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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.

The environment surrounding U.S. higher education has changed substantially over the past 40 years. However, we have a limited understanding of what these changes mean for the higher education organizations (HEOs) that occupy this organizational field. In this paper, I use descriptive statistics and multilevel latent class analysis (MLCA) to analyze the financial behaviors of public four-year HEOs from 1986 to 2010 to evaluate how HEOs adapt financially to their changing environments. I advance the current conceptual and empirical understanding of public HEO behaviors by evaluating how public HEOs utilize combinations of revenue and spending streams to accomplish their mission and the extent to which the revenues and spending patterns of these institutions are related. Descriptive results confirm the shift away from state funding toward tuition revenues and the relative stability in spending patterns. MLCA results, which allow for the investigation of how combinations of revenue and spending streams work together, indicate that public HEOs are changing the combinations of revenues they rely on in different ways, revealing multiple specific pathways for how public HEOs adapt to their changing environments. The spending profiles, in contrast, remain stable with only a few HEOs changing their profile over time. I argue that the loose coupling between revenues and spending and discontinuity in their patterns of change over time suggests that public HEOs are able to establish a buffer between their environment and spending or activities that allows them to continue engaging in the same broad set of activities despite environmental changes.

Revenue diversification interacting with form of government that has different management behaviors may produce a variation in the level of public spending. The purpose of this paper is to understand how revenue diversification interacts with form of government in determining the level of public spending.

A cross-sectional research design with the analysis of interaction effects was employed in order to achieve this research objective. Drawing from the economic and financial management perspectives on revenue diversification, this study proposes the following hypotheses: in the council-manager form, greater revenue diversification leads to less spending; in the mayor-council form, greater revenue diversification leads to more spending; and mayor-council governments with diversified revenues spend more than council-manager governments.

The regression results support the second and third hypotheses, but not the first hypothesis.

This study offers a robust link between revenue diversification and form of government by examining how their interaction produces a variation in the level of public spending.

The purpose of this paper is to explore the extent of revenue diversification of selected Malaysian public higher learning institutions (HLIs) and the perceptions of senior officers of Malaysian public HLIs on matters related to revenue diversification.

The study analyses data from the HLIs’ financial statements to compute the Hirschman-Herfindahl Index (HHI) for revenue diversification and a perception survey with senior officers of the Malaysian public HLIs.

The results suggest that while a majority of the Malaysian public HLIs were still dependent largely on government funding, the more established and larger HLIs had a slightly more diversified revenue structure. The survey suggested that overall the senior officers were receptive to the need for revenue diversification.

The paper is largely based on a perception survey. Future work should utilise in-depth interviews and/or focus groups and a more in-depth analysis of financial statement data to provide richer data.

The study’s findings provide useful baseline data upon which further work may be built, particularly in the less explored developing country context. They will also prove useful to the administrators of public HLIs in other parts of the world facing a similar financial austerity situation.

The present study examines both the extent of revenue diversification of HLIs as well as senior HLI officers’ perceptions on revenue diversification strategies. Most prior studies on revenue diversification have examined non-profit organisations, not HLIs and most were either only perception-based studies or only looked at the extent of revenue diversification using the HHI.

The objective of this chapter is to compare the measurement bases of income and expenditures found in International Public Sector Accounting Standards (IPSAS) used in Public Accounts with those in the statistical rules used in National Accounts/Government Finance Statistics (GFS). Both frameworks apply an accrual methodology, but, while some governments appear dubious about adopting the IPSAS framework, the National Accounts framework is more ‘tried and tested’ for government financial reporting on an international scale. The practical application of the accrual methodology in the two frameworks differs to a certain extent. These differences provide learning opportunities for both frameworks.

This paper investigates the effect of the volatility of resource revenue on the volatility of non-resource revenue.

The empirical analysis has utilized an unbalanced panel data set comprising 54 countries over the period 1980–2015. The two-step system generalized methods of moments (GMM) is the main economic approach used to carry out the empirical analysis.

Results show that resource revenue volatility generates lower non-resource revenue volatility only when the share of resource revenue in total public revenue is lower than 18%. Otherwise, higher resource revenue volatility would result in a rise in non-resource revenue volatility.

In light of the adverse effect of volatility of non-resource revenue on public spending, and hence on economic growth and development prospects, countries whose total public revenue is highly dependent on resource revenue should adopt appropriate policies to ensure the rise in non-resource revenue, as well as the stability of the latter.

Economic diversification in resource-rich countries (particularly in developing countries among them) could contribute to reducing the dependence of economies on natural resources, and hence the dependence of public revenue on resource revenue. Therefore, policies in favour of economic diversification would contribute to stabilizing non-resource revenue, which is essential for financing development needs.

To the best of our knowledge, this topic has not been addressed in the literature.

This paper aims to consider spatial effects in the analysis of the relationship of revenue and service quality. When firms’ customers are located in spatially dispersed areas, it can be difficult to manage service quality on a geographically small scale because the relative importance of service quality might vary spatially. Moreover, standard approaches discussed so far in the marketing science literature usually neglect spatial effects, such as spatial dependencies (e.g. spatial autocorrelation) and spatial drift (spatial non-stationarity).

The authors propose a comprehensive but intelligible approach based on spatial econometric methods that cover spatial dependencies and spatial drift simultaneously. In particular, they incorporate the spatial expansion method (spatial drift) into spatial econometric models (e.g. spatial lag model).

Using real company data on seasonal ticket revenue (dependent variable) and service quality (independent variables) of a regional public transport service provider, the authors find that the elasticity for the length of the public transport network is between 0.2 and 0.5, whereas the elasticity for the headway is between −0.2 and 0.6, for example. The authors control for several socio-economic, socio-demographic and land-use variables.

Based on the empirical findings, the authors show that addressing spatial effects of service data can improve management’s ability to implement programs aimed at enhancing seasonal ticket revenue. Therefore, they derive a spatial revenue response function that enables managers to identify small-scale areas that are most efficient in terms of increasing revenue by service improvement.

The paper addresses the need to account for spatial effects in revenue response functions of public transport companies.

Since the 1970s, the North Carolina Legislature has authorized its counties to levy four local option sales taxes (LOST). Proceeds from two of them are partially restricted for school capital needs; two other LOST are used to augment counties' general revenues that may also affect school capital funding. Experiences from other states have raised concerns that the adoption of LOST may increase inequality in school finance, but the empirical results have been mixed. Using a data set of one hundred North Carolina county school districts from 2004 to 2006, this study examines how public school facilities are funded, and investigates whether the adoption of LOST aggravates or alleviates inequality in public school capital revenues in the state.

This study aims to examine the significance of public/political corruption; trade tax revenue (import and export) on tax evasion in a group of 140 countries for the period 2008–2017. Sampled countries were subsequently grouped into four clusters for further testing. With the increase in globalization and technology, there is a potential of increased tax corruption on trade tariffs revenue activities.

The empirical testing was carried out using the technical and more advanced dynamic two-step system-generalized moment method. The econometrical method solves the problem of autocorrelation and heteroskedasticity on cross-sectional data. This study used the data from World Bank, Transparency International, World Economic Forum and Kaufmann’s governance indicators.

There is statistical interaction between the corruption perception index (CPI) and international trade activities. Moreover, other results revealed that CPI and trade tax revenue activities are statistically insignificant to tax evasion in three groups; low corrupt countries, high corrupt and trade surplus countries although the coefficient signs remain consistent. This can be attributed by a low level of corruption in the low corrupt countries or concealment of corruption-related information in high corrupt countries and the low level of import evasion in trade surplus countries.

Based on the theory and results, public and political officials should promote good corporate governance by strictly monitoring trade revenue activities because parties involved can use technical criminality to conceal illegal behavior. Additionally, all jurisdictions should apply the economic theory of crime, especially in high political corrupt countries and perennial trade deficit countries because key macroeconomic tax revenue activities such as imports invite numerous forms of dishonesty.