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Transport corridors can generate both wider economic benefits (WEBs) and costs through their effects on diverse development outcomes. To advance understanding of how corridors could generate WEBs, this paper undertakes a quantitative review and meta‐analysis of the literature that estimates the impacts of large transport infrastructure projects. The analysis finds that characteristics of individual studies and the design of the transport infrastructure influence estimated benefits. It also shows that, on average, while corridor interventions tend to benefit economic welfare and equity, they often detrimentally impact the environment. To mitigate trade‐offs, policymakers can consider using complementary interventions. [ABSTRACT FROM AUTHOR]

This study aims to provide a comprehensive examination of the evolution of regional science, a scholarly domain in the social sciences that applies analytical and quantitative approaches and methods to understand and address urban, rural, or regional problems. We conducted a bibliometric analysis of 8509 articles published in six regional science flagship journals (including the Journal of Regional Science, Annals of Regional Science, Regional Science and Urban Economics, Papers in Regional Science, Regional Science Policy and Practice, and International Regional Science Review) from 1958 to 2021. The analysis presents an objective data‐driven and unprecedented visualization of the field's intellectual, social, and conceptual structure and trends from the beginning to the present. It also provides a rich portrayal of the epistemology of regional science and illuminates matters related to regional science education and training. We find that regional science has moved well beyond its origins, shifting away from a heavy focus on theory and abstraction to modeling/simulation, empirical analysis, and policy research. We also find that there has been increasing attention to "people" in regions and the spatial characteristics of social problems, and some important shifts in the regional science community itself, particularly in terms of patterns of collaboration and the geography of scholarship. The findings of this paper provide implications for future directions of research and education for regional science. [ABSTRACT FROM AUTHOR]

The paper analyzes the relationship between different types of proximities—network and spatial—in relation to innovation in the context of the R&D service industry. In doing so, it contributes to the recent debate in the literature on the effects of network connectivity versus geographical colocation. The paper uses original data from a survey of 145 R&D service establishments in Montreal (Canada) and their interactions with both local and nonlocal organizations. The findings of the paper indicate that collaborative networks (both local and nonlocal) have a stronger association with R&D service innovation than spatial proximity to R&D service organizations and other collaborators. However, when these two dimensions are interacted, they are shown to function as substitutes. The paper also demonstrates that the relationship between spatial proximity and networking varies across three dimensions: local versus nonlocal networking, the type of relationship (client, supplier, competitor, and research institutes and university), and the type of network connectivity—brokerage versus closure. [ABSTRACT FROM AUTHOR]

The Chinese government has been using water efficiency targets to manage commercial, institutional, and industrial water use across the country. This paper argues that water efficiency targets may influence provincial administrators’ preferences in tightening water regulation in cities with higher water use while disproportionately overregulating water use in productive cities to satisfy their efficiency goals. I develop a city‐level production model with water regulation preferences and show that the unintended distortion of water regulation in response to water efficiency targets leads to efficiency loss of resource allocation and further reshapes regional output across cities, especially for productive cities. Using a sample of city‐level water data from 2006 to 2016 in China, this paper empirically investigates the impact of the Three Red Lines (TRL) policy on provincial administrators’ preferences in water use regulation. The results indicate that the elasticity of water regulation in response to the policy is approximately −0.64 to −0.8 and has resulted in tighter water regulations for cities with higher economic outputs. Quantitatively, eliminating water distortions would reshape water use across cities and increase the aggregate output of an entire province by up to 0.069%. The results imply that possible consequences of the political consideration of provincial administrators in satisfying water efficiency targets include inefficiency and inequality in water allocation. [ABSTRACT FROM AUTHOR]

This paper investigates the role of municipal and provincial public social spending for local income inequality after taxes and transfers in Austria. We utilize a spatial multi‐level model, which allows us to analyze the contribution of three spatial scales (municipal, district, and provincial level) to municipal income inequality. Our analysis shows that the effect of public social spending on local Gini indices does not only differ across provinces but also across municipalities which indicates that the potential cushioning effect of social expenditure is highly localized. Further splitting total public social expenditure into three distinct categories (education, health, social protection) reveals that spending on social protection has the highest effect on local inequality across all provinces, while health spending does not exert a discernible influence in any province. The method and results presented in this paper are of international interest for policymakers and researchers who aim to investigate whether the same patterns hold true in other countries. [ABSTRACT FROM AUTHOR]

This paper reports on the employment migration behavior of non‐White ethnic minority graduates in the United Kingdom for the 2018/2019 graduation cohort, which is the last cohort to enter the labor market before the COVID‐19 pandemic. Using data from the new Graduate Outcomes survey and controlling for a rich set of background characteristics, the findings indicate that ethnic minority graduates are more likely than their White counterparts to find work in ethnically diverse areas of the United Kingdom after leaving higher education. An identity utility framework is then formalized that combines identity economics with traditional approaches of human capital theory and job search theory. A test of an ethnic identity‐based hypothesis reveals that Asian, Black, and Mixed‐background graduates are comparatively more likely to migrate to areas with higher ethnic diversity levels, rather than less diverse areas. In addition to traditional explanations based on human capital theory and job search theory, this paper argues that these patterns are best explained by ethnic identity norms, which introduce a preference for working in ethnically diverse places. However, the results should be interpreted with some caution because of concerns related to heterogeneity within the ethnic group classifications used in the paper and possible omitted and unobserved variables. [ABSTRACT FROM AUTHOR]

This paper examines the impact of the arrival of Airbnb on local consumption amenities in Madrid. We exploit the exogenous variation created by the timing and uneven distribution of Airbnb listings in the city to determine the impact on food and beverage establishments. Using an instrumental variable strategy, we find positive local effects on both the number of restaurants and their employees: an increase of 14 Airbnb rooms in a given census tract leads to almost one more restaurant, and the same increase in a given neighborhood generates 11 new tourist‐related employees. The results are robust to the specification and sample composition. This paper contributes to the literature on the economic impact of the platform economy on urban areas by providing evidence of market expansion externalities from short‐term rentals. [ABSTRACT FROM AUTHOR]

It is well known that the value of a house depends both on the physical characteristics and on some features of the neighborhood in which it is located. If so, organized‐crime activities can significantly affect urban real estate values. Antimafia policies, in turn, can be intended as a tool to influence those external features. This paper compares the effects on real estate values of the two main antimafia policies implemented in Italy since the 1990s at the municipal level. While we do not find any significant effect of dismissal policies on house prices, we find a statistically significant effect of reassignment policies depending on the specific destination of confiscated property. [ABSTRACT FROM AUTHOR]

The standard theory of optimal jurisdictional size hinges on the existence of economies of scale in the provision of local public goods and services. However, despite its relevance for forced local amalgamation programs and related policies, the empirical evidence on the existence of such economies of scale remains elusive. The main goal of this paper is to produce an updated and comprehensive quantitative review of the existence of economies of scale in the provision of local public goods using a meta‐analysis approach to systematize the wide range of empirical approaches and modeling frameworks found in the previous literature. Our analysis confirms the presence of moderately increasing to constant returns to scale in the provision of local services with no reduction in the average costs of production in the delivery of most local public services beyond a certain, modest jurisdictional size, which many studies have estimated at 10,000 residents. Also, the potential for economies of scale differs at least across three traditional services: education, water and sanitation, and garbage collection, being highest for education and lowest for garbage collection. Our analysis also offers guidelines for future empirical research in this area. Physical output and production cost data should be used, together with translog specifications for the modeling of cost functions. Last, we find evidence that the determinants of output cost elasticity include bidirectional publication bias and population density but do not include the presence or absence of modern "lean" production technologies or the (perceived) capital intensity of the sector, contrary to conventional wisdom. These findings have significant policy implications for countries considering jurisdictional consolidation programs. [ABSTRACT FROM AUTHOR]

The article discusses various reports published within the issue, including one by Keith R. Ihlanfeldt and Gregory Burge about the effect of impact fees on multifamily housing construction and another by Rob Wassmer about the effect of urban containment policies and state growth management programs on the sizes of urbanized areas.

This paper examines the tax competition for mobile capital between two symmetric countries in a monopolistic competition economy. Taxation generates its own distortions of location and consumption as long as consumers/governments deviate from the symmetric equilibrium. Taking all possible distortions into account, this paper finds that the equilibrium tax rate may be positive and increasing when trade costs are high while it is negative and decreasing when trade costs are low if consumers have additively separable preferences displaying an increasing relative love for variety. This nonmonotonic relationship of tax rate with trade costs is further accompanied by welfare loss when market integration starts. The procompetitive effect and the income effect are both crucial to deriving the results. [ABSTRACT FROM AUTHOR]

This paper analyses the spatial patterns of young (<10 years) digital firms in Germany between 2008 and 2017 on county level. Determinants of firm birth locations as well as relocations are considered jointly to understand differences in location choices within firms' life cycles. I match commercial register data of 107,321 firms with county‐level administrative data to capture local characteristics. Using an OLS model with fixed effects, I find that the local knowledge base—that is, universities, research institutes, and colocated incumbents—are significant key determinants of digital firm birth when controlling for a host of local characteristics. My results indicate that for five firms per 1000 inhabitants, there is around one firm birth. Second, using a fixed effects gravity model for the analysis of relocations, I find that the most dominant explanatory factor for firm relocation across specifications is distance, that is, relocation costs. Relocation flows are more than twice as high to neighboring counties relative to other locations which shows that digital firms are not as footloose as their business model may suggest. Jointly, my results reflect economic activity's regional persistence, particularly for new firms. My paper provides evidence for policies targeting homogenous digital clusters based on strong colocation and that digital economic activity is not shifted over long distances, but the regional entrepreneurship capital is crucial for local growth. [ABSTRACT FROM AUTHOR]

Presents a list of books received for publication in the periodical 'Journal of Regional Science.' 'Greater Portland,' by Carl Abbott; 'Southeast Asian Urbanism: The Meaning and Power of Social Space,' by Hans-Dieter Evers and Rudiger Korff.

Remote rural and postindustrial regions are much more vulnerable to population drain in comparison with industrialized centers and capitals, due to obvious reasons such as meager job opportunities, difficulties in accessing public services in education, healthcare and transport, housing, entertainment, lack of integration with other territories and, finally, less advanced levels of digitalization. This represents an open challenge for the European Union within the framework of its Cohesion Policy. This paper analyzes the impact of digital trends, represented by the percentage of the population with access to internet and broadband and the percentage of individuals who buy goods and internet services (percentages provided by Eurostat) in less populated EU NUTS2 regions with lower income, on the crude population growth rate composed of natural changes in population and migratory flows and on the unemployment rate by applying panel data analysis. It has been possible to confirm that digitalization has a positive impact on natural changes in population in EU regions with lower economic development. On the contrary, the unemployment rate does not affect natural changes in population, but it does have a negative impact on migratory flows. The findings show that digitalization may contribute to reversing negative demographic trends in more disadvantaged EU regions in terms of income and population density. [ABSTRACT FROM AUTHOR]

The paper investigates the influence of regional import shocks from low‐wage countries on electoral support for European social democratic parties in 289 NUTS2 regions (2002–2022). The estimates suggest that a one standard deviation increase in the import shock from low‐wage countries over an election period may lead to a decline in support for social democratic parties between 0.6 and 1.2 percentage points. Similar results also apply to imports from Asian economies, such as China and India. The negative impact on electoral support for social democratic parties is amplified in moderately industrial and predominantly rural regions. For the former, the decline in industrial employment led to a shift of social democratic voters to the radical right. In contrast, in the latter case, the relatively slower growth of employment in the tertiary and quaternary sectors and the peripheral position of these regions caused a shift to the radical left. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the trends in income inequality in large cities within a selected sample of OECD countries. Specifically, we consider a set of individual characteristics that account for changes in the income distribution and estimate their contribution to differences in inequality in large cities over the last two decades. We use a combination of reweighting techniques and recentered influence functions (RIF) to detect an upward trend in inequality within large cities. This result is mainly driven by changes in the returns to endowments rather than by changes in its distribution. Our findings suggest that these results are not of the same magnitude across the countries analyzed. A key finding is that the contribution to inequality of the skill premium is considerably higher in North American countries than in European countries. [ABSTRACT FROM AUTHOR]

There is a growing amount of literature in economic geography showing that historical episodes can leave long‐lasting cultural and institutional legacies across space. For credibly identifying such persistent effects the analyses should not pick up trends preceding the respective episodes. Against this background, the paper re‐examines the famous case of the German division and reunification. The empirical focus is on the persistent mark‐up of women in work in East relative to West German regions that are often associated with legacy effects of the socialist regime that was in place in East Germany during the country's four decades of division. In contrast to the conventional wisdom in academia, policy, and the public, the current paper shows that the higher share of working women in East German regions is not due to a legacy of socialism. Female labor force participation was already remarkably higher in the East before the introduction of socialism. The general lesson is that any attempt to explain spatial variation in individual decision‐making by persisting institutional and cultural legacies of certain historical episodes needs to assess regional conditions predating these episodes. [ABSTRACT FROM AUTHOR]

This paper studies the cusp catastrophe in a two‐strategy population game with exogenous locational asymmetries and its application to spatial economics. We derive approximating games of two kinds: a cusp catastrophe form and a more general form. As a novel contribution of this paper, the effects of an arbitrary number of regional asymmetries are expressed using only three asymmetry parameters, thereby allowing for an analytical analysis. We find a new behavior with hysteresis using the general form. The usefulness of the forms is demonstrated for two economic geography models. A numerical recipe is presented to construct the cusp catastrophe form. [ABSTRACT FROM AUTHOR]

A list of books related to regional science is presented. They include "Weathering Risk in Rural Mexico: Climatic, Institutional, and Economic Change," by Hallie Eakin, "Regional and Urban Economics and Economic Development: Theory and Methods," by Mary E. Edwards and "Generative Social Science: Studies in Agent-Based Computational Modeling," by Joshua M. Epstein.

In this paper, we develop a three‐region economic geography model with workers of heterogeneous skills and mobility rates to consider how first‐nature, regional differences impact both inter‐ and intraregional inequality. In our model, the skill premium within a region summarizes both the degree of intraregional inequality between mobile, skilled workers and immobile, unskilled workers and the interregional inequality through differences in the welfare of unskilled workers across regions. Regions with the highest skill premium have the greatest degree of intraregional inequality and provide the lowest level of welfare to unskilled workers, relative to other regions. We find that the skill premium will be higher in regions with a greater supply of unskilled labor, lower supply of housing, or are more remote. An increase in a region's housing supply or centrality will lower intraregional inequality and raise the welfare of the local, unskilled workforce. However, the magnitude of these changes are declining in the initial number of skilled workers in the region. The model is extended to consider imperfectly elastic housing supply. The larger the price elasticity of housing, the larger the range of values, such that more populated regions will host a disproportionate share of skilled workers, have lower levels of intraregional inequality, and provide higher levels of welfare for unskilled workers. [ABSTRACT FROM AUTHOR]

This paper provides evidence about location and colocation patterns of manufacturing entrepreneurship and spatial scope of agglomeration economies in the context of a developing country. Using microgeographic data for all Brazilian manufacturing activities and distance‐based measures, we find clear patterns of colocalization between entrants and existing establishments, and that these patterns occur mainly at short distances. For activities presenting colocalization between entrants and existing establishments, our results also indicate that a greater number of incumbent establishments in a given location positively affects the number of entrant establishments that decide to locate there, an effect that attenuates rapidly with distance (generally disappearing after 5 km). This pattern of attenuation is robust to both the inclusion of a comprehensive set of controls for observable and unobservable local characteristics and the use of instrumental variables to address remaining endogeneity concerns. [ABSTRACT FROM AUTHOR]

City officials are continuously working to attract airlines willing to fly to new destinations. The inherent expectation is that a more extensive aviation network stimulates economic growth. This paper investigates empirically the causal implication of this hypothesis. Using data on nonstop flights by origin and destination over the period 1984–2013, we propose a new measure for a metropolitan area's connectivity to the national aviation network. We then use this measure to investigate its contribution to local economic development, as captured by the growth in population, in total employment, in per‐capita income, and new firm entry. To ensure causality, we use instrumental variable methods that exploit geography and destination airports growth as a way to capture the exogenous variation in the likelihood to add new travel routes. Our results suggest that a metropolitan area's air connectivity, resulting from an expansive local aviation network, has a positive effect on population, on employment and on the number of businesses established in that location. [ABSTRACT FROM AUTHOR]

Populations are affected by shocks of different kinds, and wars, a priori, may be among the most prominent. This article studies the effect of the Spanish Civil War (1936–1939) shock on the distribution of population, especially on cities. One of the main contributions of this study is that it underlines the importance of distinguishing between winning and losing sides, an aspect which until now has been largely overlooked. While previous research on war shocks has also tended to be concerned with inter‐state wars, this paper concentrates on a civil war. We take advantage of a new, long‐term, annual data set. Our results show that, overall, the Spanish Civil War did not have a significant effect on city growth. However, we also find a significant and negative effect in the growth of cities that aligned themselves with the losing side. These results are robust to heterogeneity in the effect of the war shock, measured as war severity and duration. Although short lived, the temporary effect on growth results in a permanent effect on the size of cities on the losing side. [ABSTRACT FROM AUTHOR]

As wildfires increase in both severity and frequency, understanding the role of risk saliency on human behaviors in the face of fire risks becomes paramount. While research has shown that homebuyers capitalize wildfire risk following a fire, studies of the role that risk saliency plays on residential development is limited. This paper aims to fill this gap by studying the link between wildfire risk saliency and the rate of residential development in wildfire‐prone areas, by treating recent wildfires as conditionally exogenous shocks to saliency. Using geospatial data on residential development in Colorado, we show that saliency shocks due to wildfire lead to statistically significant reductions in the rate of new development in wildfire risk zones that last upwards of 5 years, a result that is robust to a number of alternative explanations. We explore the policy implications of these findings, noting that education on fire risks may curtail some but not all of the development in these high wildfire‐risk areas due to the rapid growth of development in these regions. [ABSTRACT FROM AUTHOR]

This paper examines the impact of Covid‐19 lockdowns on exports by Chinese cities. We use city‐level export data at a monthly frequency from January 2018 through April 2020. Differences‐in‐differences estimates suggest cities in lockdown experienced a ceteris paribus 34 percentage points reduction in the year‐on‐year growth rate of exports. The lockdown impacted the intensive and extensive margin, with higher exit and lower new entry into foreign markets. The drop in exports was smaller in (i) coastal cities; (ii) cities with better‐developed ICT infrastructure; and (iii) cities with a larger share of potential teleworkers. Time‐sensitive and differentiated goods experienced a more pronounced decline in export growth. Global supply chain characteristics matter, with more upstream products and industries that had accumulated larger inventories experiencing a smaller decline in export growth. Also, products that relied more on imported (domestic) intermediates experienced a sharper (flatter) slowdown in export growth. The rapid recovery in cities' exports after lockdowns were lifted suggests the policy was cost‐effective in terms of its effects on trade. [ABSTRACT FROM AUTHOR]

Figures are showing that ethno‐cultural issues are increasingly related to most school bullying incidents happening lately. While many theoretical arguments and empirical investigations scrutinize the effects of foreign migration on hostile behaviors enacted by the adult population, there is insufficient evidence on the effects of immigration on youth. This paper provides evidence by exploiting the shock from migration that occurred in the UK after the 2004 European Union Enlargement to estimate the magnitude and the directionality of the effect exerted by the resulting inflow of migrants on school bullying. Multilevel logit, generalized estimating equations, and control function with two‐stage residual inclusion are used on a novel data set containing spatially fine‐grained observations on school bullying across the UK. Findings highlight a relevant effect of the shock from migration in triggering bullying, which is robust to the accounting for potential endogeneity with respect to immigrants' location choice. The role of existing language barriers as a channel for the effect of the migration shock is also scrutinized, to find that they increase its effect. [ABSTRACT FROM AUTHOR]

This paper investigates the influence of specialization, urbanization, and diversification externalities on the dynamics of tourism employment in Brazilian microregions. We use a dynamic panel data model for the 2006–2019 period. The location quotient, population density and the inverse of the Hirschman–Herfindahl index, proxies for specialization, urbanization, and diversification, respectively, positively affect tourism employment in the long run. Based on the estimated long‐run elasticities, the specialization externality produces the strongest influence on tourism employment after a permanent increase of one standard deviation. [ABSTRACT FROM AUTHOR]

In this paper, we study the impact of the New Market Tax Credit (NMTC) program in the United States on overall jobs and jobs held by minority and rural populations within the 2010–2019 period using a dynamic event‐study analysis. We also investigate if the jobs that can be attributed to the program stayed in program recipient neighborhoods or whether those jobs were occupied by non‐residents. The results show that there is clear evidence that the program increased overall workplace jobs and workplace jobs held by White and minority populations in the program recipient tracts. We also see that a larger share of workplace jobs due to the program went to minorities compared to the job shares held by various racial and ethnic groups at the beginning of the investment period. The results further show that even though the NMTC program increased the number of jobs available in a program recipient tract, the individuals who live outside that tract are holding many of the jobs created. The results also suggest that the program had a negative impact on jobs held by residents in nonmetropolitan tracts. [ABSTRACT FROM AUTHOR]

The economic effect of climate hazard events varies by time and by location. This paper investigates how climate shocks to local property markets transmit to capital markets and provides evidence of the extent to which forward‐looking climate risk is capitalized into the public valuations of those property markets. We first quantify the exposure of real estate portfolios to locations that recently experienced climate events (Event Exposure). Using an event study framework, we find that, in the post‐event period, a one‐standard‐deviation increase in ex‐ante Event Exposure is associated with a 0.2–1.4 percentage points decrease in quarterly stock returns. Cross‐sectional analyses reveal that differences in return effects can be explained by variation in the extent to which the area focuses on climate change. Similarly, we find that forward‐looking climate risk assessment negatively affects firm valuations only in markets with a focus on climate change. Consistent with these findings, we provide evidence that climate events (shocks) induce retail investors (noise traders) to decrease their stock holdings and that blockholders tend to take the opposite side in these transactions. We also show that conditioning on consumer sentiment helps to explain cross‐sectional variation in the response of stock returns to climate events. [ABSTRACT FROM AUTHOR]

The use of high‐dimensional fixed‐effects estimation has become customary with the estimation of gravity models of bilateral trade, migration, or commuting as outcome. However, fixed‐effects methods can be used without incidental‐parameter bias in a very small set of stochastic models. Alternatives to fixed‐effects estimation are iterative‐structural model estimation or linearizations of the structural model. Baier and Bergstrand deployed such a linearization. While easy to implement, the approach has drawbacks related to the approximation point and lack of observability of ingredients needed for the linearization. This compromises empirical work. The present paper provides a remedy to this problem by linearizing at the observed trade equilibrium. [ABSTRACT FROM AUTHOR]

This paper investigates how institutional conditions at national and regional levels shape the decisions of Multinational Enterprises (MNEs) to invest abroad by means of either acquisitions or greenfield investments. The empirical analysis covers all foreign direct investment (FDI) projects in the European Union by the largest MNEs in the world to study alternative choices by the same firm and account for firm‐level characteristics in investment decisions. The empirical results show that—other things being equal—regions with stronger investment eco‐systems are more likely to attract acquisitions, while greenfield investments are more likely in regions with comparatively weaker systemic conditions. Howerver, the regional quality of institutions makes a fundamental difference to the nature of the investment projects attracted by regions: those with high quality of government can attract greenfield investments undertaken by the most productive MNEs. By improving their quality of government, local, and regional policy makers can attract higher quality greenfield investment projects to their constituencies, potentially breaking the vicious circle between low productivity areas and low productivity FDI. [ABSTRACT FROM AUTHOR]

Environmental externalities of place‐based policy have generally been overlooked despite their welfare consequences. This paper studies the air‐pollution effect of development zones in urban China using a geo‐coded data set of 2720 counties from 1998 to 2016. By adopting the generalized difference‐in‐difference framework to resolve the problem of endogenous locational selection for place‐based policies, we find that development zones reduce ambient PM2.5 concentration by around 1.8%, leading to a total social gain of $7.75 billion USD. The environmental benefit varies by the zone's dominant industry, geographical region, administrative affiliation and time of establishment. We further show that development zones are comparably cleaner due to the incentives of central and local governments, manifested by the desire to administratively promote development zones, the attempt to satisfy residential demands for higher quality‐of‐life cities, and the employment of the national environmental monitoring system. [ABSTRACT FROM AUTHOR]

We exploit the GEOSTAT 2011 population grid with a very high 1 km2 resolution to document that Spain presents the lowest density of settlements among European countries. Only a small fraction of the Spanish territory is inhabited, particularly in its southern half, which goes hand in hand with a high degree of population concentration. We uncover through standard regression analysis and spatial regression discontinuity that this anomaly cannot be accounted for by adverse geographic and climatic conditions. The second part of the paper takes a historical perspective on Spain's settlement patterns by showing that the spatial distribution of the population has been very persistent in the last two centuries, and that the abnormally low density of settlements with respect to European neighbors was already visible in the 19th century, which indicates that this phenomenon has not emerged recently as a consequence of the transformations associated with industrialization and tertiarization. Using data on ancient sites, we find that Spain did not feature scarcity of settlements in comparison to other countries in premedieval times, suggesting that its current anomalous settlement pattern has not always existed and is, therefore, not intrinsic to its geography. [ABSTRACT FROM AUTHOR]

Geographical distance constitutes friction in searching for research collaborators. Taking advantage of a quasinatural experiment featured by High‐Speed Railway (HSR) lines in China, this paper employs the difference‐in‐differences model to identify the causal impact of a substantial improvement in the intercity transportation infrastructure on collaborative innovation across cities. The data pertain to a universe of patent applications filed by Chinese universities and their citations. We find that HSR contributes to a substantial increase in the innovation quantity and quality of collaborative patenting innovation between universities and corporates. It contributes to industry collaboration by utilizing university academic disciplines in the related technology fields. Lastly, HSR facilitates universities to search for new research partners with better quality beyond the geographical boundary. [ABSTRACT FROM AUTHOR]

ABSTRACT This paper presents a meta-regression analysis of the empirical studies exploring the relationship between academic knowledge spillovers and regional innovation. The results of the literature are found to depend on country effects, the level of geographical aggregation employed, the method of measuring innovative output, the use of industry-level data, and on the sectoral composition of the sample. Endogeneity, sample selection, and agglomeration forces are further elements that explain the findings on this issue but only weak evidence, after controlling for publication bias, supports the existence of a genuine spillover effect of university research on regional innovation. [ABSTRACT FROM AUTHOR]

Even though densification and social mixing are declared objectives of many nowadays urban planning paradigms, their simultaneous implementation is usually questioned by different actors and is not frequent in practice. In a market economy, understanding potential demand for this class of development, from different types of households, is essential to define public policies oriented to achieve both compact development (CD) and social mixture. To understand the preferences of households and potential demand, we implement a location choice model based on a bid–rent framework and spatial latent classes (LC), using census data and location attributes. By using spatial LC, we do not impose exogenous definitions of which zones are perceived as CD or suburban, rendering a robust method to identify variation in preferences. We apply the model to Santiago de Chile, where social mixing in dense and well‐located areas is being intensely discussed. We find strong differences in households' valuation of attributes between spatial classes. Results show that social mixing is more difficult in dense, well‐connected areas than in suburban areas because higher‐income households are more sensitive to the socioeconomic context of the location in compact areas. Besides showing evidence on household preferences and their implications for social‐mixing policies, this paper also provides a proof of concept for the use of spatial LC (proposed in previous work by the authors), showing this is a robust methodology allowing to generate behavior‐based classifications for urban areas. The paper also contributes methodologically, by deriving the elasticity formulation for bid‐auction location choice models, which allows quantifying the importance of location attributes in location probability. [ABSTRACT FROM AUTHOR]

Many academic papers have looked at the economic effects of the EU cohesion policy, which still remain an open empirical issue. The focus of the most recent literature has been on the heterogeneous effects of the policy and the identification of regional conditioning factors. However, most of the existing studies generally assume slope homogeneity for different cross‐sectional units (i.e., regions) and they estimate the average effects of the policy for all the European regions and/or selected groups of regions. Past works also employ data covering few programming periods. This paper has two main goals. First, we study the heterogeneous consequences of EU cohesion policy on regional economic growth in Europe over the past three decades, by applying a heterogeneous coefficient approach to new panel‐time series data. We calculate the region‐specific effects of the policy in terms of long‐run gross domestic product growth. Second, we study regional differences in terms of policy effects depending on the level of assistance received by the regions. We make a distinction among cases of effective, ineffective, trigger and marginal policy. We also document that the effectiveness of EU cohesion policy in the long run can be explained by some of the key factors used in the literature. Finally, we discuss the need for ineffective cases to learn from effective and trigger ones. [ABSTRACT FROM AUTHOR]

There has been a recent surge in papers estimating local multiplier effects. However, existing studies rely on arbitrary periods of observation, limit samples to more populous regions, and commonly use relatively aggregated industrial categories. When we address these and other methodological issues, we find that, in the United States, each new traded sector job adds half a nontraded job to a local economy, and that the addition of each high‐tech job adds less than one job to the local nontraded sector. Furthermore, we find that the multiplier effect of the manufacturing sector is no higher than the multiplier effect of the average traded sector. We provide robust evidence that higher‐paying traded sectors yield more nontraded jobs than lower paying sectors, and that multiplier effects are higher in larger cities. Furthermore, we generate IV estimates that remedy weak instrument problems in the existing multipliers literature. These findings offer needed clarity on the likely employment impacts of incentive policies aimed at attracting industries in the traded sector of the economy. [ABSTRACT FROM AUTHOR]

Comments on Zvi Drezner's (1990) description of a system of medical facilities on a territory with constant density of demand. Contradiction of the results to central place theory; Inaccuracy in the reasoning behind Drezner's paper; Proper formula for the constancy of the density of demand.

The article investigates the effect of crime on firm entry rates in Italian provinces over the period 2007–2016. The extant literature focuses mainly on the relationship between crime and the sorting of new businesses. The present paper contributes to this stream of work by estimating the effect of crime on the overall propensity to engage in entrepreneurial activities across a national territory. We measure the extent to which property and violent crime affect firm entry rates using an instrumental variable approach in which the instrument for criminal activity is the effective abortion rate. Our findings suggest that crime has a negative, sizable impact on firm entry. The results are robust to alternative instrumental variables and firm entry indicators. This empirical exercise emphasizes the need to consider loss of new business activities as a downstream effect when computing the social costs of crime. [ABSTRACT FROM AUTHOR]

This paper studies the impact of urban density, city government efficiency, and medical resources on COVID‐19 infection and death outcomes in China. We adopt a simultaneous spatial dynamic panel data model to account for (i) the simultaneity of infection and death outcomes, (ii) the spatial pattern of the transmission, (iii) the intertemporal dynamics of the disease, and (iv) the unobserved city‐specific and time‐specific effects. We find that, while population density increases the level of infections, government efficiency significantly mitigates the negative impact of urban density. We also find that the availability of medical resources improves public health outcomes conditional on lagged infections. Moreover, there exists significant heterogeneity at different phases of the epidemiological cycle. [ABSTRACT FROM AUTHOR]

Geographic inequality and racial disharmony are considered major factors in America's political divergence. This paper calculates geographic earnings inequality from 1960 to 2016 separately by race. From 2000 to 2016, White geographic inequality was significantly higher, and Hispanic geographic inequality was significantly lower, than Black and Asian geographic inequality. White geographic inequality rose from 1980 to 2008. Black and Hispanic geographic inequality fell from 1960 to 1980. Rural controls explain substantial shares of White geographic inequality in all years. Region and rural controls account for large shares of Black geographic inequality, especially from 1960 to 1990. Post‐1990, geographic inequality changes are largely explained by changes in overall earnings inequality, but 1960–1990 changes are not. Between‐race differences in geographic inequality translate into high‐income metropolitan statistical areas having had, since 1980, significantly smaller shares of Whites among their low‐income residents. [ABSTRACT FROM AUTHOR]

This paper compares the size distributions of cities when they are measured using gridded population and nighttime lights (NTLs) data. To do so, we exploit recent and accurate satellite imagery to proxy urban economic activity. Similarly to related studies, our results suggest that population is more equally distributed than lights at the country level. However, and calling assumptions established for urban NTLs into question, our findings do not support a Pareto function for their distribution. We also obtain evidence of a nonlinear and heterogeneous link between population and lights for a global sample of cities. Grounded on our empirical analysis, we develop a simple theoretical framework that relates the difference between the distributions of population and light emissions to the strength of agglomeration economies. [ABSTRACT FROM AUTHOR]