This paper examines country-specific factors that affect the three most influential world university rankings (the Academic Ranking of World Universities, the QS World University Ranking, and the Times Higher Education World University Ranking). We run a cross sectional regression that covers 42–71 countries (depending on the ranking and data availability). We show that the position of universities from a country in the ranking is determined by the following country-specific variables: economic potential of the country, research and development expenditure, long-term political stability (freedom from war, occupation, coups and major changes in the political system), and institutional variables, including government effectiveness.
Research background: A literature review on innovativeness and institutions pointing to their correlation and the possibility of their joint examination. Purpose of the article: This paper attempts to devise a measurement method for a creative economy, where as a result of feedback between institutions, human capital and technology conditions facilitating the development of creativity are created. Methods: An empirical meta-analysis of indicators characterising innovativeness and institutional environment was carried out, following the hypothesis that at least in part they contain common information on creative economy. Findings and Value added: The new synthetic index, a creative economy index (CEI), was constructed. The study was conducted for a group of 34 economies of the European Union and its associated states for the period of 2005–2014.
As a consequence of globalisation, economic growth and productivity have become more sensitive to developments beyond national frontiers. This paper explores trade (import and export) and foreign direct investment (FDI) as channels of international total factor productivity (TFP) spillovers. FDI and trade are potentially important sources of productivity growth; however, empirical literature is inconclusive as to the nature and extent of spillovers and does not simultaneously cover all three channels. Our main goal is to examine the transmission of TFP spillover effects jointly through trade and FDI channels in 41 countries (members of the EU and OECD) during the period 1995-2014. We use dynamic panel estimation strategies. The main findings are: 1) Each of the spillover channels of TFP is significant for TFP when studied separately; 2) Joint examination of all channels allows for concluding that the export channel is the dominant one.
We have recently seen two conflicting trends in the use of cash. The share of e-payments in retail transactions is steadily increasing, but the same upward trend is true for the share of cash in circulation or at least the cash share remained unchanged. This paper shows the significance of perceived risk for consumers’ precautionary demand for cash after they make a decision to use e-payments. We use data from a study involving Polish consumers. The main conclusions are as follows: surveyed consumers perceive a level of risk associated with card and mobile payments and continue to carry cash for precautionary reasons. Factors such as the consumer’s mental state, lack of trust in e-payments, and attitude to risk influence the decision to maintain cash reserves, while the consumer’s income and age may be considered the main determinants of the value of the cash reserve. Consequently, the decision to use e-payments does not necessarily mean that the demand for cash drops to zero. A degree of difficult-to-reduce, autonomous demand for cash may exist independent of the traditionally studied determinants, in particular, those related to the transaction demand.
Research background: In existing studies two main channels of international technology spillovers are extensively discussed — trade and FDI. Nevertheless empirical studies give mixed results regards the nature and extent of trade and FDI spillovers. Purpose of the article: The aim of the article is to study import and foreign direct investments (FDI) as channels of international TFP spillovers. Methods: We employ dynamic spatial autoregression (SAR) methods. Our panel comprises data for 41 developed and upper mid-developed countries over the period 1995–2014. Findings & Value added: Our preliminary results show that (1) the trade and investment channels are both important for technology transfer, (2) the degree of their significance depends on the absorptive capacity such as good quality of the institutions.
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