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  • Bo LI, Xinyang ZHANG
    Science Technology and Industry. 2025, 25(11): 277-281.

    The signing of RCEP(Regional Comprehensive Economic Partnership Agreement) provides an important platform for exchanges and mutual learning between Chinese and foreign civilizations, and also provides a valuable opportunity for the export of Chinese cultural products. Based on the data of China to RCEP partner countries from 2009 to 2022 in the United Nations Trade Statistics Database, the method of gravity model was used to study the influencing factors and potential of China’s cultural product export trade to RCEP countries. The results show that the economic scale, population size, and whether the two sides have a common language have a significant positive effect on the growth of China’s cultural product exports. China has great potential for RCEP to carry out export trade of cultural products, and there is still a broad space for cooperation in the future. In order to further lease China's exports of cultural products to its partner countries, China should improve the relevant legal system, optimize the structure of cultural products, and strengthen multilateral cooperation mechanisms with RCEP countries.

  • Fangtong LIU, Hua LIU
    Science Technology and Industry. 2025, 25(11): 132-142.

    Based on China’s provincial panel data from 2012 to 2022, a two-way fixed effects model, spatial Durbin model, and moderation effect model were used to empirically test the impact of innovation factor agglomeration on the high-quality development of the manufacturing industry. The results show that the agglomeration of innovation factors can promote the high-quality development of manufacturing industry, and at the same time, hinder the high-quality development of manufacturing industry in neighboring areas while promoting the high-quality development of local manufacturing industry. The positive regulatory effect of digital transformation on the agglomeration of innovative factors and the promotion of high-quality development in the manufacturing industry was significant in the eastern region, but not significant in the central and western regions. The digital transformation positively regulated the relationship between the agglomeration of innovation factors and the high-quality development of manufacturing industry in the local area, with weak regulatory effects on geographically adjacent regions and strong regulatory effects on economically adjacent regions. The agglomeration of innovative factors in high marketization areas can promote the high-quality development of the manufacturing industry more significantly, compared to low marketization areas. Finally, policy suggestions are put forward, including promoting regional innovation cooperation,strengthen the construction of digital infrastructure, and facilitate the appropriate aggregation of innovation factors.

  • Zhaoyang JIN, Gang NIU
    Science Technology and Industry. 2025, 25(11): 47-53.

    In the process of large-diameter slurry shield tunneling, encountering boulder groups in front of the cutter head often occurs, which significantly impact tunneling efficiency and construction safety. To achieve rapid and efficient handling of boulder groups closely adjacent to the slurry shield cutter head, reduce the frequency of pressure-compromised opening for tool replacement, and ensure safe and smooth passage through boulder areas, the Fuzhou Metro Binhai Line project’s Binhai Zhong section was taken as a case study. Through in-depth analysis of key aspects such as tunneling anomalies, tool inspections, tool replacements, ground re-examinations, and handling of boulders adjacent to the cutter head, innovative techniques and processes such as the “rock crushing and downward pressure method” and the “rock pushing and filling method” have been proposed. These effectively address the challenges posed by boulder groups encountered during large-diameter slurry shield tunneling, significantly shortening the construction period for passing through boulder areas and providing a systematic solution and reference for similar projects.

  • Zhengyan WEI, Yizhe SHI
    Science Technology and Industry. 2025, 25(11): 143-148.

    Technological innovation, as the primary driving force for the development of China’s digital economy, plays an important role in triggering industrial transformation and giving birth to emerging industries.An empirical analysis on the mechanism and path of the impact of panel data from Chinese new energy vehicle listed companies from 2012 to 2022 were conducted. Research has found that the digital economy significantly enhances the technological innovation capability of the new energy vehicle industry. The digital economy drives innovation in state-owned new energy vehicle enterprises more strongly than in private enterprises. Compared to western cities, the digital economy has greater innovation in new energy vehicle technology in eastern cities. Therefore, in the field of new energy vehicles, fully leveraging its big data resources and information advantages is an inevitable trend to lead the development of the new energy vehicle industry.

  • Zhen QIAO, Haixia REN
    Science Technology and Industry. 2025, 25(11): 111-117.

    Technological innovation leading the construction of a modern industrial system has become a key task at present. As an important component of the modern industrial system, how technological innovation lead the development of future industries has become an important research topic. On the basis of sorting out the concept, content, and characteristics of future industries, the path of technological innovation leading the development of future industries was explored from a theoretical perspective, including strengthening top-level planning and layout, increasing the supply of original scientific and technological innovation achievements, and strengthening the synergy of technological innovation elements. Finally, taking Jiangsu, Beijing, and Shanghai as cases, the practical exploration of promoting future industrial development in three provinces and cities was explored, in order to provide theoretical and practical references for other provinces and cities to promote future industrial development.

  • Quan LI
    Science Technology and Industry. 2025, 25(11): 84-90.

    Overriding sand bodies of Jurassic Shaximiao Formation in Tianfu gas field are developed vertically, and the formation pressure of gas-producing layer varies greatly from shallow to deep. There are distributions of pressure coefficients from ultra-low pressure, low pressure to normal pressure. Due to the multiple influences of storage, gas-bearing property and formation pressure, the error of gas reservoir productivity prediction is always great. For this problem, taking the tight gas of Tianfu gas field as an example, gas reservoir production levels were divided according to the main factors of productivity firstly, and the equivalent cylinder model of gas reservoir under different production levels was established. According to the characteristics of gas reservoir, Redlich-Kwong equation of state was selected to deduce and calculate the total mass of methane in equivalent cylinder under formation conditions. Then, according to the total mass, a gas production prediction model was established to realize the productivity prediction of gas reservoir of multi-pressure system. And the following research results were obtained.The equivalent cylinder model of gas reservoir integrates the main factors of productivity in the study area, and a semi-theoretical and semi-empirical productivity prediction model is constructed through theoretical derivation and statistical analysis, which is more meaningful than mathematical statistics. Based on Redlich-Kwong equation of state, the model fully refers to the formation conditions and fluid characteristics in the study area, which is helpful to improve the prediction accuracy. Using actual data, compared with multiple regression method to predict gas production, the productivity prediction method based on equivalent cylinder model has smaller error.

  • Ruijiao LI, Handing GUO
    Science Technology and Industry. 2025, 25(11): 371-376.

    The green transformation in existing residential areas is an important basis for building an ecological civilized city and an inevitable requirement for energy conservation and emission reduction in the construction industry.The practical characteristics was summarized of the governance of existing building energy-saving renovation projects in foreign countries from four aspects: economic incentives, laws and regulations, energy-saving publicity and education, and contract energy management. The current situation was expounded of governance practice of China’s existing building energy-saving renovation projects from four aspects: laws, regulations and standards, financial incentive incentives, the EPC(energy performance contracting) model, and the use of energy-saving technologies. At last, the practical difficulties and bottlenecks were analyzed of green renovation projects in existing residential areas and puts forward practical countermeasures, so as to promote the long-term development of green renovation projects in existing residential areas.

  • Zhi LIAO, Qiong LI
    Science Technology and Industry. 2025, 25(11): 340-345.

    Based on China’s provincial panel data from 2007 to 2020, the entropy method, coupling coordination model and spatial econometric model were used to explore the coupling coordination level and influencing factors of social assistance common prosperity. The research results show that at the overall level, social assistance has promoted the overall development level of common prosperity, and the number students in higher education and the elderly population support ratio have a positive spatial spillover effect on the coupling coordination degree of social assistance and common prosperity. At the level, the coupling coordination of the three regions is specifically manifested as the central region>the eastern region>the western region, with regional differences.

  • Jiayi WANG, Yuhan ZHAI, Chengjie LI, Lachang LÜ
    Science Technology and Industry. 2025, 25(11): 289-299.

    Based on the incoPat patent index database, a study was conducted on the global competition landscape of AI chips and lithography technology, focusing on four key dimensions: year, region, applicant, and patent value. The results indicate that from 1990 to 2023, patent applications for global AI chips and lithography technologies have been rising annually. China plays a significant role in terms of patent applications and the sources of patent inventors for AI chips and lithography technology. However, in terms of applicant distribution and patent value, it has not yet ranked among the leaders. There is a gap between China and the international advanced level in patent concentration and core technological competitiveness. In order to improve its position in global competition, it is suggested to strengthen its patent strategy and technological innovation.

  • Pengji LI, Shan ZHONG, Lili ZHANG
    Science Technology and Industry. 2025, 25(11): 243-250.

    New quality productivity relies on technological innovation to achieve efficient production through strategic emerging industries, and research and development investment is the key to its formation. By constructing a computable general equilibrium model to explore the inherent logic of the impact of R&D investment on the development of new quality productivity at the theoretical level, data from listed companies from 2000 to 2019 was used for empirical analysis. The results show that R&D investment significantly improves the overall factor productivity of high-tech industries. The degree of economic marketization plays a regulatory role in this process, with the central region being most significantly affected, followed by the eastern region, and the western region having the least impact. In addition, the government market relationship in the eastern region plays an important role in regulating the impact of high-tech enterprise R&D investment on total factor productivity. The study reveals the differential impact of R&D investment on total factor productivity in different regions, and suggests continuously increasing R&D capital for strategic emerging industries and implementing differentiated policies according to local conditions to promote economic development.