The flypaper effect states that grants-in-aid increases public spending more than a comparable increase in personal income. If aid increases spending, then there is the possibility that it displaces own-source revenue or a portion of the aid itself is used to meet other priorities of governments, fungibility. Different local government structures have the tendency to prioritize either the operating or capital budget. Empirical evidence shows that federal and state grants have different flypaper effect. While fungible state aid is allocated to the operating budget, that of federal goes to the capital budget. Council-manager and mayor-council form of governments do not allocate fungible intergovernmental aid differently between the capital and operating budgets.

The dissertation investigates the form of network governance in the context of U.S. homeless service networks (namely continuum of care programs; CoCs). This research examines CoC homeless service networks by applying the institutional collective action (ICA) perspectives to understand the forms of network governance as a reflection of network context. The ICA perspective has been applied to understand the rational behavior of network members for the network governance form to mitigate the collective action problems. The ICA perspective helps understand why network members accept specific governance structures with their expectation to maximize the benefits and minimize the costs and uncertainty in their process of collaboration. This dissertation uses the data of CoC networks and point in time data from the U.S. Department of Housing and Urban Development in 2019 and Census. The data developed for this study offers the homeless incidences, geographical characteristics, and governance structure based on the contact information. For an in-depth understanding, interview by CoC leaders was integrated. This dissertation consists of four essays about 1) Literature review on network governance and the theoretical argument in the ICA framework, 2) Background and network governance of the U.S. homeless service networks, 3) Factors affecting the choice of network …

This dissertation analyzes how local governments adapt to the fiscal stress of major disasters. Unifying theories of fiscal stress with emergency management theories, the dissertation presents a model of what influences local governments coping strategy use following disasters. Using new survey data and secondary financial data on cities, counties, and school districts that experienced Hurricane Harvey, findings show that local governments adapt in a variety of ways; of 137 local governments that responded, 66 percent used some number of coping strategies, with only 5 of 62 possible strategies not being used by any local governments. For those which did adapt, they on average used 7.06 strategies, and tended to show a preference towards revenue increasing strategies and rebuilding the community through new capital projects, with less emphasis on expenditure cuts compared to some prior literature findings on fiscal stress. The results indicate that local governments step up and provide new services necessary during the recovery process, to serve their community, despite fiscal stress. A negative binomial model shows partial support for the hypotheses that local governments with lower prior fiscal condition and greater hazard exposure will use more coping strategies. The findings show mixed results on whether institutional rules that …

This dissertation examines the factors and combinations of factors that affect the performance of continuum of care homeless service networks, applying the configurational approach of contingency theory to data sets drawn from federal sources. The study accepts the two key assumptions from the theory: (1) that there are multiple paths to high performance and (2) key conditions have a joint influence on network performance. The data analysis in this study has two parts. The first employs OLS regression to examine the causal relationship between independent variables and the performance of permanent supportive housing (PSH) programs. This study also applies fuzzy set qualitative comparative analysis (fsQCA) to identify multiple combinations of factors that influence the performance of PSH programs. The results identify key factors and multiple combinations of factors that lead to high and low network performance. Federal CoC funding emerges as a core condition for high and low performance, but all relevant conditions can be critical factors depending on how they interact with other relevant conditions. This analysis helps expand the utility of existing contingency theory by using it to explain the dynamic interactions between factors in the context of public service networks. Ultimately, this dissertation confirms that fsQCA can …

Why do megachurches participate in economic development, and who benefits from their participation? Frumkin's framework for understanding nonprofit and voluntary action and extra-role behavior are theories tested to answer these questions. My research employs a mixed-methods research design conducted in two phases. In phase one, I analyze 42 responses to an online survey to provide data about the prevalence and nature of economic development activities offered by megachurches in the Dallas-Fort Worth and Houston-Sugar Land-Baytown Metropolitan Statistical Areas. Phase two involved 23 semi-structured telephone interviews with megachurch leadership to provide data that explains the rationale for why megachurches offer economic development activities and who benefits. Evidence from this research demonstrates that megachurches are participating in economic development for reasons consistent with both demand-side and supply-side arguments. Findings also show that megachurches take on extra-role behaviors for in response to community expectations and the values of members and staff. Implications for understanding partnership decisions and collaborations between faith-based organizations and local governments are discussed.

This dissertation examines the extent to which social vulnerability, as studied by researchers across multiple disciplines, has influenced the practice of emergency management at the local level. This study addresses two major research questions to accomplish this goal. First, how do local emergency managers perceive and define social vulnerability? Second, what strategies do local emergency managers employ to reach and meet the needs of socially vulnerable populations? Semi-structured interviews were conducted in person or by phone with a sample of local emergency managers, city managers, and American Red Cross personnel from the Houston - Galveston and the South East Texas regions as defined by the respective Councils of Government. A modified grounded theory approach was used with a constant comparative method to identify themes for each research question. Triangulation was accomplished through secondary census data and supplemental interviews. The interview data reveal that social vulnerability research has had an indirect influence on the practice of emergency management at the local level. This influence is facilitated through state and federal policy, training, and plans development. Based on the interview data, four themes were identified that capture the various ways in which local emergency management officials perceive and define social vulnerability. These …

One key to reducing terrorism may be to understand why individuals join terror groups, and to find ways to meet their needs through alternatives to discourage membership in terrorist organizations. The study introduces the hierarchy of needs framework to capture all previous pieces of explanations on why individuals join terror groups under one big umbrella, in order to see the big picture. It does not do a meta-analysis, but rather tests the framework. This study is designed to find out what perceived needs commonly motivate individuals to join terror groups in general and specific terror groups in particular. The research uses Turkey's terrorism experience as a case study which is supported with data from real terrorist in Turkey. Findings of the descriptive analyses show that majority joined a terror group due to social and affiliative needs. The remaining analyses (bivariate, cross-tabulation and binary logistic regression) show that confitents who perceived esteem and recognition were more likely to become members of other/leftist terror groups, and that rightist terror group members in Turkey tend to have higher education. Education mainly affects a confitent's perception of two needs: social and affiliation and self-actualization. Other demographic variables (age group, region of birth, marital status) …

This dissertation uses property values to investigate the economic effect of public expenditures for operations and capital improvements on place value. Given the increasing role of nonprofit services in augmenting those of cities and school districts, the dissertation research investigates whether nonprofit expenditures join those of cities and school districts as Tiebout commodities, thereby contributing to place value. Furthermore, the research examines whether those expenditures contribute to reducing the inequities in the distribution of property wealth. The conceptual framework for the dissertation is the Tiebout model and its various extensions. The model proposes that individuals have different preferences for public goods and services, and there are many jurisdictions that vary in the services provided. Consequently, individuals shop around for the community that best matches their preferences and locate in the one that maximizes their utility. If the model correctly predicts households' behavior, then the quality of public goods and services provided by a community will affect its desirability. The more attractive a community, the higher the demand for its properties, which results in higher property values. The dissertation research finds that city public capital spending positively impacts property values in two ways. Property values respond positively to (1) the announcement …

Within risk communication, much is understood about pre-event warning related to evacuation and sheltering; however risk communication during the return-entry phase when ending evacuations has been largely under-studied in the disaster literature. Understanding of the return-entry risk communication process is important because returning early or prior to issuance of the all-clear message can make returnees susceptible to post-disaster risks, and also hamper post-disaster activities such as debris removal, traffic management, utility restoration and damage assessments. Guided by the Warning Components Framework and the Theory of Motivated Information Management, this dissertation focuses on risk communication as it pertains to organizational behavior during the return-entry process by examining how local emergency management organizations develop, disseminate and monitor return-entry messages. The data is collected through semi-structured telephone interviews with local emergency management organizations that managed return-entry following Hurricane Sandy. The findings of the study indicate that local emergency management organizations required information on post-disaster threats, damages, and utility and infrastructure condition in order to develop return-entry strategy for their community. Organizations improvised to their existing risk communication measures by adopting creative ways for information dissemination to the evacuees. They also utilized active and passive approach to monitor public response to the return-entry messages.

This research investigates existing and new HR practices that have impacted public health employee retention in Saudi Arabia during the COVID-19 pandemic. It builds on social support theory and social exchange theory to better understand the relationships between HR practices and retention, and uses quantitative methods to examine the hypotheses based on a conceptual framework. While OLS regression is employed to analyze the relationships between HR practices and retention, path analysis (bootstrapping) is used to examine the mediator variable. Based on 417 valid questionnaires distributed to public health employees in Saudi Arabia's central, western, and eastern regions, the analysis illustrates that while training and emphasis on work-life-balance as existing HR practices had a positive effect on retention, social support (supervisory support) and promotion of mental well-being as new HR practices also had a positive effect on retention during the COVID-19 pandemic. However, the hypothesis that compensation and occupational health and safety would improve retention was not supported. These results indicate that financial benefits and providing safety materials did not lead to employee retention. Meanwhile, safety training programs, psychosocial support, and promotion of well-being have been essential HR practices during the pandemic. Regarding the mediation hypotheses, interestingly, the results show that …

Citizen involvement in the production and delivery of public service has been a long time topic of interest and controversial debate among scholars. Essentially, the belief has been that if citizens are actively involved in the process, public organizations and communities benefit in numerous ways that will ultimately lead to increased citizen satisfaction. The purpose of this research is to explore the relationship between citizen involvement in the production of public safety and security and its effects on organizational efficiency and effectiveness of law enforcement agencies. To test the assumption that citizen involvement is positively correlated to organizational success and organizational efficiency of law enforcement agencies, a citizen involvement index was developed and used as the independent variable in ordinary least square regression (OLS) analysis. Three separate models are developed to measure the impact of citizen involvement on law enforcement. Findings obtained through bivariate and multivariate analyses indicate mixed results. Bivariate analysis revealed that citizen involvement was negatively correlated to organizational efficiency while no statistically significant correlation was found in multiple regressions. In addition, through bivariate analyses, citizen involvement was positively correlated with crime rates reported to city police departments, whereas multivariate regression analyses indicated that citizen involvement does not …