Agglomeration and driving factors of regional innovation space based on intelligent manufacturing and green economy

2021 ◽  
Vol 22 ◽  
pp. 101398
Author(s):  
Limeng Ying ◽  
Menghao Li ◽  
Jie Yang
Keyword(s):  
Intelligent Manufacturing ◽  
Driving Factors ◽  
Green Economy ◽  
Regional Innovation ◽  
Innovation Space

The innovative space as the most important element of theregional socio-economic space

2019 ◽  
pp. 60-70
Author(s):  
Larysa Gromozdova ◽  
Inna Stenicheva
Keyword(s):  
Basic Element ◽  
Information Support ◽  
Space Region ◽  
Regional Innovation ◽  
Economic Space ◽  
Mechanisms Of Formation ◽  
Innovation Space ◽  
Space Mechanisms ◽  
Constituent Elements

Purpose of the article: to determine the essence of different elements ofsocio-economic space of the region. Construction of the structure and isolationof individual elements of socio-economic space as a multi-vector formation.This article highlights the essence and different approaches to defining theconcepts, structure and mechanisms of formation of economic and social spacesof the region, innovation space as a basic element of socio-economic space.Research Methods: The methodological basis of the research is the fundamentalprinciples of economic theory, regional economy, scientific views and approachesof foreign and domestic scientists. To achieve the purpose of the study, themethods used at the empirical and theoretical levels were used: axiomatic,abstract, system-structural analysis, analogies and comparisons, graphoanalytic,by which the characterization of the nature of the concepts of space, socioeconomic space, as well as innovation space region. Their general properties,structure and functions are described.The criteria of optimality and balancesof interests in the formation of different types of space in the region areconsidered. The classification of the regional space is proposed, and the networkconnections of the innovation space according to components and elements arerevealed, which allows to study deeply the social, economic and other problemsof development of the region.Scientific novelty: the classification of regionalspace by separate constituent elements is proposed. The concept of “innovationspace” was introduced into scientific circulation, the scheme of networkconnections of the innovation space with other elements of the regional socioeconomic space was developed. Conclusions and Prospects for Further Research:In today’s context, it is possible to significantly improve the economic stateof development of Ukrainian regions by using a scientifically sound andcomprehensive approach to defining and studying the concepts of socioeconomic and innovative space.In the further study it is necessary to considerin detail the mechanism of organizational activity of innovation space in theregion. It is very important to pay attention to information support for theformation of the innovation space, the creation of a regional legal field ofinnovation space, mechanisms for coordinating regional innovation activitieswithin the innovation space, as well as the influence of internal and externalfactors on the formation and development of the innovation space.

Spatial evolution and driving factors of innovation space in China

2021 ◽  
Vol 14 (17) ◽  
Author(s):  
Lili You ◽  
Limeng Ying ◽  
Jie Yang ◽  
Mingli Zhu
Keyword(s):  
Driving Factors ◽  
Spatial Evolution ◽  
Innovation Space

scholarly journals Approach to the analysis and comparison of national innovation systems on the example of Russia and other countries

2019 ◽  
Vol 81 (1) ◽  
pp. 434-442 ◽  
Author(s):  
M. Yu. Afanasiev ◽  
M. A. Lysenkova
Keyword(s):  
Innovation System ◽  
Innovation Systems ◽  
Innovation Activity ◽  
Econometric Modeling ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Country Comparison ◽  
China And Japan ◽  
Innovation Space ◽  
The Impact

Currently, there is a tendency to evaluate the innovation system at the national level. Qualitative inter-country comparison requires quantitative and qualitative assessment of the factors influencing the innovation activity of the region. The purpose of this work was to justify quantitatively the impact of science and business on the innovation activity of the region. International patent applications are selected as an indicator reflecting the result of innovation activity in the region. Statistical hypothesis testing is carried out in this paper. The dependence between the results of innovation activity and innovation space of the region is confirmed by the methods of econometric modeling. The innovation space of the region is described in the work as a set of potential links between business and organizations that create new knowledge. The study used the official statistics of the regions of such countries as Russia, Switzerland, USA, China and Japan. Estimates of parameters of national and regional innovation systems of the Russian Federation, Switzerland, the USA, China and Japan are received by methods of econometric modeling. It is shown that the assessment of elasticity and technical efficiency of the innovation space of the region indicate the development of the innovation system. In the considered time range it is established that the Pareto-optimality property is possessed by the parameters of innovation systems of Japan, China and Switzerland. Estimates of the technical efficiency of the innovation space for a total of 190 regions according to 2012, a comparative analysis of the countries on the basis of the estimates. The paper provides a rationale for the use of parametric descriptions of national and regional innovation systems. This description can be used for cross-country comparison of the impact of science and business on the results of innovation activity, clustering of national innovation systems.

scholarly journals Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
You-Qun Wu ◽  
Huai-Xin Lu ◽  
Xin-Lin Liao ◽  
Jia-Bao Liu ◽  
Jia-Ming Zhu
Keyword(s):  
Economic Efficiency ◽  
Empirical Test ◽  
Threshold Model ◽  
Threshold Effect ◽  
Green Economy ◽  
Mediation Effect ◽  
Mechanism Analysis ◽  
Regional Innovation ◽  
Effect Analysis ◽  
The Impact

Based on the theoretical mechanism analysis of FDI, regional innovation, and green economic efficiency, this article uses China’s provincial panel data to calculate the provincial green economic efficiency level based on the three-stage DEA method and uses the system GMM model, intermediary effect model, and threshold model to empirically test the specific effects and transmission paths of FDI on the efficiency of the green economy. Research shows that FDI is one of the important factors that promote the improvement of green economic efficiency. Subregional tests have found that FDI has a significant regional heterogeneity in promoting the efficiency of the green economy. The mediation effect test found that the mediation effect of regional innovation is significant, and FDI can significantly promote the growth of green economic efficiency through regional innovation. The threshold effect analysis found that there are significant and effective double thresholds for regional economic levels, and the impact of FDI on green economic efficiency is heterogeneous within different threshold intervals. The research conclusions provide new inspiration for China to allocate FDI more rationally and efficiently under the new development pattern.

scholarly journals Development of the Knowledge Economy and Regional Innovation Policy in the Context of Sustainable Development: Russian Practice

2017 ◽  
Author(s):  
Elena Tkachenko ◽  
Sergey Bodrunov ◽  
Elena Rogova
Keyword(s):  
Sustainable Development ◽  
Balanced Scorecard ◽  
Knowledge Economy ◽  
Innovation Policy ◽  
Innovation Management ◽  
Life Quality ◽  
Green Economy ◽  
Regional Innovation ◽  
The Balanced Scorecard ◽  
Regional Innovation Policy

The paper explores different models of innovation management at the regional level and reasons for the best model considering the specific features of St. Petersburg as the innovative region of Russia. The authors, on the base of their long-time experience in studies of innovative enterprises and elaborating the regional innovation policy in St. Petersburg, propose the tool of creation and measuring the results of the regional innovation policy that promotes the life quality improvement and regional sustainable development. The balanced scorecard is used as a method, based on the methodology of knowledge economy development and adjusted to the specific needs of St. Petersburg innovation eco-system. The authors pay special attention to the implementation of principles of green economy into the realization of the regional innovation policy and the proposed balanced scorecard.

scholarly journals Strengthening the Role of Academic Institutions and Innovation Brokers in Agri-Food Innovation: Towards Hybridisation in Cross-Border Cooperation

2021 ◽  
Vol 13 (9) ◽  
pp. 4899
Author(s):  
Marina Knickel ◽  
Sabine Neuberger ◽  
Laurens Klerkx ◽  
Karlheinz Knickel ◽  
Gianluca Brunori ◽  
...  
Keyword(s):  
Academic Institutions ◽  
Regional Innovation ◽  
Agenda 2030 ◽  
Border Regions ◽  
Cross Border ◽  
Innovation Space ◽  
The Impact ◽  
The Empirical Analysis

Existing research suggests that regions can develop their long-term competitive advantage through well-functioning interregional innovation cooperation. In this article, we use the example of innovation in small and medium-sized agri-food enterprises (SMEs) to scrutinise and compare regional innovation approaches on each side of the Dutch-German border and explore how they can converge into a cross-border innovation space. Particular attention is paid to the role of academic institutions and innovation brokers in creating a common innovation space. We explore how differences between two cross-border regions can be harnessed to enhance the impact of innovation, and how this may lead to what we describe as hybridisation effects. In the empirical analysis, we apply the concept of hybridisation to a cross-border innovation space, something that, as far as we are aware, has not been done before. We empirically ground the concepts of a cross-border innovation space and hybridisation and illustrate how relative regional strengths can lead to hybridisation effects. We conclude that differences in economic structures, institutional set-ups, visions and identities inherent in cross-border spaces are not only hindrances, but also opportunities, and we highlight the importance of these complementary strengths and the potential for their strategic use by regional innovation actors. Our findings are highly relevant for the further development of the Interreg Europe programme and the implementation of the EU’s Territorial Agenda 2030.

scholarly journals Determinants of Financial Performance in China’s Intelligent Manufacturing Industry: Innovation and Liquidity

2021 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Guanghong Zhang ◽  
Yune Lee
Keyword(s):  
Financial Performance ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Intelligent Manufacturing ◽  
Manufacturing Industries ◽  
Government Support ◽  
Equation Modeling ◽  
Chinese Government ◽  
Regional Innovation ◽  
Endogenous Factors

This study focuses on the mediation channels through which the financial performance of intelligent manufacturing industries closely related to the Fourth Industrial Revolution has been affected. Along with compiling a massive volume of datasets publicized by the Chinese government and other authoritative institutions, a survey of the 317 listed enterprises of the intelligent manufacturing industries in China has been established for statistical analysis. Using Structural Equation Modeling (SEM), this research tests six hypotheses and confirms the inter-factor impact relationship between exogenous and endogenous factors. We find that innovation efforts mainly led by increasing investment in Research & Development (R&D), along with high liquidity, surely lead to good financial performance, whereas innovation efforts alone do not. Government support policy has been found to be closely related not only to higher liquidity, but to good financial performance through the common channel of R&D investment. Regional innovation capability has been revealed to be related to R&D investments, and, furthermore, to liquidity, which shows that the regional innovation system in China has been functioning relatively well to induce enterprises to increase investments and secure higher liquidity, and finally contribute to achieving better business performance. However, regional economic development shows no relationship with R&D investments, and consequently neither with liquidity nor with performance.

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