Research Report on Innovation Capability of Zhongguancun NEEQ Listed Companies in 2018

Author(s):  
2019 ◽  
Vol 11 (10) ◽  
pp. 2859 ◽  
Author(s):  
Bing Zhou ◽  
Yumeng Li ◽  
Shengzhong Huang ◽  
Sidai Guo ◽  
Bing Xue

Innovation capability of enterprises will greatly influence the current and future development of companies. This paper investigates the relationship between customer concentration and innovation capability of enterprises through the view of both the financing constraints and the expectation of managers. Based on the data of China’s A-share listed companies over the period from 2012 to 2016, several methods including system GMM, threshold model of fixed effects, and PSM are applied for empirical analysis. The results show that the innovation capability of listed companies in China are negatively correlated with the customer concentration. Higher customer concentration brings about stronger constraints from large customers on enterprises and greater dependence of enterprises on large customers, which result in weaker demand for innovation and lower investment in innovation. Meanwhile, the results demonstrate the double-threshold effect of financing constraints. The effect of customer concentration on innovation can be different in companies with low, medium, or high-financing constraints. Furthermore, optimistic expectations are more conducive to the reduction of customer concentration and the improvement of innovation. In addition, based on the perspective of the manager’s expectation, the research demonstrates the heterogeneous impact of manager’s expectation on the relationship between customer concentration and innovation capability.


2019 ◽  
Vol 11 (13) ◽  
pp. 3529 ◽  
Author(s):  
Peng Xu ◽  
Guiyu Bai

Within fierce market competition, economic integration acceleration, information technology development, customer demands that are more complex than ever before and product life cycle acceleration have greatly increased the complexity and uncertainty of the operating environment of Chinese private listed companies. Considering the special situation and the current situation of the enterprise development phase in China, the shaping and upgrading of sustainable innovation capability for Chinese private listed companies has become an important issue of common concern in academia and practice. Using 4833 sets of data from private listed companies in China in four consecutive years, we studied the relationship between board governance, sustainable innovation capability and firm expansion empirically based on stewardship theory and principal-agent theory. The results show that centralized leadership structure formed by chief executive officer (CEO) duality has a positive effect on the sustainable innovation capability of Chinese listed companies; director compensation incentive has a positive impact on the sustainable innovation capability of Chinese listed companies; sustainable innovation capability has a positive effect on the firm expansion of Chinese listed companies; and centralized board leadership structure and director compensation incentive have a positive impact on the firm expansion of listed companies partially by improving the sustainable innovation capability.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yanrong Hu ◽  
Hongjiu Liu

Purpose This paper aims to evaluate innovation capability of companies based on comprehensive methods. Design/methodology/approach This paper used principal component analysis (PCA), kernel principal component analysis (KPCA) and principal component cluster (PCC) analysis to analyze the listed companies’ innovation capability. On these bases, mean method, Borda method, Copeland method, alienation coefficient method and fuzzy Borda method were used separately for the comprehensive evaluation. Findings The results show that the comprehensive evaluation can overcome the shortage of the single method and improve the reliability of the innovation ability evaluation. In addition, the method also reveals that the innovation ability of the listed companies is closely related to the innovation investment and their industry and further regional economic development level of each province (city and area). Originality/value This paper uses PCA, KPCA and PCC to evaluate and study their innovation ability. On the basis of these, five methods (mean method, Copeland method, Borda method, divorced coefficient method and fuzzy Borda method) are applied respectively to combine the sort results of PCA, KPCA and PCC. The results show that combination methods have better theoretical and practical significance for innovation ability.


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