scholarly journals Forecasting GDP based on the assessment of cyberspace development

2020 ◽  
Vol 164 ◽  
pp. 09019
Author(s):  
Malika Davliatova ◽  
Yuriy Starodubtsev ◽  
Olga Voronova ◽  
Gennady Starodubtsev
Keyword(s):  
Growth Rate ◽  
Statistical Relationship ◽  
Macroeconomic Variables ◽  
Fixed Assets ◽  
Technological Level ◽  
Scientific Significance ◽  
Investment In Fixed Assets ◽  
National Economies ◽  
The Relationship ◽  
Operational Assessment

The relevance of the topic is due to the fact that an operational assessment of the dynamics of the main macroeconomic variables, including GDP, is a prerequisite for an effective economic policy. This work substantiates the consideration of the technological level of development of cyberspace as a predictor of the current dynamics of GDP along with data from official statistics. The scientific significance of the study: the relationship between the dynamics of the development of cyberspace and the dynamics of changes in the volume of GDP is revealed, which allows us to predict changes in the volumes of GDP, as well as the dynamics of changes in world capital, taking into account the various stages of development of national economies; statistical relationship between the influx of investment in fixed assets and the growth rate of GDP is identified.

scholarly journals Profit Margin And Capital Structure: An Empirical Relationship

2011 ◽  
Vol 18 (2) ◽  
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

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="mso-bidi-font-style: italic;"><span style="font-size: x-small;"><span style="font-family: Batang;">This study constitutes an attempt to investigate the relationship between debt-to equity ratio and firm&rsquo;s profitability, taking into consideration the level of firms&rsquo; investment and the degree of market power.<span style="mso-spacerun: yes;">&nbsp; </span>The study uses panel data for various industries, covering the period 1995-96.<span style="mso-spacerun: yes;">&nbsp; </span>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. </span></span></span></p>

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

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.

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

SAGE Open ◽  
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.

scholarly journals Inter- and Intra-Regional Disparities in Russia: Factors of Uneven Economic Growth

2021 ◽  
Vol 13 (24) ◽  
pp. 13754
Author(s):  
Venera Timiryanova ◽  
Dina Krasnoselskaya ◽  
Irina Lakman ◽  
Denis Popov
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Hierarchical Linear Modeling ◽  
Regional Disparities ◽  
Linear Modeling ◽  
Fixed Assets ◽  
Dependent Variables ◽  
Production Growth ◽  
The Relationship ◽  
Municipal Level

Despite the growing body of literature on the dependence of economic growth from different factors, the reasons for uneven growth remain unclear. Within the country, regions have different growth rates in their diverse parts. It is unclear why the same factor could influence municipalities differently. To reveal this reason, we used hierarchical linear modeling with spatial dependence, which allows us to decompose variation into regional and municipal scales and take into account spatial autocorrelation. We conducted our research on data for 2239 municipalities within 85 Russian regions in 2019. Our model incorporates 20 factors of economic growth, with 7 at the municipal scale. Cross-interaction estimates established that factors attributed to the regional level determined the relationship between dependent variables (growth rate of production, growth rate of social benefits, and taxable income) at the municipal level and predictors. The influence of initial level, investments in fixed assets, employment on municipal growth varies greatly depending on such regional determinants as economic structure, innovation, human capital, and inequality. This paper adds to the existing literature on uneven economic growth at a smaller scale (municipality) and at the same time helps to rethink inter- and intra-regional disparities.

scholarly journals The Relationship of the Macroeconomic Variables with the Growth of Garment Industry in Bangladesh

2015 ◽  
Vol 4 (1) ◽  
pp. 63-78
Author(s):  
Sk. Alamgir Hossain ◽  
K. M. Anwarul Islam
Keyword(s):  
Growth Rate ◽  
Regression Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Garment Industry ◽  
Individual Effect ◽  
Macroeconomic Variables ◽  
Relationship Of ◽  
The Relationship ◽  
Graphical Presentation

In this research paper, we have tried to find out the relationship between the growth rate of garment industry and the macroeconomic variables. And for this we have conducted three types of analysis. First one is quantitative analysis; a second one is qualitative analysis, and the last one is a beta concept. Quantitative analysis has covered graphical presentation and multiple regression analysis. The graphical presentation just provides an overall idea about the relationship of variables, but it is an abstract concept. In case of regression analysis, we have used one dependent variable that is the growth rate of garment industry and seven independent variables those are growth rate of real GDP, the unemployment rate, inflation rate, interest rate, level of stock market, exchange rate. And stata-10 software has been used to run the regression model. After running the programmed it is seen that there have some econometric problems. By using the logarithm, we have solved those problems. A multiple regression analysis has been made to know the extent to which these variables affect the garment export growth rate. From that analysis, it has been found that about 70% variations in the growth rate of garments export can be defined by these variables. Then an equation for predicting future garments export has been constructed. Qualitative analysis has encompassed economic and political issues. After this, for knowing the individual effect of the variables, a beta concept has been employed and from that analysis it has been found that no variable affect garments export to a large extent. At the end of the analysis it can be said that, individual effect of the macroeconomic variables on the growth rate of garments export is not much but when they are combined, they can influence the garments export growth rate. As they are also related with each other which means change in one macroeconomic variable may change all the other variables. Therefore, a combined effect always remains. So, we can say that macroeconomic variables influence the garment industry of our country but not to a great extent. JEL Classification Code: E60, M10, L67, O14  

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

2020 ◽  
pp. 44-53
Author(s):  
I.N. Karelin ◽  
◽  
A.V. Koritsky ◽  
Keyword(s):  
Human Capital ◽  
Negative Relationship ◽  
Russian Regions ◽  
Domestic Investment ◽  
Economic Literature ◽  
Correlation And Regression Analysis ◽  
Russian Economy ◽  
Fixed Assets ◽  
Investment In Fixed Assets ◽  
The Relationship

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.

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

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.

scholarly journals ANALISIS HUBUNGAN PENDAPATAN ASLI DAERAH, DANA ALOKASI UMUM, DAN DANA ALOKASI KHUSUS ATAS BELANJA MODAL PADA PEMERINTAH DAERAH KABUPATEN TOLITOLI PROVINSI SULAWESI TENGAH

2013 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Fahri Eka Oktora ◽  
Winston Pontoh
Keyword(s):  
Local Governments ◽  
Capital Investment ◽  
Capital Expenditure ◽  
Field Research ◽  
Capital Expenditures ◽  
Fixed Assets ◽  
Close Relationship ◽  
Investment In Fixed Assets ◽  
The Relationship

Local governments need to increase capital investment in fixed assets, such as: equipments, buildings, infrastructures, and other fixed assets. Capital expenditure allocation was based on the local needs for facilities and infrastructure. The higher level of capital investment expected to improve the quality of public services, because the fixed assets due to capital expenditure is a key for the implementation of governmental duties and provides services to the public.This study was aimed at analyzing the corelations of local own revenues, general allocation funds, and specific allocation funds with capital expenditures at Tolitoli Regency in Central Sulawesi Province. Research design methods is the field research by correlation analysis.Test results showed a lack relationship between local own revenues with capital expenditures by R value was 0,155. Meanwhile the relationship between general allocation funds with capital expenditures was 0,981 and special allocation funds with capital expenditures was 0,427. It shows the close relationship between the two variables with capital expenditures.Keywords: Local Own Revenue, General Allocation Fund, Spesific Allocation Fund, Capital Expenditure.

INFLUENCE OF INVESTMENTS ON THE ECONOMIC GROWTH OF THE COUNTRY

2020 ◽  
Vol 7 (3) ◽  
pp. 28-33
Author(s):  
Ravshan Mamatov ◽  
Keyword(s):  
Economic Growth ◽  
Annual Growth ◽  
Production Factors ◽  
Fixed Assets ◽  
Production Growth ◽  
Total Investment ◽  
The Republic ◽  
Investment In Fixed Assets

The economic growth of the Republic of Uzbekistan will depend on production factors that contribute to the annual growth of the country's GDP. At the same time, extensive production growth will lead to the implementation of unpromising investments. A growing share of innovation-oriented investments in the total investment in fixed assets in the country will lead to intensive economic growth in the country

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