DIGITALIZATION OF SCIENCE IN KAZAKHSTAN AS A FACTOR ECONOMIC GROWTH

This study investigates the relationship between high-tech product exports and economic growth in EU-15 countries between 1998-2017. The dataset composed of gross domestic product (GDP), high-technology exports (HT), labor force (LF), and gross fixed capital formation (PC). Dumitrescu & Hurlin Causality, Westerlund Cointegration and MG Estimator employed for the analyses. The short-term outcomes revealed a bidirectional causality between (a) HT and GDP, (b) LF and GDP, (c) PC and GDP, (d) LF and HT, (e) LF and PC, and (f) a unidirectional causality from HT to PC. Moreover, (i) a 1% raise in HT cause to 0.49 % increase in GDP, (ii) a 1% raise in LF cause to 0.22 % increase in GDP, (iii) a 1% raise in PC cause to 0.48 % increase in GDP. The long-term outcomes show that (i) a 1% raise in HT cause to a 0.34 % increase in GDP, (ii)a 1% raise in LF cause to a 7.4 % increase in GDP, (iii) a 1% raise in PC cause to a 0.33% increase in GDP. High-tech product exportation has a significant impact not only on economic growth, but also on gross fix capital formation and employment.

Differential influences of population densification and economic growth on Europeans' physical activity and sitting time

A scale-independent analysis of the performance of the Chinese innovation system

Assessing the impact of Brazilian economic growth on demand for electricity

BackgroundThere is mixed evidence and lack of consensus on the impact of economic development on stunting, and likewise there is a dearth of empirical studies on this relationship in the...

Gross Domestic Product (GDP) is one indicator for measuring a country's economic growth. However, the increase in GDP and population growth are affecting CO2 emissions. This study analyses the effects of GDP and population density on CO2 emissions in Indonesia. To this end, it used the Cobb-Douglas model, and parameter estimation using Ant Colony Optimisation algorithm. The analysis of the results reveals that GDP and population density influence CO2 emissions in Indonesia significantly, and significantly follows the Cobb-Douglas model with increasing return to scale characteristics. Thus, an increase in GDP and population density will lead to increased CO2 emissions in Indonesia.Keywords: Economic Growth, Gross Domestic Product, Population Growth, CO2 Emission, Ant Colony Optimisation Algorithm, Cobb-Douglas modelJEL Classifications: C61, O47, O150, Q530DOI: https://doi.org/10.32479/ijeep.8011

PurposeThis study examines the impact of institutional quality (INQ) and human capital creation (HCC) on economic growth (EG) linkage in Bangladesh using an ARDL approach.Design/methodology/approachThis study uses time-series annual data over the period 1990–2019. It formulates an INQ index based on international country risk guide (ICRG) data, employs public education outlay and expenditure on health data each as a portion of real gross domestic product (GDP) to measure HCC, while an increase in real GDP is used as a proxy for EG. It employs the ARDL technique and Toda–Yamamoto (T-Y) causality check to realize the study.FindingsThe ARDL analysis divulges that the variables have a long-run association; INQ affects long-run EG positively; expenditure on health stimulates EG rate in the long run, but does not impact the latter in the short-run; whilst government spending on education impacts long-term EG rate negatively but positively in the short-term. The T-Y causality test results reveal a feedback relationship between INQ and EG, and one-way causation from health expenditure to EG rate, and education outlay to EG rate and authenticate the ARDL estimation results.Originality/valueThe study is original. The novelty of the study is to employ an INQ index using the ICRG data on 12 different components which are converted into a single index through principal component analysis.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0732

I analyze how changes in life expectancy affect retirement age, education time, and growth rates of economies. I set up a continuous time, overlapping generations model of endogenous growth with externalities in human capital production. I find that increases in life expectancy give rise to first, higher retirement ages and second, higher education spans. A threshold level for life expectancy exists such that per capita growth rates follow an inverted U pattern.

Background: Macroeconomic growth has been shown to be associated with increases in cardiovascular (CVD) mortality. However, it is unclear whether concurrent social protection policies may mitigate the observed associations. Objective: To study if social protection expenditure modifies the association between macroeconomic growth and cardiovascular mortality. Methods: We included 21 OECD countries from 1980 to 2010 with available data in the Comparative Welfare States Data Set and the WHO Mortality Database. Gross Domestic Product (GDP) was used as a proxy for economic growth. Age-adjusted cardiovascular mortality rates were calculated. Countries were divided into tertiles of average Social Protection expenditure. We used fixed-effect models to study the association of GDP growth with CVD mortality stratified by tertile of social protection expenditure. We included four lagged GDP terms to account for the cyclical nature of GDP. A second fixed-effects model was fitted with time-varying linear and quadratic social protection expenditure and its interaction with GDP. Results: Overall, a 1% increase in GDP was associated with an increase in CVD mortality of 0.5% (95% CI: 0.21-0.83%, p=0.001). In countries with high and medium social protection expenditure, GDP increases were not associated with changes in CVD mortality (p=0.80 and p=0.52 respectively). In countries with the lowest social protection expenditure, a 1% GDP increase was associated with a significant increase in CVD mortality of 0.7% (95% CI: 0.04-1.32% p=0.03). These results were consistent in analysis using time-varying social protection expenditure (Figure). Conclusion: Our results highlight the need for social protection policies to accompany economic growth to mitigate its potential deleterious effects on cardiovascular diseases. Further research should study specific policies that mitigate the harmful effects of macroeconomic growth.

We Are What We Measure

Since oil plays an important role in the economy of Azerbaijan, the events in the global oil market deeply affect the national economy. Moreover, the COVID-19 pandemic influenced the economy of Azerbaijan, in which oil and gas have a significant place. In April 2020, the price of one barrel of oil on the world market fell to $1. One reason for this was the decrease in oil demand due to the lockdown re-gime implemented by many countries due to the rapid outbreak of the COVID-19 pandemic, and another reason was that the OPEC (Organization of the Petroleum Exporting Countries) countries could not agree on reducing oil production. The aim of this research is to show the impacts of oil prices on gross domestic product (GDP) of Azerbaijan, the growth rate of GDP, and the amount of oil production in Azerbaijan in 2009-2018. The hypothesis of the research is that oil prices seriously influence the economy of Azerbaijan and there is a correlation between the growth rate of Azerbaijan’s gross domestic product and the oil prices. The study starts with a brief description of the history of Azerbaijan’s oil industry, followed by oil industry’s importance in the economy of Azerbaijan, the role in foreign economic relations, and the effects on the economy of country. The quantitative method was used as a key research method. The data used in the analysis of this study were collected according to the literature scanning method, which is one of the data collection techniques. Further, descriptive statistics technique, which is a quantitative data analysis technique, was used to analyse the data. The findings show that the changes in oil prices in 2009-2018 directly affect the Azerbaijan’s gross domestic product, the growth rate of GDP, and the amount of oil production in Azerbaijan. Thus, as oil prices increase, the growth rate of the country’s gross domestic product and GDP increase and decrease as oil prices decrease.

Latin American Science Moves into the Spotlight

The gross domestic product (GDP) is a significant indicator for evaluating the performance of an economy. The GDP of a nation can be used to get a sense of the size and health of that nation's economy. Indonesia is the only nation from Southeast Asia to be represented in the G20. All G20’s countries play vital roles in creating the economic landscape of the region, the world, and everything in between. This research is focused on the increase of the GDP in Indonesia, Malaysia, Singapore, Thailand, and Brunei Darussalam. The spatial influence of GDP can be seen in the growth of each nation's infrastructure and industrial sector, for example. at the regional level, the increase of a country's GDP can also have an effect on the countries that are its neighbors. Using the GSTAR model, the aim of this study is to investigate the spatial and temporal influences on the GDP statistics of five different countries. The GSTAR model is distinguished by the presence of a weight matrix, which is one of its distinguishing features. In addition, the aim of this research is to select the most appropriate weight matrix for the purpose of representing the spatial effect on GDP statistics. Uniform, queen contiguity, and inverse distance weight matrices are the types of weight matrices that are utilized. Calculating each weight matrix, estimating relevant parameters, and performing diagnostic tests are the primary activities involved in this investigation. As a consequence of this, a weight matrix that is uniform in its distribution is the one that performs the best. The spatial and temporal correlations of GDP data may be accurately represented by the GSTAR model when it is equipped with a uniform weight matrix. This model is applied to five different countries.

The global changes caused by COVID-19 pandemic had a huge impact on world economy, and defence systems of all states. As the South East European countries are a part of the world economy, the events caused by the pandemic have influenced the economic development and military systems of these countries. For the purpose of this paper, an analysis has been carried out as to how military expenditures influenced the economic growth through the growth of the gross domestic product (GDP) in the period between 2018 and 2023 in eleven Balkan countries. The purpose of the paper is to show whether military expenditures of the analysed countries had an impact on the economic growth through the growth of GDP, and whether that impact was positive, negative or insignificant. Accordingly, null hypothesis will be analysed - "Military expenditures have a significant impact on economic growth, through the increase in GDP, in the period before, during and after COVID-19 pandemic", or the alternative hypothesis - "Military expenditures do not have a significant impact on economic growth through the increase in GDP, in the period before, during and after COVID-19 pandemic". The author of the paper mainly used the comparative method, methods of induction and deductive method, static method, as well as content analysis. Using Spearman's rank correlation coefficient, a level of correlation was determined between the variables "GDP growth" and "Military expenditures" particularly between nominal and percentage values of these variables. In both cases a weak correlation was determined between the observed variables, on the basis of which the null hypothesis was rejected while the alternative hypothesis was accepted stating that military expenditures of Balkan countries did not have significant impact of GDP growth in the analysed period.

This research aims to explore the impact of foreign direct investment (FDI) on gross domestic product (GDP) per capita in The Republic of Srpska. Through data analysis from the period 2020-2023, using correlation, regression, and ANOVA analysis, we investigate the complex relations among these key variables of economic development. Our goal is to understand whether and to what extent foreign investments contribute to the economic growth of this region and what the impact of the COVID-19 pandemic and high inflation has been on this relation. Responding to this research question, our analysis indicates a strong positive correlation between FDI and GDP per capita, implying a significant positive impact of foreign investments on economic growth in The Republic of Srpska. Regression analysis further confirms this conclusion, showing that any increase in foreign direct investment results in an increase in GDP per capita. We have also identified the negative impact of the COVID-19 pandemic and high inflation on investments and GDP, highlighting the need for adequate policies and strategies to support economic recovery and sustainable growth.