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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Price Slides Within Cattle Markets Over Time and Space

Dickamore, Justin Edward 01 May 2015 (has links)
The production of cattle in the United State is a very large business. Production begins at the cow-calf level, where a calf is born and raised to a specific weight. This weight is the weaning weight and averages between 300-600 pounds. The calf is then typically shipped to a feedlot, where it is fed a high corn ration which increases the weight of animal quickly and cost effectively to reach a sufficient slaughter weight. Cattle production takes place primarily in 5 different geographical locations which include the North Central, Southeast, Northern Plains, Southern Plains, and West regions. Due to the relationships between fed cattle prices, feeder cattle prices and feed costs, lighter weight feeder cattle typically sell for a higher price per pound than heavier weight feeder cattle. This decrease in price per pound for heavier feeders is often referred to as a feeder cattle price slide. This study is to determine how price slides have reacted over time and space due to the relative changes in fed and feeder cattle prices and the cost of feed. Weekly data was obtained from the Livestock Marketing Information Center (LMIC) on the auction price for feeder cattle at different weights for both steers and heifers. Weekly data on the futures price of live cattle and corn were also obtained from the LMIC. To determine if feeder cattle price slides had changed over time, regression analysis was used to evaluate the relationship between feeder cattle prices at varying weights with the price of fed cattle and the price of corn. Two different time periods were used for the same location: the first period was from 1992 to 1996 and the second period was from 2005 to 2015. Price slides were also examined across space. There were five different geographical locations analyzed: Oklahoma, Nebraska, Georgia, Kansas, and Montana. Each region was regressed individually and then compared. Prices slides were calculated as the difference in the regressed feeder cattle price at each weight. A combination of the time and space was used to evaluate changes in the same model. Results from the regression models returned feeder cattle prices at varying weights for steers and heifers and price slides were calculated from those estimated prices. It was found that price slides are not constant over time and that price slides are geographically specific. In the third objective, it is shown that time and space are both factors in determining price slides for feeder cattle. The implications of this study are to help cattle producers be more aware of market conditions specific to changes in feeding cost. It is also to make aware that price slides are not constant over time and space and therefore, must be reevaluated on a consistent basis.
12

Determinats of market participation and profitability for smallholder nguni livestock farmers : implications for food security and livelihoods in the Limpopo Province

Nkadimeng, Mapule Valencia January 2019 (has links)
Thesis (M.Sc. (Agricultural Economics)) -- University of Limpopo, 2019 / Livestock production is the most important sub-sector in agriculture in South Africa. It contributes a very large proportion to the agricultural gross domestic product. It has been identified as the sub-sector that has potential in improving food security and livelihoods of the rural people. The current study analyses the determinants of market participation and profitability of IDC Nguni smallholder farmers in the Limpopo Province, South Africa. The aim of the study was to contribute to the body of knowledge that exist in the study area, particularly of Limpopo Province livestock marketing by analysing determinants of market participation and profitability. The primary data were collected using structured questionnaires. All IDC Nguni Project beneficiaries (62 famers)were included in the survey. Descriptive data were analysed using Version 23 of SPSS. The logistic regression was used to analyse market participation data, multiple regression was used for profitability data and livelihood model for assessing the contribution of the project to livelihoods. The models were analysed using Stata 14. The results revealed that 59% of the respondents participated in the market and 41% of respondents did not participate. The study revealed that 54% of the respondents indicate that market access was easy and only 38% of respondents indicated that market access was not easy and 8% of respondents revealed that they do not know how the market access was because they were not yet selling. Seventy percent of the farmers perceived their livelihoods being improved after joining IDC Nguni Cattle Project whereas 23% of the farmers perceived their livelihood not improve after joining IDC Nguni Cattle Project. Gross margin computation showed that 52% of the farmers made gross margins ranging between R2 000 and R481 200 during the 2015 production/marketing season. The overall gross margins showed that 46% of the farmers made loss ranging from R7 300 to R170 500 during the 2015 marketing season, and 2% of the smallholder farmers were operating break-even point. The average gross margin for Community Property Associations was R6 031 while for individual farmers it was R16 082. The decision making process, for example to sell vii livestock, may be complex in the CPAs and hence a higher gross margin results for individual farmers than for CPAs. Thirty-six percent of CPAs made a loss, while 49% of individual farmers also made loss during 2015. The results of logistic regression showed that marital status, education level, loan repayment, price of an animal and household income were all significant factors (at various probability levels and with different signs), influencing market participation in the study area. A multiple regression model revealed that empirically the herd size, farm size and distance travelled to the market were significant at various probability levels and with different signs influencing profitability in the study area. Livelihood model results revealed that recent increase in farm income and farm size were all significant at different probability levels and with different signs influencing smallholder farmers' livelihood improvement in the Limpopo Province. The study identified some challenges faced by smallholder farmers in Limpopo Province. The major ones were inadequate access of market information, high transactional costs, poor conditions of the animals and poor access to markets. Policy makers should come up with policies that support the smallholder farmers with formal training, seminars and workshops to improve profitability of the farmers. Basic training of production and marketing may enable the smallholder farmer to increase profits. Other recommendations were formation of farmers' organisations, access to financial resources and private-public collaboration to establish central selling points. / Department of Science and Technology-National Research Foundation (DST-NRF) Centre of Excellence (CoE) in Food Security and National Agricultural Marketing Council (NAMC)
13

Analysis of socio-economic factors influencing informal and formal market participation by beef cattle farmers in Makhado Local Municipality, Limpopo Province, South Africa

Sivhiya, Mulalo Penenia January 2022 (has links)
Thesis (M.Sc. Agriculture (Agricultural Economics)) -- University of Limpopo, 2020 / The purpose of this study was to analyse socioeconomic factors influencing formal and informal market participation by beef cattle farmers. Cattle production plays an important role in the provision of food worldwide. It important for farmers to participate in the market to improve their income and livelihood. Globally, it was discovered that livestock production contribute value to the economic development of various countries. Ethiopia is one of the countries that generate more income from the livestock production. In the study area farmers participate in the lower level of market participation. They sell at informal market than formal market because of insufficient market channel. The farmers seldom sell since their sale depends on the availability of the market. Hence it was important to analyse socioeconomic factors influencing informal and formal market participation by small-scale beef cattle farmers at Makhado Local Municipality. The aim of the study was to analyse socioeconomic factors influencing informal and formal market participation of small-scale beef cattle farmers in Makhado Local Municipality. The objectives of the study were to identify, describe the socioeconomic characteristic of beef cattle, determine the level of market participation of the beef cattle and analyse the influence of socioeconomic factors in the participation of the beef cattle farmers in both the formal and informal market in Makhado local municipality. Structured questionnaires were used to interview 82 cattle farmers who participate in both informal and formal markets. Descriptive statistics were used to analyse socioeconomic characteristics of the cattle farmers. The logistic regression model was used to analyse factors that influence the participation of small-scale cattle farmers in both formal and informal markets. Lastly, market participation index tool was used to analyse the percentage of each farmer’s participation in different markets. The descriptive statistic results were showing men dominating participation in the market than women. The findings illustrate that farmers participating in the market were mostly pensioners who depend on social grant. Most of them are married and v have low level of education. The study also revealed that most beef cattle farmers are engaged in cattle farming for the purpose of sale instead of consumption. The logistic regression model results shows the coefficients for the independent variables such as gender, family size and farming experience to be significant at 1%. Age, marital status, monthly income, and distance to the market were found to be significant at 5%. Membership association were found to be significant at 10%. Educational level, extension services as well as the market information were found to be insignificant. The market participation index tool results revealed that the participation of beef cattle farmers in level 1 was 74.39%, level 2 18.29%, level 3 3.66% and lastly, in level 4, it was 3.66%. Additionally, the study revealed that only 1 farmer had a minimum score of participation of 3 and another farmer scored the highest participation of 23 out of all 82 farmers who participated in different market channels namely, homestead, village market, auctions, town market and fresh produce market. The study indicated various constraints faced by cattle farmers in both formal and informal markets. However, for a farmer to be a full participant all farmers should be able to participate in all the above-mentioned market channels. Additionally, for a farmer to increase his/her level of market participation, there is a need for each farmer to sell many cattle per year in different marketing channels mentioned above. It is also vital to increase the cattle productivity and to decrease identified constraints that negatively influence market participation of beef cattle farmers. Furthermore, constraints influencing market participation of beef cattle farmers need to be addressed to increase the sale of cattle by farmers. This requires assistance by both government and non-governmental stakeholders. Government stakeholders include extension officers, agricultural experts and veterinaries, while nongovernmental stakeholders include meat quality experts, agricultural cattle commercial farmers, and cattle farm managers. / Department of Agriculture, Forestry and Fisheries

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