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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 July 2026, Volume 35 Issue 7 Previous Issue   

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    "Grounding approaches" as methodology: A spatial path to deepening area studies
    Ning AN, Haohui LU, Meiting ZHAO, Min WANG
    2026, 35(7): 1-14.  DOI: 10.3969/j.issn.1004-9479.2026.07.20251152
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    Current area studies face significant methodological limitations in supporting the Belt and Road Initiative (BRI), such as over-reliance on macro perspectives and static data, alongside the absence of local viewpoints. This hinders the field's ability to grasp the complex interactive logic of policy implementation at the local level and may even lead to misjudgments. This study proposes "grounding approaches" as a core methodological innovation, advocating for the construction of a reality-grounded knowledge system through immersive fieldwork. This transformation requires shifting focus from homogenized national/regional units to diverse local practices, emphasizing the value of spatial differences, cultural nuances, and local knowledge. Methodologically, it necessitates moving beyond textual analysis to long-term ethnographic thick description, where researchers immerse themselves in local social environments to capture invisible variables—such as informal rules and cultural taboos—through participant observation and in-depth interviews. Ethically, it demands a fundamental shift: critiquing the "othering" of research subjects, emphasizing contextual depth and researcher reflexivity, and involving local actors in co-creating knowledge to transition from "knowledge extraction" to "co-creation of knowledge." However, Chinese scholars practicing "grounding approaches" confront multiple challenges, including institutional constraints, linguistic and cultural barriers, ethical dilemmas arising from sensitivity issues, and difficulties in interdisciplinary collaboration and conceptualizing indigenous frameworks. Overcoming these requires institutional innovation (e.g., streamlining procedures, enhancing language training, flexible ethics review) and scholarly community collaboration (e.g., team-based research models). This article argues that only by committing to immersive fieldwork and knowledge decolonization can area studies transcend its status as a "superficially popular studies" to become "substantive knowledge" underpinning the BRI's refined implementation phase.

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    Chain-spectrum feature evolution and driving mechanism of land cover change in Oman from 1995 to 2020
    Siyu ZHOU, Caihong MA
    2026, 35(7): 15-31.  DOI: 10.3969/j.issn.1004-9479.2026.07.20250164
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    Based on multi-source remote sensing data, this study constructs a land cover change chain-spectrum evolution model to address the disconnection between time series analysis and spatial mapping in land cover change studies. It discusses the dynamic changes of land cover and its driving mechanism in Oman, thereby revealing the spatiotemporal variation characteristics of land cover in countries along the Belt and Road Initiative and providing a decision-making basis for regional cooperation. The results indicate that: ① Oman's land cover is dominated by deserts, while cropland, impervious surfaces, and shrublands occupy a relatively small proportion. Between 1995 and 2020, cropland, impervious surfaces, and shrublands expanded by 2.18, 3.43, and 7.8 times, respectively, reflecting a pattern of ecological restoration, oasis expansion, and impervious surface growth. ② The northern Hajar Mountains and the southern Dhofar Plateau are identified as land cover change hotspots, with significant temporal differences in land cover transitions. Cropland expansion was concentrated in 2005-2015, impervious surface expansion primarily occurred in 2000-2015, and shrubland growth was notable during 1995-2000 and 2015-2020. ③ Land cover transitions mainly occurred among sand, shrubland, cropland, and impervious surfaces, forming three major types of transfer chains: unidirectional, reciprocal, and stochastic, with unidirectional chains being dominant. The most significant transitions include sand to shrubland (7A4 and 7E4), sand to cropland (7E1), and sand to impervious surfaces (7D6), primarily occurring in the southern Salalah port and northern coastal radiation zones. ④ Land cover change in Oman presents a pattern in which two processes—"population agglomeration-economic growth-urban expansion" and "ecological governance-vegetation restoration"-advance in parallel and co-evolve internally. Human activity factors, including population, economy, and urbanization, are the dominant drivers of pattern evolution, while natural factors such as topography and climate provide the fundamental constraints. The trend of land degradation has been effectively mitigated. In the future, continuous efforts in desertification control should be made to balance urbanization and ecological restoration, thereby achieving the sustainable management of land resources.

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    Measurement of the linkage level and spatial difference of greenfield investment between China and overseas economies
    Huiran LIU, Yongchun YANG
    2026, 35(7): 32-49.  DOI: 10.3969/j.issn.1004-9479.2026.07.20250910
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    In order to reveal the spatio-temporal evolution and political motivation characteristics of greenfield investment between China and overseas, this paper selects the greenfield investment data of China and overseas from 2010 to 2024, and studies it from three perspectives: the measurement of linkage level, its spatial difference and political factors. The results show that: ① The greenfield investment between China and overseas presents the fundamental characteristics of "the linkage strengthened from 2010 to 2018 and accelerated contraction from 2018 to 2024". 2018 is a critical turning point. Before that, greenfield investment was characterized by mutual investment between the two sides; but after that, the scale decreased and the contraction ratio significantly increased. The speed at which the linkage level of foreign greenfield investment in China turns to contraction was significantly higher than that of China's foreign investment. ② There are significant spatial and industrial differences in the linkage level of greenfield investment at the alliance scale: In political and security alliances, developed alliances have shown a systematic contraction from China due to high institutional synergy, while emerging alliances have shown resilience of linkage due to geographical proximity. In political and economic alliances, the Group of Seven leads the trend of contraction, while the Regional Comprehensive Economic Partnership, the Black Sea Economic Cooperation Organization, and the BRICS countries show contraction trend of investment linkage to China, with China's asymmetric feature of active strengthen. Regional integration alliances and other non-alliance economies show industrial dimension differences in contraction due to different factor orientations. ③ Political factors can affect the linkage level of greenfield investment: Geopolitical competition has increased the investment risk and accelerated the spatial differentiation of greenfield investment. Developed economies present an internal game between security considerations and economic rationality, which restricts the contraction of the linkage level with China; political friendship and compatible cooperation provide a stable investment environment and promote the strengthening of investment linkage between China and emerging and developing economies. Different industries adjust the intensity of the impact of political factors through strategic sensitivity and interest dependence.

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    The pattern and robustness of global trade network of electric vehicles from a supply-chain perspective
    Yongli ZHANG, Tianzehao GONG
    2026, 35(7): 50-66.  DOI: 10.3969/j.issn.1004-9479.2026.07.20240863
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    As a substitute for traditional fuel-powered vehicles, electric vehicles play a pivotal role in achieving energy substitution and environmental sustainability. This study examines the electric vehicle industrial chain from upstream lithium carbonate, midstream lithium batteries, to downstream electric vehicles. Using import data from global electric vehicle trading nations spanning January 2015 to December 2023, this paper employs complex network models to analyze trade network characteristics and structural evolution across the industrial chain. The largest connected subgraph serves as an indicator to evaluate the robustness of different segments. Findings reveal that midstream lithium battery and downstream electric vehicle trade networks exhibit distinct small-world characteristics, with the upstream network being the smallest,the midstream network demonstrating the largest scale. China and Germany dominate key import/export and intermediary roles in upstream trade, while China and the US emerge as pivotal players in midstream and downstream networks. China consistently maintains core status across all three segments, particularly excelling in midstream lithium battery centrality. Structural hole advantages are evident for China, the US, and Germany within the industrial chain. Different segments and attack strategies yield varied network impacts, with targeted attacks on core nations proving most disruptive. Notably, upstream lithium carbonate networks display the weakest robustness, contrasting with midstream lithium batteries' superior robustness. This research enriches industrial chain trade network studies by mapping trade advantage dynamics and evaluating network robustness across electric vehicle supply chains, filling critical gaps in current academic understanding.

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    Multidimensional evaluation and barrier diagnosis of national innovation ecosystems under global competition: From the perspective of ecological niche
    Guoping ZHANG, Wei WU, Jingwen ZHOU, Neng SHEN
    2026, 35(7): 67-79.  DOI: 10.3969/j.issn.1004-9479.2026.07.20250283
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    In the context of global competition, a well-functioning national innovation ecosystem (NIE) serves as a critical driver for enhancing a country's comprehensive strength. This study constructed an evaluation system grounded in ecological niche theory. It applied the niche status, niche width and niche suitability model to assess the innovation ecosystems of major countries from 2006 to 2021 and diagnosed key obstacles affecting their development. The findings indicate that: ① China's niche status improved from poor to moderate, its niche width expanded significantly from an occasional to a companion species role, and substantial potential remains for further evolution in niche suitability.②The overall composite innovation niche of leading countries demonstrated steady growth, with the average value increasing from 0.22 in 2006 to 0.30 in 2021. The United States, Switzerland, Denmark, and Germany consistently ranked among the top performers, while China placed 13th in 2021, reflecting a combination of achievements and challenges in its innovation ecosystem development.③Technology and population niches represent the most significant criterion-level obstacles to global innovation advancement, whereas intellectual property protection, network communication capacity, and high-end patent applications constitute the primary index-level constraints within China's innovation ecology. Finally, this study proposes a series of feasible solutions for China's innovation ecological governance.

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    Geopolitics: The paradigm shift from geographical territory to the digital space
    Qiwei ZHU, Qinglei ZHANG
    2026, 35(7): 80-91.  DOI: 10.3969/j.issn.1004-9479.2026.07.20250275
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    The new wave of technological revolution is comprehensively deconstructing and reshaping governance order in human society, driving the transformation of globalization from physical to digital spaces. When interpreting the geopolitical effects triggered by technological revolutions, the classical geopolitical theoretical framework exhibited diminishing theoretical efficacy and analytical limitations. The convergence of digital-technological capabilities and geopolitical imperatives has propelled the contestation over digital space into a central arena of global power competition, with major powers' intensified rivalries over digital technologies accelerating structural paradigm shifts in global geopolitics. Digital space demonstrates unique endogenous characteristics, reconstructing geopolitical power systems through five dimensions: dominance in technical standards, jurisdiction over data sovereignty, network attack-defense thresholds, ideological infiltration, and countermeasures against gray-zone confrontation, thereby exacerbating compound security dilemmas in international society. This paper proposes exploring a Chinese approach tailored to national conditions by constructing autonomous digital sovereignty, developing a Digital Silk Road, enhancing international digital discourse power, and strengthening strategic risk prevention, aiming to better address emerging geopolitical risks in the digital era.

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    Research on the influence of urban amenities on the entry of Chinese integrated circuit enterprises
    Lei ZHAO, Xia MA, Ye HAN, Wei LI, Fang DONG
    2026, 35(7): 92-108.  DOI: 10.3969/j.issn.1004-9479.2026.07.20250013
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    The integrated circuit industry, as the foundation of the digital economy, has become a key area of international competition in this new round. How to attract enterprises to settle in has become the most fundamental and important link in optimizing the integrated circuit industry and enhancing competitiveness in various regions of China. Based on data from 2006 to 2021, an urban amenities evaluation system was established, and a panel model was constructed to examine the impact of urban amenities on the entry of integrated circuit enterprises at the scale of prefecture-level cities in China. The study shows that: ① Urban amenities have a significant positive impact on the entry of integrated circuit enterprises in China. ② The impact of different dimensions of urban amenities on enterprise entry varies. Among them, the transportation environment has the largest impact on the entry of integrated circuit enterprises, followed by the air environment. The climate environment has the smallest impact, while the education environment, medical environment, and social atmosphere do not significantly affect the entry of integrated circuit enterprises. ③ The impact of urban amenities on the entry of integrated circuit enterprises in China exhibits regional heterogeneity. There is a significant positive impact in the eastern and central regions, but no significant impact in the western region. ④ The mechanism test results show that the air environment and transportation environment attract talent, which can drive the entry of integrated circuit enterprises.

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    Characteristics and spatiotemporal evolution of phases, risks, and influencing factors in the Chinese real estate market
    Xin GAO, Chenhao DING, Fengqiuyu WANG
    2026, 35(7): 109-123.  DOI: 10.3969/j.issn.1004-9479.2026.07.20240985
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    China's real estate market is currently undergoing a significant transition. Understanding the characteristics of this market stage and mitigating real estate risks is of paramount importance. This study utilizes panel data from various prefecture-level cities in China (2012–2023) to construct a real estate market risk measurement system and conduct a spatiotemporal evolution analysis of market risk, housing price bubbles, and housing price volatility. Using a time-individual double fixed effects model, the study analyzes the factors influencing real estate market risk across different stages, regions, and representative cities. The results indicate that during the study period, the risk pattern expanded from the south to the north and eventually nationwide. Major city clusters along the eastern coast and the dual-core cities of the Chengdu-Chongqing metropolitan area emerged as prominent risk zones. The housing price bubble pattern showed a gradual contraction from west to east, while the spatial distribution of high-bubble regions remained stable. The northeastern region was the first to show a declining trend in housing prices, followed by a slight recovery in 2017. Nationwide, the housing price growth rate significantly decreased in 2022, with southern regions experiencing a greater decline than northern regions. Influencing factors exhibit significant heterogeneity across different stages and scales. For instance, in eastern regions, housing price levels were significantly negatively correlated with real estate market risk from 2016 to 2019. However, from 2020 to 2023, this relationship shifted to a significant positive correlation.

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    The spatial co-agglomeration and evolution of strategic emerging industries in the Yangtze River Delta Region
    Lu ZHAO, Caoyuan SUN
    2026, 35(7): 124-135.  DOI: 10.3969/j.issn.1004-9479.2026.07.20241142
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    Strategic emerging industries have increasingly shown a trend towards integrated development, with different industrial sectors exhibiting diverse spatial co-agglomeration characteristics. The Yangtze River Delta region is one of the most dynamic, open, and innovative economic areas in China, and is also an important cluster of strategic emerging industries. This paper innovatively extends the application of the spatial statistical standard deviation ellipse method, using firm-level microdata to comprehensively analyze the spatial co-agglomeration patterns and characteristics of key fields in the strategic emerging industries of the Yangtze River Delta from 2016 to 2022. The findings reveal that both the overall strategic emerging industries and the nine key sectors in the Yangtze River Delta exhibit significant and differentiated spatial agglomeration characteristics. Emerging service industries are most concentrated in the east, high-end equipment manufacturing is predominantly in the west, green and environmental industries are concentrated in the south, and the bio-industry is most prominent in the north. The different industries display diverse spatial co-agglomeration features, including five types of co-agglomeration models: synergistic, symbiotic, dispersive, autonomous, and accrescent.

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    Research on the measurement and linkage potential of regional industrial synergy development: Take "one region, two clusters" in Chongqing as an example
    Junhua CHEN, Meijun WANG, Huiming ZONG
    2026, 35(7): 136-149.  DOI: 10.3969/j.issn.1004-9479.2026.07.20240705
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    Promoting industrial synergy between "one region and two clusters" is crucial for fostering coordinated regional development in Chongqing. Based on the composite system cooperation degree model, the order degree of Chongqing's "one region, two clusters" industrial subsystem and the synergy degree of composite system industrial development are systematically analyzed, and the potential of industrial linkages and advantageous industries in each region are further evaluated by revising the inter-regional distance calculation. The results show that: ① From 2017 to 2022, the orderliness of each industrial subsystem generally exhibited an upward trend, indicating robust industrial system development. However, industrial synergy degree within the three regions' composite systems fluctuated at a low level, suggesting that regional industrial collaboration remains unstable and highly susceptible to policy shifts and external economic factors. ② In terms of industrial linkage potential, the main city and Northeast Chongqing have strong cooperation potential in the field of labor-intensive industries and infrastructure, and the main city and southeast Chongqing have complementarity in the field of resource-based industries, while the connection between Northeast and Southeast Chongqing is concentrated in medium and low technology industries. ③ The internal industrial homogeneity and inefficient division of labor within the "two clusters" are particularly evident, while the central urban area and surrounding regions within the "one region" show complementary advantages. Based on the above findings, this paper puts forward some recommends in strengthening overall planning,optimizing industrial division of labor, and promoting cross-regional collaboration,so as to advance the coordinated industrial development of Chongqing to a higher level.

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    Spatial distribution characteristics of National Agricultural Science and Technology Parks and their impact on rural residents' income increase in China
    Yuanqin LIANG, Weihua YIN, Jiawen KUANG
    2026, 35(7): 150-165.  DOI: 10.3969/j.issn.1004-9479.2026.07.20250183
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    As an important spatial carrier for China's implementation of the innovation-driven strategy and comprehensive rural revitalization, National Agricultural Science and Technology Parks are of great significance for promoting agricultural modernization and increasing rural residents' income. Based on the panel data of 280 prefecture-level cities and 301 National Agricultural Science and Technology Parks from 2006 to 2021, this paper analyzes the spatio-temporal evolution characteristics of National Agricultural Science and Technology Parks and rural residents' income levels by using standard deviation ellipse and kernel density estimation and constructing a difference-in-difference(DID) model, and explores the impact of the construction of National Agricultural Science and Technology Parks on the increase of rural residents' income. The results showed that: ① The construction of National Agricultural Science and Technology Parks gradually formed a spatial evolution pattern from "multi-point polar core" to "sheet continuous". The income level of rural residents increased steadily in the whole. The income growth rate of rural residents in the central and western regions was higher than the national average, but the proportion of relatively low and low-income residents still reached 75.58%. ② The construction of National Agricultural Science and Technology Parks can promote the increase of rural residents' income by 3.4%, and initially form a mechanism to promote the expansion of agricultural industry scale, agricultural technology progress and rural entrepreneurial activities to achieve income increase. ③ According to the income level of rural residents and regions, the effect of National Agricultural Science and Technology Parks on the income of rural residents in the central and western regions and middle and high-income levels is more obvious.

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    Coffee production, value chain construction and community development in the era of globalization:
    Dezheng WANG, Junxi QIAN, Yuan ZENG
    2026, 35(7): 166-181.  DOI: 10.3969/j.issn.1004-9479.2026.07.20241099
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    Academic research on global value chains have revealed how the uneven distribution of power from the global-local perspective dilutes the local development capacity of the communities of origin and reinforces the "core-periphery" geopolitical map of global capitalism, but relatively little attention has been paid to the entanglement between economic and social logic and the possibilities brought by community building, and the peculiarity of the case of Chinese rural societies. Taking Xinzhai Village in Yunnan Province as an example, and through qualitative research methods including participatory observations and in-depth interviews, this study analysed how Xinzhai Village achieved value chain upgrading in the benign interactions between the participation in the global coffee value chain, the local socio-cultural context, as well as the coordination of the state subjects and the mediation of information technology particularly social media, and to further achieve effective community building and local development. It unravels that although the globalised coffee trade has indeed stripped away the correspondence between coffee value and production space, the local level of the coffee industry is aware of the problem and is taking active measures to resist the exploitation of value at the local level, so as to make the global coffee value chain better serve the communities of origin, and to re-construct a space that achieves community capacity enhancement and sustainable development. The findings of the study have positive implications for optimising the coffee value chain structure and understanding the direction of rural revitalisation and community building in coffee origin communities in the context of globalisation.

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    Study on the spatiotemporal evolution and driving factors of coupling coordination between rural digitalization and high-quality agricultural development
    Xubing YAO, Lulin GAN, Guangqiang LUO
    2026, 35(7): 182-198.  DOI: 10.3969/j.issn.1004-9479.2026.07.20240922
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    Promoting the coupling and interaction between rural digitalization and high-quality agricultural development is the only way to realize the modernization of agriculture and rural areas. On the basis of deconstructing the coupling and coordination mechanism of rural digitalization and high-quality agricultural development, this paper analyzes the spatiotemporal evolution characteristics and driving factors of the coupling and coordination of rural digitalization and high-quality agricultural development in 30 provinces in China from 2011 to 2021 by using the coupling coordination degree model, Moran index, spatial Markov chain and BP neural network. The results show that: ① The index of rural digitalization and agricultural high-quality development is on the rise, but the overall development level is relatively low, and there is huge room for improvement, showing significant spatial divergence with an "east-high,west-low" pattern. ② The coupling coordination degree of the system is gradually optimized, and the transformation from mild dislocation to basic coordination is realized. ③ On the whole, the coupling coordination degree of the system shows a significant positive spatial correlation and the spatial correlation weakened, and the spatial difference shows an expanding trend. The local spatial structure is stable. The probability of low level upward transfer of system coupling coordination degree increases significantly with the passage of time. ④ Rural digitalization is the fundamental driving force of system coupling and coordination, and the level of economic development, urbanization and government intervention have a more obvious role in promoting the central and western regions.

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