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This article examines the links between average city size, fiscal decentralisation, and national economic growth in 33 Organisation for Economic Co-operation and Development (OECD) countries.

The data in this paper comprise an unbalanced panel dataset which contains economic growth indicators, average city size, fiscal decentralisation indicators and control variables in 33 OECD member countries from 1975 to 2015 in five-year intervals. Fixed-effects (FE) estimators are used for the analysis.

This research finds i) countries with larger weighted average city sizes have higher economic growth, ii) countries with greater fiscal decentralisation have higher economic growth, but iii) countries with larger weighted average city sizes with greater decentralisation have lower rates of economic growth.

The research highlights the importance of agglomerations and decentralised governance and management for economic growth. While the findings are consistent with previous evidence that larger city sizes and fiscal decentralisation are separately associated with higher rates of economic growth, the authors find countries which have larger cities and greater fiscal decentralisation experience lower rates of economic growth highlighting a need for caution on decentralisation agendas in such cases. The implications of this suggest policymakers should proceed with caution on decentralisation agendas in countries with large cities.

The purpose of this paper is to integrate conflict theory's class and race perspectives to explain police force size in large cities in the USA.

Data on US cities with populations of 250,000 or greater (n=64) are used to test whether class and/or racial factors impact police force size. The data are analyzed using OLS regression.

This study finds that class and race factors combine to impact police force size concurrently. By adjusting the model specifications of a recent article, which concludes police force size in large US cities is determined by racial factors and not class, this study shows that two class‐related factors – racial economic inequality and poverty – significantly influence police force size. Additionally, this analysis calls into question the importance of racial factors; specifically, the threat caused by minority presence and a city's history of racially coded violence.

Few conflict theorists have attempted to integrate class and race in order to explain police force size. The results of this study show that racial economic inequality interacts with poverty (class threat) and that they jointly affect police force size. This adds further nuance to the argument of the complex causal interaction of intersectionality and supports theoretical, methodological, and public policy shifts that blend class inequality and racial threat to explain police force size.

The purpose of this paper is to explore the interplay of institutional quality and market potential factors on the agglomeration of foreign fast-food franchises in major cities in Central America.

The authors approached the research question through a regression analysis of the main fast-food chains operating in the 41 largest cities in Central America. The exploratory analysis in this paper attempted to discover the statistical relationship between institutional quality and market potential factors on the agglomeration of fast-food chains in specific cities. The paper also examined the spatial distribution of fast-food units in selected cities to try to discover specific patterns on the selection of specific locations within each city.

The findings of this paper suggest that population size and institutional quality in terms of regulatory efficiency were the two most significant predictors of fast-food chains agglomerations in selected Central American cities. The authors also found a negative interaction between market potential and institutional quality on agglomeration of fast-food restaurants, whereby a relatively weak institutional environment might deter investors, even if initially a market offers moderate potential. Finally, they found specific geographic patterns for the chosen locations of fast-food places that signal to a preference for urban locations with easy access to main thoroughfares, high commercial traffic and more affluence.

The small sample size was a major constraint. Moreover, population size as a measure of market potential was available for all cities, but other city-level indicators were only available for a small number of cities. The preliminary results aligned with the predictions in this paper, yet the generalizability of the findings of this paper is limited by the sampling and measurement issues noted above. Finally, the paper did not include all fast-food chains in the cities examined, and inclusion of more foreign and domestic chains should be considered in future studies.

Local governments should consider the factors that impact franchise chains’ decisions to enter a market and the specific locations in which they choose to locate their units. Improving the quality of local institutions could be instrumental in attracting investment.

Very few studies have focused on Central America as a recipient of investment by fast-food chains. The region is less than attractive in terms of both market potential and risk. Yet fast-food franchises have continued to grow over the past two decades, making the examination of their investment decisions worth studying. The inclusion of institutional quality at the city level is an additional contribution of this paper. This paper furthers our understanding of the factors that drive investment decisions of global franchisors in regions with low to medium market potential and medium to high levels of institutional risk.

This study aims to explore the pattern of urban residents’ socio-spatial distribution in a small-sized city where the local housing market capacity and variety is limited.

Spatial variation was reflected by two different analysis. First, factor analysis was applied to determine the major dimensions of the social, economic and housing environment in the investigation area. Second, Kriging maps, which depict the socio-spatial distribution pattern of the households according to major dimensions, were produced by interpolating factor scores on a continuous surface. Those were supported by complementary exploratory analysis to deepen the discussion.

Homogenous distribution of similar groups to housing areas and low inner differentiation particularly within lower income neighborhoods are the noticeable results of the analysis set. Ethnicity and income differentiation are the principal determinants of socio-spatial distribution pattern in our case. The constraints of the local housing market are seemed to facilitate spatial separation. Disadvantaged population groups are limited to small niches within the urban fabric; they are relegated to poor quality neighborhoods or to unpopular inner-city housing estates.

This research has been performed for the small size city in Turkey and may not hold for other areas, even though the methodology can be replicated and the mechanisms at play are quite similar elsewhere.

The internal differentiation of urban residents’ is worth investigation to develop consistent housing and planning policies to overcome prospective social exclusion problems. This study has a potential of remarking the importance of policy-based economic and housing development in smaller cities in Turkey.

Analyses displayed a sectoral structure of the distribution of urban residents but lower inner differentiation within neighborhoods. Limitations of the housing stock facilitate substantial level of isolation to the extent of ethnicity. Two different ethnic groups are confined to small niches, and they are ethnically and economically tied down to their neighborhoods. The physical properties and the quality of both dwellings and the housing environment are the poorest in these areas, and these are unpopular housing areas by the majority of the population. These findings are supposed to give direction of setting consistent housing policies in the case area.

This research is one of the initial research on socio-spatial distribution of urban residents to housing areas in Turkey. It is also one of the rare examples of socio-spatial differentiation study in small-sized city in the literature. The authors have shown that socio-spatial differentiation would be severe even in small size housing markets as opposed to expectation.

The purpose of this paper is to examine evidence indicating the presence of economies of scale among Atlantic City casinos at the property‐level and between multi unit and single unit operators.

The study extended two previous studies by performing a vertical analysis of financial performance data and by using multiple regression analysis to study costs and revenues over time. The study collected 320 annual property observations for the main analysis for the period of 1980 to 2009 and used detailed financial performance data for the 2007‐2009 period.

Findings from both forms of analysis support the existence of scale economies in Atlantic City at both the property level and for multi unit operators.

Results of this study suggest that there are economies of scale for casinos in Atlantic City. Additionally, larger size was associated with better performance even during the current economic downturn. Managers or owners of casinos in Atlantic City may consider developing large physical size of their casinos when it is feasible. Additionally, the success of multi unit operators compared to single unit operators has implications for acquisitions while property values are depressed. Replication as a tool to aid generalization of results across time and situation contexts is illustrated and a number of future research lines are suggested.

Purpose – The purpose of this chapter is to project the global emergence of megacities through the 21st century using population scenarios consistent with the Special Report on Emissions Scenarios (SRES) of the Intergovernmental Panel on Climate Change (IPCC).

Methodology – A dynamic urban growth model is developed based on a scale-independent theory of growing networks taking into consideration the geographical and climatic suitability of the location of cities. The model is able to generate a series of megacity projections consistent with an experimental city size distribution based on a national urban population scenario consistent with Zipf's law. The model is applied to population projections for 45,316 cities around the world using three population scenarios from SRES.

Findings – All of the projections indicate that a large number of megacities will be generated in developing regions towards 2100, although the range is wide and depends on the population assumed in the scenarios. Some results indicate an extreme population concentration in megacities; this might be undesirable for national security, quality of life, and sustainable development. Transport policies affect urban growth and national land development through changes in mobility and accessibility across the nation.

Implications – The results presented in this chapter could serve to stimulate discussions on urban and national transport policies and planning, particularly in China.