scholarly journals Resource Misallocation Threshold for High-Tech Industrial Specialization on Technological Innovation Performance for Pharmaceutical Manufacturing

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lei Liang ◽  
Zhiyong Fan
Keyword(s):  
Technological Innovation ◽  
Threshold Model ◽  
Threshold Effect ◽  
Innovation Performance ◽  
Pharmaceutical Manufacturing ◽  
High Tech ◽  
High Tech Industry ◽  
Resource Misallocation ◽  
Industrial Specialization ◽  
Double Threshold

This paper examines the threshold effect of resource misallocation between specialization and technological innovation performance in the high-tech industry in China. Contrary to the existing literature, this paper applies the static panel threshold model to evaluate the threshold effect of industrial specialization on the innovation performance, including the single threshold effect and double threshold effect. The empirical results shed new light on the topic and signified that high-tech industry specialization has a nonlinear effect on innovation performance and the resource misallocation threshold. This paper unveils a novel, double threshold effect of resource misallocation between industrial specialization and innovation performance. Moreover, the twenty-eight regions in China are divided into three types according to a resource misallocation, which unfold the current situation of the resource misallocation in pharmaceutical manufacturing—providing directional guidance for structural reforms of the supply side of pharmaceutical manufacturing in various regions.

Threshold Effect of Knowledge Accumulation between Innovation Path and Innovation Performance: New Evidence from China’s High-tech Industry

2018 ◽  
Vol 23 (1) ◽  
pp. 163-184 ◽  
Author(s):  
Heng Chen ◽  
Jian Hou ◽  
Wei Chen
Keyword(s):  
Innovation Management ◽  
Threshold Model ◽  
Innovation System ◽  
Threshold Effect ◽  
Innovation Performance ◽  
High Tech ◽  
Dynamic Threshold ◽  
High Tech Industry ◽  
Knowledge Accumulation ◽  
The Relationship

In the process of transitioning from closed to open innovation, regions in developing countries need to understand how to choose the most effective path within the complex innovation system while considering their own innovation factors. Based on provincial panel data from China’s high-tech industry and the improved dynamic threshold model, we introduce the threshold of knowledge accumulation (KLA) into the non-linear mechanism between innovation paths and innovation performance to compare the dynamic threshold effect and its heterogeneity. This research provides interesting insights into innovation paths, showing that the relationship between the innovation path and innovation performance is significantly influenced by the threshold effect of KLA. As the level of KLA strengthens, its effects on each innovation path change. Overall, this article shows how KLA affects the relationship between the innovation path and innovation performance. The article concludes with a discussion of the implications of these insights for innovation management and policy.

scholarly journals Are Non-R&D Innovation Activities Actually Effective for Innovation Sustainability? Empirical Study from Chinese High-Tech Industry

2018 ◽  
Vol 11 (1) ◽  
pp. 174 ◽  
Author(s):  
Jian Hou ◽  
Jiancheng Chen ◽  
Hongfeng Song ◽  
Gang Wang
Keyword(s):  
Negative Impact ◽  
Critical Mass ◽  
Threshold Level ◽  
Threshold Effect ◽  
Developed Countries ◽  
Innovation Performance ◽  
High Tech ◽  
Regional Innovation ◽  
High Tech Industry ◽  
Innovation Activities

Compared with developed countries, the paper explores whether non-R&D innovation activities in China actually are effective and provides a guidance on how we can choose a sustainable innovation mode for non-R&D, especially considering the “threshold effect” of the heterogeneity of different regional innovation levels. The dynamic threshold panel models of the non-R&D (NRD) effect on the basis of the threshold of regional innovation level is constructed to verify the complex “threshold effect” characteristics between non-R&D and innovation performance. The empirical results are discussed according to the panel data for 30 provinces in China concerning the high-tech industry. Results argue that the mechanism of non-R&D innovation activities on innovation performance have a significantly different “threshold effect.” Interestingly, when the threshold of regional innovation keeps a low level, the negative effect of non-R&D innovation activities is much larger. When the threshold level of regional innovation increases, reaching the critical mass, the negative impact of non-R&D innovation activities on innovation performance becomes smaller. However, once the regional innovation level crosses the critical mass, the negative impact of non-R&D shows a significantly increasing tendency. Specifically, neither much higher nor much lower regional innovation level is conducive to the promoting effect of non-R&D activities. The negative impact of non-R&D on performance will decrease to the minimum only in the regions within the moderate threshold level (critical mass). The dynamic nonlinear mechanism between non-R&D activities and innovation performance is empirically studied to assist high-tech enterprises for innovation sustainability based on heterogeneity of different regional innovation levels.

scholarly journals Relationships among Government Funding, R&D Model and Innovation Performance: A Study on the Chinese Textile Industry

2020 ◽  
Vol 12 (2) ◽  
pp. 644
Author(s):  
Zhiying Zhang ◽  
Hua Cheng ◽  
Yabin Yu
Keyword(s):  
Textile Industry ◽  
Industrial Development ◽  
Innovation Policy ◽  
Threshold Effect ◽  
Government Funding ◽  
Innovation Performance ◽  
High Tech ◽  
Promoting Effect ◽  
Pillar Industry ◽  
The Relationship

The textile industry is a traditional pillar industry of the national economy in China. The strategic goal of Chinese innovation is to upgrade and transform traditional industries and make them develop in coordination with high-tech industries, so as to realize sustainable industrial development. At the core of industrial sustainable development, the innovation of the textile industry in China has become an important issue worthy of attention. Based on resource-based theory and signal transfer theory, the relationship between government funding, R&D models and the innovation performance of the Chinese textile industry is studied. The results show that government funding has a significant, direct promoting effect on the internal R&D and science-based cooperation of enterprises. Government funding indirectly promotes market-based cooperation through internal R&D. The promoting effect of internal R&D on innovation performance is greater than that of cooperative R&D. Internal R&D and cooperative R&D have more promoting effects on R&D reserve performance than those on market performance. Government funding indirectly promotes innovation performance through the mediation of internal R&D and science-based cooperation. The threshold effect of cooperative R&D indicates that only when the cooperative R&D intensity exceeds the threshold can government funding foster innovation performance more effectively. The conclusions can provide theoretical guidance for the formulation of innovation policy.

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