Policy Coalitions in the U.S. Congress: A Spatial Duration Modeling Approach

This paper applies spatial duration models to the analysis of cosponsorship coalitions in the U.S. House of Representatives. This approach provides a unique and simultaneous statistical analysis of ideological space (specifically, coalition formation) and geographical space. Typically, duration models are associated with temporal longitudinal data, but recently have been adapted to the spatial domain (Pellegrini and Reader 1996). In this paper, spatial duration models are further adapted to examine ideological space including a consideration of unobserved sources of spatial variation (or omitted variable bias). We examine two features of cosponsorship coalitions, breadth and clustering. Breadth is defined as the ideological distance between the two most extreme members of the coalition which is an important “signal” to the rest of Congress regarding the scope and broad appeal of the proposed legislation. In contrast, clustering refers to the distance between individual members of a coalition and reveals the tendency, or not, of ideologically similar members of Congress to support various bills. To examine breadth and clustering, we employ spatial duration models of cosponsorship that permit a multivariate analysis incorporating both the characteristics of members of Congress and the geographical regions they represent. Results indicate that cosponsorship coalition patterns are primarily determined by the content of the legislation, not the actions of the coalition leadership. While the leadership characteristics of sponsors have a limited effect on cosponsorship breadth, the size of the coalition is the primary determinent. Leadership characteristics also have little effect on cosponsorship clustering. Rather, clustering is due to members' policy preferences, as measured by distance to the coalition leader. In addition, the duration analysis results suggest that geographical proximity between members of Congress “overcomes” ideological distance. Finally, the spatial duration approach is noted as a fruitful methodology for examining explicitly spatial patterns in both ideological or geographical space.     

A Cost-Benefit Location-Allocation Model for Public Facilities: An Econometric Approach

This research develops and operationalizes a facility location-allocation model based on cost-benefit principles derived from welfare economics. Despite the theoretical advantages of cost-benefit location-allocation models, the difficulties associated with estimating household preferences for public facilities have heretofore prevented their application. This research demonstrates that the hedonic-pricing methodology can be effectively used to estimate preferences for public facilities. Specifically, household preferences for Baltimore public middle schools were estimated from the spatial variation in housing prices using the random bidding model. To provide an example of the methodology, the cost-benefit location-allocation objective function was maximized to simultaneously determine the optimal number, quality, and locations of Baltimore middle schools. The cost-benefit approach to facility location constitutes a major improvement over existing methods because it directly incorporates user preferences into the objective function and because the number and quality of facilities can be determined endogenously rather than being specified as a constraint a priori.     

Rethinking Remoteness: A Simple and Objective Approach

This paper re‐examines the characteristics and assumptions of current remoteness/accessibility classifications in Australia and proposes a simple and easily understandable alternative measure for remoteness. In this study, remoteness is redefined simply as the average distance between two nearest people within an appropriate spatial unit where population distribution is assumed to be homogenous. By definition, the most straightforward remoteness and incapacity index (RII) would be remoteness times a measure of the incapacity for social and commercial interaction, where remoteness is gauged by the square root of the area divided by the population, and incapacity is measured by the reciprocal of population. Australian Bureau of Statistics Statistical Local Area (SLA) level population data and digital boundaries have been utilised for assessment of this index. The utility of the RII is demonstrated with two examples of activity measures for general practitioner services and businesses. At the State/Territory level, RIIs are negatively related to both general practitioner services per person (Pearson correlation coefficient r=?0.873), and the number of businesses per person (r=?0.546). The correlation can be further enhanced by normalising the distributions of the remoteness scores with a simple logarithmic function. The strong correlations confirm that remoteness has a substantial inverse impact on daily activities. Greater distance means longer time and higher costs for travelling, diseconomy of scale, and higher personnel costs. The RII provides an alternative measure of remoteness that is both intuitive and statistically straightforward and, at an SLA level, closely coincides with the commonly used but complex Accessibility/Remoteness Index of Australia Plus (ARIA+). Significantly, the RII is free of the service specific and policy sensitive adjustments justified by accessibility that have been introduced into existing measures.     

Reconsidering Relocated Buildings: ICOMOS,Authenticity and Mass Relocation 1

ICOMOS charters guide global heritage conservation practices. Fundamental to most is the notion that a ‘monument is inseparable from the history to which it bears witness and from the setting in which it occurs.’ Yet buildings have been moved for centuries. Neither the fabric nor the size of a building, nor planning regulations, nor even heritage listing, have prevented their relocation. This article briefly examines the history of relocation, reviews attitudes to relocation in ICOMOS charters, and analyses two case studies involving the mass relocation of heritage buildings in the UK and in New Zealand to question the assumption that buildings lose their authenticity if moved.     

Monocentricity and Directional Heterogeneity: A Conditional Parametric Approach

The basic monocentric city model implies a decreasing relationship between distance to the Central Business District and outcome variables such as population density, housing prices, land rent, and income. Implicitly, the monocentric model implies directional homogeneity, that is, the distance effect does not depend on the direction in which it is being measured. Only a few works have analyzed the problem of directional heterogeneity. A new conditional parametric approach is introduced to deal with the issue. We study how this approach performs under different spatial patterns comparing with several other methods. An application to the spatial distribution of wage income in the municipality of Madrid is carried out to illustrate the main characteristics of the method and to show the comparative advantages.     

Spatial Spillovers and Regional Growth: A Cognitive Approach

Spatial spillover effects are widely studied in the literature, as an important source of externality and therefore of discrepancy between private and social optimum, creating the emergence for ad-hoc policy interventions. Within the literature, their spatially-bounded nature is highly emphasised, but the mechanisms for their spatial diffusion are generally considered as a black box, with no reference to territorialized channels through which these externalities spread around. The study aims to present a literature review on the spatial spillover concept, emphasising two main stages of reflection, the so-called spatial approach and the functional approach. This work identifies in a third approach, the cognitive approach, a new perspective to the interpretation of spatial spillovers and their conditions, and on this approach it elaborates theoretically and empirically. The main assumption is that the capabilities of economic agents to absorb and utilize spillovers—implicitly assumed by the spatial spillover theory to be invariant with respect to space—in reality highly depend on strongly territorialized and un-imitable assets, such as local trust, sense of belonging and creativity. This assumption is tested empirically on all NUTS 2 of the 27 European member countries, thanks to a regional forecasting growth model developed by the author, called MASST.     

Remote Sensing,Land Quotas and Mass Relocation: China's Governance of Farmland

There is increasing interest in understanding China's environmental governance through the lens of governmentality. This article contributes to that discussion by using the Foucauldian analytical apparatuses of discipline and security to understand China's governance of farmland. It argues that the Chinese state applies these two apparatuses simultaneously: on the one hand, it disciplines and deters local states from illegal land grabs by utilizing surveillance tools such as remote sensing and national land surveys; on the other hand, it relies on indirect governance through the land quota market to achieve grain security, transforming both local states and peasants into autonomous market players, and reconstructing China's rural landscape by launching mass peasant relocation programmes. The study also reveals the contingent effects of those power tactics: the state's governance is compromised by the local states’ counter‐conduct, such as data fabrication and concealment, and by the peasants’ denial of their new subjectivity as market players. When the tactics are effective, as in the case of local states actively assuming roles of land quota producers and traders, the villages and peasant households suffer from deprivation of land rights.     

Exposing Necroburbia: Suburban Relocation,Necropolitics, and Violent Geographies in Manila

When accumulation in southern cities entails the dispossession of informal settlers, where do they go and what spatialities emerge out of their dispossession? In Manila, this occurs through a violent form of suburbanisation. To make way for modern and investment-friendly spaces, informal settlers are exiled to relocation sites in the suburban fringe. This process of accumulation by suburban relocation engenders necroburbia, a dystopic suburban periphery constituted by distant relocation sites where evicted settlers are subjected into violent and asphyxiating everyday geographies. It serves as a spatial fix to enable metropolitan accumulation. Drawing on Achilles Mbembe’s notion of necropolitics, I expose necroburbia as a deceptive and violent space, produced through three spatialities: (1) demolition; (2) relocation; (3) necro-suburbanisms, or everyday ways of necropolitical living. These processes illustrate how urban fantasies of growth in cities like Manila are predicated upon necropolitical realities rendering informal settlers as expendable populations, deserving of everyday brutalities.     

Participation and Rights in Athenian Democracy: A Habermasian Approach

This article analyzes the actual interaction of private and public immunities in ancient Athens, and argues that ancient democracy echoed to a greater extent than traditionally assumed the general dynamics and normative foundations of deliberative democracy. Without denying the important differences that distinguish ancient democratic Athens from modern democracy, I analyze the Athenian situation in light of Habermas's theory of deliberation, and argue that civic and individual liberties in Athens were democracy-enabling because they undergirded the exercise of collective political power. In Athens, the considerable respect accorded to the rule of law (as distinct from majority rule), legitimated private autonomy and created the circumstances that made collective self-government possible. Thus, this article contradicts the dichotomous approach to liberty held by some of the most prominent critics of Athens such as Isaiah Berlin and Benjamin Constant.     

Gaussian Process Regression and Bayesian Model Averaging: An Alternative Approach to Modeling Spatial Phenomena

Gaussian Process Regression (GPR) is a nonparametric technique that is capable of yielding reliable out‐of‐sample predictions in the presence of highly nonlinear unknown relationships between dependent and explanatory variables. But in terms of identifying relevant explanatory variables, this method is far less explicit about questions of statistical significance. In contrast, more traditional spatial econometric models, such as spatial autoregressive models or spatial error models, place rather strong prior restrictions on the functional form of relationships, but allow direct inference with respect to explanatory variables. In this article, we attempt to combine the best of both techniques by augmenting GPR with a Bayesian Model Averaging (BMA) component that allows for the identification of statistically relevant explanatory variables while retaining the predictive performance of GPR. In particular, GPR‐BMA yields a posterior probability interpretation of model‐inclusion frequencies that provides a natural measure of the statistical relevance of each variable. Moreover, while such frequencies offer no direct information about the signs of local marginal effects, it is shown that partial derivatives based on the mean GPR predictions do provide such information. We illustrate the additional insights made possible by this approach by applying GPR‐BMA to a benchmark BMA data set involving potential determinants of cross‐country economic growth. It is shown that localized marginal effects based on partial derivatives of mean GPR predictions yield additional insights into comparative growth effects across countries.     

Estimating Antebellum Passenger Costs: A Hub-and-Spoke Approach

Abstract

Over 30,000 miles of railroad and 4,000 miles of canals were constructed in the United States between 1815 and 1861. However, the lack of data has prevented the study of this “transportation revolution” for most cities. This article thus enables a closer study of antebellum travel improvements by constructing a hub-and-spoke network that is capable of estimating the cost of passenger travel from New York City and Philadelphia to any U.S. city in 1836, 1850, 1856, 1859, and 1867. The semi-parametric approach provides an accurate cost estimate by using available historical information to determine the travel cost to all other cities.     

Rubbish, Relatives, and Residence: The Family Use of Middens

Secondary refuse deposits such as middens may be used for intrasite comparisons of consumption, status, ethnicity, or activities. Our analysis of residence and household discard patterns in the modern village of Dalupa in the Pasil River Valley in Kalinga Province, the Philippines, suggests that midden assemblages may be used to compare the refuse of extended families. We define three types of middens (household, local, and communal) on the basis of catchment zones and describe their spatial distribution. Almost all middens in Dalupa are dominated by contributions from one family group based on mother–daughter relationships, despite some deviation from ideal residence patterns.