{"title":"Who Bears the Brunt of Disruptive Innovation? The Effect of Grocery E-Commerce on Local Retail Competitors","authors":"Brian Y. An, Jamie Chung","doi":"10.1111/jors.12765","DOIUrl":"https://doi.org/10.1111/jors.12765","url":null,"abstract":"<p>The rising prominence of e-commerce has raised concerns regarding its potential threat to local businesses. However, existing literature lacks substantial empirical evidence of the impact of e-retailers due to its ambiguous service areas. Our study aims to address this gap by focusing on e-grocery giants Amazon Fresh and Instacart to examine their influences on local brick-and-mortar businesses within the grocery retail industry. We leverage e-grocery's clearly defined service areas at the zip code level to employ a difference-in-difference approach with longitudinal establishment-level records from the National Establishment Times Series (NETS) database in the greater Atlanta metropolitan area. We find that retail competitors experience an annual decline in sales following Amazon Fresh's entry into the local market. In response, these retailers partially adjust operations, reducing their headcount. Notably, the negative impacts disproportionately affect small businesses, and the effects are spatially widespread, irrespective of proximity to major retail clusters anchored by big-box stores. Over time, the presence and continuous operations of Amazon Fresh that offers both sales and delivery of goods exert a heavier burden on local retail stores. In contrast, we do not find such evidence of disruptive effects for Instacart, which is increasingly becoming a dominant grocery e-commerce model in partnership with local store chains over independent operations.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"843-865"},"PeriodicalIF":3.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12765","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Johan Klaesson, José Lobo, Charlotta Mellander, Sofia Wixe
{"title":"Do Neighborhoods Matter for Individual Decision-Making? The Case of COVID-19 Vaccination in Sweden","authors":"Johan Klaesson, José Lobo, Charlotta Mellander, Sofia Wixe","doi":"10.1111/jors.12767","DOIUrl":"https://doi.org/10.1111/jors.12767","url":null,"abstract":"<p>Much research has highlighted the significance of neighborhood effects on individual-level choices and outcomes. But it has proven difficult to disentangle the influence of those that an individual shares a residential space with from that of other peers, such as work colleagues and family members. Neighbors, work colleagues, and family members constitute different sources of information. The decision to accept or refuse a vaccine is intensely personal and involves the processing of information about phenomena likely to be unfamiliar to most individuals. To examine the information effect of different peer groups we use microlevel data on COVID-19 vaccination in Sweden. We investigate the extent to which an individual's decision not to get vaccinated is influenced by the presence of other unvaccinated individuals in their household, workplace, or residential neighborhood. Our findings reveal that workplace peers tend to be most strongly connected to the decision not to get vaccinated. We also find that the role of neighborhood peers tends to be overestimated when we do not control for peers at home and at work.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"866-886"},"PeriodicalIF":3.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12767","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ignacio Belloc, José Ignacio Gimenez-Nadal, José Alberto Molina
{"title":"Weather Conditions and Daily Commuting","authors":"Ignacio Belloc, José Ignacio Gimenez-Nadal, José Alberto Molina","doi":"10.1111/jors.12764","DOIUrl":"https://doi.org/10.1111/jors.12764","url":null,"abstract":"<p>Climate change and global warming are severe threats that currently affect the daily lives of the world population. One of the human behaviors that can be most affected by weather conditions is that of personal travel, including commuting, an activity that millions of workers worldwide engage in daily. Within this framework, we analyze the relationships between weather conditions and daily commuting in the US. To that end, we use twenty nationally representative American Time Use Surveys, combined with daily weather data at the county level, spanning the period from 2003 to 2023. The analysis reveals significant relationships between daily weather conditions and commuting mode choices. Specifically, rainy days, high temperatures, and elevated snowfall are positively associated with an increased probability of using cars as the primary commuting mode. In contrast, these weather conditions exhibit a negative relationship with alternative modes of transport, such as public transit or walking. Further findings suggest that these estimates are predominantly driven by days characterized by extremely high temperatures, heavy precipitation, and light snowfall. Finally, our results suggest adaptation to higher temperatures in warmer regions. These results are important for the design of policies aimed at mitigating the mobility consequences of climate change.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"818-842"},"PeriodicalIF":3.2,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12764","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Regional Determinants of Attitudes Toward Immigrants in Germany","authors":"Julia Peter, Silke Uebelmesser","doi":"10.1111/jors.12763","DOIUrl":"https://doi.org/10.1111/jors.12763","url":null,"abstract":"<p>Attitudes toward immigrants play a crucial role in voting behavior. Such attitudes are shaped by individual characteristics, but also by the environment. This paper examines the role of regional factors in Germany. We use individual-level survey data and district-level administrative data. Specifically, we examine regional differences in economic growth, voting patterns, and immigrant characteristics and their relation to beliefs about and attitudes toward immigrants. We also use an information experiment about the immigrant population and assess its impact on attitudes. We find that regional effects—over and above individual characteristics—are small and depend on the attitudes.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"780-817"},"PeriodicalIF":3.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12763","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Mafia's Economic Grip: Firm Efficiency and a Composite Indicator of Organized Crime","authors":"Antonio Fabio Forgione, Carlo Migliardo","doi":"10.1111/jors.12761","DOIUrl":"https://doi.org/10.1111/jors.12761","url":null,"abstract":"<p>In Italy, organized crime poses a significant economic challenge as it reduces productivity and contributes to regional inequalities. This study investigates the influence of mafia activity on firm efficiency, with a specific focus on civil engineering companies. A composite indicator of organized crime was developed to measure its presence at the municipal level, and stochastic frontier models were employed to assess firm efficiency and input misallocation across Italian municipalities. We also estimate an Institutional Quality Indicator (IQI) to account for the impact of local institutional effectiveness on firm performance, with the results showing that higher IQI levels are associated with lower inefficiency. The findings indicate that criminal activities significantly hinder efficiency, especially in areas where organized crime is pervasive. These results underscore the urgent need for strategies to shield firms from organized crime, foster growth, and facilitate regional development.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"759-779"},"PeriodicalIF":3.2,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12761","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Climate Policy on Labor Earnings: Evidence From Low-Carbon City Pilot Policy in China","authors":"Han Li, Qian Lu","doi":"10.1111/jors.12762","DOIUrl":"https://doi.org/10.1111/jors.12762","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper use China's Low-Carbon City Pilot program as a quasi-natural experiment, combining city-level data with the China Labor Dynamics Survey (CLDS) data to empirically examine the impact of climate policies on labor earnings in the aggregate labor market. Our findings reveal that climate policies have a significant positive impact on earnings in the overall labor market without adversely affecting employment. However, climate policy has substantial distributional effects, favoring skilled workers in green industries but disadvantaging low-skilled labor. This distributional effect primarily stems from the industrial restructuring and technological upgrading in cities induced by climate policies through administrative regulations and economic incentives. Furthermore, our research indicates that the effects of climate policies on the labor market extend to the household level, raising certain social distributional concerns.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"741-758"},"PeriodicalIF":3.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Income Inequality and National Strategy for Inner Areas: Does Location Matter?","authors":"Graziella Bonanno, Filippo Domma, Lucia Errico","doi":"10.1111/jors.12755","DOIUrl":"https://doi.org/10.1111/jors.12755","url":null,"abstract":"<p>This paper examines the relationship between income inequality and municipalities classified as “inner areas” according to the classification proposed by the National Strategy for Inner Areas (NSIA) from 2012 to 2018. This classification categorizes municipalities into different groups based on their distance from essential service provision centers. By adopting a multilevel approach along with Beta Generalized Linear Mixed Models, we obtain two major results. First, inner areas show a lower income concentration index than non-inner municipalities. Ultra-peripheral municipalities manifest the greatest difference. Second, our findings show that location matters. While the sign is negative in southern and northern Italy, we find the opposite result in the central regions, where the ultra-peripheral municipalities show higher income inequality compared to non-inner areas.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"718-740"},"PeriodicalIF":3.2,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
René Belderbos, Kyoji Fukao, Kenta Ikeuchi, Young Gak Kim, Hyeog Ug Kwon
{"title":"Does Industry Agglomeration Attract Productive Firms? The Role of Product Markets in Adverse Selection","authors":"René Belderbos, Kyoji Fukao, Kenta Ikeuchi, Young Gak Kim, Hyeog Ug Kwon","doi":"10.1111/jors.12758","DOIUrl":"https://doi.org/10.1111/jors.12758","url":null,"abstract":"<p>The literature has produced mixed findings on the relationship between industry agglomeration and firm-level productivity where it concerns the self-selection of productive firms into locations characterized by different levels of industry agglomeration. We argue that the nature of this self-selection crucially depends on whether incumbent and entrant firms compete on the same market. Adverse selection of less productive firms into a location only dominates if knowledge spillovers in agglomerated locations are harmful to productive entrants: when the entrant and local incumbents target the same (domestic) product market and the entrant risks losing market share and profits. We find evidence for this notion in analysis of location decisions for new plants at the fine-grained geographical level in Japan by firms with known productivity records in the industry (multi-plant firms). We conclude that sorting processes do occur, but that the nature of these processes can only be uncovered in analysis that considers competition on product markets and accurate measures of firm heterogeneity in productivity.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"698-717"},"PeriodicalIF":3.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12758","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kerlen Andrade Do Monte, Guilherme Irffi, Felipe de Sousa Bastos, Diego Rafael Fonseca Carneiro
{"title":"Analysis of the Northeast Constitutional Financing Fund (FNE) on Municipal Economic Indicators in the Period 2010–2020","authors":"Kerlen Andrade Do Monte, Guilherme Irffi, Felipe de Sousa Bastos, Diego Rafael Fonseca Carneiro","doi":"10.1111/jors.12759","DOIUrl":"https://doi.org/10.1111/jors.12759","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper aims to evaluate the effects of the Constitutional Fund for Financing the Northeast (FNE) on the regional economy during the period from 2010 to 2020. To achieve this objective, we used the Generalized Propensity Score (GPS) econometric methodology, applying the analysis of dose–response functions proposed by Imbens (2000) and Hirano and Imbens (2004). We found evidence of positive and increasing impacts on the economic indicators of the municipalities benefiting from the FNE. Notably, we observed significant effects on Average Income, GDP per capita and Wage Mass when the resources were directed to women and legal entities. The results also suggest that there is some heterogeneity in the effect of the FNE according to the magnitude of the volume of credit contracted, with the exception of Average Income, which does not show an effect when the resources were contracted by women. In the case of total transfers, positive impacts on average income, GDP per capita and wage mass were observed only in the last levels of treatment. In summary, we can infer that FNE resources have a positive impact on the economic indicators of municipalities with higher contracted values.</p></div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"678-697"},"PeriodicalIF":3.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Did You Miss the Ride? Housing Boom and Household Wealth in China","authors":"Hongliang Sun, Youmeng Wu, Xianzhu Wang, Rui Wang","doi":"10.1111/jors.12747","DOIUrl":"https://doi.org/10.1111/jors.12747","url":null,"abstract":"<div>\u0000 \u0000 <p>In the two decades following housing privatization, housing quickly dominated Chinese urban household wealth growth and inequality. We test hypotheses derived from a housing investment production function in China's unique context against multiyear microdata. During 2011–2019, housing wealth of different birth cohorts followed disparate paths, with clear spatial, socioeconomic and social identity-based polarization. The biggest winners in China's housing boom were the well-educated in superstar cities. 5%–10% of the young homeowners born since the late 1970s, especially those born since mid-1980s, seem most vulnerable in a housing bust or when facing a negative income shock.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 3","pages":"654-677"},"PeriodicalIF":3.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144256391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}