scholarly journals Understanding creative, information and knowledge determinants of the economic growth of the EU regions within smart development strategies

2021 ◽  
pp. 1295-1308 ◽  
Author(s):  
Taras Vasyltsiv ◽  
Olha Levytska ◽  
Ruslan Lupak ◽  
Oksana Gudzovata ◽  
Marta Kunytska-Iliash ◽  
...  
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Multivariate Regression Analysis ◽  
High Tech ◽  
Territorial Planning ◽  
Global Quality Of Life ◽  
Eu Regions ◽  
Smart Specialization ◽  
The Relationship ◽  
The Eu

The article substantiates the relevance and necessity of involving creativity, information and knowledge-based capital while forming and implementing the smart specialization policy of the EU regions. The scientific views on the relationship between the processes of economic growth, the use of creative, information and knowledge approaches, smart-oriented spatial and territorial planning are generalized. A new approach for assessing the creative, information and knowledge determinants of the EU regions’ economy transformations with the use of the multivariate regression analysis, a composite method, and strategic structural and functional design is developed. The scores of the sub-indices of the Global Innovation Index, the Global Talent Competitiveness Index and the World Digital Competitiveness Ranking are selected as the initial parameters of regression analysis. The relationships between these factors and the change in the GDP volume per capita, the share of GDP used for gross investment, high-tech exports, and the Global Quality of Life Index are revealed. The composite indicators of the concentration of creative and digital (ICT) industries in the EU regions are calculated (based on the level of enterprise concentration in an industry, the share of the employed in the field and the share of an industry in the regional economy in terms of wages). The priorities of smart specialization strategies of the EU’s individual regions, which are related to creative, information and knowledge factors, are identified. The calculations have confirmed sufficient closeness of the relationship between the use of creative, information and knowledge factors and the fulfillment of the tasks of smart specialization strategies in the EU regions. The sequence of the formation of tools and means for the implementation of the strategy of the regions’ smart specialization in the context of attraction and effective use of the determinants grouped by three directions (creativitization, digitalization and new knowledge) is presented.

Methods for analysis of creative, information and knowledge-based factors in the implementation of the smart specialization model in the EU regions

2020 ◽  
pp. 153-162
Author(s):  
Taras Vasyltsiv ◽  
Olha Levytska
Keyword(s):  
Economic Growth ◽  
Methodological Approach ◽  
Regional Level ◽  
Integral Index ◽  
Knowledge Based ◽  
Eu Regions ◽  
Technological Modernization ◽  
Smart Specialization ◽  
The Impact ◽  
The Eu

The aim of the article is to study the existing and find new approaches to the analysis of creative, information and knowledge-based factors that determine social transformations and economic growth of the EU regions based on smart specialization. The methodological approaches to the assessment of the implementation of creative, information and knowledge-based factors in the economy are studied. A comparative analysis of international and regional systems for evaluating creative, information and knowledge-based factors of economic growth is made. A system of indicators of the authors’ three-vector approach (by the directions: (1) intellectualization of economy, (2) digitalization of economy and society, (3) technological modernization) to the analysis of creative, information and knowledge-based factors in the realization of the smart specialization model at a regional level are developed. The developed authors’ technique allows providing a comprehensive approach to the analysis of creative, information and knowledge-based factors in terms of the smart specialization model at the regional level. The methodology involves three groups of indicators in the areas of intellectualization, digitalization, and technological modernization. The calculation of the integral index is carried out based on the method of multidimensional weighted value taking into account the degree of the weight of indicators and sub-indices (subgroups and groups of indicators). The scientific novelty of the study is that the integral index allows making important analytical conclusions about the level of development of creative, information and knowledge-based economy, as well as the correlation of these processes with the socio-economic development of regions. The methodological approach can be implemented in domestic practice for evaluating the impact of the use of creative, information and knowledge-based factors on the development of regional economies and, accordingly, for achieving the objectives of regional smart specialization strategies.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

scholarly journals PENGARUH HARGA MINYAK DUNIA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA (MODERASI VARIABEL MONETER)

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Wilda Novita Sari ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Oil Prices ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
The Exchange Rate ◽  
The Relationship

Abstract: The purpose of this research is to be able to determine the effect of world oil prices on economic growth in Indonesia by applying the exchange rate moderating variable and the BI rate as a connecting variable. Descriptive and associative research is a type of research that is used with data collection techniques through a trusted official agency website that is classified in the quarterly time series secondary data. The data year in this study was from 2006 to 2018. Data analysis was carried out through descriptive and inductive analysis with a Moderated Regression Analysis (MRA) data analysis tool accompanied by a classic assumption test and a t test. Estimation results show that there are two research results; firstly, that the exchange rate has an effect on moderating the relationship between world oil prices and economic growth in Indonesia, secondly, that the BI rate has no influence connecting world oil prices and economic growth in Indonesia. Keywords: World oil prices, economic growth, exchange rates, BI rate, Moderated Regression Analysis (MRA).

The Relationship Among Military Expenditure, High Technological Product Exports, and Economic Growth

2021 ◽  
pp. 624-645
Author(s):  
Sevgi Sezer
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Military Expenditure ◽  
Gdp Per Capita ◽  
High Tech ◽  
Industrialized Countries ◽  
G7 Countries ◽  
Causality Relationship ◽  
Per Capita ◽  
The Relationship

In this chapter, the effects of military expenditure (MEXP) on high-tech exports (HTX) and GDP per capita (GDPPC) of G7 and new industrialized countries (NIC) are analyzed for period 1988-2015 by panel data analysis. The causality relationships between the series are examined by Dumitrescu and Hurlin test. In G7 countries, one-way causality relationship from HTX to MEXP and two-way causality relationship between MEXP and GDPPC have been identified. Also, in NIC countries, two-way causality relationship between HTX and MEXP and one-way causality relationship from GDPPC to MEXP have been determined. Cointegration relations are tested by Pedroni test and the series are found to be cointegrated. It is seen that in the G7 countries, 1% increase in MEXP during the period of 1988-2015 increased HTX by 0.71% and GDPPC by 0.98%. In NIC countries, the 1% increase in MEXP increased HTX by 1.7% and GDPPC by 0.96%. The effect of MEXP on HTX is found much higher in NIC countries.

scholarly journals The Relationship between Resilience, Psychological Hardiness, Spiritual Intelligence, and Development of the Moral Judgement of the Female Students

2016 ◽  
Vol 12 (3) ◽  
pp. 170
Author(s):  
Kobra Darvishzadeh ◽  
Zahra Dasht Bozorgi
Keyword(s):  
Regression Analysis ◽  
High School Students ◽  
Data Analysis ◽  
Moral Judgment ◽  
Multivariate Regression Analysis ◽  
Female Students ◽  
Spiritual Intelligence ◽  
School Students ◽  
Psychological Hardiness ◽  
The Relationship

<p>This study aims to determine the relationship between resilience, psychological hardiness, spiritual intelligence, and development of the moral judgment of the female students in 2014. The research sample included 200 female high school students of District 2, Ahvaz-Iran in educational year of 2014-15 that were selected using the available sampling method. In this paper, for measuring the resilience, psychological hardiness, and spiritual intelligence, resilience scale, Ahvaz Hardiness questionnaire, and moral judgment questionnaire were used, respectively. For data analysis, in addition to the descriptive statistics, inferential statistical such as Pearson's correlation coefficient and multivariate regression analysis using the simultaneous method was used. Data analysis showed that there is a positive and significant relationship between the psychological hardiness, spiritual intelligence, and growth of the moral judgment. Moreover, results of the regression analysis showed that predictor variables are effective in clarifying the 0.41 of the variance of the spiritual intelligence development of the students. </p>

scholarly journals Does the national innovation system spur economic growth in Brazil, Russia, India, China and South Africa economies? Evidence from panel data

2018 ◽  
Vol 21 (1) ◽  
Author(s):  
Brima Sesay ◽  
Zhao Yulin ◽  
Fang Wang
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Panel Data ◽  
Emerging Economies ◽  
Innovation System ◽  
National Innovation System ◽  
High Tech ◽  
Potential Growth ◽  
Data Set ◽  
The Relationship

The question as to whether the national innovation system (NIS) plays a significant positive role in influencing economic growth has been intensely debated by academics as well as policy analysts. The main controversy, however, is the fact that the ongoing empirical evidences on the relationship between innovation and economic growth are still mixed. The aim of this paper is to provide further evidence on the relationship between the NIS and economic growth using consistent and reliable data from a sample of emerging economies (Brazil, Russia, India, China and South Africa [BRICS]). The research has a BRICS focus and constructs NIS using historical panel data set for the main variables, that is, university enrolment rate for science and engineering students, government research and development expenditure, high-tech export and the enclosure of control variables covering the period 2000Q1–2013Q4. The study employed a dynamic panel estimation technique with a view of evaluating the relative impact of the NIS on economic growth in BRICS. The results revealed that the NIS as a whole has a positive effect on economic growth in BRICS economies. An important policy implication emerging from this study is that extra efforts are needed by emerging economies to promote the development of a NIS so as to explore the potential growth-inducing effects of a well-functioning NIS. Consequently, findings from this study have offered some persuading indicators for BRICS economies to explore the development of a NIS as a potential opportunity to speed up their economic growth.

scholarly journals Road traffic fatalities in Qatar, Jordan and the UAE: estimates using regression analysis and the relationship with economic growth

2010 ◽  
Vol 16 (03) ◽  
pp. 318-323 ◽  
Author(s):  
A. Bener ◽  
S.J. Hussain ◽  
M.A. Al Malki ◽  
M.M. Shotar ◽  
M.F. Al Said ◽  
...  
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Road Traffic ◽  
Traffic Fatalities ◽  
The Relationship

scholarly journals Investigating the effect of social capital on delinquency of 15-to-19-year-old juveniles in shiraz

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Zinab Adelmand ◽  
Fatemeh Adelmand ◽  
Tahmineh Adelmand ◽  
Maryam Zarnaghash
Keyword(s):  
Social Capital ◽  
Regression Analysis ◽  
Life Style ◽  
Multivariate Regression ◽  
Religious Life ◽  
Multivariate Regression Analysis ◽  
Modern Life ◽  
Family Control ◽  
New Variables ◽  
The Relationship

<p>The aim of this study was to investigate the effect of social capital on 15-to-19-year-old juveniles’ delinquency. Regarding this objective, Yang internet addiction questionnaire (1996) was used to collect the data. This questionnaire contains 20questions classified in some groups. Results of Multivariate Regression Analysis for explaining delinquency indicate that among the variables selected in the analytical model of this study, 5 factors(religious life style, modern life style (friends network), family control, communications (the relationship between social capital and the groups), the respondents’ fathers’ income) have had a significant effect on delinquency and have remained in the equation. After entering these five variables, the entry of new variables have been stopped. In fact, these five variables totally explain 36/1% changes of the dependent variable (delinquency.</p><p> </p><p>Keywords: delinquency, Social Capital</p>

scholarly journals Impact of Firm Specific Factors on Credit Risk: A Case of Karachi Stock Exchange

2015 ◽  
Vol 54 ◽  
pp. 140-143
Author(s):  
Sajid Iqbal ◽  
Saima Nasir Chaudry ◽  
Nadeem Iqbal
Keyword(s):  
Regression Analysis ◽  
Credit Risk ◽  
Significant Relationship ◽  
Multivariate Regression ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Multivariate Regression Analysis ◽  
Specific Factors ◽  
Relationship Of ◽  
The Relationship

The current study aims to explore the relationship of firm’s specific factors i-e profitability, ROA, leverage and bank size on credit risk. The population of the study consists of manufacturing sector of Pakistan. The sample of study is cement sector of Pakistan. The sample units are 22 and listed at Karachi stocks exchange. The multivariate regression analysis is used to test the data of sample. The study revealed negative significant relationship of all firm specific factors with credit risk in Pakistan. Thus, the study supported historic investigations regarding credit risk.

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