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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 August 2024, Volume 33 Issue 8 Previous Issue   

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    Port trade resilience development along the 21st Century Maritime Silk Road and China's strategic response
    Ziran JIANG, Chensheng LI, Jinping PANG, Huayou ZHU
    2024, 33(8): 1-13.  DOI: 10.3969/j.issn.1004-9479.2024.08.20230243
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    Taking 53 ports along the 21st Century Maritime Silk Road as the research object, container throughput data of ports from 2008 to 2019 were selected to measure the port trade resilience and analyze the characteristics from two dimensions of resistance and resilience. The results show that: ①The resilience of ports along the Maritime Silk Road is good, and the resilience is much higher than the global average level of ports, and the overall resilience is obviously on the rise.②The overall pattern of port trade resilience along the route presents a northwest southeast direction, with more significant differences in east-west extension compared to north-south direction. In terms of spatial-temporal evolution, the distribution is more dispersed, and spatial differences continue to decrease.③In the three shocks, the resilience values of Chinese ports differ significantly, and the overall development trend is stable and good. According to the research conclusions, policy suggestions are put forward: incorporating resilient development into high-quality port development evaluation system, strengthen differentiated cooperation strategies with important strategic ports, respond to the industry trend of the world shipping and trade center moving eastward, and Accelerate the forming a new port development pattern in which internal and external circulation promote each other.

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    Scale deconstruction of contemporary China-India border dispute
    Yu HUANG, Hao CHEN, Yuejing GE
    2024, 33(8): 14-26.  DOI: 10.3969/j.issn.1004-9479.2024.08.20230476
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    The China-India border dispute is the biggest obstacle to the development of China-India relations. The existing studies on the China-India border dispute do not pay enough attention to geographical factors and lack comprehensive analysis of multi-agent and multi-scale, so it is difficult to grasp the essential characteristics and overall situation of the China-India border issue. This paper proposes a multi-scale geopolitical analysis framework to analyze the competitive nature of contemporary China-India border dispute under the joint action of multi-scale and multi-agent. The main conclusion is that the contemporary China-India border dispute is a complex problem caused by multi-scale spatial superposition and multi-agent power game. On the global scale, the China-India border dispute is an important part of the strategic interaction between the United States and India to contain China; At the regional scale of South Asia, China-India border dispute is a land blockade for India and its partner countries to restrict China's expansion of influence in South Asia; On the bilateral scale of China and India, India regards the China-India border dispute as a strategic fulcrum to seek land advantages over China, and tries to gain strategic advantages over China on both land and sea; At the national internal scale, the China-India border dispute is a competition between China and India in the border transformation mechanism; At the border area scale, the China-India border dispute is a competition between the two countries in terms of their ability to effectively manage border areas. The national internal scale is the core scale that determines the China-India border dispute, but the possibility of the two countries reaching a reasonable compromise on this scale is still very small in the short term. The current situation of the global, South Asian region, and bilateral scale is not conducive to a rational solution of the China-India border dispute. The border area scale is the main focus of the China-India border dispute for a long time.

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    The impact of global attention, reputation on foreign direct investment: Based on big data research in African countries
    Boyang ZHANG, Zhihui FU, Yunsong CHEN, Ying LI
    2024, 33(8): 27-39.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222287
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    Taking 35 African countries as examples, based on GDELT and using sentiment analysis, spatial analysis, visualization and dynamic panel econometric model, this paper constructs global attention and reputation indicators in African countries and explain foreign direct investment behavior (FDI). It is found that, in terms of time trends, there are four types of FDI curves in African countries,including high investment, rising investment, falling investment and low investment. Spatially, there are marked regional differences of FDI in Africa. The econometric model shows that FDI in African regions is influenced by global attention and reputation. Besides, the size of the influence effect of global attention is about 11.6% of the economic development level and equivalent to the influence effect of the policy superiority. The effect size of global reputation on FDI is about 7.54% of economic factors and about half of that of policy factors. This paper is a macro-quantitative analysis based on big data to expand and extend the theory of FDI from the perspective of socio-cultural communication, which is a useful combination of big data and computational social science methods with traditional quantitative research methods. This paper also provides data and theoretical support for enhancing national image development strategies.

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    The spatiotemporal pattern and influencing factors of urban shrinkage: A comparative study of East Germany and Northeast China
    Yuanzhao LIANG, Ye WEI
    2024, 33(8): 40-51.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222417
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    It is of great significance to carry out accurate identification of urban shrinkage and comparative analysis of its influencing factors in large national regions, to reduce the error based on administrative area identification. By constructing the VANUI index, calculating the one-dimensional linear regression coefficient of the DN value of night light and the WorldPop population grid data, and based on the overlay of the regression coefficient of the DN value of night light, and the regression coefficient of the WorldPop population grid data, the urban areas of East Germany and Northeast China in the two stages of 2000-2009 and 2010-2018 were divided into four types: absolute growth, smart shrinkage, negative growth and absolute shrinkage. This paper then studied and compared the spatio-temporal distribution and transformation path of the two stages of absolute shrinkage and smart shrinkage in the two regions, and constructed a panel regression model from population growth, scientific and technological development level, medical service level and other aspects to conduct a comparative analysis of the influencing factors of the two stages of urban shrinkage in the two regions. The results show that the absolute shrinkage areas in the two regions have a great similarity in spatiotemporal distribution and transformation path; the smart shrinkage areas are similar in spatiotemporal distribution, but different in transformation path; the absolute shrinkage areas in the two regions and two stages is relatively small; the mechanism of population growth in the two regions has both similarities and differences, and has different connotations due to differences in national conditions. This study shows that: (1)Urban shrinkage areas have the potential for short-term growth, and their development rights should be treated equally; (2)The absolute shrinking areas should be given special atten‐tion and governance, while the smart shrinking areas should be regarded as a reasonable development model for urban shrinking areas; (3)Continuously improving the level of medical, elderly care services and research investment, steadily promoting the transformation of living environment and infrastructure in existing areas, and reasonably controlling incremental development can help alleviate the phenomenon of urban shrinkage.

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    Research on Italian urban development mechanism from a university-driven perspective
    Chen XU, Li SHEN
    2024, 33(8): 52-64.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222361
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    The research of the mechanism of university driving urban development is of great significance for China's urbanization development strategy under the knowledge economy. Based on the "university-town" interactive analysis framework, based on field research and spatial-temporal correlation analysis, it is found that the Italian university network and urban network have a high degree of overlap in spatial layout, population agglomeration, and industrial economy, which is the result of the continuous interaction and integration of the two in historical development. At the regional level, the expansion of both atenei and sedi universities from central cities to surrounding small and medium-sized cities promotes the optimization of spatial organization at the scale of metropolitan areas, the construction of scientific and technological innovation networks, and the daily commuting exchanges of personnel. At the urban level, universities are shaping the urban spatial structure and promoting urban, and universities play a leading role in the renewal process and promoting social and cultural integration. The experience of Italian universities in driving urban development, such as how to promote the linkage of "campus, park and community" in the process of new urbanization, has a reference value for my country's urban development.

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    The experience of transportation disadvantaged service plan in America and its enlightenments to China
    Zongni GU, Xiaolong LUO
    2024, 33(8): 65-76.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222407
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    As the population continues to age, there is increasing academic attention to the construction of an elderly-friendly social environment. Guided by active aging, it is crucial to adapt transportation infrastructure to the needs of the elderly and implement corresponding service management measures. Given China's significant elderly population, the urgent need arises to create age-friendly public transportation environments. Currently, several challenges exist, including the exploration of transportation planning for the elderly, traditional planning's lack of responsiveness to diverse travel patterns among the elderly, and the necessity to strengthen governance measures in establishing age-friendly public transportation environments. This study investigates the developmental process, key considerations, and governance strategies of transportation service planning for vulnerable groups in Florida. It explores the characteristics of participatory planning processes, differentiated transportation service strategies, and systematic governance measures, aiming to provide valuable insights into China's efforts in constructing an age-friendly public transportation environment. Taking into account China's national context and the current state of population aging, the study proposes the following three recommendations: ①Develop transportation service plans that cater to the specific needs of the elderly, with a focus on creating a favorable policy environment. This involves establishing a collaborative, multi-level planning and governance system for vulnerable groups, promoting the integration of "age-friendly" design and "elderly-assistance" services. ②Fully consider regional and individual differences, tailor construction targets and governance strategies accordingly, and propose refined transformation and governance approaches. ③Advocate for a governance model that combines "full participation" and "technological empowerment," effectively addressing the needs of the elderly. This includes enhancing the involvement of the elderly in the creation of age-friendly public transportation and achieving a cooperative and shared governance approach to age-friendly transportation.

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    The landscape and logic of energy-society interactions from a geographical perspective: Interpretation and review of Energy and Society: A Critical Perspective
    Yu YANG, Yue GUO
    2024, 33(8): 77-86.  DOI: 10.3969/j.issn.1004-9479.2024.08.20240589
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    The interaction between energy and society is characterized by a complex and multidimensional dynamic. The uneven development of energy production and consumption, vulnerability, and transformation processes, along with factors such as globalization, urbanization, international development, and social justice, all shape the changes in the energy system regarding resource, economic, infrastructural, and geopolitical landscapes. The study of energy geographies focuses on issues such as energy accessibility, energy security, and low-carbon transitions. It aims to reveal the critical impact of energy on social sustainable development and to explore the profound logic of the interaction between energy and society. Energy and Society: A Critical Perspective is a comprehensive work in the field of energy geography, encompassing three interrelated sections: energy, spaces, and flows; securities, vulnerabilities, and justice; and transitions, governance, and futures. This book emphasizes the social embeddedness of energy systems through a critical perspective, placing energy issues in a broad social and historical context. It explores how energy systems and social structures shape each other and includes numerous case studies, making it an important reference for academic research in energy geography and related policy studies. In the future, China's energy geography research can be strengthened in the following four areas: the multi-scalar nature of energy decision-making, the social and spatial diversity of consumption practices, the cross-border nature of China's energy economy, and the diversification of actors in the transition.

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    Is the "Impossible Triangle" of the energy in China really impossible? An empirical test based on Coupling Coordination Degree Model
    Yi WANG, Shuya CAI, Xiaoting LI, Yuqi LU
    2024, 33(8): 87-101.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222359
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    In the context of carbon peak and carbon neutralization, the Energy Impossible Triangle may be the key variable that restricts the high-quality energy development in China. Taking 30 provinces in China as the research object, this paper established an evaluation index system of energy security and reliability, economic feasibility, green and low-carbon (hereinafter referred to as "Security-Economy-Green"). By using the entropy method, coupling coordination degree model and kernel density estimation method, this paper comprehensively studied the development level of energy "Security-Economy-Green" in China from 2005 to 2019, as well as the temporal evolution, spatial differentiation and convergence characteristics of the coupling coordination degree. The results show that: ① In the aspect of the temporal evolution, from 2005 to 2019, the coupling coordination degree of energy "Security-Economy-Green" has been steadily increasing, gradually rising from the mild imbalance level to the near imbalance level, and the polarization phenomenon has gradually weakened, but most of the periods are in the state of "mild imbalance". ② In terms of spatial differentiation, our country energy "Security-Economy-Green" coupling coordination degree shows certain spatial heterogeneity, presenting the spatial differentiation pattern of "high in eastern and western regions, low in central and northeast regions". No significant rank transition occurred in each region and energy spatial pattern has certain locking characteristics or path dependence. ③ As for the space convergence, the nation and four regions have absolute β convergence and conditional βconvergence characteristics, and energy "Security-Economy-Green" coupling coordination degree will eventually converge to the same steady state level over time. The region with a low coupling coordination degree grows faster compared to the high, and the regional gap is narrowing. Taken together, there is indeed a certain Energy Impossible Triangle problem in our country at present, but according to the trend, this problem is being gradually alleviated. Finally, from the perspective of dialectics and countermeasures, we put forward some thoughts on the Energy Impossible Triangle.

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    Spatial and temporal heterogeneity of factors influencing carbon emissions from energy consumption in Chinese cities
    Sufeng WANG, Jiantao HONG, Huafu LI
    2024, 33(8): 102-116.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222252
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    Based on the constructed synthetic DMSP/OLS nighttime lighting dataset, carbon emissions from energy consumption in 286 cities in China from 2005 to 2019 were simulated and their influencing factors were analyzed from the perspective of spatial and temporal heterogeneity using the MGWR model. The results show that: ①The MGWR model is more suitable for analyzing the spatial heterogeneity of factors influencing carbon emissions in Chinese cities. ②In general, economic development and energy intensity facilitate carbon emissions from energy consumption in Chinese cities. Industrial upgrading and population density mainly show inhibiting effects, while foreign investment, population size, and green innovation show a heterogeneous impact model. ③specifically, the effects of each factor have strong spatial and temporal heterogeneity. The positive effect of economic development increases from east to west and from south to north; the energy intensity shows a positive impact with the central cities as the center and decreases in a radial pattern; the high-value area of the negative impact of industrial upgrading is mainly in the areas of Jiangsu, Zhejiang, and Shanghai, while the low-value area is in the provinces of Guangxi, Guizhou, Yunnan, and Hainan; the negative impact of population density is low in the cities of the northeast; the negative impact of foreign investment tends to increase from west to east; the impact pattern of population size changes from heterogeneous to positive, with the positive impact decreasing from the northeast to the southwest; the impact pattern of green innovation changes from negative to heterogeneous, with the positive impact area mainly in the cities of the Yangtze River Delta.

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    Temporal and spatial evolution characteristics and influencing factors of talent accumulation in Chinese cities
    Haiyan JIN, Xiao LIU, Pei LI
    2024, 33(8): 117-131.  DOI: 10.3969/j.issn.1004-9479.2024.08.20220221
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    Based on the fifth and sixth national census data and the seventh national census bulletin of administrative regions at the prefecture level and above, the Gini coefficient, Theil index, spatial autocorrelation analysis and other methods are used to analyze the temporal and spatial evolution characteristics of talent agglomeration in Chinese cities from 2000 to 2020, and the multiscale geographically weighted regression is used to study the spatial heterogeneity and spatial scale of the influencing factors of talent agglomeration. The results show that: ①There is a large gap in the distribution of talents in eastern, central, and western cities in China, forming a distribution pattern of "strong in the east and weak in the central and west" and regional "one super and many strong", and the gap in average talent density tends to narrow. ②The distribution of talents shows great imbalance, with a slight weakening trend of instability. ③On the whole, the density of talents presents a significant positive spatial autocorrelation, and the spatial agglomeration effect of talents is becoming more and more significant. Locally, the Yangtze River Delta high-high talent agglomeration area and the Pearl River Delta high-high talent agglomeration area are gradually formed; the low-level talent agglomeration area composed of low-low talent agglomeration cities will have a homogeneous impact on its neighboring cities; some provincial capital cities in the west have significant high-low agglomeration characteristics, forming a "center-periphery" talent agglomeration pattern. ④The proportion of tertiary industry in GDP, the proportion of science and education expenditure in total fiscal expenditure, per capita GDP, the number of general higher education institutions, per capita public library collections, and the number of public transportation vehicles per 10 000 people have a significant positive impact on talent agglomeration, and the intensity of the impact decreases in order. Among them, the economic environment factor represented by the tertiary industry's share of GDP and per capita GDP has a relatively small spatial scale and strong spatial heterogeneity. Other independent variables are close to the global scale, and the spatial heterogeneity is not obvious.

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    The spatial evolution and determinants of regional economic resilience in the Pearl River Delta: An analytical perspective based on knowledge bases
    Lin AN, Lili XIA, Jiazeng ZHANG, Jiange LIN
    2024, 33(8): 132-147.  DOI: 10.3969/j.issn.1004-9479.2024.08.20220270
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    This paper used the theoretical tool of knowledge bases, constructed the index system from five dimensions of production, consumption, labor market, foreign trade and innovation to explore the spatial evolution of economic resilience and the impacts of different knowledge bases on regional economic resilience in the Pearl River Delta. The results are as follows: ①Industrial knowledge bases are differentiated into five types: analytical knowledge base, symbolic knowledge base, analytical-synthetic knowledge base, synthetic-analytical-symbolic knowledge base, and synthetic-symbolic-analytical knowledge base. ②From 2005 to 2019, the regional economic resilience level of central cities increased noticeably, while that of the eastern and western cities decreased. As a whole, the spatial structure of economic resilience changes from the "double core" of the central and eastern regions to the "single core" of the central regions. ③The specialization of analytical knowledge base and proportional equalization of knowledge bases significantly improve regional economic resilience, while the specialization of symbolic knowledge base and synthetic-symbolic-analytical knowledge base go against the improvement of economic resilience. ④Research and development resources have significant positive effects on the improvement of economic resilience, while economic scale has negative effect. Through the innovative source of knowledge production, understanding and identifying the differences in economic resilience performance of cities with different innovative characteristics can provide a new framework and ideas for the differentiated strategy of enhancing regional resilience and path selection of sustainable development.

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    Evolution characteristics of international innovation cooperation network in Zhongguancun: Based on PCT patent analysis
    Caiyun ZHAO, Lachang LYU
    2024, 33(8): 148-160.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222185
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    Science and technology parks are increasingly becoming the key carriers of international innovation cooperation. Revealing the evolution characteristics of the international innovation cooperation network of Zhongguancun has important reference value for Zhongguancun to formulate international innovation cooperation policies. Based on PCT patent cooperation data, using social network analysis and spatial analysis methods, this paper discussed the evolution characteristics of the international innovation cooperation network of Zhongguancun on the basis of clarifying its development process. The research findings are as follows: ①The international innovation cooperation network of Zhongguancun has experienced an evolutionary process from low-level to high-level development from initial establishment to rapid development and then to transformation and upgrading.②International innovation cooperation shows a spatial pattern of expansion before contraction. The United States has always been the main target of cooperation. Each sub-park in Zhongguancun has formed a core area with Chaoyang Park as the main area and Haidian Park and Shijingshan Park as the auxiliary areas. The spatial agglomeration structure mode of Chaoyang Park American cooperation has gradually emerged.③The number of international cooperation subjects is increasing in a fluctuating trend. The core position of local enterprises in the network is gradually strengthening. The core subjects of the network have changed from multinational giants to local leading enterprises and multinational companies for common development.④Image communication, wireless communication network and electronic digital data processing are the hot areas of international cooperation in Zhongguancun. Among them, cooperation with the United States in the field of image communication has increased, and cooperation with the United Kingdom in the field of electronic digital data processing has increased; cooperation with Japan mainly focuses on the field of wireless communication networks.

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    High-speed railways and regional knowledge innovation:
    Huasheng ZHU, Fei YAO, Jiachen YUE
    2024, 33(8): 161-173.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222122
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    The improvement of transportation infrastructure can reshape the economic geography patterns. The opening of high-speed railways promotes the flow of innovation elements among regions, enhances the knowledge spillover effect, affects regional innovation activities, or even affects the structure of regional knowledge innovation network. Based on the extant literature, this article summarized the relationship between high-speed railways and knowledge innovation in cities along railway lines in terms of the exact impact, differential performance and the mechanism, and further explained the micro mechanism of the impact of the opening of high-speed railways on regional knowledge innovation from the perspective of enterprises. According to the literature analysis, this article draws the following conclusions. Firstly, high-speed railways do have an impact on knowledge innovation, but there are regional differences, which are related to geographical distance and urban heterogeneity. Secondly, the opening of high-speed railways promotes the flow and agglomeration of innovation factors, and expands knowledge spillover effects, which will affect regional knowledge innovation. However, both the agglomeration effect and knowledge spillover effect have two sides, so they show different influence effects in different regions. Thirdly, the opening of high-speed railways is conducive to expanding the commuting field, broadening knowledge channels and increasing temporary agglomeration, so as to increase the opportunities for enterprises to obtain innovative talents, cross-regional cooperation and knowledge sharing, and promote their innovative output. Finally, this article puts forward an analytical framework and some topics worthy of in-depth discussion.

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    Spatial and temporal evolution of border trade in Yunnan counties and its influencing factors
    Yusi LIU, Cansong LI, Xurui GE, Tao WANG, Fan WANG
    2024, 33(8): 174-188.  DOI: 10.3969/j.issn.1004-9479.2024.08.20222523
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    Using Coefficient of Variation and GIS spatial analysis, we detected the spatial and temporal evolution and development patterns of border trade in Yunnan counties, analyze the development pattern of border trade in depth by combining with the model of border trade development level, and explore the driving mechanism of border trade by using geographic probes. The results show that: ① the overall trend of county border trade in Yunnan Province is on the rise, and the total volume varies unevenly among counties, with Ruili City in the west and Mengla County in the south as the representative counties with higher total trade volume, while the overall trade volume in Ximeng County in the southwest and Lushui County in the northwest is smaller.② From 2010 to 2020, the development pattern of county border trade in Yunnan Province varies.③ During the same period, the border trade development in the western and southeastern border counties is high and the growth rate is stable; the development in the northwestern and southwestern counties is low and the growth is fast; the development in the southern counties is high and the growth is slow.④ The main driving factors affecting the border trade in the counties factors are policy and transportation factors, and the secondary driver is GDP per capita, while there are differences in the driving factors of border counties with different neighboring countries.

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