Pub Date : 2025-11-29DOI: 10.1016/j.apgeog.2025.103855
Jiangbin Yin , Guixiang Yi , Ruiguang Ma , Le Chen , Shuhan Yang
Increased return migration and digitalization have opened up new opportunities for growth in rural areas and narrowed the urban-rural divide. However, there is still a lack of empirical evidence regarding the effect of regional digitalization on the entrepreneurship among return migrants. Based on the 2010–2018 China Family Panel Studies (CFPS) data and regional digitalization data, we explore the impact of digitalization in hometowns on return migrants' entrepreneurial decisions and its internal mechanism by using a panel modelling approach. we find that the level of digitalization in the hometown is significantly associated with an increased likelihood of returnee entrepreneurship, and the findings are robust, which reflect a potential promoting effect based on our causal identification design. Specifically, regional digitalization is linked to a higher entrepreneurial probability mainly through potential channels of promoting internet use and alleviating financing constraints, while the impact of improving government administration is not tested. The study also finds that the impact of digitalization on returnee entrepreneurship varies across individuals and regions. Our findings have important implications for research and practice on rural entrepreneurship in the digital era.
回流人口和数字化的增加为农村地区的发展提供了新的机遇，缩小了城乡差距。然而，关于区域数字化对返乡农民工创业的影响，目前还缺乏实证证据。基于2010-2018年中国家庭面板研究（China Family Panel Studies， CFPS）数据和区域数字化数据，采用面板建模方法，探讨了数字化对返乡农民工创业决策的影响及其内在机制。研究发现，归国数字化水平与海归创业的可能性显著相关，且结果稳健，反映了基于因果识别设计的潜在促进效应。具体而言，区域数字化主要通过促进互联网使用和缓解融资约束的潜在渠道与更高的创业概率相关联，而改善政府管理的影响尚未得到检验。研究还发现，数字化对海归创业的影响因个人和地区而异。研究结果对数字时代农村创业的研究与实践具有重要启示意义。
{"title":"Does the digitalization of hometowns promote return migrants’ entrepreneurship? Empirical evidence from panel data for China","authors":"Jiangbin Yin , Guixiang Yi , Ruiguang Ma , Le Chen , Shuhan Yang","doi":"10.1016/j.apgeog.2025.103855","DOIUrl":"10.1016/j.apgeog.2025.103855","url":null,"abstract":"<div><div>Increased return migration and digitalization have opened up new opportunities for growth in rural areas and narrowed the urban-rural divide. However, there is still a lack of empirical evidence regarding the effect of regional digitalization on the entrepreneurship among return migrants. Based on the 2010–2018 China Family Panel Studies (CFPS) data and regional digitalization data, we explore the impact of digitalization in hometowns on return migrants' entrepreneurial decisions and its internal mechanism by using a panel modelling approach. we find that the level of digitalization in the hometown is significantly associated with an increased likelihood of returnee entrepreneurship, and the findings are robust, which reflect a potential promoting effect based on our causal identification design. Specifically, regional digitalization is linked to a higher entrepreneurial probability mainly through potential channels of promoting internet use and alleviating financing constraints, while the impact of improving government administration is not tested. The study also finds that the impact of digitalization on returnee entrepreneurship varies across individuals and regions. Our findings have important implications for research and practice on rural entrepreneurship in the digital era.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103855"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-29DOI: 10.1016/j.apgeog.2025.103848
Sławomir Kuźmar , Beata Woźniak-Jęchorek , David Bole
This study assesses how the growing availability of working from home (WFH) shapes office employees' preferences to move to the suburbs and pinpoints potential factors that drive those intentions. We focus on Poland, where the housing market is shaped by exceptionally high home-ownership rates and specific suburbanisation patterns. We surveyed city-dwelling office employees (living in municipalities of 100,000 or more) to gauge their willingness to relocate. Logistic-regression estimates then linked those intentions to respondents’ demographics, job attributes, commuting patterns, and WFH and on-site work-related factors. The results indicate that preference for remote work, its perceived impact on productivity, and private-sector employment are the strongest predictors of relocation willingness, while older age and high commuting convenience reduce such interest. Overall, the evidence suggests that remote work, especially in hybrid form, could become an additional catalyst for suburban expansion in markets characterised by scarce affordable rentals and a strong preference for home ownership, such as Poland.
{"title":"Will remote work drive a new wave of suburbanisation in Poland? Analysing the relocation preferences of Polish office employees","authors":"Sławomir Kuźmar , Beata Woźniak-Jęchorek , David Bole","doi":"10.1016/j.apgeog.2025.103848","DOIUrl":"10.1016/j.apgeog.2025.103848","url":null,"abstract":"<div><div>This study assesses how the growing availability of working from home (WFH) shapes office employees' preferences to move to the suburbs and pinpoints potential factors that drive those intentions. We focus on Poland, where the housing market is shaped by exceptionally high home-ownership rates and specific suburbanisation patterns. We surveyed city-dwelling office employees (living in municipalities of 100,000 or more) to gauge their willingness to relocate. Logistic-regression estimates then linked those intentions to respondents’ demographics, job attributes, commuting patterns, and WFH and on-site work-related factors. The results indicate that preference for remote work, its perceived impact on productivity, and private-sector employment are the strongest predictors of relocation willingness, while older age and high commuting convenience reduce such interest. Overall, the evidence suggests that remote work, especially in hybrid form, could become an additional catalyst for suburban expansion in markets characterised by scarce affordable rentals and a strong preference for home ownership, such as Poland.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103848"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-29DOI: 10.1016/j.apgeog.2025.103851
Yang Yang , Yi Guo , Senlin Hu , Erling Li , Wei Zhao , Gang Zeng
Constructing Eco-Innovation networks is an effective way to improve innovation capabilities and drive high-quality development. It constructs an indicator system for measuring the environmental benefits of cities at the prefecture level. We quantitatively measure the environmental benefits of cities using the super-efficiency SBM model. Using the PVAR model, we explore the long-term dynamic relationship between eco-Innovation networks and urban environmental benefits. The analysis finds that: ①For core node cities in the eco-Innovation networks, the network has a positive impact on their environmental benefits, but this effect is irregular in the long term. The positive effect of environmental benefits from core node cities on the eco-Innovation networks is weak, smaller than the impact of the networks on the environmental benefits of core node cities. ②For sub-core node cities in the eco-Innovation networks, the network has a strong and sustained positive impact on their environmental benefits, and this impact deepens over time. However, the environmental benefits of sub-core node cities have a short-term negative impact on the eco-Innovation networks. ③For peripheral node cities in the eco-Innovation networks, there is a small mutual promotion between the networks and the environmental benefits of peripheral cities, with both maintaining stability and having minimal mutual influence.
{"title":"The regional environmental benefits and heterogeneity of eco-innovation networks: Evidence from the Yangtze River Economic Belt in China","authors":"Yang Yang , Yi Guo , Senlin Hu , Erling Li , Wei Zhao , Gang Zeng","doi":"10.1016/j.apgeog.2025.103851","DOIUrl":"10.1016/j.apgeog.2025.103851","url":null,"abstract":"<div><div>Constructing Eco-Innovation networks is an effective way to improve innovation capabilities and drive high-quality development. It constructs an indicator system for measuring the environmental benefits of cities at the prefecture level. We quantitatively measure the environmental benefits of cities using the super-efficiency SBM model. Using the PVAR model, we explore the long-term dynamic relationship between eco-Innovation networks and urban environmental benefits. The analysis finds that: ①For core node cities in the eco-Innovation networks, the network has a positive impact on their environmental benefits, but this effect is irregular in the long term. The positive effect of environmental benefits from core node cities on the eco-Innovation networks is weak, smaller than the impact of the networks on the environmental benefits of core node cities. ②For sub-core node cities in the eco-Innovation networks, the network has a strong and sustained positive impact on their environmental benefits, and this impact deepens over time. However, the environmental benefits of sub-core node cities have a short-term negative impact on the eco-Innovation networks. ③For peripheral node cities in the eco-Innovation networks, there is a small mutual promotion between the networks and the environmental benefits of peripheral cities, with both maintaining stability and having minimal mutual influence.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103851"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-29DOI: 10.1016/j.apgeog.2025.103852
Kang Sun , Yuefang Si , Yi Zhang
This study investigates the spatial distribution and key factors associated with Chinese firms' R&D internationalization by using overseas patent application data from 1273 Chinese firms filed with the United States Patent and Trademark Office (USPTO) over the period 2012–2019. We construct a global inventor network of Chinese firms, focusing on the role of firm-level internal motivations (the breadth and depth of firm's overseas R&D) and the position of cities within this network. Our analysis reveals that information and communications technology (ICT) firms, such as Huawei, dominate these activities, with Shenzhen emerging as a key hub. Chinese firms' R&D internationalization is primarily directed towards major innovation clusters in North America and Europe, including the San Francisco Bay Area and Munich. Using a panel negative binomial fixed-effects model, we find the degree centrality of overseas cities within the global R&D network is positively associated with their attractiveness for Chinese firms. This paper presents a collection of stylized facts about the patterns of Chinese firms' R&D internationalization. Moreover, there is a U-shaped relationship between the breadth of overseas R&D and technological exploration, and an inverted U-shaped relationship between the depth of overseas R&D and technological exploration.
{"title":"Chinese firms’ R&D internationalization: Leveraging global inventor networks for technological exploration","authors":"Kang Sun , Yuefang Si , Yi Zhang","doi":"10.1016/j.apgeog.2025.103852","DOIUrl":"10.1016/j.apgeog.2025.103852","url":null,"abstract":"<div><div>This study investigates the spatial distribution and key factors associated with Chinese firms' R&D internationalization by using overseas patent application data from 1273 Chinese firms filed with the United States Patent and Trademark Office (USPTO) over the period 2012–2019. We construct a global inventor network of Chinese firms, focusing on the role of firm-level internal motivations (the breadth and depth of firm's overseas R&D) and the position of cities within this network. Our analysis reveals that information and communications technology (ICT) firms, such as Huawei, dominate these activities, with Shenzhen emerging as a key hub. Chinese firms' R&D internationalization is primarily directed towards major innovation clusters in North America and Europe, including the San Francisco Bay Area and Munich. Using a panel negative binomial fixed-effects model, we find the degree centrality of overseas cities within the global R&D network is positively associated with their attractiveness for Chinese firms. This paper presents a collection of stylized facts about the patterns of Chinese firms' R&D internationalization. Moreover, there is a U-shaped relationship between the breadth of overseas R&D and technological exploration, and an inverted U-shaped relationship between the depth of overseas R&D and technological exploration.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103852"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-28DOI: 10.1016/j.apgeog.2025.103849
Francisco Sánchez-Cubo, Carlos G. Benavides-Chicón, José Luis Sánchez-Ollero
This study focuses on analysing beer, as a crucial element for dining, in portraying the destination image through depicting local images of where it is produced. A supply-side analysis was conducted using descriptive and K-prototype clustering analyses, which incorporated quantitative and qualitative data from an ad hoc database containing craft and industrial beers, to help answer the stated objectives. The results illustrate that, in the Spanish case, the relationship between craft beer and neolocalism may lack support since few local representations are found in craft or industrial beer labelling. Also, four beer clusters were found, allowing a more in-depth understanding of the beer scene in Spain. The findings shed light on the beer phenomenon from a multidimensional approach, combining market information (price, style, format, alcohol content), findings on neolocalism (labelling) and beer groups from clustering. This study is the first to comprehensively analyse the beer scene, combining quantitative and qualitative analysis from the supply side. The results have substantial implications for producers and tourism stakeholders, as they demonstrate there is room for strengthening the link between local imagery, destination identity and beer branding.
{"title":"A supply-side analysis of the craft beer scene in Spain","authors":"Francisco Sánchez-Cubo, Carlos G. Benavides-Chicón, José Luis Sánchez-Ollero","doi":"10.1016/j.apgeog.2025.103849","DOIUrl":"10.1016/j.apgeog.2025.103849","url":null,"abstract":"<div><div>This study focuses on analysing beer, as a crucial element for dining, in portraying the destination image through depicting local images of where it is produced. A supply-side analysis was conducted using descriptive and K-prototype clustering analyses, which incorporated quantitative and qualitative data from an ad hoc database containing craft and industrial beers, to help answer the stated objectives. The results illustrate that, in the Spanish case, the relationship between craft beer and neolocalism may lack support since few local representations are found in craft or industrial beer labelling. Also, four beer clusters were found, allowing a more in-depth understanding of the beer scene in Spain. The findings shed light on the beer phenomenon from a multidimensional approach, combining market information (price, style, format, alcohol content), findings on neolocalism (labelling) and beer groups from clustering. This study is the first to comprehensively analyse the beer scene, combining quantitative and qualitative analysis from the supply side. The results have substantial implications for producers and tourism stakeholders, as they demonstrate there is room for strengthening the link between local imagery, destination identity and beer branding.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103849"},"PeriodicalIF":5.4,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-26DOI: 10.1016/j.apgeog.2025.103847
Qinran Yang, Xidan Hu, Yanan Liu, Linchuan Yang
Neighborhood renewal is considered a strategy for reducing place-based health inequalities. However, evidence suggests that such interventions can produce uneven mental health impacts. Drawing on the capability approach, this study explains how sociodemographic characteristics, neighborhood environmental changes, and individual agency, manifesting as perceptual and behavioral adaptation, interact to create intra-community mental well-being disparities. Through latent class regression analysis on survey data from 1127 residents across 16 neighborhoods in Chengdu, China, the study identifies three subgroups who experience renewal differently: higher-income older female natives, lower-income young male migrants, and the lowest-income young female migrants. First, sociodemographic characteristics establish patterned variations in environmental exposure and perceptions among the three subgroups. Specifically, lower-income young migrants are less exposed to beneficial environmental changes than higher-income local older women. These groups demonstrate distinct environmental perception patterns categorized as affection-oriented, development-oriented, and survival-oriented. Second, environmental changes exert temporally and socially heterogeneous effects on the three groups' mental well-being by altering health-related resource access. With environmental transformations intensifying, the health benefits for the first group continue to grow, while the benefits for the latter two groups initially rise but later decline. Finally, individuals’ strategic environmental perceptions further reshape health disparities. The study contributes to the multiple and interconnected causal pathways through which neighborhood renewal impacts mental well-being inequalities. It unravels the constraints imposed by structural factors on the environment-health and agency-health associations and the pathways and mechanisms through which environmental interventions and individual agency may overcome such constraints, which generates valuable insights for developing equity-oriented renewal policies.
{"title":"Heterogeneous effects of neighborhood renewal on mental well-being: A capability approach to analyzing complex causal pathways","authors":"Qinran Yang, Xidan Hu, Yanan Liu, Linchuan Yang","doi":"10.1016/j.apgeog.2025.103847","DOIUrl":"10.1016/j.apgeog.2025.103847","url":null,"abstract":"<div><div>Neighborhood renewal is considered a strategy for reducing place-based health inequalities. However, evidence suggests that such interventions can produce uneven mental health impacts. Drawing on the capability approach, this study explains how sociodemographic characteristics, neighborhood environmental changes, and individual agency, manifesting as perceptual and behavioral adaptation, interact to create intra-community mental well-being disparities. Through latent class regression analysis on survey data from 1127 residents across 16 neighborhoods in Chengdu, China, the study identifies three subgroups who experience renewal differently: higher-income older female natives, lower-income young male migrants, and the lowest-income young female migrants. First, sociodemographic characteristics establish patterned variations in environmental exposure and perceptions among the three subgroups. Specifically, lower-income young migrants are less exposed to beneficial environmental changes than higher-income local older women. These groups demonstrate distinct environmental perception patterns categorized as affection-oriented, development-oriented, and survival-oriented. Second, environmental changes exert temporally and socially heterogeneous effects on the three groups' mental well-being by altering health-related resource access<em>.</em> With environmental transformations intensifying, the health benefits for the first group continue to grow, while the benefits for the latter two groups initially rise but later decline. Finally, individuals’ strategic environmental perceptions further reshape health disparities. The study contributes to the multiple and interconnected causal pathways through which neighborhood renewal impacts mental well-being inequalities. It unravels the constraints imposed by structural factors on the environment-health and agency-health associations and the pathways and mechanisms through which environmental interventions and individual agency may overcome such constraints, which generates valuable insights for developing equity-oriented renewal policies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103847"},"PeriodicalIF":5.4,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-26DOI: 10.1016/j.apgeog.2025.103841
Izabela Iwona Zabielska , Anna Klimach , Agnieszka Dawidowicz
Cross-border cooperation is shaped by the permeability and functions of state borders, yet the impact of specific determinants under varying traffic regimes remains underexplored. This study examines the Polish–Russian border, which has shifted between three distinct regimes over the past two decades: the visa regime (2006), the local border traffic agreement (2013), and the border closure following the war in Ukraine (2023). A survey of local governments in three Polish border towns—Bartoszyce, Braniewo, and Gołdap—was conducted to evaluate and rank factors influencing cooperation across these different political and institutional contexts.
The results reveal a dynamic evolution of perceived drivers and barriers of cross-border cooperation. Economic factors dominated in 2006, when cross-border exchange was viewed both as an opportunity and a burden due to visa-related costs. Under the semi-permeable regime in 2013, their importance declined as trade normalized and transaction costs fell. In 2023, following the border closure, economic drivers weakened further, while economic barriers—linked to the loss of markets—regained significance. Institutional barriers persisted across all periods, reflecting long-term asymmetry between EU and Russian governance systems. Social factors fluctuated: they were highly significant under restrictive conditions in 2006, declined during institutionalized cooperation in 2013, and re-emerged in 2023 as residual channels of resilience when formal cooperation collapsed. Cognitive factors remained weak throughout, suggesting limited knowledge exchange and persistent stereotypes, while geographical proximity played a negligible role.
By comparing three consecutive regimes, the study demonstrates that the trajectory of cross-border cooperation was primarily determined by political and institutional frameworks, with local actors adapting to external conditions rather than shaping them. Nevertheless, the resurgence of social drivers during border closure highlights the latent resilience of local communities and their potential for future re-engagement.
This study introduces a novel classification and ranking of determinants of cross-border cooperation and offers a replicable analytical framework for assessing cooperation dynamics under varying border permeability. The findings provide practical guidance for policymakers and local authorities seeking to sustain cooperation and social resilience in politically asymmetric and volatile border regions.
{"title":"Identification of factors influencing cooperation between border towns in different border traffic regimes","authors":"Izabela Iwona Zabielska , Anna Klimach , Agnieszka Dawidowicz","doi":"10.1016/j.apgeog.2025.103841","DOIUrl":"10.1016/j.apgeog.2025.103841","url":null,"abstract":"<div><div>Cross-border cooperation is shaped by the permeability and functions of state borders, yet the impact of specific determinants under varying traffic regimes remains underexplored. This study examines the Polish–Russian border, which has shifted between three distinct regimes over the past two decades: the visa regime (2006), the local border traffic agreement (2013), and the border closure following the war in Ukraine (2023). A survey of local governments in three Polish border towns—Bartoszyce, Braniewo, and Gołdap—was conducted to evaluate and rank factors influencing cooperation across these different political and institutional contexts.</div><div>The results reveal a dynamic evolution of perceived drivers and barriers of cross-border cooperation. Economic factors dominated in 2006, when cross-border exchange was viewed both as an opportunity and a burden due to visa-related costs. Under the semi-permeable regime in 2013, their importance declined as trade normalized and transaction costs fell. In 2023, following the border closure, economic drivers weakened further, while economic barriers—linked to the loss of markets—regained significance. Institutional barriers persisted across all periods, reflecting long-term asymmetry between EU and Russian governance systems. Social factors fluctuated: they were highly significant under restrictive conditions in 2006, declined during institutionalized cooperation in 2013, and re-emerged in 2023 as residual channels of resilience when formal cooperation collapsed. Cognitive factors remained weak throughout, suggesting limited knowledge exchange and persistent stereotypes, while geographical proximity played a negligible role.</div><div>By comparing three consecutive regimes, the study demonstrates that the trajectory of cross-border cooperation was primarily determined by political and institutional frameworks, with local actors adapting to external conditions rather than shaping them. Nevertheless, the resurgence of social drivers during border closure highlights the latent resilience of local communities and their potential for future re-engagement.</div><div>This study introduces a novel classification and ranking of determinants of cross-border cooperation and offers a replicable analytical framework for assessing cooperation dynamics under varying border permeability. The findings provide practical guidance for policymakers and local authorities seeking to sustain cooperation and social resilience in politically asymmetric and volatile border regions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103841"},"PeriodicalIF":5.4,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-26DOI: 10.1016/j.apgeog.2025.103843
Ding Ma , Canpeng Li , Ming Liu , Lili Deng , Honglin Zhu , Mats Sandberg , Zhengdong Huang
This study aims to understand a nuanced intra-urban PM2.5 distribution pattern and provide insights into the environmental consequences of urban development. Inspired by the impact that the urban-rural divide has had on nation-wide urbanization progress, the study approaches urban areas as a series of hotspots and non-hotspots, applying Zipf's law-ruled spatial clustering method on nighttime light data. We found that PM2.5 concentrations and exposures in China decreased notably from 2005 to 2020, affirming the efficacy of that country's air pollution control policies. However, the difference in exposure between hotspot and non-hotspot regions indicates that outside-hotspot PM2.5 exposures across most cities consistently exceeded within-hotspot ones, despite the observed declining trend in exposure disparity during the 15-year time span. The diminishment in exposure disparity primarily stems from the reduction in PM2.5 levels rather than targeted equity measures. All of these outcomes point to the importance of integrating air quality management with broader city planning, economic, and health policies.
{"title":"Beyond urban–rural divide: urban hotspots benefit more than non-hotspots in PM2.5 reduction","authors":"Ding Ma , Canpeng Li , Ming Liu , Lili Deng , Honglin Zhu , Mats Sandberg , Zhengdong Huang","doi":"10.1016/j.apgeog.2025.103843","DOIUrl":"10.1016/j.apgeog.2025.103843","url":null,"abstract":"<div><div>This study aims to understand a nuanced intra-urban PM<sub>2.5</sub> distribution pattern and provide insights into the environmental consequences of urban development. Inspired by the impact that the urban-rural divide has had on nation-wide urbanization progress, the study approaches urban areas as a series of hotspots and non-hotspots, applying Zipf's law-ruled spatial clustering method on nighttime light data. We found that PM<sub>2.5</sub> concentrations and exposures in China decreased notably from 2005 to 2020, affirming the efficacy of that country's air pollution control policies. However, the difference in exposure between hotspot and non-hotspot regions indicates that outside-hotspot PM<sub>2.5</sub> exposures across most cities consistently exceeded within-hotspot ones, despite the observed declining trend in exposure disparity during the 15-year time span. The diminishment in exposure disparity primarily stems from the reduction in PM<sub>2.5</sub> levels rather than targeted equity measures. All of these outcomes point to the importance of integrating air quality management with broader city planning, economic, and health policies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103843"},"PeriodicalIF":5.4,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-25DOI: 10.1016/j.apgeog.2025.103844
Haotian Wang, Zidong Yu, Xintao Liu
Urban odours play a crucial role in shaping the development and liveability of urban environments. While existing research has focused on classifying and evaluating urban odours, there is a relative dearth of studies that examine odour factors from human perception. This study seeks to fill this gap by investigating the spatial distribution of urban odour perception reported by people and evaluating the correlation between these perception and various urban environment factors, including social, natural, and built factors. Using social media and multi-source spatial data, our research innovatively utilizes olfactory-related sentiment analysis to map odour perceptions, integrates a multi-dimensional environmental framework underexplored in odour research, and constructs a data-driven pipeline employing a three-step approach: firstly, keyword extraction and text sentiment analysis are utilized to map the spatial distribution of odour perception; secondly, global and local regression analysis is employed to explore the relationships between odour perception scores (OPS) and multidimensional factors of the urban environment. Thirdly, utilizing hierarchical clustering to group regions that exhibit consistency in odour perception and its influencing factors. The findings reveal distinct spatial patterns in odour perception, with significant associations to factors like population density, air pollutant concentration, and building density. Spatial clustering further identifies regions with consistent odour perception profiles, highlighting key environmental drivers that shape these patterns. These results provide a foundation for understanding the spatial distribution of odour perception and offer actionable insights for urban planning and governance. This study not only enhances the understanding of urban odours but also provides a data-driven framework for addressing perception-related urban challenges in future research.
{"title":"Data driven analysis of urban odour perception: Geospatial insights from Hong Kong","authors":"Haotian Wang, Zidong Yu, Xintao Liu","doi":"10.1016/j.apgeog.2025.103844","DOIUrl":"10.1016/j.apgeog.2025.103844","url":null,"abstract":"<div><div>Urban odours play a crucial role in shaping the development and liveability of urban environments. While existing research has focused on classifying and evaluating urban odours, there is a relative dearth of studies that examine odour factors from human perception. This study seeks to fill this gap by investigating the spatial distribution of urban odour perception reported by people and evaluating the correlation between these perception and various urban environment factors, including social, natural, and built factors. Using social media and multi-source spatial data, our research innovatively utilizes olfactory-related sentiment analysis to map odour perceptions, integrates a multi-dimensional environmental framework underexplored in odour research, and constructs a data-driven pipeline employing a three-step approach: firstly, keyword extraction and text sentiment analysis are utilized to map the spatial distribution of odour perception; secondly, global and local regression analysis is employed to explore the relationships between odour perception scores (OPS) and multidimensional factors of the urban environment. Thirdly, utilizing hierarchical clustering to group regions that exhibit consistency in odour perception and its influencing factors. The findings reveal distinct spatial patterns in odour perception, with significant associations to factors like population density, air pollutant concentration, and building density. Spatial clustering further identifies regions with consistent odour perception profiles, highlighting key environmental drivers that shape these patterns. These results provide a foundation for understanding the spatial distribution of odour perception and offer actionable insights for urban planning and governance. This study not only enhances the understanding of urban odours but also provides a data-driven framework for addressing perception-related urban challenges in future research.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103844"},"PeriodicalIF":5.4,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-24DOI: 10.1016/j.apgeog.2025.103842
Hong Ni , Jinliu Chen , Pengcheng Li , Haoqi Wang , Xianchun Zhang
Urban vitality is crucial for sustainable growth amidst accelerating urbanization and resource disparities. Limited research has explored how regional cooperation can either foster symbiotic growth or exacerbate competitive siphoning, influencing urban vitality dynamics. This study addresses this gap by developing a machine learning-based text mining to classify regional cooperation affairs and applying the Bayesian Best-Worst Model to weigh urban vitality sub-dimensions, incorporating economic, social, and environmental factors. Using Ordinary Least Squares regression, Generalized Linear Model for lagged effects, and Multiscale Geographically Weighted Regression, we analyze the spatiotemporal effects of regional cooperation on urban vitality in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2012 to 2023, specifically distinguishing between pre- and post-COVID-19 dynamics. Our findings indicate: (1) Regional cooperation generally enhances urban vitality, with GBA cities showing resilience and sustained growth even during the pandemic, despite persistent spatial and temporal disparities. (2) Economic cooperation immediately increases social and environmental pressures, exhibiting a positive lagged effect. Institutional collaboration consistently bolsters social welfare and sustainability, highlighting the need for targeted governance; social cooperation also shows complex, sometimes negative, lagged effects on vitality. (3) Spatial heterogeneity reveals an evolving dynamic: a competitive siphoning effect was evident pre-pandemic, with core cities like Shenzhen showing limited gains. However, post-2021, core growth poles such as Hong Kong and Shenzhen derived significantly stronger vitality boosts from regional cooperation, suggesting a transition towards symbiotic growth. These findings underscore the importance of policies promoting equitable governance and deeper integration for balanced regional development and enhanced urban vitality.
{"title":"Symbiotic development or resource siphoning? Investigating the impacts of regional cooperation on urban vitality in the greater bay area pre- and post-COVID-19 pandemic","authors":"Hong Ni , Jinliu Chen , Pengcheng Li , Haoqi Wang , Xianchun Zhang","doi":"10.1016/j.apgeog.2025.103842","DOIUrl":"10.1016/j.apgeog.2025.103842","url":null,"abstract":"<div><div>Urban vitality is crucial for sustainable growth amidst accelerating urbanization and resource disparities. Limited research has explored how regional cooperation can either foster symbiotic growth or exacerbate competitive siphoning, influencing urban vitality dynamics. This study addresses this gap by developing a machine learning-based text mining to classify regional cooperation affairs and applying the Bayesian Best-Worst Model to weigh urban vitality sub-dimensions, incorporating economic, social, and environmental factors. Using Ordinary Least Squares regression, Generalized Linear Model for lagged effects, and Multiscale Geographically Weighted Regression, we analyze the spatiotemporal effects of regional cooperation on urban vitality in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2012 to 2023, specifically distinguishing between pre- and post-COVID-19 dynamics. Our findings indicate: (1) Regional cooperation generally enhances urban vitality, with GBA cities showing resilience and sustained growth even during the pandemic, despite persistent spatial and temporal disparities. (2) Economic cooperation immediately increases social and environmental pressures, exhibiting a positive lagged effect. Institutional collaboration consistently bolsters social welfare and sustainability, highlighting the need for targeted governance; social cooperation also shows complex, sometimes negative, lagged effects on vitality. (3) Spatial heterogeneity reveals an evolving dynamic: a competitive siphoning effect was evident pre-pandemic, with core cities like Shenzhen showing limited gains. However, post-2021, core growth poles such as Hong Kong and Shenzhen derived significantly stronger vitality boosts from regional cooperation, suggesting a transition towards symbiotic growth. These findings underscore the importance of policies promoting equitable governance and deeper integration for balanced regional development and enhanced urban vitality.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"186 ","pages":"Article 103842"},"PeriodicalIF":5.4,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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