Pub Date : 2025-09-25DOI: 10.1016/j.jue.2025.103808
Silvia Peracchi
This paper examines how undocumented migrant displacements affect local news markets and the political economy of EU internal borders. I focus on a policy that took place in June 2015, in which French authorities introduced militarized controls at their borders with Italy, to return waves of irregular border-crossing migrants transiting from Italy to Italian lands. Natives’ exposure to resettled migrants varied across Italian municipalities, depending on their proximity to push-back areas. I exploit this quasi-experimental setting in a diff-in-diff framework and compile novel text and count data from local news in Liguria, Italy. Results show that migration coverage declined with distance from the border after the push-backs. In contrast, anti-immigrant discourse intensified away from the events and weakened at the border. Exploring further this framing dimension, I observe readers’ demand to be closely associated with local news discourse and voting preferences to broadly follow anti-immigrant slant in the news.
{"title":"Migration crisis in the local news: Evidence from the French–Italian border","authors":"Silvia Peracchi","doi":"10.1016/j.jue.2025.103808","DOIUrl":"10.1016/j.jue.2025.103808","url":null,"abstract":"<div><div>This paper examines how undocumented migrant displacements affect local news markets and the political economy of EU internal borders. I focus on a policy that took place in June 2015, in which French authorities introduced militarized controls at their borders with Italy, to return waves of irregular border-crossing migrants transiting from Italy to Italian lands. Natives’ exposure to resettled migrants varied across Italian municipalities, depending on their proximity to push-back areas. I exploit this quasi-experimental setting in a diff-in-diff framework and compile novel text and count data from local news in Liguria, Italy. Results show that migration coverage declined with distance from the border after the push-backs. In contrast, anti-immigrant discourse intensified away from the events and weakened at the border. Exploring further this framing dimension, I observe readers’ demand to be closely associated with local news discourse and voting preferences to broadly follow anti-immigrant slant in the news.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"150 ","pages":"Article 103808"},"PeriodicalIF":4.8,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145134828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-29DOI: 10.1016/j.jue.2025.103798
Ben Klopack, Fernando Luco
We compare two widely used sources of consumption data: payment card transactions (from credit and debit cards) and cell phone location pings. We find they are positively but imperfectly correlated; payment card usage is higher among higher-income consumers, while cell phone pings only loosely track consumer spending. We develop a methodology that combines both sources to measure local retail spending and show that it closely tracks more aggregated government data. We illustrate its use by quantifying local fiscal multipliers. We show that the impacts of government spending shocks are highly localized, decay spatially, and are heterogeneous across store categories.
{"title":"JUE Insight: Measuring local consumption with payment cards and cell phone pings","authors":"Ben Klopack, Fernando Luco","doi":"10.1016/j.jue.2025.103798","DOIUrl":"10.1016/j.jue.2025.103798","url":null,"abstract":"<div><div>We compare two widely used sources of consumption data: payment card transactions (from credit and debit cards) and cell phone location pings. We find they are positively but imperfectly correlated; payment card usage is higher among higher-income consumers, while cell phone pings only loosely track consumer spending. We develop a methodology that combines both sources to measure local retail spending and show that it closely tracks more aggregated government data. We illustrate its use by quantifying local fiscal multipliers. We show that the impacts of government spending shocks are highly localized, decay spatially, and are heterogeneous across store categories.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103798"},"PeriodicalIF":4.8,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-26DOI: 10.1016/j.jue.2025.103797
Filipe Campante , Rui Du , Weizeng Sun , Jianghao Wang , Siqi Zheng
We show evidence of how political geography directly shapes real economic outcomes by studying the spatial impact on Beijing’s restaurant sector of China’s 2012 anti-corruption campaign, which placed strict limits on lavish spending by public officials. Restaurants located closer to government offices experienced a relative decline in consumer demand. The post-campaign distribution of establishments was less spatially concentrated around government offices and had a smaller presence of high-end restaurants than before the campaign. Our results underscore the role of political geography as a potent, spatially concentrated driver of demand and its influence on the configuration of economic activities.
{"title":"JUE insight: Political geography and the spatial allocation of economic activity: Evidence from China’s anti-corruption campaign","authors":"Filipe Campante , Rui Du , Weizeng Sun , Jianghao Wang , Siqi Zheng","doi":"10.1016/j.jue.2025.103797","DOIUrl":"10.1016/j.jue.2025.103797","url":null,"abstract":"<div><div>We show evidence of how political geography directly shapes real economic outcomes by studying the spatial impact on Beijing’s restaurant sector of China’s 2012 anti-corruption campaign, which placed strict limits on lavish spending by public officials. Restaurants located closer to government offices experienced a relative decline in consumer demand. The post-campaign distribution of establishments was less spatially concentrated around government offices and had a smaller presence of high-end restaurants than before the campaign. Our results underscore the role of political geography as a potent, spatially concentrated driver of demand and its influence on the configuration of economic activities.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103797"},"PeriodicalIF":4.8,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-25DOI: 10.1016/j.jue.2025.103799
Yi Liu , Yao Li , Jindong Pang
This paper investigates the impact of ride-sharing services on urban air pollution across 284 cities in China. While the theoretical implications of ride-sharing services on air quality remain ambiguous, empirical analysis of a daily panel dataset reveals that the introduction of ride-sharing services in a city significantly reduces urban air pollution levels. On average, cities experience at least a three percent decrease in air pollution following the launch of these services. Mechanism analysis indicates that ride-sharing services contribute to reduced peak-hour traffic congestion, a decline in new car registrations, and an increase in public transit ridership. These findings quantify the environmental benefits associated with ride-sharing services and provide valuable insights for policymakers seeking to regulate the ride-sharing industry and enhance urban air quality.
{"title":"JUE insight: Do ride-sharing services cause urban air pollution?","authors":"Yi Liu , Yao Li , Jindong Pang","doi":"10.1016/j.jue.2025.103799","DOIUrl":"10.1016/j.jue.2025.103799","url":null,"abstract":"<div><div>This paper investigates the impact of ride-sharing services on urban air pollution across 284 cities in China. While the theoretical implications of ride-sharing services on air quality remain ambiguous, empirical analysis of a daily panel dataset reveals that the introduction of ride-sharing services in a city significantly reduces urban air pollution levels. On average, cities experience at least a three percent decrease in air pollution following the launch of these services. Mechanism analysis indicates that ride-sharing services contribute to reduced peak-hour traffic congestion, a decline in new car registrations, and an increase in public transit ridership. These findings quantify the environmental benefits associated with ride-sharing services and provide valuable insights for policymakers seeking to regulate the ride-sharing industry and enhance urban air quality.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103799"},"PeriodicalIF":4.8,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-18DOI: 10.1016/j.jue.2025.103796
Qiuyi Wang , Jing Wu , Shuping Wu
Using the shift-share (Bartik) instrumental variable to solve the endogeneity problem, this study shows a robust negative effect of export shocks on residential land supply in China during 2008–2022. We attribute this effect to a novel revenue-based fiscal-consolidation measure: Chinese city governments intentionally increase urban-land-supply revenues to hedge against declining tax revenues caused by the export slowdown. The additional land-supply profits can offset approximately 94 % of the tax-revenue losses. This effect is achieved as city governments expand land supply while maintaining stable land prices to generate additional land revenue. However, we find this land-based fiscal-consolidation measure bears unintended costs: it has led to excessive urban expansion, amplified the risk of the housing market, and increased commuting costs. A one-percentage-point drop in export growth correlates with a yearly increase of 124 million USD in commuting costs caused by the land oversupply in China. Further, this measure is becoming less sustainable as its preconditions (abundant developable land and robust demand) become increasingly difficult to meet.
{"title":"Export slowdown and increasing land supply: Local government’s responses to export shocks in China","authors":"Qiuyi Wang , Jing Wu , Shuping Wu","doi":"10.1016/j.jue.2025.103796","DOIUrl":"10.1016/j.jue.2025.103796","url":null,"abstract":"<div><div>Using the shift-share (Bartik) instrumental variable to solve the endogeneity problem, this study shows a robust negative effect of export shocks on residential land supply in China during 2008–2022. We attribute this effect to a novel revenue-based fiscal-consolidation measure: Chinese city governments intentionally increase urban-land-supply revenues to hedge against declining tax revenues caused by the export slowdown. The additional land-supply profits can offset approximately 94 % of the tax-revenue losses. This effect is achieved as city governments expand land supply while maintaining stable land prices to generate additional land revenue. However, we find this land-based fiscal-consolidation measure bears unintended costs: it has led to excessive urban expansion, amplified the risk of the housing market, and increased commuting costs. A one-percentage-point drop in export growth correlates with a yearly increase of 124 million USD in commuting costs caused by the land oversupply in China. Further, this measure is becoming less sustainable as its preconditions (abundant developable land and robust demand) become increasingly difficult to meet.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103796"},"PeriodicalIF":4.8,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-15DOI: 10.1016/j.jue.2025.103791
David Wylie , Natee Amornsiripanitch , John Heilbron , Kevin Zhao
This paper combines data on residential property-level physical risk from major climate-related perils (severe convective storm, inland flood, hurricane storm surge, hurricane wind, winter storm, and wildfire) with data on local economic characteristics to establish three facts about the severity of and five facts about the demographic distribution of this class of risk in the contiguous United States. On the severity of climate-related physical risk, we find (i) severe convective storms are the leading contributor to expected damage, (ii) inland flood and hurricane-related perils drive aggregate tail risk, and (iii) the difference in risk level between the safest and the riskiest places is expected to grow by 2050. On the demographic distribution of risk, we find (i) the safest areas have the most expensive homes, (ii) levels of economic well-being are lower in risky areas, (iii) there is little relationship between local racial composition and risk level, (iv) rural areas face the highest risks, and (v) there is no evidence of lower aggregate development activity or in-migration in risky areas. These facts are an important foundation for climate risk-mitigation policymaking and academic research on how the U.S. population view and respond to this class of risk.
{"title":"JUE Insights: Who bears climate-related physical risk?","authors":"David Wylie , Natee Amornsiripanitch , John Heilbron , Kevin Zhao","doi":"10.1016/j.jue.2025.103791","DOIUrl":"10.1016/j.jue.2025.103791","url":null,"abstract":"<div><div>This paper combines data on residential property-level physical risk from major climate-related perils (severe convective storm, inland flood, hurricane storm surge, hurricane wind, winter storm, and wildfire) with data on local economic characteristics to establish three facts about the severity of and five facts about the demographic distribution of this class of risk in the contiguous United States. On the severity of climate-related physical risk, we find (i) severe convective storms are the leading contributor to expected damage, (ii) inland flood and hurricane-related perils drive aggregate tail risk, and (iii) the difference in risk level between the safest and the riskiest places is expected to grow by 2050. On the demographic distribution of risk, we find (i) the safest areas have the most expensive homes, (ii) levels of economic well-being are lower in risky areas, (iii) there is little relationship between local racial composition and risk level, (iv) rural areas face the highest risks, and (v) there is no evidence of lower aggregate development activity or in-migration in risky areas. These facts are an important foundation for climate risk-mitigation policymaking and academic research on how the U.S. population view and respond to this class of risk.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103791"},"PeriodicalIF":4.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-06DOI: 10.1016/j.jue.2025.103784
Jaehee Song
I construct a new nationwide dataset to measure the stringency of residential zoning in the United States and examine its effects on housing production, prices, and demographic sorting. First, I develop and implement a structural break detection algorithm to infer minimum lot size regulations. The dataset spans over 16,000 local jurisdictions within Core-Based Statistical Areas, capturing both cross-jurisdictional and within-jurisdictional variation in zoning stringency. I find that 18.5 percent of single-family home constructions bunch at the minimum lot size threshold, suggesting that these zoning requirements are binding for a substantial share of single-family development. Second, I estimate the effects of these regulations on housing market outcomes, exploiting variation across nearby zoning districts within municipal border regions. The results show that minimum lot size regulations increase home sizes, sales prices, and rents. Moreover, restrictive zoning disproportionately attracts high-income white homeowners, reinforcing patterns of residential segregation.
{"title":"The effects of residential zoning in U.S. housing markets","authors":"Jaehee Song","doi":"10.1016/j.jue.2025.103784","DOIUrl":"10.1016/j.jue.2025.103784","url":null,"abstract":"<div><div>I construct a new nationwide dataset to measure the stringency of residential zoning in the United States and examine its effects on housing production, prices, and demographic sorting. First, I develop and implement a structural break detection algorithm to infer minimum lot size regulations. The dataset spans over 16,000 local jurisdictions within Core-Based Statistical Areas, capturing both cross-jurisdictional and within-jurisdictional variation in zoning stringency. I find that 18.5 percent of single-family home constructions bunch at the minimum lot size threshold, suggesting that these zoning requirements are binding for a substantial share of single-family development. Second, I estimate the effects of these regulations on housing market outcomes, exploiting variation across nearby zoning districts within municipal border regions. The results show that minimum lot size regulations increase home sizes, sales prices, and rents. Moreover, restrictive zoning disproportionately attracts high-income white homeowners, reinforcing patterns of residential segregation.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103784"},"PeriodicalIF":4.8,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-30DOI: 10.1016/j.jue.2025.103795
Antung A. Liu , Yucheng Wang , Lei Zhang
Investments in urban light rail are meant to replace driving and alleviate emissions from road transportation, but little research has documented the direct link between alternative subway policies and gasoline consumption, leaving it unclear which subway policies are more efficient. Based on a unique dataset from a major gasoline retailer in China, this paper compares the effect of expanding the subway network with that of revising the fare. We find that both subway expansion and the fare change significantly impact gasoline consumption in the short run, but the effect of expanding the subway network is larger and more durable. A cost–benefit calculation also finds that subway network expansion is more cost-effective in reducing driving than changing the fare.
{"title":"The effect of subway policies on gasoline consumption: Subway expansion versus fare changes","authors":"Antung A. Liu , Yucheng Wang , Lei Zhang","doi":"10.1016/j.jue.2025.103795","DOIUrl":"10.1016/j.jue.2025.103795","url":null,"abstract":"<div><div>Investments in urban light rail are meant to replace driving and alleviate emissions from road transportation, but little research has documented the direct link between alternative subway policies and gasoline consumption, leaving it unclear which subway policies are more efficient. Based on a unique dataset from a major gasoline retailer in China, this paper compares the effect of expanding the subway network with that of revising the fare. We find that both subway expansion and the fare change significantly impact gasoline consumption in the short run, but the effect of expanding the subway network is larger and more durable. A cost–benefit calculation also finds that subway network expansion is more cost-effective in reducing driving than changing the fare.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103795"},"PeriodicalIF":4.8,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-30DOI: 10.1016/j.jue.2025.103790
Hanchen Jiang , Luis Quintero , Xi Yang
This paper proposes and tests the hypothesis that rent control increases tenant unemployment. Using microdata from New York City between 2002 and 2017, we find that rent stabilization increases tenants’ probability of unemployment by more than four percentage points, and the effect is especially pronounced among tenants with unearned income. To address endogeneity concerns, we employ an instrumental variable strategy that exploits the local relative availability of rent-stabilized units at the time of move-in as an exogenous source of variation. We propose a job-search model to explain the disincentive channel underlying our results. These findings highlight the potential unintended consequences of rent control.
{"title":"Does rent control increase tenant unemployment?","authors":"Hanchen Jiang , Luis Quintero , Xi Yang","doi":"10.1016/j.jue.2025.103790","DOIUrl":"10.1016/j.jue.2025.103790","url":null,"abstract":"<div><div>This paper proposes and tests the hypothesis that rent control increases tenant unemployment. Using microdata from New York City between 2002 and 2017, we find that rent stabilization increases tenants’ probability of unemployment by more than four percentage points, and the effect is especially pronounced among tenants with unearned income. To address endogeneity concerns, we employ an instrumental variable strategy that exploits the local relative availability of rent-stabilized units at the time of move-in as an exogenous source of variation. We propose a job-search model to explain the disincentive channel underlying our results. These findings highlight the potential unintended consequences of rent control.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103790"},"PeriodicalIF":4.8,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-30DOI: 10.1016/j.jue.2025.103794
Rahul R. Gupta , Viviana Rodriguez
We study the impact of large firm entry on local public education by comparing school districts in counties that win a Million Dollar Plant (MDP) to runner-up counties. Winning an MDP increases school district revenues by approximately 3%, primarily through higher local property tax collections. While total per pupil revenue rises modestly, we find gains in instructional spending and small improvements in test scores. Effects vary by firm type: manufacturing MDPs are associated with greater capital outlays but limited achievement gains, whereas high-tech MDPs see increased instructional spending and improved proficiency. Districts with MDPs in highly educated industries exhibit larger increases in instructional spending and student outcomes, even when overall revenue gains are similar.
{"title":"Firms for funding: The effect of Million Dollar Plants on school finances and student achievement","authors":"Rahul R. Gupta , Viviana Rodriguez","doi":"10.1016/j.jue.2025.103794","DOIUrl":"10.1016/j.jue.2025.103794","url":null,"abstract":"<div><div>We study the impact of large firm entry on local public education by comparing school districts in counties that win a Million Dollar Plant (MDP) to runner-up counties. Winning an MDP increases school district revenues by approximately 3%, primarily through higher local property tax collections. While total per pupil revenue rises modestly, we find gains in instructional spending and small improvements in test scores. Effects vary by firm type: manufacturing MDPs are associated with greater capital outlays but limited achievement gains, whereas high-tech MDPs see increased instructional spending and improved proficiency. Districts with MDPs in highly educated industries exhibit larger increases in instructional spending and student outcomes, even when overall revenue gains are similar.</div></div>","PeriodicalId":48340,"journal":{"name":"Journal of Urban Economics","volume":"149 ","pages":"Article 103794"},"PeriodicalIF":4.8,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}