Trpkova-Nestorovska, Marija
Preferred name
Trpkova-Nestorovska, Marija
Official Name
Trpkova-Nestorovska, Marija
Main Affiliation
Email
marija.trpkova-nestorovska@eccf.ukim.edu.mk
64 results
Now showing 1 - 10 of 64
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Item type:Publication, “Modeling the informal economy in EU: Structural equations approach”(Faculty of Economics-Skopje, 2009)Целта на овој труд е моделирање и оцена на неформалната економија во земјите од Европската унија со користење на моделот на повеќекратни индикатори и повеќекратни детерминанти (MIMIC – Multiple Indicators and Multiple causes). Моделот ги вклучува индексите на потрошувачките цени, девизниот курс, државната потрошувачка, краткорочните каматни стапки, долгорочните каматни стапки, стапката на невработености, даночните приходи и наемнините како детерминанти на сивата економија. Бруто домашниот производ, монетарниот агрегат М1 и монетарниот агрегат М3 претставуваат индикатори на неформалната економија. Резултатите покажуваат дека главните детерминанти на сивата економија во ЕУ се државната потрошувачка, инфлацијата, девизниот курс и наемнината. Исто така резултатите покажаа дека постои директна зависност помеѓу неформалната економија и монетарниот агрегат М1. За креирање на моделот и оцената на параметрите се користи софтверот за структрни равенки ЛИСРЕЛ (Linear Structural Equations). При анализата на нестационарност на променливите се користи економетрискиот софтвер EViews. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, “Hierarchical cluster analysis: potential of the tourism up growths in the poorly developed Macedonian municipalities”(Mathematical Institute SANU, Belgrade, 2009); Vasic, VladimirHierarchical cluster analysis is important procedure for segmentation and classification of the municipalities. On the basis on the given analysis, a partition of the municipalities in several homogeneous clusters will be performed, by which the problem of creating strategies for the poorly developed municipalities is significantly simplified. The problem of poorly developed municipalities is the high unemployment of the economically active population, so that by the development of the labor intensive economies (tourism) this problem is mainly solved. Hierarchical cluster analysis will provide an insight on which municipalities belong to created homogeneous cluster, as well as the advantages of the municipalities for the development of the suggested economy. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, “Twostep cluster analysis: Segmentation of the largest companies in Macedonia”(Faculty of Economics and Business Administration, University of Szeged, 2009); One of the important procedures for segmentation and classification of the largest Macedonian companies is twostep cluster analysis. This clustering method is very efficient in classification of large data sets, has the ability to create groups using categorical and continuous variables and it is provided with automatic selection of number of clusters. These are all advantages of twostep analysis compared to the traditional clustering methods. The goal of this paper is to present valuable application of the twostep cluster analysis in segmentation of the Macedonian companies. Every year, the Central Register of Republic of Macedonia and Euro Business Centre - Macedonia present a publication that reveals the 200 largest and most successful companies in Macedonia. In order to reveal the structure of the Macedonian companies, twostep cluster analysis is performed using the following continuous variables: total revenue in 2007, total revenue in 2006, earnings before taxes in 2007, revenue growth rate 2007/2006 and number of employees. Also, one categorical variable is included, type of industry. The analysis successfully manages to create solution of four clusters or four different types of companies on the Macedonian market. The first type represents the most successful companies with significantly high revenues, earnings and stabile growth. These companies come from industries such as communications, electricity and manufacturing, and provide significant employment of the work force. The second type represents companies with relatively smaller revenues and earnings compared to the first type, but yet higher than the country’s average. These are all manufacturing companies with steady growth. The third group has slightly smaller revenues and earnings than the second group, but the difference is that this group represents companies with high revenue growth rate, representing developing companies with significant potential. These are companies that mostly provide services, companies that provide telecommunication and transport, and also few companies from other industries. The last group represents the smallest companies from the analyzed 200 largest companies, having the smallest revenues, earnings and number of employees. These companies will develop further, but with much smaller rate than the companies in the third group. These are all companies that deal with retail and wholesale trade. These findings are useful because mainly they provide the general structure of the largest Macedonian companies. For the potential foreign investors this analysis is an insight to the most lucrative industries in the country. For the government, the presented results give information about which industries dominate in the most successful companies, in order to invest in their development through infrastructure, university education, tax relief and deduction of other expenditures. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, “Applied discriminant analysis in estimation of potential EU members”(University of Craiova, Faculty of Economics and Business Administration, 2010); The purpose of this research paper is to reveal which European countries are most suitable for EU membership using the multivariate method discriminant analysis. Discriminant analysis is useful for building a model for separation of group membership based on observed characteristics of each country. This analysis is used to model the value of a dependent categorical variable EU membership based on its relationship to seven predictors as important variables for EU integration. Final results confirm that all EU countries are correctly classified as members of the EU. On the other side, Croatia, Norway, Serbia, Switzerland, Turkey and Ukraine are non EU members, and according to the results, they should be part of the EU. Since Norway and Switzerland are not part of the EU due to non-economic reasons, the analysis points out Croatia, Serbia, Turkey and Ukraine as most suitable candidates for integration in the EU. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Socio-economic Determinants of Social Spending in the EU(Center for Economic Analyses, 2019-06); ; The rise in social spending during the last century brought about a significant increase in the total government expenditures and according to many studies, also contributed to the rising public debt. The intent of social spending is reducing and alleviating inequality and poverty and enhancing social cohesion. Empirical evidence shows that countries that make greater efforts in social spending manage to reduce income inequality. However, it should not be on the account of endangering sustainability In this paper we examine whether certain socioeconomic variables influence the level of social expenditure in the EU countries in the last two decades. More specifically, we try to tackle the following questions: Do governments reduce social spending when debt rises, in order to avoid fiscal unsustainability? Do countries spend more on welfare in times of an economic downturn, i.e. is social expenditure counter-cyclical? Do countries with larger income inequality also have higher social expenditures aimed at reducing the larger gap? - Some of the metrics are blocked by yourconsent settings
Item type:Publication, “Demographic ageing of Europe and its impact on the birth rate”,(Faculty of Economics-Skopje, 2017)The paper analyzes the demographic ageing in the countries from the European Union in the past half century. Two panel regression models are used to determine the impact of the death rate, percentage of young population, percentage of the old population and the GDP per capita on the birth rate. In the early period (1960-1990) all demographic factors and the economic factor GDP per capita have statistically significant influence on the birth rate. In the latter period (1991-2015) only demographic factors have significant influence on the natallity. The research also offers descriptive analysis for each EU country individually, and classifies the countries in four groups (starting from countries with least favorable demographic situation to countries with positive demographic trends). In general, this paper gives insight on the demographic ageing of the population in EU countries, explains the reasons and the consequences due to this situation, and some possible solutions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, “The organizational learning culture and organizational performance in Macedonian companies”(Inderscience Publishers, 2011); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predicting consumer intention to use mobile banking services in North Macedonia(M-Sphere, 2019-10); ; Smartphones and mobile technologies are becoming increasingly available and affordable in the Republic of North Macedonia. Followed by this trend, many banks are providing banking services to customers via smartphones. They are increasingly investing in mobile channels by providing new mobile banking services. The penetration rate of smartphones is increasing globally and smartphones are the most used devices for access to the Internet in the country i.e. by 81% of Internet users in 2018, and mostly among persons aged 15-24 (91.8%) (State Statistical Office, 2019). Therefore, the goal of this research is to examine predictors of consumer intention to use mobile banking services in North Macedonia. In order to get insights regarding the user adoption of m-banking services in the country, a survey was conducted during April 2019 among more than 150 mobile users. The research model proposed in this study examines the influence of several basic constructs that explain technology acceptance and innovation diffusion. In addition, its originality and practical implications is reflected in determining the significance of additional constructs that are specific for the m-banking domain, such as social image and bank’s reputation. The results of the empirical study are supporting the proposed basic constructs of the model and some specific relationships are unveiled. By highlighting the usefulness of integrating constructs from different theories of technology acceptance, this research is a holistic approach representing a solid base for future studies on the adoption of new technologies in the country. From practitioner’s viewpoint, this research offers valuable insights for developing m-banking solutions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Government Revenue–Expenditure Nexus in Southeast Europe: A Bootstrap Panel Granger-Causality Approach(Eastern European Economics, 2020-02); ; This article presents one of the first attempts to explore the relationship between government revenues and government expenditures in six Southeast European countries for the period 1999–2015, employing a bootstrap panel Granger-causality approach, which provides insight into the nature and direction of their relationship in each country. The empirical results indicate a unidirectional relationship from government revenues to government expenditures in five countries (Albania, Bulgaria, Croatia, Serbia, and Slovenia), confirming the revenue-expenditure or tax-spend hypothesis. The findings offer support for the fiscal synchronization hypothesis only in Macedonia, where bidirectional causality between government revenues and government expenditures was found. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors affecting current account in the Republic of Macedonia(Center of Economic Analysis- CEA, 2015); Large and persistent current account deficit in most of the transition countries have attracted considerable attention, especially with the beginning of the world economic crisis. Even though common trends in the transition countries are included in the analysis, the main focus of this paper is to provide theoretical and empirical study of the main determinants of the current account in Macedonia. Multiple regression model with ordinary least squares estimator (OLS) was used for the analyzed period January 2003 – September 2012. According to the results, the variables: budget deficit, foreign direct investments, ratio of export and import, new approved credits are statistically significant determinants of the current account in Macedonia. In general, these are structural factors that affect the external imbalance. Still, part of the deepening of current account deficit (especially during third quarter of 2007 and first quarter of 2009) appears to be related to external shocks: global increase of the prices and world economic crisis. These cyclical factors reversed alongside the economic recovery during 2009, and the current account deficit was back to its average levels. This indicates the urgent need for structural changes in the Macedonian economy in order to decrease its external vulnerability in the future.