Technological Innovation Ability Research Articles

An Analysis on the Path of Local Application-oriented Universities and Colleges Serving Rural Revitalization Strategy from the Perspective of New Quality Productive Forces

With the in-depth implementation of Rural Revitalization Strategy, local application-oriented universities and colleges should play an important role in students’ cultivation, scientific and technological innovation, social services, and other aspects. However, at present, local application-oriented universities and colleges are faced with many deficiencies and difficulties in supporting the strategy of rural revitalization. The research results show that there are some problems in local application-oriented universities and colleges, such as the lack of close connection between students’ cultivation and rural revitalization needs, weakness in scientific and technological innovation ability, and imperfection of social service mechanisms. This paper takes new quality productive forces as the breakthrough point and clarifies its connotation and characteristics. At the same time, it analyzes the difficulties of local application-oriented universities and colleges in serving the strategy of rural revitalization, to explore the corresponding solution. To provide a reference for local application-oriented universities and colleges to better support Rural Revitalization Strategy, this paper puts forward the urgent need to renew the concept and the mode of student cultivation, optimize the layout of academic disciplines, and cultivate high-level innovative undergraduates through the deep integration of production, university, and research.

Evaluation index system of science and technology innovation think tank talents based on competency model

As China’s economy progresses towards high-quality development, the construction of science and technology think tanks, with talent construction as the key, has become an important supporting force and occupies a unique position in the national innovation system. In recent years, with the rapid expansion of the number of think tank talents, how to evaluate and manage think tank talents has become a key factor in the development of think tank influence and competitiveness. Based on the experience of talent team construction at home and abroad, Taking the typical science and technology innovation think tanks of Henan Province as an example, this paper analyzes the current situation and status quo of science and technology innovation think tank talents, and finds problems in the talents, Summarize the factors that affect the talent construction and development of science and technology innovation think tanks, From the perspective of six dimensions of competency model, four first-level indicators of talent quantity, talent quality, talent ability and talent contribution of science and technology innovation think tank and 16 subordinate second-level indicators are constructed for talent evaluation of think tank. Ahp is adopted to set questionnaires and collect data with Likert5-level scale, and yaahp software is used to verify the weight verification evaluation effect. Invite experts in the field to score the evaluation indicators. The research results show that the talent evaluation index of science and technology innovation think tank based on competency model pays more attention to the standardization, integration and systematization of the talent evaluation of the think tank, and the system is scientific and reasonable. It can provide reference and reference for promoting the construction, evaluation and development management of scientific and technological innovation think tanks.

Navigating the path to dual carbon goals: Understanding the driving forces of energy transition welfare performance

China's double carbon target aims to improve human well-being and sustainable development. Energy transformation welfare performance (ETWP) is the efficiency of energy transition (ET) in enhancing human well-being. ETWP considers both human well-being and sustainable development. Research on its driving force is helpful in achieving the double carbon goal. Thus, this paper used Logarithmic Mean Divisia Index Model, Fixed Panel Regression Model and Grey Relational Analysis Model to analyze China's ETWP from 2006 to 2022 and predicted ETWP of 31 provinces from 2023 to 2030. The results showed that: (1) ETWP had two rising periods in 2006–2014 and 2015–2022. (2) The government's rationalization policy on energy and environment and technological innovation ability were fundamental driving forces for improving ETWP. (3) There were obvious spatial and temporal distinctions in ETWP, and it would bring out different degrees in most areas. Thus, ET should be promoted by improving the ecological environment and resource utilization efficiency; The importance of the role of scientific and technological innovation and policies should be focused on in promoting ETWP; ET policies based on local developments should be formulated and the energy structure should be changed.

How does technological innovation affect the fiscal decentralization of local governments? Evidence from China

Technological innovation is a pivotal driver of high-quality economic development, and China's distinctive fiscal decentralization model stands out as a crucial institutional factor behind the country's economic growth miracle. Despite its significant academic and practical implications, there is a noticeable scarcity of literature on examining government fiscal decentralization through the lens of technological innovation. This paper addresses fundamental research questions regarding the relationship between technological innovation and fiscal decentralization. Leveraging balanced panel data from 30 provinces in China spanning 2005 to 2020, our findings indicate that technological innovation positively impacts the fiscal decentralization of local governments. Specifically, for each standard deviation increase in technological innovation, there is a corresponding 0.1508 standard deviation in fiscal decentralization. The mechanism driving this relationship lies in technological innovation's ability to enhance enterprise profit levels, increasing tax and non-tax revenues for local governments. Importantly, when non-tax revenue at the central government level surpasses tax revenue, the resulting augmentation in local government revenue contributes to an elevated level of fiscal decentralization. In conclusion, this paper offers valuable insights into the government's endeavors to promote scientific and technological innovation while enhancing local fiscal decentralization. These insights contribute to an improved quality of economic development.

Intelligence level evaluation and influencing factors analysis of equipment manufacturing industry in the Yangtze River Delta.

The Yangtze River Delta (YRD) bears the vital task of driving the growth of China's equipment manufacturing industry (EMI) intelligence as an advanced region. Fostering the transformation and upgrading of the EMI in the YRD and constructing a modern production mode is vital to developing and reforming China's manufacturing industry. This paper uses industrial robot data to assess the level of intelligence (LoI) in the EMI from 2016 to 2019. The OLS (ordinary least squares) model is used for the measurements, and the MQ (the modified contribution index) is used to estimate the degree of contribution from a host of variables. It is identified that the LoI is on the rise. However, excluding railways, aerospace, shipbuilding, and other transportation equipment manufacturing, the LoI is significantly higher than in other subsectors. It is also identified that technological innovation ability, human capital density, and enterprise cost pressure govern the industry's LoI. Moreover, while there is a difference in the main influencing factors in LoI within different industries, R&D investment, technological innovation ability, and enterprise cost pressure have the most significant impact across most equipment manufacturing sub-industries.

The driving effect of technological innovation on green development: From the perspective of efficiency

Green development is considered to be an effective way to achieve win-win between economy and environment, and technological innovation is the core driving force of green transformation development. High-tech industries are the core industries of industrial technology and economic development, and their technological innovation ability and green development level are important supports for optimizing the national industrial structure and promoting the green transformation of industries. Therefore, based on the concept of innovation and green development, this paper analyzes the industrial development rule from the perspective of the interaction mechanism between technological innovation and green development, to provide theoretical reference for the design of corresponding development strategies and planning. Hence, NSBM model is constructed to evaluate the efficiency of multi-stage technology innovation and deconstruct the evolution law of technology innovation value chain of high-tech industry. Secondly, GML model is used to evaluate green total factor productivity and clarify the green and high-quality development status of high-tech industry. Finally, the truncated regression model is constructed to analyze the factors affecting the external environment of green transformation development. The results indicate that the upgrading of technology innovation value chain is conducive to promoting green transformation development.

Concluded project of the Ministry of Education University-Industry Collaborative Education Program: Cultivation of the Technological Innovation Ability for Young Backbone Teachers

Artificial intelligence and other new technologies not only have a wide application prospect in civil field, but also have very important application value in national defense and military field, especially in electronic countermeasures. In order to adapt the teaching ability and scientific research and innovation ability of young backbone teachers to the development of new technology, with the help of the Ministry of Education industry-university cooperation and collaborative innovation platform, local superior companies and enterprises to adopt the school-enterprise cooperation mode of industry-education integration, carry out the training of young backbone teachers in technological innovation ability. This project can improve the team members' scientific research and innovation ability and professional teaching level, and achieve a virtuous circle of joint improvement of the level of teachers, scientific research ability and talent cultivation.

How does network structural embedding stimulate the ability of regional green technology innovation: a case study of Hubei province

ABSTRACT Green Technology Innovation (GTI) is widely acknowledged as a pivotal strategy that harmonises economic development and environmental preservation. In parallel, innovation networks have emerged as potent mechanisms empowering regional innovation. Therefore, a pivotal regarding the advancement of GTI revolves around the strategic utilisation of network embedding to foster its development. However, existing research has not provided a comprehensive analysis of the mechanism. Our study leverages both Network Embedding Theory and Game Theory to construct a game model of enterprise GTI under NSE scenarios. Then, utilising Hubei Province as a sample, we undertake empirical testing by using both a negative binomial regression model and a non-equilibrium threshold effect model. The findings suggest that NSE plays a substantial role in augmenting regional GTI, and this effect can be further magnified by the scale of regional enterprises and the level of R&D funding. Across various threshold intervals of NSE, its positive feedback effect exhibits fluctuations. However, it serves to alleviate the hindrances posed by the scale of regional enterprises to GTI and enhances the efficacy of R&D funding utilisation. The results enrich the research of NSE theory in urban GTI, and have important management significance for the formulation of GTI policies globally.

Research on the Enhancement of Technological Innovation Ability in Greater Bay Area By Computer Science and Technology Talent Resource Sharing

The Greater Bay Area Science and technology talent Pool system developed in this paper is a Web database system, its purpose is to realize the sharing of science and technology talent resources in the Greater Bay Area. Improve the efficiency and informatization of scientific and technological personnel management. Using JAVA based JSP, Java Servlet, Java Bean and JDBC technology, the separation of application presentation layer, application layer and data layer is realized. This system uses the "connection buffer pool" technology to improve the efficiency of database access.

Environmental protection investment on performance of heavy-polluting enterprises: evidence from China's A-share listed companies.

Heavy-polluting enterprises' investment in environmental protection will have a "crowding out effect" on their other inputs, affecting enterprise performance. However, if the environmental protection investment of enterprises improves their green technology innovation ability, resulting in the "innovation compensation effect," which can offset the "crowding out effect" of environmental protection inputs, it may have a positive impact on enterprise performance. This can offset the "crowding out effect" of environmental investment and may promote the performance of enterprises. At the same time, equity concentration plays the role of "tunneling effect" and "monitoring and incentive effect" in the process of environmental protection investment affecting the performance of heavy-polluting enterprises. The paper selects the data of A-share listed heavy-polluting enterprises in China from 2010 to 2019 and analyzes the impacts of environmental protection investment and green technology innovation on the performance of heavy-polluting enterprises by using a multidimensional panel fixed-effects model. The results show that environmental protection investment will improve the performance of heavy-polluting enterprises by improving their green technology innovation ability; green technology innovation plays a partly intermediary role in the process of environmental protection investment affecting the performance of enterprises, and the magnitude of this intermediary role is regulated by the concentration of corporate equity. Based on the results of the empirical study, it is recommended that heavy-polluting enterprises should accelerate the pace of green technology research and development and results transformation, optimize the proportion of equity allocation, and achieve the dual goals of fulfilling environmental responsibilities and enhancing corporate performance.

The impact of internet use on multinational enterprises’ OFDI: evidence from China

Based on the combination of China’s large outbound investment transaction data from 2005 to 2020 in the China Global Investment Tracker database and enterprises’ basic information, this study analyzes the influence of Internet use by multinational enterprises (MNEs) on their outward foreign direct investment (OFDI). The results show that the improvement in MNEs’ Internet use has significantly promoted the development of their OFDI, but the WeChat use index, which mainly serves the domestic market, has a crowding-out effect on this process. Heterogeneity analysis shows that the promoting effect of Internet use on OFDI mainly occurs in “the non-Belt and Road” and developing countries, midwestern regions, cross-border M&A and service investment. Further analysis shows that the impact of Internet use on OFDI is mainly generated through two channels: easing financing constraints and improving technological innovation ability.

Environmental regulation effect study of the environmental protection tax law during strict epidemic control: based on heavy pollution enterprises sample data test

The implementation of the Environmental Protection Tax Law was seriously affected by strict pandemic control. The Environmental Protection Tax Law imposed environmental taxes on enterprises based on measuring their pollution emissions to restrain their bad environmental behaviour and stimulate their green technological innovation ability. However, during the pandemic control period, the green technological innovation ability of enterprises was not developed. Therefore, it is necessary to optimize the environmental regulation effect of the environmental protection tax. This study is based on sample data covering heavily polluting enterprises in China collected from December 20, 2022, to January 7, 2023. It finds that the follow cost effect existed, but the value compensation effect obviously declined, which leading to a decline in the green technological innovation ability of heavily polluting enterprises. The study shows that although strict pandemic control maintained the environmental protection function of the environmental protection tax, it weakened the economic driving function, which will not only damage the long-term economic development potential but also make the environmental protection function unsustainable.Graphical

Research on the construction of evaluation system for high-level scientific and technological talents based on big data analysis

Abstract This paper analyzes the three-level inclusion relationship of high-level innovative talents and combs the structure of high-level scientific and technological talent evaluation models based on big data technology. Aiming at the evaluation problems of high-level scientific and technological talents, a fuzzy neural network model is constructed, and at the same time, the R&D middle school effect is utilized to evaluate the innovation achievements of high-level scientific and technological talents. Construct the evaluation index system of high-level scientific and technological innovative talents by utilizing 6 first-level indexes, 14 second-level indexes and 48 third-level indexes. Create a hierarchical analysis structure model, evaluate the indicator data through a judgment matrix and consistency test, and output the indicator weights. Analyze the relevance of the indicator model for different input layer neurons in fuzzy hierarchical analysis through comparative experiments. Use empirical analysis to analyze the innovative evaluation scores of high-level scientific and technological talents in Group A. The experimental results show that when the input layer contains 48 neurons, the loss value ranges from [0.132,1.765], the loss decreases the fastest, the stronger the indicator correlation, the stronger the generalization ability of the fuzzy neural network regression model. The overall scores of the evaluation of high-level scientific and technological talents of Group A for the first and second-level indicators are 3.54 and 3.869, respectively, and the overall view of Group A’s high-level scientific and technological talent innovative ability is better. Good.

大数据背景下西部地区高校科技创新效率提升研究

With the advent of the big data era, data has become an important resource to promote social progress and development. The western region has rich scientific and technological resources and educational resources, but compared with the eastern region, there is still a certain gap in its scientific and technological innovation ability and efficiency. By establishing the evaluation index system of the efficiency of science and technology innovation in universities under the background of big data, this paper analyzes the problems of improving the efficiency of science and technology innovation in western China, and puts forward the strategy of improving the efficiency of science and technology innovation in western China based on the innovation ecological mechanism. The research shows that the evaluation of scientific and technological innovation efficiency in universities in western China focuses on input and output indicators, and the establishment of an innovation ecological mechanism with internal improvement, external support, collaborative quality improvement and cooperative interconnection will promote the improvement of the efficiency of scientific and technological innovation. The research results provide theoretical basis and practical guidance for the improvement of scientific and technological innovation efficiency in universities in western China.

Relationship between the evaluation of agricultural scientific and technological innovation capacity and the influencing factors of green agriculture.

China has limited arable land area, and its output value is increased with enhanced agricultural inputs such as machinery, irrigation, fertilizers, and pesticides. However, this mode is accompanied by an increase in agricultural carbon emissions. With the aim to further examine the driving effect of scientific and technological innovation on economic growth and green agriculture, this study uses the Solow growth model coupled with the Cobb-Douglas production function and vector autoregressive models. Then, the agricultural scientific and technological innovation capacity in Guangdong Province during 2006-2020 is evaluated by using the contribution rate of agricultural scientific and technological progress (ASTP) as the assessment index. In addition, the carbon footprints of green agricultural indexes such as machinery, irrigation, fertilizers, and pesticides are measured to analyze the relationship between green agriculture and agricultural scientific and technological innovation capacity. Results demonstrate the gradual increase in the contribution rate of ASTP in Guangdong Province. During the 11th, 12th, and 13th Five-Year Plan periods, the rates were 65.09%, 65.94%, and 70.40%, respectively, indicating that the agricultural scientific and technological innovation ability constantly improved. Among the indexes of green agriculture, the carbon footprints of machinery have a significant impact on agricultural scientific and technological innovation, which is quickly transformed into machinery. Such innovation requires the driving force of science and technology itself, which have relatively significant and rapid effects. On the basis of the results, corresponding policy suggestions are proposed: increasing investments in scientific and technological innovation in the agricultural field, vigorously developing new energy-saving and emission reduction products and processes for fertilizers, and increasing the research and promotion of agricultural machinery. The proposed method provides good prospects for the development of agricultural production towards mechanization, intelligence, efficiency, and greenness.

Measurement of innovation efficiency in logistic enterprises: Evidence from China based on the three‐stage DEA‐Malmquist index model approach

AbstractContinuous improvement of technological innovation ability, adjustment of the development strategy, and enhancement of operational performance are of great theoretical and practical significance for logistics enterprises. This paper aims to analyze and evaluate the innovation efficiency of the logistics industry. The study utilizes the static three‐stage DEA model and the dynamic Malmquist index model, considering a total of 12 indicators related to innovation input, output, and environmental variables. A dataset of 2940 entries from 49 listed logistics enterprises from 2017 to 2021 was calculated. The analysis provides insights into the innovation efficiency of logistics enterprises from a static perspective and the innovation total factor productivity from a dynamic perspective and decomposition terms. Based on the analysis of environmental variables by the SFA model, it was found that DEA inefficiency is the combined result of environmental factors and management inefficiency. Environmental variables have both positive and negative effects on innovation. The improvement of the economic development level will lead to excess R&D investment. Increased government simple fund subsidies are not conducive to the efficient allocation of innovation resources within enterprises. The expansion of enterprise scale will increase R&D personnel and investment in fixed assets. A thriving technology market can encourage enterprises to improve their own conversion rate of scientific and technological output and give full play to their innovation ability. The dynamic Malmquist model analysis reveals a recution in the overall innovation efficiency of listed logistics enterprises over 5 years. The changes in total factor productivity and technological progress efficiency of all listed logistics enterprises are synchronized, with most enterprises exhibiting higher technological progress efficiency compared to comprehensive technical efficiency. The total factor productivity of logistics enterprise innovation is mainly affected by comprehensive technical efficiency.

REFORM AND INCENTIVE MECHANISM ON EQUITY STRUCTURE OF FAMILY ENTERPRISES

From the perspective of realizing “everlasting business”, how the founders of family enterprises in China can promote the reform on the ownership structure of the enterprises and establish an inclusive incentive mechanism, so as to take into account the inheritance of family wealth, to improve the technological innovation ability and the valuation (market value) of enterprises, is an economic and legal issue that is well fit for the current demand of China’s economic situation, and is also related to the long-term development of China’s economy. Its legal practice is worthy of in-depth study by Chinese legal scholars. This article reviews the transformation and development process of the ownership structure of family enterprises since China’s “Reform and Opening-up”, through interviews with the founders of family enterprises and field research in Fujian Province, a representative area of China’s family business economy. The article pays special attention to the practice under the current on-going “business succession period” between the first-generation entrepreneurs and the second-generation leaders. The article collects the relevant legal and economic issues in the internal corporate governance mechanism, and explores the relationship between properly coordinating and optimizing the ownership structure of family enterprises, incentive mechanism and maintaining the allocation of wealth resources under the tradition in Chinese family society.

EXPLORING THE FORMATION MECHANISM OF TECHNOLOGY STANDARD COMPETITIVENESS IN ARTIFICIAL INTELLIGENCE INDUSTRY: A FUZZY-SET QUALITATIVE COMPARATIVE ANALYSIS

This study aims to reveal the complex mechanism influencing technology standard competitiveness (TSC) in the artificial intelligence industry. Compared with research using traditional linear models, this research adopts the fuzzy-set qualitative comparative analysis (fsQCA) method to obtain the multiple equivalent paths for different factors that jointly produce TSC. The sample of this study involves 32 countries, and the research framework is constructed from the technological, organizational, and environmental aspects of the phenomenon. The fsQCA method was used to demonstrate the asymmetric relationship between cause and effect. The results indicate four configuration paths but no necessary conditions leading to TSC. Academic research intensity and market size play vital roles in developing TSC. Some logically complementary relationships exist between organizational participation, technological innovation ability, and international competitive pressure. These findings are helpful for policymakers in their formulation of artificial intelligence– related strategies.

Does Digital Transformation Promote Green and Low-Carbon Synergistic Development in Enterprises? A Dynamic Analysis Based on the Perspective of Chinese Listed Enterprises in the Heavy Pollution Industry

Digital transformation has become essential in promoting and upgrading enterprise elements and reshaping the market’s competitive landscape. However, whether digital transformation can further promote green and low-carbon synergistic development is still being determined. Using data from 2008 to 2014 matched between A-share listed enterprises in China’s heavily polluting industries and China’s industrial enterprise pollution emission database (robustness tests were used city panel data from 2013 to 2019 to overcome the timeliness of enterprise-level data), we measured the green total factor productivity, carbon emission efficiency, and joint emission reduction efficiency of heavily polluting listed companies. We examined the dynamic impact of corporate digital transformation on corporate pollution and carbon emission reduction. The empirical results show that (1) digital transformation inhibits the enterprise’s all-green factor productivity, carbon emission efficiency, and joint emission reduction efficiency in the short term but promotes them in the long term. Digital transformation can improve these three efficiencies by enhancing the enterprise’s green technology innovation ability and optimizing factor allocation efficiency. (2) A heterogeneity analysis found that, in the external environment, the increase in environmental regulation enhances the impact of digital transformation on these three efficiencies; in the internal environment, the improvement of the competitiveness of the enterprise’s products strengthens the promotion of digital transformation on the three efficiencies of pollution emission reduction and carbon emission reduction. (3) Further research shows that, in the long run, digital transformation can improve the synergistic effect of the pollution reduction and carbon emission reduction of enterprises. This is instructive for Chinese enterprises to achieve the synergistic development of digital transformation and green, low-carbon production.

How the Digital Economy Empowers the Structural Upgrading of Cultural Industries—An Analysis Based on the Spatial Durbin Model

The digital economy (De) is a major driving force in pushing structural improvements in the cultural industry. Theoretically, the De can empower the structural upgrading of the cultural industry by promoting technological innovation. Empirically, based on the provincial panel data of 31 regions in China from 2013 to 2020, this research utilizes the spatial Durbin model (SDM) to reveal the impact of the De on the structural upgrading of cultural industries. It also utilizes the mediation effect to test the path of the De on the structural upgrading of cultural industries through regional technological innovation. It is found that (1) the structural upgrading of the cultural industry shows significant spatial autocorrelation, and the eastern region is where the high–high cluster pattern predominates. (2) The De could successfully encourage the restructuring of the local cultural industry, and the spillover effect in space also promotes improving the organization of the cultural industry in neighboring regions. (3) A mechanism analysis shows that the De realizes the upgrading of cultural industry structure by enhancing regional technological innovation ability. Based on this, relevant policy recommendations are made to promote the upgrading of cultural industry structure in three dimensions: improving the level of the De, strengthening the ability of inter-regional cooperation, and promoting technological innovation. The study provides an important reference for the upgrading of China’s cultural industry structure from the De’s perspective.