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Investment Activity of Local Administrative Units and the Level of Entrepreneurship Development in the Rzeszów Functional Area

the differences in the level of entrepreneurship in 2012 and 2016, the analysis of quantitative changes in business entities, the dynamics of their number and the synthetic indicators were used. The basis for the calculation of synthetic indicators were the methods of taxonomic analysis, that is, a simple aggregate measure, the Hellwig taxonomic development pattern method ( Pluta, 1986 ) and the positional method using the Weber median ( Młodak, 2006 ). When selecting the variables, both substantive and formal criteria were taken into account. As a result of the

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Leasing Puzzle in Polish Small Firms Listed on the Alternative Market

market and loan market in Poland are under ongoing development. The institutions are racing in terms of services offered to smaller companies. It is worth examining how large was the value of provided services and leased assets over the years and which institutions have developed the most. Fig. 1 presents the dynamics in financing of Polish companies with leasing and loans, according to data accessed from the website of Polish Leasing Association. Between 2010 and 2011 the uptake of investment loans grew substantially – up to 27.5 % – which makes up for more than two

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Migration, Cultural Identity and Diasporas An Identity Economics Approach

between different cultural groups trigger brain reactions as the brain provides lower-level, as well as higher-level reactions on conflicts ( Berns and Atran, 2012 ). Cultural distances can be measured. At least two different comprehensive methods have been developed, by Geert Hofstede (2001) and Shalom Schwartz ( Hofstede, 2001 ; Schwartz, 2006). However, the importance of language differences, religion and ethnicity is also applied to measure cultural diversity (Kashima and Kashima, 1998 ; Fearon, 2003 ; Patsiurko, Campbell and Hall, 2012). Economically, the

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Diaspora Externalities

motive dominates, the pool of emigrants will be more selected, for example, those who emigrate will resemble the population at destination more than the population at home. Consequently, from a purely compositional standpoint, this would predict cultural divergence between home and host populations. In the second part of the model, we acknowledge cultural interactions between immigrants and the host population and well as between emigrants and their home population and consider cultural dynamics, using the Bisin and Verdier (2000) framework, where culture is

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Oil Shocks and the Excise Duty Tax in a DSGE Model Setting

. Journal of Monetary Economics, 12, 383-398. Christiano, L.J., Eichenbaum, M., & Evans, C.E. (2005). Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy. Journal of Political Economy, 113(1), 1-45. Christoffel, K., Coenen, G., & Warne, A. (2008). The New Area-Wide Model of the Euro Area: a Micro-founded Open-economy Model for Forecasting and Policy Analysis. ECB Working Paper no. 944. Dixit, A.K., & Stiglitz, J.E. (1977). A Monopolistic Competition and Optimum Product Diversity. The American Economic

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Local Contributions of Forests to Economic Growth of Peru: A Case of Pinus radiata Plantations

Contributions of Forests. In United Nations Forum on Forests Tenth Session 8-19 April 2013 (p. 132). Istanbul, Turkey. Andersen, L. E., Granger, C. W., Reis, E. J., Weinhold, D., & Wunder, S. (2002). The dynamics of deforestation and economic growth in the Brazilian Amazon. New York, NY, USA: Cambridge University Press. Angelsen, A. (2007). Forest cover change in space and time: combining the von Thünen and forest transition theories (Vol. 4117). World Bank Publications. Angelsen, A., & Kaimowitz, D. (1999). Rethinking the causes of deforestation: lessons

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Understanding the Informal Economy in Practice – Evidence from Bosnia and Herzegovina

R eferences Breusch, T. (2005). Estimating the Underground Economy Using MIMIC Models. Working paper, Canberra, Australia. Retrieved from: . Castells, M., Portes, A. (1989). World Underneath: The Origins, Dynamics and Effects of the Informal Economy. In: A. Portes, M. Castells, L.A. Benton (Eds.), The Informal Economy: Studies in Advanced and Less Developed Countries . Baltimore: John Hopkins University. Chen, M. (2006). Rethinking the Informal Economy: Linkages with the Formal Economy

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What Drives Price Dispersion in the European E-commerce Industry?

technique used to analyse the price dynamics, for example, by Cavallo (2015) . The novelty of our approach lies in using data from price comparison services instead of working with great number of individual sites which often use incompatible web technologies. In this way, we are able to collect tons of individual price signals from virtually all shops selling a particular item in each country. With such a large and diversified data, we can measure price dispersion in a robust way and make frequent updates at relatively low cost. With respect to the pattern of observed

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Migration and Welfare Systems – State of the Art and Research Challenges

-sloping supply curve of potential immigrants. This analysis, however, fails to account for the impact that accepting large numbers of immigrants today has on policy in the future. Frameworks presented above suggest a significant impact of immigration on the support for the welfare state. Empirical results show that it is true in the case of the United States, where increasing ethnic diversity was found responsible for undermining social trust and solidarity ( Putnam 2000 ). However, such result stems from the racial tensions and prejudices, especially in the states with high

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Relationship between the Financial Indicators and the Implementation of Telework

International Journal of Life Cycle Assessment , 13, 155. . Kislingerová, E. (2010). Manažerské finance . Praha: C. H. Beck. Krstić, B., Bonić, L. (2016). A new tool for intellectual capital performance measurement. Prague Economic Papers , 2016, 25(6). Kurland, N. B., Bailey, D. E. (1999). The advantages and challenges of working here, there anywhere, and anytime. Organizational Dynamics , 28, 2, 53–68. . Mannering, J. S., Mokhtarian, P. L. (1995). Modeling the

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