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The objective of the study is to determine if an over-borrowing bias emerges when the state fiscal base is shared by multiple general-purpose and special-purpose jurisdictions serving different groups of citizens.

This study uses panel data from all 50 states in the US from 1997 to 2007 to estimate models of total debt levels of state governments and total debt levels of all local governments aggregated at the state level. For comparison, it also estimates total debt levels of state and local governments taken together for the same years.

This study finds that jurisdictional overlap will increase state government debt, local government debt, as well as combined state and local government debt.

The finding from the study suggests that the fiscal common-pool model provides a more accurate analysis and more appropriate understanding of the institutional composition at the state and local public sector, especially for the vertical dimension of the local public sector where there are more specialized and overlapping jurisdictions.

The purpose of this paper is to investigate the financial determinants of local government debt in New Zealand.

To investigate the financial determinants of local government debt in New Zealand, the authors analyse the relationship between key financial variables with local government debt in New Zealand based on the theories of fiscal accountability and moral hazard using a panel data methodology, specifically the pooled ordinary least squares regression model.

The findings suggest that council income is the major financial determinant of local government borrowing in New Zealand rather than infrastructural spending and that during the global financial crises (GFC) borrowing levels of New Zealand local councils was not significantly impacted. However, the findings indicate that post the GFC, low interest rates have stimulated increased borrowing activity by New Zealand local governments to fund infrastructure.

This paper is the first to examine the determinants of local government debt in New Zealand. The findings of this study contribute to better understanding of local government/municipality debt in New Zealand and internationally by providing evidence on the financial determinants of debt of local governments and the indirect use of government policy to control local government borrowing. The findings of this study are anticipated to affect local government practices and national government policies in relation to local government finances.

With China’s economic growth slowing down and the growth rate of fiscal revenue decreasing, the pressure on local government debts is further increasing. Under this background, it is of great significance to clarify the relation between local government debts and China’s economic growth in order to give full play to the positive role of local debts in stabling growth. The paper aims to discuss this issue.

Therefore, this paper explores the impact of Chinese local government debt on economic growth from theoretical and empirical aspects, respectively, and compares the regional differences between different debts and economic growth dynamics.

In the theoretical model part, this paper constructs a three-sector dynamic game model, under the two circumstances of whether local government is subject to debt constraints, and examines the relation between local government debt and economic growth and other variables through numerical simulation. Research shows that when the government is not constrained by debt, there is an inverted “U” relation between government debt and economic growth. When the government is constrained by debt, the economic growth rate gradually decreases as the government debt increases.

In the theoretical analysis part, this paper tries to estimate the amount of local debts under different calibers and examines the impact of different types of local government debts on China’s economic growth and their regional differences. The results show that excessive accumulation of government hidden debts in the eastern region is not conducive to economic growth, while explicit debts in the central and western regions significantly contribute to local economic growth. The results of empirical analysis are basically consistent with the predictions of the theoretical model.

This paper aims to investigate whether the amount of local governments’ debt can be predicted by the level of political competition.

The study uses the artificial neural network (ANN) to test whether ANN can “learn” from the observed data and make reliable out-of-sample predictions of the target variable value (i.e. a local government’s debt level) for given values of the predictor variables. An ANN is a non-parametric prediction tool, that is, not susceptible to the common limitations of regression-based parametric forecasting models, e.g. multi-collinearity and latent non-linear relations.

The study finds that “political competition” is a useful predictor of a local government’s debt level. Moreover, a positive relationship between political competition and debt level is indicated, i.e. increases in political competition typically leads to increases in a local government’s level of debt.

The study contributes to public sector reporting literature by investigating whether public debt levels can be predicted on the basis of political competition while discounting factors such as “political ideology” and “fragmentation”. The findings of the study are consistent with the expectations posited by public choice theory and have implications for public sector auditing, policy and reporting standards, particularly in terms of minimising potential political opportunism.

The recent recession provides us a good window to reveal fiscal problems and inadequate preparations of state and local governments. To address the fiscal crisis, and more importantly, to prepare for the potential economic downturns, this paper designs a framework of necessary tools to combat fiscal crisis. With matching policies of revenue diversification and counter-cyclical fiscal policy (CCFP), debt financing can be used as an effective tool to help state and local governments pull through fiscal crises. A brief example of local governments in Georgia proves the possibility and effectiveness of the counter-cyclical debt policy. It will be much better to institutionalize these policies to avoid the moral hazards of governments and politicians, which, in a great sense, requires engaging and educating the public and, finally, obtaining support from them.

The esoteric area of financial derivatives has become quite salient in light of the financial crisis of the last few years. In the public sector, state and local governments have increasingly employed derivatives in their bond financings. This paper analyzes state and local governments’ use of a specific type of municipal derivative instrument (a floating-to-fixed interest rate swap) in a specific type of transaction (bond refinancing). The paper provides a case study of an executed bond refinancing transaction that employed a floating-to-fixed interest rate swap quantifying the substantial long-term costs financial derivatives can impart on state and local governments. The paper concludes with some specific lessons learned about debt-related derivative usage for public financial managers and offers some suggestions for further empirical and theoretical research in this area of public financial management.

This paper investigates the financial risk factors associated with fiscal distress in local governments. We hypothesize that fiscal distress is positively correlated with revenue concentration and debt usage, while negatively correlated with administrative costs and entity resources. The regression model results in a prediction of the likelihood of fiscal distress, which correctly classifies up to 91% of the sample as fiscally distressed or not. The model also allows for an analysis of the impact of a change in a risk factor on the likelihood of fiscal distress. A decrease in intergovernmental revenues as a percent of total revenues and an increase in administrative expenditures as a percent of total expenditures have the biggest influences on reducing the likelihood of fiscal distress.

This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.