This dissertation is comprised of three essays that investigate consumer behavior and health outcomes. The first essay uses experimental economic techniques to explore consumers' preferences and willingness to pay (WTP) for nutritionally differentiated grass-fed beef. Our findings suggest that consumers' nutrition knowledge about the functions of Vitamin A, Vitamin E, CLA, and Omega 3 could positively affect their WTP for grass-fed beef while the knowledge about the main food sources of these nutrients negatively affects their WTP for grass-fed beef. Furthermore, a higher sensory evaluation score of grass-fed beef compared to conventional beef will lead to a higher probability for a consumer to choose grass-fed beef and a higher monetary value she/he is willing to pay for grass-fed beef. Using the same experimental data collected in the first study, the second essay investigates the impacts of consumers' nutrition knowledge on their WTP by accommodating the potential endogeneity problem using an instrumental variable approach and a non-instrumental variable approach. Our results suggest the existence of the endogeneity of nutrition knowledge and indicate that ignoring the endogeneity problem in econometric modeling will downwardly bias the estimates of the true effects of nutrition knowledge. The estimates obtained from different estimation strategies in the study indicate the robustness of our findings about the effects of nutrition knowledge on consumers' food purchasing behavior. The third essay investigates the impacts of primary care giver (PCG)'s time allocation patterns and household food expenditure choices on childhood obesity using the national panel study of income dynamics data. Our results do not suggest significant impacts of PCG's labor force participation, involvement in children's outdoor activity, and household food expenditures on children's Body Mass Index (BMI). However, the estimates from iterated seemingly unrelated regression (SUR) and semi-parametric polynomial estimation indicate that parents' BMI significantly influence children's BMI. Interestingly, physical activity appears to have weak correlation with children's BMI. / Ph. D.

Yes / Personalised nutrition (PN) may promote public health. PN involves dietary advice based on individual characteristics of end users and can for example be based on lifestyle, blood and/or DNA profiling. Currently, PN is not refunded by most health insurance or health care plans. Improved public health is contingent on individual consumers being willing to pay for the service. Methods: A survey with a representative sample from the general population was conducted in eight European countries (N = 8233). Participants reported their will- 25 ingness to pay (WTP) for PN based on lifestyle information, lifestyle and blood information, and lifestyle and DNA information. WTP was elicited by contingent valuation with the price of a standard, non-PN advice used as reference. Results: About 30% of participants reported being willing to pay more for PN than for non-PN advice. They were on average prepared to pay about 150% of the reference price of a standard, non-personalised advice, with some differences related to socio-demographic factors. Conclusion: There is a potential market for PN 30 compared to non-PN advice, particularly among men on higher incomes. These findings raise questions to what extent personalized nutrition can be left to the market or should be incorporated into public health programs / EC (FW7) funded Food4me project

Farmland preservation has long been viewed by the public as a worthwhile endeavor. A public program can be set up to bring willing buyers and sellers together to facilitate the transfer of development rights. The farmer is paid for the opportunity cost of forfeiting the development rights to the land, while the general public is taxed the amount of their total benefit created by the existence of farmland. Through the data from an attribute-based choice survey (conducted in four geographic areas) the willingness-to-pay (WTP) of the public to preserve farmland that exhibited certain attributes, was estimated. The attributes included different use (grain, hay, vegetable, pasture, forest), location (near urban), quality (prime), size (varied acreage relative to geographic area sampled), and cost (varied costs from $3 to $50) components. Selection bias was tested for in order to confirm that the respondents are an unbiased representation of the geographic areas sampled. If selection bias was present, it would need to be corrected for in order to aggregate the survey results to the population of the geographic areas. Selection bias was tested for using a bivariate probit model with sample selection, a variation on the Heckman correction model. Selection bias was not significant, so the choice model was estimated using a probit model. The response was dependent on the use, location, quality, size, and cost components. Based on the parameter estimates, the geographic areas were compared using the scale parameter. A variation of the Swait and Louviere method was used to find the optimal scale parameter ratios between pair-wise geographic areas. Heterogeneity of the parameter estimates as well as heterogeneity of variances was tested. Prime farmland was significant and positive in all geographic areas, suggesting it should be included in the national ranking criteria for a farmland preservation program. WTP by household for each attribute was reported. Additionally, the WTP was aggregated to provide a hypothetical range of the monetary benefit farmland provides for the residents of each geographic area. / Master of Science

This dissertation consists of three essays studying two aspects of the interactions between agriculture and the environment: agricultural technology adoption and its environmental impacts (in the first essay), and weather shocks and their impacts on rural households in developing countries (in the second and third essays). The first essay proposes a multimarket equilibrium approach to estimating the consumer surplus for environmentally-friendly technologies adopted by farmers. Compared to conventional non-market valuation techniques based on single-market equilibrium, this new method allows for farmers' price feedback effects on consumers' willingness to pay (WTP) for those technologies. Results from an application indicate that consumers are willing to pay a premium for environmentally-friendly technologies adopted by farmers, and that the multimarket equilibrium WTP is smaller in magnitude than its single-market equilibrium counterpart. In the second essay, I develop a unitary agricultural household model to examine the impacts of rainfall variability on migration, off-farm employment and transfers in rural Ethiopia. Empirical results show that the share of out-migrated household members and per capita off-farm labor supply decrease with average rainfall in the main growing seasons, and increase with the standard deviation of average rainfall in the five main growing seasons prior to the survey. The level and standard deviation of rainfall are found to have indeterminate effects on the amount of transfers that households receive from the extended family or informal social safety nets. The third essay evaluates the effectiveness of different diversification strategies in smoothing consumption. Results suggest that adverse rainfall shock (below average rainfall) and temperature shock (above average extreme heat degree days) both negatively impact consumption. Receiving public transfers is effective in smoothing consumption against adverse rainfall shock, and participating in off-farm employment is effective against adverse temperature shock. Sending migrants to urban areas and receiving transfers from former household members or informal social safety nets are not effective against any weather shock. / Ph. D.

Thesis (M.Sc. (Agricultural Economics)) -- University of Limpopo, 2023 / The agricultural sector plays an important role in South Africa regardless of the small contribution of 1.88% it has to the GDP of the Country. Small-scale maize farmers’ decisions to adopt adaptation options in response to climate change and variability are influenced by socioeconomic, institutional, and environmental factors, indicating that decision patterns can be very specific to a given locality. The study aimed to analyse the determinants of small-scale maize farmers’ willingness to pay for changing planting dates in the face of climate change. This study had two main objectives, to identify and describe the socio-economic characteristics of small-scale maize farmers, and to determine factors influencing the small-scale maize farmer’s willingness to pay for changing planting dates in the face of climate change in Makhuduthamaga Local Municipality. The study used primary data with a sample size of 150 small-scale maize farmers. Descriptive statistics and the Probit Regression Model were employed when analysing data. The study employed purposive sampling in the data collection process and three villages were selected. Probability was proportional to sample size and was used to select the number of small-scale maize farmers for the sample frame of each village. About 58% of the sampled small-scale maize farmers were willing to pay for changing planting dates in the face of climate change, as opposed to 42% of those not willing to pay for changing planting dates. Empirical results from the analysis reported that age (10%), educational level (1%), level of income (1%), years of farming (10%), total output (1%), exposure to climate information services (5%), and use of indigenous forecast (1%) out of twelve explanatory variables were found to be significant. Based on the empirical findings of the study it is recommended that government officials together with other stakeholders such as NGOs and research institutions should invest in the education of small-scale maize farmers through knowledge systems such as (presentations, conferences, seminars, abet etc). Government policies and strategic investment plans that support improved small-scale maize farmers’ accessibility to climate information are also recommended.

Closed-loop supply chains (CLSCs) that integrate the activities for reclaiming residual values in postconsumer products with the traditional forward supply chain activities are important from financial and environmental perspectives. This thesis develops models and analyses on three topics novel to the field of CLSC research with a goal of advancing knowledge about effective decision-makings in CLSCs. In the first part of the thesis, we study joint control of stochastic forward and stochastic reverse material flows in CLSCs. With an application to a CLSC where postconsumer products are collected for warranty service purposes, we demonstrate that the benefit of coordinating two production activities could be significant. We develop a model that can be used to obtain an effective inventory control policy for coordinating forward and reverse material flows. Through Monte Carlo simulation and global sensitivity analysis, we identify major influential factors that affect system's warranty cost savings performance. The results indicate that joint control of forward and reverse material flows greatly improves warranty cost savings performance as well as system's robustness to uncertainties. The second part of the thesis develops a differential game model for characterizing decentralized time-varying competitive decision-making in a CLSC. The differential game model is particularly useful for studying time-varying interactive decision-making in CLSCs that involve many stakeholders who pursue different objectives in forward and reverse production activities. We identify optimal prices and production strategies that evolve over time under fluctuating market demand. Also, the model provides a quantitative scheme that can be used to obtain an efficient apportionment of product recovery processes. The third part of the thesis describes the relationship among consumers' risk-aversion, product cannibalization of new products by remanufactured products, and growth of CLSCs through price optimization models. Whereas price is one of the most effective variables for managing market demand, previous CLSC research has mainly focused on operational problems without paying much attention on the interface between CLSCs and markets. We develop models that jointly determine optimal prices in forward and reverse channels considering consumers' willingness-to-pay (WTP) for remanufactured products, consumers' willingness-to-accept (WTA) for a buyback price, and consumers' risk aversion to uncertain quality perceptions. The results show that consumers' active participation in CLSC is an important factor for the viability and growth of a CLSC. Also, we show that companies can benefit from product remanufacturing although it may be accompanied by production cannibalization.

As information regarding origin, production method, and environmental certifications characterize a progressing seafood market, scare analysis has been made to understand market responses. This study focuses on consumer preference for wild-caught and farm-raised shrimp with several attributes. These include the Homegrown By Heroes label and Best Aquaculture Practices certification, as well as other existing attributes including the Marine Stewardship Council and each state’s local label. Also considered are hypothetical labels including Community Supported Fishery (CSF) and National Oceanic & Atmospheric Administration (NOAA). This study surveys consumers in Kentucky and South Carolina while utilizing a choice experiment to elicit willingness-to-pay measures for these various product attributes. Both wild-caught and farm-raised shrimp are considered since these species have significant market potential. Like previous studies, a strong preference for fresh as well as local shrimp was found. Furthermore, preference for Homegrown By Heroes was found to be highly valued by consumers, as well as the NOAA label signifying a federally operated ecolabel. Consumers were also found to value BAP and MSC certifications, two third-party agencies currently existent in the seafood market. Marketing and policy recommendations are given based on consumer willingness to pay estimates for these various seafood attributes in both states.

Most research on place in retailing and marketing examines retail atmospherics, spectacular consumption, third spaces and logistics. This study lies at the confluence of retailing, marketing, and geography, and focuses on the city as the product consumed by its residents. The study seeks to examine the degree to which the retail landscape of a city affects the residents' perceived value of the city, their urban identity, and ultimately, their willingness-to-pay to live there. In order to answer this question, this study utilized mixed research methods consisting of a survey, based on several adapted existing perceived value scales; an urban identity scale; a willingness-to-pay scale; as well as archival geodata used to map the existing and perceived retail landscapes of Tucson and San Francisco–the two cities of interest in this study. These two cities were chosen because they are on opposite ends of a spectrum of US cities that includes cost of living and median income, among other variables. Results show that perceived value of the city and urban identity are very highly correlated and suggest the existence of a new construct. While the retail landscape in Tucson tends to have a positive effect on residents' affective responses to living there, there results are not statistically significant. The relatively low cost of living may play a role in these expectations. Residents accept the existing retail landscape and tend to make do with the options available. In San Francisco, because residents already pay a premium to live there, the retail landscape plays a more statistically significant role in residents' affective responses to living there. These results are important to retailers and marketers because retail expenditures form a large part of the tax revenue a city earns each year. If residents are unhappy with their retail patronage options, they may spend money elsewhere resulting in a decreased tax base from which to run the city.

The aim of this study is to quantify the social cost of air pollution in Bophelong Township. Bophelong is a dominantly Black low-income settlement located on the South-western part of the Emfuleni Local Municipality in the Vaal Triangle. In 2006 the Vaal Triangle was the first region in the country to be declared an Airshed Priority Area in terms of the National Environmental Management Act (39/2004). Economic literature reveals that there is a strong positive correlation between poverty and pollution. It is on this basis that the study provides a theoretical background to poverty and pollution. The study makes use of a Contingent valuation method to elicit respondents‘ maximum willingness to pay for the reduction of air-pollution in the area. The survey questionnaire covers three broad socio-economic categories namely, the demographic profile, labour force profile and the residents‘ attitudes towards environmental issues. The valuation part of the questionnaire makes use of an open-ended questionnaire to elicit the respondents‘ maximum willingness to pay for the reduction of air pollution in Bophelong. The mean willingness to pay for the reduction of air-pollution in Bophelong is estimated at R132 per annum. The annual social cost of air-pollution in Bophelong is calculated by multiplying the mean willingness to pay with the estimated total population. Bophelong‘s total population was estimated at 49 408. The annual social cost of pollution is thus estimated at R6 521 856. The regression analysis shows that several factors positively influence respondents‘ willingness to pay. The analysis shows that education, employment and level of income are positively correlated with the respondents‘ willingness to pay. This study indicates that there is a positive correlation between poverty and pollution. Most of the air pollution that affects the population of Bophelong is generated from domestic sources such as the burning of coal and biomass fuels for VALUING THE SOCIAL COST OF AIR-POLLUTION IN BOPHELONG TOWNSHIP heating and cooking purposes. In order to eliminate the negative impacts of air pollution on the residents of Bophelong the study recommends that authorities must begin by ameliorating the poverty situation in the area. On the main authorities must introduce measures that target domestic sources of pollution. Some of the measures that could be undertaken to reduce the impact of pollution could include: (a) encouraging residents to adopt the more cleaner top-down coal ignition method known as Basa-njengo-Magogo, (b) providing free basic electricity to poor households in the area and (c) ensuring that houses are constructed with thermal comfort in mind, as this will minimise the need for space heating particularly during winter months. / PhD (Economics), North-West University, Vaal Triangle Campus, 2013

Intensive research activities in low-income countries during the International Drinking Water Supply and Sanitation Decade (1981-1990) led to the conclusion that cost recovery is a prerequisite for the sustainability of water services provision. The challenges for cost recovery are greater in urban areas of low-income countries where, it is projected, 88% of all the increase in global population will live by 2015. In spite of these challenges, available data show that the bill collection efficiency in selected urban water utilities in Africa in 1996/97 ranged from as low as 50%. This study used empirical data, obtained through a cross-sectional survey in eleven towns in Uganda, to establish the influence of customer perceptions on bill payment behaviour. Using qualitative methods, a questionnaire was developed, pretested, piloted and refined, before it was sent to a probability sample of 690 registered customers of an urban water utility. Regression analysis of the obtained results showed that customer perceptions of technical quality, functional quality, service value and corporate image are individually strongly related to customer satisfaction. Correspondingly, service value and customer satisfaction predict substantial variation in customer loyalty, which in turn is a predictor of bill payment behaviour. Furthermore, gender, level of education, and type of occupation of the head of household, together with tenure status and household income, moderate the satisfaction/loyalty relationship. Findings of this research also highlighted the relative importance to customers of urban water utilities of such software attributes as: (i) how interface staff relate to customers during service encounters; (ii) how easy it is to transact with the utility, and (iii) the image organisational personalities project to the public. These findings have one major implication for supply-driven managers of water utilities: Similar to other services, customer orientation will improve profitability ratios in the urban water sector of low-income countries.