SUSTAINABILITY OF DEVELOPMENT THROUGH ENTERPRISE INNOVATION

2021 ◽  
Author(s):  
Natalia Vladimirovna Makovskaya
Keyword(s):  
Enterprise Innovation

scholarly journals Environmental Taxes and Innovation in Chinese Textile Enterprises: Influence of Mediating Effects and Heterogeneous Factors

2021 ◽  
Vol 13 (8) ◽  
pp. 4561
Author(s):  
Yabin Yu ◽  
Hua Cheng
Keyword(s):  
Capital Investment ◽  
Economic Behavior ◽  
Property Right ◽  
Environmental Taxes ◽  
Innovation Activity ◽  
Environmental Tax ◽  
Capital Input ◽  
Innovation Activities ◽  
Enterprise Innovation ◽  
Innovation Capital

Climate change and environmental conditions call for more attention to be paid to eco-friendly economic behavior. As a market-oriented environmental regulation, environmental tax can stimulate and guide enterprises’ environmental innovation in a neutral way. However, what elements connect the environmental tax and enterprise innovation activity together? Are all the enterprises’ innovation activities affected by the environmental tax in the same way? To answer the questions, the study uses the data of Chinese textile listed companies between 2004 and 2018 to explore the intermediary role of manpower and capital investment in the innovation chain and further analyze the influence of the heterogeneous factors such as property right, segmented industry, and region. The results show that the environmental tax can effectively promote the innovation capital input of Chinese textile enterprises, and the innovation manpower input plays a partial mediation role. At the same time, environmental tax can effectively promote the innovation performance output of Chinese textile enterprises, and innovation capital input plays a complete mediation role. In addition, heterogeneous factors such as property right, segmented industry and region will affect the relation of environmental tax to innovation input and output quality and greenness to varying degrees. The study makes a profound analysis of the relation of environmental tax on Chinese textile enterprises innovation by using the microdata at the enterprise level, providing a more targeted reference for making policies in the future.

scholarly journals Do Interlocks Lead to the Convergence of Interfirm Innovation Performance? Evidence From China

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110071
Author(s):  
Ying Teng ◽  
Eli Gimmon ◽  
Wentong Lu
Keyword(s):  
Network Effects ◽  
Demographic Characteristics ◽  
Innovation Performance ◽  
Driving Mechanism ◽  
Interlocking Directorates ◽  
Board Interlocks ◽  
Enterprise Innovation ◽  
New Perspective ◽  
The Relationship ◽  
Level Analysis

We examine how interlocking directorates influence innovation performance differentials between firms. Our study offers a new perspective of the effect of interlocking directorate ties upon innovation performance, focusing on network effects on interfirm performance. Using a sample of China’s listed companies for the period 2012–2016, we empirically examined the relationship between board interlocks and interfirm innovation performance differentials. The results demonstrate that the presence of board interlocks reduces interfirm innovation performance differentials and leads to a convergence of innovation performance between the connected companies. Furthermore, cross-level analysis found that the relationship between board interlocks and interfirm innovation performance differentials is moderated by the interfirm industry attributes and demographic characteristics of the board. This study expands the existing research in explaining the driving mechanism of enterprise innovation performance as affected by interlocking directorate ties.

Information technology investment and innovation performance: does investment paradox exist?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peinan Ji ◽  
Xiangbin Yan ◽  
Yan Shi
Keyword(s):  
Information Technology ◽  
Time Lag ◽  
Innovation Performance ◽  
Test Model ◽  
It Investment ◽  
Firm Innovation ◽  
Data Set ◽  
Content Type ◽  
Lag Effect ◽  
Enterprise Innovation

Purpose The purpose of this study is to deepen the understanding of the effects of information technology (IT) investment on firm innovation performance and examining the investment paradox effect in China. Design/methodology/approach Using a sample of China’ public firms IT investment data between 2010 and 2016, the authors establish a test model of IT investment and innovation performance. Findings The result indicates that IT investment in firms have no effect on innovation performance in the investment period. However, in the full sample and manufacturing sample, the IT investment has a significant positive effect on innovation performance in the post-investment years. In addition, this study finds that large companies and low-age companies may contribute more to innovation when firm investment in IT. Research limitations/implications There are several limitations in this research. First, the authors are failed to obtain a larger sample about the IT investment information data set in China, so this study was compelled to use limited sample data from China, hence, this could lead to errors of too early generalization. Second, the authors use the number of invention patent applications to represent the performance of enterprise innovation, which may not show enterprise innovation effectively. Third, the firms in the sample are all in China Listed Companies, so this may not accurately reflect the entire environment of firm innovation performance, and could possibly. Practical implications The research confirms that there is a paradox and time lag effect in IT investment, which enterprises should pay attention to. Originality/value Existing research confirms that corporate IT investments can bring new products or services. However, the authors still do not know whether IT investment has improved the company’s ability of innovation. This study will fill this gap and the industry effect and time lag effect of the influence of IT investment on innovative performance are also examined.

Evolution of the Internet’s Support for Chinese Enterprises’ Innovation Based on Big Data

2021 ◽  
pp. 2159042
Author(s):  
Cuilan Wang ◽  
Deji Wang ◽  
Yu Wang ◽  
Fangyuan Jiao
Keyword(s):  
Development Process ◽  
Organizational Innovation ◽  
Learning Algorithm ◽  
Innovation System ◽  
Development Trend ◽  
Recall Rate ◽  
The Body ◽  
Evolutionary Development ◽  
Chinese Enterprises ◽  
Enterprise Innovation

In order to study the development trend of the Internet’s role in supporting enterprise innovation, a new method based on deep learning algorithm and knowledge graph technology is proposed. Experiments show that the accuracy, F1 value, recall rate and precision of the algorithm are distinctly improved compared with the existing algorithms. A new algorithm is applied to analyze the innovation evolution of Chinese enterprises, using papers, patents and other documents between 1905 and 2020 as data sources. Based on the experimental results, the development stages can be divided into five stages. The research focus is on product R&D innovation, manufacturing innovation, marketing innovation, resource allocation innovation and organizational innovation. It can be seen that the development process of the Internet supporting enterprise innovation system is an evolutionary development process from point to line, to surface, to the body, and to the ecosystem.

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