Ekonomika
Not a member yet
1672 research outputs found
Sort by
Ukraine’s Green Economy Growth in the Context of Industry 4.0: Challenges and Solutions
Full text linkThe research highlights the importance of prioritizing new sources of economic growth for the world, with a specific focus on Ukraine. The information base of the study included data from the statistical and managerial reporting of enterprises, the State Statistics Service of Ukraine, and information-analytical materials from international organizations. The authors analyze scientific works associated with the European Green Deal (EGD) to identify historic periods of green economy growth and establish growth trends. The authors argue that favorable conditions are necessary to achieve sustainable green growth within the framework of the EGD. The study aims to introduce an improved economic definition, namely the efficiency of green (natural) capital, aligned with the provisions of the EGD in the context of Industry 4.0. The analysis demonstrated that the coefficient of green (natural) capital (GNC) efficiency is crucial in decision-making processes by enterprises, taking into account ecological and green (natural and resource) factors. The analysis also includes a flowchart of Ukraine‘s green economy growth in the environment of Industry 4.0 as of 2022. The research results have led to the improvement of scientific and methodological approaches to assessing the eco-economic efficiency of advanced green technologies. The introduced green (natural) capital indicator allowed to display of the theory of achieving more products and services with fewer resources, including natural and ecological ones
In the Context of Okun Law, the Relationship Between Real Output and Unemployment Rate in Oecd: a Panel Error Correction and Panel Ardl Approaches
Full text linkIn this paper, the correlation between unemployment rate and real output for OECD countries was analyzed through the application of Okun’s Law and unemployment hysteresis 2007-2022. For this purpose, panel error correction, panel cointegration, ARDL Bounds Test and Granger causality techniques were preferred. In addition, unemployment hysteresis was examined with different panel unit root technique in OECD countries. The findings show that there is a long-term link among the variables, while supporting unemployment hysteresis in most OECD countries. Long-term findings show that Okun’s law is applicable. Causality analysis indicates that there is a one-way and negative relationship towards the unemployment rate. The estimation for the long-run coefficient shows that the increase in growth leads to a decrease in the unemployment rate. Short-term findings also support long-term outcomes
Estimating Healthcare Expenditures for Northern Europe and the Baltic Region: Revisiting the Baumol Model
Full text linkThe study aims to empirically test Baumol’s cost disease hypothesis about to the secular rise in healthcare expenditures for Northern Europe and the Baltic region in recent decades. Panel data regressions and adjusted Baumol variables are applied to the data for 11 countries of Northern Europe and the Baltic region from 2000 to 2019. The results highlight that Baumol’s cost disease partly drives the secular rise in healthcare expenditures in the countries studied. The Baumol cost disease is estimated to be around 0.01 to 0.05 for current health expenditure, 0.07–5.48 for public health expenditure, and 3.14–6.23 for private health expenditure. This finding suggests that achieving a balanced growth in different sectors of the economy may result in separating the health sector from having a Baumol’s effect in the countries studied
HDI, Oil Prices, Government Expenditures in GCC: Evidence from a Cross Sectional ARDL Approach
Full text linkThis study explores the relationship between oil prices and the Human Development Index (HDI) in the Gulf Cooperation Council (GCC) countries. It investigates whether oil prices remain the primary driver of economic growth and development in the region. The analysis employs a Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) approach and Cointegrated Autoregressive Distributed Lag (CCEMG) methods, following unit root and stationarity tests. The findings reveal an insignificant correlation between oil prices and HDI in the overall GCC countries. However, significant relationships are observed at the individual country level. These results suggest that policymakers in the region should prioritize economic diversification and focus on sectors such as tourism in Dubai and the specific policies implemented in Saudi Arabia to foster sustainable development
Impact of Energy Use on Air Pollution: Evidence from OCED Countries
Full text linkAir pollution poses significant environmental and health risks, with numerous studies suggesting its dire consequences ranging from respiratory diseases to global climate change implications. In this context, understanding energy consumption patterns and their impact on air pollution is critical, especially in developed nations with high energy consumption rates. This paper empirically analyzes the impact of energy use on air pollution in OECD countries – a group of nations that play a pivotal role in global energy consumption and policy-making. Despite their economic advancements, the implications of their energy choices on air quality have not been extensively studied, presenting a gap in the literature. Spanning 12 years from 2010 to 2021, our research encompasses a total of 456 observations, employing panel data. We aim to unveil the relationship between energy use, both traditional and renewable and air pollution levels. The variables studied include Energy use per capita, Alternative and nuclear energy, Greenhouse gas emissions, Energy imports, Access to electricity, and the production of renewable energy (air, water, solar, geothermal). Leveraging various econometric models such as OLS, OLS Robust, fixed, and random effects models, our findings reveal that electricity use exacerbates air pollution levels. Particularly, the increase in carbon dioxide, coupled with the rising access to electricity, deteriorates air quality. In contrast, electricity sourced from renewables like water, wind, nuclear, and geothermal energy aids in mitigating air pollution, emphasizing the importance of sustainable energy choices for future policy considerations in OECD nations
Investigating the Determinants of Herd Behavior: an Application of the Hwang–Salmon Method to the Turkish Banking Sector
Full text linkEfficient financial markets are important for pricing assets at fair value. In an efficient market, investors are rational in the face of fast and accurate information flow, evaluate the information correctly, and reflect it in their pricing decisions. However, particularly in times of crisis and uncertainty, it is observed that some market participants hesitate in their decision-making processes, imitate the behavior of other individuals whom they consider reputable because they cannot rely on their own knowledge and experience, and try to follow the trend. This tendency, which is called herd behavior, destroys market efficiency and prevents correct price formation. Therefore, it is important to identify its determinants. The purpose of the study is analyzing the precense and determinants of herding behavior in the Turkish banking sector during the period 17.10.2017–10.11.2023. Herd behavior is identified using the Hwang–Salmon method, and logistic regression analysis and the Kruskal–Wallis test are applied to identify its determinants. The findings reveal that herding behavior is associated with the rise in risks and returns as well as the fall in interest rates and exchange rates
Social Protection Benefits Compatibility and Evaluation Criteria: the Case of Lithuania
Full text linkIn general, the social protection (SP) system consists of two main blocks: social insurance (SI) and social assistance (SA). The main idea of SP is to leave no one behind, support in times of social risks. However, SI and SA systems are usually developed and improved separately. Organization for Economic Cooperation and Development (OECD) and European Commission (EC) often emphasise that expenditure on the SP system in Lithuania is scarce, income poverty and inequality are critical, not improving. This raises the question of whether both elements of SP in Lithuania are based on the same criteria to achieve consolidated SP and avoid its gaps. This paper aims to identify evaluation criteria, look at the Lithuanian SP system through its main benefits, and identify whether people are protected. The analysis consists of a literature review, which helps identify evaluation criteria for the SP system, and Lithuanian analysis based on evaluation criteria for 2018–2022 policy years. Three main criteria for SP benefits evaluation are identified: coverage, adequacy, and incentives to work. To make an in-depth analysis of the SP system in Lithuania, the tax-benefit microsimulation model EUROMOD is used to analyse different households’ poverty and unemployment traps and test whether the current SP system contributes to them. It was expected that this research would help to shed a light on how well Lithuanian SI and SA function simultaneously. Results show that SP system compatibility in Lithuania is above average, the weakest part is coverage
Cryptocurrency Portfolio Management:A Clustering-Based Association Approach
Full text linkThe aim of this study is to identify crypto assets with similar characteristics and to explore the similar responses of these assets to market-priced events. This process is carried out in two stages. Cluster analysis and association analysis were applied in the research. First of all, cluster analysis was performed using the variables; the total number of active unique addresses, USD value of the current supply, fixed closing price of the asset, return on investment of the asset, total of the current supply, number of transactions, USD value of the sum of native units and 30 days volatility criteria. HK-Means algorithm and R Program were used for clustering. Then, the co-movement of crypto assets was analyzed using the FP-Growth algorithm and the WEKA program. 71 crypto assets with the highest market capitalization and meeting the research criteria were included in the research. The data used in the research covers the period of May 2021-May 2022. According to the main findings obtained from the research; within the framework of the criteria used in the research, 4 clusters were formed. Most important association rules found to be between; btc (bitcoin) & aave (nominex), eth (ethereum) & aave (nominex), dot (polkadot) & aave (nominex), neo & aave (nominex), uni (uniswap) & aave (nominex) , btg (bitcoin gold) & etc (ethereum classic), xrp (riple) & algo (algorand) & doge (dogecoin), xrp (riple) & doge (dogecoin), cro (cronos) & xrp (riple) & algo ( algorand) & trx (tron) & doge (dogecoin)