Typescript.

Typescript, etc.

Thesis--PlanA (M.S.)--University of Wisconsin--Stout, 1998. / Includes bibliographical references.

Thesis (M.S.)--University of Wisconsin--Madison, 1962. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 94-97).

Thesis (M.S.)--University of Wisconsin--Madison, 1969. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Call number: LD2668 .T4 1951 B69 / Master of Science

Thesis (Ph. D.)--University of Wisconsin, 1966. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Raw product value of vegetables for processing in the Northwest used to be established by a competitive market involving proprietary processors and growers. Due to the relocation of proprietary processors to the Midwest, this competitive market has eroded forcing cooperative processors to seek other means to set raw product values. In the absence of a competitive market for raw product, cooperatives must rely on an average of last year's prices paid by processors in a given region to value raw product. This method of lagged averages may be resulting in misallocated contracted acreage to grower-members of cooperatives, and inappropriate production levels of the processed good given market conditions. Therefore, the principal objective of this research is to develop and evaluate alternative methods of forecasting raw product value. Since the market for processed vegetables at the retail level is competitive, one alternative method employed was to use a forecast of supply and determinants of demand affecting retail price to forecast raw product value. These explanatory variables were regressed against raw product values of various crops obtained from a northwest processing and marketing cooperative. The raw product values were expressed as net returns/acre to the crops under investigation. The estimated equations, which had adjusted R²'s ranging from .267 to .851, were used to forecast raw product value. A second forecasting method investigated in this study was an exponential smoothing model. Raw product value forecasts were generated over two different time horizons, identified by the cooperatives' accounting procedures. The two alternative forecasting methods were compared to each other, and to the method currently in use by the cooperative, with the aim of determining the most accurate forecasting technique. Results showed that both the econometric and smoothing approaches fit the data better over the estimation period than did a naive lagged price estimate resembling the present method in use by the cooperative. The econometric method also fit the data better than did the smoothing approach. The econometric model provided poor forecasts for the longer forecast horizon, but proved to be effective in the shorter. The smoothing technique forecasted more effectively in the longer forecast horizon as compared with the shorter. These results suggest the importance of the forecast horizon in determining the more appropriate forecasting technique. Both forecasting techniques proposed in this study produced forecasts which were more accurate than the cooperative's present method at least half of the time. This suggests that viable alternatives to the present method of establishing raw product value exist for agricultural cooperatives. / Graduation date: 1986

Call number: LD2668 .T4 1950 H35 / Master of Science

Thesis (M.Sc. Agric. (Agricultural Economics)) -- University of Limpopo, 2018 / Agriculture is the backbone and a very important sector of the South African economy. This is because it provides food and employment to a lot of people in the country especially those living in the rural areas. Smallholder farmers also play an important role in livelihood creation and also alleviation of poverty among the population in Limpopo province, but despite this, their productivity is low. A decline in agricultural productivity reduces market access resulting from low quality and quantity of produce by smallholder farmers which invariably affect their accessibility to market. This study therefore examined the determinants of market access and productivity among smallholder maize farmers in Lepelle-Nkumpi municipality using the Probit model and Cobb Douglass production functions. While the Probit regression model was used to analyse the effect of socioeconomic characteristics of smallholder maize farmers on market access, the Cobb Douglass production function was used to examine the determinants of productivity among the farmers in the study area. The results of the Probit regression analysis indicated that farm size, hired labour and maize produced per hectare had positive significant influence on probability of farmers accessing markets. Farm size and maize produced per hectare were statistically significant at 1% and hired labour was statistically significant at 5%. The results of Cobb Douglas Production Function indicated that the elasticities of market access, farm experience, fertilizers, capital and membership of association were significant and positive. Based on the study findings, it is recommended that farmers should be provided with market infrastructure and marketing information services. This will help the farmers in a way that the transaction cost will be minimised and farmers will not incur more cost when they participate in the markets. Farmers in the study area indicated that transportation cost is the major challenge facing them. This is because of the poor conditions of roads in the study area. Therefore, the study recommends that there should be inputs subsidy that helps farmers to improve their productivity.