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Aspects of Innovation and Technology Transfer in Romania

References Agenția de Dezvoltare Regională ADR Centru, 2016, Examinarea cererii de servicii de cercetare, dezvoltare, inovare si transfer tehnologic in randul IMM din Regiunea Centru, disponibil pe http://regio-adrcentru.ro/wp-content/uploads/2015/02/Analiza-nevoii-de-inovare-in-cadrul-IMM-urilor.pdf , accessed Nov.17, 2018. Asandului, L., Baciu, L., 2010, A Comparative Analysis of Research- Development and Innovation Activities in Romania, disponibil pe https://www.researchgate.net/publication/47739199_A_COMPARATIVE_ANALYSIS_OF_RESEARCH_-_DEVELOPMENT_AND_INNOVATION_ACTIVITIES_IN_ROMANIA

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Rural Youth, Agriculture, And Entrepreneurship: A Case-Study of Hungarian and Romanian Young Villagers

Studies 18: 233–244. Crihan, E. (2011). Mentalităţi rurale în România de tranziţie. Un studiu de caz în judeţul sălaj . University of Oradea Publishing House. Croitoru, A. (2013). Digging among the roots of entrepreneurship. Journal of Community Positive Practices XIII(1): 129–147. Csaba, L. (2011). The challenge of growth. Hungarian Review , May. Budapest. Doltu, C. (2011). Mediul Rural între Supravieţuire şi Oportunităţi de afaceri . Bucharest: Expert Publishing House. Drucker, P. (1993). Inovaţia şi sistemul antreprenorial

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Aspects of the Evolution of the Romanian Tourists’ Preferences Concerning the Domestic Tourist Destinations

References Andrei, D. R., Gogonea, R-M., Zaharia, M., Andrei, J-V., (2014), Is Romanian Rural Tourism Sustainable? Revealing Particularities , Sustainability, 6, issue 12, p. 1-13. Bernal García, J. J., Martínez M-D., Soledad M., Sánchez García, J. F., (2006), Study of the potentiality of the electronic commerce in the Region of Murcia by means of a model of logistic regression . Estudios de Economía Aplicada, 24, issue, p. 499-529. Brindescu-Olariu, D.,, Golet,I. (2013), Prediction of Corporate Bankruptcy in Romania Through the use of

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Sectoral Interdependencies and Key Sectors in the Romanian, Hungarian and Slovak Economy – An Approach Based on Input-Output Analysis

Abstract

The aim of this paper is to analyse sectoral interdependencies and to identify the key sectors in the Romanian, Hungarian and Slovak economy, drawing a comparison between these three countries. In order to do these investigations, input-output analysis is applied, as it is based on a model which presents interactions between sectors of the economy. This method can also be used for determining the role of each sector in the national economy regarding its contribution to the total output, incomes, exportimport and so on, and for quantifying direct and indirect impact on the whole economy caused by any change produced in a sector’s activity. As the results of the analyses show, several similarities and differences appear in the economic structure, the sectoral interdependencies and the key sectors of the analysed countries. For example, in Romania, intersectoral transactions are axing mainly on the Trade and Manufacturing sectors, while in Hungary and Slovakia on the Manufacturing and Other professional, scientific and technical services sectors. Key sectors - identified by applying output and income backward linkages - also differ as in Romania the output backward linkage is the largest in the case of the Trade sector, in Hungary, in the Food sector and in Slovakia in the Electricity, gas, water and waste management sector. In the case of the income linkages, Social, collective and personal services rank in the first place in all three countries

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Increasing Awareness about Contagious Diseases through Information Campaigns in Romania

Bibliography APC (2016), “Argumente juridice şi morale împotriva vaccinării obligatorii exprimate şi susţinute de către reprezentanţii societăţii civile independente”, APC Romania, 13 aprilie, http://www.apc-romania.ro/ro/i-argumente-juridice-si-morale-impotriva-vaccinarii-obligatorii-exprimate-si-sustinute-de-catre-reprezentantii-societatii-civile-independente/MzYwLTA.html , 4.3.2018. INSP (2017), “Analiza evoluției bolilor transmisibile aflate în supraveghere”, Annual report 2016, Institutul Național de Sănătate Publică, Centrul Național de

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Is the Labour Force Participation Rate Non-Stationary in Romania?

Panel Tests with Breaks. Review of Development Economics.123, pp. 620-635. CANER, M., HANSEN,B.E. (2001). Threshold Autoregression with a Unit Root. Econometrica. 69, pp. 1555-1596. DICKEY, D., FULLER, W.A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association.744, pp. 27-431. DINU, M., SOCOL, C., MARINS, M-C., SOCOL, A-G. (2011). Testing of the Okun's Law in Romania, Economic Computation & Economic Cybernetics Studies & Research. 45, pp. 1-15. DUVAL,R., ERIS, M., FURCERI, D

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A Comparative Analysis of Fiscal Policy Changes in Selected European Union Countries outside the Eurozone

Abstract

The aim of this article is to investigate the fiscal policy changes in six Central and Eastern European countries outside the Eurozone: Bulgaria, the Czech Republic, Croatia, Hungary, Poland and Romania. The analysis covers the period from 2004 to 2017. The study uses changes in the cyclically-adjusted primary balance as a main indicator to assess the fiscal policy stance. The results indicate that, in general, over the period from 2004 to 2017, the fiscal stance in these countries was somewhat contractionary.

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The Performance of Unemployment Rate Predictions in Romania. Strategies to Improve the Forecasts Accuracy

). Comparing Predictive Accuracy. Journal of Business and Economic Statistics, 13, pp. 253-265 DOBRESCU, E. (2003). Possible Evolutions of the Romanian Economy (Macromodel Estimations), Romanian Journal of Economic Forecasting, Supplement 2003, pp. 32-64 DOVERN, J., WEISSER J. (2011). Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7, International Journal of Forecasting, 27 (2), pp. 452-465. FRANSES, P. H., MCALEER, M., LEGERSTEE, R. (2012). Evaluating

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Use of TOPSIS Method for Assessing of Good Governance in European Union Countries

Abstract

Good Governance presents the contemporary trend of managing public affairs worldwide. This concept is promoting the basic elements of subsidiarity, participation, and democracy in modern public administration. Presented article is focused on the evaluation of Good Governance development in the European Union countries in the long-term, in the period 2007–2017. The evaluation is based on the application of multiple criteria decision-making methods, concrete The Technique for Order Preference by Similarity to Ideal Solution. The original data used in the research were the values of Worldwide Governance Indicators monitored and processed by the World Bank. The article presents a complete assessment of European Union countries according to the level of Good Governance. There are identified countries that have been successful in this area in the long-term, in particular the Nordic countries - Finland, Sweden and Denmark. On the contrary, there are countries that show greater shortcomings in terms of Good Governance as Romania, Bulgaria or Greece. The European Union countries were also grouped into clusters and the overview of rankings of individual countries for the period 2007–2017 was completed.

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Acta Universitatis Sapientiae, Economics and Business
The Journal of Sapientia Hungarian University of Transylvania
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