Who Gets Wind? Investigating Economic Attributes of Iowa Counties Prior to Wind Turbine Development
by Karianna Klassen
Abstract
Iowa is a national leader in wind energy, producing nearly two-thirds of its electricity from wind turbines. However, the development of wind energy infrastructure across the state has been uneven—some counties host hundreds of turbines while others have none. This paper investigates whether county-level economic conditions influence the likelihood of wind turbine development. Using panel data from 1990 to 2023 and a two-way fixed effects regression framework, I examine the relationship between wind energy development and three economic indicators: farm income per capita, non-farm income per capita, and unemployment rate. I control for political affiliation, farming success, prior turbine presence, land availability, and demographic variables. Contrary to existing qualitative literature that suggests economic need drives local acceptance of wind projects, my analysis finds that these economic indicators are not statistically significant predictors of turbine development. One exception is political affiliation, which in some regressions indicates that a higher share of Democratic votes is associated with a lower probability of turbine development—contradicting national-level trends linking Democratic support with renewable energy expansion. All models have low between-county explanatory power (R² < 0.05), suggesting that factors not captured in county-level economic data—such as individual landowner decisions, developer strategies, or transmission infrastructure—may better explain wind energy siting patterns. These findings call for deeper investigation into localized, non-economic factors that shape renewable energy development, particularly as the push toward decarbonization accelerates.
Professor Jeffrey DeSimone, Faculty Advisor
Professor Michelle Connolly, Faculty Advisor
JEL Codes: O13, R11, Q42,
Keywords: Wind Energy, Renewable Development, Agriculture
Directing Development: Do One-Way Roads Inhibit Downtown Development? A Case Study of Hickory, North Carolina
by Adeleine Geitner
Abstract
In cities across the United States, residents and policymakers have passed measures to increase accessibility and walkability as a strategy for revitalizing disinvested downtowns. Alongside many of these measures, one-way roads have been reverted to two-way traffic due to their observed hindrance on walkability and pedestrian safety. In Hickory, North Carolina, planners perceive the land along the city’s downtown one-ways as less viable for development due to the speed and load of the traffic that they carry. This study observes the impact of one-way roads on the efficacy of a downtown pedestrian infrastructure plan that the city passed in 2014, aimed at increasing investment and development in the city’s downtown. It uses a difference-in-differences approach to measure how the indirect effects of this investment package are felt on one-way road properties relative to two-way road properties within the central business district.
Professor Charles Becker, Faculty Advisor
JEL Codes: R12; R58
Keywords: one-way streets; downtown redevelopment; property value appreciation; vacant land reclamation
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The Impact of Land Use Restriction on Housing Supply and Urban Form
by Brendan Patrick Elliott
Abstract
Rising home prices have led to public concern regarding housing affordability and availability. Interest in the role that land use regulations may play in reducing housing availability has been of increasing interest. While many of these regulations were initially implemented to preserve neighborhood character and promote sustainable growth, many contend that these regulations have the unintentional consequence of restricting supply and raising housing costs. Previous literature typically studies the impacts of land use regulation in individual cities or metropolitan areas, but questions remain whether these results can generalize to other cities across the country. Utilizing a two-time period panel dataset on city-level regulations across the nation, I assess whether minimum lot size, project approval delays, and impact fees cause a reduction in housing availability across cities. In most cases, increased levels of these regulations reduce housing availability in jurisdictions of medium to high population density whereas results are insignificant for jurisdictions of low population density.
Professor Grace Kim, Faculty Advisor
JEL Codes: R14; R31; R38
Keywords: Land Use, Zoning, Housing Supply
Impact of Utility-Scale Solar Farms on Property Values in North Carolina
By Megan Wang
Abstract
The aim of this paper is to investigate impacts of utility-scale solar farms on surrounding property values. Using data from CoreLogic, the Energy Information Administration (EIA), and the US Census Bureau, this study identifies a 12% statistically significant increase in sale values associated with high-income residential homes within three miles of a solar farm. However, low-income homes built near solar farms are associated with a -1.4% decrease in sale values.
As North Carolina continues to expand solar energy, specifically through photovoltaic utilities, understanding the impact of solar development on surrounding communities should be a priority and policies should aim to prevent property devaluations in low-income neighborhoods caused by solar farms.
Professor Christopher Timmins, Faculty Advisor
JEL Codes: Q42, R11
Subprime’s Long shadow: Understanding subprime lending’s role in the St. Louis vacancy crisis
by Glen David Morgenstern
Abstract
Using loan-level data, this analysis attempts to connect the events of the subprime home loan boom to the current vacancy crisis in St. Louis, Missouri. Borrowers in Black areas in the north of St. Louis City and St. Louis County received subprime home loans at higher rates during the subprime boom period of 2003-2007 than those in White areas, with differences in balloon loans especially stark. Specifically, borrowers in Black neighborhoods received subprime loans more frequently than those with equal FICO scores in White neighborhoods. As a result of these differential loan terms, North City and inner ring “First Suburb” areas saw more foreclosure and
borrower payment delinquency, which in turn were highly associated with home vacancy, controlling for other risk factors. However, foreclosure was no longer a significant predictor of home vacancy
after controlling for demographic factors and FICO score, indicating that the unequal loan terms may have driven much of the increase in home vacancy in the St. Louis area since the Great Recession.
Professor Charles Becker, Faculty Advisor
JEL Codes: R1; R3; R11; R31; J1; J15
The Impact of Access to Public Transportation on Residential Property Value: A Comparative Analysis of American Cities
By Moses Snow Wayne
This paper develops a consistent model for analyzing the impact of access to public transportation on property value applied to the four cities of Atlanta, Boston, New York, and San Francisco. This study finds a negative relationship between increasing distance to public transit and property value. Additionally, the elicited effects in each city generally align with geographic features and the degree to which a city is monocentric. This study also demonstrates the salience of using actual map-generated distances as proximity measures and characteristics of public
transit systems in modeling the relationship between public transportation and residential property value.
Advisors: Patrick Bayer, Kent Kimbrough | JEL Codes: C12, R14, R30, R41
Entrepreneurial Attractiveness: Amazon, Google, and the Search for Innovative Hot Spots
By Anna Katherine Kropf
Recent economic literature suggests that entrepreneurship in technological fields can spur economic growth, making it a popular topic for city development officials. Yet, this increasingly popular phenomenon is met by many economic questions. One of those questions is which characteristics of metropolitan areas are attractive to entrepreneurs. To answer the question of attractiveness on both the small business and corporate levels, I compare across two case studies: Amazon’s search for a second headquarters and Google’s tech hub network. Using principal component analysis, I statistically deduce seven components of attractiveness from an original 34 variables. These components are then weighted using three methods—a case study, a survey, and an empirical method—to produce comparable indices of attractiveness. Generally, I find that sizeable population and healthy economy are the strongest components. However, the statistically insignificant components that can change an urban area’s ranking considerably are talent and geographic network effects. Ultimately, creating policy to maximize these aspects can change a city’s innovative
trajectory.
Advisor: Dr. Charles Becker | JEL Codes: O, O3, R, R1, R11
Deciphering Chinese Financing To African Countries
By Gwen Geng
The paper considers what attracts Chinese aid and Chinese investment to African countries and what kinds of Chinese financing projects are more likely to have unrevealed financing amount. The main database used is AidData: China’s Official Finance to Africa 2000-2012. It contains 2356 Chinese financing projects to 50 African countries. The results suggest that Chinese aid supports less developed economies, while Chinese investment favors countries with resource abundance and political conditions conducive to profit-making. The findings show that projects with unrevealed funding amounts tend to fall under investment and the government sector among other categories, raising questions on financing secrecy.
Advisors: Robert Garlick and Michelle Connolly | JEL Codes: F13, F54, N47, N57, O24, R11, R15
The Link between Gentrification and Displacement and the Effects of Displacement on Residents in Los Angeles County
By Ashley Qiang
Over the past decades, gentrification has accelerated across the country. Along with this phenomenon comes growing concern about displacement, although limited research has been dedicated to examining gentrification’s impact on displacement. This paper studies the link between gentrification and displacement, as well as who is more likely to be displaced and the effects on the displaced. The results show that lower-income renters are significantly more likely to be displaced from gentrifying neighborhoods, and they tend to move to worse neighborhoods with lower education quality and higher crime rates.
Advisors: Chistopher Timmins, Michelle Connolly, Alison Hagy | JEL Codes: R1, R21, R23
The Impact of Suburbanization on Poverty Concentration: Using Transportation Networks to Predict the Spatial Distribution of Poverty
By Winston Riddick
The purpose of this paper is to investigate the determinants of concentrated poverty, a phenomenon where socioeconomically deprived groups are heavily concentrated in particular neighborhoods in a metropolitan area. Drawing on Land Use Theory and the Spatial Mismatch Hypothesis, I develop a theory that identifies suburbanization as a principal cause of poverty concentration. Using interstate highway expansion as a source of exogenous variation in suburbanization rates, I evaluate this relationship in 240 U.S. Metropolitan Statistical Areas (MSAs) from 1960-1990, with concentrated poverty measured at the tract level. Panel regressions with MSA Fixed Effects find a positive and significant relationship between highway expansion and increased poverty concentration under a variety of specifications, including alternative measures of highways and an instrumented measure of urban population decline.
Advisor: Charles Becker, Michelle Connolly | JEL Codes: I30, J61, R13, R40 | Tagged: Highways, Poverty Concentration, Spatial Mismatch, Suburbanization, Transportation Networks
