Predication of the Industrial Growth Rate in 2014 and Analysis and Report on the Industrial Prospect Index and the Early Warning Index

2017 ◽  
pp. 91-108
Author(s):  
Xie Sanming
Keyword(s):  
Growth Rate ◽  
Early Warning ◽  
Industrial Growth

Structure of Economic Growth of the Countries of the Eurasian Union

2020 ◽  
Vol 152 ◽  
pp. 112-123
Author(s):  
Oleg S. Sukharev ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Mixed Model ◽  
Raw Materials ◽  
Growth Models ◽  
Structural Formula ◽  
Industrial Growth ◽  
Economic Relations ◽  
Macroeconomic Analysis ◽  
Investment Structure

The purpose of the study is to determine the existing growth models of the countries of the Eurasian Union by GDP expenditures and sectors (manufacturing, transactional raw materials). The research methodology is a macroeconomic analysis of the dynamics of the main indicator of economic development — gross domestic product. The research method is a structural analysis that allows you to get a structural formula for calculating the contribution of each component of GDP to the growth rate, as well as a comparative analysis of the dynamics models of the countries in question — Armenia, Belarus, Kazakhstan, Kyrgyzstan, Russia. The result of the study is the obtained structural relationships that make it possible to measure the influence of the investment structure on the growth rate, the criteria describing economic growth with a corresponding change in the country's national wealth, as well as the identification of models of economic dynamics by the countries of the Eurasian Union. It is indicative that the transaction sector dominates in Kazakhstan and Russia, while in other countries a mixed model is found, or industrial growth as in Belarus. According to the components of GDP and expenditures of the country, either a mixed or a consumer model is found (Kyrgyzstan, Russia), however, the contribution of government spending to the growth rate is provided only in Kazakhstan. It was also revealed that the reaction to the crisis of 2009 and 2015 was fundamentally different for the countries of the Eurasian Union. The search for the factor conditions of such a prevailing dynamics, as well as the influence of union economic relations on the formation of a growth model in each country, requires an expansion of research and an analytical perspective

Analysis of Energy System in South Africa Using Exponential Smoothing Approach and Regression Technique

2016 ◽  
Vol 5 (3) ◽  
pp. 51-67
Author(s):  
Mohammad Mehdi Ghiasi ◽  
Alireza Aslani ◽  
Younes Noorollahi
Keyword(s):  
South Africa ◽  
Growth Rate ◽  
Energy Demand ◽  
Nuclear Energy ◽  
Fossil Fuels ◽  
Energy System ◽  
Primary Energy ◽  
Exponential Smoothing ◽  
Industrial Growth ◽  
Simple Exponential Smoothing

The energy demand has increased dramatically in the recent decades. Due to the limitations and environmental effects of fossil fuels, secure level of energy supply is vital for economic and social development. This work is to review the energy sector in South Africa. After that, the consumptions of coal, oil, natural gas, and nuclear energy are estimated by employing simple exponential smoothing methodology. Finding shows that the primary energy consumption in the South Africa is correlated as a function of population growth rate, industrial growth rate, and GDP.

Concentrate on Industry, Give Some Money and Subsidies to Agriculture Will this attitude Revive Industrial Growth

Paradigm ◽  
1998 ◽  
Vol 1 (2) ◽  
pp. 78-81
Author(s):  
Rakesh Singh
Keyword(s):  
Growth Rate ◽  
Rural Development ◽  
Agricultural Development ◽  
Vicious Circle ◽  
Industrial Growth ◽  
Agricultural Growth ◽  
Agricultural Investment

The article analyses the budgetary allocations for agriculture and rural development and suggests what needs to be done to enhance agricultural growth. There is a dire need to increase investment in agriculture so that the vicious circle trap can be broken up and economy could achieve high agricultural growth rate in real terms. The major stumbling block in agricultural development has been the falling agricultural investment since the mid eighties. It is thus necessary to reverse the trend.

The Anatomy of Sustainable Growth Rate of Indian Manufacturing Firms

2018 ◽  
Vol 19 (4) ◽  
pp. 1050-1071 ◽  
Author(s):  
Lalit Arora ◽  
Shailendra Kumar ◽  
Piyush Verma
Keyword(s):  
Growth Rate ◽  
Manufacturing Sector ◽  
Sustainable Growth ◽  
Profit Margin ◽  
Regression Equations ◽  
Industrial Growth ◽  
Return On Equity ◽  
Net Profit ◽  
Sustainable Growth Rate ◽  
Indian Manufacturing Sector

An important parameter to gauge the reasons behind success (failure) of a firm in the form of sustainable growth rate provides useful insights to managers and investors. This research analyzes the variations in calculations and suitability of method of calculating this growth rate using two different formulas. It also intends to examine the extent to which these variations in sustainable growth rate are explained by some of its important determinants. Using panel data regression by decomposing return on equity into net profit margin, asset turnover and financial leverage, results suggest that four key ratios are robust in capturing the variations in sustainable growth rate even after introducing industry-specific factors like industrial growth and inflation in the regression equations. Sustainable growth rate calculated only on the basis of percentage change in book value of equity provides an aggregate view depicting that any changes in sustainable growth rate across industries are random. Further analysis provides evidence that net profit margin drives the sustainable growth of firms in the Indian manufacturing sector.

scholarly journals EARLY WARNING SYSTEM OF EXTERNAL SUSTAINABILITY OF AN ECONOMY: CASE OF UKRAINE

2021 ◽  
Vol 4 (39) ◽  
pp. 503-511
Author(s):  
О. Bazhenova ◽  
І. Chornodid ◽  
Yu. Yarmolenko ◽  
О. Golubev
Keyword(s):  
Growth Rate ◽  
Early Warning ◽  
Early Warning System ◽  
Foreign Currency ◽  
Commodity Prices ◽  
Warning System ◽  
Noise Signal ◽  
Sustainability Indicators ◽  
Economic Shocks ◽  
External Sustainability

Abstract. The paper deals with the early warning system that allows monitoring the external sustainability of an economy due to external economic shocks. For this purpose, the analysis of the external sustainability indicators system of an economy (example of Ukraine) was implemented. It consisted of statistical analysis of the system of indicators of external sustainability of an economy, probabilistic assessment of their dynamics due to external economic shocks. The analysis of external sustainability indicators includes verifying their volatility, stability and variability relative to GDP. It means calculation of standard deviation for testing the volatility, autocorrelation to check the stability of the indicator and correlation between its value and GDP growth rate to measure the variability relative to the economy’s performance. The calculations of threshold percentiles for indicators of external sustainability of Ukraine’s economy, noise-signal ratios and probabilities of the occurrence of unsustainable external perturbationsare based on signal approach. The analysis of indicators of external sustainability of Ukraine’s economy shows that most indicators are volatile relative to their average values.It is shown that most indicators of the external sustainability of Ukraine’s economy are acyclic as they are weakly correlated with the growth rate of GDP, although their turning points coincide in many cases. Procyclical indicators are the ratio of reserve assets to «broad money», the ratio of net foreign assets to GDP, the average interest rate on external government liabilities, countercyclical indicators are the ratio of reserve assets to short-term external debt, the share of external public debt denominated in foreign currency to the total amount of external government obligations (except for SDR). Keywords: external sustainability, early warning system of external sustainability, external economic shocks, commodity prices, debt sustainability, social and market efficiency. JEL Classification F30, F40, F62 Formulas: 0; fig.: 1;tabl.: 0; bibl.: 24.

scholarly journals A Performance Against the Challenges in Private Industrial Security Service from Training Perspective

2019 ◽  
Vol 8 (2S4) ◽  
pp. 565-568
Keyword(s):  
Growth Rate ◽  
Common Good ◽  
Technological Advancement ◽  
Industrial Growth ◽  
The Road ◽  
Security Services ◽  
Security Service ◽  
Security Personnel ◽  
Industrial Security ◽  
Almost All

In our country’s industrial growth many services have grown by leaps and bounds with advent of growing competition, de regulations, technological advancement and growing needs of FDI in different sectors. Many service sectors have grown phenomenally catering to the demanding needs of customers of different profiles. One such service is Private Industrial security services where the growth rate is approximately 30% annually. Growth and Demand in the security services are inherently accompanied by the challenges and issues all over to different stake holders like Organisations, end users, lakhs of practicing security personnel, Govt agencies, Training organizations, HR Practitioners and Administrators. A FICCI study estimates that the private security industry’s Turn over is pegged at Rs. 15,000/- crores with employment to 15 lakh people. It is expected to cross 22,000 crores with 75 lakh workforce by 2020. Yet Security industry is not properly regulated by any statutory or industry bodies in real sense to bring it on par with any other organized sector for the common good of the industry. Security needs are varied and different, given the security climate and perception in diversified industrial segments in economy. So are the equally daunting challenges, concerns, issues faced by the corporate while engaging the security personnel for safeguarding and protecting their physical and human assets. Undoubtedly this service is required in almost all walks of our lives, all through 365 days and 24X7 days. Complexities apart, the security service has to come stay irrespective of industry growth rate in any given sector. Corporates are completely aware of the necessity of the service in different business conditions. Yet by nature the same complexities themselves create new challenges and perceptions within and outside this industry. The scope of the performance and accompanying challenges are far reaching to foresee the road ahead of this industry.

scholarly journals Industrial Growth and Export Expansion: The Case of West Pakistan

1974 ◽  
Vol 13 (3) ◽  
pp. 308-324
Author(s):  
Ishrat Husain
Keyword(s):  
Growth Rate ◽  
Economic Development ◽  
Consumer Goods ◽  
Large Scale ◽  
Structural Transformations ◽  
Total Output ◽  
Annual Growth Rate ◽  
Industrial Growth ◽  
Export Expansion ◽  
Fixed Assets

Large scale manufacturing has been the fastest growing sector in the economic development of Pakistan during the last two decades. Starting from almost a scratch, this sector has been able to show spectacular performance in terms of rate of growth. The overall annual growth rate in West Pakistan during 1960-68 was 11.4%, well in excess of the target rate of 7.0% laid in the Second and Third Five Year Plans. The share of manufacturing in the Gross Provincial Product (GPP) of West Pakistan rose from 12.3% in 1960 to 16% in 1968. Not only has the share of this sector risen in the GPP but major structural transformations have also taken place within the sector. Consumer goods industries which contributed about 76% of the total output in 1954 are no-longer as important and accounted for only 57 % of the total output in 1968. The distribution of the fixed assets has also moved in the same direction as output during this period.

scholarly journals Economic growth vs. eco-efficiency of Russian industrial regions

2021 ◽  
Vol 258 ◽  
pp. 06016
Author(s):  
Daria Benz
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Federal District ◽  
Gross Regional Product ◽  
The Urals ◽  
Industrial Growth ◽  
Industrial Regions ◽  
Basic Hypothesis ◽  
Regional Product ◽  
Product Growth Rate

The article focuses on issues of economic growth, and eco-efficiency in Russian industrial regions on the example of the Urals Federal District. The study is based on the concept of existing tensions between economic development, and eco-efficiency. The author claims that within this concept an optimum could be found. The purpose of the study is to determine the most optimal industrial growth rate within the Urals Federal District. Industrial production representing 50% of the sectoral gross value added structure is the key factor of economic growth in the researched regions. This basic hypothesis of the study is confirmed by a relatively strong correlation between industrial growth rate and Gross Regional Product growth rate in Sverdlovsk region, Tyumen region, and Chelyabinsk region. As part of the study the author made use of correlation analysis, which confirmed the basic hypothesis of the research, and paired regression analysis, where industrial production growth rate is used as a regressor to build paired regression models. Economic growth is estimated via Gross Regional Product growth rate. For every sector, where the basic hypothesis is confirmed, there is a graphical model illustrating dependence of economic growth (E1), and eco-efficiency (E2) on industrial growth rate. The study discovers optimal industrial growth rate providing development of eco-efficiency in the researched regions. The results of the study can be applied both by scientists or government structures in strategies of regional development taking into account eco-efficiency.

Land acquisition and industrial growth

2015 ◽  
Vol 8 (2) ◽  
pp. 163-183
Author(s):  
Satya P. Das ◽  
Anuradha Saha
Keyword(s):  
Growth Rate ◽  
R Package ◽  
Industrial Sector ◽  
Land Acquisition ◽  
Industrial Growth ◽  
Content Type ◽  
Sector Model ◽  
Long Run ◽  
The Impact ◽  
Over Time

Purpose – This paper aims to understand the impact of land acquisition and the provision of rehabilitation and remuneration (R & R) transfers included in it, toward the short-run and the long-run growth of an economy as well as on the welfare of farmers and industrialists over time. Design/methodology/approach – The authors develop a two-sector model of growth with agriculture and manufacturing in which land is an essential input to production in both sectors. Industrialists buy land from farmers and deals include R & R payments. Individuals live for one period and at its end, bequeath land and capital assets to their child. There is Hicks-neutral technical progress in each sector. Findings – The R & R policy has no effect on the long-run sectoral growth or land allocation. While such a policy benefits the farmers initially, after a certain period, it reduces their welfare. The R & R scheme makes the industrialist worse-off in all periods. It was found that besides the standard convergence effect, land acquisition by the industrial sector increases the growth rate of capital. This may lead to non-monotonic growth rate of capital. Research limitations/implications – The two-sector model abstracts from labor and labor markets. Hence, sectoral employment mobility or changes in the skill-wage premium over time are not captured. Originality/value – First, this paper developed a two-sector growth model with land as a factor of production and an asset. Second, it examined growth and distributive impacts of the R & R package embodied in land transactions.

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