Applied GeographyPub Date : 2025-08-27DOI: 10.1016/j.apgeog.2025.103762
Binyao Han , Hao Wang , Zhuangzhuang Wang , Le Hui , Yongqiang Xia , Jiamin Liu , Liwei Zhang , Lei Jiao , Ying Luo
{"title":"Coupling dynamics and feedback mechanisms between ecosystem service flows and socio-economic systems in the loess plateau","authors":"Binyao Han , Hao Wang , Zhuangzhuang Wang , Le Hui , Yongqiang Xia , Jiamin Liu , Liwei Zhang , Lei Jiao , Ying Luo","doi":"10.1016/j.apgeog.2025.103762","DOIUrl":"10.1016/j.apgeog.2025.103762","url":null,"abstract":"<div><div>Ecosystem service flows (ESFs) describe the spatial transfer of ecosystem services (ESs) and offer a valuable framework for understanding the interactions between ecological systems and socio-economic systems. However, the dynamic coupling mechanisms linking ESFs with socio-economic processes remain insufficiently understood. To address this gap, this study quantitatively analyzes the spatial flow characteristics of four key ESs in China's Loess Plateau (LP) — water yield, food supply, carbon sequestration, and soil conservation — and systematically investigated their dynamic coupling with regional socio-economic systems. The results are: (1) Although the overall supply capacity of ESs in the LP has increased markedly, the rapid growth in regional demand has led to persistent supply-demand imbalances. These imbalances have driven an ongoing intensification of cross-regional ESF transmission and the expansion of the ecosystem service flow network. (2) As the intensity of ESFs increases, the structural complexity and spatial connectivity of the ecosystem service flow network improve substantially. The interdependence of ESFs among sub-basins becomes more pronounced. (3) With the accelerated development of the regional economy, sub-basins become increasingly dependent on both locally generated and externally inflow ESs. A stable, bidirectional feedback mechanism emerges between ESFs and socio-economic systems, further facilitating the evolution of the socio-ecological network toward a more integrated and coordinated structure. This study demonstrates the pivotal role of ESFs in promoting the coordination between ecological restoration and socio-economic development. The findings offer a theoretical foundation for regional ES management and the implementation of cross-regional ecological compensation mechanisms.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"184 ","pages":"Article 103762"},"PeriodicalIF":5.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903373","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}
Applied GeographyPub Date : 2025-08-25DOI: 10.1016/j.apgeog.2025.103759
Zuge Xing , Canfei He , Jiale Lin , Yuxin Pan
{"title":"Who you are versus where you are: Revealing the importance of determinants of within-city income inequality in China through an interpretable machine learning approach","authors":"Zuge Xing , Canfei He , Jiale Lin , Yuxin Pan","doi":"10.1016/j.apgeog.2025.103759","DOIUrl":"10.1016/j.apgeog.2025.103759","url":null,"abstract":"<div><div>Within-city income inequality may lead to slower regional growth and social instability. Most existing research attributes within-city income inequality to skill differences, with limited understanding of the combined impact and evolution of individual and city-level factors in the Chinese context. This study uses interpretable machine learning methods to measure within-city income inequality based on census and survey data from 2000 to 2015, and reveals the importance of individual and city-level factors on within-city income inequality using a SHapley Additive exPlanation (SHAP) analysis. We find that within-city income inequality in China is primarily driven by urban-rural gaps rather than skill differences, and individual factors such as gender and age also play important roles. Among city-level factors, housing prices are the main cause of the widening of within-city income inequality. Individual factors have the largest explanatory share in within-city income inequality, but the explanatory contribution of city-level factors is on the rise. The results of this study provide theoretical and methodological contributions to the measurement of the extent of within-city income inequality in China and its driving mechanisms.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"184 ","pages":"Article 103759"},"PeriodicalIF":5.4,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892819","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}
Applied GeographyPub Date : 2025-08-22DOI: 10.1016/j.apgeog.2025.103757
Yibo Qiao , Andrea Ascani
{"title":"High-speed railway and city industrial upgrading in China: A quasi-experimental study","authors":"Yibo Qiao , Andrea Ascani","doi":"10.1016/j.apgeog.2025.103757","DOIUrl":"10.1016/j.apgeog.2025.103757","url":null,"abstract":"<div><div>This paper investigates the effect of High-speed Railway (HSR) on city industrial upgrading. Using the Annual Survey of Industrial Firms (1998–2015) and HSR opening information in China, we conduct a difference-in-differences-in-differences (DDD) analysis on 300 prefecture- and higher-level cities and 389 4-digit manufacturing industries. We find that HSR enables cities to enter more complex industries, and this result is robust under parallel trend test, placebo test, instrumental variable estimation, and other specifications. Mechanism analysis shows that HSR could promote city industrial upgrading by attracting foreign direct investment (FDI), producer services, and high-quality human capital. Heterogeneity analysis indicates that developed regions benefit more from HSR than undeveloped regions in industrial upgrading. We contribute to Evolutionary Economic Geography by considering HSR as a regional external linkage and by integrating causal analysis in the study of regional diversification.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"184 ","pages":"Article 103757"},"PeriodicalIF":5.4,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144889853","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}
Applied GeographyPub Date : 2025-08-20DOI: 10.1016/j.apgeog.2025.103758
Fangxin Chen , Yurui Li , Yansui Liu
{"title":"Impact assessment and driving mechanisms of grading and weight distribution methods on spatial zoning","authors":"Fangxin Chen , Yurui Li , Yansui Liu","doi":"10.1016/j.apgeog.2025.103758","DOIUrl":"10.1016/j.apgeog.2025.103758","url":null,"abstract":"<div><div>Rational spatial zoning is fundamental to effective territorial governance. However, inconsistencies in grading and weighting methods across existing studies compromise the accuracy and comparability of zoning schemes. To quantify the impact of methodological choices, this study, taking Lingbao County in Henan Province as a case, developed an evaluation index system. Twelve zoning schemes were derived by combined three grading methods (natural breakpoint, threshold, service value accumulation) and four weighting approaches (analytic hierarchy process, entropy weight, Delphi, equal weight). This study then compared the spatial discrepancies among the schemes and employed random forest regression with partial dependence plots to identify driving mechanisms underlying these variations. Results show that grading methods induced spatial inconsistencies up to 316.89 km<sup>2</sup>, with natural breaks favoring ecological spaces and threshold methods identifying more agricultural and urban spaces. Weighting methods caused 232.02 km<sup>2</sup> of variation, where analytic hierarchy process method favoring ecological and urban spaces. Combining grading and weight distribution methods amplifies discrepancies to 509.77 km<sup>2</sup> (13.94 % of the total area). The slope is identified as the most critical factor influencing zoning differences. This study equips researchers and planners with actionable insights to calibrate zoning methods, enhancing objectivity in China's territorial spatial planning.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"184 ","pages":"Article 103758"},"PeriodicalIF":5.4,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144865760","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}
Applied GeographyPub Date : 2025-08-18DOI: 10.1016/j.apgeog.2025.103742
Hernán Manrique , Fabio Castro-Llanos , Anton van Rompaey , Olivier Honnay
{"title":"Coca cultivation and deforestation in the Peruvian Amazon: A multiscale analysis using spatial regression models","authors":"Hernán Manrique , Fabio Castro-Llanos , Anton van Rompaey , Olivier Honnay","doi":"10.1016/j.apgeog.2025.103742","DOIUrl":"10.1016/j.apgeog.2025.103742","url":null,"abstract":"<div><div>Coca cultivation is expanding rapidly into the Amazon biome, raising concerns about its role in deforestation. While this relationship is well-studied in Colombia, Peru remains understudied in spatial modeling analyses. This study addresses this gap by employing spatial regression models to assess the association between coca cultivation and deforestation across the Peruvian Amazon at the national and subnational level. First, we quantify trends: between 2016 and 2020, coca cultivation expanded by 40 %, from 43,900 to 61,800 ha, while annual deforestation exceeded 250,000 ha. Coca increasingly overlaps with Protected Areas, buffer zones and Native Communities. Second, using a spatial regression framework, we found coca cultivation to be a statistically significant driver of deforestation at the national level, with each hectare of coca associated with an increase of 0.02–0.06 ha of deforestation. Forest integrity showed the strongest protective effect, while elevation and slope also reduced deforestation risk. Contrary to expectations, Protected Areas did not exhibit significant deterrent effects and Native Communities were positively associated with deforestation. Third, we analyzed two subnational hotspots: VRAEM and Callería. In VRAEM, coca showed no significant link to deforestation, while in Callería, this association was positive but only significant in one model specification. Forest fires were a dominant driver in both areas, followed by a modest effect of the agricultural-livestock mosaic. Our results contribute to a nuanced understanding of how coca cultivation drives deforestation in a spatially varying manner, challenging the conventional wisdom that coca cultivation exerts a consistent impact on deforestation irrespective of local context.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"184 ","pages":"Article 103742"},"PeriodicalIF":5.4,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144860865","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}
Applied GeographyPub Date : 2025-08-11DOI: 10.1016/j.apgeog.2025.103739
Jing Guan , Zhouying Song , Weidong Liu
{"title":"An assessment framework of amenities and its impact on population patterns in China's border cities","authors":"Jing Guan , Zhouying Song , Weidong Liu","doi":"10.1016/j.apgeog.2025.103739","DOIUrl":"10.1016/j.apgeog.2025.103739","url":null,"abstract":"<div><div>With the growing focus on life quality, the role of amenities has emerged as a crucial factor in regional development. This study tries to expand the theoretical implications of amenities and develop a conceptual framework of amenities through the lens of biology-economy-society. We also advance the amenities indicator system guided by three indicator models, and analyze the spatial-temporal evolution of Chinese border cities' Amenity Comprehensive Index (ACI). Furthermore, we employ the pooled OLS models and Multiscale Geographically Weighted Regression Model (MGWR) to delve deeper into how amenities affect population patterns. The results show that, (1) From 2010 to 2020, the overall amenity level in China's border cities has continuously improved, forming three high-level clusters in the northeast, northwest, and southwest regions. (2) We validated the amenity theory in underdeveloped areas, where the ACI demonstrates a significant positive impact on the population size of China's border towns, even surpassing the influence of traditional economic factors. (3) After accounting for spatial heterogeneity and variable scales, biological amenity emerges as the foundational factor within the three-dimensional framework, followed by the economic and social dimensions. (4) Among heterogeneous populations, amenity level continues to play a constructive role, particularly among the employees in the tertiary industry. This finding partially corroborates that amenity system can not only improve living environments, but also enhance the service capacity of border cities by fostering service-oriented employment opportunities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103739"},"PeriodicalIF":5.4,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809595","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}
{"title":"Land abandonment as an indicator of Ukrainian agricultural resilience during Russia's war against Ukraine","authors":"Sarah Hartman , Rachel Whiteside , Anatoliy Smaliychuk , Iryna Dronova","doi":"10.1016/j.apgeog.2025.103744","DOIUrl":"10.1016/j.apgeog.2025.103744","url":null,"abstract":"<div><div>Amidst the war, the resilience of Ukraine's export agriculture sector – among the top 10 worldwide and critical for food security – remains a global concern. Here we investigate agricultural resilience in eastern and southern Ukraine by testing the linkage of war and weather on satellite-assessed agricultural abandonment since 2011. We find that less than 0.05 % of the area has been fully abandoned since the war's start in 2014, with another 0.7 % since 2016, and 5 % in early abandonment since 2022. Meanwhile, 0.3 % of the area was fully abandoned then recultivated. Russian occupation is most strongly and positively associated with total abandonment followed by annual precipitation and annual agricultural extent since 2018. In 2023, uncultivated fields were ∼3 times more common in regions previously supplied by the Kakhovka Reservoir than outside those. This study demonstrates how integrating satellite imagery and open data can deepen our understanding of agricultural resilience and inform post-conflict recovery.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103744"},"PeriodicalIF":5.4,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809594","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}
Applied GeographyPub Date : 2025-08-02DOI: 10.1016/j.apgeog.2025.103741
Kaile Jiang , Shuangbo Liang , Fuping Wang , Xiao Tu , Ling Zhou , Yao Liu
{"title":"Urban and regional economic resilience: a manufacturing supply chain network perspective","authors":"Kaile Jiang , Shuangbo Liang , Fuping Wang , Xiao Tu , Ling Zhou , Yao Liu","doi":"10.1016/j.apgeog.2025.103741","DOIUrl":"10.1016/j.apgeog.2025.103741","url":null,"abstract":"<div><div>Urban areas are increasingly interconnected, amplifying the risks associated with shock events. Therefore, it is essential to uncover the economic resilience of regions and cities from a network perspective. However, traditional methods that use enterprise supplier lists, company headquarters-branch lists, or gravity models to map urban networks fail to fully capture the economic connections between cities. This study investigated the structural shifts and resilience of the Yangtze River Delta (YRD) urban network under the trade conflict and the COVID-19 pandemic. Results show that the network's node hierarchy, spatial structure, and topological characteristics have undergone significant changes. At the regional level, the YRD urban network demonstrates a clear temporal evolution: the period from 2018 to 2020 is characterized as a collective shock resistance phase, which subsequently transitions into a coordinated adaptation and recovery phase spanning 2021 and 2022. Interpretable machine learning analysis reveals that degree is negatively correlated with urban resilience, whereas effective size is positively correlated with urban resilience. This study can provide valuable references and insights for urban planners in assessing risks and formulating policies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103741"},"PeriodicalIF":5.4,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756679","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}
Applied GeographyPub Date : 2025-08-02DOI: 10.1016/j.apgeog.2025.103724
Gregory F. Randolph , Sabina Dewan
{"title":"Driving uneven development: The emerging geography of India's electric vehicle transition","authors":"Gregory F. Randolph , Sabina Dewan","doi":"10.1016/j.apgeog.2025.103724","DOIUrl":"10.1016/j.apgeog.2025.103724","url":null,"abstract":"<div><div>One of India's most important decarbonization strategies involves transitioning its automobile industry from combustion engine to electric vehicles. In this paper, we examine the emerging geography of India's nascent EV sector toward understanding how policy and technological changes surrounding the energy transition are intersecting with regional development pathways, and with what implications for uneven development. We utilize sectoral and workforce data on firms, employment and skills; qualitative interviews with industry experts; and a policy analysis of state-level industrial strategies to attract and grow the EV sector. Our findings indicate that India's ICE-to-EV transition has the potential to amplify regional disparities in India's economic development patterns. The mechanism underlying this effect is the skill-biased technological change inherent in the EV transition, which benefits regions such as southern India, where high-skilled workers and information technology firms are clustered. If India's EV industry continues to concentrate in its most prosperous and innovative regions, this may accelerate advancements in low-carbon technologies, but it will sharpen the country's patterns of uneven development. The paper calls for discourses on the “spatially just” transition to look beyond the energy and resources sector itself, examining the wide spatial-economic reverberations of decarbonization and consequences for spatial inequality.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103724"},"PeriodicalIF":5.4,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756682","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}
Applied GeographyPub Date : 2025-08-01DOI: 10.1016/j.apgeog.2025.103740
Yuman Feng , Zhicong Ye , Li Ma , Fengjun Jin
{"title":"Mapping the journey: Tracing the complete relocation trajectories of high-tech firms in the Pearl River Delta, China","authors":"Yuman Feng , Zhicong Ye , Li Ma , Fengjun Jin","doi":"10.1016/j.apgeog.2025.103740","DOIUrl":"10.1016/j.apgeog.2025.103740","url":null,"abstract":"<div><div>In the era of the knowledge economy, the relocation processes of high-tech firms are crucial for understanding the driving forces behind the spatial flow and reorganization of innovation resources. However, existing literature primarily focused on one-time relocation events of large manufacturing enterprises, failing to uncover the evolving mechanisms and patterns during the firm’s growth. This study aims to fill this gap by proposing an analytical framework for tracking the complete relocation trajectories of high-tech firms from three key perspectives: urbanization economies, agglomeration economies, and place-based policy factors. Taking the case of China’s rapidly prosperous Pearl River Delta (PRD) region, we construct the database on high-tech firm relocations to identify relocation characteristics, mechanisms and spatial patterns. The findings indicate that (1) 45 % of high-tech firms in PRD experienced relocation, with 22 % undergoing multiple relocation processes; the average duration of relocation increases with the number of relocations, and the relocation rate follows a logarithmic relationship with firm age. (2) The relocation distribution gradually spread outward from both sides of the Pearl River, forming a “core-periphery” pattern, with hot spots concentrated in Shenzhen, Dongguan, Guangzhou, Foshan, Zhongshan, and Zhuhai. (3) From the perspective of spatial association, the analysis reveals that firm relocation patterns include migrations within urbanization areas, between industrial agglomerations, and across regions outside special economic zones. Also, it reveals that high-tech firms have the relocation path of expanding toward the urban periphery, correctively returning to industrial agglomerations and progressive upgrading in policy spaces during firm’s life cycle.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103740"},"PeriodicalIF":5.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750189","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}