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.

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.

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 DEREGULATION CONTROL BY MERGERS AND ACQUISITIONS: A GAME THEORETIC ANALYSIS OF THE CHINESE AIRLINE INDUSTRY

2018 ◽  
Vol 24 (6) ◽  
pp. 2277-2294 ◽  
Author(s):  
Joshua Ignatius ◽  
Tian Siang Tan ◽  
Lalitha Dhamotharan ◽  
Mark Goh
Keyword(s):  
Mergers And Acquisitions ◽  
Airline Industry ◽  
Government Intervention ◽  
Sustainable Growth ◽  
Civil Aviation ◽  
Aviation Industry ◽  
Cournot Oligopoly ◽  
Game Theoretic Analysis ◽  
Game Theoretic ◽  
The Government

The major challenges of deregulation are lax market entry, sudden surge in new market entrants, and the intense price wars that ensue, thus causing major losses for any industry. This paper investigates whether deregulation can be structured through a controlled Mergers and Acquisitions (M&As) process by means of government intervention, and how this promotes the performance of the players in the industry. We study this in the context of the Chinese aviation industry as an ideal microcosm of our problem statement. This is because China’s civil aviation industry has witnessed many of the above challenges since its deregulation and economic reforms in 1979, which saw the beginning of a transformation from a fully state-owned machinery to a rent-seeking private sector. The post controlled deregulation process through M&As led to three dominant carriers: Air China Limited (AC), China Southern Airlines (CS), and China Eastern Airlines (CE). Using a 3-player non-cooperative perfect information Cournot oligopoly game model, the strategic efficacy of the government intervention to consolidate the industry based on operating expenses, air passenger revenue, and profit data are investigated respectively. All three airlines are better off after the exercise, with the industry facing a more sustainable growth by the intervention.

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.

Organizational unlearning and knowledge transfer in cross-border M&A: the roles of routine and knowledge compatibility

2017 ◽  
Vol 21 (6) ◽  
pp. 1580-1595 ◽  
Author(s):  
Xiangyang Wang ◽  
Yujuan Xi ◽  
Jingsi Xie ◽  
Yingxin Zhao
Keyword(s):  
Theoretical Model ◽  
Knowledge Transfer ◽  
Mergers And Acquisitions ◽  
Design Methodology ◽  
Direct Influence ◽  
Content Type ◽  
Cross Border ◽  
Congruence Theory ◽  
Medium Level ◽  
Practical Implications

Purpose The purpose of this study is to adopt the perspective of congruence to explore how organizational unlearning facilitates knowledge transfer in cross-border mergers and acquisitions (M&A). Design/methodology/approach Drawing on the congruence theory, this study built a theoretical model and examined it with survey data from 212 firms in China. Findings Organizational unlearning has no direct influence on knowledge transfer. In contrast, it promotes knowledge and routine compatibility that facilitate knowledge transfer. Routine and knowledge compatibility have different mechanisms on knowledge transfer. Specifically, the higher routine compatibility, the more effective is knowledge transfer. When knowledge compatibility is at a medium level, the effectiveness of knowledge transfer is optimal. Practical implications Firms should regard organizational unlearning as a crucial facilitator to knowledge and routine compatibility that promote knowledge transfer. Originality/value This study provides a specific understanding of the relationships between organizational unlearning and knowledge transfer by focusing on knowledge and routine compatibility as the crucial links, and enriches existing literature regarding knowledge transfer.

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