Integration of Satellite and Financial Data to Model Future Economic Impact of Citrus Crops (Final Project Report)

This study analyzed the health and overall landcover of citrus crops in Florida. The analysis was completed using Landsat satellite imagery available free of charge from the University of Maryland Global Landcover Change Facility. The project hypothesized that combining citrus production (economic) data with citrus area per county derived from spectral signatures would yield correlations between observable spectral reflectance throughout the year, and the fiscal impact of citrus on local economies. A positive correlation between these two data types would allow us to predict the economic impact of citrus using spectral data analysis to determine final crop harvests.

Impact of Water Supply and Sanitation on Diarrheal Morbidity among Young Children in the Socioeconomic and Cultural Context of Rwanda (Africa)

This project studied the frequency and of water contamination at the source, during transportation, and at home to determine the causes of contamination and its impact on the health of children aged 0 to 5 years. The methods used were construction of the infrastructure for three sources of potable water, administration of a questionnaire about socioeconomic status and sanitation behavior, anthropometric measurement of children, and analysis of water and feces. The contamination, first thought to be only a function of rainfall, turned out to be a very complex phenomenon. Water in homes was contaminated (43.4%) with more than 1100 total coliforms/100 ml due to the use of unclean utensils to transport and store water. This socio-economic and cultural problem should be ad- dressed with health education about sanitation, The latrines (found in 43.8% of families) presented a double-edged problem. The extremely high population density reduced the surface area of land per family, which resulted in a severe nutritional deficit (15% of the children) affecting mainly young children, rendering them more susceptible to diarrhea (three episodes/child/year).

Social service provision, efficiency labor and economic development

This dissertation provides a theory of the effects and determinants of an economy's level of social services. The dissertation focuses on how the provision of social services will affect the effort decisions of workers, which will ultimately determine the economy's level of output. A worker decides on how much effort to contribute in relation to the level of social services he/she receives. The higher the level of social services received, the lower the cost—disutility—from providing effort will be. The government provides public infrastructure and social services (i.e. health services) in accordance with the economy's endowment of effort. In doing so, the government takes the aggregate effort endowment as given. Since, with higher individual work effort the higher the economy's total level of effort, failure by workers to coordinate effort levels will result in possible instances of low effort, low social services and low output; and, other instances of high effort, high social services and high output. Therefore, this dissertation predicts that in the context of social services, coordination failures in effort levels can lead to development traps. ^

Essays in environmental economic valuation and decision making in the presence of an environmental disaster

The first essay developed a respondent model of Bayesian updating for a double-bound dichotomous choice (DB-DC) contingent valuation methodology. I demonstrated by way of data simulations that current DB-DC identifications of true willingness-to-pay (WTP) may often fail given this respondent Bayesian updating context. Further simulations demonstrated that a simple extension of current DB-DC identifications derived explicitly from the Bayesian updating behavioral model can correct for much of the WTP bias. Additional results provided caution to viewing respondents as acting strategically toward the second bid. Finally, an empirical application confirmed the simulation outcomes. The second essay applied a hedonic property value model to a unique water quality (WQ) dataset for a year-round, urban, and coastal housing market in South Florida, and found evidence that various WQ measures affect waterfront housing prices in this setting. However, the results indicated that this relationship is not consistent across any of the six particular WQ variables used, and is furthermore dependent upon the specific descriptive statistic employed to represent the WQ measure in the empirical analysis. These results continue to underscore the need to better understand both the WQ measure and its statistical form homebuyers use in making their purchase decision. The third essay addressed a limitation to existing hurricane evacuation modeling aspects by developing a dynamic model of hurricane evacuation behavior. A household's evacuation decision was framed as an optimal stopping problem where every potential evacuation time period prior to the actual hurricane landfall, the household's optimal choice is to either evacuate, or to wait one more time period for a revised hurricane forecast. A hypothetical two-period model of evacuation and a realistic multi-period model of evacuation that incorporates actual forecast and evacuation cost data for my designated Gulf of Mexico region were developed for the dynamic analysis. Results from the multi-period model were calibrated with existing evacuation timing data from a number of hurricanes. Given the calibrated dynamic framework, a number of policy questions that plausibly affect the timing of household evacuations were analyzed, and a deeper understanding of existing empirical outcomes in regard to the timing of the evacuation decision was achieved.

Sustainable rural development through alternative economic networks: Redefining relations in the commodity chain for export vegetables in western Guatemala

The current research considers the capacity of a local organic food system for producer and consumer empowerment and sustainable development outcomes in western Guatemala. Many have argued that the forging of local agricultural networks linking farmers, consumers, and supporting institutions is an effective tool for challenging the negative economic, environmental, and sociopolitical impacts associated with industrial models of global food production. But does this work in the context of agrarian development in the developing world? Despite the fact that there is extensive literature concerning local food system formation in the global north, there remains a paucity of research covering how the principles of local food systems are being integrated into agricultural development projects in developing countries. My work critically examines claims to agricultural sustainability and actor empowerment in a local organic food system built around non-traditional agricultural crops in western Guatemala. Employing a mixed methods research design involving twenty months of participant observation, in-depth interviewing, surveying, and a self-administered questionnaire, the project evaluates the sustainability of this NGO-led development initiative and local food movement along several dimensions. Focusing on the unique economic and social networks of actors and institutions at each stage of the commodity chain, this research shows how the growth of an alternative food system continues to be shaped by context specific processes, politics, and structures of conventional food systems. Further, it shows how the specifics of context also produce new relationships of cooperation and power in the development process. Results indicate that structures surrounding agrarian development in the Guatemalan context give rise to a hybrid form of development that at the same time contests and reinforces conventional models of food production and consumption. Therefore, participation entails a host of compromises and tradeoffs that result in mixed successes and setbacks, as actors attempt to refashion conventional commodity chains through local food system formation.^