Master of Science / Department of Agricultural Economics / Hikaru H. Peterson / Alexander E. Saak / Notable changes are occurring in the U.S. organic food sector. First, the U.S. organic food system is increasingly relying on imports, because the expansion in the organic production has failed to satisfactorily meet the rapidly growing demand for organic foods. Second, the “locally grown” concept has become appealing to consumers, with some evidence of consumers switching from certified organic foods to local, conventional foods. Third, organic food has penetrated the mass-market channel, and organic foods are no longer being sold exclusively in natural product stores. And fourth, the social and environmental awareness among consumers is increasing. Thus, consumers are also willing to pay a price premium to support small farmers. To understand how these changes are affecting the demand for organic foods, this study used survey data to assess U.S. consumers‟ preferences for fresh organic apples that are sourced from various places and from supply chain operations that vary in scale. The survey was administered via the Internet to a random sample of 285 households across the U.S through a research company. Choice experiment was selected as the valuation method. Results indicate that among the levels of the location attributes, the “locally grown” label was associated with the highest average WTP. The “regionally grown” was the second most preferred, “U.S. grown” the third, and “imported” the least. The “locally grown” label was valued higher than the “certified organic label”. Also, consumers were willing to pay a higher value for apples produced on a small farm compared to those from a large farm. However, they did not distinguish the type of retail outlets where apples were offered. The analysis incorporating the effects of consumer characteristics suggest that the perceived importance of public benefits impacted the values of origin attributes more than the private ones; the type of retail outlet attributes became significant among certain gender and age segments; and the value of small farm attribute increased with consumers‟ income. Finally, results from a theoretical model suggest that the variability in the WTP obtained among the origin attributes could be explained by the reputation of product quality depending on their origin.

Master of Science / Department of Agricultural Economics / Ted C. Schroeder / Newer marketing techniques and production technologies have made large amounts of data available in fed cattle production that previously were not available to the cow-calf producer. The application of this data in breeding and management practices has only begun to be evaluated. This research used individual records, taken from birth to slaughter, on 6,360 calves from a single cow-calf producer who retained ownership of the calves through a custom feed yard and marketed them in a grid system. Using this information, four major topics were analyzed; identifying profitability drivers among animal characteristics, assessing weaning weight as a predictor of finished performance, utilizing lifetime performance of calves to evaluate cow productivity, and quantifying the effects of illness on cattle efficiency and carcass quality. The main profitability driver was hot carcass weight, while avoiding quality and yield grade discounts was also imperative to returns. Weaning weight did not prove to be a highly accurate tool to predict the finished quality and profitability of an animal. Evaluations of cow performance based on calf productivity were accomplished, accounting for all variation possible, however since sires were not known these performance evaluations may not be capturing an accurate picture of maternal influence on calf genetics. Performance evaluations can still be useful, but it is suggested that they not be the basis for all culling and replacement decisions. Evaluating calves based on the age of their dam highlights a peak in performance in most all measures when a cow is 7 years old. Illness in the feedlot linearly affected Net Return in a negative fashion and also negatively influenced Return to Ranch. This was mostly related to losses in efficiency, but also losses in hot carcass weight and dressing percentage in highly treated animals.

Master of Science / Department of Agricultural Economics / Jeffery R. Williams / This study examines the economic profitability of reduced-tillage and no-tillage systems for corn, soybeans, and grain sorghum production in annual rotation with winter wheat, and monoculture wheat and grain sorghum in south-central Kansas. Net returns to land and management per acre for each of 13 production systems are calculated several different ways. Net returns are calculated using the 10-year average yield for each crop, the average crop price from 2009, and 2009 input prices. A distribution of net returns is also calculated using the actual historical yields and crop prices from 1997 to 2006 and 2009 input prices. This process is repeated, except average crop prices from 2006, 2007, 2008 and 2009 are now used. Finally, net returns are calculated using simulated yield and price distributions based on actual historical yields, four historical monthly price series, and 2009 input costs. Overall, the reduced-tillage wheat-soybean systems (RTWS) have the greatest net returns for each of the net return distributions. No-tillage wheat-soybean (NTWS) generally has the second highest net returns. Stochastic Efficiency with Respect to a Function (SERF) is used to determine the preferred management strategies under various risk preferences. SERF analysis indicates that RTWS is the system most preferred by all producers, regardless of their level of risk aversion. NTWS is typically the second most preferred system to RTWS. Using historical annual prices for 1997 to 2006 and the simulated monthly prices series for 2006 to 2009 and 2007 to 2009 to calculate the net return distributions, managers with higher levels of risk aversion prefer reduced-tillage wheat-grain sorghum (RTWG) over no-tillage wheat-soybean (NTWS). Sensitivity analysis shows that as the price of glyphosate falls, no-till systems become relatively more profitable. SERF analysis using the historic yields, 2006 to 2009 simulated monthly prices, and 2009 input costs with reduced glyphosate prices indicate that NTWS would be the system most preferred by producers at all levels of risk aversion. RTWS closely follows NTWS as the next preferred system with those conditions also for all levels of risk aversion.

Master of Agribusiness / Department of Agricultural Economics / Michael W. Woolverton / A business plan serves two main functions: One is to provide a set of guidelines and expectations for running the business and the other would be to request funding from either a traditional or non-traditional lending source. Most business plans consist of the executive summary, business description, market analyses, management team, operations, and financial projections. Stephenson Enterprises is in the process of obtaining funding for a start-up business that will manufacture a biodegradable low cost substitute loose-fill packaging material. Due to the relatively high cost of this start-up, external funding is necessary. The first choice is to approach a large bank with the business plan, secondary choices if necessary would include smaller banks. The third choice would be alternative funding such as nonprofit organizations that provide start-up funding, however many of these are limited in the amount they lend. In order to garner funding for this entrepreneurship, it was decided that a business plan was needed. A business plan has two primary functions. One function is to set forth some guidelines as to how a firm is operated as well as what is projected. The second, and perhaps most often the reason a business plan is developed is to secure funding from a financial institution. Within the business plan a myriad of financial data was gathered to include: financial analysis, financial projections, cash flow, balance sheet, break-even analysis, sales proforma, income statements and sensitivity analyses. In addition to the financial data, a market analysis was conducted to provide insight into the local market. This business plan will not only provide an estimate of financials but will also serve as a guide book for operating the business.

Master of Science / Department of Agricultural Economics / Christine Wilson / Allen Featherstone / The objectives of this thesis are to examine the banking strategy of Kansas farmers and to analyze the determinants of lender choice among Kansas farmers. To meet these objectives, econometric analysis was used to examine the financial characteristics of the farm that affect the number of banking relationships and the probability a farmer has a loan with a respective lender. The financial characteristics include variables representing the solvency, liquidity, and profitability of the farm. To analyze banking strategy, a poisson model was estimated to determine how the financial characteristics of the farm affect the number of banking relationships used by the farmer. The solvency, liquidity, and profitability of a farmer was analyzed to examine how these measures affect how many banking relationships the respective farmer has. Additionally, a panel data fixed effects model was used to analyze how the number of banking relationships affects the net farm income of the farm. To analyze the determinants of lender choice for Kansas farmers, six probit models were used to determine how farm and financial characteristics, including dollar amount of inventory for certain assets and dollar amount of loans, affect the probabililty the farmer has a loan with the respective lender. A Heckman selection model was used to further analyze the dollar amount of loans a farmer has with a respective lender using information from the probit models. Results of the study show that the higher the debt to asset ratio the farmer has, the more banking relationships the respective farmer has. It was also found that the amount of inventory for certain asset classifications, dollar amount loans, and the financial characteristics affect the lender the farmer chooses to use.

Master of Agribusiness / Department of Agricultural Economics / Vincent Amanor-Boadu / The purpose of this research was to develop a decision tool to identify and rank potential locations for making a greenfield investment in flour milling. The driving characteristics of the tool developed are transparency, reproducibility, specificity and clarity. Currently, the approach to selecting countries in which to invest is driven purely by ad hoc frameworks that often lack the characteristics driving this investment index tool. The investment index was designed to have three main components: market conditions, economic environment and supporting infrastructure. Market conditions for the product of interest – in this case flour – were defined to encompass per capita wheat-based food consumption growth rate, wheat production versus wheat consumption and wheat flour imports growth rate. The economic environment was defined to incorporate the growth rate of per capita gross domestic product, corporate tax rate , labor productivity, foreign direct investment growth rates, position on the World Bank’s Doing Business 2012 rankings, and the number and extent of the country’s membership in regional economic and trade groups. Supporting infrastructure included electricity reliability, transportation quality, urbanization rate and the physical presence of the investing company in the country. The rationale for this last variable is that when the investing company already has a presence in the country under consideration, it has already incurred some of the hurdle costs that it would have to include in investments in a location where it does have current physical activities. The study started by filtering the scope of potential opportunities by a set of well-defined criteria: target geographical locations; Doing Business 2012 scores; and quantity of wheat flour imports in 2009. This led to four countries emerging as leading candidates for investment considerations: Brazil, Malaysia, Indonesia and Thailand. The investment index ranked these countries according to their relative suitability for investment. The three components of the index carry different weights because of their effect on the potential investment outcome. There is no data to support these weighting and therefore executives must utilize different probing approaches to weight the components. To this end, a base scenario and two other scenarios based on alternative weights were considered. The robustness of the ranking is revealed by the consistency of the rankings under the alternative weights applied to the components. The results showed that under the base scenario Malaysia had the highest investment index score. The results also showed that varying the alternative weights for the scenarios did not affect the overall outcome with Malaysia leading with the highest overall index score for each of the three scenarios.

Master of Science / Department of Agricultural Economics / Andrew Barkley / This study examines the effect of extreme climatic conditions (drought, flood, and bushfires) on the livelihood of households in the Bawku West district of Ghana. The research identified the mechanisms with which households cope in such situations, and analyzed factors influencing the adoption of coping strategies for flood, coping strategies for drought, and coping strategies for bushfires. Data for the study were collected in selected villages across the district in the aftermath of the 2007/2008 extreme climatic events (a prolonged drought period followed by an erratic rainfall). A binary logit regression (BLR) model was then specified to estimate factors that influence the adoption of a given coping mechanisms. Results from the BLR model indicate that literacy level, membership with an FBO, household income, and location of households had positive and significant impacts on adaptation to drought. Similarly, source of seeds for planting, membership with an FBO, household income, and farm size had positive significant influence on adaptation to flood. Adaption to bushfire was positively influenced by radio ownership, seed source and income. The main effect of these climatic extreme events on households included destruction of crops, livestock and buildings; food and water shortage; poor yield or harvest and limited fields for livestock grazing. Therefore, government policies should be geared towards creating revenue generating channels and in strengthening institutions that provide access to farm credit, readily available improve seeds and extension. Additionally, policies that expedite information dissemination through radio and other public media will enhance households’ adaptive capacity.

Doctor of Philosophy / Department of Agricultural Economics / Jason S. Bergtold / The adoption of new technologies on-farm is affected by socio-economic, risk management behavior, and market factors. The adoption of cellulosic biofuel feedstock enterprises and conservation practices plays an important role in the future of Kansas agriculture. No set markets currently exist for bioenergy feedstocks and farmers may be reluctant to produce the feedstocks without contracts to mitigate uncertainty and risk. Adoption of conservation practices to improve soil productivity and health may be affected by risk considerations also. The purpose of this dissertation is to study how market mechanisms and risk influence Kansas farmers’ willingness to adopt cellulosic biofuel feedstock enterprises and conservation practices on-farm. The first essay examines farmers’ willingness to grow switchgrass under contract using a stated choice approach. Data were collected using an enumerated survey of Kansas farmers and analyzed using latent class logistic regression models. Farmers whose primary enterprise is livestock are less inclined to grow switchgrass. In addition, shorter contracts, greater harvest flexibility, crop insurance, and cost-share assistance increase the likelihood farmers will grow switchgrass. The second essay examines how farmers’ risk perceptions impact conservation practice adoption. Factor analysis of survey data was used to identify primary risk management behaviors of Kansas farmers. A multinomial logit model of conservation practice adoption incorporating these risk behaviors was developed. Estimation results indicate that different risk management factors may have no significant impact on practice adoption. Farmers may not consider certain aspects of risk significant in their adoption decision. The third essay examines the effect of different risk management behaviors on farmers’ willingness to produce alternative cellulosic bioenergy feedstocks under contract. Data were collected using a farmer survey with a set of stated choice experiments and analyzed using factor analysis and latent class logistic regression models. While farmers approach risk management differently, the risk management behaviors identified have no significant impact on farmers’ willingness to produce corn stover and switchgrass but have a negative impact on farmers’ willingness to produce sweet sorghum as a biofuel feedstock. These results may indicate that farmers are indifferent toward adopting new bioenergy cropping enterprises when traditional crop production is profitable and more certain.

Master of Agribusiness / Department of Agricultural Economics / Vincent Amanor-Boadu / The objective of the research is to understand the volatility of cotton acres and estimate planted acres based on the factors that drive volatility in the United States at a regional level. Estimating cotton acres is important so that demand for cotton seed and technology can be anticipated and the appropriate investments in cotton seed production can be made. Post Multi-Fiber Arrangement, the US cotton economy has entered a state of imperfect completion which makes cotton price, ending stocks and the relationship of cotton to other crops important in understanding volatility in cotton acres. Linear Regression, Random Forest and Partial Least Squares Neural Networks (PLS NN) were used to estimate cotton acres at a US and Regional Level. The modeling approaches used to estimate change in acres yielded similar performance for U.S. total, Southwest, and West. The PLS NN was slightly better for the Delta and Southeast, where more crop alternatives exist. Random Forest offered a different perspective on variable importance in all regions.

Master of Agribusiness / Department of Agricultural Economics / Bryan Schurle / Frito-Lay is part of the PepsiCo Family which makes some of the best known and top selling snack foods around. Frito-Lay is the dominant player in the salty snack category in the United States, with a 65 percent share of the market. Frito-Lay brands include Lay's, Ruffles, Tostitos, Sunchips, Fritos, Cheetos, and Doritos. The objective of the thesis is to analyze a potential project: installing a raw potato sorting system on a potato chip line. Part of the analysis will be to conduct a net present value analysis of the costs and benefits associated with the project. Currently the line runs with one full time employee that inspects the raw incoming potatoes for foreign matter and color. Recently, technology options are available that the company could add to the raw potato sorting function that could potentially reduce employee labor costs. This research project provides information regarding the system’s investment cost, maintenance requirements, labor savings, and finished product quality impact. As the business environment changes businesses must keep up with rapidly changing technology to be able to compete. A company that is able to compete will be able to survive in the market and sustain profitability. Capital expenditures need to be evaluated and adopted if they keep a company competitive or make a company more cost efficient. The analysis concluded that the investment of installing a raw potato sorting system would be profitable, earning a positive NPV and internal rate of return greater than Frito-lay’s cost of capital. I would recommend that Frito-Lay move forward with this investment.