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Urban blight is a complex problem that has been challenging for cities in the United States "Rust Belt" region for many decades. However, in the wake of the real estate and financial crisis, it is also a growing challenge for urban communities in many states such as California, Arizona, Nevada, and Texas. Detroit was particularly hit hard, where more than 40,000 blighted structures were identified in 2014. To curb blight, the city mobilized the most extensive demolition program in the country. Funded through the Federal Hardest Hit Fund (HHF), the Detroit Demolition Program began in 2014 and has demolished more than 20,800 properties at the cost of over $250 million. Furthermore, during 2009–2015, the city demolished 11,400 structures with hazardous materials such as asbestos. In this article, we assess the impacts of demolitions on the value of neighboring properties using a Repeat Sales (RS) regression approach. Specifically, we use housing sales price information from 2009 through 2019 to construct real estate price indices. We also rely on information from the 2009 Detroit Residential Survey to differentiate by dilapidation and blight levels before the start of the program. On average, blight removal through the demolition program does not appear to have been capitalized into the residential property prices. However, when considering the effect of ex‐ante program property characteristics, we find a modest positive effect of demolitions on property prices in areas with a low level of blight before the demolitions. Given the magnitude of the observed effect and the high costs associated with the demolition program, our results highlight the need for further research on alternative blight removal strategies that might provide a more cost‐effective solution to this urban challenge. [ABSTRACT FROM AUTHOR]

Fiscal stress is a common condition in shrinking cities such as Detroit. Among the contributing factors, property tax delinquency is a significant consideration due to the unwillingness or inability to pay property taxes. The literature shows that improvement in the quality of public goods and services can increase tax compliance and strengthen the social contract between taxpayers and the local government. Nonetheless, this relationship is unclear in the context of low-income shrinking cities. This article estimates the effects of new publicly provided transportation infrastructure on property tax compliance in Detroit, Michigan. Specifically, we use the announcement of the Qline in Detroit. We compute the effects of the Qline announcement on tax delinquency behavior using a Spatial Difference-in-Difference approach. The results indicate that the announcement of the Qline had an economically and statistically significant impact on tax delinquency for properties within one mile of the nearest Qline station. [ABSTRACT FROM AUTHOR]

This article evaluates the impacts of reductions in residential effective tax rates on homeownership in Detroit, Michigan. The decline in effective tax rates was driven by a citywide reassessment that significantly reduced effective tax rates. These estimates are used to infer the potential impacts of moving from a traditional property tax to a split-rate tax in which the tax rate applied to land is higher than the tax rate applied to structures. Using Detroit parcel-level data over the years 2012–2019, we find that tax reductions resulting from property reassessment generated a very small net decrease in homeownership. Our evaluation suggests that moving to a split rate tax would likely result in a minimal change in the homeownership rate in Detroit. [ABSTRACT FROM AUTHOR]

The purpose of this article is to evaluate the degree to which the demolition of low-quality structures affects property tax compliance in Detroit. During the real estate crisis, the rate of property tax delinquency in the city exceeded 50%. The demolition of dilapidated structures could lead to improvements in tax compliance in two ways. The first is through an amenity effect: removal of blighted structures improves the neighborhood and thus may increase the likelihood that neighbors pay their property taxes. The second is via the existence of a peer effect in property tax compliance decisions. We use a 6-year panel database to examine the degree to which demolitions affect nearby residential property tax delinquency. Even though we are unable to disentangle the amenity and peer effects, our analysis shows that when a dilapidated property is demolished, tax delinquency within the neighborhood is reduced, providing evidence that demolitions improve tax compliance. [ABSTRACT FROM AUTHOR]

The β-convergence model is based on the neoclassical framework in which the spatial level of analysis is not relevant. These levels will result in decreasing returns. However, local processes of agglomeration, spillover effects, or other forces could operate differently depending on the level of spatial disaggregation. The primary objective of this article is to observe whether different local, regional, and national convergence behaviors are possible in the European Union (EU). To capture the differences among spatial scales, a multilevel and spatial effects extension of the Solow–Swan theoretical growth model is proposed. The estimations of this model are made using consistent information from Eurostat and Cambridge Econometrics for the period of 2000–2014. A multilevel spatial Durbin model estimator is applied to evaluate the spatial interactions of the regions. The results indicate that a general process of convergence in the EU coexists with intranational processes of divergence, highlighting the relevance of the spatial level of analysis. A final analysis of the impact of the economic crisis over the general behavior has been included verifying that the economic crisis strongly reinforce the weakness of the EU convergence. [ABSTRACT FROM AUTHOR]

Copyright of RAN - Revista Academia & Negocios is the property of RAN - Revista Academia & Negocios, Universidad de Concepcion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The fly‐in/fly‐Out (FIFO) or, drive‐in/drive‐out (DIDO) labour system is a long‐distance commuting work arrangement to attract workers towards remote mineral or fossil fuel extraction areas, where they work in shifts and then return to their usual place of residence located in a different region. Along with more and cheaper transportation alternatives, the use of FIFO/DIDO systems have importantly increased in last decades around the world, which has translated to FIFO/DIDO systems operating even when already established cities are present in extractive regions. This paper uses the case of Chile, one of the most important mining countries in the world, to explore whether and in what extent these labor systems influence wage compensations. We find that FIFO/DIDO commuters obtain an average wage compensation of 2.4 per cent per commuted hour. [ABSTRACT FROM AUTHOR]

Rural leaders can point to low housing costs as a reason that their area should be competitive for business attraction. To what extent do rural housing costs offset transportation and other locational disadvantages in cost structures? The United States lacks information to systematically answer the question. We adapt a strategy employed by The Economist in exploring purchasing power parity: the Big Mac index. We gather information on Big Mac prices with a random sample of restaurants across the contiguous United States. We find that core metro counties exhibit slightly higher Big Mac prices than other counties, but that differences across the balance of the rural–urban continuum code are not significant, implying that costs in a metroadjacent county are not different than areas that are much more rural. We show that some groups of states exhibit lower prices, especially in the southeast. Furthermore, we test for the presence of spatial monopoly and find that distance to other MacDonald’s restaurants has some influence on price. Stores at a greater distance from their competitors tend to charge more, ceteris paribus. We also show our results are consistent with other localized estimates of living costs. Our general findings could help rural decision makers determine whether their area truly holds cost advantages for firms looking to relocate. [ABSTRACT FROM AUTHOR]

Understanding household preferences for housing attributes is imperative for developing countries after years of housing policies that failed mostly due to the mismatch between housing solutions and needs. This paper provides income and price elasticity estimates of the demand for housing attributes as an indicator to measure how households perceive housing attributes (necessities or luxuries). These metrics are important because they allow evaluating previously national-level housing policies as well as suggesting new paths of action that are in accordance to households' preferences. The study focuses on Chile because its influential role in designing housing policies in other developing countries (Gilbert, 2002). Using five cross-section household surveys from 2000-2011, our results suggest that Size and Location are perceived as basic necessities. Contrarily, Quality and Housing Features are considered luxury goods. Size and Location are more price-inelastic than other attributes. These results are consistent across regions, and suggest that households prefer larger and better-located houses. [ABSTRACT FROM AUTHOR]

ABSTRACT In this paper, we estimate the size of the wage premium necessary to compensate for remoteness incurred by workers compared to the city size productivity effects. We construct five urban hierarchy tiers for cities in Chile based on their level of remoteness from the urban system. We then contrast the effect generated by these variables on worker wages. We report a positive gradient of wages the higher the size of the urban tier and a loss in wages that can reach 35 percent for more remote cities. [ABSTRACT FROM AUTHOR]

Copyright of Regional Studies is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper attempts to identify the existence of displacement in Mexico caused by drug-related violence. We identify two types of migrants: (i) migrants moving from nonviolent to violent states, driven by better economic opportunities and less expensive cost of living at destination and (ii) migrants moving from violent to nonviolent states: they still migrate even if the cost of living at destination is more expensive and economic opportunities are lower. Our hypothesis is that for the second type, migrants are fleeing from violence, and are willing to sacrifice economic opportunities in order to gain safety. For instance, when migrants move from nonviolent to violent states, they demand a salary 25% greater in order to increase the odds of migration in 10%. On the contrary, when migrants move from violent to nonviolent states, they only demand an increase in their salary of 15%. [ABSTRACT FROM AUTHOR]

The new economic geography ( NEG) has been tested to explain the spatial concentration of wages in developed countries, but it has not been evaluated for developing countries where the excessive spatial concentration seems to be related with negative consequences on the economic development. This paper covers this gap in the literature estimating by first time a NEG model for a developing country such as Chile, pursuing two research question: (1) Can the NEG explain the spatial distribution of wages in a developing country as Chile?; and (2) How can the NEG be used to infer information about the future level of spatial concentration of wages in Chile? The results suggest that the case of Chile is poorly explained by the NEG and even higher level of spatial concentration should be expected in the future. These results indicate that the empirical application of NEG is not trivial for developing countries, and some considerations such as inclusion of the first nature or analysis at micro data level must be incorporated by future researches. [ABSTRACT FROM AUTHOR]

The aim of this paper is to build, for the first time, a spatial housing price index for the Chilean communities. The first step is to recover hedonic prices of three housing attributes by estimating a mixed index model using a generalised method of moments ( GMM) procedure. Second, a censored almost ideal demand system is estimated to build expenditures for every community and to compare them among different spatial units, while maintaining a constant utility level. Using micro data from the 2009 CASEN survey, we show that there are important differences in the expenditure of a consumer in Santiago to access the same level of welfare in another community in the country and there are important differences in housing prices among Chilean communities [ABSTRACT FROM AUTHOR]

Are food price elasticities different across city sizes? The aim of this article is to estimate expenditure and own-price elasticities for 10 aggregated food product groups using the Spanish Household Budget Survey for the year 2010. These products are the ones for which the survey provides information regarding prices and quantities, thus allowing the application of an Almost Ideal Demand System (AIDS) model with censored data. The estimation procedure allows not only  comparisons to be made among households with different levels of income, but also the contribution of residence characteristics to variations in demand. The results confirm that the size of the city in which the household resides has a similar significant and relevant effect on consumption patterns as family income level. This is especially clear with own-price elasticities. In Spain, large central cities show a greater response to price changes than smaller cities or rural peripheral areas. [ABSTRACT FROM PUBLISHER]

This paper presents an empirical framework for analysing spatial wage inequality in Chile. Chile is primarily characterized by two stylized facts: the high spatial concentration around the metropolitan area and the key role of natural resources in the country. The paper considers both elements in a competition between NEG (new economic geography) and a theory based on natural resource endowment, with both theories incorporating human capital via a multilevel analysis. The results show the poor performance of NEG for Chile and indicate that natural resources are the principal cause of spatial wage variability in Chile. RÉSUMÉ La présente communication illustre un cadre d'analyse empirique de l'inégalité spatiale entre les salaires, au Chili. Le Chili est caractérisé principalement par les deux faits stylisés suivants : une concentration spatiale élevée autour de la zone métropolitaine, et le rôle essentiel que jouent les ressources naturelles dans ce pays. Cette communication se penche sur ces deux éléments dans le cadre d'une compétition entre deux théories : d'une part la nouvelle géographie économique (« NEG »), de l'autre une théorie fondée sur la dotation en ressources naturelles, ces deux théories incorporant le capital humain par le biais d'une analyse à multiples niveaux. Les résultats démontrent les mauvais résultats de NEG pour le Chili, et indiquent que les ressources naturelles sont la principale cause de la variabilité spatiale des salaires au Chili. EXTRACTO Este estudio presenta un marco empírico para analizar la desigualdad espacial de los salarios en Chile. Chile se caracteriza principalmente por dos hechos estilizados: la alta concentración espacial alrededor del área metropolitana y la función clave de los recursos naturales del país. El estudio considera ambos elementos en una competición entre la NEG (Nueva Geografía Económica) y una teoría basada en el legado de recursos naturales, donde ambas teorías incorporan el capital humano a través de un análisis de múltiples niveles. Los resultados muestran un bajo rendimiento de la NEG en relación con Chile e indican que los recursos naturales son la causa principal de la variabilidad espacial de los salarios en Chile. 摘要: 本文提出了一种分析智利区域工资不均的经验框架。智利主要有两大特点:大城市地区高度空间聚集和农村地区自然资源作用巨大。本文在对NEG (新经济地理学)和基于自然资源储藏量的理论进行比较时, 考虑了这两个因素, 同时还通过多层次分析纳入了人力资源因素。结果显示智利NEG性能很差, 表明智利区域工资差异的主要原因是自然资源。 [ABSTRACT FROM AUTHOR]