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EN
The paper focuses on the links between cryptocurrencies and corruption. After providing an overview of the literature dealing with the topic, it presents an outline of possible scenarios for how cryptocurrencies can be used in corruption-tainted contracts. The scenarios imply that cryptocurrencies can reduce the costs and risks related to a corruption-tainted contract and make it easier to transfer the corruption-based benefits on an anonymous basis. Their existence also allows corruption-tainted contracts to expand to areas where this did not bring any economic advantages in the past. The paper then explores whether there are any empirical correlations between cryptocurrencies and corruption in different countries. The numbers of Bitcoin automated teller machines (ATM) and cryptocurrency users were used as a proxy for cryptocurrencies and the Corruption Perception Index (CPI) as a proxy for corruption. We did not find any clear relationships. We discovered that the largest number of owners or users of cryptocurrencies is in countries with a high prevalence of corruption, but the level of corruption in them did not exceed the critical limit (around the value of 30 points of the CPI index).
EN
The article describes a complex typology of relations between GDP and its sources: Total factor productivity (TFP) and Total Input Factor (TIF). We analyse how possible changes in TFP and TIF affect GDP development. We give each situation a specific name that clearly explains it. Based on the analysis, the so-called dynamic parameters of intensity and extensity are introduced. The parameters quantify the share of the change in intensive and extensive factors in GDP change. The article further compares our typology with previous ones and discusses the advantages and disadvantages of the chosen parameters.
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