scholarly journals Research on the Influence of High-tech Industry Specialization Agglomeration on Innovation Efficiency

2021 ◽  
Vol 235 ◽  
pp. 02026
Author(s):  
Shuyang Nan
Keyword(s):  
High Tech ◽  
Industrial Agglomeration ◽  
Analysis Framework ◽  
Regional Innovation ◽  
High Tech Industry ◽  
Industry Specialization ◽  
Industrial Specialization ◽  
Support For Innovation ◽  
The Impact ◽  
Data Level

In the new economic era with innovation as the first driving factor, high-tech industry, as an important industry support for innovation, its innovation efficiency will greatly affect the regional innovation level. In order to improve the innovation efficiency of the high-tech industry, the practice of accelerating the professional agglomeration of the industry has been widely adopted. What is the impact of high-tech industry specialization agglomeration on innovation level? Based on this, this paper constructs a theoretical analysis framework between industrial specialization agglomeration and innovation efficiency, and empirically analyzes it. The research results are as follows: there is an inverted U-shaped relationship between high-tech industry specialization agglomeration and innovation efficiency, that is, there is a specialized agglomeration scale, which makes industrial innovation efficiency reach the highest level. According to the empirical results, this paper provides a data level support for the proposal of industrial agglomeration policy.

scholarly journals The Impact of CSR on the Capital Structure of High-Tech Companies in Poland

2021 ◽  
Vol 13 (10) ◽  
pp. 5467
Author(s):  
Barbara Grabinska ◽  
Dorota Kedzior ◽  
Marcin Kedzior ◽  
Konrad Grabinski
Keyword(s):  
Capital Structure ◽  
Financial Reporting ◽  
Academic Research ◽  
Debt Financing ◽  
High Tech ◽  
High Tech Industry ◽  
Reporting Practices ◽  
Csr Reporting ◽  
The Impact ◽  
The Capital Structure

So far, CSR’s role in the high-tech industry is not fully explained by academic research, especially concerning the most burdensome obstacle to firms’ growth: acquiring debt financing. The paper aims to solve this puzzle and investigate whether young high-tech companies can attract more debt by engaging in CSR activity. To address the high-tech industry specificity, we divided CSR-reporting practice into three broad categories: employee, social, and environmental and analyzed their impact on the capital structure. Our sample consists of 92 firm-year observations covering the period 2014–2018. Using a regression method, we found out that only employee CSR plays a statistically significant role in shaping capital structure. We did not find evidence for the influence of the other types of CSR-reporting practices. The results suggest that employees are the key resource of high-tech companies, and, for this reason, they are at the management’s focus. This fact is visible at the financial reporting level and, as we interpret results, is also considered by credit providers. In a more general way, our results suggest that firms tend to choose CSR based on the importance of crucial resources.

scholarly journals Industrial efficiency analysis based on the spatial panel model

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xiaobo Yin ◽  
Liyan Guo
Keyword(s):  
Regional Cooperation ◽  
Scale Effects ◽  
Spillover Effects ◽  
Economic Transformation ◽  
Environmental Efficiency ◽  
Green Economy ◽  
Industrial Technology ◽  
High Tech ◽  
Industrial Agglomeration ◽  
The Impact

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.

scholarly journals The Influence of Core Technology Capability of High-Tech Industry on Sustainable Competitive Advantage

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xi Liu ◽  
Shuai Yang
Keyword(s):  
Competitive Advantage ◽  
Organizational Innovation ◽  
Core Competencies ◽  
Theoretical Research ◽  
High Tech ◽  
Sustainable Competitive Advantage ◽  
Technological Capabilities ◽  
High Tech Industry ◽  
The Core ◽  
The Impact

In order to explore how the core technological capabilities of the high-tech industry affect the sustainable competitive advantage of an enterprise, by consulting a large number of literature studies on sustainable competition, the characteristics of high-tech enterprises were summarized through analysis and sorting and a sustainable competition model was proposed based on market, management, marketing, strategy, and organizational innovation. Through factor analysis, correlation analysis, and structural equations of 266 survey data of related companies, the effectiveness of the model based on the impact of core capabilities of high-tech companies on sustainable competitive advantage was confirmed. The results show that the core competencies of high-tech enterprises’ market recognition, strategic planning, management and operation, full-person marketing, and dynamic marketing directly affect the company’s sustainable competitive advantage. The most important influence on a company’s sustainable competitive advantage is market awareness, and the organizational innovation of the company can also influence the sustainable competitive advantage indirectly, while dynamic marketing can increase the other four capabilities to improve the sustainable competitive advantage of the enterprise. The theoretical model is established to identify the core technological capabilities of high-tech enterprises that can help enterprises effectively identify the core technological capabilities that can form a sustainable competitive advantage and then provide ideas for enterprises to build theoretical research on core technological capabilities.

scholarly journals The Impact of Participatory Governance on Regional Development Pathways: Citizen-driven Smart, Green and Inclusive Urbanism in the Brainport Metropolitan Region

Triple Helix ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 69-110
Author(s):  
Christiane Gebhardt
Keyword(s):  
Metropolitan Region ◽  
High Tech ◽  
Research Approach ◽  
Participatory Governance ◽  
Regional Innovation ◽  
Social Entrepreneurs ◽  
Triple Helix Model ◽  
Extended Approach ◽  
Multi Stakeholder ◽  
The Impact

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.

scholarly journals The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt

2019 ◽  
Vol 11 (19) ◽  
pp. 5189 ◽  
Author(s):  
Weiliang Chen ◽  
Xinjian Huang ◽  
Yanhong Liu ◽  
Xin Luan ◽  
Yan Song
Keyword(s):  
Economic Development ◽  
Yangtze River ◽  
Green Economy ◽  
High Tech ◽  
The Yangtze River ◽  
Development Mode ◽  
High Tech Industry ◽  
Industry Agglomeration ◽  
Green Development ◽  
The Impact

Development is the eternal theme of the times. However, the transformation of the development mode is imminent, and we should abandon the extensive economic development mode and turn to the efficient development of an intensive mode. The high-tech industry will be the decisive force in future industrial development. The agglomeration of the industry will help form economies of scale, thereby improving the effective allocation of resources and promoting productivity. The increase in green economy efficiency is a key factor in achieving green development and an important indicator of achieving the coordinated development of economic development and environmental protection. Therefore, in this study, we try to improve the efficiency of the green economy through industrial agglomeration to achieve green development. In order to solve this problem, we took the Yangtze River Economic Belt as the research object, used Super Slacks-based Measure (SBM) data envelopment analysis (DEA) and general algebraic modeling system (GAMS) to study the green economy efficiency, and then used the system generalized moment method (SGMM) to study the impact of high-tech industry agglomeration on green economy efficiency. According to the empirical test, we found that (1) the green economy efficiency of the Yangtze River Economic Belt shows a volatile upward trend, (2) the green economy efficiency of the Yangtze River Economic Belt differs with time and by region, (3) the agglomeration of the high-tech industry has a lagging effect on the improvement of green economy efficiency, and (4) the regression coefficients of economic development and foreign direct investment are positive and those of environmental regulation and urbanization are negative. Finally, in this paper, we provide corresponding policy recommendations to promote the agglomeration of high-tech industries, thereby improving the efficiency of the green economy.

scholarly journals The Impact of OFDI on the Technical Complexity of High-tech Industry Export in Home Country

2020 ◽  
Vol 214 ◽  
pp. 02012
Author(s):  
Chunxiang Liu ◽  
Yalan Gao
Keyword(s):  
Developing Countries ◽  
Data Model ◽  
Home Country ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
High Tech ◽  
High Tech Industry ◽  
The Developed Countries ◽  
The Impact ◽  
D Investment

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.

Research on Regional Innovation Capability Based on BP Neural Network

2014 ◽  
Vol 926-930 ◽  
pp. 3191-3194
Author(s):  
Ya Qun Gao
Keyword(s):  
Life Cycle ◽  
Innovation System ◽  
High Tech ◽  
Innovation Capability ◽  
Regional Innovation ◽  
High Tech Industry ◽  
Life Cycle Theory ◽  
Economy Condition ◽  
Network Platform ◽  
System Life

The region innovation system has provided the network platform for the knowledge dissemination and the flowing, simultaneously in the region the high-tech industry colony's knowledge overflow promoted the knowledge in region sharing, becomes the region innovation the driving force. This article has constructed the region innovation system life cycle model based on the baud life cycle theory, has studied under the knowledge economy condition the high-tech industry colony knowledge overflow to the region innovation system different life cycle influence mechanism.

Sectoral Differences in the Effect of Industrial Agglomeration

2011 ◽  
Vol 225-226 ◽  
pp. 1192-1195
Author(s):  
Jing Yang
Keyword(s):  
Empirical Evidence ◽  
Principle Component Analysis ◽  
High Tech ◽  
Industrial Agglomeration ◽  
Input Output ◽  
High Tech Industry ◽  
Principle Component ◽  
Industry Agglomeration ◽  
Sectoral Differences ◽  
Capital Intensive

This paper derives related-industry from input-output method, and is the first to apply the result into the study of the externality effect of within-industry agglomeration and related-industry co-agglomeration. As a main form of externality, localization economy can be resolved into within-industry agglomeration and related-industry co- agglomeration, this paper used Input-Output method and principle component analysis to identify related-industry. This paper finds the empirical evidence of within-industry agglomeration and related-industry co-agglomeration, within-industry agglomeration is the main source for labor-intensive industries, and related-industry co-agglomeration is the main source for capital-intensive and high-tech industry industries. This paper also finds that productivity will vary in an "inverted U" shape with the increase of within-industry agglomeration and related-industry co-agglomeration degree. These findings are beneficial for Government to make decisions of industry transfer.

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