scholarly journals Research on Regional High-Tech Innovation Efficiency and Influence Factors: Evidence from Yangtze River Economic Belt in China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lin Zou ◽  
Xian-zhong Cao ◽  
Yi-wen Zhu

China’s high-tech innovation and marketization efficiency still need to be optimized, which restricts the promotion of regional innovation and economic development. On such practical problem, this paper mainly focuses on improvement of high-tech efficiency of China, with the hope that the research can help to find ways to improve efficiency in both regions and industry development. Moreover, the impact on the high-tech innovation stage and the marketization stage are analyzed, in order to make clear the main problems in the complex process of high-tech innovation. This paper proposed the super-SBM model and the panel regression model. The conclusions are as follows. (1) The efficiency of high-tech innovation in China is improving, but there are great differences within regions. Therefore, the heterogeneous regional innovation context should be taken into consideration in the institutional management policies. (2) There is a significant positive correlation between government subsidies and R&D intensity in improving the high-tech innovation efficiency. Government needs to carry out appropriate policy guidance, increase financial support, and encourage high-tech enterprises to increase R&D investment. (3) Openness and better innovation environment play a positive role in the technology marketization stage; thus, the establishment of inter-regional cooperation or transnational relations is an effect way. Forming a better innovation environment can also help to enhance international high-technology cooperation and improve marketization efficiency.

Author(s):  
Xiaobo Yin ◽  
Liyan Guo

AbstractHigh-tech industrial agglomeration is conducive to boosting technological progress, promoting industrial structure upgrading and realizing economic transformation, and certainly affects the overall industrial environmental efficiency. However, few recent studies have focused on its impact on industrial environmental efficiency from a green perspective. In the context of promoting the development of green economy, it is of great significance to clarify the links between high-tech industrial agglomeration and industrial environmental efficiency. In this research, we first analyzed the theoretical mechanism of the impact of high-tech industrial agglomeration and its spatial spillover effects on industrial environmental efficiency and then made an empirical analysis based on the panel data of 29 provinces and cities in China from 2003 to 2016. During the research, Super-DEA method, ESDA method and spatial Dubin model are used. The result shows that: (1) There is a significant spatial positive correlation between China's industrial environmental efficiency and high-tech industrial agglomeration; (2) high-tech industrial agglomeration has improved the local industrial productivity and industrial technology level through scale effects and technical effects, which has accordingly significantly enhanced the corresponding environmental efficiency; (3) through the association of regional industries, the cross-regional cooperation of enterprises and the formation of innovation networks, high-tech industrial agglomeration promotes the spillover of knowledge and technology among regions, improves the level of industrial technology in neighboring regions, and enhances the industrial environmental efficiency in neighboring regions. All these three is helpful to re-evaluate the development mode of high-tech industry agglomeration and to formulate relevant government policies.


Triple Helix ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 69-110
Author(s):  
Christiane Gebhardt

Urban innovation policies reintroduce the role of social entrepreneurs and civil society into innovation studies with regard to the governance of regional innovation and the emergence of new innovation pathways. The research approach integrates the concepts of urban and regional transformation, participatory governance and works with an actor-centered approach that employs the enactment of innovation models by actor constellations such as the smart city concept and the Triple Helix model. We illustrate the pathway of a citizen-driven approach in innovation for the case of Brainport smart district in the city of Helmond, in the metropolitan high-tech region Eindhoven in The Netherlands. The empirical data is obtained in a real-world laboratory (rwl) in a multi-stakeholder co-creation process. The case contributes to the categorization of citizen-driven innovation pathways within an extended approach of Economic Evolutionary Geography (eeg) and thus to the frame of reference for structural dynamics in social theory.


2020 ◽  
Vol 214 ◽  
pp. 02012
Author(s):  
Chunxiang Liu ◽  
Yalan Gao

This paper calculates the technical complexity of high-tech industry export in 38 countries from 1997 to 2017, discusses the mechanism of OFDI on the technical complexity of high-tech industry export in the home country, and empirically tests the impact of OFDI on the technical complexity of high-tech industry export in the home country by using the System GMM method of dynamic panel data model. The results show that OFDI can improve the technical complexity of high-tech industry export in the home country. After further analysis, it is found that OFDI can only significantly improve the technical complexity of high-tech industry exports from developing countries, but to a certain extent inhibit the developed countries. In addition, FDI, R & D investment, human capital, openness to the outside world and self owned technology can promote the export technology complexity of a country’s high-tech industry, while the impact of capital endowment on the export technology complexity of developed and developing countries’ high-tech industry is different.


Author(s):  
Muhammad Usman

The aim of this study is to explore the impact of R&D investment on high tech exports in Pakistan - a developing and emerging economy. To testify such relationship, data are collected from firms’ financial statements, World Bank data base and State Bank of Pakistan data source. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square with robust standard error, along with several macroeconomic control variables, we found significantly positive relationship between R&D investment and high the exports. According to the product life cycle theory of international trade, innovative activities help to create competitive advantage which is essential for competing in worldwide markets. The empirical results show that R&D investment creates new products, which can attract foreign customers and creating export opportunities.


2021 ◽  
Vol 245 ◽  
pp. 01034
Author(s):  
Jia Wang ◽  
Yuke Li ◽  
Wei Pan ◽  
Zhenbiao Li

There are different subjects in the automobile recycling behaviour, while each subject is also affected by different social behaviours, including policy guidance, social cognition, technological upgrading and environmental protection. This study uses the AHP method to analyze the influence factors of different social behaviours on different subject, so as to visually analyze the impact caused by each social behaviour. At the end of the article, some suggestions for improving automobile recycling are discussed from the perspective of social behaviours.


2017 ◽  
Vol 33 (6) ◽  
pp. 1187-1204
Author(s):  
Najoua Boufaden

This paper deals with the nature of the mechanisms supporting knowledge spillovers diffusion in high-tech clusters. The literature in the geography of innovation focuses on the existence of local knowledge spillovers, which are enhanced by geographic and technological proximity. However, the mechanisms explaining the diffusion of spillovers are not well understood. If knowledge spillovers exist, how does this knowledge diffuse among the actors? Do spillovers spread in the air, as suggested by Marshall? Or, are there mechanisms that explain their dissemination? Based on a firm survey data base and an original methodology, the paper explores the determinants of knowledge spillovers. The paper has twofold purposes; the first one is to determine the main mechanisms within a region enabling the diffusion of spillovers. The second objective is measuring the impact of these main mechanisms on firm’s innovation performance, indicating which of these mechanisms are more effective in transporting knowledge spillovers between agents. The results show new empirical evidences on the role played by institutions[1] in the dissemination of externalities. However, informal mechanisms, such as face-to-face contacts commonly stressed in the literature, have no significant and negative effects in this case. [1] Institutions are defined here as a kind of structures that matter in structuring social interactions (Hogdson, 2006). Institutions can enable or constraint choices and actions. So it can enhance agent behaviors and actions that otherwise would not exist. According to this definition, formal institutions supporting R&D and innovation activities of SMEs in the biotech industry can enable or constraint actions of these firms regarding accessibility to critical resources available in a given region such as knowledge, information, finance, etc. Finally, we can assume that Institutions structures can explain variation in regional innovation performance.


2021 ◽  
Vol 190 (5-6(2)) ◽  
pp. 33-47
Author(s):  
Zsuzsanna Pupp ◽  
◽  
Bálint Filep ◽  

Economic and regional development and rapid, often unpredictable changes across the globe in technical fields have an effect on everything, including universities, training, research and services as well. Universities must find their place in this continuously changing environment, they need to continuously reinterpret themselves and their own roles, whilst ensuring that education and knowledge transfer take priority. The pace of change is increasingly accelerating with technological novelties and innovations by high-tech industries surpassing themselves at an astounding rate. Therefore, knowledge, as the facilitator and creator of these results, plays an increasingly important role for those who wish to rank among the winners of the competition both locally and globally. Today, the primary creators of knowledge are still educational institutions, and universities are the fundamental platforms of research. However, it is not enough to be «only» a university, they must educate and research and become part of the developed world alongside participants who would like to provide scientific answers to practical problems. In our paper we address the question of breaking points along which the role of universities can be transformed in order to remain open to the needs of both their narrower and wider environment while maintaining their fundamental mission, thus becoming successful players on the global stage. The development of high-tech industries has resulted in a science-driven period when economic development is unimaginable without the scientific results and the interconnection of individual disciplines. This development will presumably lead to the deterioration of certain individual knowledge and the deepening of others. Higher education must also adapt to this with the development of an education system that strengthens digital skills and serves regional expectations. Nowadays entrepreneurial universities have emerged, which are able to operate with an entrepreneurial approach, thereby responding independently to challenges from outside. The ability to co-operate must be a key aspect of university existence, and the deepening of educational, research and business partnerships is a prerequisite for success. In order to spread management approach and create an entrepreneurial ecosystem, successful R&D work and innovation, it is also necessary to involve external, tender resources and grants, besides own resources. However, these resources need to be used well, but the lack of a pre-planned, conscious strategy results in less efficient use. Regional cooperation, common thinking, training and innovation, science workshops and science parks all contribute to the development of institutions and related regions.


Author(s):  
Anna A. Firsova ◽  
Elena L. Makarova ◽  
Ryasimya R. Tugusheva

The main aim of this research was to search for relevant indicators and effective instruments for modeling the impact and institutional management of the regional innovation system for its balanced development. The objective of the study was to justify approaches for institutional management elaboration for balanced sustainable development of regional innovation systems regarding related factors and the needs of the region. The methodology of cognitive modeling and scenario impulse modeling are used for the analysis of the interconnection between the regional innovation system and higher education institutions and developing an instrument to diagnose the problems of no-congruence and improving the institutional management elaboration in the regional innovation policy. The analysis of system indicators of the cognitive map allowed to define the basic patterns in the regional system, determine the most significant factors and relationships for the economic system of the region and visualize them in the form of a cognitive map, identify the influence of the innovation environment elements on the target indicators, quantify its positive and negative impact, forecast and determine the directions of its improvement and enhancing the interaction of regional actors. The results of the study have practical value for use in improving institutional management in planning reforms and transformations of regional innovation systems.


2020 ◽  
pp. 097215092097812
Author(s):  
Sami Gharbi ◽  
Hidaya Othmani

Foreign institutional investors hold over one-fifth of the total market value of the French stock market. Thus, it is important to analyse their influence on corporate investment decisions. This study investigates the impact of foreign institutional ownership on R&D activities. We examine whether these investors enhance or impede R&D investment intensity. Dynamic panel data analysis is applied to a sample of listed French high-tech firms over the period 2008–2014. Our results show that foreign institutional ownership encourages R&D investment while domestic institutional ownership dampens it. Foreign institutional ownership can act as a monitoring mechanism that reduces managerial myopia and encourages long-term and risky investment to enhance firm value.


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