<p>The overarching theme of this research is about environmental microplastic pollution, and how much various entities are willing to sacrifice economically to obtain a cleaner environment. To gauge such willingness, this research utilizes various economic measures that have been widely used, albeit with novel modifications. The focus of this research is on stated preferences about microplastic pollution. The topic of microplastics is still very novel, and market players on the demand side or on the supply side have yet to provide products that deal with this new pollutant. This lack has necessitated the need for stated preference research. This research delves into this novel environmental problem from various viewpoints.</p> <p> Chapter 1 of this research is about how much the US adult population is willing to sacrifice to obtain an environment that is less impacted by microplastic pollution. The results show that US adults in general possess a willingness to obtain an environment free from microplastics. However, a sizable minority of US adults do not show such willingness as well. Such results remained true even when information about microplastic pollution were provided to all respondents before preference elicitation. </p> <p> Chapter 2 investigates how much consumers in different countries will diverge about their willingness to pay for seafood that has less microplastic contamination. The countries chosen differed widely in their seafood consumption habits. Thus, it was hypothesized that such differences will lead to contrasts in their willingness to pay for less contaminated seafood. The hypothesis was found to be true but not in the way that was expected. The results show that frequent consumers of seafood had less willingness to pay when compared to others, although in whole all consumers showed willingness to avoid microplastics in their seafood. </p> <p> Chapter 3 makes use of the same data as Chapter 2 but looks at possible reasons for the disparity in responses besides factors explored in Chapter 2. Chapter 3 focuses on the cultural differences to explain the differences in behavior. To do so, it utilizes the Value-Belief-Norm theory widely employed in past research but modifies it to account for a form of hypothetical bias. The research delves into the relationships between many factors of interest that affect environmentally friendly consumption behavior and the findings show that a certain cultural tendency is central to such behavior, at least for microplastics. </p> <p> The research has done its best to research into the economic relationship between microplastic contamination of the environment and how much various individuals are willing to sacrifice to obtain an environment that is less impacted by such pollution. The findings here show that there is room for improvement in the way the microplastic pollution problem is being handled. However, in all settings the results show that a sizable majority want to be less impacted by microplastic pollution, a key takeaway for all interested parties.</p>

<p>Chapter 1: Currently there is no hunting or trapping season on bobcats in Indiana. While a season is being considered by wildlife administrators, there is no basis for establishing a price or understanding potential demand for this species. We use contingent valuation to estimate furbearer hunter and trapper willingness-to-pay (WTP) for a hypothetical bobcat harvest permit in Indiana, USA. Using a mail survey of 2000 randomly selected Indiana registered hunters and trappers, we presented respondents with a description of a hypothetical harvest season, including season dates, equipment restrictions, check-in procedures, counties open for the legal harvest, bag limit (the number of animals that can be legally harvested per individual), and statewide quota (the number of animals that can be legally harvested in aggregate). Following the description, respondents were asked a single-bounded dichotomous choice question about purchasing the proposed permit. By applying the Turnbull estimation method to our collected data, we estimate mean WTP of $21.73 for the proposed permit. Our estimates are sensitive to scope effects, which may be linked to perceived congestion: if hunters believe the bag limit may not be filled, WTP may actually decrease with the bag limit due to perceived congestion, necessitating the simultaneous examination of the bag limit and statewide quota.</p> <p><br></p> <p>Chapter 2: One Health initiatives employed by the Centers for Disease Control and Prevention place emphasis on the interconnectedness of animals, people, plants, and the environment. As new disease threats emerge, the interactions of humans and animals with their environments becomes increasingly important. Deer represent a large, prolific, and suitable host for several diseases that are potentially threatening in the One Health context. Previous works have studied deer-related diseases, such as Bovine tuberculosis and Lyme Disease, and examined risks of transmission in households of varying compositions, such as with and without pets or children. However, research quantifying public perceptions of deer and their role(s) in modern society is lacking. Our research applies social media listening to study perceptions of deer among the general U.S. population through volume (number of mentions) and assessment of tone, in terms of positivity versus negativity (analyzed as online media net sentiment). We study media about five prominent deer-related diseases from January 2018 through December 2021 and demonstrate that while aggregate mentions of the deer diseases we study compose a small proportion of total mentions for deer, net sentiment surrounding outbreaks reflects the seriousness of the health consequences these present. Additionally, we explain fluctuations in deer-disease mentions and net sentiment through real-world events, and demonstrate seasonality in mentions and net sentiment for some diseases of interest. Better understanding of public perceptions of the roles of wildlife, particularly deer who are generally perceived as non-threatening wildlife, is particularly important in today’s One Health context.</p> <p><br></p> <p>Chapter 3: The presence of deer in shared environments with humans may result in both positive and negative affinity towards deer. While literature shows deer-related damages to humans and their property, literature also suggests that deer are a way for humans to connect with nature. Managing deer populations is vital to balancing the positive and negative impacts of deer. Currently, hunting is the most cost-effective way to manage deer populations. We are interested in how hunting impacts the affinity for deer, in addition to how the COVID-19 pandemic plays a role in the perception of deer. Online media posts were analyzed using a social media listening platform, NetBase, for the time period of January 1, 2018 to December 31, 2021. Volume of mentions and affinity via net sentiment were collected at the state level on a weekly basis, and the national level on a daily basis. We utilize an OLS regression with dummies for deer hunting season and COVID at the state level to determine the impacts of hunting seasons and the pandemic on net sentiment. We find that deer hunting being open negatively impacts net sentiment of deer. We utilize Pearson correlations to study the impact of deer management via OTC deer hunting privilege issuance in relation to affinity for deer. We find that OTC privilege issuance is positively correlated with affinity for deer in some states, but the impact on affinity may diminish over time.</p>

The following study assesses whether an economic relationship exists between the money supply (i.e. M2), interest rates, and the exchange rate and the retail food price level in the United States. Data for the M2 classification of the United States money supply, the Effective Federals Funds (interest) Rate, and the United States Trade Weighted Exchange Index: Major Currencies for the period from January 1974 through December 2007 are evaluated as they relate to the United States Consumer Price Index for all Urban Consumers: Food for the same period. The statistical analysis involves an examination of the autocorrelation and partial autocorrelation functions of each variable, a test for the presence of stationarity in each variable(Augmented Dickey-Fuller test), Johansen’s test for co-integrating equations of the variables considered, Granger’s test for causality, and finally an estimation of regression models of United States retail food prices as a function of the money supply, interest rates, and exchange rates. Results indicate that a statistically significant relationship exists among the variables tested. A causal relationship exists between the Federal Funds Rate and the money supply, the money supply and the retail level of food prices, and also between the exchange rate and the retail level of food prices. The implications of the results are assessed through the lens of agricultural producers and processors, investors, lenders, consumers, and monetary and agricultural policymakers. Keywords: retail food prices, money supply, Federal Funds Rate, exchange rate, augmented Dickey-Fuller, Johansen’s test for co-integration, Granger causality

<p>1st essay abstract:   </p> <p>This study investigates the economic rents of the wind energy industry in the U.S. and their economic impacts on local economies, using Benton and White counties in Indiana as study regions. By calibrating a partial equilibrium model using 2007-2010 data of the industry, we find a resource rent of $9.72/MWh. We then use a general equilibrium model with Dutch Disease features to study the optimal tax levied on this rent, and the economic impacts of redistributing the tax revenues back to the county residents. An exhaustive rent tax increases real county personal income by as high as 9.1% and as low as 2%, depending on the county’s features. Applying an incentive compatible resource rent tax rate and redistributing the revenues to the county’s laborers leads to an increase of 3.5% and 16% in their income in White and Benton counties, respectively. We also perform robustness checks by allowing labor mobility between counties to examine the impacts of resource rents on the county economy under endogenous labor growth. </p> <p>1st essay data: All data acquired comes from the U.S. Census Bureau, county Quarterly Census of Employment and Wages, the National Renewable Energy Laboratory reports, the Lawrence Berkeley Laboratory, Indeed.com, news articles, and wind developers websites.</p> <p><br></p> <p>2nd essay abstract:   </p> <p>Using the Regional Energy Deployment System (ReEDS) model, we estimate the deadweight loss imposed by county-level wind power development restrictions in the form of increased electricity costs due to suboptimal siting. This is accomplished by optimizing the power system of the United States' Midcontinent Independent System Operator (MISO) from 2020 to 2050. We perform the optimization with and without land-use constraints arising from simulated potential local ordinances restricting wind power development, and under multiple scenarios reflecting different renewable portfolio standards (RPS). We find that local restrictions on wind power increase the total system cost by 0.15%-0.3% and the wholesale electricity price by 1.8%-2.7%, depending on the RPS scenario. Changes in the generation and installed capacity mixes are more substantial and depend on both the level of county restrictions on wind power, and RPS requirements, thus indicating an interaction between RPS requirements and local wind power restrictions. We also find that plausible restrictions on wind development do not pose major barriers to meeting renewable energy targets in a cost-effective manner.</p> <p>2nd essay data: All data is embedded inside the Regional Energy Deployment System (ReEDS) model of the National Renewable Energy Laboratory.</p> <p><br></p> <p>3rd essay abstract:   </p> <p>The USDA promotes adoption of conservation practices beneficial for soil health and environment through agricultural cost-share payment programs such as EQIP or CSP. Although the efficiency of these programs has been evaluated through additionality estimates, which represent the percentage of farmers who would adopt a practice only with payments, the potential complementarities between certain combinations of practices have often been overlooked. Unaccounted for, these complementarities may impact additionality estimates. This paper provides a thorough investigation of additionality estimates of common practices, including no-till, nutrient management and cover crops, accounting for potential complementarities between them. We find no significant differences between traditional additionality estimates and estimates accounted for potential complementarities between the three practices. The results thus indicate that despite agronomic evidence of synergies in co-adopting these three practices, we find no solid indication of adoption complementarity between them in reality. </p> <p>3rd essay data: Data is acquired from the U.S. Department of Agriculture and Esri maps.</p>

No description available.

High levels of Enterococcus are the most frequent reason for beach closures on the Mississippi Gulf Coast and can be made worse by human activities. When beaches close, tourism can decrease, affecting sales. This study aims to 1) analyze the regional economic impact of beach closures at the county level, 2) show empirically how serious the impact of high levels of Enterococcus are compared to other causes of beach closures, and 3) discuss the policy implications for regional economies linked to beach closures. I use a response function approach with beach closure and county-level monthly gross taxable sales data. Results indicate that Enterococcus-related beach closures have significantly negative effects on sales, particularly in the Accommodations and Food Services sector. The effects of bacteria-related beach closures are not much different than effects of other causes of beach closures. The results support policy recommendations for reduced beach grooming and improved sewer infrastructure.

The federal crop insurance program provides crop insurance for millions of acres and many commodities every year. The Risk Management Agency of the USDA is responsible for determining the premium rates for these covered commodities. Currently, the quality of soil is not considered when determining baseline yields and expected premium rates. This study utilizes the moment-based maximum entropy method to assess the effect of incorporating soil in the rate making methodology. Several moments of upland cotton yield in Arkansas, Mississippi, and Texas are conditioned on weather, irrigation, and soil control variables. Ultimately, I find evidence of mispriced premium rates for counties in all three states for both irrigated and non-irrigated upland cotton yield.

California is headed into its fifth consecutive year of drought, and climate change is expected to bring more frequent and severe droughts to the state. The state’s water supply is susceptible to drought as seen from the effects of the current dry period. Besides the clear impacts of drought, there are less obvious environmental, economic, and social costs, such as land subsidence from groundwater overdraft, and the consequences of urban tree and green space loss. As a uniquely climate-independent source, desalinated water can stabilize California’s water supply and lessen some of these drought-related impacts. Although seawater desalination is touted as the most costly and energy-intensive method for augmenting water supply, if implemented in a feasible manner, the technology provides a range of positive benefits for drought-prone California in the long term. This thesis analyzes the economic and environmental costs of using desalination to mitigate the effects of drought in California. The thesis explores both Australian and Californian desalination facilities as case studies for evaluating the benefits and impacts of using different methods of desalination, in an effort to determine which method would be the most beneficial for securing California’s water supply. It concludes that lower-capacity, flexible desalination facilities would be useful along California’s coast, under some conditions. By generating a supply of desalinated water for coastal communities, more water from the state and federal water projects could be redirected to agricultural regions and inland communities that suffer the most from dry spells, and thereby lessen a number of drought-related environmental, economic, and social consequences.

Globalization is recognized as a world-encompassing phenomenon, even as its benefits are debated. Sustainability, the capacity to maintain high standards of living through generations, is at stake. This paper examines the problems of sustainability with globalization from several perspectives. High statistical correlation between indices of globalization and environmental degradation (r2 = 0.977, p < .001) is found using multi-dimensional scaling software. The socially destabilizing, culture flattening effects of globalization are examined, and the terms ‘nationalism’ and ‘terrorism’ are defined. On the basis of its medial position among the indices of both globalization and environmental degradation, Chile is explored in a case study of the interaction. Conclusions regarding Chile’s vulnerabilities are reached, and the country’s environmental, social, and economic ‘weak spots’ are identified. The ethical positions of globalization and sustainability are considered, and the conclusion that there is very little that can be done to alter the nature of the interaction is drawn. It is suggested that globalization minimizes the prospects of success in efforts toward sustainability by maximizing vulnerabilities among sustainability’s components.

While previous studies have investigated country-of-origin effect from various angles, it remained unexplored the extent to which Country of Origin Labeling (COOL) affects U.S. beef imports from specific countries. Using choice-experiment data, willingness to pay (WTP) for Australian, Canadian beef in addition to other enhancement attributes were estimated with a Mixed Logit Model and a Latent Class Model. The results revealed unobserved taste heterogeneity and important differences in the WTP between the imported and domestic steak. The Latent Class Model estimated the range of discount needed for consumers to switch from U.S. to Canadian steak was a range from $1.09 to $35.12 per pound. Results from the Mixed Logit Model reiterated strong domestic preference. Significant positive WTP for BSE-tested, traceable, and tenderness-assured beef were also observed. In addition, perceived risk theory was utilized to explain the difference in WTP for domestic and imported beef. The psychometric method proposed in Pennings et al. (2002) were adopted, which disentangled perceived risk into risk perception and risk attitude. Using a mixed logit model with error component specification, the result revealed a strong link between risk perception and risk attitude towards consumer choice of country-of-origin labeled beef. Specifically, we found that perceived risk factors have a stronger impact on imported beef than domestic beef, which could partially explain consumers’ aversion towards imported beef. Lastly, the perceived risk framework was expanded to explain variation in the WTP for traceable and BSE-tested beef. The results indicated significant and non-linear impact from risk attitude and risk perception to WTP for the attributes. In addition, BSE-concern, and perceived level of control agribusiness has on food safety significantly influenced WTP for traceable and BSE-tested beef.