Agricultural development is back on the development agenda. Even though the smallholder farmers are in the majority and at the forefront in terms of food production and agriculture being the backbone of the economy of Zimbabwe, there is no clearly defined policy on smallholder agriculture in Zimbabwe. The food insecurity has remained a continuous challenge for the rural poor in Zimbabwe. This study investigated the contribution of smallholder agriculture to food security with particular reference to the Masvingo province. The study employed qualitative method of research entailing extensive review of literature as a method of data collection. The study utilized the modernisation theory and sustainable livelihoods framework to illustrate smallholder agriculture and food security nexus. The study revealed that smallholder agriculture is the best option for addressing food security since agriculture is considered the main livelihood strategy for small scale farmers in Zimbabwe. There is general scholarly consensus that the main cause of food insecurity in Zimbabwe is a decrease in smallholder agriculture productivity. The study revealed that poor infrastructure , limited access to credit, limited access to inputs, poor investment in human development, limited access to markets and harsh climatic conditions weaken the capacity of small scale farmers to improve food security. Key recommendations are that supportive institutions need to be put in place to strengthen the smallholder farmer’s capacity to improve food security in Zimbabwe.

A cardinal development goal of the Zimbabwean government is agricultural mechanization through the acquisition and use of tractors by arable crop farmers in communal and resettlement state land. This research project therefore aimed at investigating the impact of mechanization on agricultural productivity focusing on farmers in Bindura district of Zimbabwe who benefitted under the ongoing farm mechanization program. The existing land policy and the issue of technical efficiency in agricultural productivity are assumed to be the drivers of the program. It is likely that these key issues will constitute an important consideration in determining the sustainability of the mechanization policy. A multistage sampling technique was used to randomly select 90 farmers in the study area. The Cobb Douglas approach and Logistic regression were used to analyze data obtained from the respondents. Results revealed that tractor use was positively influenced by household size, access to extension services and crop output equivalent. Education, land area cultivated, stoniness negatively influenced the probability of adoption of mechanized farming. Furthermore, the technical efficiency estimate of adopter and nonadopters of mechanized farming showed no difference in their level of technical efficiency in agricultural productivity that was 64 percent on average. The level of observed inefficiency was increased by slope, stoniness and household size while age reduced technical inefficiency. It is recommended that government should consolidate the present gains arising from extension services. Also, environmental factors such as slope (topography) and stoniness, which constituted major disincentives in communal areas, could be overcome if government and farmers can identify and open up new areas of farmland for occupation by farmers.

Food aid and domestic food production capacities in Zimbabwe have been compromised by the poor performance in the country’s agricultural sector, which has necessitated an increase in and a continual need for humanitarian assistance over the past decade. The country’s commercial cereal food import capacity has not been an exception as it has also been greatly affected by the poor performance of the agricultural sector and the shortage of foreign currency that hit the country in the past few years. Secondary data on food aid, commercial cereal imports and cereal food production was obtained from World Food Programme (WFP), Food and Agriculture Organisation (FAO), the Grain Marketing Board (GMB) of Zimbabwe and from Zimbabwe Statistics (ZimSTATS) databases. This time series data was then analysed in the Vector Autoregression (VAR) analysis. Trends observed in the time series data reveal that commercial cereal food imports and cereal food aid inflows to Zimbabwe had been increasing between 1988 and 2008. Domestic cereal food production levels however were observed to have been declining within the same period. The restricted VAR model which was specified to investigate the short and long term effects of food aid on food production and on commercial food imports in the country revealed a low statistically significant positive relationship between domestic food production and food aid volumes. Results from the model also indicated a negative relationship between commercial food imports and food aid volumes. This means that as food aid volumes to Zimbabwe increase, the volume of commercial cereal food imported into Zimbabwe falls. This result therefore suggests that food aid in the country had a displacement effect on commercial cereal food imports in the short term. The results of the Granger causality test and the estimation of the Impulse Response Functions also helped to confirm and reinforce these findings from the vector error correction model. The conclusions drawn from the study were that the responsiveness of domestic food supply, that is, cereal production, to food aid inflows in the short term has been elastic. That is to say, an increase in food aid inflows would influence an increase in the level of domestic food production in the short term. However, in the long term, findings confirm that food aid does indeed discourage domestic food production in the country. Also, for the relationship between food aid and commercial food imports, it can be concluded from the study findings that food aid in the short term has caused a reduction in commercial food imports whereas in the long term, food aid inflows have actually stimulated the commercial food import capacity. In recommendation, the Government of Zimbabwe, the private and public institutions as well as the Non-Governmental Organisations should partner and work together in defining the criteria for vulnerability assessment, food aid targeting and distribution, and in the implementation of strategies for ensuring national food availability. Such partnerships would help in ensuring the sustainability of food aid and food security in Zimbabwe, which is the main goal.

This study explores women’s access to land under the customary tenure system. It examines how the changes in land tenure, access and rights to land as a consequence of HIV/AIDS are affecting agricultural productivity, food security and poverty, with a specific focus on women who have lost their husbands to HIV/AIDS in Zvimba. Zvimba is a village community located in Zvimba District in the Mashonaland West Province of Zimbabwe. The study also discusses policy responses designed to cushion the impact of HIV/AIDS on local communities especially women living with HIV/AIDS. The study highlights the vulnerability of widows to land rights violations, mainly inflicted by relatives but sometimes by the wider community. The main form of abuse encountered included the use of abusive language, threats of evictions and at times, beatings. The legal route for seeking redress was rarely used. Fear of witchcraft, low educational levels and fear of causing conflict between children and their paternal relatives also led widows to abandon the fight for their rights. The study further reveals that widows are heavily exposed to dispossession of their land rights. HIV/AIDS has increased the vulnerability of widows and other women to threats and dispossession of their land and other property rights. Dispossession of arable fields was observed in the four wards. The dispossessions and threats to livelihoods were directly related to the HIV positive status of the widows. The findings from this study illustrate the predominant role that male members of the household or family have over land. Thus, culture and traditional practices still affect women in other cases, disadvantaging them in favour of men, as in inheritance of land and property in the household.

Small-scale farmers rarely get enough yields to sustain themselves to the next harvest. Most of these farmers are located in marginal areas with poor soils and in semi-arid areas which receive little rainfall yet the farmers practice rainfed agriculture. A number of reasons can be attributed to the low yields characterizing these farms. Lack of relevant knowledge for decision-making and climate change are among the major reasons for poor yields. Whilst there is not much the small-scale farmers can do to influence climate, they can at least make informed decisions to improve their yields. The information necessary for agricultural decision-making include the climate forecast information and information about performance of new technologies be it fertilisers, varieties or other practices. The study aimed to answer the primary research question: What is the applicability of the APSIM model in decision-making by small-scale resource constrained farmers? This question was supported by secondary research questions namely: - How useful is the APSIM model in small-scale farmers' adaptation to future climate change? - What are the current farming systems of Lower Gweru farmers with regards to maize production? - What are farmers' perceptions of climate change and what changes have they noticed in the last 10 years? - How do small-scale farmers make crop management decisions? Data was gathered through five methods namely, Focus Group Discussions, resource allocation mapping technique, APSIM simulations, on-farm experimentation, and semi-structured interviews. Data was collected from a group of 30 small-scale farmers of Lower Gweru Communal area. The study concentrated on maize production due to the fact that it is the staple food and was grown by all farmers. All the farmers perceived climate to be changing. The changes noted included late start of the rain season, early cessation of rain season and temperature extremes. The majority of farmers highlighted that they were using local indicators to make decisions about climate or to forecast the nature of the coming season before they were exposed to SCF and APSIM. The data gathered from three selected resource allocation maps were used to run the APSIM model. For which farmers were convinced that the model was credible in yield prediction based on the simulated results which reasonably compared to observed yields. The what if questions raised by farmers during the discussions were also assessed and this further increased the farmers' confidence with the model, as they viewed it as a planning and guiding tool before one can actually commit resources. The semi-structured interviews showed that most farmers will continue to use the model outputs in their decision-making. The reasons being that it was a good planning and budgeting tool, it is cheaper and faster since one can assess a lot of options in a short time and would then decide on which options are viable in a given season. The few farmers who said they would not use the model or its outputs in decision-making cited reasons including lack of a computer to install the model and that it was complex for them. Semi-structured interviews confirmed the data collected in resource allocation mapping, focused group discussions and APSIM sessions. / Thesis (M.Sc.Agric.)-University of KwaZulu-Natal, Pietermaritzburg, 2011.

The land reform that has unfolded in Zimbabwe since 1980 used different models and had diverse consequences. Since the implementation of the fast tract land reform programme in 2000, Zimbabwe experienced heavy reduction in yield and output at farm level that led to a 70% shortfall in production to meet annual food requirements (Richardson, 2005). The economic crisis in Zimbabwe has been characterized by worsening food insecurity especially in the rural areas where harvests continue to be poor. In the beef sector, Zimbabwe has failed to meet its export quota to the EU. The shortfall in production to meet annual food requirements shows a very grim situation but do not tell us about the performance of resettled farmers who now occupy much of the productive land. The broad objective of the study was to determine and compare the production efficiency of resettled farmers in Zimbabwe across land reform models. In addition, the study determined land use intensity. The study was conducted in the Mashonaland Central Province of Zimbabwe mainly because a wide variety of field crops were grown by resettled farmers. The respondents were stratified into three groups. These were: beneficiaries of land reform before 2000 (resettle scheme), fast track A1 model and fast track A2 model. The three models differ on how they were implemented and supported and this might result in different efficiencies of the models. A total of 245 copies structured questionnaire were administered on the resettled farmers from June to September 2010. Descriptive statistics was applied to the basic characteristics of the sampled households. The effect of model of land reform, gender of the household head, marital status, age of the household head, education, household size, religion, dependence ratio, whether the farmer was fulltime or part-time in farming, experience of the farmers in farming at that environment, total land size owned by the farmers and soil type on revenue per hectare and land use rate were determined using the GLM procedure of SAS (2003). Significance differences between least-square group means were compared using the PDIFF test of SAS (2003). The relationship between Revenue and land utilization was examined using the Pearson‟s correlations analysis. Dependance between response variables that had an effect on either revenue per hectare or land utilization with all the other response variables was tested using the Chi-square test for dependance. To find the effect of arable land used and herd size on revenue per hectare and land use the RSREG Procedure of SAS (2003) was used. Input oriented DEA model under the assumption of constant return to scale was used to estimate efficiency in this study. To identify factors that influence efficiency, a Tobit model censored at zero was selected. The mean land use rate varied significantly (p<0.05) with the land reform model with A2 having highest land use rate of 67%. The A1 and old resettlement households had land use rates of 53% and 46%, respectively. Sex, marital status, age of the household head, education and household size significantly affected land use (P<0.05). Revenue per hectare was not affected by any the factors that were inputted in the model. Results from the DEA approach showed that A2 farmers (large land owners) had an average technical efficiency score of 0.839, while the lowest ranking model (A1) had an average score of 0.618. Small land holders (A1 and the old resettled farmers) are on average less cost-efficient than large land owners, with a score of 0.29 for the former compared with 0.45 for the latter. From the factors that were entered in the Tobit model, age of household head, excellent production knowledge and farmer status affected technical efficiency whereas allocative efficiency was only affected by good production knowledge, farm size, arable land owned and area under cultivation. Factors which affected economic efficiency of the resettled farmers are secondary education, household size, farm size, cultivated area and arable land owned. None of the included socio-economic variables has significant effects on the allocative and economic efficiency of the resettled farmers. Thus, the allocative and economic inefficiencies of the farmers might be accounted for by other natural and environmental factors which were not captured in the model.