Journal articles on the topic 'Foreign Econometric models'
To see the other types of publications on this topic, follow the link: Foreign Econometric models.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Foreign Econometric models.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Islam, Tamanna, Ashfaque A. Mohib, and Shahnaz Zarin Haque. "Econometric Models for Forecasting Remittances of Bangladesh." Business and Management Studies 4, no. 1 (December 13, 2017): 1. http://dx.doi.org/10.11114/bms.v4i1.2860.
Full textAbstract:
At present, the remittance of Bangladesh (RB) is the largest source of foreign exchange earning of the country. The RB plays a critical role in alleviating the foreign-exchange constraint and supporting the balance of payments, enabling imports of capital goods and raw materials for industrial development. Remittance from overseas migrant workers certainly increases the income disparity between classes of the rural society. Therefore forecasting plays an important role to know the future situation of economic condition. This paper employed the prospective data on RB to derive a unique and suitable forecasting model. The data were collected from Bangladesh Bank (BB) during January, 1998 to December, 2003. The Autoregressive Integrated Moving Average (ARIMA) and the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models were used to find out the best one. The findings indicated that the ARIMA (0,1,1) (0,2,1)12 and the GARCH (2,1) models were appropriate for our data and the GARCH (2,1) model appeared to be the best one between these.
2
Zoidov, Kobiljon Kh, and Zafar K. Zoidov. "Gravitational econometric models of foreign trade of the EAEU+ countries: analysis, assessment and search for sources of inclusive economic growth." Market economy problems, no. 3 (2021): 196–226. http://dx.doi.org/10.33051/2500-2325-2021-3-196-226.
Full textAbstract:
The article presents an analysis and assessment of Russia's foreign trade cooperation based on the gravitational econometric model with other EAEU+ countries with which there are stable economic relations. Inclusive growth is understood as economic growth aimed at creating favorable conditions for improving the quality of life and ensuring equal opportunities for all groups of the population in the national economy. Ensuring economic inclusion is the most important condition for sustainable economic growth. The main idea of the approach is a gravitational econometric model of foreign trade and foreign trade turnover, which directly depends on the economic capabilities of trading countries (GDP) and inversely depends on the distance between these countries. Goal. To test the hypothesis that the growth of income from trade is possible in the future, taking into account the growth of GDP in the EAEU+ member states. To develop gravitational econometric models of Russia's foreign trade within the framework of the development and expansion of the EAEU. Tasks. To present a retrospective analysis of the foreign economic activity of Russia and other EAEU+ countries in the period from 1991 to 2021. To analyze, evaluate and search for sources of inclusive economic growth based on the use of gravitational econometric models of foreign trade of the EAEU+ countries. Methodology. The methods of system analysis, classification and comparison, evolutionary-institutional theory and analytical approach were applied in the course of the study. Results. The high empirical accuracy of gravitational econometric models, demonstrated by their use in research, allows us to build the most reliable medium-term forecasts of economic growth and development of foreign trade, to search for the optimal scenario for the realization of the export potential of the national economy to adapt to the geo-graphical trade race. It should be noted that the use of gravitational economic models to identify trade relations that can be implemented both locally and globally. Conclusions. Based on the results of the gravitational econometric model of foreign trade, it is established that in the future the growth of trade turnover between the EAEU+ countries are possible taking into account the GDP growth of these countries. The EAEU+ countries have significant economic potential to increase mutual trade flows and further integration into world trade.
3
Chen, An-Sing, and Mark T. Leung. "Dynamic Foreign Currency Trading Guided by Adaptive Forecasting." Review of Pacific Basin Financial Markets and Policies 01, no. 03 (September 1998): 383–418. http://dx.doi.org/10.1142/s0219091598000247.
Full textAbstract:
The difficulty in predicting exchange rates has been a long-standing problem in international finance as most standard econometric methods are unable to produce significantly better forecasts than the random walk model. Recent studies provide some evidence for the ability of multivariate time-series models to generate better forecasts. At the same time, artificial neural network models have been emerging as alternatives to predict exchange rates. In this paper we propose a nonlinear forecast model combining the neural network with the multivariate econometric framework. This hybrid model contains two forecasting stages. A time series approach based on Bayesian Vector Autoregression (BVAR) models is applied to the first stage of forecasting. The estimates from BVAR are then used by the nonparametric General Regression Neural Network (GRNN) to generate enhanced forecasts. To evaluate the economic impact of forecasts, we develop a set of currency trading rules guided by these models. The optimal conditions implied by the investment rules maximize the expected profits given the expected changes in exchange rates and the interest rate differentials between domestic and foreign countries. Both empirical and simulation experiments suggest that the proposed nonlinear adaptive forecasting model not only produces better forecasts but also results in higher investment returns than other types of models. The effect of risk aversion is also considered in the investment simulation.
4
Lieu, Derming. "Estimation of empirical pricing equations for foreign-currency options: Econometric models vs. arbitrage-free models." International Review of Economics & Finance 6, no. 3 (January 1997): 259–86. http://dx.doi.org/10.1016/s1059-0560(97)90038-1.
Full text
5
Mahmoudi, Saeid, Nasser Nasiri, and Saeid Hajihassaniasl. "Investigating the Factors Affecting Foreign Direct Investment in Selected Muslim Countries: A Panel Data Approach." Turkish Journal of Islamic Economics 8, no. 1 (February 15, 2021): 153–75. http://dx.doi.org/10.26414/a132.
Full textAbstract:
This paper attempts to test the effects of foreign direct investment on selected Islamic countries by using spatial econometric analysis. For this purpose, foreign direct participation and investment data from selected countries were used as panel data between 2000-2013 years period. The foreign direct investment equation is estimated using static (fixed and random effects) and dynamic (Generalized Method of Moments) methods as panel data in both conventional and spatial econometric models. The results of the estimated model show the existence of spatial correlations between selected countries and hence the use of this type of estimation is justified. On the other hand, the variables of degree of openness of the economy and economic security have a positive and significant effect on attracting foreign direct investment in the studied countries while inflation rate, economic growth and human capital solely have no significant effect on foreign direct investment in these countries.
6
Terzi, Chokri, and Anis El Ammari. "An Econometric Forecasting Model for Foreign Trade: Evidence From Tunisia." Journal of Advance Research in Mathematics And Statistics (ISSN: 2208-2409) 5, no. 8 (August 31, 2018): 01–14. http://dx.doi.org/10.53555/nnms.v5i8.531.
Full textAbstract:
In this paper and without application because of the not availability of the data, the authors propose specific models in static and dynamic framework to analyze and forecast the evolution of the main components of the foreign trade of the Tunisian economy. For instance, they model and interpret the elasticities of imports and exports to changes in the prices and income. This approach thereby adds theoretical depth to a model that has a good forecasting performance. This paper is one among rare papers which focus on the modelling of the Tunisian foreign trade based on this approach.
7
Stavytskyy, Andriy, and Daria Martynovych. "THE ECONOMETRIC MODELING OF UKRAINIAN MACROECONOMIC TENDENCIES." Ekonomika 91, no. 1 (January 1, 2012): 79–92. http://dx.doi.org/10.15388/ekon.2012.0.906.
Full textAbstract:
Econometric models are widely used in economic policies of many states. They help to build a great variety of econometric systems for every country and take into account the specifics of each economy.In this article, the structural macroeconomic models that describe the main aspects of the economic policy were applied. The interdependence between the level of inflation, the value of investment, savings, consumption, export and import transactions, taxes on the foreign trade were defined based on the analysis of the key macroeconomic parameters of Ukraine. After investigating all economic indicators, they were transformed into stationary time series for a correct use in the model. In addition, heteroscedasticity and autocorrelation of residuals were excluded in all econometric equations.As a result, the research shows that a large share of black economy leads to a rather high level of inflation in the state, because its value is primarily determined by expectations of the population under such circumstances. The paper indicates that the further export growth leads to a lower consumption growth and also to a lower growth of savings. Such a situation indicates an insufficient development of the domestic market. Investment growth has been fund not to be directly linked to consumption increase and economic development in general. Unfortunately, the main sources of investment in Ukraine are the funds of enterprises and foreign sources. The analysis shows a need to encourage public involvement into investment processes. For example, the creation of public–private partnerships is especially useful while implementing infrastructural projects.
8
Sun, Wenxiang, Jisheng Peng, Juelin Ma, and Weiguo Zhong. "Evolution and performance of Chinese technology policy." Journal of Technology Management in China 4, no. 3 (September 25, 2009): 195–216. http://dx.doi.org/10.1108/17468770911013528.
Full textAbstract:
PurposeThe purpose of this paper is to analyze the evolution of Chinese technology policy, assess its technological and economic performance from the visual angle of “market in exchange for technology” strategy.Design/methodology/approachA quantified method based on policy contents from policy power, policy goals and policy means was developed to build a policy database, and analyze the evolutionary tendency of Chinese technology policy. In addition, econometric models were built to assess the performance of technology policy.FindingsThe critical goals of Chinese technology policy are introducing technology directly or indirectly by introducing foreign investment and innovation, but the critical linkage between introduction and innovation‐technology absorption was absent – almost all policy means aim at the introduction of foreign investment and innovation but not technology absorption. More unfortunately, the econometric results show that introduction of foreign investment contributes little, while technology absorption contributes much more. Institutional path‐dependence and the competition for benefits among different departments have aggravated an already unbalanced emphasis on technology policies during the reform.Research limitations/implicationsDuring the quantification of technology policy, one perhaps loses some information about policy, and it can only be used to analyze the technology policy system, not special technology policy.Practical implicationsAnalyses of the evolution of Chinese technology policy and econometric results show the blunder of “market in exchange for technology” strategy from policy formulation and execution. Also, it leads to the optimization of technology policy from policy targets, implements based on national technology and innovation strategy.Originality/valueThe paper develops the method of technology policy quantification and builds econometric models to assess the contribution of technology policy to technology progress and economy development.
9
Bobrovnik, Denis. "МОДЕЛЮВАННЯ ВПЛИВУ ІНОЗЕМНИХ ІНВЕСТИЦІЙ НА РОЗВИТОК СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ." PROBLEMS AND PROSPECTS OF ECONOMIC AND MANAGEMENT, no. 4(20) (2019): 238–45. http://dx.doi.org/10.25140/2411-5215-2019-4(20)-238-245.
Full textAbstract:
The article deals with the peculiarities of using econometric modeling methodology to analyze the relationship between the development of the agricultural industry and the individual factors that determine its functioning. The importance of at-tracting foreign investment in the agricultural sector of Ukraine is substantiated, and linear one-factor models of the depend-ence between agricultural production and total foreign direct investment, between the level of the profitability of agricultural enterprises and the volume of such investments are constructed. The adequacy of the obtained models is estimated.
10
Salem, Mohamed, and Andrew Baum. "Determinants of foreign direct real estate investment in selected MENA countries." Journal of Property Investment & Finance 34, no. 2 (March 7, 2016): 116–42. http://dx.doi.org/10.1108/jpif-06-2015-0042.
Full textAbstract:
Purpose – The purpose of this paper is to identify the main determinants of foreign direct real estate investments (foreign direct investment (FDI)) in selected Middle Eastern and North African (MENA) countries. Design/methodology/approach – The empirical work of this study is an econometric analysis of FDI in the commercial real estate sector for eight MENA markets, namely Algeria, Egypt, Morocco, Qatar, Saudi Arabia, Turkey, Tunisia and the UAE during the period 2003-2009. The econometric analysis is carried out using the pooled Tobit model technique for panel data. Findings – The paper finds that both country-specific factors and real estate sector-specific variables consistently support hypotheses explaining commercial real estate-related FDI, and find evidence that political stability explains why some selected MENA countries attract more real estate investments than other MENA countries. Practical implications – The findings should be seriously considered in any policy making effort on the part of governments in the region. Originality/value – The authors contribute to the existing literature in many ways. First, the study aims to develop econometric models, using both conventional and unique variables, to be generalised and applied to any developed or emerging market. The study applies relevant techniques in estimating the models, including the pooled Tobit model. Second, the research studies eight selected MENA real estate markets from 2003 to 2009, a timeframe and geography not examined in previous published empirical work on commercial real estate investments. Lastly, and for the first time in real estate literature, the study applies the location dimension of Dunning’s OLI paradigm as a theoretical explanation for the behaviour of foreign investors in commercial real estate towards the selected MENA markets.
11
Madiyarova, Diana Makayevna, and Maxim Vladimirovich Terletskii. "Methodological approaches to determining the impact of barriers on international trade." Mezhdunarodnaja jekonomika (The World Economics), no. 9 (September 20, 2021): 713–27. http://dx.doi.org/10.33920/vne-04-2109-06.
Full textAbstract:
Today, within the framework of the functioning of foreign trade policy, there are two main opposing models: protectionism and free trade. Recently, the situation is developing towards the dominance of the policy of protectionism over the policy of conducting free trade, since there is a continuous increase in the number of non-tariff measures and the manifestation of trade wars. This situation leads to the need for a policy of trade liberalization. Implementing a foreign trade policy aimed at eliminating trade barriers is not a quick process and requires a thoughtful scientific assessment. To analyze the criticality of the situation of the absence of a free trade policy and to reflect its validity, a very wide methodological toolkit is used to study various kinds of trade barriers, ranging from the calculation of the simplest indicators to the construction of complex econometric models. This study provides a comprehensive review of the main methodological approaches to determining the impact of tariff and non-tariff barriers on the international trade activities of countries. In the scientific review work, 4 domestic and 24 foreign sources, formed on the basis of 21 resources, were involved in the search for literature. The results of the review analysis of research papers showed that in the study of tariff and non-tariff barriers, researchers mainly use three econometric models, namely gravity model, partial equilibrium model and general equilibrium model. In addition, the study of non-tariff barriers can be carried out in the context of two other methods besides the econometric one: the implementation of the "price gap" method and the derivation of "incidence indicators".
12
Басовский and Leonid Basovskiy. "The Kondratieff Cycles and Technological Modes in the Economies of Russia and Developed Countries." Economics 2, no. 4 (August 15, 2014): 4–10. http://dx.doi.org/10.12737/5446.
Full textAbstract:
The paper presents research program for studying the Kondratieff cycles and
technological modes in the Russian and foreign countries economies. It is proposed
to identify Kondratieff (long) cycles through the use of spectral analysis
and econometric models of economic dynamics, and further, based on findings
on Kondratieff cycles, to design models of economic dynamics that reflect the
productivity of different technological modes. It is further proposed to build
technological modes based on V. Maevsky’s proposals. To evaluate how production
factors affect the process of technological modes development the
author proposes to build econometric models in the form of Cobb-Douglas
functions. To feed the models cross-sectional data provided by the Russian
Federal State Statistics Service should be used with the breakdown by regions.
Through the above-mentioned techniques the author has succeeded in identifying
Kondratieff cycles for a number of developed economies. Using the econometric
models with piecewise linear functions of technological modes impact
the author evaluates of modern technological modes efficiency in the developed
economies. Also the development of the fifth and the sixth technological modes
in the Russian economy is assessed. The author also forecasts the pace of
transiting to new technological modes in the RF and the foreign countries
for the period until 2030. It is evidenced that if current trends are in play,
the percentage of new technological modes in Russia will reach 30 per cent,
while in the developed economies the percentage of new technological modes
will get close to 100 per cent.
13
Tendziagolskytė, Dalia, and Rimantas Rudzkis. "Econometric Modelling of Lithuanian Labour Market." Lietuvos statistikos darbai 53, no. 1 (December 20, 2014): 40–52. http://dx.doi.org/10.15388/ljs.2014.13893.
Full textAbstract:
Lithuanian labour market indicators, such as the total number of employees, the number of employees in the private and public sectors, the number of the unemployed, labour force, employment and unemployment rates, the relative number of employees, average monthly gross income are analysed in the paper. The experience of foreign countries and Lithuania in creating labour market models and econometric methodology has been examined. As a result, a new model of the Lithuanian labour market is produced, comprising five regressive equations, which are part of the recursive SVAR model, and four identities, which are part of balance equations. According to the logic of economic and other research, relevant connections in the economy have been specified, unknown parameters of equations have been estimated. Finally, forecasts of endogenous indicators for 2014 have been provided, and results have been compared with the projections of the main labour market indicators for 2014−2017, published by the Ministry of Finance. Calculations have been made using a statistical package Gretl.
14
Al-karasneh, Huthaifa, Ashraf Bataineh, Osama Hayajneh, and Omar Khodirat. "Does foreign portfolio investment improve the economic growth of Jordan?" Accounting 7, no. 7 (2021): 1669–74. http://dx.doi.org/10.5267/j.ac.2021.5.003.
Full textAbstract:
This paper aims to examine the impact of short and long-term active Foreign Portfolio Investments (FPI) on Jordan Economic Growth (EG) thru (1996-2017) by employing some econometric methods like ARDL and Error Correction Models to reach the study results. Findings reveal that FPI have a long-term statistical positive impact on EG at level (5%) and also have a short-term negative impact on EG at level (5%), where EG needs about ten years to reach a full adjustment.
15
Karmeliuk, Hanna, Svitlana Plaskon, and Halyna Seniv. "Econometric estimation of the pension in Ukraine." Herald of Ternopil National Economic University, no. 2(84) (May 31, 2017): 48–59. http://dx.doi.org/10.35774//visnyk2017.02.048.
Full textAbstract:
The research paper analyzes the dynamics of minimum and average pensions, minimum wage, living wage, consumer price index, and gross external debt of Ukraine. The causal connections between the minimum pension and the researched parameters are presented in UAH and dollar terms. The necessity of econometric modeling for studying socio-economic indicators of living standards is highlighted. The main trends of the impact of the minimum wage, the living wage, the consumer price index, the gross external debt on the minimum pension are overviewed. The predicted values of the minimum pension in Ukraine in UAH in 2017-2021 are calculated, and the confidence intervals of them with a high degree of confidence are given. The ratio of the minimum pension to the minimum wage in UAH and dollar terms is calculated. The econometric models of the dependencies of minimum pension on the minimum wage are presented in UAH and dollar terms. According to econometric models a rise of the minimum wage is accompanied by a rise of the minimum pension. The econometric models of the dependencies of the minimum pension on the subsistence minimum in UAH and dollar terms are presented. According to the models, a rise of the subsistence minimum is accompanied by an increase in the minimum pension. Also, the econometric models of the dependencies of the minimum pension on the consumer price index in UAH and dollar terms are developed. The econometric models prove that a rise of the inflation rate leads to a rise of the minimum pension. Since 2014 the growth of consumer price index has been accompanied by a rapid decline of the minimum pension in dollar terms. The econometric model which shows the dependence of the consumer price index on the minimum pension is developed in UAH and dollar terms. From the model it follows that an increase of the minimum pension results in higher inflation. The econometric models of the dependencies of the minimum pension on the gross external debt are presented in UAH and dollar terms. It is shown that by 2014, foreign loans in UAH and dollar terms were welcome in order to raise pensions which led to the rapid rise of the latter. In recent years the growth of debt in the UAH slightly affected the growth of the minimum pension in UAH, whereas the growth of debt in dollars led to a significant decline in the minimum pension in dollar terms.
16
Svetlana V. Doroshenko Ksenia A. Posysoeva, Svetlana V. Doroshenko Ksenia A. Posysoeva, and Svetlana V. Doroshenko Ksenia A. Posysoeva Svetlana V. Doroshenko Ksenia A. Posysoeva. "Econometric Estimation of Strategic Development Factors of Russian Border Regions." Economy of Region 17, no. 2 (June 2021): 431–44. http://dx.doi.org/10.17059/ekon.reg.2021-2-6.
Full textAbstract:
Cross-border development is significantly influenced by global events, such as 1990s transformations, when different inland areas across the world became borderlands. Further, due to 2014 geopolitical changes, the Russian Federation had to establish a new institutional framework regulating the border regional development. The research aims to assess the impact of strategic factors on socio-economic development of these regions. For that purpose, we analysed 47 of 50 Russian border entities divided into two groups of old and new (established after the collapse of the USSR in 1991) border regions. We hypothesise that the factors considered as strategic in these territories manifest differently in old and new border regions. Empirical data, obtained from the Federal State Statistics Service and Unified Interdepartmental Statistical Information System, cover the period from 2000 to 2018. The simulation was conducted using the statistical package Stata 14. We analysed five groups of factors (transport infra- structure, small business, foreign trade, tourism, ecology) as well as corresponding indicators. Gross regional product per capita in comparable prices of 2018 was considered as a dependent variable. Then, we assessed three models explaining the impact of the examined factors on old and new border regions individually and in combination. For each model, pooled regression, as well as random and fixed effects models were constructed. Conducted simulations revealed that the fixed effects models best describe the analysed data. The research results confirmed the hypothesis, showing that transport infrastructure and tourism are more important for new border regions, while the factors of ecology, small business and foreign trade have a greater impact on the development of old borderlands.
17
Ovcharov, A. O., and A. M. Terekhov. "Econometric analysis of the use of biological assets in agricultural organizations." Statistics and Economics 17, no. 1 (March 10, 2020): 79–87. http://dx.doi.org/10.21686/2500-3925-2020-1-79-87.
Full textAbstract:
The purpose of the study. The purpose is to analysis the use of biological assets through econometric models and quantifies the relationship between economic indicators of agricultural activity. The article is devoted to the possibilities of econometric analysis in the context of limited empirical data on Russia regarding the use of biological assets.Materials and methods. The article analyzed the Russian and foreign bibliography on the problems of biological assets research. In the context of the study of biological assets, the possibilities of using econometric analysis methods based on spatial, temporal or panel data are shown. A multi-regression model based on three groups of indicators (livestock and crop indicators, as well as indicators reflecting agricultural development in general) and implemented in two phases has been built. This model allowed making estimates of the impact of biological assets on the value of agricultural products in Russia. The methods of correlation analysis investigated the closeness of the relationship between the variables in the model. The initial data for this study were the annual data for the period 2000–2018. An array of more than 150 observations was used. For the purpose of comparability, this array has been converted into relative values, i.e. econometric analysis was carried out on growth rates.Results. This article highlights the main areas of research on biological assets presented in the works of Russian and foreign scientists-economists. It is concluded that there are a wide range of issues of assessment and accounting of biological assets in Russian publications and in the context of the transition to international reporting standards. These problems are not relevant for foreign researchers – in foreign publications presented mainly the search for effective mechanisms for assessing the market value of biological assets using complex econometric models. The article substantiates the importance of using econometric analysis methods in Russian conditions, highlights a number of areas of such analysis and presents a multifactorial regression model. The implementation of the model allowed quantifying the hypothesis of the strong impact of biological asset productivity on the value of agricultural organizations. Based on the construction of the trend line and the choice of the optimal value of the value of the value of the approximation, a short-term forecast of the value of agricultural products produced by livestock and crop production was made. In addition, the correlation matrix assesses the closeness of the relationship between economic indicators.Conclusion. Economic analysis of biological assets should include a variety of areas – valuation, accounting and auditing, insurance and leasing, efficient use and management. The debate between proponents and opponents of the valuation of biological assets at fair value as an alternative to historical value accounting is of particular relevance today. Many issues relating to the valuation and use of biological assets can be addressed by econometric analysis techniques. In Russian practice, this approach is not yet widespread. However, it is it that it quantifies the complex links between economic variables (including biological assets) that characterize agricultural activities.
18
Hanna, Rema. "US Environmental Regulation and FDI: Evidence from a Panel of US-Based Multinational Firms." American Economic Journal: Applied Economics 2, no. 3 (July 1, 2010): 158–89. http://dx.doi.org/10.1257/app.2.3.158.
Full textAbstract:
This paper measures the response of US-based multinationals to the Clean Air Act Amendments (CAAA). Using a panel of firm-level data over the period 1966–1999, I estimate the effect of regulation on a multinational's foreign production decisions. The CAAA induced substantial variation in the degree of regulation faced by firms, allowing for the estimation of econometric models that control for firm-specific characteristics and industrial trends. I find that the CAAA caused regulated multinational firms to increase their foreign assets by 5.3 percent and their foreign output by 9 percent. Heavily regulated firms did not disproportionately increase foreign investment in developing countries. (JEL F23, K32, L51, Q52, Q53, Q58)
19
Rudzkis, Rimantas, and Roma Valkavičienė. "ECONOMETRIC MODELS OF THE IMPACT OF MACROECONOMIC PROCESSES ON THE STOCK MARKET IN THE BALTIC COUNTRIES." Technological and Economic Development of Economy 20, no. 4 (December 16, 2014): 783–800. http://dx.doi.org/10.3846/20294913.2014.949901.
Full textAbstract:
The article examines the dependencies of individual sectoral stock price indices of OMX Baltic security market on macroeconomic indicators, using econometric methods. Regression models are constructed using quarterly time series of 2000–2011 years while the methodology is backed with the findings of Lithuanian and foreign scientists from an extensive overview of specific literature. Regression equations, obtained in the paper, allows us to identify the key macroeconomic and global indicators that statistically significantly affect the Baltic securities market and to quantify their impact on the stock price indices of individual sectors in the Baltic countries. Econometric analysis of OMX Baltic security market proves the hypothesis that the set of macroeconomic regressors may vary considerably depending on the individual sector's price indices, especially in the case of small open economy with immature stock markets. The paper provides investors who are shaping their portfolios taking into account the macroeconomic forecasts with additional opportunities on the basis of sectoral stock price indices regression equations.
20
Kregždaitė, Rusnė. "Aggregate Demand Model for Theatre in Lithuania." Coactivity: Philosophy, Communication 22, no. 2 (February 20, 2014): 159–66. http://dx.doi.org/10.3846/cpc.2014.15.
Full textAbstract:
The aim of this article is to analyse aggregate demand for theatre which is the demand for the whole theatre sector described by the box office performance. In reference to foreign authors’ models a demand model for theatre in Lithuania was created which allows to analyse the relations between theatre demand and social or economical structure. The econometric models with time series model expression were used. Proposed methods could be applied to the analysis of the other sectors of cultural and creative industries.
21
Khan, Ashfaque H. "Ashok Parikh. The Estimation and Forecasting of Trade Shares. Bangkok: United Nations Publication, 1986.344 pp.(Development Papers No.5)." Pakistan Development Review 28, no. 2 (June 1, 1989): 168–70. http://dx.doi.org/10.30541/v28i2pp.168-170.
Full textAbstract:
Macro-econometric' models have proved their worth as tools of intelligent policy-making in a large number of countries where the required data are reasonably good. Hence, despite lingering doubts cast by the rational-expectations school about its utility for macro-economic management, macro-econometric model building has continued unabated. It is, however, well known that national econometric models tell an incomplete story about the international linkages of national economies. Even though every respectable national model contains foreign trade equations, the country-Wide macro-models do not contain the equations to permit the model-builders to incorporate explicit1y the inter-country linkages. It was this realization that led to the creation of Project LINK at the University of Pennsylvania in 1968 under the supervision of Professor Lawrence Klein. Similar efforts are also being pursued by the ESCAP Secretariat thrOUgh Project Asian SUb-Unk to promote a better understanding of the extent of interdependence among the economies of the region. Lately the Asian and Pacific Development Centre, (APDC) in collaboration with the Pakistan Ipstitute of Development Economics (PIDE), has undertaken similar efforts to link the economies of South Asian countries to promote a better understanding of the extent of interdependence through international trade among the economies of the region.
22
Margaryan, Atom, Haroutyun Terzyan, and Emil Grigoryan. "Telecommunications sector of Armenia and Baltic countries: the impact of foreign direct investment attraction." Economic Annals-ХХI 185, no. 9-10 (November 21, 2020): 99–107. http://dx.doi.org/10.21003/ea.v185-10.
Full textAbstract:
We examine the institutional and investment developments in the telecommunications sector of Armenia in the last two decades and compare them with those of the Baltic countries, namely, Latvia and Lithuania. In particular, directions of foreign investments made in the sector and the impacts on economic and technological systems of Armenia and the chosen Baltic countries have been thoroughly analyzed. During the analysis, an economic model has been used to assess the impact of foreign direct investments on the income (revenues) of the telecommunications sector of the countries under investigation. Econometric analysis made it possible to consider the above-mentioned links in more depth and in detail. First, a correlation analysis has been carried out which has proved the validity of the hypotheses that there is a strong connection between FDI and the revenue of the telecommunications sector in Armenia and Latvia in the considered time period of 2009-2019. The causal roots of the relationships between the two variables have been studied. After processing the statistical data and refining the model specifications, an econometric model for Armenia has been proposed with the help of which the key relationships have been clarified. The evaluated model, which satisfies the basic quality of econometric models, helped to draw important conclusions on the depth and nature of the impact of foreign direct investment volume on the income of the telecommunications sector in Armenia. The model clearly shows the unstable influence of foreign direct investments on income, which confirms the riskiness of the Armenian economy as a whole, since the country has been in an economic blockade and in a state of war with a neighbouring state for more than 20 years.
23
Zarić, Snježana. "Determinants of foreign direct investment in Central and Eastern Europe: Panel data analysis results." Anali Ekonomskog fakulteta u Subotici, no. 48 (2022): 35–49. http://dx.doi.org/10.5937/aneksub2248035z.
Full textAbstract:
The diffusion of technology and the knowledge spillover that accompanies foreign direct investment have made all countries, especially those in transition, interested in this type of capital inflow. Accordingly, in this paper, we have applied econometric panel models to identify determinants of foreign direct investment in Central and Eastern European countries. Our results indicate that differences in foreign direct investment flow in the analysed countries can, to a large extent, be explained by traditional factors such as the availability of skilled labour force, labour costs, infrastructure quality, and market size. In addition, the quality of institutions, primarily democratic government, an independent judiciary, and the absence of corruption, also significantly influence foreign companies' decisions about where to invest in countries in the region.
24
Do, Quynh Anh, and Anh Duc Le. "Effect of foreign direct investment on wage inequalities between skilled and unskilled workers in Vietnam." Economics and Finance Letters 10, no. 1 (January 16, 2023): 13–21. http://dx.doi.org/10.18488/29.v10i1.3254.
Full textAbstract:
Foreign direct investment (FDI) can bring many benefits to the host country's economy, but not all citizens in that country benefit equally. This study aimed to analyze the impact of FDI on wage inequality between skilled and unskilled workers in Vietnam. The study used an econometric model, applying systematic generalized method of moments (GMM) estimation to panel data from 63 Vietnamese provinces in the period from 2010 to 2018 to analyze the impact of FDI on wage inequality. The empirical results from the econometric models using systematic GMM showed that FDI tends to increase wage inequality in localities. The results of this study suggest that to ensure sustainable development, policies to attract and use FDI need to be linked with social security policies and efforts to reduce wage inequality. Based on the research results, the study proposes some policy implications to minimize the negative impact of FDI on wage inequality in Vietnam.
25
Vidales, María, and Carmelo García-Pérez. "Financing sources and social development: an empirical analysis." Social Responsibility Journal 15, no. 5 (August 5, 2019): 640–57. http://dx.doi.org/10.1108/srj-06-2018-0149.
Full textAbstract:
PurposeThe purpose of this paper is to analyse, from an empirical point of view, the importance of each of the main sources of funding in developing countries (foreign direct investment, official development assistance, external debt and remittances) in achieving sustainable, social and inclusive development.Design/methodology/approachThe methodology followed to achieve this purpose is the construction of three econometric models. The general model incorporates as a dependent variable the Human Development Index (HDI) and, as explanatory variables, the four sources of funding indicated above, as well as three exogenous variables (human capital, corruption and natural resources). This model is complemented by two extensions that aim to analyse the behaviour of explanatory variables in reducing inequalities and improving each of the HDI components.FindingsThe results of the estimations of the econometric models show that foreign direct investment and remittances are the sources of funding with the greatest impact on achieving development. Moreover, official development assistance while not making a positive contribution to the achievement of development as a whole, could be adequate to reduce inequalities.Originality/valueThe added value of this paper consists in carrying out a joint analysis of these four sources of funding because previous researches focussed the attention on some of them, drawing partial conclusions. The conclusion of this study is that the four sources of funding analysed can be considered complementary to promote sustainable and inclusive development, although foreign direct investment has a much more important role.
26
Basovskaya, Elena, and Leonid Basovskiy. "Some Problems of the Transition to a Foreign Economy in Modern Russia." Scientific Research and Development. Economics 9, no. 5 (November 3, 2021): 54–57. http://dx.doi.org/10.12737/2587-9111-2021-9-5-54-57.
Full textAbstract:
The aim of the work was to identify the problems of transition to a new post-industrial - information economy. To analyze and identify problems, the construction of econometric models of extended production functions was used. The main most com-mon reason for the contradictory influence of new information and digital technologies on the economy in the country is the failure of institutions to meet the requirements of the new economic system. Another important reason is the widely used outdated admin-istrative and control style of management, characteristic of the industrial economy, the difficulties in mastering the use of digital technologies by management personnel.
27
Sharma, Om, and Rajendra Bhand. "Foreign Trade and Its Effects on Nepalese Economic Development." Journal of Nepalese Business Studies 2, no. 1 (September 13, 2006): 13–32. http://dx.doi.org/10.3126/jnbs.v2i1.51.
Full textAbstract:
Having with the objectives of understanding the effects of foreign trade on the economic development process of Nepal, this paper attempts to deal the role and the impact of export and import along with many other pertinent factors. The determining factors that have been considered along with export are capital stock, labor force, average propensity to save (APS), relative price index (RPI), ratio of government development expenditure to GDP. Moreover, GDP, PCI, and growth rate of GDP are the assumed development indices. These macro variables are introduced through the application of various econometric models. The empirical results have been estimated by applying annual data for the period of 1974/'75 to 2002/'03. The different models in linear and log-linear forms have justified that exports growth leads to economic growth. Therefore, the policy of adequate investment in export-oriented industries that embody a 'proper mix' of export promotion and import substitutions is suggested.
Journal of Nepalese Business Studies Vol.2(1) 2005 pp.13-32
28
Bista, Raghu Bir. "Economic Liberalization in Nepal: Determinants, Structure, and Trends of FDI." Winners 18, no. 1 (March 31, 2017): 33. http://dx.doi.org/10.21512/tw.v18i1.4051.
Full textAbstract:
This research examined the relationship between FDI (Foreign Direct Investment) and GDP (Gross Domestic Product) along with the impact of FDI determinants on FDI inflow in Nepal. This research used literature review by doing multiple regression models. This research used an econometric model based on Cobb Douglas Production Model and a theoretical growth model based on Solow Growth. The result indicates the positive relationship between GDP and FDI. Furthermore, liberalization and privatization policies are positive, but insecurity is disturbing.
29
Plaskon, Svitlana, Halina Seniv, Ivan Novosad, and Vadym Masliy. "APPLICATION OF ECONOMETRIC MODELING IN THE EVALUATION OF FOREIGN ECONOMIC ACTIVITY OF UKRAINE." Economic Analysis, no. 30(3) (2020): 25–32. http://dx.doi.org/10.35774/econa2020.03.025.
Full textAbstract:
Introduction. Foreign trade operations significantly affect the development of each country's economy, in particular the value of gross domestic product, which is one of the main indicators of economic development and welfare of population. Therefore, it is necessary to study and model the impact of exports, imports and net exports on macroeconomic indicators of Ukraine. Purpose. The purpose of the article is to analyze publications that consider export-import operations of Ukraine, study of statistical information in this area, construction and analysis of econometric models of the dynamics of foreign trade operations of Ukraine and their impact on gross domestic product. Method. The article uses regression-correlation analysis as one of the main research methods; time series theory; methods of mathematical modeling. Results. The dynamics of foreign economic operations and gross domestic product of Ukraine are researched and analyzed. It is revealed that the balance of export-import operations has a significant impact on the gross domestic product of Ukraine. An econometric model of the dependence of the nominal gross domestic product on the value of exports of goods and services (coefficient of determination 0.9795) is calculated, using statistical information for 2005-2019 years. It is substantiated that with the increase in exports of goods and services by UAH 1 billion Ukraine's nominal GDP grows by an average of UAH 2.2642 billion. The value of coefficients of import dependence and coverage of import by export in foreign economic operations of Ukraine are analyzed. It is noted that the coefficient of import dependence significantly exceeds the allowable level in the study period, due to certain imbalances in foreign trade relations. The coefficient of coverage of imports by exports only in 2005 was greater than one, and during 2006-2019 it became less than one. In this regard, it is necessary to increase export operations, obtain a positive balance of payments, make effective economic and political decisions to increase exports of Ukrainian goods and services, reduce import dependence, using and implementing innovative methods of production and management.
30
Prakash, P. Arun, and S. Gokul Kumar. "THE EFFECT OF MACROECONOMIC INDICATORS ON FOREIGN DIRECT INVESTMENT OF BRICS COUNTRIES – AN INSIGHT INTO ECONOMETRIC MODELS." ICTACT Journal on Management Studies 03, no. 01 (February 1, 2017): 440–46. http://dx.doi.org/10.21917/ijms.2017.0059.
Full text
31
BARANOVA, Nina M., Sergei N. LARIN, and Dar'ya S. LOGINOVA. "Modeling the influence of intellectual potential on innovative development of PAO Aeroflot – Russian Airlines." Economic Analysis: Theory and Practice 20, no. 10 (October 29, 2021): 1897–913. http://dx.doi.org/10.24891/ea.20.10.1897.
Full textAbstract:
Subject. The article investigates the innovative development of Aeroflot Group and analyzes the impact of factors of intellectual potential. Objectives. The purpose is to investigate the development of intellectual potential of Aeroflot Group by selected indicators, determine their impact on the innovative development of the company, and increase its competitiveness. Methods. We studied the works of Russian and foreign scientists, performed a regression analysis and econometric modeling on the basis of statistical data from the annual reports of Aeroflot Group for 2005–2020. To create econometric models, we applied the tools of the EViews 12 software package. Results. We built econometric models to study and forecast the innovative development of Aeroflot Group, given the influence of intellectual potential factors. The analysis of these models showed that the linear model is adequate and can be used in the practical activities of Aeroflot Group. The exponential model parameters and estimates proved to be insignificant, so it cannot be used for the research. Conclusions. The long-term economic growth of the country and its innovative development depend directly on such factors of intellectual potential as human capital, personnel skills (number and quality of labor force), increase in expertise and labor productivity, availability of social incentives. Therefore, the focus of national projects implementation in Russia is on accelerated innovative development of the country, using the factors of intellectual potential of enterprises and creating conditions for the growth of its quality and social incentives.
32
ZIMMERMANN, GEORG, RALPH NEUNEIER, and RALPH GROTHMANN. "MULTI-AGENT MARKET MODELING OF FOREIGN EXCHANGE RATES." Advances in Complex Systems 04, no. 01 (March 2001): 29–43. http://dx.doi.org/10.1142/s021952590100005x.
Full textAbstract:
A market mechanism is basically driven by a superposition of decisions of many agents optimizing their profit. The macroeconomic price dynamic is a consequence of the cumulated excess demand/supply created on this micro level. The behavior analysis of a small number of agents is well understood through the game theory. In case of a large number of agents one may use the limiting case that an individual agent does not have an influence on the market, which allows the aggregation of agents by statistic methods. In contrast to this restriction, we can omit the assumption of an atomic market structure, if we model the market through a multi-agent approach. The contribution of the mathematical theory of neural networks to the market price formation is mostly seen on the econometric side: neural networks allow the fitting of high dimensional nonlinear dynamic models. Furthermore, in our opinion, there is a close relationship between economics and the modeling ability of neural networks because a neuron can be interpreted as a simple model of decision making. With this in mind, a neural network models the interaction of many decisions and, hence, can be interpreted as the price formation mechanism of a market.
33
Kumar, Pushp, Neha Kumari, and Naresh Chandra Sahu. "Floods and economic growth in India: role of FDI inflows and foreign aid." Management of Environmental Quality: An International Journal 33, no. 5 (March 24, 2022): 1114–31. http://dx.doi.org/10.1108/meq-10-2021-0244.
Full textAbstract:
PurposeThe paper aims to examine the effects of floods on economic growth in India from 1980 to 2019, taking into account the role of foreign direct investment (FDI) inflows and foreign aid.Design/methodology/approachThe study uses augmented Dickey–Fuller (ADF) and Phillip–Perron (PP) tests to determine the stationarity of the variables. Several models, including autoregressive distributed lag (ARDL), fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS) and canonical cointegration regression (CCR), are used to examine the impact of floods on economic growth.FindingsThe bounds test determines the long-term relationship between floods, FDI inflows, economic growth and foreign aid. According to the ARDL and FMOLS models, floods have a negative long-term and short-term impact on India’s economic growth. Furthermore, FDI inflows and foreign aid are beneficial to economic growth. The findings of the ARDL and FMOLS models are confirmed by the DOLS and CCR models. Granger causality establishes a unidirectional causality that extends from floods to economic growth. Further diagnostic tests show that the estimates are free of heteroskedasticity, serial correlation and parameter instability.Practical implicationsIndian government needs to invest more in research and development on flood management techniques. Institutional strengthening is also required to implement pre- and post-flood prevention measures properly. Sound disaster financing strategy and proper water bodies management should be prioritised. Foreign investment opportunities should be encouraged by strengthening international relations.Originality/valueThis is the first time-series study that analysed the effects of floods on economic growth in India. Moreover, the paper contributes to floods literature by applying several econometric models for robustness check.
34
Stamatiou, Pavlos, and Nikolaos Dritsakis. "The Effects of FDI on Greek Economy: An Empirical Analysis." International Journal of Accounting and Finance Studies 2, no. 2 (July 23, 2019): p39. http://dx.doi.org/10.22158/ijafs.v2n2p39.
Full textAbstract:
This paper investigates the effect of Foreign Direct Investment (FDI) on economic growth in Greece, within a framework that also accounts unemployment rate, using annual data covering the period 1970 to 2017. Several econometric models are applied including the ARDL bound test approach for cointegration as well as ECM-ARDL model for causality. The results of the study confirm the existence of a long run relationship among the examined variables. The Granger causality results indicated a strong unidirectional causality between economic development and foreign direct investments with direction from economic development to foreign direct investments. Finally, the variance decomposition method and the impulse response functions are used to test the strength of causality between the variables. The results of the study offer new perspectives and insight for new policies for sustainable economic development, increasing investments and reducing unemployment.
35
Basovskiy, Leonid, and Elena Basovskaya. "The Elasticity of Labor Productivity by Factors of Production in Modern Russia." Scientific Research and Development. Economics 8, no. 4 (August 17, 2020): 22–25. http://dx.doi.org/10.12737/2587-9111-2020-22-25.
Full textAbstract:
The correlation between labor productivity and indicators reflecting the influence of socio-economic and innovative factors in the regions of Russia for 2015-2018 were evaluated. For each year, according to statistics from 82 regions of Russia, econometric models are constructed that allow obtaining elasticity coefficients of labor productivity by capital-labor ratio, foreign investment, average monthly wage, income inequality, producer price index of industrial goods, export share in gross regional product. The prospects of economic policy aimed at increasing labor productivity were estimated.
36
Kaur, Amrita. "Does Taxation Effect FDI in India? An Empirical Study of Hartman Model." Journal of Business Management and Information Systems 4, no. 1 (June 30, 2017): 29–42. http://dx.doi.org/10.48001/jbmis.2017.0401004.
Full textAbstract:
In recent years, a large body of academicians and professionals has focused on the effect of tax policy on both inbound and outbound foreign direct investment. This study examines the possible effects of domestic taxes and rates of return on FDI in India. Using the econometric models given by Hartman (1984) for a sixteen-year sample period, i.e. 1992-2007, tax policies are found to be significantly affecting FDI in India. The model was empirically investigated in sixteen forms with different ratio of FDI to different type of GNPs as dependent variables.
37
Zhou, Shuna, and Chengwen Kang. "Research on the Influencing Factors of Russian Foreign Trade Based on R Language Regression Analysis." Mathematical Problems in Engineering 2021 (December 27, 2021): 1–11. http://dx.doi.org/10.1155/2021/5638831.
Full textAbstract:
Based on the systematic analysis of the development of Russian foreign trade and the characteristics of the regional distribution structure of trade, this work further studies the influencing factors of Russia’s foreign trade by using the R language regression analysis method and constructs three econometric models from import, export, and total import and export. The real effective exchange rate and various instruments and equipment and accessories are the main factors affecting Russia’s import trade, energy, minerals, timber, and related products are the main factors affecting its export trade, and Russia’s GDP and international oil prices are the major factors affecting the total import and export volume. A correct understanding of the factors affecting Russia’s foreign trade will help to understand Russia’s economic and trade development and its changing trend and provide a reliable reference value for the further expansion and optimization of economic and trade cooperation between other economies and Russia.
38
Jamei, Naseem H., Mira Nurmakhanova, Shahbaz Mustafa, Alloysius Egbulonu, and Wagdi Hadidan. "The long run relationship between fish production, marine trade balance and foreign direct investment." Maritime Business Review 5, no. 3 (April 20, 2020): 271–80. http://dx.doi.org/10.1108/mabr-01-2020-0008.
Full textAbstract:
Purpose This paper aims to focus on testing the long-run relationship between fish production and two main variables, the foreign direct investment inflow and the marine trade balance in Oman, which is one of the Arab Gulf countries, during the period 1985-2016. Design/methodology/approach This study uses what known as the two-step Engle–Granger cointegration test to give evidence for the long-run relationship among the variables. Findings The results show that there are a negative long- and short-run relations between fish production and marine trade balance; moreover, any shocks will be corrected within two periods at the most. Originality/value This study is one of few studies in using the econometric models to study the impact of fish production on marine trade balance and foreign direct investment.
39
Pant, Krishna P. "Effects of Labour Migration on Poverty and Agricultural Growth in Nepal." Journal of Agriculture and Environment 14 (December 1, 2013): 87–101. http://dx.doi.org/10.3126/aej.v14i0.19789.
Full textAbstract:
Increasing labour shortage in agriculture sector and contribution of remittance on poverty reduction has raised the importance of studies on employment, poverty and agricultural growth nexus. The study explores the effects of foreign employment on poverty and agricultural growth. The study using time series secondary data for 19 years fitted econometric models at sectoral level to establish the effects of migration on poverty and agricultural production. It also compares agricultural output elasticity of foreign employment and assesses the role of foreign employment on the relationships between growth, poverty and agricultural development. The results show that migration decreases poverty and at the same time decreases agriculture production. But, the decrease in agriculture gross domestic product per unit of labour migrated is smaller than the per capita remittance. The study does not dwell on the social and cultural effects of the labour migration. The results will be useful for decision makers to devise sound policies on migration, poverty and agricultural development.
40
Dulambayeva, R. T., and G. D. Yessenzholova. "Prospects for the Development of Foreign Trade of Kazakhstan with the Countries of the Regional Comprehensive Economic Partnership." Economics: the strategy and practice 17, no. 2 (June 30, 2022): 160–77. http://dx.doi.org/10.51176/1997-9967-2022-2-160-177.
Full textAbstract:
The study is devoted to the study of the prospects for the development of Kazakhstan’s foreign trade with the countries of the Comprehensive Regional Economic Partnership (CREP) by analyzing the indicators of the openness of the economy and the use of econometric forecasting models. The relevance of the work is due to the need to consider the prospects for the development of Kazakhstan’s foreign trade relations with the new trade association CREP for further formation of directions for the development of such relations based on the principles of evidence-based policy, since the results obtained in the study can serve as a basis for making public management decisions in the field of trade and customs policy. Within the framework of the article, the authors applied a strategy of combined research methods with a comparative analysis of the results of using each of them. Thus, econometric methods of Box-Jenkins forecasting, exponential smoothing with the use of tests to check their adequacy and validity were used. Forecast errors are calculated, such as the root-mean-square error, the average absolute error and the average absolute error as a percentage. The study resulted in forecasts of Kazakhstan’s foreign trade turnover with the CREP countries for the short term, which allowed us to conclude about the positive dynamics of the development of these trade relations. A more accurate forecast is presented based on the use of the exponential smoothing method, which demonstrates the smallest error size and is easier to apply.
41
Gaspareniene, Ligita, Tomas Kliestik, Renata Sivickiene, Rita Remeikiene, and Martynas Endrijaitis. "Impact of Foreign Direct Investment on Tax Revenue: The Case of the European Union." Journal of Competitiveness 14, no. 1 (March 31, 2022): 43–60. http://dx.doi.org/10.7441/joc.2022.01.03.
Full textAbstract:
Foreign direct investment (FDI) is an extremely important factor that promotes national competitiveness and economic development through technology transfer, new management skills, foreign trade, corporate productivity, etc. This study aims to analyze the significance of FDI and its impact on tax revenue and competitiveness, focusing on the European Union (EU) economy. An empirical analysis is conducted to determine the relationship between inward and outward FDI and tax revenue by employing data on EU countries between 1999 and 2019. The data were extracted from the United Nations Conference for Trade and Development (UNCTAD) database and the World Development Indicators database (WDI) of the World Bank. To fulfill the objective of this study and to determine the effect of FDI on tax revenue, an econometric model was developed. The research methods include systematic and comparative analysis of scientific literature, panel data analysis, and multiple regression analysis. The regression analysis was based on the least-squares method, and the estimates of the econometric models were calculated by identifying robust heteroscedasticity-consistent standard errors. The study results reveal that the outward FDI has a significant stimulating impact on total tax revenue. In contrast, inward FDI has a dampening effect on tax revenue. The analysis of the lagging effect of FDI on tax revenue in the EU member states revealed a statistically significant lagging impact of the outward FDI made two years before. The estimations indicate that the lagging effect is an incentive. No statistically significant lagging effect of the inward FDI flows on tax revenue was found.
42
G. Georgantopoulos, Andreas, and Ioannis Filos. "Corporate governance mechanisms and bank performance: evidence from the Greek banks during crisis period." Investment Management and Financial Innovations 14, no. 1 (April 28, 2017): 160–72. http://dx.doi.org/10.21511/imfi.14(1-1).2017.02.
Full textAbstract:
This paper is the first research attempt that investigates the impact of a large number of corporate governance mechanisms on the performance of Greek banks,employing widely accepted in the literature of corporate governance econometric models. Results indicate that system GMM models are more suitable methodological tools than pooledOLS and fixed effects models to address well-known econometric problems, such as endogeneity, simultaneity and unobserved heterogeneity of individual banks. The findings, as derived from the application of GMM models, imply that increasing the board size and the number of independent directors can both have positive impact on the performance of Greek banks, but only up to a certain point. Thus, bank efficiency will increase as board size and the proportion of independent directors grow up to a point where these relationships hit a maximum from which bank performance decreases. Our multi-model estimations failed to trace any significant contribution of the number of female and foreign directors on the performance of Greek banks. Finally, the dual appointment of a CEO as Chairman appears to affect negatively two out of four proxies of bank performance. Overall, the results provide support for the positive impact of corporate governance mechanisms on the performance of Greek banks. The significance of these findings increases, considering that the period under study (2008-2014) is marked by high market volatility and uncertainty due to the well-known debt crisis that plagues Greece since the beginning of 2008.
43
Shved, A. V. "The Effectiveness of Foreign Trade: Approaches to Statistical Evaluation." Voprosy statistiki 27, no. 4 (August 25, 2020): 88–96. http://dx.doi.org/10.34023/2313-6383-2020-27-4-88-96.
Full textAbstract:
The purpose of the article is to present the results of the author’s research on best current practices in studying the effectiveness of the country’s foreign trade (on the example of the Republic of Belarus) and wording of proposals for improving approaches to its statistical assessment.The author analyzes the traditional methodology directions to evaluate the effectiveness of activities of the national economic authorities by the state. The article provides some modern approaches to assessing the efficiency of foreign trade at the state level. Current econometric methods for estimating the efficiency of foreign trade which are not quite popular with domestic authors but are extensively used by foreign researchers are examined in detail. Based on actual data, the author conducted the analysis of foreign trade efficiency for the EAEU member countries using gravity models of foreign trade with dummy variables and the stochastic frontier method. The results indicate a positive trend in increasing the efficiency of foreign trade activities of the Republic of Belarus and Russia for the period from 2011 to 2019 with the other EAEU, CIS member states, as well as with Lithuania, Latvia and Poland.In the final section of the article, are formulated the directions for improving national statistics of foreign trade based on international experience in terms of its segment, which reflects the effectiveness of foreign economic activity.
44
Sharma, Om. "Impact of Annual Budgets in Economic Development of Nepal: An Econometric Analysis." Economic Literature 11 (May 9, 2016): 1. http://dx.doi.org/10.3126/el.v11i0.14846.
Full textAbstract:
<p>This paper deals with the impact of the annual budgets on the economic development process of Nepal. The epoch-making macro economic variables are introduced through the application of the econometric models of various kinds, such as linear, log-linear in single equation system, multiple forms and the Granger Causality test (1969) by applying the annual data for the period of 1974/75 to 2006/07 in current as well as constant term. The high average elasticity coefficient of manufactured GDP, GDP, GNP and PCI respectively indicate that development expenditure is highly significant in determining development. A nominal role of internal borrowing and internal revenue in the economy and the excessive dependence on foreign aid has led the country for heavy debt service obligations every years forcing for additional tax burden.</p><p><strong>Economic Literature,</strong> Vol. XI (1-14), June 2013</p>
45
Mowlaei, Mohammad. "The impact of foreign capital inflows on economic growth on selected African countries." African Journal of Economic and Management Studies 9, no. 4 (December 3, 2018): 523–36. http://dx.doi.org/10.1108/ajems-01-2018-0021.
Full textAbstract:
Purpose Nowadays, foreign capital inflow (FCI) is considered as a catalyst for economic development and an important source of transferring technology and foreign exchange earnings from developed to developing countries. The purpose of this paper is to study, first, the impact of different forms of FCIs, namely, foreign direct investment (FDI), personal remittances (PR) and official development assistant (ODA) on economic growth on 26 top African countries; and, second, which of them is more effective on economic growth of the studied countries. The results of this paper are very important for host governments’ policy and help them to design their economic plans to absorb the suitable foreign inflow. Design/methodology/approach The paper uses Pooled Mean Group (PMG) econometric technique to estimate the heterogeneous panels over the period 1992–2016. Findings The results of the study show that all three forms of FCIs have positive and significant effects on economic growth in the long and short run. However, the PR had the most effect on economic growth in the long and short run. The study suggests that the governments should design and implement appropriate fiscal, monetary and trade policies in order to create and improve an enabling environment to attract FCIs as a supplementary source of domestic investment. Research limitations/implications The research limitations of this paper are as follows: data sets of FDI, PR and ODA were available not for all African countries; and, data sets that were available were of before the year 1992. Thus, the research is done for the African countries which had the data sets after the year 1992. Practical implications The result of this paper indicates the impact of each FDI, PR and ODA in economic growth. So, countries can take more attentions to each of them on economic planning. Social implications FCIs are one of the important external source of exchange for each country. So, the study of importance of each of them is necessary for economic planning. Originality/value Most of the previous studies have examined the impact of three different forms of FCIs on economic growth separately, on different countries and regions and using various models and econometric techniques. One of the contributions of this paper is focused on the impacts of FDI, PR and ODA on economic growth separately and simultaneously in 26 top recipient African countries and using the PMG technique which is an advanced econometrical estimation and studied less about it. The other contribution of this research is the comparison of the impact of different FCIs on economic growth, and it is very important for governments’ economic policy.
46
Batrancea, Larissa M., Mehmet Ali Balcı, Ömer Akgüller, and Lucian Gaban. "What Drives Economic Growth across European Countries? A Multimodal Approach." Mathematics 10, no. 19 (October 6, 2022): 3660. http://dx.doi.org/10.3390/math10193660.
Full textAbstract:
This research study examines the factors that determined economic growth measured by gross domestic product, gross value added, final consumption expenditure of households, and gross fixed capital formation across a sample of 36 European countries during the time frame Q3 2018−Q3 2021. We conducted a panel data analysis with the first-difference generalized method of moments (GMM) approach and cross-section fixed effects. Empirical results estimated with four econometric models indicated a significant robust impact of the independent variables exports, imports, foreign direct investment inflow, foreign direct investment outflow, social contributions, and wages on economic growth proxies. In addition, multiplex network analysis was used to investigate the connection architectures of the 36 countries, and it yielded statistical measurements for all layers in the multi-layered structure. Relevant policy implications of reported empirical results are also addressed.
47
Tsaurai, Kunofiwa. "Role of financial sector development in foreign direct investment inflows in BRICS." Investment Management and Financial Innovations 19, no. 3 (September 5, 2022): 215–28. http://dx.doi.org/10.21511/imfi.19(3).2022.18.
Full textAbstract:
This study examined the influence of financial sector development on FDI inflows in BRICS using panel data (1991–2020) analysis methods. The influence of the complementarity between the financial sector and human capital development on FDI inflows was also examined in the context of BRICS using the same data set and econometric methodologies. The advantage of this study is that the results are used as a basis by BRICS countries to develop financial sector development policies that attract significant FDI inflows. Financial sector development (model 2 and 3 of the pooled ordinary least squares approach) significantly enhanced FDI inflows. Human capital development (model 3 of the fully modified ordinary least squares) was found to have had a significant positive effect on FDI inflows in BRICS group of countries. The combination between financial and human capital development under (1) model 1 of the fully modified ordinary least squares and (2) models 2 and 3 of the pooled ordinary least squares (POLS) was observed to have significantly enhanced FDI inflows in BRICS. The study outlines the financial and human capital development recommendations that need to be implemented to facilitate more FDI inflows. Acknowledgment Kunofiwa Tsaurai is grateful for the moral support from his employer, University of South Africa.
48
Napiórkowski, Tomasz M. "International Trade and Foreign Direct Investment as Innovation Factors of the U.S. Economy." International Journal of Management and Economics 41, no. 1 (October 17, 2014): 60–75. http://dx.doi.org/10.2478/ijme-2014-0037.
Full textAbstract:
Abstract The aim of this research is to asses the hypothesis that foreign direct investment (FDI) and international trade have had a positive impact on innovation in one of the most significant economies in the world, the United States (U.S.). To do so, the author used annual data from 1995 to 2010 to build a set of econometric models. In each model, 11 in total) the number of patent applications by U.S. residents is regressed on inward FDI stock, exports and imports of the economy as a collective, and in each of the 10 SITC groups separately. Although the topic of FDI is widely covered in the literature, there are still disagreements when it comes to the impact of foreign direct investment on the host economy [McGrattan, 2011]. To partially address this gap, this research approaches the host economy not only as an aggregate, but also as a sum of its components (i.e., SITC groups), which to the knowledge of this author has not yet been done on the innovation-FDI-trade plane, especially for the U.S. Unfortunately, the study suffers from the lack of available data. For example, the number of patents and other used variables is reported in the aggregate and not for each SITC groups (e.g., trade). As a result, our conclusions regarding exports and imports in a specific SITC category (and the total) impact innovation in the U.S. is reported in the aggregate. General notions found in the literature are first shown and discussed. Second, the dynamics of innovation, trade and inward FDI stock in the U.S. are presented. Third, the main portion of the work, i.e. the econometric study, takes place, leading to several policy applications and conclusions.
49
Ahmed, KHATTAB, and SALMI Yahya. "Modeling Sources of Asymmetry in the Volatility of the Moroccan Dirham Exchange Rate." Applied Economics and Finance 8, no. 4 (July 26, 2021): 31. http://dx.doi.org/10.11114/aef.v8i4.5232.
Full textAbstract:
The main objective of this paper is to study the sources of asymmetry in the volatility of the bilateral exchange rates of the Moroccan dirham (MAD), against the EUR and the USD using the asymmetric econometric models of the ARCH-GARCH family. An empirical analysis was conducted on daily central bank data from March 2003 to March 2021, with a sample size of 4575 observations. Central bank intervention in the foreign exchange (interbank) market was found to affect the asymmetry in the volatility of the bilateral EUR/MAD and USD/MAD exchange rates. Specifically, sales of foreign exchange reserves by the monetary authority cause a fall in the exchange rate, which means that the market response to shocks is asymmetric. Finally, the selection criterion (AIC) allowed us to conclude that the asymmetric model AR(1)-TGARCH(1,1) is adequate for modeling the volatility of the exchange rate of the Moroccan dirham.
50
Lasoń, Aleksandra, and Andrzej Torój. "Anti-liberal, anti-establishment or constituency-driven? Spatial econometric analysis of polish parliamentary election results in 2015." European Spatial Research and Policy 26, no. 2 (December 31, 2019): 199–236. http://dx.doi.org/10.18778/1231-1952.26.2.10.
Full textAbstract:
We investigated the spatial variation patterns of voting results in Polish parliamentary election in 2015 across 380 regions. That election was a milestone event in Polish politics that substantially affected Poland’s internal and foreign policy directions and promoted two emerging political parties as runners-up against the well-established ones. While socio-economic, cultural and geographical factors such as economic activity, historical legacies (post-Russian East vs post-German West) and economic dichotomies (cities vs the countryside) explain most variations for most parties, they do not appeared to fit as determinants of the new parties’ support, especially of right-wing populists. Demographic target groups of individual parties appear to be relatively unresponsive to their pre-election offerings. The spatial specification of econometric models considerably improves their statistical properties. We also examined mixed-W models to account for the unobservable spatial effects stemming from the construction of constituencies. Their distinctive sets of candidates added significantly to the explanation of the spatial variation in voting.