scholarly journals Regional Innovation Capacity in Development Regions and Cities: A Sustainable Approach

2012 ◽  
Vol 4 (4) ◽  
pp. 223-226
Author(s):  
Peyman Pournasr Khakbaz
Keyword(s):  
Information Technology ◽  
Human Capital ◽  
Regional Development ◽  
Institutional Environment ◽  
Regulatory Framework ◽  
Regional Innovation ◽  
Factors Affecting ◽  
Innovation Capacity ◽  
Main Index ◽  
Development Communications

This paper aims to identify innovation capacity factors affecting the development of regional by using the main index of legal and regulatory framework, research and development, communications and information technology, environment and institutional and human capital, education and social coverage. The research method is Qualitative and by focal group. Therefore, by choosing 6 from academic experts, the group was formed. To clarify the principles and basic format, explanations about of the meeting and a detailed description of the research model presented. Then to get more accurate and clearer data, and 5 core indicators parted to theirs sub indicators and the group members discussed them. The results showed that all five the main index of the "institutional environment", "R&D"1, "Using information and communication technology", "Legal and regulatory framework" and "human capital, education and social coverage" are impact on the development of region. The “country politic assessment " and "efficient and proper administration" which are two sub indicators of institutional environment and tow sub indicators of human capital, education and social coverage which are education and social coverage have impact on regional development .Also doing business and infrastructure of R&D which are sub indicators of legal and regulatory framework and R&D have impact on regional development. In the sub indicators of communications and information technology, “internet, computer and TV” and “government using of ICT “and quality of infrastructures have impact on regional development.

scholarly journals Why Is Collaborative Agglomeration of Innovation so Important for Improving Regional Innovation Capabilities? A Perspective Based on Collaborative Agglomeration of Industry-University-Research Institution

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Jing Li ◽  
Jialong Xing
Keyword(s):  
Human Capital ◽  
University Research ◽  
Regional Innovation ◽  
Institution Innovation ◽  
Explanatory Variables ◽  
Research Institution ◽  
Knowledge Innovation ◽  
Innovation Capacity ◽  
Two Stages ◽  
The Impact

Exploring the impact of collaborative agglomeration of industry-university-research institution innovation on regional innovation capabilities is of great significance for promoting China's high-quality economic development. This paper introduces the level of innovation collaborative agglomeration into the C-H production density model to theoretically explain the mechanism of the influence of innovation collaborative agglomeration on regional innovation capacity. On this basis, using the 2011–2017 Chinese subprovincial panel data to measure the level of regional innovation collaborative agglomeration and establishing a spatial model, the impact of innovation collaborative agglomeration on regional innovation capacity is empirically examined in two stages: knowledge innovation and outcome transformation. The study finds that the innovation collaborative agglomeration and the regional innovation capacity present a typical inverted U-shape relationship, while the human capital and the regional innovation capacity present an inverted N-shape relationship in the stage of knowledge innovation. There is a U-shaped relationship between the innovation collaborative agglomeration and the regional innovation capacity in the outcome transformation stage, while the impact of human capital on regional innovation capacity is not obvious. This result is still robust after replacing the core explanatory variables and the spatial weight matrix. In terms of three regions, the innovation collaborative agglomeration and the human capital in the middle and eastern regions have a stronger impact on regional innovation capacity than in the western region. The findings of this paper provide policy insights for the innovation collaborative agglomeration of industry, university, and research institution to promote regional innovation capacity.

scholarly journals ІННОВАЦІЙНИЙ ПОТЕНЦІАЛ СТРАТЕГІЧНОГО РОЗВИТКУ РЕГІОНУ: СУТНІСТЬ ТА СКЛАДОВІ

2020 ◽  
Vol 145 (2) ◽  
pp. 85-93
Author(s):  
Вікторія В. Готра ◽  
Марія І. Ігнатко
Keyword(s):  
Deductive Reasoning ◽  
Innovation Policy ◽  
Structural Elements ◽  
Regional Innovation ◽  
Financial Investment ◽  
Factors Affecting ◽  
Innovation Potential ◽  
Theoretical Approaches ◽  
Research Findings ◽  
Innovation Capacity

The issues of innovation-driven development are becoming more and more common in scientific and practical domains, since innovation is a core source of economic growth and a pathway to gain competitive advantages. The above triggers the need to explore the innovation potential as the backbone of innovative activity at the national as well as at the regional levels. It is argued that innovation policy should ensure the implementation of regional strategic goals subject to available resources, whereas regional innovation potential contributes to its socioeconomic, scientific and technical growth as well as enhances product competitiveness. The purpose of this article is to provide insights into theoretical approaches and reveal the essence of the ‘regional innovation potential’ concept. The research findings have identified specific features of regional innovation potential and its key structural elements. An emphasis is put on the sources of innovative development at the regional level. The study explores the functions of regional innovation potential along with the factors affecting its growth. An algorithm for assessing the current state of regional innovation potential and making a decision as to its further strategic development has been provided. A range of research methods have been employed to attain the study objectives, in particular, the systemic method, inductive and deductive reasoning, graphic and tabular methods, etc. The developed algorithm for assessing the innovation potential has great practical implications in evaluating the regional innovation capacity. The research displayed the lack of unanimity in scholars’ approaches to interpreting regional innovation potential and its structural elements. This category is viewed as a set of resources and as the ability to utilize these resources. The elements of the regional innovation potential involve market, information, financial, investment, production, research, marketing and human resources.

scholarly journals Studying the Factors Affecting the Generation of Human Capital in the Russian Federation

2018 ◽  
Vol 8 (2) ◽  
pp. 94-105 ◽  
Author(s):  
E.  A. Prishlyak ◽  
S.  G. Rad’ko
Keyword(s):  
Human Capital ◽  
Russian Federation ◽  
Institutional Environment ◽  
Capital Formation ◽  
Federal State ◽  
Human Capital Formation ◽  
Factors Affecting ◽  
Number Of Patients ◽  
The Russian Federation ◽  
Integral Assessment

The key parameter that determines the competitiveness of modern organizations, regions, countries and individuals is the level of formed and accumulated human capital as an integral assessment of the investment result in the stock of knowledge, skills, physical health, innovative potential. In recent years, the study of trends in the formation and effective use of human capital in the Russian economy has become particularly relevant in complex studies. The purpose of this study is analysis of the factors affecting the human capital formation in the Russian Federation. The study methods include statistical and dynamic analysis, synthesis. The information and empirical base of the study included the materials of the Federal State Statistics service, analytical materials of research institutes, materials of the Russian Longitudinal Monitoring Survey Higher School of Economics (RLMS-HSE). As a result, there were revealed the quantitative characteristics of the human capital of the Russian Federation, necessary for the analysis and determination of effective actions aimed at the formation of human capital in the Russian environment, taking into account the sectoral and regional characteristics of the competitiveness of personnel, enterprises, industries, regions. Furthermore, the identification of the institutional environment factors that determine significant long-term changes in the quality of human capital was carried. The analytical study of the main factors of human capital formation identified the key problems of the process: the reduction of the natural population growth level, the population health (the increase in the number of patients with serious socially significant diseases), the low level of organization innovative activity and insufficient funding for research and development, sectoral and territorial differentiation in payment for labour and as a consequence the unbalanced distribution of labour resources. 

scholarly journals The Interregional Migration of Human Capital: The Case of “First-Class” University Graduates in China

2021 ◽  
Author(s):  
Can Cui ◽  
Yifan Wang ◽  
Qiang Wang
Keyword(s):  
Human Capital ◽  
Regional Development ◽  
Negative Binomial ◽  
Driving Forces ◽  
University Graduates ◽  
Highly Educated ◽  
Positive Effects ◽  
Urban Amenities ◽  
Second Tier ◽  
The University

AbstractHuman capital has been acknowledged as a key driver for innovation, thereby promoting regional economic development in the knowledge era. University graduates from China’s “first-class” universities—the top 42 universities, included in the “double first-class” initiative, are considered highly educated human capital. Their migration patterns will exert profound impacts on regional development in China, however, little is known about the migration of these elite university graduates and its underlying driving forces. Using data from the 2018 Graduate Employment Reports, this study reveals that the uneven distribution of “first-class” universities and regional differentials largely shaped the migration of graduates from the university to work. Graduates were found aggregating in eastern first-tier cities, even though appealing talent-orientated policies aimed at attracting human capital had been launched in recent years by second-tier cities. Employing negative binomial models, this study investigates how the characteristics of the city of university and destinations affect the intensity of flows of graduates between them. The results showed that both jobs and urban amenities in the university city and destination city exert impacts on the inflow volume of graduates; whereas talent attraction policies introduced by many second-tier cities are found not to exert positive effects on attracting “first-class” university graduates presently. The trend of human capital migration worth a follow-up investigation, particularly given ongoing policy dynamics, and would shed light on the regional development disparities in China.

Human Capital Spillovers and Regional Development

2015 ◽  
Author(s):  
Marcos Sanso-Navarro ◽  
Marra Vera-Cabello ◽  
Domingo P. Ximmnez-de-Embbn
Keyword(s):  
Human Capital ◽  
Regional Development

scholarly journals Analysis of the Factors Affecting the Choice of Information Systems by Economic Subjects of Russian Federation

2018 ◽  
pp. 46-51
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Information And Communication Technologies ◽  
Economic Security ◽  
Public And Private ◽  
Factors Affecting ◽  
Balanced Development ◽  
Technology Centers ◽  
Information And Communication ◽  
Regions Of Russia

The paper shows the relevance of studying the factors taken into account when choosing automation tools and information systems by enterprises of different activities in different regions of Russia. The growing pace of technological change requires a balanced development of information technology in different regions in order to maintain the flexibility of the entire system and ensure the economic security of the country. The choice of information systems in the public and private sectors of the economy is different. The presence of significant geographical disproportions in the distribution of costs for information technology in the regions of Russia is revealed. Classification of the factors influencing the decision-making on the choice of information systems is carried out. The necessary conditions for the creation and successful development of information technology centers have been identified; those conditions include the availability of free resources for electricity generation, a developed research and educational center and the human resources potential of the territory in the field of ICT (Information and Communication Technologies). Partially identified imbalances are associated with the multistructural nature of the Russian economy and with territorial expanse; they are objective in nature and are subject to adjustment. The expediency of creation of interregional system involving cooperation ties with the purpose to develop information technology centers in different regions of Russia is shown.

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