SKILL POLARIZATION IN LOCAL LABOR MARKETS UNDER SHARE‐ALTERING TECHNICAL CHANGE

This paper considers the “share‐altering” technical change hypothesis in a spatial general equilibrium model where individuals have different levels of skills. Building on a simple Cobb‐Douglas production function, our model shows that the implementation of skill‐biased technologies requires a sufficient proportion of highly educated individuals. Moreover, when technical progress disproportionately replaces middle‐skill jobs, the local distribution of skills will exhibit “fat‐tails,” where the proportion of both highly skilled and low‐skilled workers increases. These and several other predictions of the model are consistent with recent existing evidence, and avoid some major criticism against the “canonical” CES framework.     

A Shape‐Based Local Spatial Association Measure (LISShA): A Case Study in Maritime Anomaly Detection

The explicit consideration of the shape of geographic features has been largely ignored in existing spatial association measures. The primary contribution of this work is the development of a new local spatial association measure—a Local Indicator of Spatial and Shape Association (LISShA). The LISShA measure is modeled after local Geary's Spatial Autocorrelation measure with distance between shapes, calculated using the Small–Le metric, replacing difference between attribute values and the spatial neighborhood defined by Fréchet distance. We provide some explanation of these metrics and show, in detail, how the LISShA and proposed moments are calculated in a one‐dimensional context in a case study of maritime anomaly detection.     

Multi‐Type,Multi‐Zone Facility Location

The placement of facilities according to spatial and/or geographic requirements is a popular problem within the domain of location science. Objectives that are typically considered in this class of problems include dispersion, median, center, and covering objectives—and are generally defined in terms of distance or service‐related criteria. With few exceptions, the existing models in the literature for these problems only accommodate one type of facility. Furthermore, the literature on these problems does not allow for the possibility of multiple placement zones within which facilities may be placed. Due to the unique placement requirements of different facility types—such as suitable terrain that may be considered for placement and specific placement objectives for each facility type—it is expected that different suitable placement zones for each facility type, or groups of facility types, may differ. In this article, we introduce a novel mathematical treatment for multi‐type, multi‐zone facility location problems. We derive multi‐type, multi‐zone extensions to the classical integer‐linear programming formulations involving dispersion, centering and maximal covering. The complexity of these formulations leads us to follow a heuristic solution approach, for which a novel multi‐type, multi‐zone variation of the non‐dominated sorting genetic algorithm‐II algorithm is proposed and employed to solve practical examples of multi‐type, multi‐zone facility location problems.     

A SPATIAL CLIFF‐ORD‐TYPE MODEL WITH HETEROSKEDASTIC INNOVATIONS: SMALL AND LARGE SAMPLE RESULTS*

ABSTRACT In this paper, we specify a linear Cliff‐and‐Ord‐type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate multistep GMM/IV‐type estimation procedures for the parameters of the model. We also give the limiting distributions for our suggested estimators and consistent estimators for their asymptotic variance‐covariance matrices. We conduct a Monte Carlo study to show that the derived large‐sample distribution provides a good approximation to the actual small‐sample distribution of our estimators.     

ART‐P‐MAP Neural Networks Modeling of Land‐Use Change: Accounting for Spatial Heterogeneity and Uncertainty

Spatial land‐use models over large geographic areas and at fine spatial resolutions face the challenges of spatial heterogeneity, model predictability, data quality, and of the ensuing uncertainty. We propose an improved neural network model, ART‐Probability‐Map (ART‐P‐MAP), tailored to address these issues in the context of spatial modeling of land‐use change. First, it adaptively forms its own network structure to account for spatial heterogeneity. Second, it explicitly infers posterior probabilities of land conversion that facilitates the quantification of prediction uncertainty. Extensive calibration under various test settings is conducted on the proposed model to optimize its utility in seeking useful information within a spatially heterogeneous environment. The calibration strategy involves building a bagging ensemble for training and stratified sampling with varying category proportions for experimentation. Through a temporal validation approach, we examine models’ performance within a systematic assessment framework consisting of global metrics and cell‐level uncertainty measurement. Compared with two baselines, ART‐P‐MAP achieves consistently good and stable performance across experiments and exhibits superior capability to handle the spatial heterogeneity and uncertainty involved in the land‐use change problem. Finally, we conclude that, as a general probabilistic regression model, ART‐P‐MAP is applicable to a broad range of land‐use change modeling approaches, which deserves future research.     

Evaluating an Entropy‐Maximizing Solution to the Ecological Inference Problem: Split‐Ticket Voting in New Zealand, 1999

For geographers, one important aspect of the ecological inference problem relates to the analysis of spatial variations in individual behavior. Obtaining estimates of this behavior, in the absence of direct data, is often difficult, and the “solution” to the ecological inference problem propounded by G. King is not relevant in all circumstances. An alternative, using a different approach, has been used for some time in electoral studies but has lacked “real” data against which to assess the accuracy of its estimates. The availability of such data for New Zealand's 1999 general election allows such an assessment to be made—with very favourable results. The estimates are then used to test hypotheses regarding the spatial variation in split‐ticket voting, again with considerable success.     

Investigating the Influence of Spatial and Temporal Granularities on Agent‐Based Modeling

Epidemic agent‐based models (ABMs) simulate individuals in artificial societies that are capable of movement, interaction, and transmitting disease among themselves. ABMs have been used to study the spread of disease at various spatial and temporal scales ranging from small communities to the world, over days, months, and years. The representations of space and time often vary between different epidemic ABMs and can be influenced by factors such as the size of a modeled population, computational requirements, population environments, and disease‐related data. The influence that the representations of space and time have on epidemic ABMs is difficult to assess. Here we show that the finest representations of space and time—termed spatial and temporal granularities (STGs)—in a parsimonious ABM affect speed, intensity, and spatial spread of a synthetic disease. Specifically, we found disease spread faster and more intensely as spatial granularity is coarsened, whereas disease spread slower and less intensely as temporal granularity is coarsened in a parsimonious ABM. Our study is the first to use the same epidemic ABM to examine the influence of STGs. Our results demonstrate that STGs influence ABM dynamics including early disease burnout and that an interrelationship exists between the coarsening of STGs and the speed and intensity at which disease spreads. Our parsimonious ABM is extended based on a structured community model and we found STGs also influence ABM dynamics in a more realistic context that includes hierarchical movement. Broadly, our study serves as a basis for further inquiry toward the influence of space–time representations on more realistic models that include multiscale mobility, routine movements (e.g., commuting), and heterogeneous population distributions.     

General Social Capital,Education‐Related Social Capital,and Choosing Charter Schools

Proponents of charter schools credit them with many advantages over traditional schools. One claim is that school choice yields increased parental participation in voluntary school activities—which we shall call education‐related social capital. In this article we test for the independent effect of school choice on education‐related social capital, controlling for general social capital and other potentially confounding variables. Studies of school choice invariably show that choosing parents have a greater level of general social capital than non‐choosing parents. Consequently, any increase in education‐related social capital could be spurious—due to the fact that choice parents start with atypically high levels of general social capital. We find under controlled conditions that school choice has a small but statistically significant effect on education‐related social capital. However, its effect is considerably smaller than for general social capital, as well as for other traditional predictors such as parental education and the school‐related home resources that parents may provide.     

Home as a Pocket of Local Order: Everyday Activities and The Friction of Distance

Discourse on the information society currently highlights issues of networks, flows and mobilities as prime organizers and re‐organisers of time—space relationships. Such discourse promotes notions of the flexible use of time and space, of people's decoupling from place and even of the end of geography — the belief that distance does not matter. Yet, in this article we argue that the roles of geographical stationarity and proximity in everyday life — understood as the creation and maintaining of pockets of local order — indicate the continuing and often neglected importance of the friction of distance. We demonstrate this empirically by focusing on the home as a pocket of local order, investigating the intensity and spatial extension of people's everyday activities, projects and contacts — their corporeal, virtual and medial (media‐related) mobilities — with the world outside. We support our thesis with data from the population, household and individual levels.     

Measuring the Scale of Segregation Using k‐Nearest Neighbor Aggregates

Nearly all segregation measures use some form of administrative unit (usually tracts in the United States) as the base for the calculation of segregation indices, and most of the commonly used measures are aspatial. The spatial measures that have been proposed are often not easily computed, although there have been significant advances in the past decade. We provide a measure that is individually based (either persons or very small administrative units) and a technique for constructing neighborhoods that does not require administrative units. We show that the spatial distribution of different population groups within an urban area can be efficiently analyzed with segregation measures that use population count‐based definitions of neighborhood scale. We provide a variant of a k‐nearest neighbor approach and a statistic spatial isolation and a methodology (EquiPop) to map, graph, and evaluate the likelihood of individuals meeting other similar race individuals or of meeting individuals of a different ethnicity. The usefulness of this approach is demonstrated in an application of the method to data for Los Angeles and three metropolitan areas in Sweden. This comparative approach is important as we wish to show how the technique can be used across different cultural contexts. The analysis shows how the scale (very small neighborhoods, larger communities, or cities) influences the segregation outcomes. Even if microscale segregation is strong, there may still be much more mixing at macroscales.     

The Disappearing State and the Quasi‐Event of Immigration Control

Immigration enforcement by sheriffs and police can be characterized as a proliferation of quasi‐events which never quite rise to the status of an event. This poses distinct challenges for feminist‐inspired scholarship on the state which seeks to document, ethnographically, how the state goes about its business on the ground. In this article we draw on our fieldwork experience in North Carolina and Georgia on sheriffs’ and police departments’ use of traffic enforcement and policing roadblocks to scrutinize drivers for their legal status, and ask how our ethnographic approach to the problem of state power inevitably stumbles in relation to the ordinariness of these practices. We conclude that feminist scholarship committed to an ethnography of the state could do much more to think through the potentially aporetic quality of that which is our common object of research—the state in practice.     

Vertrauensvorschuß und wissenschaftliches Fehlhandeln — Eine reliabilistische Modellierung der Fälle Abderhalden,Goldschmidt, Moewus und Waldschmidt‐Leitz

Reliabilist philosophy of science considers scientific misconduct a transgression against the principles of good cognitive practice. Good practice in research is characterised by the reliability, efficiency and fertility of the cognitive processes involved. The reliabilist approach is closely connected to the idea of mutual cognitive dependency of the research community. Trust in the testimony of others is not an inevitable but a favouring factor of scientific progress — and misconduct damages the testimonial chain, respectively the principle of trustworthiness. Within the reliabilist framework, the main focus on questionable research is not on whether or not there are fraudulent intentions (that means particular mental events of the past), but on recognisable consequences for the research community. Criticising the constructivist modeling of questionable research, we reconstruct certain contributions by Emil Abderhalden, Richard Goldschmidt, Franz Moewus, and Ernst Waldschmitz‐Leitz as serious misconducts respectively frauds. We also show that specific social factors — often regarded as “apologising” conditions — decisively interfere with the principle of trustworthiness in the scientific community.     

DRS. MUTH AND MILLS MEET DR. TIEBOUT: INTEGRATING LOCATION‐SPECIFIC AMENITIES INTO MULTI‐COMMUNITY EQUILIBRIUM MODELS*

ABSTRACT We consider the problem of integrating spatial amenities into locational equilibrium models with multiple jurisdictions. We provide sufficient conditions under which models that assume a single housing price in each community continue to apply in the presence of location‐specific amenities that vary both within and across communities. If these conditions are satisfied, the models, estimation methods, and results in Epple and Sieg (1999) are valid in the presence of (potentially unobserved) location‐specific amenities. We also show how to construct sufficient statistics that capture location specific spatial heterogeneity. We apply these techniques using data from the Pittsburgh metropolitan area. We find that these amenity measures capture proximity to important local employment centers as well as heterogeneity in school quality within a given school district.     

A COMBINED MULTI‐ANALYTICAL APPROACH FOR THE STUDY OF ROMAN GLASS FROM SOUTH‐WEST IBERIA: SYNCHROTRON μ‐XRF,EXTERNAL‐PIXE/PIGE AND BSEM–EDS

An integrated, multi‐analytical approach combining the high sensitivity of SR‐μXRF, the light element capability of PIXE/PIGE under a helium flux and the spatial resolution of BSEM + EDS was used to characterize chemical composition and corrosion of glass samples (first to fourth centuries ad ) from an important, but scarcely investigated, Roman region of south‐west Iberia (southern Portugal). The geochemical trends and associations of major, minor and trace elements were investigated to shed light on production techniques, the provenance of raw materials and decay mechanisms. The results, while confirming a production technique common to Roman glasses throughout the Empire—that is, a silica‐soda‐lime low‐Mg, low‐K composition, with glass additives as colouring and/or decolouring agents (Fe, Cu, Mn, Sb)—show at one site high Zr–Ti contents, suggesting a more precise dating for these glasses to the second half of the fourth century. The Ti–Fe–Zr–Nb geochemical correlations in the pristine glass indicate the presence of minerals such as ilmenite, zircon, Ti‐rich Fe oxides and columbite in the sands used as raw materials for the glass former: these minerals are typical of granitic‐type source rocks. The unusually high K content in the corrosion layers is consistent with burial conditions in K‐rich soils derived from the alteration of 2:1 clays in K‐bearing rock sequences.     

A Mona effect: How place discourse constitutes culture‐led change

The arrival of the Museum and Old and New Art (Mona) in the disadvantaged municipality of Glenorchy was heralded as the beginning of significant social change in Australia's island state of Tasmania. These expectations were premised on a local place discourse known as the “Tasmanian gothic,” and, in this article, our aim is to illustrate the importance of place specifications in culture‐led change, including in relation to how place discourse constitutes such change. To do this work, we illustrate a Mona effect that comprises a critical account of the Tasmanian gothic informed by an empiric of tourist movement to and from Mona. We demonstrate that tourist movements follow existing socio‐spatial patterns, with tourists from higher socio‐economic backgrounds bypassing Glenorchy and those from lower socio‐economic backgrounds more likely to stop in this disadvantaged municipality. This socio‐spatial account unsettles the characterisation of Tasmania and Tasmanians provided by the Tasmanian gothic and we conclude by observing (1) a lack of significant social change resulting from Mona, in part explained by well‐established socio‐economic patterns; (2) signs of more subtle change that warrant further investigation; and (3) how local place discourse can act to curtail culture‐led change by reinforcing existing socio‐economic patterns.     

A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques

Geographically weighted regression (GWR) is a technique that explores spatial nonstationarity in data‐generating processes by allowing regression coefficients to vary spatially. It is a widely applied technique across domains because it is intuitive and conforms to the well‐understood framework of regression. An alternative method to GWR that has been suggested is spatial filtering, which it has been argued provides a superior alternative to GWR by producing spatially varying regression coefficients that are not correlated with each other and which display less spatial autocorrelation. It is, therefore, worthwhile to examine these claims by comparing the output from both methods. We do this by using simulated data that represent two sets of spatially varying processes and examining how well both techniques replicate the known local parameter values. The article finds no support that spatial filtering produces local parameter estimates with superior properties. The results indicate that the original spatial filtering specification is prone to overfitting and is generally inferior to GWR, while an alternative specification that minimizes the mean square error (MSE) of coefficient estimates produces results that are similar to GWR. However, since we generally do not know the true coefficients, the MSE minimizing specification is impractical for applied research.     

Empowering Pyromaniacs in Madagascar: Ideology and Legitimacy in Community‐Based Natural Resource Management

Development practitioners frequently rely on community‐based natural resource management (CBNRM) as an approach to encourage equitable and sustainable environmental resource use. Based on an analysis of the case of grassland and woodland burning in highland Madagascar, this article argues that the success of CBNRM depends upon the real empowerment of local resource users and attention to legitimacy in local institutions. Two key factors — obstructive environmental ideologies (‘received wisdoms’) and the complex political and social arena of ‘community’ governance — challenge empowerment and legitimacy and can transform outcomes. In Madagascar, persistent hesitancy among leaders over the legitimate role of fire has sidetracked a new CBNRM policy called GELOSE away from one of its original purposes — community fire management — towards other applications, such as community management of forest exploitation. In addition, complications with local governance frustrate implementation efforts. As a result, a century‐long political stalemate over fire continues.     

Polarization and the growth of low‐skill service jobs in Spanish local labor markets

This paper analyzes the long‐term transformations of the occupational structure in 50 provinces of Spain with a view to ascertain the existence and assess the extent of employment polarization. The peculiar characteristics of this country, namely rigid labor markets and the relatively recent transition to democracy, make for an interesting addition to existing studies on this topic. In line with previous literature on other countries, we find a strong association between the decline of “routine” mid‐skill jobs and the expansion of low‐skill service employment as well as differential labor market outcomes by levels of formal education. Results are robust to various controls and instrumental variables that account for long‐term industry specialization. We also find a positive local multiplier effect of high‐skilled workers on the demand for nontradable service jobs.     

Knowledge and Proximity

Over the years knowledge has come to be seen as crucial for economic progress, and proximity as conducive to knowledge exchange. As a result, knowledge-related processes are often considered as possible explanation of the spatial agglomeration of economic activities. However, knowledge and proximity are general concepts that have to be detailed before it is possible to specify the concrete mechanisms at work. Building on recent work that focuses on proximity, this paper develops a perspective in which proximity features as an enabling element, but no more than that, in ongoing processes of knowledge creation, transfer, absorption, and change. We argue that knowledge is to be viewed as activity and process, rather than object or commodity. Concentrating on “knowledge agents”—those engaged in knowledge-related processes, individuals and collectives—will be more productive than persisting to rely on the distinction between tacit and codified knowledge to explain spatial aspects of the economy. Finally, we argue that regions are different when it comes to the extent, and the way, they facilitate creation, transfer, and other knowledge processes. Contributions to local or regional economic development, whether through research or policy, have to take existing repertoires—patterns in collective knowledge—into account.     

Revamping community‐based conservation through participatory research

Community‐based conservation is experiencing a crisis of identity and purpose as a result of a disappointing track record and unresolved deficiencies. The latter include over‐simplified assumptions and misconceptions of “community,” the imposition of externally designed and driven projects at the community level, a focus on conservation outcomes at the expense of community empowerment and social justice, and limited attention to participatory processes. New approaches are urgently needed to address these weaknesses and to counter a rising trend towards environmental protectionism and a preference for conservation approaches at an eco‐regional scale that threaten the interests of local and Indigenous communities. We propose that three core principles of community‐based participatory research (CBPR)—(1) community‐defined research agenda; (2) collaborative research process; and (3) meaningful research outcomes—hold much promise. Drawing on the experience of a research partnership involving the James Bay Cree community of Wemindji, northern Quebec, and academic researchers from four Canadian universities, we document the process of applying these principles to a community‐based conservation project that uses protected areas as a political strategy to redefine relations with governments in terms of a shared responsibility to care for land and sea. We suggest that basic assumptions of CBPR, including collaborative, equitable partnerships in all phases of the research, promotion of co‐learning and capacity building among all partners, emphasis on local relevance, and commitment to long‐term engagement, can provide the basis for a revamped phase of community‐based conservation that supports environmental protection while strengthening local institutions, building capacity, and contributing to cultural survival.