometric analyses reveal that job search characteristics, age, educational levels, gender, family ties, locations and time significantly determine transition from unemployment to productive sectors (agriculture or non-agriculture). Likewise, job characteristics, demographic variables, social network, location and time significantly determine switch from one productive sector to another or to unemployment. Moreover, it explicitly reveals as well from the analysis that household head month of unemployment reduces household total consumption and food consumption by 6.4 percent with gender and sectorial differences. The study recommends a combined and swift intervention on three sides: one, there is a need to stimulate education either through scholarship, or adult education from both public and private sectors; two, need to create jobs for youth to reduce potential social and economic crisis; and lastly there is a need to provide social support either in terms of public workfare, skills for jobs and unemployment benefits.
- Full Text:
- Date Issued: 2018
Determinants of smallholder vegetable farmers' participation on post-harvest practices and market access : evidence from Mashonaland East Province of Zimbabwe
- Authors: Mukarumbwa, Peter
- Date: 2017
- Subjects: Farms, Small -- Zimbabwe Vegetables -- Zimbabwe -- Marketing Vegetable trade -- Zimbabwe
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/8703 , vital:33431
- Description: Smallholder vegetable production is very vital in enhancing livelihoods in Zimbabwe’s rural areas. Vegetable production generates household income and improves household food security. Despite this, smallholder vegetable farmers in Zimbabwe suffer huge post-harvest losses which reduce their profits and market competiveness. Post-harvest losses of vegetables are a major dilemma faced by smallholder farmers. They not only represent waste of scare resources such as farm inputs but they also entail wasted investment in terms of time, human effort and food. Furthermore, there are also a myriad of other challenges which constrain smallholder vegetable farmers in Zimbabwe from accessing lucrative markets. The broad objective of the study was to assess smallholder vegetable farmers` preferred post-harvest practices for value addition as well as factors that condition their selection choices, adoption and product market access. The study was conducted in four districts: Seke, Goromonzi, Murehwa and Mutoko, in the Mashonaland East Province of Zimbabwe. A multistage sampling procedure was adopted in the selection of villages and households. A total of 385 smallholder vegetable farmers were interviewed. The survey was undertaken from August–October 2016. Descriptive statistics were employed to analyse the socio-economic and demographic characteristics of households that were sampled in Mashonaland East Province. Age of household head, gender, educational level, household size, farming experience, main sources of income, land ownership, main vegetables produced and main causes of post-harvest losses were some of the statistics that were analysed. The average age of the farmers varied significantly across districts and it was generally high (average of 50 years). Moreover, the average household size was about six (6) individuals, which is an indication of high dependency ratio. The study also revealed the major causes of post-harvest losses across all vegetables predominantly cultivated in the study area were pests and diseases, followed by decay. Most of the underlying causes of huge post-harvest losses were within the control of the farmer. Therefore, the study recommends strategies from policymakers and Non-Governmental Organisations (NGOs) which enhance post-harvest management. These can result in substantial reduction in losses which can increase farmers’ income without necessarily expanding land under cultivation. The Poisson count regression model (PCRM) was used to analyse factors influencing number of post-harvest techniques adopted by smallholder vegetable farmers in the study area. The results of the PCRM revealed that the following variables were significant in influencing number of post-harvest practices adopted by smallholder vegetable growers: gender, education level, household size, age, farming experience, distance to market, market information, group membership, credit, and hired labour. The study recommends concerted efforts through public private partnerships (PPP) to provide active extension about post-harvest education. This will promote the adoption of simple, uncomplicated and innovative low-cost technologies for post-harvest management. The binary logit model was employed to analyse factors that influence smallholder vegetable farmers’ decisions to select a specific post-harvest practice for value addition. This was based on the three major post-harvest practices which were mainly being adopted by smallholder vegetable farmers’ in the study area which were drying, grading and washing. The results of the binary model showed that nine (9) variables were significant in influencing smallholder vegetable farmers’ decisions to select post-harvest practice for value addition. These were: gender, land size, distance to market, market information, family labour, training, target market, quantity produced and storage facilities. Policymakers and other stakeholders need to provide productive resources such as inputs to improve productivity and ultimately selection of basic post-harvest management techniques along the vegetable supply chain. The multinomial logit model was used in the study to analyse factors that influence market channel choice of smallholder vegetable farmers in the study area. The results from the multinomial logistic regression model revealed that distance to market, group membership, adding value, road infrastructure and quantity produced influenced participation in informal markets. On the other hand, gender, distance to market, market information, group membership, producer price, adding value, road infrastructure, quantity produced and market infrastructure influenced farmers’ participation in formal markets. Policies aimed at assisting resources for improved productivity of vegetables should be gender sensitive. Establishment of irrigation schemes as well as provision of credit for smallholder vegetable production are vital interventions. In the same way, crafting of appropriate policies and programmes which foster collective action amongst smallholder vegetable farmers are required. This will enable them to produce larger volumes as well as participate in more lucrative markets. Finally, smallholder vegetable farmers’ transaction costs can be reduced by investment in infrastructure such as roads.
- Full Text:
- Date Issued: 2017
- Authors: Mukarumbwa, Peter
- Date: 2017
- Subjects: Farms, Small -- Zimbabwe Vegetables -- Zimbabwe -- Marketing Vegetable trade -- Zimbabwe
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/8703 , vital:33431
- Description: Smallholder vegetable production is very vital in enhancing livelihoods in Zimbabwe’s rural areas. Vegetable production generates household income and improves household food security. Despite this, smallholder vegetable farmers in Zimbabwe suffer huge post-harvest losses which reduce their profits and market competiveness. Post-harvest losses of vegetables are a major dilemma faced by smallholder farmers. They not only represent waste of scare resources such as farm inputs but they also entail wasted investment in terms of time, human effort and food. Furthermore, there are also a myriad of other challenges which constrain smallholder vegetable farmers in Zimbabwe from accessing lucrative markets. The broad objective of the study was to assess smallholder vegetable farmers` preferred post-harvest practices for value addition as well as factors that condition their selection choices, adoption and product market access. The study was conducted in four districts: Seke, Goromonzi, Murehwa and Mutoko, in the Mashonaland East Province of Zimbabwe. A multistage sampling procedure was adopted in the selection of villages and households. A total of 385 smallholder vegetable farmers were interviewed. The survey was undertaken from August–October 2016. Descriptive statistics were employed to analyse the socio-economic and demographic characteristics of households that were sampled in Mashonaland East Province. Age of household head, gender, educational level, household size, farming experience, main sources of income, land ownership, main vegetables produced and main causes of post-harvest losses were some of the statistics that were analysed. The average age of the farmers varied significantly across districts and it was generally high (average of 50 years). Moreover, the average household size was about six (6) individuals, which is an indication of high dependency ratio. The study also revealed the major causes of post-harvest losses across all vegetables predominantly cultivated in the study area were pests and diseases, followed by decay. Most of the underlying causes of huge post-harvest losses were within the control of the farmer. Therefore, the study recommends strategies from policymakers and Non-Governmental Organisations (NGOs) which enhance post-harvest management. These can result in substantial reduction in losses which can increase farmers’ income without necessarily expanding land under cultivation. The Poisson count regression model (PCRM) was used to analyse factors influencing number of post-harvest techniques adopted by smallholder vegetable farmers in the study area. The results of the PCRM revealed that the following variables were significant in influencing number of post-harvest practices adopted by smallholder vegetable growers: gender, education level, household size, age, farming experience, distance to market, market information, group membership, credit, and hired labour. The study recommends concerted efforts through public private partnerships (PPP) to provide active extension about post-harvest education. This will promote the adoption of simple, uncomplicated and innovative low-cost technologies for post-harvest management. The binary logit model was employed to analyse factors that influence smallholder vegetable farmers’ decisions to select a specific post-harvest practice for value addition. This was based on the three major post-harvest practices which were mainly being adopted by smallholder vegetable farmers’ in the study area which were drying, grading and washing. The results of the binary model showed that nine (9) variables were significant in influencing smallholder vegetable farmers’ decisions to select post-harvest practice for value addition. These were: gender, land size, distance to market, market information, family labour, training, target market, quantity produced and storage facilities. Policymakers and other stakeholders need to provide productive resources such as inputs to improve productivity and ultimately selection of basic post-harvest management techniques along the vegetable supply chain. The multinomial logit model was used in the study to analyse factors that influence market channel choice of smallholder vegetable farmers in the study area. The results from the multinomial logistic regression model revealed that distance to market, group membership, adding value, road infrastructure and quantity produced influenced participation in informal markets. On the other hand, gender, distance to market, market information, group membership, producer price, adding value, road infrastructure, quantity produced and market infrastructure influenced farmers’ participation in formal markets. Policies aimed at assisting resources for improved productivity of vegetables should be gender sensitive. Establishment of irrigation schemes as well as provision of credit for smallholder vegetable production are vital interventions. In the same way, crafting of appropriate policies and programmes which foster collective action amongst smallholder vegetable farmers are required. This will enable them to produce larger volumes as well as participate in more lucrative markets. Finally, smallholder vegetable farmers’ transaction costs can be reduced by investment in infrastructure such as roads.
- Full Text:
- Date Issued: 2017
Poverty, Food insecurity and livelihood diversification among households in Eastern Cape province, South Africa
- Authors: Megbowon, Ebenezer Toyin
- Date: 2017
- Subjects: Food supply -- South Africa -- Eastern Cape Poverty -- South Africa -- Eastern Cape Households -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/13086 , vital:39464
- Description: Livelihood diversification have been thought to be a rural issue where agriculture is the main source of income, however in an era of dwindling global and national economic situations, livelihood diversification have been seen to be prominent among urban dwellers as well although literatures have focused more on rural households. There is also a growing evidence in literature showing that livelihood diversification is indispensable for improving household welfare. This study adopts the sustainable livelihood framework to investigate the pattern and determinants of livelihood diversification (number of income sources) and the welfare (poverty and food insecurity) effect of livelihood diversification on household in the Eastern Cape Province of South Africa. Indicators of poverty and food security were computed using Multidimensional Poverty Index (MPI) and FANTA’s Household Dietary Diversity Scores (HDDS). The study relied on data obtained from the Nation-wide annual General household Survey carried out in 2014 having 3033 households sampled from the Eastern Cape Province of South Africa. Data were analyzed using descriptive statistics, Poisson regression, Tobit regression and logistic regression models. The result of the Multidimensional Poverty Index headcount revealed that while majority (71.28 percent) of the households are not multidimensionaly poor, 20.51 percent, 6.89 percent and 1.32 percent are vulnerable to multidimensional poverty, multidimensionaly poor and severely multidimensionaly poor respectively. The study also revealed that while there is a significant differences between multidimensional poverty status in the both rural and urban area, there is no much differences when considering the gender of the household head. This indicates that poverty is still a rural phenomenon in the Province. Furthermore, the largest contributor (dimension and indicators) to household multidimensional poverty in the Province is standard of living dimension and specific indicator are the fuels use for cooking, water and space heating, toilet system, dwelling and asset accumulation are the most areas of highest deprivation. The household dietary diversity score show that household have a diverse diet with a mean score of 6.9; however the diversity is skewed toward food groups that do not give expected nutritional diets for a healthy and an economically active life. In General pulse diet and vegetables (spinach and wild green leaves) are least consumed in the province. Consumption of fruit is shown to be less consumed in the rural area as compared to the urban area. Descriptive analysis of livelihood diversification among households in the province revealed that majority of households are not diversified. Poisson regression estimate produced a good fit shown by the statistical insignificance of the deviance good of fit (p=1.09). Age of household head, population group of the head, education attainment of the head, engagement in agriculture, recipient of remittance and number of economic active member of the household) were found to be statistically significant (p<0.01) and were found to influence the probability of a household diversifying their livelihood base in the study area. The result of the Tobit regression on effect of livelihood diversification and other household socio-economic characteristics on household poverty suggest livelihood diversification has no statistically significant effect on the probability of being poor in the study area. Other variables found to influence poverty are, household head’s gender (male), age, education, employment status, access to electricity, engagement in agriculture, salary earning, economic active size of household and asset score) were found to be significantly (p<0.01) to influencing multidimensional poverty of the poor households. The result of the logistic regression indicates that livelihood diversification has no significant effect on the probability of a household being poor. Gender of head, age of household head, education attainment of the head, access to electricity, engagement in agriculture, recipients of pension, number of economic active and living in urban area were also found to be statistically significant in influencing household food insecurity in the province. The findings illustrates that livelihood diversification may not be relevant for household welfare in the case of South Africa. However promoting livelihood diversification remain imperative for household welfare in the South Africa in the long-run. It further illustrate that gender of head, education, access to electricity, home agriculture are imperative for the improvement of household welfare. Hence the study recommends policy relating to conditional granting of cash grant support, intensification of rural development programmes, education affordable and accessible at all level and support home stead or subsistence agriculture.
- Full Text:
- Date Issued: 2017
- Authors: Megbowon, Ebenezer Toyin
- Date: 2017
- Subjects: Food supply -- South Africa -- Eastern Cape Poverty -- South Africa -- Eastern Cape Households -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/13086 , vital:39464
- Description: Livelihood diversification have been thought to be a rural issue where agriculture is the main source of income, however in an era of dwindling global and national economic situations, livelihood diversification have been seen to be prominent among urban dwellers as well although literatures have focused more on rural households. There is also a growing evidence in literature showing that livelihood diversification is indispensable for improving household welfare. This study adopts the sustainable livelihood framework to investigate the pattern and determinants of livelihood diversification (number of income sources) and the welfare (poverty and food insecurity) effect of livelihood diversification on household in the Eastern Cape Province of South Africa. Indicators of poverty and food security were computed using Multidimensional Poverty Index (MPI) and FANTA’s Household Dietary Diversity Scores (HDDS). The study relied on data obtained from the Nation-wide annual General household Survey carried out in 2014 having 3033 households sampled from the Eastern Cape Province of South Africa. Data were analyzed using descriptive statistics, Poisson regression, Tobit regression and logistic regression models. The result of the Multidimensional Poverty Index headcount revealed that while majority (71.28 percent) of the households are not multidimensionaly poor, 20.51 percent, 6.89 percent and 1.32 percent are vulnerable to multidimensional poverty, multidimensionaly poor and severely multidimensionaly poor respectively. The study also revealed that while there is a significant differences between multidimensional poverty status in the both rural and urban area, there is no much differences when considering the gender of the household head. This indicates that poverty is still a rural phenomenon in the Province. Furthermore, the largest contributor (dimension and indicators) to household multidimensional poverty in the Province is standard of living dimension and specific indicator are the fuels use for cooking, water and space heating, toilet system, dwelling and asset accumulation are the most areas of highest deprivation. The household dietary diversity score show that household have a diverse diet with a mean score of 6.9; however the diversity is skewed toward food groups that do not give expected nutritional diets for a healthy and an economically active life. In General pulse diet and vegetables (spinach and wild green leaves) are least consumed in the province. Consumption of fruit is shown to be less consumed in the rural area as compared to the urban area. Descriptive analysis of livelihood diversification among households in the province revealed that majority of households are not diversified. Poisson regression estimate produced a good fit shown by the statistical insignificance of the deviance good of fit (p=1.09). Age of household head, population group of the head, education attainment of the head, engagement in agriculture, recipient of remittance and number of economic active member of the household) were found to be statistically significant (p<0.01) and were found to influence the probability of a household diversifying their livelihood base in the study area. The result of the Tobit regression on effect of livelihood diversification and other household socio-economic characteristics on household poverty suggest livelihood diversification has no statistically significant effect on the probability of being poor in the study area. Other variables found to influence poverty are, household head’s gender (male), age, education, employment status, access to electricity, engagement in agriculture, salary earning, economic active size of household and asset score) were found to be significantly (p<0.01) to influencing multidimensional poverty of the poor households. The result of the logistic regression indicates that livelihood diversification has no significant effect on the probability of a household being poor. Gender of head, age of household head, education attainment of the head, access to electricity, engagement in agriculture, recipients of pension, number of economic active and living in urban area were also found to be statistically significant in influencing household food insecurity in the province. The findings illustrates that livelihood diversification may not be relevant for household welfare in the case of South Africa. However promoting livelihood diversification remain imperative for household welfare in the South Africa in the long-run. It further illustrate that gender of head, education, access to electricity, home agriculture are imperative for the improvement of household welfare. Hence the study recommends policy relating to conditional granting of cash grant support, intensification of rural development programmes, education affordable and accessible at all level and support home stead or subsistence agriculture.
- Full Text:
- Date Issued: 2017
Production systems, profitability and participation in the mainstream markets by smallholder broiler chicken farmers of Maseru district in Lesotho
- Mphahama, Litsoanelo Evodiah
- Authors: Mphahama, Litsoanelo Evodiah
- Date: 2017
- Subjects: Broilers (Chickens)
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/8678 , vital:33423
- Description: Growth in global demand for broiler chicken meat has become tremendous, hence; as one segment of poultry, broiler chicken production has a privilege to highly contribute to nations’ nutritional demands because of the shorter productive age, with only 42 days needed to reach a marketable weight with a high rate of productivity. In fact; in developing countries the importance of broiler chickens to the national economy cannot be overemphasized, as it has become a popular industry especially for the smallholder farmers that have great contribution to the economies of their countries. However, it is difficult to see a bright future for smallholder broiler chicken farmers in this rapidly changing industry structure. A major concern is that this group of farmers faces severe constraints and challenges to taking advantage of mainstream market opportunities; a situation that would impede the success of the sector leading the farmers to exit the business. The aim of this study was to investigate factors challenging small-holder broiler chicken profitability and the choice of market channels used by these famers. The study was conducted in the Maseru district in Lesotho. Using availability sampling; 220 smallholder broiler chicken farming households were purposively selected. Data were obtained from secondary sources and by an administration of questionnaires from January until March 2016. Excel, XLSTAT and SPSS were used for analyzing the data. The descriptive findings of this study were applied to the biographical characteristics of the smallholder broiler chicken farmers. Ages, household size, marital status, occupation, source of credit and broiler chicken production system were determined using SPSS through graphs, mean and percentages. Findings from determining broiler chicken profitability revealed that a mean gross margin of M607.74 in the rural areas and M665.13 from the urban areas were obtained. The results indicated broiler chicken feeds and day old chicks as major operational costs in broiler chicken rearing. This study also explored factors that influence broiler chicken profitability on smallholder farmers. The results suggest that cost starter feeds, cost finisher feeds, transport cost and cost dox/doc negatively affected broiler chicken profits while a number of sold chicken and chicken price had a positive influence. The empirical results from the Binary option of market participation revealed that three variables (number of years in broiler chicken business, access to transport, and access to extension) and one variable (stock size) in rural and urban households respectively had positive signs, thereby, implying an increase in participation in the formal markets. On the other hand two variables; access to information and household size in rural and urban households respectively had negative associations, thus implying that an increase in any of these variables may be associated with a decrease in the formal market participation level. The study therefore, concludes that number of sold chicken and chicken price positively affect broiler chicken profitability however; household size have negative effect on the level of formal market participation among urban households. Therefore, it is recommended that smallholder broiler chicken farmers increase their stocking volumes and get amalgamated into cooperatives in order to be able to access formal markets; hence increased broiler chicken profits.
- Full Text:
- Date Issued: 2017
- Authors: Mphahama, Litsoanelo Evodiah
- Date: 2017
- Subjects: Broilers (Chickens)
- Language: English
- Type: Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10353/8678 , vital:33423
- Description: Growth in global demand for broiler chicken meat has become tremendous, hence; as one segment of poultry, broiler chicken production has a privilege to highly contribute to nations’ nutritional demands because of the shorter productive age, with only 42 days needed to reach a marketable weight with a high rate of productivity. In fact; in developing countries the importance of broiler chickens to the national economy cannot be overemphasized, as it has become a popular industry especially for the smallholder farmers that have great contribution to the economies of their countries. However, it is difficult to see a bright future for smallholder broiler chicken farmers in this rapidly changing industry structure. A major concern is that this group of farmers faces severe constraints and challenges to taking advantage of mainstream market opportunities; a situation that would impede the success of the sector leading the farmers to exit the business. The aim of this study was to investigate factors challenging small-holder broiler chicken profitability and the choice of market channels used by these famers. The study was conducted in the Maseru district in Lesotho. Using availability sampling; 220 smallholder broiler chicken farming households were purposively selected. Data were obtained from secondary sources and by an administration of questionnaires from January until March 2016. Excel, XLSTAT and SPSS were used for analyzing the data. The descriptive findings of this study were applied to the biographical characteristics of the smallholder broiler chicken farmers. Ages, household size, marital status, occupation, source of credit and broiler chicken production system were determined using SPSS through graphs, mean and percentages. Findings from determining broiler chicken profitability revealed that a mean gross margin of M607.74 in the rural areas and M665.13 from the urban areas were obtained. The results indicated broiler chicken feeds and day old chicks as major operational costs in broiler chicken rearing. This study also explored factors that influence broiler chicken profitability on smallholder farmers. The results suggest that cost starter feeds, cost finisher feeds, transport cost and cost dox/doc negatively affected broiler chicken profits while a number of sold chicken and chicken price had a positive influence. The empirical results from the Binary option of market participation revealed that three variables (number of years in broiler chicken business, access to transport, and access to extension) and one variable (stock size) in rural and urban households respectively had positive signs, thereby, implying an increase in participation in the formal markets. On the other hand two variables; access to information and household size in rural and urban households respectively had negative associations, thus implying that an increase in any of these variables may be associated with a decrease in the formal market participation level. The study therefore, concludes that number of sold chicken and chicken price positively affect broiler chicken profitability however; household size have negative effect on the level of formal market participation among urban households. Therefore, it is recommended that smallholder broiler chicken farmers increase their stocking volumes and get amalgamated into cooperatives in order to be able to access formal markets; hence increased broiler chicken profits.
- Full Text:
- Date Issued: 2017
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