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.

Human Capital Impact on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 15-22
Author(s):  
Chuwuemeka Ogugua AGBO ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Private Investment ◽  
Series Data ◽  
Tertiary Institutions ◽  
Explanatory Variables ◽  
The Government ◽  
The Impact

This study aims to examine the impact of human capital on economic growth in Nigeria. Despite all effort to improve education condition in Nigeria, there hasn’t been much encouraging improvement. This has caused a large number of the population to move abroad for studies. Most conducive tertiary institutions are owned by private individuals, the government owned universities have been overlooked and recklessly abandoned. In this study OLS multiple regression was adopted to analyze the time series data for the period of 1985-2018 to test if Average Year of Schooling (AVYS), Private Investment in Telecommunication (PIT), Capital Expenditure on Education (CEE), and Recurrent Expenditure on Education (REE) have an impact on growth in Nigeria or not. The data was derived from CBN statistical Bulletin (2018). Result showed that all the four explanatory variables have significant impact on Economic growth. However, it is therefore important for government to increase education budget annually.

An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway

2019 ◽  
Vol 7 (2) ◽  
pp. 99-114 ◽  
Author(s):  
Yun Zhao ◽  
Chongren Bi
Keyword(s):  
Simulation Model ◽  
Labor Migration ◽  
Migration Rate ◽  
High Speed ◽  
Innovation System ◽  
Knowledge Spillover ◽  
Regional Innovation ◽  
High Speed Railway ◽  
Knowledge Innovation ◽  
The Impact

Abstract The calculation for the influence of high-speed railway on knowledge spillover is based on the results of global instantaneous equilibrium in the mechanism explanation of knowledge spillover. In real production, the interaction between the high-speed railway and the regional innovation system is dynamic and local. In order to simulate the impact of high-speed railway on innovation activities in the time dimension, it is necessary to simulate scenarios under appropriate parameter assumptions. Based on the interaction of economic participants, a discrete evolutionary simulation model is established, which is helpful to predict and estimate the evolution of spatial effect of high-speed railway according to the theory of cellular automata. It is concluded that high-speed railway accelerates the formation of knowledge innovation industry cluster in the region in the process of regional knowledge innovation and evolution. Under the influence of high-speed railway, the node city will gradually evolve into a regional innovation center. By comparing the production evolution of knowledge innovation system with and without high-speed railway, the results show that high-speed railway has a more significant impact on knowledge spillover in higher knowledge privatization environment. Under the background of low labor migration rate, high-speed railway has increased the potential of regional innovation to external knowledge spillover. In the case of higher labor migration rate, the convergence rate of influence of high-speed railway on the concentration of innovation is faster.

scholarly journals How Does Regional Innovation Capacity Affect the Green Growth Performance? Empirical Evidence from China

2019 ◽  
Vol 11 (18) ◽  
pp. 5084 ◽  
Author(s):  
Hu ◽  
Liu ◽  
Li ◽  
Lin
Keyword(s):  
Growth Performance ◽  
Regional Differences ◽  
Relative Effectiveness ◽  
Practical Significance ◽  
Eastern Region ◽  
Green Growth ◽  
Regional Innovation ◽  
Institution Innovation ◽  
Coordination Effect ◽  
Innovation Capacity

Behind the high development of technology, backward institution systems and imperfect incentive mechanisms are not conducive to the green transformation of the economic society in China. Meanwhile, the relative effectiveness of both technical and institution innovation in encouraging green growth has yet to be tested empirically in China. It is of great practical significance to assess the effect of regional innovation capacity (RIC) on the green growth performance. This paper firstly exploits a model to measure regional innovation capacity from the perspective of technological and institutional respect. The panel data of 30 provinces in China during 2008–2017 is then used to examine the coordination effect of technological and institutional instruments on green growth performance. The empirical results demonstrate the following: (i) regional innovation capacity significantly affects the green growth performance of 30 provinces in China, showing regional differences. The elasticity of RIC on the green total factor efficiency in the eastern region is larger at approximately 0.48, followed by central and western areas, at about 0.47 and 0.45, respectively; (ii) technological innovation is able to incentivize green growth performance for all regions in China, while the institutional innovation induces green growth in the eastern region only; (iii) the coordination of technical and institutional instruments has a significant effect on green growth performance, positive in the eastern region and negative in central region respectively.

scholarly journals How Do Workers Sustain COVID-induced Labour Market Shock: Evidence from the Indian State of Kerala

2021 ◽  
pp. 001946622110238
Author(s):  
Muhammed Refeque ◽  
P Azad ◽  
PK Sujathan
Keyword(s):  
Human Capital ◽  
Quantile Regression ◽  
Labour Market ◽  
Empirical Analysis ◽  
Jel Codes ◽  
Explanatory Variables ◽  
Regression Methods ◽  
Labour Market Participation ◽  
Indian State ◽  
The Impact

This article is an empirical analysis of the resilience of workers over the COVID-hit labour market in the Indian state of Kerala. Quantile regression methods are used to ascertain the impact of COVID-19 on the labour market. This method is more advantageous than the traditional OLS method as it does not presume a constant effect of explanatory variables on the distribution of dependent variable. Evidences convey that all the five categories of workers under study were disproportionately buffeted by the pandemic. However, the factors education and experience were found to have a stabilising effect on the rate of labour market participation. The article pitches for a more responsive and responsible role that the State can deliver to embolden and reinforce human capital so that the pandemic like COVID-19 can at best be averted. JEL Codes: E24, H12, I15, J64

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.

Evolution of Innovation Cooperation Networks in the Marine Industry

2014 ◽  
Vol 496-500 ◽  
pp. 2884-2887
Author(s):  
Feng Xia Qiu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Research ◽  
Institution Innovation ◽  
Research Institution ◽  
Research Institutes ◽  
Marine Industry ◽  
Innovation Cooperation ◽  
Chinese Marine

This study aims to obtain the evolution of innovation cooperation by constructing and analysing patent cooperation networks for the field of Chinese marine industry. Total patents with universities, industries and research institutes are retrieved from SIPO patent database and patent networks are established by using social network analysis. Effects are found that firm-university-research institution innovation cooperation in the industry has been formed, but nodes have different cooperation preferences.

Intangible assets as possible indicators for the growth of the Hungarian firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Klára Katona
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Intangible Assets ◽  
Annual Reports ◽  
Labor Costs ◽  
Community Innovation Survey ◽  
Content Type ◽  
Explanatory Variables ◽  
Structural Capital ◽  
The Impact

Purpose Intellectual capital has become one of the most important factors in the knowledge economy. It is the combination of human capital and structural capital. The purpose of this paper is to examine the effect of intellectual capital, especially the effect of structural capital on the productivity of Hungarian firms between 2007 and 2017. Design/methodology/approach This paper analyzes the impact of intellectual capital on the output of the Hungarian firms in a fixed effect dynamic model, using the lagged dependent and explanatory variables method. This study is based on annual reports of Hungarian enterprises. Findings This study proved that intellectual capital was a relevant source of the effectiveness of the firms in Hungarian industry in the examined period, and structural capital had the strongest impact on productivity of the firms. Research limitations/implications The annual report as database nonetheless bears the specificity and the limitation of the model alike. Labor costs, the proxy for human capital can measure the level only indirectly. Intangible assets, the proxy for structural capital contain more items which are optional. Practical implications The results reflect that the internally developed knowledge became the most relevant source for Hungarian firms to increase their productivity, but externally generated innovation may offer further possible sources to boost their own efficiency. Originality/value Unlike the previous empirical research in Hungary the source of variables in this model is based on the data of annual reports. This database allows to examine a larger panel investigation for a longer period than those methods which collect data on a voluntary basis, e.g. Community Innovation Survey.

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