High-end Talents Research Articles

Research on the Effect of Low-Carbon Education on Residents by the Chinese Government

The low carbon living of residents is important for China to achieve the “double carbon goal.” This paper uses the natural language processing technique in machine learning to collect data from 2005 to 2020, constructs the government’s “green will” index and residents’ low-carbon life index, and conducts an empirical study through a static panel model and a dynamic panel model. The study shows that: (a) all cities in the Yangtze River Delta pay more and more attention to low-carbon publicity, but there are individual differences in the degree of attention; (b) in general, the government’s willingness to go green does drive residents to develop a low-carbon life; (c) affluence and human capital growth are positively related to the effect of government low-carbon publicity. Accordingly, the following measures are proposed: increase the government’s low-carbon publicity efforts, deepen education reform, attract high-end talents, strengthen scientific and technological innovation, promote new urbanization, and reduce the marginal cost of carbon emissions.

Research on the Development Mechanism and Path of Wenzhou Digital Industrial Cluster Under the Background of Digital Economy

With the advent of the digital age and the development of artificial intelligence, digital economy has become the main economic form of today's society. In this context, the conditions for the development of digital industrial clusters have been formed, and industrial clusters have become an important support for the high-quality development of national and regional economies and an important factor affecting the international competitiveness of industries. The digital industrial cluster in Wenzhou area is also developing rapidly in recent years. Based on the analysis of the digital industrial cluster in Wenzhou area, this paper puts forward five key mechanisms for the development of the digital industrial cluster in Wenzhou, namely, the market mechanism and enterprise autonomy, the innovation-driven mechanism. Policy guidance and support, network and synergistic effect and talent attraction and training. The specific strategies to promote the development of Wenzhou digital industry cluster include strengthening infrastructure construction, optimizing innovation ecology, introducing and cultivating high-end talents, etc., hoping to provide reference for relevant workers.

Research on Policy Mechanisms for Zhengzhou City to Further Attract High-end Talents at Home and Abroad

Research on Policy Mechanisms for Zhengzhou City to Further Attract High-end Talents at Home and Abroad

A Study on the System of Residence Preferences for Foreign Investors in France

As a member of the European Union (EU), France's legal system for foreign investment includes the provisions of EU law and relevant domestic legislation. EU law is the prerequisite and framework for domestic legislation to promote foreign investment. Without violating the relevant treaties signed by the EU and EU law, France can formulate its own investment management policy according to its own national conditions. In recent years, in order to promote foreign investment, France has been seeking for innovation and change, and has carried out a series of reforms on the legal system for foreign investment on the basis of compliance with the investment-related laws and regulations at the EU level. The reform of France's legal system for promoting foreign investment mainly focuses on the issuance of visas for high-end talents and foreign students to attract foreign investors, as well as multi-type and multi-level tax incentives to attract foreign-invested enterprises. However, the effectiveness of the reform of France's legal system for promoting foreign investment has been affected to some extent by the complicated tax collection and management system and the tilted protection of employees in the labor law. Through a series of studies, this paper attempts to sort out the overall thinking and specific initiatives of France's reform of its legal system for promoting foreign investment, and objectively assess its impact and effectiveness, with a view to summarizing the lessons that can be drawn from China's efforts to improve its legal system for promoting foreign investment..

Population agglomeration in Chinese cities: is it benefit or damage for the quality of economic development?

This paper explores the impact of population agglomeration on urban economic development quality in various cities of China. The results show that population agglomeration significantly contributes to the improvement of urban green total factor productivity by increasing population diversification, promoting knowledge spillovers, and reducing pollution emission intensity. Moreover, we find that population agglomeration in type II big cities and type I large cities significantly improves green total factor productivity, while the impact of population agglomeration in metropolises and mega-cities on green total factor productivity is not significant. On the one hand, type II big cities and type I large cities are in the period of rising economic development, the population has not yet reached saturation, and there is still a large demographic dividend space. On the other hand, excessive population agglomeration also brings about "urban diseases" such as population congestion and traffic congestion, especially in the metropolises and mega-cities. Finally, using data on producer services and its sub-sectors, we identify a more significant driving effect of high-end talent agglomeration on green total factor productivity.

The Application of Interdisciplinary In Airborne Electromechanical System and Its Enlightenment to the Cultivation of Graduate Students’ Innovative Ability

With the progress of science and technology, intelligent monitoring and diagnosis system has developed rapidly. Intelligent diagnosis technology, as an engineering application of artificial intelligence, has developed rapidly both at home and abroad in recent years. Research shows that intelligent diagnosis technology is a comprehensive industry integrating multiple technologies and interdisciplinary disciplines, and it is also a partial epitome of contemporary scientific and technological progress. Combined with the development of intelligent diagnosis technology of airborne electromechanical system and the important task of colleges and universities as the undertaker of high-end talent training, this paper puts forward that the current talent training mode needs to be adjusted according to the needs of science and technology, and teaching practice reform should be carried out from professional fields, discipline categories, practical training platforms and other aspects, so as to provide reserve talents for China's scientific and technological progress.

Research on Talent Sharing Empowering Changzhou to Build an Internationally Renowned Intelligent Manufacturing City and Breaking the Bottleneck of High-End Talents

Research on Talent Sharing Empowering Changzhou to Build an Internationally Renowned Intelligent Manufacturing City and Breaking the Bottleneck of High-End Talents

Research on the Reading Promotion Model of Universities Based on Smart Libraries

With the development of digital technology, smart libraries have become a new model of digital reading services and have received widespread attention. This article analyzes the role of smart libraries in promoting reading in universities, and explores the management mechanism of smart libraries and measures to address issues such as security, data protection, and privacy protection. Regarding security issues, it is recommended to strengthen network security awareness training and adopt multi-level security measures; For data protection and privacy protection, it is recommended to strengthen data classification and permission control, establish secure backup and recovery mechanisms, and take measures such as encrypted transmission and storage. In addition, this article also proposes methods for establishing talent cultivation and management mechanisms, including conducting specialized training programs, actively introducing high-end talents, establishing compensation incentives, career promotion, and role model recognition mechanisms, as well as strengthening team management measures.

Exploring the Problems of Applying Intelligent Media in Chinese Journalism Based on the Perspective of Artificial Intelligence

With the rapid development of science and technology, artificial intelligence has gradually entered the field of people’s lives, and human society has entered the era of intelligence. Among them, the application of artificial intelligence in the field of news communication is also becoming more and more extensive. Intelligent media technology can help news media acquire information, analyze data, generate content, and improve the efficiency and quality of news dissemination more quickly and accurately. Traditional news gathering requires manual browsing of a large number of information sources to filter out valuable information. Artificial intelligence technology can quickly extract useful content from a large amount of information through natural language processing, machine learning, and other technologies, providing more comprehensive and accurate information to the news media. At the same time, the emergence of artificial intelligence also brings some disadvantages to the news industry, for example, machine news writing is limited by technical rules, which affects the existence of its limitations. This paper will therefore discuss three aspects of the changes brought about by AI in the media industry - the structure of communication, communication technology, and communication philosophy - as well as the ethical and legal issues involved in AI in the media industry. Firstly, the researcher aims to understand the problems in the application of AI in the field of journalism and communication. Secondly, the research theory used in this article is the diffusion of innovation theory. Developed by Rogers in the 1960s, this theory states that some people will be more open-minded and more willing to accept innovations than others when it comes to innovation. Again, the research method used in this article is a qualitative research method of web-based text analysis. Ultimately, the researcher identified three problems: the content of the research was superficial, the emergence of smart media broke the traditional media compliance under ethical laws, and the inadequate mechanism for nurturing talent. Based on these problems, the researcher proposed solutions, which were to conduct an in-depth analysis of the application of artificial intelligence in the communication industry, to develop laws and regulations that comply with the application of intelligent media in the communication field, and to train high-end talents who can use artificial intelligence.

Research on the Current Situation and Countermeasures of Digital Economy

With the birth and rise of the digital economy, it has promoted the development of new forms of digital economy. A new round of data technology revolution has become the trend of the times, especially under the impact of the epidemic, the digital economy has become the engine of economic development. However, some problems have emerged in the development of new business types. The “digital divide” problem is still serious, the digital transformation path of enterprises is not clear, the legal system and regulatory capacity are not in place, high-end talents in the digital economy are scarce, and the innovation ability of the digital economy is weak. In this regard, actively explore the road of digital economy development, and put forward corresponding countermeasures and suggestions, to provide reference for accelerating the improvement of high-quality and sustainable development of new forms of digital economy, and promote new changes and breakthroughs in new forms of economy.

중국 하북성 지역 고급회계인재의 직무만족도와 이직의도 간의 관련성 연구: 조직임무의 매개효과를 포함하여

[Purpose] Facing the increasingly fierce competition for high-end talents in the external environment and the diversified demand for talents in the internal environment, how to establish an effective talent incentive mechanism, attract and retain talented people, strengthen the organization stability enhancement, maintain the organization's abilities to innovate and enthusiasm for innovation, is an important issue local governments and employers should continue to focus on.
 [Methodology] This paper takes high-end accounting talents in Hebei Province China as the research object and uses multiple linear regression analysis to empirically examine the impact of job satisfaction on turnover intention, and further examine the mediation role of organizational commitment on the relationship between the above two factors.
 [Findings] The results show that job satisfaction is positively related to organizational commitment and negatively related to turnover intentio; organizational commitment is negatively related to turnover intention, and organizational commitment has a mediating effect on the relationship between job satisfaction and turnover intention.
 [Implications] This study broadens the research perspective of the turnover behavior of high-end accounting talents, and also provide an insight on how to formulate and implement senior accounting talents introduction, incentive and retention measures for the organizations where high-end accounting talents work.

Water Conservancy Automation Monitoring System Based on VR Image Video and Internet of Things

With the rapid development of science and technology and the widespread application of automatic control and wireless transmission technology, water conservancy automation monitoring system plays an important role in agricultural water conservancy and the automatic water conservancy monitoring system can conduct automatic water conservancy irrigation and monitor the growth of crop, greatly improving the efficiency of water resources management. However, there is still a certain gap between China and developed countries, mainly reflected in the two aspects of imperfect information resources and low level of data analysis and application, there are still technical deficiencies, and the training of high-end talents is relatively scarce, so there is still a big gap. The purpose of this article is to study the water conservancy automation monitoring system based on VR image video and the Internet of Things. This article first analyzes virtual reality technology and introduces Unity3D, the development engine of virtual reality, then introduces the Internet of Things and its key technologies, studies the classification of existing water conservancy automation systems, and then details the use of C/S Structured water conservancy automatic monitoring system. On this basis, this article combines VR and IoT technologies in the experimental part to design and implement a water conservancy automation monitoring system. Experimental results prove that the system designed in this article has certain theoretical and practical value for the development of water conservancy informatization. In this article, by creating 1000 concurrent users, the performance of the designed system is tested, and the response time of this system is 3.4 seconds.

China’s Language Services Industry: Status Quo and Suggestions for Sustainable Development

The language services industry merits investigation, given its increasingly significant role and rapid development in China and even around the world. This paper gives a brief look at the global picture and a close look at the status quo in China. While in the global market, language services tend to be diversified and technology will be the common denominator to success, in China, despite the rapid growth in recent years, the market leaves much to be desired when it comes to technology, language diversity, high-end talent development, and overall competitiveness. To tackle these problems, this paper proposes some measures for China’s language services providers to catch up with their international counterparts and for China’s language services industry to achieve sustainable development.

The impact of artificial intelligence industry agglomeration on economic complexity

Artificial intelligence (AI) is a fundamental driver of technological and economic growth. However, few studies have focused on the impact of AI industry agglomeration on economic complexity. This study uses a unique dataset of 2,503,795 AI enterprises in China collected through web crawlers to measure AI industrial agglomeration and examine the relationship between AI industry agglomeration and economic complexity in 194 Chinese cities based on Marshall industry agglomeration theory. The study’s results show that AI industry clustering increases economic complexity. The mechanism analysis indicates that people and knowledge are the channels through which it boosts economic complexity. Unexpectedly, AI industry agglomeration does not improve the economic complexity index (ECI) through the goods path. This study proposes three possible explanations for this result. First, AI industrial clustering may lead to excessive rivalry in China’s intermediate product market. Hence, sharing intermediate inputs has no increasing returns effect. Second, the city's high-end talent is not fairly distributed due to China's uneven development. Finally, policies drive the formation of China’s AI industrial agglomeration, which does not develop naturally. Consequently, China should implement a talent- and knowledge-driven AI agglomeration. To avoid overcrowding, policies must match regional development.

To Adapt or to Lead: The Relationship between Higher Education and Society Revisited

Higher education should not only adapt to the development of society, but also lead to the development of society. This paper argues that higher education leading the development of society is conducive to promoting the realization of the dream of a strong higher education country, the construction of the integration of industry-university-research, the return of high-end talents and the construction of universalized higher education with Chinese characteristics.

Development of Innovative Entrepreneurial Talent Training Model in Regional Economy Based on Big Data Analysis

<p style="text-align: justify;"><span style="font-size:16px;font-family: 'Times New Roman','serif'">With the rapid development and replacement of various high and new technologies, it has become a consensus to use big data (BD) technology in the exploration of talent training mode. Analyzing the characteristics of regional economy, establishing the talent training direction with innovative thinking, upgrading the education mode, and forming a multi-mode combination of BD processing practice teaching mode. Mastering Internet means and information technology has become an essential skill of current talent cultivation. As high-end talents, innovation and entrepreneurship (IAE) ability is an important skill that can greatly improve productivity. This paper explores the necessity of BD analysis of IAE Talent Training Mode in regional economy, and studies the specific training strategy in detail. This paper uses BD to collect the relevant data of the impact of IAE talents on regional economy, and uses the commonly used data visualization software Excel to generate charts, so as to explore the development of IAE talents training mode in regional economy. And in-depth explore the development countermeasures of innovative talents training mode in the regional economy.</span>

Family Background, Academic Performance, and Access to Opportunities for Graduate Education

As the number of graduates from institutions of higher education has soared year after year, alongside growth in the demand for high-end talent posed by economic development, a growing number of graduates from undergraduate programs are choosing to continue on to receive graduate education, so as to improve their competitive advantage in the labor market. This paper conducted empirical analysis on data from the Beijing College Students Panel Survey. Studies have found that, among undergraduate students who graduated from institutions of higher education in Beijing in 2010 and 2012, approximately one third chose to continue on to receive graduate education, and both the family background and academic performance of those students who pursued graduate education were significantly better than the students who sought employment directly after graduation. Further analysis indicated that, with respect to access to domestic opportunities for graduate education, the variable of family background essentially exercises an effect by influencing the type of institution at which students pursued undergraduate education, as well as their academic performance. In comparing the two options of studying abroad and pursuing in-country graduate education, the type of institution at which students pursued undergraduate education and their academic performance had no significant impact in this respect, and it was chiefly the family’s socioeconomic status that had an effect. The findings in this study have important policy implications for graduate student admissions and training in China at present.

Can housing price regulation improve R&D performance in universities? Evidence from China

The house property tax pilot policy (HPTPP) introduced in 2011 has resulted in the redistribution of R&D resources. However, few studies have focused on the impacts of this policy. In this paper, we use the heterogeneous stochastic frontier analysis method to measure the R&D total factor productivity (TFP) growth rate of Chinese universities. Then, the difference-in-differences (DID) method is employed to examine the impact of the HPTPP on R&D performance. Furthermore, a series of robustness tests are conducted on the estimated results, including: a parallel trend test, by advancing the introduced time of policy; a reduction of the self-selection bias, by adopting the propensity score matching (PSM); and an interference elimination of the house-purchasing restriction policy. Finally, based on the extensive margin and the intensive margin, we investigate the mechanisms of the HPTPP on R&D performance. The results show that the R&D TFP of Chinese universities displays a downward trend. After reducing self-selection bias, the HPTPP exerts no significant effect on R&D TFP growth rate of Shanghai's universities, but the HPTPP does reduce the R&D TFP growth rate of universities located in Chongqing. This conclusion remains robust after changing the matching ratio of the PSM strategy and eliminating the interference of the house-purchasing restriction policy. For Shanghai's universities, the effects of the HPTPP on extensive margin (i.e., factor input scale) and intensive margin (quantity of efficient factors) are not clear, resulting in an uncertain impact on R&D TFP growth rate. However, for Chongqing, the negative effect on the scale of factor input leads to a decline in R&D TFP growth rate of universities. Therefore, when restraining housing prices, the government should prevent the negative effect on R&D investment and attract high-end talent through preferential conditions.

Research on Education and Teaching Innovation of Accounting Professional Master's Degree under the Background of Internet+

The social and economic changes in the new era have brought new opportunities for the development of enterprises. The original extensive enterprises have been eliminated or transformed under vigorous rectification. The gap in the market has allowed new green enterprises to develop rapidly. , the integration of its high technology and the market has also led to qualitative changes in corporate finance and capital turnover, and new economic issues have put forward higher quality requirements for the accounting industry. The demand for accounting talents in the social market is increasing, and professional masters are high-end talents that major enterprises and institutions are competing to hire. However, the domestic accounting masters training still has the phenomenon of uneven quality and backward market. This thesis starts from the Internet + , the application of high-tech Internet technology and the combination of accounting master training programs in colleges and universities, to explore a new path for master's education and teaching in accounting.

Software Architecture Design of Animation Studies Platform Using Structure-Behavior Coalescence Method

Animation education in the new media era is moving toward the goal of cultivating high-end talents. The development of an architecture-oriented animation studies platform provides guarantee for the training of talents in terms of teaching quality. This research uses the Internet as the medium and mobile phones and computer clients as the main technology platforms, starting from the software architecture and constructing the system model of the animation studies platform according to the Structure-Behavior Coalescence (SBC) method. The core theme of Model-Based Systems Engineering (MBSE) is a modeling language with model consistency of systems structure and systems behavior. This paper developed Structure-Behavior Coalescence State Machine (SBC-SM) as the formal language for the MBSE animation studies platform design model singularity. The model consistency will be fully guaranteed in the MBSE animation studies platform design when the SBC state machine approach is adopted. It not only improves the efficiency of platform development but also reduces the difficulty and risk of platform development.