scholarly journals Analysis of mergers and acquisitions between 2009 and 2020

2021 ◽  
Vol 30 (4) ◽  
pp. 1-18
Author(s):  
Natalya Chernenko ◽  
Tetiana Moiseienko ◽  
Olena Korohodova ◽  
Yaroslava Hlushchenko
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Mergers And Acquisitions ◽  
Global Economy ◽  
Polynomial Regression ◽  
Behaviour Pattern ◽  
Time Model ◽  
Discrete Time Model ◽  
Implementation Costs ◽  
Transnational Companies

This paper studies the dynamics and trends in processes of mergers and acquisitions in a highly competitive and global economic environment. The aim of this study is to analyse and divide into periods M&A agreements in the global economy. The study produces a precise definition and discusses benefits and drawbacks of such horizontal and vertical agreements. The authors discuss historical waves of mergers and acquisitions processes and present 11 individual periods containing special aspects and description of types of the agreements, as well as supplement the periods with COVID-19 pandemic flow for 2020-2021. A polynomial regression analysis is used to predict the mechanism, results and magnitude of mergers and acquisitions. Furthermore, a discrete time model enables studying behaviour pattern of mergers and acquisitions happened during 2009-2020. The results demonstrate that transnational companies are greatly attributed to economic growth through mergers and acquisitions despite their rather high preparation and implementation costs. It may be expected an escalation of capital redistribution among pharmaceutical and bioengineering companies in a post-pandemic period due to increased M&A agreements.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN PAJAK KENDARAAN BERMOTOR DI PROVINSI KALIMANTAN SELATAN

2021 ◽  
Vol 10 (4) ◽  
pp. 375
Author(s):  
Dwi Ajeng Kartini Apriliyanti ◽  
Harianto Harianto ◽  
Dedi Budiman Hakim
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Global Economy ◽  
Central Government ◽  
Motor Vehicle ◽  
Positive Impact ◽  
Tax Revenue ◽  
Panel Data Regression ◽  
Data Regression

Decentralization is the transfer of governmental power by the central government to autonomous regions based on the principle of autonomy. In general, the results of the analysis show that decentralization has had a positive impact on local economic growth. Global economy crisis has affect national economic growth and South Kalimantan slowdown that occurred since 2012 and continued until 2015 which only grew by 3,84%. The realization of motor vehicle tax in 2015-2019 is still fluctuating even though in certain years it has reached the target, so it is necessary to know the factors that affect the motor vehicle tax revenue. The purpose of this study was to analyze the factors that influenced motor vehicle tax revenue in South Kalimantan Province.  The types of data used in this study are primary and secondary data. The analysis method used in this research is panel data regression analysis. The results of this study showed the number of vehicles has a positive and significant effect while population, PDRB per capita, inflation, tax system haven’t significant effect on motor vehicle tax revenues in South Kalimantan Province. Keywords: Panel Data Regression Analysis, motor vehicle tax.

The Effects of Military Expenditures on Economic Growth and Inflation: Evidence from Turkey

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kyriakos Emmanouilidis ◽  
Christos Karpetis
Keyword(s):  
Economic Growth ◽  
Theoretical Analysis ◽  
Monetary Theory ◽  
Time Model ◽  
Discrete Time Model ◽  
Long Run ◽  
Macroeconomic Impact ◽  
Military Expenditures ◽  
Open Question ◽  
The Military

Abstract The hypothesis that military spending affects economic growth and other aspects of the economy has been under scrutiny over the last decades. However, the macroeconomic impact of defense outlays is still an open question for researchers and policymakers. Aiming to contribute to the existing debate, this paper combines Keynesian with monetary theory and develops a discrete-time model that allows for potential fiscal-monetary coordination for financing the military sector in order to examine the effects of defense outlays on income and inflation. Τhe theoretical analysis suggests that military budget expansions can only have temporary effects on income, as in the long run, their impact on the economy is solely inflationary. However, the empirical findings associated with the economy of Turkey are not fully consistent with the theoretical conclusions of the specified model.

Peculiarities of Modern Dynamics of the Global Economy

2010 ◽  
pp. 78-92 ◽  
Author(s):  
V. Klinov
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Business Cycles ◽  
Global Economy ◽  
Long Waves ◽  
Rapid Expansion ◽  
Business Taxation ◽  
Modern World ◽  
China And India ◽  
World Economic

Rates and factors of modern world economic growth and the consequences of rapid expansion of the economies of China and India are analyzed in the article. Modification of business cycles and long waves of economic development are evaluated. The need of reforming business taxation is demonstrated.

Openness of the Russian economy as a source of economic growth

2016 ◽  
pp. 26-42 ◽  
Author(s):  
P. Kadochnikov ◽  
A. Knobel ◽  
S. Sinelnikov-Murylev
Keyword(s):  
Economic Growth ◽  
Economic Integration ◽  
Global Economy ◽  
Regional Economic Integration ◽  
Policy Recommendations ◽  
Regional Economic ◽  
Russian Economy

The paper considers measures on Russia’s integration into the global economy, aimed at the economic growth resumption. It analyzes conditions and mechanisms due to which the expanding trade and mutual investment with other countries contribute to economic growth in Russia. The paper provides policy recommendations for export support, regional economic integration agenda and the institutions reform.

Solow economy model

2019 ◽  
pp. 150-157
Author(s):  
Oleksandr Synenko ◽  
Kateryna Yarema ◽  
Yuliia Bezsmertna
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Solow Model ◽  
Economy Model ◽  
Accelerated Depreciation ◽  
Basic Parameters ◽  
The Subject ◽  
Investment Process ◽  
The Impact ◽  
Model Algorithm

The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

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