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Deadly connections: Exploring body disposal patterns in homicides through victim-offender relationships 致命的联系:通过受害者与罪犯的关系来探索杀人案件中的尸体处理模式
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-12-04 DOI: 10.1016/j.apgeog.2025.103856
April Miin Miin Chai , D. Kim Rossmo , Yongmei Lu
Delayed recovery of homicide victims’ bodies poses a risk of losing crucial evidence. Body disposal sites are critical for investigations, yet existing research has mainly focused on them as a sub-category. Through an environmental criminology approach, the purpose of this research is to conduct an exploratory spatial data analysis to examine the spatial patterns of known body disposal sites as they relate to victim-offender relationships. A sample of 743 homicide cases sourced from the Homicide Investigation Tracking System (HITS) database was used in this study. Spatial patterns of known body disposal sites in Washington state were examined utilizing ArcGIS mapping and spatial statistics. Results showed significant clustering of body disposal sites within five counties in Washington State. Victims with an intimate relationship to the offender were disposed of closest to where they were last seen, often with signs of attempts to destroy evidence. In stranger-related cases, bodies were typically found farthest from major cities in remote wooded areas but were discovered sooner. Sex worker victims were disposed of farthest from their last known location and took the longest to be discovered. The implications of spatial factors and victim-offender relationships, and understanding how offenders select disposal sites—whether in residential, remote, or accessible locations—are discussed in relation to investigative efforts.
谋杀受害者尸体的延迟恢复有可能丢失关键证据。尸体处置地点是调查的关键,但现有的研究主要集中在他们作为一个子类。通过环境犯罪学方法,本研究的目的是进行探索性的空间数据分析,以研究已知尸体处置地点的空间模式,因为它们与受害者-罪犯关系有关。本研究使用了来自凶杀调查跟踪系统(HITS)数据库的743起凶杀案件样本。利用ArcGIS制图和空间统计对华盛顿州已知尸体处置地点的空间格局进行了研究。结果显示,在华盛顿州的五个县内,尸体处理地点明显聚集。与罪犯有亲密关系的受害者被处置在离他们最后一次出现的地方最近的地方,通常有企图销毁证据的迹象。在与陌生人有关的案件中,尸体通常是在远离大城市的偏远林区被发现的,但发现得更快。性工作者的受害者被丢弃的地点离他们最后一次出现的地点最远,也花了最长的时间才被发现。空间因素和受害者-犯罪者关系的影响,以及了解犯罪者如何选择处置地点-无论是在住宅,偏远还是可到达的地点-讨论了与调查工作有关的问题。
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引用次数: 0
Variety of external knowledge and industrial upgrading: Evidence from Chinese semiconductor industry 外部知识多样性与产业升级:来自中国半导体产业的证据
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-12-03 DOI: 10.1016/j.apgeog.2025.103850
Shengjun Zhu , Xudong Zhang , Wenwan Jin , Wenqing Li
External knowledge serves as a critical source of industrial upgrading, yet existing research rarely examines the heterogeneity within the external knowledge set. Using customs transaction-level data, industrial survey, and patent data of the Chinese semiconductor industry (2000–2013), this paper shows that regional access to unrelated external knowledge facilitates the downstream firms to produce end-consumer products. Such access enables these firms to broaden their knowledge base, meet diverse market demands, and achieve upgrading. In contrast, related external knowledge is more advantageous for upstream firms involved in technology-intensive production. These findings indicate that not all external knowledge uniformly contributes to local firm upgrading; rather, its impact is conditioned by firms’ local product structure and positions within the value chain. By highlighting the complex composition of external knowledge, this study offers new insights into the upgrading of high-tech industry and the intersection of EEG, GVC, and innovation studies.
外部知识是产业升级的重要来源,但现有研究很少考察外部知识集内部的异质性。本文利用2000-2013年中国半导体产业的海关交易数据、产业调查数据和专利数据,表明区域获取不相关的外部知识有利于下游企业生产终端消费产品。这种准入使这些企业能够扩大知识基础,满足多样化的市场需求,实现升级。相反,相关外部知识对从事技术密集型生产的上游企业更有利。研究结果表明,并非所有的外部知识都有助于本地企业的升级;相反,其影响取决于企业在当地的产品结构和价值链中的位置。通过突出外部知识的复杂构成,本研究对高技术产业升级以及脑电图、全球价值链和创新研究的交叉研究提供了新的见解。
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引用次数: 0
Deciphering the causes of getting lost in complex urban space: A multi-scale examination of spatial environmental indicators using multi-source data 解读复杂城市空间中迷路的原因:基于多源数据的空间环境指标的多尺度检验
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-12-02 DOI: 10.1016/j.apgeog.2025.103854
Lin Yang , Mingxia Luo , Zejun Zuo , Mei-Po Kwan , Daping Xi , Bo Wan , Shunping Zhou
Getting lost in complex urban environments is common, yet the environmental determinants of the risk of getting lost (RGL) remain poorly quantified. This study develops a multi-scale, data-driven framework that links local visual–perceptual attributes (e.g., sky visibility, scene openness, pedestrian density) with global spatial–structural metrics (e.g., road curvature, road type, land-use pattern) derived from multi-source geospatial data and image semantic segmentation. Using 3303 easy-to-get-lost (E2G) locations and 3303 matched easy-to-navigate (E2N) locations across six urban context types, we employ random forest regression to identify key environmental correlates of RGL. Results reveal strong context dependence alongside consistent cross-cutting mechanisms. In tourist areas, RGL is primarily driven by road curvature and mitigated by higher sky visibility. In transportation hubs, road type, curvature, and building density elevate RGL, whereas clearer guidance signage and more concentrated land use have protective effects. In cultural and business districts, pedestrian density is the dominant driver, with additional amplification from complex road geometry and fine-grained functional mixing. In residential areas, higher sky visibility and scene openness systematically reduce RGL, while greater building density and road curvature increase it. Across contexts, open, legible vistas are generally associated with lower RGL, whereas crowding and path complexity increase disorientation. The proposed framework achieves a peak predictive accuracy of 0.759 in transportation hubs. Although non-causal, these relationships provide an actionable evidence base for embedding wayfinding legibility into transport and urban design, emphasizing visual openness, simplified layouts, demand management, and standardized guidance to support more navigable and sustainable cities.
在复杂的城市环境中迷路是很常见的,但迷路风险的环境决定因素(RGL)仍然缺乏量化。本研究开发了一个多尺度、数据驱动的框架,将局部视觉感知属性(如天空能见度、场景开放性、行人密度)与全球空间结构指标(如道路曲率、道路类型、土地利用模式)联系起来,这些指标来自多源地理空间数据和图像语义分割。利用6种城市背景类型中的3303个易迷路(E2G)地点和3303个匹配的易导航(E2N)地点,我们采用随机森林回归来识别RGL的关键环境相关因素。结果揭示了强烈的上下文依赖以及一致的横切机制。在旅游区,RGL主要由道路曲率驱动,并因较高的天空能见度而减弱。在交通枢纽,道路类型、曲率和建筑密度提高了RGL,而更清晰的引导标志和更集中的土地利用则具有保护作用。在文化区和商务区,行人密度是主要驱动力,复杂的道路几何形状和细粒度的功能混合也会带来额外的放大。在居住区,更高的天空能见度和场景开放性系统地降低了RGL,而更大的建筑密度和道路曲率则增加了RGL。在不同的环境中,开阔、清晰的视野通常与较低的RGL相关,而拥挤和路径复杂性会增加定向障碍。该框架在交通枢纽的峰值预测精度为0.759。虽然没有因果关系,但这些关系为在交通和城市设计中嵌入寻路易读性提供了可操作的证据基础,强调视觉开放性、简化布局、需求管理和标准化指导,以支持更通航和可持续的城市。
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引用次数: 0
Does the digitalization of hometowns promote return migrants’ entrepreneurship? Empirical evidence from panel data for China 家乡数字化是否促进了返乡务工人员创业?来自中国面板数据的经验证据
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-29 DOI: 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。
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引用次数: 0
Will remote work drive a new wave of suburbanisation in Poland? Analysing the relocation preferences of Polish office employees 远程工作是否会在波兰掀起新一轮的郊区化浪潮?分析波兰办公室员工的搬迁偏好
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-29 DOI: 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.
这项研究评估了越来越多的在家工作(WFH)是如何影响办公室员工搬到郊区工作的偏好的,并指出了推动这些意愿的潜在因素。我们将重点放在波兰,那里的住房市场受到极高的住房拥有率和特定的郊区化模式的影响。我们调查了居住在城市的办公室员工(居住在10万以上的城市),以评估他们搬迁的意愿。然后,逻辑回归估计将这些意图与受访者的人口统计、工作属性、通勤模式、WFH和现场工作相关因素联系起来。结果表明,对远程工作的偏好、对生产率的感知影响和私营部门就业是迁移意愿的最强预测因素,而年龄较大和通勤便利程度高则会降低这种兴趣。总的来说,有证据表明,远程工作,特别是混合形式的远程工作,可能成为郊区扩张的额外催化剂,这些市场的特点是负担得起的租金稀缺,以及对自有住房的强烈偏好,比如波兰。
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引用次数: 0
The regional environmental benefits and heterogeneity of eco-innovation networks: Evidence from the Yangtze River Economic Belt in China 生态创新网络的区域环境效益与异质性:来自中国长江经济带的证据
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-29 DOI: 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.
构建生态创新网络是提高创新能力、推动高质量发展的有效途径。构建了地级城市环境效益测度指标体系。本文采用超效率SBM模型对城市环境效益进行了定量度量。利用PVAR模型,探讨了生态创新网络与城市环境效益之间的长期动态关系。分析发现:①对于生态创新网络中的核心节点城市,网络对其环境效益有正向影响,但这种影响在长期内是不规律的。核心节点城市环境效益对生态创新网络的正向影响较弱,小于核心节点城市环境效益对生态创新网络的正向影响。②对于生态创新网络中的子核心节点城市,生态创新网络对其环境效益具有强烈而持续的正向影响,且随着时间的推移,这种影响不断加深。然而,次核心节点城市的环境效益对生态创新网络具有短期的负面影响。③对于生态创新网络中的周边节点城市,生态创新网络与周边城市环境效益之间存在较小的相互促进作用,二者均保持稳定,相互影响最小。
{"title":"The regional environmental benefits and heterogeneity of eco-innovation networks: Evidence from the Yangtze River Economic Belt in China","authors":"Yang Yang ,&nbsp;Yi Guo ,&nbsp;Senlin Hu ,&nbsp;Erling Li ,&nbsp;Wei Zhao ,&nbsp;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}
引用次数: 0
Chinese firms’ R&D internationalization: Leveraging global inventor networks for technological exploration 中国企业研发国际化:利用全球发明者网络进行技术探索
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-29 DOI: 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.
利用2012-2019年1273家中国企业向美国专利商标局(USPTO)提交的海外专利申请数据,研究了中国企业研发国际化的空间分布及其影响因素。我们构建了一个中国企业的全球发明家网络,重点研究了企业内部动机(企业海外研发的广度和深度)的作用以及城市在该网络中的地位。我们的分析显示,信息和通信技术(ICT)公司,如华为,主导了这些活动,深圳正在成为一个关键的中心。中国企业的研发国际化主要面向北美和欧洲的主要创新集群,包括旧金山湾区和慕尼黑。利用面板负二项固定效应模型,我们发现海外城市在全球研发网络中的中心性程度与其对中国企业的吸引力呈正相关。本文对中国企业研发国际化模式进行了实证分析。海外研发广度与技术探索呈u型关系,海外研发深度与技术探索呈倒u型关系。
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引用次数: 0
A supply-side analysis of the craft beer scene in Spain 西班牙精酿啤酒的供给侧分析
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-28 DOI: 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.
本研究的重点是分析啤酒,作为餐饮的关键元素,通过描绘其产地的当地形象来描绘目的地形象。供给侧分析使用描述性和k -原型聚类分析进行,其中包括来自包含工艺啤酒和工业啤酒的特设数据库的定量和定性数据,以帮助回答既定目标。结果表明,在西班牙的情况下,精酿啤酒和新地方主义之间的关系可能缺乏支持,因为在精酿啤酒或工业啤酒标签中很少发现地方代表。此外,还发现了四个啤酒集群,可以更深入地了解西班牙的啤酒场景。研究结果从多维度的角度揭示了啤酒现象,结合了市场信息(价格、风格、格式、酒精含量)、新地方主义(标签)的发现和聚类的啤酒群体。本研究首次从供给侧对啤酒场景进行了定量与定性相结合的综合分析。研究结果对生产商和旅游业利益相关者具有重大意义,因为它们表明,加强当地形象、目的地身份和啤酒品牌之间的联系是有空间的。
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引用次数: 0
Heterogeneous effects of neighborhood renewal on mental well-being: A capability approach to analyzing complex causal pathways 社区更新对心理健康的异质性影响:一种分析复杂因果通路的能力方法
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-26 DOI: 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.
社区更新被认为是减少地方卫生不平等的一项战略。然而,有证据表明,这种干预措施可能产生不平衡的心理健康影响。基于能力理论,本研究解释了社会人口特征、社区环境变化和个体能动性(表现为感知和行为适应)如何相互作用,从而产生社区内心理健康差异。通过对中国成都16个社区1127名居民的调查数据进行潜在类别回归分析,该研究确定了三个不同经历更新的亚群体:高收入老年女性本地人、低收入年轻男性移民和最低收入年轻女性移民。首先,社会人口学特征确定了三个亚组在环境暴露和感知方面的模式变化。具体来说,低收入的年轻移民比高收入的当地老年妇女更少接触到有益的环境变化。这些群体表现出不同的环境感知模式,分为情感导向、发展导向和生存导向。其次,环境变化通过改变与健康相关的资源获取,对三个群体的心理健康产生了时间和社会异质性的影响。随着环境转型的加剧,前一组人的健康效益继续增长,后两组人的健康效益则先上升后下降。最后,个人的战略环境观念进一步重塑了健康差距。该研究有助于社区更新影响心理健康不平等的多重相互关联的因果途径。它揭示了结构因素对环境-健康和机构-健康联系所施加的限制,以及环境干预措施和个别机构克服这些限制的途径和机制,为制定面向公平的更新政策提供了宝贵的见解。
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引用次数: 0
Identification of factors influencing cooperation between border towns in different border traffic regimes 确定不同边境交通制度下边境城镇合作的影响因素
IF 5.4 2区 地球科学 Q1 GEOGRAPHY Pub Date : 2025-11-26 DOI: 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.
跨境合作是由国家边界的渗透性和功能决定的,但在不同的交通制度下,具体决定因素的影响仍未得到充分探讨。本研究考察了波兰-俄罗斯边境,该边境在过去二十年中在三种不同的制度之间转变:签证制度(2006年)、当地边境交通协议(2013年)和乌克兰战争后的边境关闭(2023年)。一项针对波兰三个边境城镇(bartoszyce, Braniewo和Gołdap-was)的地方政府的调查旨在评估和排名影响这些不同政治和制度背景下合作的因素。研究结果揭示了跨境合作的感知驱动因素和障碍的动态演变。经济因素在2006年占主导地位,当时跨境交流既被视为机遇,也因签证相关费用而成为负担。在2013年的半渗透机制下,随着贸易正常化和交易成本下降,它们的重要性有所下降。2023年,在边境关闭之后,经济驱动力进一步减弱,而与市场丧失相关的经济壁垒重新变得重要起来。制度障碍贯穿所有时期,反映出欧盟和俄罗斯治理体系之间的长期不对称。社会因素波动较大,2006年在限制性条件下显著,2013年在制度化合作期间显著下降,2023年在正式合作崩溃时作为剩余弹性渠道重新出现。认知因素在整个过程中仍然很弱,表明有限的知识交流和持久的刻板印象,而地理邻近的作用可以忽略不计。通过比较三个连续的政权,该研究表明,跨境合作的轨迹主要由政治和制度框架决定,当地行动者适应外部条件,而不是塑造外部条件。然而,在边境关闭期间,社会驱动力的复苏凸显了当地社区潜在的复原力及其未来重新参与的潜力。本研究引入了一种新的跨境合作决定因素分类和排名,并提供了一个可复制的分析框架,用于评估不同边界渗透率下的合作动态。研究结果为政策制定者和地方当局寻求在政治不对称和动荡的边境地区维持合作和社会复原力提供了实际指导。
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引用次数: 0
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Applied Geography
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