Thesis (Ph.D.(Environmental Economics))--University of Pretoria, 2009. / Abstract in English. Includes bibliographical references.

Thesis (Ph. D.)--Wageningen University, 2008. / Includes bibliographical references.

Thesis (M.Agric.)-University of KwaZulu-Natal, Pietermaritzburg, 2008. / Submitted to the African Centre for Food Security. Full text also available online. Scroll down for electronic link.

Thesis (Ph. D.)--University of Queensland, 2003. / Includes bibliographical references.

Thesis (doctoral)--Technische Universitat, Braunschweig, 2004. / Includes bibliographical references (p. [187-205).

Thesis (M.A. in agricultural economics)--Washington State University, August 2006. / Includes bibliographical references.

Although several studies have investigated commercial farmers’ risk preferences, there is still lack of information on the risk attitudes and risk preferences of smallholder farmers in South Africa. Risks associated with the adoption of new agricultural technology need to be explored in order to address the transition from homestead food gardening to smallholder irrigated farming. This study seeks to understand risk perception of smallholder irrigation farmers by linking constraints to commercialisation, adoption of new agricultural technologies and risk preferences of smallholder farmers in the Eastern Cape Province of South Africa. The overall objective of this research is to determine risk preference patterns and attitudes that influence the transition from homestead food gardening to irrigated farming of smallholder farming systems in the Eastern Cape province of South Africa. Specifically the study was to pursue the following objectives: (i) describe the demographic and socio-economic characteristics of smallholder farmers; (ii) describe existing farming systems among smallholder farmers in the study area; (iii) analyse the adoption of new agricultural technology by smallholder irrigation farmers; (iv) assess the risk perception of smallholder irrigation farmers and elicit farmers risk preferences, and (v) empirically analyse farmers sources of risk and risk management strategies. The outcome of this will inform policy formulation that have implications for technology adoption, increase smallholders capacity to bear risk and enable government and other role players have a clear understanding of smallholder farmers decisions. A total of 101 respondents were surveyed, consisting of 38 smallholder farmers and 63 homestead food gardeners in the Eastern Cape. Questionnaires were used to record household activities, socio-economic and institutional data as well as household demographics through personal interviews. The ordered probit model was applied due to the ordered nature of the dependent variable. The analysis was used to empirically analyse the determinants of farmers ‘risk preference status. The ordered probit model successfully estimated the significant variables associated with the farmer‘s adoption decisions. These were the farmer‘s age, household size, land size, locational setting, risk attitude, number of livestock (goats and chicken) and asset ownership. Homestead food gardeners were less risk averse that the smallholder farmers. Farmers who reside in the sub-wards Binfield and Battlefield were more likely to take risk than those who reside in Melani. This suggests the presence of local synergies in adoption which raises the question about the extent to which ignoring these influences biases policy conclusions. The negative correlation between land size and adoption implies that smaller farms appear to have greater propensity for adoption of new agricultural technology. This finding is supported by several studies reviewed in the literature that allude to the fact that homestead food gardeners tend to be smaller than smallholder farmers. By means of the Principal Component Analysis (PCA), seven principal components (PCs) that explained 66.13 percent of the variation were extracted. According to the loadings, the factors 1 to 7 can best be described as ‘financial and incentives index’, ‘input-output index’, ‘crop production index’, ‘labour bottleneck index’, ‘lack of production information index’, ‘lack of market opportunity index’, and ‘input availability index’ respectively. In general, price, production and financial risks were perceived as the most important sources of risk. Socio economic factors having a significant effect on the various sources of risk are age, gender, education, location, information access and risk taking ability. The most important traditional risk management strategies used by the surveyed smallholder farmers in Eastern Cape are crop diversification, precautionary savings and participating in social network. The findings are consistent with economic theory which postulates that in the absence of insurance markets, poor farm households tend to be risk averse and are reluctant to participate in farm investment decisions that are uncertain or involve higher risk.

Enhancement of smallholder production to improve rural livelihood is an important policy goal in developing countries. Research findings indicate that smallholder production can be improved through establishment of new smallholder irrigation schemes, and the rehabilitation of abandoned ones. Smallholder irrigation has a potential to contribute significantly in shifting smallholder farming to commercial farming. Although the roles of irrigating farmers are clearly defined, smallholder farmer’s development results in South Africa have been disappointing. The performance of smallholder irrigation is unsatisfactory. Smallholder irrigation has failed to improve the standard of living and livelihoods of smallholder farmers in South Africa. The majority of farmers are still producing at subsistence level. This study, therefore, aimed to contribute to smallholder irrigation literature in two ways; firstly by evaluating the extent of irrigation participation of smallholder farmers towards commercialization in the study areas. The study also examined the determinants of irrigation participation among smallholder farmers. A sample of 80 households was drawn by random sampling of smallholders in four villages as follows: 40 respondents from Mgxabakazi and Dinizulu villages and 40 respondents from Ncorha flats and Tshatshu. The sample included both irrigators and non-irrigators. Descriptive analysis shows that irrigators had better production and wellbeing than non-irrigators. For the inferential analysis of the data, two models were employed namely, Binary Logistic Regression Model (BRM) and Truncated Regression Model (TRM). The Binary Regression model was used to predict the probability of farmers participating in irrigation schemes. Whether or not a farmer participated in irrigation was introduced as the binary dependent or response variable that could be explained by a range of explanatory or predictor variables such as source of water, land size, ability to sustain business, membership in the scheme, market access, availability of the irrigation system, willingness to irrigate, farming type commercial or subsistence and institutional support services. From these predictor variables, being part of the irrigation, ability to sustain business and market were found to be factors influencing farmer’s decision to participate. The second model required the in-depth investigation of the influence of irrigation participation as reflected by extent of commercialization. In order to do this, the level of commercialization was measured by calculating Household Commercialization Index. Then the truncated regression model (TR) was used to test the factors that affect the level of commercialization for the farmers who are participating in the irrigation schemes.Age, irrigated land, willingness to commercialize and gross value of production were found to exert strong influence on the level of commercialization among farmers participating in irrigation. The study recommends that investments in smallholder irrigation should receive high priority, with emphasis on collective action, promotion of contract farming and strengthening the support services from government and the private sector, and ensuring enhanced access to market to all farmers.

Magister Scientiae (Integrated Water Resource Management) / The major aim of this study was to analyse the dynamics of stakeholder participation in the agricultural sector during the first five years of the water reform process in Zimbabwe. Specific reference is made to water allocation, conflict management and the payment of costs related to water use. Stakeholders investigated are those in communal smallholder irrigation schemes, large-scale commercial white and black farms and those resettled under the government's fast track land resettlement programme. The study was undertaken in the Middle Manyame Subcatchment area, which falls under the Manyame Catchment area. / South Africa

Please read the abstract in the section 00front of this document / Dissertation (MSc (Soil Science))--University of Pretoria, 2005. / Plant Production and Soil Science / unrestricted