Notice of Retraction: The mechanism analysis on the impact of the development of human capital in High-tech zone to the regional economy

2011 ◽  
Author(s):  
Liu Fei ◽  
Zhang Xiusheng
Keyword(s):  
Human Capital ◽  
Regional Economy ◽  
High Tech ◽  
Mechanism Analysis ◽  
The Impact

Organizational-economic mechanism of regional development of high-tech engineering

2018 ◽  
Vol 35 (2) ◽  
pp. 3-9
Author(s):  
M. S. Abrashkin
Keyword(s):  
Regional Development ◽  
Regional Economy ◽  
Machine Building ◽  
High Tech ◽  
Regional Competitiveness ◽  
Theoretical Justification ◽  
Economic Mechanism ◽  
The Impact

The article presents a study on the assessment of the impact of science-intensive machine building on the development of the regional economy and increasing its competitiveness. Based on the analysis of foreign sources, a theoretical justification was given for increasing the regional competitiveness of the economy. The tools of regional support of enterprises of science-intensive machine building and the model of the organizational and economic mechanism for regional development of science-intensive machine building were proposed. It has been proven that the development of science-intensive machine building influences the competitiveness of the region. 

Esperienza lavorativa dei fondatori e sopravvivenza delle giovani imprese high-tech in mercati in crisi

2009 ◽  
pp. 41-61
Author(s):  
Luca Grilli
Keyword(s):  
Human Capital ◽  
Work Experience ◽  
Firm Survival ◽  
Jel Classification ◽  
High Tech ◽  
Specific Work ◽  
Alternative Employment ◽  
Start Up ◽  
The One ◽  
The Impact

- This article adds new insights into the relationship between the founders' human capital and the survival prospects of start-up businesses. The impact of founders' human capital on firm survival is controversial. On the one hand, more experienced and skilled individuals are likely to create start-up businesses with a high chance of survival; on the other hand, their opportunity costs to run the firm may be high given the potential returns for investing their efforts in alternative employment opportunities. Analysing a sample of 179 Italian start-up companies created during 1995-early 2000 and operating in the ICT services markets, this study provides evidence that, in intense industry crises (early 2000-2003), highly work-experienced entrepreneurs may pursue an exit strategy, highlighting the importance of distinguishing between different types of work experience and different exit routes. In particular, founding teams with highly specific work experience show higher probability of following the M&A route, while a higher level of generic work experience is more conducive to closure. Keywords: high-tech entrepreneurship; young firm survival; founders' human capital Parole chiave: imprenditorialitŕ high-tech; sopravvivenza di giovani imprese; capitale umano degli imprenditori Jel Classification: L26 - L86

The impact of intellectual capital on SMEs’ performance in China

2019 ◽  
Vol 20 (4) ◽  
pp. 488-509 ◽  
Author(s):  
Jian Xu ◽  
Jingsuo Li
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Manufacturing Sector ◽  
Operating Efficiency ◽  
High Tech ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital ◽  
Capital Efficiency ◽  
The Impact

Purpose The purpose of this paper is to explore and compare the extent of intellectual capital (IC) and its four components in high-tech and non-high-tech small and medium-sized enterprises (SMEs) operating in China’s manufacturing sector, and to examine the relationship between IC and the performance of high-tech and non-high-tech SMEs. Design/methodology/approach The study uses the data of 116 high-tech SMEs and 380 non-high-tech SMEs listed on the Shenzhen stock exchanges during 2012–2016. The modified value added intellectual coefficient (MVAIC) model is used incorporating four components, namely, capital employed, human capital, structural capital and relational capital. Finally, multiple regression analysis is utilized to test the proposed research hypotheses. Findings The findings of this paper reveal that there is significant difference in MVAIC between high-tech and non-high-tech SMEs. The results further indicate a positive relationship between IC and financial performance of high-tech and non-high-tech SMEs. Specifically, IC is positively associated with firms’ earnings, profitability and operating efficiency. Additionally, capital employed efficiency, human capital efficiency and structural capital efficiency are found to be the most influential value drivers for the performance of two types of SMEs while relational capital efficiency possesses less importance. Practical implications This paper will provide a valuable framework for executives, managers and policy makers in managing IC within the Chinese context. Originality/value To the best knowledge of the authors, this is the first empirical study that has been conducted on high-tech and non-high-tech SMEs in the manufacturing sector in China.

scholarly journals The Impact of Digitalization on the Formation of Human Capital at the Regional Level

2020 ◽  
Vol 6 (4) ◽  
pp. 184
Author(s):  
Olga Zaborovskaia ◽  
Olga Nadezhina ◽  
Ekaterina Avduevskaya
Keyword(s):  
Human Capital ◽  
Russian Federation ◽  
Fixed Effects ◽  
Ordinary Least Squares ◽  
High Tech ◽  
Municipal Services ◽  
Digital Inequality ◽  
The Russian Federation ◽  
The Individual ◽  
The Impact

Human capital becomes the most competitive and unique resource in the modern context of development of high-tech industries and formation of the digital economy. The ongoing digitalization processes have an impact on the formation and development of human capital. The aim of this work is to analyze the influence of digitalization factors on human capital in the regions of the Russian Federation. Based on statistical data from the State statistics service of the Russian Federation, the authors collected data for calculating the Index of conditions for the formation and development of human capital (CFDHC Index) for 82 regions and 34 factors that characterize the development of digitalization in Russia for the period from 2014 to 2018. The authors construct a multivariate regression using the ordinary least squares (OLS) estimation for describing the relationship between the Index and digitalization factors. With allowance for the individual effects of the regions of the Russian Federation, models with random and fixed effects were built. The results of the regression analysis confirmed the hypothesis that to form and develop human capital in the regions, measures should be taken aiming at developing digital infrastructure, reducing digital inequality, supporting higher education and research institutes, developing electronic services to provide public and municipal services.

scholarly journals The Relationship Between Human Capital and the Regional Economy Productivity

JEJAK ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 138-152
Author(s):  
Hendarmin Hendarmin ◽  
Metasari Kartika
Keyword(s):  
Human Capital ◽  
Panel Data ◽  
Capital Investment ◽  
Regional Economy ◽  
Random Effect ◽  
Study Finding ◽  
Physical Capital ◽  
Productivity Level ◽  
Economic Productivity ◽  
The Impact

The aim of this study is to measure the impact of the human capital on the economic productivity level in provinces of Kalimantan Island. The data used in this study was a panel data from 5 provinces in Kalimantan Island within 2013-2017 time periods which its study finding was analyzed using panel data regression analysis with random effect approach. The study finding explains that the human capital, measured by the education level which is the average of years of education, the health level which is life expectancy and investment has a positive effect on the productivity level of the regional economy. The analysis result also shows that the health variable has a bigger magnitude compared to the education and physical capital investment variables. Based on the result, it can be concluded that the effect of human capital is very important in increasing economic productivity in the region.

scholarly journals SOCIAL CYCLE AS A RESULT OF TRANSFORMATION OF PRODUCTION STRUCTURE OF SOCIAL AND ECONOMIC SYSTEM

2018 ◽  
pp. 27-35
Author(s):  
Elena Valerievna Bazueva
Keyword(s):  
Human Capital ◽  
Labor Market ◽  
Economic System ◽  
Social Inequality ◽  
Social Effects ◽  
High Tech ◽  
Social Changes ◽  
Skilled Workers ◽  
Russian Economy ◽  
The Impact

The range of modern studies which are devoted to the impact of fluctuations in economic dynamics on selected social indicators is divided into different branches of scientific knowledge. The article focuses on a complex research of the social cycle features as a factor and a result of progressive changes in the production component of the socio-economic system. In terms of the developing provisions of the recurrent approach, a social cycle is interpreted as a cycle resulting in transformation processes in the modern macroeconomic cycle and reflecting social changes in the economy and society as a whole. There has been analyzed the impact of changes in the structure of production on transformation of the type of population reproduction, on parameters of the labor market, on increasing social inequality. It has been stated that the digitalization of the Russian economy is accompanied by contradictory social changes in the economy and society as a whole. Positive social changes include the transition from the formula of quantitative increase of human capital to its qualitative improvement, beginning of the process of workers' labor movement towards high-tech activities with automated technological processes, the prospect of replacing health-cost production technologies by life-saving technologies, as a result of production assets the renovation. The negative social effects there have been identified the increase in the incidence due to the unstable dynamics of the mortality rate, imbalance of changes in supply and demand in the Russian labor market, rising unemployment rates, increasing social inequality amid growth of differentiation in wages between low-and high-skilled workers, the growth of secondary inequality in families as a result of unequal access to methods of formation and use of human capital in the highly educated and low-educated part of the Russian population. It has been inferred that digitalization of the Russian economy is dominated by negative social effects as a result of ignoring the account of the complex of cause-and-effect relations between the main components of modern macroeconomic processes.

scholarly journals The Impact of Intellectual Capital Efficiency on Corporate Sustainable Growth-Evidence from Smart Agriculture in China

Agriculture ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 199 ◽  
Author(s):  
Xin Long Xu ◽  
Hsing Hung Chen ◽  
Rong Rong Zhang
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Value Added ◽  
Sustainable Growth ◽  
High Tech ◽  
Significant Positive Effect ◽  
Management Tools ◽  
Capital Efficiency ◽  
The Impact ◽  
Positive Effect

In this paper, we expand the value-added intellectual coefficient (VAIC) model by constructing a comprehensive financial capital (FC) component. Human capital efficiency is subdivided into executive (EHCE) and nonexecutive human capital efficiency (NHCE). We have sampled listed agriculture companies (LAC) in China’s Shanghai and Shenzhen A-share markets from 2009 to 2018 and categorized them as high-tech (HTAC) and non-high-tech agriculture companies (NHTAC). We find that capital employed efficiency (CEE) and EHCE have a significant positive effect on corporate sustainable growth (CSG) of HTAC but no significant effect on CSG of NHTAC, while FC has a significant positive effect on both. These results suggest that companies, especially HTAC, should invest in human capital, and their executives and policymakers should develop effective knowledge management tools and begin accumulating the necessary intellectual capital to allow adaptation to their changing environment. In the spirit of the intellectual agriculture concept, we present some new ways to study the performance of agricultural companies using intellectual capital and offer suggestions that can help to modernize the industry.

scholarly journals The Dynamic Value of China’s High-Tech Zones: Direct and Indirect Influence on Urban Ecological Innovation

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 59
Author(s):  
Siying Yang ◽  
Wei Liu ◽  
Zhe Zhang
Keyword(s):  
Industrial Development ◽  
Spillover Effect ◽  
Double Difference ◽  
High Tech ◽  
Mechanism Analysis ◽  
Innovation Activities ◽  
Effect Model ◽  
Ecological Innovation ◽  
Economic Innovation ◽  
The Impact

China’s High-tech Industrial Development Zones (HTZ) are industrial agglomeration areas established by the local government to foster economic innovation. As springboards for cities to implement innovation-driven development strategies, HTZs have significant spillover and driving effects on urban ecological innovation. Based on panel data taken from 215 cities between 2003 and 2016, this paper empirically analyzes the impact of HTZ construction and its mechanisms as they pertain to urban ecological innovation. This analysis is framed by the double difference model and the intermediary effect model. It found that HTZ construction can effectively enhance urban ecological innovation, and formidably promote ecological innovation in central and eastern cities, as well as cities with superior scientific and educational resources. The intermediary mechanism analysis revealed that HTZs result in a policy depression effect, which may promote the agglomeration of urban innovation factors (including high-quality talents and investment), thereby bolstering urban ecological innovation. Moreover, HTZs’ investment agglomeration effect is primarily responsible for driving urban ecological innovation. Indeed, the HTZ construction may not only promote the local ecological innovation, but also have a significant spillover effect on the ecological innovation activities of other cities in the province.

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