scholarly journals An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zheng-Xin Wang ◽  
Ling-Ling Pei
Keyword(s):  
Dynamic Model ◽  
Optimal Algorithm ◽  
Good Alternative ◽  
Parameters Optimization ◽  
High Tech ◽  
Grey System ◽  
Unknown Parameters ◽  
High Tech Industry ◽  
Economic Output ◽  
The Government

The grey dynamic model by convolution integral with the first-order derivative of the 1-AGO data andnseries related, abbreviated as GDMC(1,n), performs well in modelling and forecasting of a grey system. To improve the modelling accuracy of GDMC(1,n),ninterpolation coefficients (taken as unknown parameters) are introduced into the background values of thenvariables. The parameters optimization is formulated as a combinatorial optimization problem and is solved collectively using the particle swarm optimization algorithm. The optimized result has been verified by a case study of the economic output of high-tech industry in China. Comparisons of the obtained modelling results from the optimized GDMC(1,n)model with the traditional one demonstrate that the optimal algorithm is a good alternative for parameters optimization of the GDMC(1,n)model. The modelling results can assist the government in developing future policies regarding high-tech industry management.

scholarly journals High technology export and high technology export impact on growth

2019 ◽  
Vol 1 (3) ◽  
pp. 32-38
Author(s):  
Yurdagül Meral
Keyword(s):  
Research And Development ◽  
Service Sector ◽  
High Technology ◽  
High Tech ◽  
High Tech Industry ◽  
Technology And Innovation ◽  
Science Technology ◽  
Development Expenditure ◽  
The Government ◽  
Science Technology And Innovation

The term high-tech, covering the high-tech industry and the information-intensive service sector, is based on advanced scientific and technological expertise that requires science, technology, and innovation (STI), and is based on Research & Development expenditure. Sectoral, product and patent approaches are used for classification by OECD and European Union. Literature review on high-tech show that countries focusing on Research and Development Expenditures and new patents have succeeded in increasing their high-tech exports as well. Turkey is one of the countries where the levels of high-tech export is not at the desired levels yet therefore the government must give incentives for Research and Development expenditures and new patents for innovation, as high-tech export affects GDP growth positively.

Research on Influencing Factors for Facilitating Innovation Capability: Evidence from Chinese High-Tech Industries

2011 ◽  
Vol 467-469 ◽  
pp. 2030-2035
Author(s):  
Wu Wei Li
Keyword(s):  
Influencing Factors ◽  
Science And Technology ◽  
Grey System Theory ◽  
High Tech ◽  
Innovation Capability ◽  
Input Output ◽  
Grey System ◽  
Industrial Innovation ◽  
The Government ◽  
Significant Factors

For the studies on the innovation capability, there are many limitations in using traditional statistical techniques. The grey system theory proposed in this paper is to supplement the limitations of using traditional techniques and it is more suitable to figure out the significance of influencing factors for facilitating innovation capability. Based on the statistical data from Chinese high-tech industries, over the period 2006-2008, this paper used fifteen indicators affecting the innovation capability, and it applied grey relational analysis to find out the significant factors. The results show that expenditure and persons engaged in science and technology activities are the significant factors affecting innovation capability within Chinese high-tech industries, and the efficiency for input-output of resources is less significant factor, which implies that the efficiency for input-output within Chinese high-tech industries is lower, and its effect to facilitate Chinese high-tech industrial innovation capability is insignificant. In order to facilitate Chinese high-tech industrial innovation capability, the government and enterprises should pay enough attentions to not only the expenditure and personnel engaged in science and technology activities, but also enhancing the efficiency for input-output of technology resources.

scholarly journals Internal Relationship and Impact Path Between Innovation and Entrepreneurship: Based on China's High-tech Industry

2020 ◽  
pp. 15-32
Author(s):  
Kai Zhao ◽  
Lixiang Wang
Keyword(s):  
Technological Innovation ◽  
Malmquist Index ◽  
High Tech ◽  
Policy Recommendations ◽  
High Tech Industry ◽  
Index Decomposition ◽  
The Government ◽  
Reform And Opening Up ◽  
Internal Relationship ◽  
Innovation And Entrepreneurship

Innovation is the source of entrepreneurship, entrepreneurship is the value embodiment of innovation, and the two are inseparable. At a time when dividends such as population, reform and opening up, and resources and environment are gradually disappearing, China urgently needs to accelerate scientific and technological innovation to support economic development, incubate scientific and technological enterprises, and ease labor market pressure with technological progress and efficiency improvement. This paper focuses on China’s high-tech industry, which is dominated by scientific and technological innovation. Starting from the overall, local, and regional perspectives, it organically integrates the traditional DEA, similar SFA, Malmquist index decomposition, chain multiple intermediary effect, and other multilevel research through cross-level analysis. Based on the research foundation of innovation efficiency after eliminating environmental and random factors, it deeply discusses the action path and impact mechanism of “double innovation” and provides targeted policy recommendations for the government and relevant local departments. The research confirms that the total effect of innovation on entrepreneurship is always positive, i.e., promoting “people-to-people innovation” is conducive to promoting “mass entrepreneurship” whether it is analyzed from the whole or from the part.

scholarly journals Reverse Knowledge Transfer in Cross-Border Mergers and Acquisitions in the Chinese High-Tech Industry under Government Intervention

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Yi Su ◽  
Wen Guo ◽  
Zaoli Yang
Keyword(s):  
Knowledge Transfer ◽  
Mergers And Acquisitions ◽  
Government Intervention ◽  
Evolutionary Game ◽  
Parent Company ◽  
High Tech ◽  
High Tech Industry ◽  
Cross Border ◽  
Reverse Knowledge Transfer ◽  
The Government

The high-tech industry is the main force promoting the development of China’s national economy. As its industrial economic strength grows, China’s high-tech industry is increasingly using cross-border mergers and acquisitions (CBM&A) as an important way to “go out.” To explore the rules governing the process and operation mechanism of reverse knowledge transfer (RKT) through the CBM&A of China’s high-tech industry under government intervention, a tripartite evolutionary game model of the government, the parent company, and the subsidiary as the main subjects is constructed in this paper. The strategies adopted by the three subjects in the RKT game process are analysed, and the factors influencing RKT through CBM&A under government intervention are simulated and analysed using Python 3.7 software. The results show that, under government intervention, the parent company and subsidiary have different degrees of influence on each other. Subsidiaries are highly sensitive to the compensation rate of RKT. Positive intervention by the government tends to foster stable cooperation between the parent company and the subsidiary. However, over time, the government gradually relaxes its intervention in the RKT and innovation of multinational companies.

The dynamic model for high-tech production management

2019 ◽  
Vol 15 (5) ◽  
pp. 798-816
Author(s):  
A.V. Leonov ◽  
◽  
A.Yu. Pronin ◽  
Keyword(s):  
Dynamic Model ◽  
Production Management ◽  
High Tech

World experience in using the program-targeted planning methods for high-tech industry development

2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin
Keyword(s):  
Russian Federation ◽  
Technological Development ◽  
High Tech ◽  
Economic Activities ◽  
High Tech Industry ◽  
Industry Development ◽  
Foreign Countries ◽  
Planning Methods ◽  
The Russian Federation ◽  
Development Objectives

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

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