ASSESSMENT OF INFLUENCE OF HUMAN CAPITAL ON VOLUMES OF INVESTMENTS IN MAJOR CAPITAL IN RUSSIAN REGIONS

This paper explores the relationship between the accumulation of human capital in the regions of Russia and the volume of foreign direct investment, as well as the volume of domestic investment in fixed capital. This topic is little studied in Russian economic literature, although it is actively discussed by modern economists in other countries. The hypothesis about the existence of a positive relationship between the accumulation of physical and human capital in the Russian economy is tested. The apparatus of production functions, correlation and regression analysis are used to statistically check the degree of influence of human capital on the intensity of investments, both domestic and foreign. To measure human capital, both natural and monetary measures were used. The presence of a positive, stable and statistically significant relationship between the human capital accumulated in the regions and the intensity of investment processes is shown. A negative relationship between the density of employment and the volume of investment in fixed assets of the Russian regions was also revealed.

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Approaches to Evaluation of Investment Attractiveness of a Region's Innovative Ecosystem

Interactive science ◽

10.21661/r-530492 ◽

2020 ◽

pp. 41-44

Author(s):

Elizaveta Sergeevna Panina

Keyword(s):

Human Capital ◽

Regression Model ◽

Annual Number ◽

Favorable Environment ◽

Fixed Assets ◽

Main Factors ◽

Investment In Fixed Assets ◽

The Relationship ◽

Average Annual Number

The article outlines the theoretical aspects of the innovative ecosytem concept. The main factors that form a favorable environment for the development of ecosystems in the region are identified. Based on the correlation-regression model, the relationship between the region's investment attractiveness and the human capital is established. The estimated cost of investment in fixed assets and the average annual number of employees for ecosystems in the Yaroslavl region have been considered.

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Changes in the Impact of New Technologies and Human Capital on the Contribution of New Ways to the Russian Economy During the Crisis Period

Scientific Research and Development Economics ◽

10.12737/article_598169d061e5d5.04772080 ◽

2017 ◽

Vol 5 (4) ◽

pp. 27-30 ◽

Cited By ~ 1

Author(s):

Наталия Левкина ◽

Nataliya Levkina ◽

Леонид Басовский ◽

Leonid Basovskiy ◽

Елена Басовская ◽

...

Keyword(s):

Human Capital ◽

New Technologies ◽

Federal District ◽

Gdp Per Capita ◽

Russian Regions ◽

Russian Economy ◽

Fixed Assets ◽

New Business ◽

Per Capita ◽

The Impact

Estimates of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the new technologies estimated by capital-labor ratioof work by new fixed assets and on the use of the human capital estimated by a share of busy workers with the higher education during an economic crisis are received. The received results allow estimating the change of efficiency of use of new technologies and the human capital in the country and in regions of Central Federal District during the crisis. In the majority of regions, it corresponds with all-Russian tendencies. However, in several regions elasticity of the contribution of the human capital has not decreased. These are Kaluga, Kostroma, Yaroslavl regions. Elasticity of the contribution of the human capital to GRP provided with new technological ways the Voronezh, Ryazan, Tula regions has significantly increased. In the same regions elasticity of the contribution of new business assets has decreased less considerably, than on average on the Russian regions. Identification of the reasons of this phenomenon demands an additional research.

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FDI and economic growth: empirical evidence from Pakistan

Journal of Economic and Administrative Sciences ◽

10.1108/jeas-12-2014-0035 ◽

2016 ◽

Vol 32 (1) ◽

pp. 63-76 ◽

Cited By ~ 7

Author(s):

Naqeeb Ur Rehman

Keyword(s):

Economic Growth ◽

Time Series ◽

Human Capital ◽

Time Series Data ◽

Negative Relationship ◽

Series Data ◽

Literacy Rate ◽

Content Type ◽

Low Level ◽

The Relationship

Purpose – The purpose of this paper is to investigate the relationship between FDI and economic growth. Two models have been used to analyse the time series data on Pakistan from 1970 to 2012. This paper contributes to the existing literature by examining the different empirical methods to estimate the relationship between FDI and economic growth. The vector error correction model (VECM) results suggest that FDI depends on the economic growth but this relationship is not true vice versa. The second model showed that FDI, human capital and exports are important factors of economic growth. However, the negative relationship between interactive variables (FDI and human capital) and economic growth indicates that low level of human capital affect the economic growth of Pakistan. Design/methodology/approach – Used time series data (1970-2012) for empirical analysis. Findings – The VECM results suggest that FDI depends on the economic growth but this relationship is not true vice versa. The second model showed that FDI, human capital and exports are important factors of economic growth. However, the negative relationship between interactive variables (FDI and human capital) and economic growth indicates that low level of human capital affect the economic growth of Pakistan. Research limitations/implications – The limitations of this empirical paper are as follows: it would be better to use secondary school enrolment (per cent) to measure human capital instead adult literacy rate. Similarly, the non-availability of R & D data on Pakistan limited the scope of the paper to measure the role of absorptive capacity of domestic and its relationship with FDI. The results of this paper are specifically related to Pakistan and cannot be generalized to other countries. Practical implications – This empirical study implies that Pakistan should improve its economic growth. The robust policies are required to increase the literacy rate of the country. Higher human capital will attract more FDI into the economy and may reduce the unemployment. This would increase the national output of the country and their national income level. Presently, Pakistan is going through war on terror and foreign firms are reluctant to invest. A stable and secure business environment will ultimately inject foreign direct investment into Pakistan. Originality/value – This paper is first time analyse the time series data to explore the relationship between FDI and economic growth. A new approach has been used called VECM.

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Foreign Aid, Domestic Savings and Economic Growth (Pakistan: 1960 to 1988)

The Pakistan Development Review ◽

10.30541/v32i4iipp.1157-1167 ◽

1993 ◽

Vol 32 (4II) ◽

pp. 1157-1167 ◽

Cited By ~ 4

Author(s):

Naheed Zia Khan ◽

Eric Rahim

Keyword(s):

Economic Growth ◽

Foreign Aid ◽

Negative Relationship ◽

Causal Chain ◽

Domestic Investment ◽

Quantitative Evidence ◽

Explanatory Variables ◽

Savings Rate ◽

Domestic Savings ◽

The Relationship

One of the core tenets of foreign aid theory, particularly as encapsulated in the two-gap model, is that the insertion of foreign resources via free grants, loans, direct investment etc., into a developing economy sets in motion a causal chain of positive influences in the following broad mannerl: aid' ~ increase in investible resources ~ increase in domestic investment ~ more rapid rate of economic growth. Spirited and specific challenges to this approach came from many critics, supported greatly by a number of broad theoreticaF and empirical analyses. For a large part of the latter, the available evidence pointed to a negative relationship between aid and domestic savings. The evidence was largely based on crosssectional data, 'showing that, there was, in addition, reason to suggest a negative relationship between aid and economic growth. 3 The aim of this study is to provide some quantitative evidence on the relationship between foreign aid, domestic savings and economic growth for Pakistan. The analysis is carried out in three parts. Part one contains the methodology and the description of the data. Part two explores the correlation between aid and several other explanatory variables with Pakistan's savings rate, while part three attempts to analyse and explain the regression findings in terms of the effect of aid on economic growth.

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Profit Margin And Capital Structure: An Empirical Relationship

Journal of Applied Business Research (JABR) ◽

10.19030/jabr.v18i2.2118 ◽

2011 ◽

Vol 18 (2) ◽

Cited By ~ 17

Author(s):

Nikolaos P. Eriotis ◽

Zoe Frangouli ◽

Zoe Ventoura-Neokosmides

Keyword(s):

Panel Data ◽

Capital Structure ◽

Market Power ◽

Empirical Relationship ◽

Font Size ◽

Fixed Assets ◽

Equity Ratio ◽

Strategic Variable ◽

Investment In Fixed Assets ◽

The Relationship

This study constitutes an attempt to investigate the relationship between debt-to equity ratio and firm’s profitability, taking into consideration the level of firms’ investment and the degree of market power.  The study uses panel data for various industries, covering the period 1995-96.  The main conclusions of our study are: a) firms which prefer to finance their investment activities through self-finance are more profitable than firms which finance investment through borrowed capital; b) firms prefer competing with each other than cooperating; c) firms use their investment in fixed assets as a strategic variable to affect profitability.

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The influence of silviculture investment in fixed assets on forest water conservation in China

Water Quality Research Journal ◽

10.2166/wcc.2018.200 ◽

2018 ◽

Vol 54 (3) ◽

pp. 220-229

Author(s):

Zhang Ying ◽

Aijun Yi ◽

Lan Fang

Keyword(s):

Water Conservation ◽

Observation Data ◽

Affecting Factors ◽

Development Level ◽

Fixed Assets ◽

Network Observation ◽

Forest Coverage ◽

Investment In Fixed Assets ◽

First Time ◽

The Relationship

Abstract Forests play an important role in water conservation. It is important to study the relationship between forest water conservation (FWC) and forestry investment. Based on official statistics and ecological network observation data in China from 1999 to 2013, this paper for the first time uses correlation analysis and regression analysis methods to analyze the relationship between FWC and forest silviculture investment in fixed assets (FSIFA). Results show that FWC and FSIFA have a strong correlation and a strong influence, correlation coefficient is around 0.96. The amount of annual forest water conservation is increased with an increase in investment in fixed assets. The study also found that FSIFA affecting annual FWC lags more than 1 year, showing that FSIFA cannot play a role in water conservation immediately. The research also discussed other affecting factors on FWC, such as forest coverage rate, economic development level and forest quality improvement, etc. Their effects were also found to lag 1–5 years. Finally, the paper predicts the amount of annual FWC from 2014 to 2020 and gives some suggestions to strengthen investment in forest fixed assets and improve management of forest resources so as to promote the development of benefits of FWC.

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An Empirical Analysis of the Factors Influencing the Development of Insurance Industry in China

SAGE Open ◽

10.1177/2158244020971593 ◽

2020 ◽

Vol 10 (4) ◽

pp. 215824402097159

Author(s):

Ting Li ◽

Menggang Li

Keyword(s):

Empirical Analysis ◽

Insurance Industry ◽

Robustness Analysis ◽

Climate Index ◽

Financial Openness ◽

Economic Climate ◽

Fixed Assets ◽

Major Factors ◽

Investment In Fixed Assets ◽

The Relationship

This article analyzes the relationship between inflation, increase of investment in fixed assets, monetary policy, financial openness, national savings, macro-economic climate index, deposit rate, and the development of insurance industry in China. We set the incremental indicators as the variables and constructed an analysis integrating a multiple linear regression, stepwise regression, and robustness analysis, and used historical monthly data sample during the period of January 2004 to December 2017 for empirical analysis. The result indicates that (a) the national savings and macro-economic climate index are the major factors that influence the development of insurance industry in China by now; (b) to improve the development of insurance industry, both the economic growth and people’s income should continue to advance; and (c) financial openness should be paid more attention to, which is insufficient, and there is lack of competitive vitality in the whole insurance market.

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Examining the Relationship between the Fear of COVID-19, Resilience and Religion

International Journal of Psychology and Educational Studies ◽

10.52380/ijpes.2021.8.3.499 ◽

2021 ◽

Vol 8 (3) ◽

pp. 180-192

Author(s):

Yunus ALTUNDAĞ ◽

Sümeyye ALTUNDAĞ

Keyword(s):

Positive Relationship ◽

Personal Information ◽

Negative Relationship ◽

T Test ◽

Test Results ◽

Correlation And Regression Analysis ◽

Global Pandemic ◽

Resilience Scale ◽

Relationship Of ◽

The Relationship

The relationship of fear of COVID-19, resilience, and religiosity in the COVID-19 Global Pandemic, which affects life in many areas of psychological, social, economic, cultural, religious, has been examined in this study. In this study, 337 people, including 219 women (65%) and 118 men (35%), participated. The present research was a descriptively based quantitative study based on the relational survey model. COVID-19 Fear Scale, Brief Resilience Scale and Religiosity Scale were used to collect data. In addition, a Personal Information Form was used to obtain information and opinions about COVID-19 and determine demographic characteristics. The t-test, correlation and regression analysis were used in statistical processes. The findings obtained in this research showed that women have more fear of COVID-19 than men, and men have higher resilience and religiosity scores than women. In addition, it was observed that there was a significant and negative relationship between the fear of COVID-19 and resilience, religiosity and age, a significant and positive relationship between resilience and religiosity and age, and a significant and positive relationship between religiosity and age. Finally, it was found that resilience, religiosity and age together were predictors of COVID-19 fear. However, when looking at the t-test results of the significance of the regression coefficients, it was seen that only resilience was a significant predictor of COVID-19 fear. The findings obtained are discussed in light of the literature.

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Managerial ability and intellectual capital disclosure

Asian Review of Accounting ◽

10.1108/ara-11-2020-0180 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Javad Rajabalizadeh ◽

Javad Oradi

Keyword(s):

Human Capital ◽

Intellectual Capital ◽

Audit Committee ◽

Negative Relationship ◽

Relational Capital ◽

Alternative Measure ◽

Managerial Ability ◽

Content Type ◽

Structural Capital ◽

The Relationship

PurposeWhile prior research in the area of intellectual capital (IC) disclosure has mainly focused on firm, board and audit committee characteristics, there is little research on whether managerial characteristics are associated with IC disclosure. This study aims to examine the relationship between managerial ability (MA) and the extent of IC disclosure.Design/methodology/approachThe study sample comprises 1,098 firm-year observations of Iranian listed firms during 2012–2017. This study uses the checklist developed by Li et al. (2008) and adopts a content analysis approach and calculates the IC disclosure index in 62 dimensions within three categories: human capital, structural capital and relational capital. To measure MA, this study uses the managerial ability score (MA-Score) developed by Demerjian et al. (2012) for Iranian firms.FindingsThe results show that MA is significantly and negatively associated with the overall extent of IC disclosure and all the three components of IC (human capital, structural capital and relational capital). Further analysis shows that the interaction between MA and firm performance is positive and significant, suggesting that the negative relationship between MA and IC disclosure is less pronounced for high-performing firms. This study addresses the potential endogeneity issue by using the propensity score matching approach. The findings are also robust to the alternative measure of MA.Originality/valueThis study contributes to both the MA literature and the IC disclosure literature. To the best of the authors' knowledge, this study is the first to provide empirical evidence on the relationship between MA and IC disclosure.

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Is Russia Rationally Developing its Small and Medium-Sized Enterprises? An Analysis of Regional Production Functions

Zagreb International Review of Economics and Business ◽

10.2478/zireb-2018-0013 ◽

2018 ◽

Vol 21 (2) ◽

pp. 37-48

Author(s):

Pinkovetskaia Iuliia ◽

Ginzburg Maria

Keyword(s):

Development Strategy ◽

Point Of View ◽

Production Functions ◽

Russian Economy ◽

Fixed Assets ◽

Wage Regression ◽

The Russian Federation ◽

Total Observation ◽

Investment In Fixed Assets

Abstract The purpose of this study was to examine if it makes sense to further stimulate the development of small and medium-sized businesses in Russia by the State. For this purpose, the authors formulated the following hypotheses: production functions can be used to explore opportunities to promote SMEs in Russia (hypothesis 1). However, if the values of degrees of factors are positive, it can be argued that SMEs development can be achieved by State measures to facilitate an increase in labour costs and investment in fixed assets of SMEs (hypothesis 2). To check formulated hypotheses we have developed production functions, which reflect dependences between SMEs turnover from investments in fixed assets and employees wage. Regression analysis was used to determine the parameters of production functions. While conducting calculations, we used the data of total observation of SMEs activities, provided by the Federal Statistical Service in 83 regions of the Russian Federation for the year 2015. Taking into consideration an important role of SMEs in Russian economy, the results of this research might help government bodies in resource distribution for particular regions and sectors of economy in these regions. From methodological point of view this research shows, that production functions might be used in Development Strategy of SMEs for the period of up to 2030, which establishes double production growth in SMEs.

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