This article examines whether the use of impact fees and special assessments affect the level of capital spending and two major own source revenues of local capital spending (taxes and long-term debt) by analyzing a panel of 695 American cities with populations over 20,000 during the time period of 1980-2000. Since impact fees and special assessments are heavily used in a growing community and because it covers less than half the costs of new development, the findings demonstrate that the private financing of public infrastructure (impact fees and special assessments) increases the level of local capital spending. It also leads to an increase in the level of long-term debt use. Although it provides partial tax relief, it is not a strong substitute for taxes. Thus, impact fees and special assessments are not a substitute for local capital spending. It is rather a supplemental revenue source to fund local capital infrastructure.

The purpose of this study was to examine the budgeting behaviors of traditional-aged upper-division college students (juniors and seniors). Budgeting behaviors were operationally defined as students' spending and financial planning behaviors. These behaviors were studied by tracking participant expenditures and income of three weeks and administering electronic survey questions. The study was conducted at a large, public, research university, and was designed to answer the following research questions: 1. How do traditional-aged upper-division students spend their money? 2. What are the budgeting behaviors of traditional-aged upper-division students?> 3. Are there differences in budgeting behaviors between traditional-aged upper-division students who live off campus and those who live on campus? 4. Are there gender differences between budgeting behaviors of traditional-aged upper-division students? A sample of 32 college juniors and seniors who had moved directly from high school to college participated in the study. Participants tracked their expenses and income of a three-week period using computerized spreadsheets. These data were analyzed to determine participants' spending behaviors and to examine differences by gender and place of residence. Participants also responded to five electronic survey questions that investigated their budgeting behaviors. Responses from these questions were analyzed to identify themes about the budgeting behaviors of college juniors and seniors. The results of this study provided some interesting information about college students' budgeting behaviors. Several conclusions were drawn. First, students failed to budget effectively because they spent more than they earned. Across all groups, students' expenditures totaled more than their income. Second, students' comments regarding their budgeting behaviors were found to reflect either good or poor ratings. This suggests that while some students seem to have well-developed financial management skills, others do not. Third, off-campus students differ from on-campus students because they have more budgeting experience. Off-campus students seemed to have developed these budgeting skills by paying monthly bills associated with off-campus living. Finally, female students spent money on clothes and beauty items, relied on gifts as sources of income, and seemed more anxious about budgeting than male students. These kinds of behaviors may reinforce certain stereotypical beliefs about men and women. / Master of Arts

Corruption, militarism, and conflict are bedfellows, and their coexistence feeds a vicious circle of violence and instability. Every dollar spent on the military is a dollar not spent on welfare-generating services such as education and healthcare. Yet, military spending makes up a bulk of government spending in several countries, and it is often shrouded from public purview. Rent-seeking behavior fostered within corrupt practices incentivize public officials to accept bribes from military suppliers, while the secrecy surrounding defense procurements allows them to act with perceived impunity. In this paper, I conduct a quantitative study using panel data from 175 countries from 2000 to 2020 to argue that corruption causes a distortion in public expenditure distribution by diverting valuable resources from social spending to military spending. Highly corrupt countries tend to spend a higher percentage of their GDP on the military, freeing up less of the finite resources for investment in education and healthcare. I find that corruption drives up military spending causing a crowding out of social spending.

There is an extensive body of literature exploring the way in which a variety of factors affect a person's attitudes towards abortion. There is significantly less research, however, on the way in which a person's attitude towards abortion affects their attitudes towards other issues. At the same time, there is evidence to suggest that a growing number of people are using their "pro- life" stance on abortion to influence their stance on other issues that revolve around the quality and sustenance of life, and that Generation Y may be more liberal than previous generations on most, if not all, issues. This research seeks to explore the extent to which "pro-life progressivism" may have affected Generation Y with two sets of logistic regression analysis. The first analysis looks exclusively at members of Generation Y, and explores the effect of a person's attitudes toward abortion on their attitudes towards government spending on childcare, assistance to the poor, and healthcare. This is to see if there is a difference between pro-life and pro-choice members of Generation Y in the way they approach other issues relating to the quality and sustenance of life. The second analysis compares pro-life members of Generation Y to older cohorts. The results show that attitudes towards abortion among members of Generation Y had no effect on their attitudes towards childcare and healthcare. Furthermore, the attitudes of pro- life members of Generation Y were statistically no different from older cohorts, with the exception of members of the Silent Generation on the issue of government assistance to healthcare. Further research, particularly of the qualitative nature, is suggested to delve more deeply into this research question.

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This study contributes to the literature on the economic value of higher education by examining the extent to which a set of independent variables, including two measures of state spending on higher education predict the formation of human capital. The findings suggest that, in most states, increases in state spending per full-time equivalent enrollment in public higher education predict decreases in the formation of human capital, while increases in state spending per capita on public and private higher education predict increases in the formation of human capital. This suggests that the relationship between state spending on higher education and the formation of human capital is dependent on the measure of state spending used. Attempts to increase the formation of human capital should focus on increasing state spending per capita on public and private higher education. This study also analyzes time-series data from states, grouped by income inequality and changes in productivity, to examine the extent to which changes in a single measure of state spending on higher education predict changes in the formation of human capital. The results indicate that increases in state higher education spending do not benefit all states. Increases in state higher education spending predict increases in the formation of human capital in states with low productivity growth and in states with low levels of income inequality. In states with high productivity growth, increases in state higher education spending predict decreases in the formation of human capital. / Ph. D.

This thesis analyzes the impact of capital budget on capital spending in the U.S. states. The analysis is based on the James Poterba's 1995 study of the impact of a capital budget on capital spending using 1962 U.S. state-level data. I first replicate Poterba's model using the 1992-1996 data set that I had constructed for this study. I then extend Poterba's model to include a set of variables that allows exploration of the specific effects of the regulatory environment on spending outcomes in each state. These are mainly categorical variables that classify states in accordance with their definition of capital expenditure, organization of capital planning process, project selection and cost estimating techniques and capital financing practices. These were constructed using the data of the 1997 NASBO survey after reviewing the suggestions of practitioners and policy makers, as well as those engaged in research in this field. The introduction of a set of budget rule/budget composition variables into the analysis is an important contribution of this study. I also introduce additional control variables such as those controlling for the age of infrastructure. This study supports the claim that government spending is determined by a host of causal factors that can be grouped into four broad categories, (1) demographic-economic factors, representing both demand for public capital and source of its financing, (2) political decision-making factors that reflect electorate/party in power preferences for spending, (3) capital stock variables that relate to the age of infrastructure and control for spending culture in a state, and (4) budget composition/spending rules. The main finding of this study is the confirmation of Poterba's finding with respect to the positive effect of capital budget on capital spending using a recent data set and longer time frame of analysis. Another major contribution of this study is a statistically significant effect of sixteen spending rule/ budget composition variables. The results of this study support the basic premise found in the literature that budget process affects capital spending. / Master of Public and International Affairs

by Cho Yee Fun, Yvonne. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1989. / Bibliography: leaves 123-127.