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主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

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    15 December 2025, Volume 34 Issue 12 Previous Issue   

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    Study on the evolution of global chip industry trade network and the competition and cooperation relationships between economies
    Yusufu GULINAER, Huanbieke MAERJIANG, Zhi LU
    2025, 34(12): 1-17.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240631
    Abstract ( )   HTML ( )   PDF (1873KB) ( )  

    Based on the perspective of the chip industry chain, by using the trade data of upper, middle and downstream products of the chip industry from 2000 to 2022, this paper analyzes the evolution characteristics of the global chip trade network and network node characteristics through complex social network analysis, and introduces the competition intensity index and interdependence index to explore the competition and cooperation relationship in the chip trade. The results show that: ① The upstream semiconductor silicon market has significant volatility and a high concentration of participants, the midstream integrated circuit market has steady growth, and the downstream electronic products are driven by scientific and technological innovation and market demand, showing vigorous vitality; ② From the perspective of the overall network characteristics of the chip, the downstream electronic computing and components have the largest scale and strongest connectivity, followed by the midstream integrated circuit, forming a solid support; Although the upstream semiconductor trade network is growing rapidly, the network connectivity is insufficient, which affects the efficiency of information flow and resource allocation, and needs to be optimized. ③ In terms of network node characteristics, it presents a dual situation of the stable central position of the traditional power and the rapid rise of the emerging power. While traditional powers maintain the centrality advantage, emerging economies such as China have significantly improved their export centrality, becoming an important intermediary for global resource flows. The network structure tends to be balanced, the core country group expands, and the rise of emerging forces such as the Netherlands and China promotes the diversified development of industrial competition pattern. ④ In terms of competition and cooperation relations, the global chip trade competition, especially between China and the United States and China and South Korea, tends to be white-hot, forming a "competition circle" with multiple competitive cores and closely intertwined, and the competition pattern has evolved from single-core to multi-core. At the same time, the degree of interdependence has increased significantly, the trade network has become closer, and the trade relations between China and other countries have changed from single dependence to diversified cooperation. The coexistence of "high competitiveness and high dependence" between China and the United States highlights the urgency and importance of seeking cooperation in the face of competition and properly handling trade frictions.

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    The structure evolution and influencing factors of the global value chain in the Indo-Pacific region
    Xueting WANG, Liran XIONG
    2025, 34(12): 18-33.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240858
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    Since 2008, under the impact of the global financial crisis, trade conflicts, the COVID-19 and its geopolitical conflicts, the traditional economic globalization has suffered an unprecedented impact. Economic globalization presents a new narrative, which has a profound impact on the global value chain. This study uses social network analysis methods and GeoDetector to explore the structure evolution and influencing factors of the global value chain in the Indo-Pacific region based on the OECD-TIVA database data. Research has found that: ①The global value chain network in the Indo-Pacific region is showing an increasingly loose trend, with significant "small world" characteristics. ②The global value chain network in the Indo-Pacific region is increasingly fragmented, with China, Japan, and the United States becoming the "three core leading" forces; India is beginning to rise, and its pivotal role is becoming increasingly apparent; other small and medium-sized countries are further marginalized, and the characteristics of "marginalized small groups" in these countries are becoming increasingly prominent. ③The trend of modularization in the global value chain of the Indo-Pacific region has further strengthened, highlighting the characteristics of "small groups". ④Research has found that: Data elements reflecting innovation, national economic scale elements reflecting the fluctuation of economic strength, economic liberalization elements reflecting trade conflicts, and institutional distance reflecting economic coordination have the most critical impact on the structure evolution of the global value chain in the Indo-Pacific region.The structure evolution of the global value chain in the Indo-Pacific region is the result of the joint action of various factors, and the two-factor interaction is stronger than a single factor.This research has important theoretical significance and practical value for us to systematically understand the structural evolution of the global value chain in the Indo-Pacific region and make scientific responses.

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    Maritime engagement between the United States-Pacific Island countries under the Indo-Pacific perspective
    Lu WANG, Jian HE, Jiale GUO
    2025, 34(12): 34-47.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240412
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    The Pacific Islands region is an important area for maritime engagement in the US Indo-Pacific strategy. In the context of intensified great power competition and the rise of the "Global South", based on the US government's "National Security Strategy", "Indo-Pacific Strategy Report", "Pacific Partnership Strategy" and other reports, analyze the practice, motivations, limits and impacts of maritime engagement between the United States and Pacific island countries from multiple subjects and aspects. Research shows that: ① Since the United States implemented the "Indo-Pacific Strategy", it has significantly strengthened maritime engagement with Pacific island countries, and their relations in many fields have reached unprecedented high levels. ② The driving factors for the United States to strengthen maritime engagement with Pacific island countries can be attributed to the prominent maritime strategic significance of Pacific island countries, the United States' maintenance of regional leadership, its vigilance towards the deepening of relations between China and Pacific island countries, and the Biden administration's emphasis on climate change and the Pacific island countries' own needs. ③ However, Pacific island countries have their own interests to consider. Maritime engagement between the United States and Pacific island countries still has certain limitations. The strengthening of maritime engagement between the United States and Pacific island countries will have important impacts on China's relations with Pacific island countries, the construction of the "21st Century Maritime Silk Road", maritime activities, and regional situations.

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    The spatio-temporal pattern and competitive situation of digital economic power between China and the US in Southeast Asia
    Chenran XIONG, Shan ZHAI, Maolin LIANG, Lixia SUN, Zixuan ZHOU, Heyulu ZHAN
    2025, 34(12): 48-60.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240942
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    The digital economy brings new dimensions of power, and gradually becomes a key force in changing the global competitive landscape. Because of the strategic significance in terms of geopolitical weight and digital economic potential, Southeast Asia has become a key region in digital power competition among great powers. Based on the power interdependence theory in international relations, this paper constructs the evaluation model of digital economic power, and estimates the spatio-temporal evolution and competitive situation of digital economic power between China and the US in Southeast Asia from 2009 to 2021. The results show that: ① The digital economic power between China and the US in Southeast Asia has been rising from 2009 to 2021. What's more, the digital economic power of China grew faster than that of the US, and digital economy power of China in Southeast Asia is larger than that of the US. ② The digital economic power of China in Southeast Asian countries has evolved in the way of mediate power influence zone. On the contrary, the digital economic power of the US in Southeast Asian countries has evolved in the way of low power influence zone. ③ The competitive situation of digital economic power between China and the US in Southeast Asia has presented with two types of the Sino-US digital economic power competition zone and the Chinese digital economic power zone. The competitive situation of digital economic power between China and the US in Southeast Asian countries has concentrated on Thailand and Malaysia. Except for Singapore and Thailand, in some years, they belong to the Sino-US digital economic power competition zone, and other Southeast Asian countries belong to the Chinese digital economic power zone.

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    Monitoring and evaluation system of safety resilience in the Dutch Delta under the background of climate change and its implications
    Zeyu ZHOU, Guofang ZHAI
    2025, 34(12): 61-74.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240864
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    In recent years, extreme weather and climate events have occurred frequently around the world. The rise in sea levels has made the safety and resilience situation in coastal areas more severe. Climate change has brought new challenges to disaster prevention planning, which is crucial to effectively reflect on the shortcomings of past planning practices and continue to learn at the forefront of the field to make planning more agile. Delta Programme proposes a monitoring-assessment-adjustment system. Under the legal and financial guarantees, based on administrative agreements, using a dual-line monitoring approach, through the theory of loop-learning, it comprehensively evaluates the planning measures, planning goals, planning working methods, and the assumptions based on the planning. It also regularly iterates the monitoring and evaluation system, providing a strong reference for the adjustment of the planning every year, thereby effectively improving the safety and resilience of the Dutch Delta. The experience of the system provides valuable reference and inspiration for the construction of a resilience planning monitoring and evaluation system.

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    Process and characterization of labour export of the Philippines: From the perspective of the migration industry
    Hui CHEN, Wenting ZHOU, Yungang LIU
    2025, 34(12): 75-85.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240543
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    This paper analyzes how the migration industry chain shapes transnational labor migration. Specifically, using the Philippines, a major labor-exporting country, as a case study, and based on the concept of the migration industry, the paper systematically analyzes the history and characteristics of Filipino labor migration. It examines how the types, migration trajectories, and patterns of Filipino migrant workers, as well as their circumstances, are influenced and shaped by the export model. These are shaped through the interactions of multiple actors, driven by profit-seeking and labor protection goals. The findings reveal that: ①The Philippine government, recruitment agencies, and education/training institutions are key actors in the Philippine migration industry. The relationships between these three actors involve regulation and being regulated, as well as a collaborative win-win dynamic. Together, they promote and sustain the cross-border flow of Filipino labor in pursuit of the core economic goals of migration. ②The industrialized labor export model has given Filipino migrant workers strong mobility; however, they are a group that is produced and standardized. Their migration patterns, spatial distribution of overseas employment destinations, occupational types, and living conditions are shaped by multiple actors in the migration industry chain, influenced by the profit-driven goals of these actors. ③The governance of transnational labor migration should transcend national borders, focusing on the multiple stakeholders involved in the migration process, and emphasizing communication and collaboration between these diverse actors and governments across nations and regions.

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    Spatial evolution and mechanisms of ultra-high-definition video industry in Guangzhou City
    Tianlan FU, Zhaobin LIANG, Kaihuai LIAO, Jiayi HE
    2025, 34(12): 86-102.  DOI: 10.3969/j.issn.1004-9479.2025.12.20250008
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    As a strategic pillar industry, the ultra-high-definition video industry in Guangzhou City has developed rapidly and has attracted widespread attention. Drawing upon the theory of evolutionary economic geography, this paper uses kernel density analysis and the standard deviation ellipse method to analyze and explore its development process, spatial distribution characteristics and mechanism of Guangzhou's ultra-high-definition video industry. The results show that: ① ultra-high-definition video industry in Guangzhou has gone through three stages: the pre-path creation stage, and the path creation stage and the path dependence stage. ② The spatial distribution of Guangzhou's ultra-high-definition video industry has temporal and spatial differences, and has formed a spatial distribution pattern with Tianhe District and Huangpu District as the core. Among them, the key links of network transmission and content production in the industrial chain have been mainly concentrated in Tianhe District. ③ Leading enterprises, multi-level governments and technological innovation have played important roles in the spatial distribution of the ultra-high-definition video industry in Guangzhou City. By studying Guangzhou's strategic pillar industries, this paper enriches the research on evolutionary economic geography theory and the notion of path creation and provides suggestions for the cultivation of strategic pillar industries in emerging economies.

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    Local knowledge bases, related diversification, and the development of artificial intelligence technologies: The case of Yangtze River Delta
    Sitong LIN, Gang ZENG
    2025, 34(12): 103-117.  DOI: 10.3969/j.issn.1004-9479.2025.12.20231011
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    The fourth industrial revolution, with Artificial Intelligence(AI) as its core technologies, is profoundly impacting the high-quality economic development in the Yangtze River Delta (YRD) in the new era. The local knowledge bases and related diversification have an influence on the development of AI technologies. Exploring the impact of local knowledge bases and related diversification on the development of AI technologies is of great significance for realizing the national strategy of integrated development of YRD. Based on patent application data from 2007 to 2021 in YRD, this paper utilizes GIS spatial analysis and a linear probability model to measure the impact of knowledge bases and related diversification on the development of AI technologies in the cities of YRD. The results indicate: ① There are differences in the required knowledge bases among different cities and different technologies, leading to significant spatial heterogeneity in the knowledge bases for AI technology development in YRD; ② The spatial distributions of the knowledge bases for AI technologies in YRD are uneven, with high-value areas mainly concentrated in a "Z"-shaped axis area formed by cities including Hefei, Nanjing, Suzhou, Shanghai, Hangzhou, Jinhua, and Ningbo, while the cities around Huainan, Hefei, and Wuhu belong to low-value areas. Regional disparities are showing a trend of narrowing in the development process. The spatial disparities in the knowledge bases of different divisions of AI technologies are also very pronounced, with the spatial agglomeration in application-layer technologies being more significant than that in non-application-layer technologies; ③ Local knowledge bases promote the process of related diversification into AI technologies in YRD, but this impact is not entirely the same in the different divisions of AI technologies. Taking full advantage of the strategic opportunities brought by the integrated development of YRD, fully leveraging the comparative advantages of each region, and promoting healthy development of AI technologies in YRD according to local conditions, is an issue that relevant government departments should pay close attention to.

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    SDGs--oriented sustainable development level measurement and synergy and trade-off effect analysis: Take Hunan province as an example
    Wenjin CHEN, Miao SANG, Lijun CHEN, Rui HUANG
    2025, 34(12): 118-132.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240363
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    Comprehensive and systematic assessment of sustainable development level is of great significance for promoting the realization of sustainable development goals and high-quality development in China. Based on the localized indicator system for the United Nations 2030 Sustainable Development Goals, this study evaluates the integrated level of sustainable development as well as the development of the three subsystems of economy, society and environment in Hunan Province from 2011 to 2020, and analyzes the coupling coordination degree of the sustainable development subsystems, dynamic evolution, regional differences, and influencing factors in Hunan Province using the coupling degree of coordination model, the kernel density estimation, the Dagum Gini coefficient, and the gray correlation degree analysis. Finally, the synergy and trade-off effects between different indicators of sustainable development were investigated using the Spearman correlation coefficient. The study indicates that the integrated level of sustainable development of all prefectural-level cities in Hunan Province presents a positive trend, but there are differences among different regions, and the overall spatial pattern of "high in the east and low in the west" is displayed; Inter-regional differences are the main source of uneven sustainable development in Hunan Province; The impact of different indicators on the integrated level of sustainable development of each prefecture-level city shows obvious differences, and there are complex interactions between the indicators, and there are both synergies and trade-offs between the indicators in Changsha City. The research results can provide scientific basis for Hunan Province to improve its sustainable development capability and realize high-quality development.

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    The agglomeration pattern and influencing factors of China's game industry from a multiscale perspective
    Li GONG, Jing CHEN
    2025, 34(12): 133-144.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240112
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    With the arrival of the digital economy era, promoting the development of the gaming industry helps to build new advantages for the digital economy. Based on the data of Chinese gaming companies from 2013-2019, the agglomeration pattern and its evolutionary trend of China's gaming industry are depicted using kernel density estimation, location entropy, and Dagum Gini coefficient. They construct a fixed effect model to explore the influencing factors on the agglomeration pattern of gaming industry. The results show: ① The overall trend of China's gaming industry is a "dense in the east and sparse in the west" spatial distribution pattern which aligns highly with the "Hu Huanyong Line". It consistently maintains a multi-core spatial pattern such as Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing metropolitan circle, presenting a situation of coexistence of agglomeration and expansion. ②There is regional heterogeneity in the agglomeration level of the gaming industry, and the difference between regions is the main source of the difference in the agglomeration pattern. On a provincial scale, the agglomeration level of the gaming industry is clearly polarized, with the high-value area constantly shrinking and the low-value area constantly expanding. On a city scale, the gaming industry is highly agglomerated in first-tier cities, with a clear preference for "high-level cities", and presents an agglomeration pattern of local concentration and overall dispersion. ③ Different influencing factors have significant regional heterogeneity at different scales, generally speaking, Communication infrastructure, cultural activity, urban economic level, government policies and industrial structure are significant factors affecting the development of the gaming industry. This research reveals the agglomeration pattern and influencing factors of China's gaming industry, aiming to provide decision-making references for the development and spatial layout of the gaming industry.

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    Impact mechanism of social capital of agricultural transfer population on settlement intention: Based on the perspective of in-migration and out-migration
    Xiaona PENG, Yilun XU
    2025, 34(12): 145-160.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240177
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    New urbanization is a people-oriented sustainable urbanization,however, the integration of the agricultural transfer population into urban life is often thwarted by social isolation and institutional exclusion. This paper analyzes the formation mechanisms of settlement intentions of agricultural migrants, and divides social capital into relational social capital and institutional social capital. Based on data from the 2017 China Migrants Dynamic Survey, this paper employs a Probit model, instrumental variables, and KHB mediation effect analysis to empirically probe the impact of social capital. The findings indicate that the settlement intentions of the agricultural transfer population are significantly influenced by the social capital in both in-migration and out-migration areas. Relational and institutional social capital in the in-migration area markedly bolsters settlement intentions, while the same forms of social capital in the out-migration area substantially dampen them. The accumulation of social capital among agricultural transfer directly shapes their settlement intentions through identity formation. To advance the urban assimilation of the agricultural transfer population, the paper suggests prioritizing the development of local social ties and the safeguarding of public rights and interests to foster the accumulation of their social capital.

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    Photo taking or reading? A study on the visual production of space based on social media
    Jia DONG, Haoyuan DU, Xu HUANG
    2025, 34(12): 161-172.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240413
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    Social media, as a key platform for information dissemination and opinion expression in contemporary society, shapes the unique spatial construction mechanisms and manifestations specific to the information age through its information presentation and user behavior. This paper takes the Librairie Avant-Garde, an avant-garde bookstore located in Nanjing, as a case study. By analyzing images uploaded by users on the Dianping website over the past three years, it explores the characteristics of visual production in cultural spaces. The study employs quantitative methods and utilizes two computer vision techniques—content recognition and object detection—to label the images for in-depth analysis. The research reveals that the visualized cultural space is intricately linked to and distinct from physical space in terms of the authenticity reconstruction of material space, intuitive understanding of cultural symbols, and identity construction of individuals. It demonstrates characteristics of virtual spaces, such as selectivity, symbolic representation, and attitudinal expression. This study applies deep learning technology to the quantitative analysis of image big data, aiming to explore the visual perception of "influencer" spaces and their visual interpretation of complex spatial meanings in the social media era.

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    Spatial differentiation and influencing factors of coupled synergies between cultural resource advantages and recreational development vitality in Northwest Yunnan Province
    Jing ZHAO, Guoxin TAN
    2025, 34(12): 173-187.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240330
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    The coupling of cultural resource advantages and recreational development vitality is of great significance for constructing a new development pattern in the region and promoting the high-quality development of the regional culture and tourism industry. Based on multi-source data, the cultural resource background characteristics of Northwest Yunnan are analyzed using average nearest neighbor, standard ellipse deviation, kernel density analysis, and location entropy. Combined with the relative development degree model, the coupling coordination degree model and the geodetector model, the spatial differentiation and influencing factors of the coupling coordination of the cultural resources aggregation advantage and recreation development vitality in Northwest Yunnan are analyzed. The results show that: ① Cultural resources in the region of Northwest Yunnan have become aggregated and distributed, and have more significant directional characteristics, forming an obvious high-density core area, while the results of location entropy show that there are regional differences in the types of cultural resource advantages in different regions of Northwest Yunnan; ② The relative degree of development and coupling coordination of the aggregated advantages of cultural resource elements and the vitality of recreation and development in the 24 county-level administrative regions in Northwest Yunnan have spatial heterogeneity;③The results of geo-detectors show that the influence of suitable habitat, convenient transportation accessibility and the level of economic and social development of regional towns and villages on the coupling and integration of the two has a one-way and interactive effect.

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    Deep learning in tourism study: A systematic review and prospects
    Jiaqi LUO, Xianzhu JIN, Songshan HUANG, Lawrence Hoc Nang FONG
    2025, 34(12): 188-200.  DOI: 10.3969/j.issn.1004-9479.2025.12.20240841
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    The use of Deep Learning (DL) in tourism research has produced a considerable body of literature. This study discusses a literature evolution on DL in tourism research using systematic review and computational methods. Adopting Leiper's framework for the tourism system, we discovered that studies employing the DL technique in tourism fit into five groups and 10 themes. Each theme's topics were recognised. From the perspectives of study emphasis, data sources, specific DL models, and future goals, a comprehensive analysis was undertaken. This study presents a historical perspective and summarises the current understanding of DL used in tourism and combines China's market and social characteristics to look forward to the future application of DL in tourism research and practice. Additionally, it assists governments and practitioners in identifying new ways to derive value from DL and tourism big data.

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