As an advocate and promoter, it is of great significance to assess and analyze China's influence along B&R for promoting the joint construction of B&R and maintaining regional stability and development. The receiver's perspective focuses on the feedback of the information receiver, which can reflect the scope and degree of influence more objectively and effectively. Based on the receiver's perspective, this study constructed a model of the national influence evaluation system, used GDELT news events and Google Trends data for quantitative measurement, analyzed the spatiotemporal evolution characteristics of China's influence along B&R from 2016 to 2022, and explored the evolution mechanism of China's influence by focusing on the transformation process of "national power-national influence".The results show that: ① During the study period, China's overall influence along B&R has shown a slight fluctuation and downward trend, with an average annual decline rate of 5%, and has gone through three stages: overall stability, rapid decline, and local rebound. ② China's influence showed a spatial pattern of distance decay, forming a "core-periphery" structure, while the high-value countries in the local region showed a belt-like and point-like distribution. ③ The spatiotemporal evolution of national influence is driven by both static national power and dynamic interactions between countries. National power is the supporting factor for the formation of national influence, the interaction forms between countries are the intermediary factors for the transformation of national power into national influence, and the interaction skills as well as multidimensional distance between countries are moderating factors. ④ The enhancement of China's influence lags behind the growth of national power. Although there have been certain improvements in soft power, interaction forms, and interaction skills, there is still great potential for improvement.

Based on the trade data between China and the countries along the Bay of Bengal during 1995-2021 and the analysis of the scale of trade and its trend of change in this region, this paper measures the trade competition index and trade complementarity index and reveals the holistic characteristics of the trade relations as well as the functional characteristics of each country with the network analysis method. The findings show that： ① the trade exchanges between China and countries along the Bay of Bengal are getting closer and closer. Most of the export products are technology-intensive and capital-intensive， and there are intra-industry trade characteristics in some industries.② during the sample observation period， the trade competition between China and countries along the Bay of Bengal gradually tends to ease， while the trade complementary relationship has been strengthened. ③ the network of trade competition in the "China-Bay of Bengal" region is relatively stable， and a relatively stable network of trade complementarity has been formed. At the same time， there is great potential for trade cooperation between China and the Bay of Bengal. ④the evolution of the network structure of trade competition in this region is a gradual process. The correlation coefficients of the trade competition network and the trade complementarity network show a decreasing trend with time. Based on this， this paper provides policy recommendations for the development and optimization of trade relations between China and the countries along the Bay of Bengal.

Exploring the trade relationship, efficiency, and potential between China and Belarus is of great significance for fostering a robust trade partnership between the two countries. Based on global trade data from 2000 to 2022, this paper employs social network analysis to examine the structural characteristics of the "Belt and Road" trade network, revealing the dynamic evolution of China and Belarus's positions within the network. The study also utilizes a stochastic frontier gravity model to estimate the trade efficiency and potential between China and Belarus. The findings indicate that from 2000 to 2022, the position of China and Belarus in the "Belt and Road" trade network has shifted, with the trade connection between the two countries gradually strengthening, though room for improvement remains. China's core position in the trade network has steadily increased, while Belarus's influence has declined. The trade efficiency between China and Belarus is influenced by various factors: the GDP and population of other countries and shared borders promote trade efficiency, while the population and distance between the two countries decrease it. The trade inefficiency model suggests that the level of goods trade, natural resources, internet development, infrastructure, and government efficiency contribute to boosting China-Belarus trade, whereas tariffs and World Trade Organization membership may hinder trade development. During the sample period, China and Belarus's export efficiency, bilateral trade efficiency, and potential have all increased, but import efficiency has declined annually.

To explore the coordinated relationship between the employed population and economic development in the Great Lakes region of Africa from 2000 to 2020, geographic concentration, the coupled coordination model, and random forests are used to systematically reveal the mechanism of interactions between the structure of the region's employed population and its economic development.The results are as follows: ① The analysis of industrial structure deviation shows that there is a significant imbalance in the development of industries in the region, with a general surplus of labor in agriculture and insufficient employment opportunities in industry, and uneven development capacity in the service sector, pointing to the necessity of structural adjustment;② The high degree of consistency in the geographic concentration of the economy and the employed population reveals the decisive influence of geographic location on the distribution of economic activities and employment, providing a spatially directed reference for regional development strategies; ③ Analysis of the degree of coupling coordination shows significant interregional differences and evolution over time, showing a spatial distribution that is better in the east than in the west, as well as different trends over time in different countries; ④ There is a significant difference in the impact of gender on economic development in employment in the three industries, with the impact of men far exceeding that of women, emphasizing the importance of promoting gender equality in enhancing the quality of female employment and economic development.This study has significant practical implications for China-Africa cooperation and the "Belt and Road" Initiative, providing empirical evidence and policy recommendations for the economic development of the African Great Lakes region and other similar areas. These findings are of great theoretical and practical importance for understanding the current economic situation in the Great Lakes region and for future policy formulation.

Strategic key metals have a wide range of uses and are the focus of a new round of international competition in emerging industries, and the improvement of their industrial competitiveness and high-quality development are of strategic importance to safeguard national resources and economic security. Based on Porter's diamond model, this paper adopts the improved panel data qualitative comparative analysis (PD-QCA) method in R language environment to study the representative panel data of four metals, namely, tungsten, cobalt, antimony, and lithium, from 2020 to 2022. The results found that: a single condition does not constitute a necessary condition for the improvement of international competitiveness; the overall explanatory strength of the group is still strong, and the explanatory strength of group 1 for the improvement of international competitiveness is robust; there is a certain degree of "non-beneficial bias" in group 1 and 2, and the consistency is significantly higher than that of cobalt in the cases of tungsten, antimony, and lithium. It is concluded that: the international competitiveness of strategic key metals is affected by multiple factors and driven by two group paths; the expansion of domestic demand is an important support for the improvement of international competitiveness; and the explanatory strength of the improvement of international competitiveness due to peer competition shows a decreasing trend in the case years.

This study utilized Bibliometric analysis method and conducts co-word analysis and keyword cluster analysis via Citespace V, by collecting literature data of semiconductor clusters from Web of Science database between 1994 to 2024. Though the review of extensive and relevant literature, this paper comprehensively revisited and commented on the location distribution, organizational structure, enterprise pattern, influencing mechanism and cluster network of semiconductor clusters in typical countries / regions worldwide. Of particular concern was the semiconductor cluster pathways of U.S., Japan, South Korea, China's Taiwan and Singapore. The paper concludes that: ① California School focuses more on the geographic agglomeration and highly localized network of small and medium-sized startups and spin-offs in Silicon Valley, comparatively, New industry cluster School puts more emphasis on the hierarchical organization of large vertically integrated semiconductor manufacturers in the U.S. and Japan, where it forms three cluster types: pure agglomeration, industrial complex and social network. ② As for divergent pathways, plenty of small-sized and specialized local companies reach ascendancy in China's Taiwan semiconductor, supporting power of government role, i.e., public sector, government research institution and science-base industrial park. Whereas semiconductor of Japan and South Korea pay more attention to the private sector, led by a few large diversified and dramatically monopolistic Zaibatsu / Chaebol. House System and Integrated Devices manufacturing dominate the semiconductor market while small medium-sized enterprises are relatively under-developed. Singapore establishes export-oriented semiconductor clusters through the technological leverage as the influx of multinationals locally. Moreover, the paper critically suggests big picture and the long arc of the future in China's semiconductor cluster, with a turning focus on semiconductors clusters in different value production segments, inter-cluster linkages from global value chain perspective, as well as the reconfiguration of semiconductor clusters in the context of latest geopolitical challenges and U.S.-China rivalry.

Venture capital activities of S&T innovational startups play an important role in strengthening original leading scientific and technological research. Based on the data of S&T innovation venture capital startup engine enterprises in 280 cities in China from 2006 to 2020, we constructed a network and explored the spatial evolution and influencing factors of S&T innovation venture capital in China with the help of complex network analysis, spatial analysis and other methods. The study shows that: ①The overall scale of the linkage of S&T innovation venture capital network in is expanding stage by stage, meanwhile the network indicators such as the number of participating cities and the network density are still at a low level, while the tendency of S&T innovation venture capital activities is gradually concentrating to high-tech industries; in addition,S&T innovation startups is aggregating in economically developed regions such as Beijing and Shanghai. ②The distribution of financier of S&T innovation venture capital network has strong spatial heterogeneity, but most of the economically less developed in central and western regions have not yet been embedded in the network of S&T innovation venture capital. The spatial distribution of investors is characterized by path dependence and path breakthrough, in addition, Beijing, Shanghai and Shenzhen as the representative of the eastern coastal cities, have always been the core areas of the network, while the breakthrough trend of S&T innovation venture capital to the inland cities in the central and western regions, such as Chengdu and Hefei has strengthened. At the same time, the strengthened trend of breakthrough of S&T innovation venture capital network to Chengdu, Hefei and other central and western inland cities is obvious.③S&T innovation venture capital network shows a hierarchical structure of "core-edge", Beijing and Shanghai as the double core expanded to Beijing, Shanghai, Shenzhen and Hangzhou as the four cores of hierarchical structure, achieving a clear leap up in the city circles of each hierarchical level.④The results of the panel regression model find that the economic development level, financial development, entrepreneurial activity, entrepreneurial infrastructure and the degree of openness to outside world exert a positive and significant influence on the activities of S&T innovation venture capital.

The study elaborates the theoretical connotation of construction land transformation and constructs a measurement system, applies the combined assignment TOPSIS model, global trend surface, center of gravity migration model and standard deviation ellipse to study the spatial and temporal evolution characteristics of construction land transformation in the Beijing-Tianjin-Hebei urban agglomeration, and applies Geographic Detector to identify its driving factors. The results show: ① the construction land transformation is characterized by the "rapid rise-oscillatory fluctuation-smooth rise" stage; ② the construction land transformation is characterized by the pattern of northeast high-southwest low, regional synergy, and smooth rise; ③the center of gravity of the construction land transformation is located in the southeast of the geometric center of the Beijing-Tianjin-Hebei region and eventually shifted to the northeast, and the standard deviation ellipse shows obvious northeast-southwest directiona change, and the spatial distribution is relatively smooth; ④ the construction land transformation is driven by multiple factors and the interactions of the driving factors are all mutually reinforced, indicating that the interactions of the driving factors enhance the explanatory ability of the construction land transformation.

Revealing the spatiotemporal pattern and driving mechanism of land resource misallocation in population loss counties is of significant importance in enhancing the efficiency of land use. Based on theoretical analysis, this study employs mathematical statistics and GIS mapping methods to analyze the spatiotemporal pattern of land resource misallocation in population loss counties of Anhui Province from 2010 to 2021. The driving mechanism of land resource misallocation in population loss counties is examined using econometric fixed-effect unbalanced panel regression model and instrumental variable methods. The results indicate that： ① During the study period， the main manifestation of land resource misallocation in population loss counties of Anhui Province is relatively excessive allocation， which shows a gradually improving trend. The improvement in northern Anhui is evident， with local adjustments in central Anhui， and a worsening misallocation in southern Anhui.②The analysis of the driving mechanism reveals that the regression coefficients of economic growth， fiscal pressure， and population loss are 0.3776， 0.3088， and 0.3146， respectively， which are the primary driving factors of land resource misallocation in population loss counties and also the main causes of relatively excessive land resource allocation. Relatively short land resource allocation is primarily influenced by population loss.③ Constrained by geographical environment and population size factors, the influence mechanisms of land resource misallocation in population loss counties in northern Anhui, central Anhui, and southern Anhui exhibit significant differences. In the future, the promotion of people-centered urbanization should be accelerated to improve resource allocation efficiency, enhance the welfare of residents' consumption, and drive the high-quality development of the real economy.

The agglomeration shadow phenomenon caused by the siphon effect of the central city is an important aspect and manifestation of regional development imbalance. The integrated construction of urban agglomerations will inevitably have a significant impact on the agglomeration shadow. Taking 656 district and county units in seven provinces and two cities in the three major urban agglomerations of the Yangtze River Economic Belt from 2010 to 2020, this paper explores whether the integration policy of urban agglomerations is conducive to alleviating the phenomenon of agglomeration shadow within urban agglomerations. The empirical results show that： ① Regional per capita GDP of the three major urban agglomerations has improved as a whole， and the internal economic development gap is narrowing. The integration policy of urban agglomerations has a significant positive impact on alleviating the internal agglomeration shadow phenomenon. ②From a regional perspective， the policy effect of the Yangtze River Delta urban agglomeration is the most significant， while the policy effect of the middle reaches of the Yangtze River and Chengdu-Chongqing urban agglomeration （economic circle） has not been reflected. ③ The mechanism study finds that the agglomeration shadow can be effectively alleviated through the transfer and diffusion of industrial industries from central areas to peripheral areas within urban agglomerations. Although the opening of high-speed rail aggravates the regional agglomeration shadow, it still has a positive impact on alleviating the agglomeration shadow within the urban agglomeration compared with the external areas of the urban agglomeration. Finally, according to the research conclusions, relevant suggestions are put forward in three aspects: expanding the policy effect, strengthening the industrial coordination of urban agglomeration and the construction of industrial clusters, and improving the high-speed rail network to realize the free flow of regional elements.

Investigating the spatial distribution of innovation activities is of great significance for building a high-quality innovation development pattern. Based on the monocentric-polycentric perspective, using the panel data of 14 urban agglomerations in China from 2009 to 2019, this paper empirically explores the influence of digital economy development on the evolution of urban agglomeration's innovative spatial structure. It is found that: ① The development of digital economy can narrow the innovation gap between cities and promote the evolution of innovative spatial structure of urban agglomeration to polycentric mode. In terms of subdivision dimension, the development of digital finance plays the greatest role in promoting the evolution of innovative polycentric spatial structure of urban agglomeration, followed by digital innovation ability. ② The role of digital economy in promoting the innovative polycentric spatial structure of urban agglomerations gradually appeared after the 18th CPC National Congress in 2012, and was further enhanced since the 19th CPC National Congress in 2017. ③ Reducing the development gap of knowledge-intensive service industry and promoting the process of market integration are two important ways for the digital economy to empower the evolution of innovative polycentric spatial structure of urban agglomerations, among which accelerating the process of market integration plays a greater intermediary role. The research conclusion provides policy reference for deepening the development of digital economy and optimizing the spatial pattern of urban agglomeration innovation.

With the continuous improvement of the national high-speed railway network, the geographical distribution of suppliers of enterprises continues to extend. Making full use of the time-space compression advantage of high-speed railway and exerting the productivity effect of the expansion of the geographical distribution of suppliers are of great practical significance to the construction of a unified national market. This paper utilizes the data information of listed companies and their top five suppliers from 2008 to 2021， combined with the latitude and longitude of the locations of the enterprises and suppliers， and their high-speed rail connectivity， to deeply explore the impact of the expansion of suppliers' geographical distribution on the total factor productivity of enterprises and the moderating effect of the opening of high-speed rail. The research finds that： ①The expansion of suppliers' geographical distribution has a significant promotion effect on enterprises' total factor productivity， and this conclusion still holds after a series of robustness tests such as substitution variables， instrumental variable tests， and consideration of exogenous policy shocks； ② The promotion effect of the expansion of suppliers' geographical distribution on enterprises' total factor productivity is heterogeneous due to the differences in enterprises' ownership， geographical region and the industry's technological talent intensity； ③ The mechanism analysis shows that the expansion of suppliers' geographical distribution increases firms' total factor productivity through three mechanisms： specialization， innovation spillover， and supply chain resilience enhancement； ④ The opening of the high-speed rail would strengthen the promotion effect of the expansion of suppliers' geographical distribution on firms' total factor productivity.

The manufacturing industry is an important driving force for the economic development of metropolitan areas. By optimizing the layout structure of the manufacturing industry within the metropolitan area, the overall competitiveness of the metropolitan area can be improved and sustainable economic development can be achieved. This article takes the Wuhan metropolitan area as an example, based on the data of industrial and commercial enterprises in Hubei Province and the three call vector data, and uses various spatial statistical methods such as spatial autocorrelation analysis and kernel density analysis to explore the characteristics and evolution process of the production space pattern of the manufacturing industry in the Wuhan metropolitan area, and reveal the impact mechanism of the production space in the Wuhan metropolitan area, Research shows that: ① The overall pattern of production space in the manufacturing industry of the Wuhan metropolitan area is characterized by prominent features at the core circle level, uneven distribution and layout, and differences in the spatial pattern of different types of manufacturing industries; ② The production space of the manufacturing industry in the Wuhan metropolitan area presents an evolutionary model of polar core development, circle layer development, axis development, and networked development; ③ The regulation of the market, the support of the transportation system, the guidance of policy systems, and the driving force of innovation environment jointly affect the distribution of manufacturing production space, and the impact mechanisms of different types of manufacturing production space vary.

As a core course of geographical science, world geography is an important way to understand the world and serve the development of China and plays a unique role in the construction of curriculum thought and politics. Based on the integration principle, the construction of the curriculum thinking and politics model and the top-level design of curriculum thinking and politics is carried out. It includes re-imagining political cases as the main teaching content, building online and offline interactive teaching platform, adopting students as the main teaching methods, and forming goal differential teaching evaluation. At present, a set of teaching documents, curriculum resources and relatively complete teaching methods and means have been formed for the practice.