Regional Science and Urban Economics最新文献

This study examines a 4.3 km expansion of Singapore's metro transit system. Despite a short line, it better connected existing lines and improved the connectivity levels of numerous stations across the city, as evidenced by connectivity indices. The improvement allowed residents living near those stations to access other places more easily, leading to greater convenience and higher home value in those stations' neighborhoods. Using difference-in-differences to compare housing price and connectivity changes in all neighborhoods with or without a station, we find that a 1% improvement in connectivity can increase local housing prices by 0.37%. The identification is anchored to the broad impact of the network reconfiguration, which was caused by the new transport infrastructure, on the connectivity changes in distant areas. Several techniques and tests enhance robustness. These include an estimation of the treatment boundary that defines proximity to stations, propensity score matching or weighting to mitigate sample imbalance, event study for the parallel trend, parameter sensitivity tests, etc. The research highlights that a small transport project can generate broad impacts on the whole city.

The COVID-19 pandemic accelerated the trend towards teleworking. Many predicted that this would shift housing demand to the suburbs and homes with the potential for high quality office space. We examine these predictions using a survey of the working age population who live in the private housing sector. The majority in the sector are happy with their current home, but new teleworkers who plan to continue to do so – accounting for one fifth of the population – are characterised by a higher intention to move. Consistent with predictions, these teleworkers value a high quality home office more than others and are prepared to live further away from the centre to find it.

This article investigates the heterogeneous effects of urban transport infrastructure on population distribution within a city. I focus on the case of Xiamen—a coastal city in China—where two bridges and a tunnel have been built to promote population growth on the city’s periphery. I first show that although population share increased substantially on the bridges-connected periphery, no significant growth in the population share was observed on the tunnel-connected periphery. This pattern is surprising, given that the reduction in the commuting distance enabled by the tunnel is more than five times as large as that enabled by the bridges. I then calibrate a quantitative urban model to demonstrate the importance of access to high-quality schools in explaining the distinct effects of the infrastructures. Counterfactual exercises suggest that increasing educational resources on the tunnel-connected periphery or relaxing the restriction on cross-district school enrollment may facilitate the intended population growth effect of the tunnel.

State income taxes affect federal income tax revenue by shifting the spatial distribution of households between high- and low-productivity states, thereby changing household incomes and tax payments. We derive an expression for these fiscal externalities of state taxes in terms of estimable statistics. An empirical quantification using American Community Survey data reveals that the externalities range from large and negative in some states, to large and positive in others. In California, an increase in the state income tax rate and the resulting change in the distribution of households across states lead to a decrease in federal income tax revenue of 39 cents for every dollar of California tax revenue raised. The externality amounts to a 0.27% decrease in total federal income tax revenue for a 1 pp increase in California’s state tax rate. Our results raise the possibility that state taxes may be set too high in high-productivity states, and set too low in low-productivity states.

In this article, we examine anti-refugee hate crime in the wake of the large influx of refugees to Germany in 2014 and 2015. By exploiting institutional features of the assignment of refugees to German regions, we estimate the impact of unexpected and sudden large-scale immigration on hate crime against refugees. Results indicate that it is not simply the size of local refugee inflows which drives the increase in hate crime, but rather the combination of refugee arrivals and latent anti-refugee sentiment. We show that ethnically homogeneous areas, areas which experienced hate crimes in the 1990s, and areas with high support for the Nazi party in the Weimar Republic, are more prone to respond to the arrival of refugees with incidents of hate crime against this group. Our results highlight the importance of regional anti-immigration sentiment in the analysis of the incumbent population’s reaction to immigration.

Airbnb and other home-sharing platforms have been facing increasing regulation over the past years, mainly in the form of restricting short-term rentals through day caps. In contrast, as one of the first countries in the world, Denmark applied a collaborative strategy: In 2018, the government negotiated an agreement with Airbnb about the transmission of income data from the platform to the tax agency. We analyze how this data-sharing agreement affected hosts' behavior on the platform, using a difference-in-differences approach with Sweden as a counterfactual. We find that the agreement reduced hosts’ propensity to list property on the platform by 14%, while increasing listing prices by 11%. Our results indicate that platform exits were mostly limited to single-property hosts. In contrast, hosts with many properties and those in areas with initially low Airbnb penetration made their rental objects more often available and managed to increase the number of bookings. Overall, the findings imply that the data-sharing agreement not only helped to increase tax compliance but also led to a commercialization and spatial re-organization of short-term renting in Denmark.

This paper examines the impact of environmental regulation on the local labor markets by exploiting China’s first air pollution regulation as a natural experiment. The identification strategy uses a novel instrumental variable based on engineering considerations related to coal-burning activities. The analysis shows that the pollution regulation has led to employment decline in the targeted prefectures and sectors, mainly through the channel of firm exits. Furthermore, detailed census data with worker characteristics are used to examine the skill heterogeneity and the regulation-induced spatial transition costs.

Using retail property transaction data and e-retailers’ fulfillment center openings from 2010 to 2014, we find that e-commerce expansion–measured by e-retailers’ fulfillment center openings–increases retail property values by 5.2% in counties with fulfillment center openings compared to similar counties with no openings. The effect appears in year two following the fulfillment center opening and persists through year five. This indicates a persistent divergence in retail property prices between the treatment and control groups. The increase in retail property values is accompanied by a significant boost in employment, wages, and business establishments in the transportation and warehousing sector, supporting the income channel hypothesis. However, we find limited evidence for the substitution channels. Notably, the impact is more pronounced in areas where fulfillment center workers are likely to reside.

To ease pressure from the aging population, the Chinese government implemented a two-child policy for couples where either the husband or the wife is from a single-child family in 2014. Using this policy as a quasi-natural experiment, we find that housing booms inhibit the potential desire for more children. A one-standard-deviation increase in the housing price-income ratio decreases the probability of migrant couples’ intention to have a second child by 7.69%, with the effect being concentrated on renters. Housing booms affect couples’ desired fertility through negative income and high opportunity cost channels. (JEL code: R31, J13, J38).

Concerns about housing affordability are widespread in cities worldwide, prompting discussions about rent control policies. This paper studies the effects of a rent control policy adopted in Catalonia in 2020 that applied to some but not all municipalities. The policy virtually covered all the rental market and forced ads and tenancy agreements to specify the applicable rent cap to ensure enforcement. To identify the causal effect of the rent control regulation on the rental market, we exploit register microdata of tenancy agreements and implement difference-in-differences regressions and event-study designs. Our results indicate that the regulation reduced average rents paid by about 4% to 6%. We do not find evidence of a reduction in the supply of rental units, as measured by the number of signed and ended agreements or the active stock of rental units. We implement several robustness tests to address identification concerns related to Covid-19. Our results suggest that rent control policies can effectively reduce rental prices without necessarily shrinking the rental market.