Impact of regulatory trade barriers and controls of the movement of capital and people on international trade of selected Central, Eastern and Southeastern European economies

Jakšić, Saša; Erjavec, Nataša; Cota, Boris

doi:10.1007/s10100-021-00743-8

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…The method also has a high potential to precisely identify the sub-indicators that most impact the Cost of Doing Business Index, helping governments prioritize reforms [54]. Similarly, the SAW-Max-Entropy method can contribute to improving the quantification and monitoring of countries' ease of doing business [33], identifying areas for opening new companies with greater precision [64], offering more realistic comparisons of countries' ease of doing business [65], and enhancing understanding of the relationship between the ease of doing business and regulatory barriers and controls on the movement of capital in countries [66], among others (e.g., [67]). The results of this research also contribute significantly to the literature on composite indicators.…”

Section: Analysis and Discussion Of Resultsmentioning

confidence: 99%

The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators

Libório,

Karagiannis,

Diniz

et al. 2024

Entropy

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This research offers a solution to a highly recognized and controversial problem within the composite indicator literature: sub-indicators weighting. The research proposes a novel hybrid weighting method that maximizes the discriminating power of the composite indicator with objectively defined weights. It considers the experts’ uncertainty concerning the conceptual importance of sub-indicators in the multidimensional phenomenon, setting maximum and minimum weights (constraints) in the optimization function. The hybrid weighting scheme, known as the SAW-Max-Entropy method, avoids attributing weights that are incompatible with the multidimensional phenomenon’s theoretical framework. At the same time, it reduces the influence of assessment errors and judgment biases on composite indicator scores. The research results show that the SAW-Max-Entropy weighting scheme achieves greater discriminating power than weighting schemes based on the Entropy Index, Expert Opinion, and Equal Weights. The SAW-Max-Entropy method has high application potential due to the increasing use of composite indicators across diverse areas of knowledge. Additionally, the method represents a robust response to the challenge of constructing composite indicators with superior discriminating power.

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Section: Analysis and Discussion Of Resultsmentioning

confidence: 99%

The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators

Libório,

Karagiannis,

Diniz

et al. 2024

Entropy

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“…The development status and existing problems of the curriculum system of international economics and trade are mainly reflected in the teaching objectives and training methods [6][7]. At present, the traditional teaching mode adopted in the classroom is still dominated by teaching materials and supplemented by teachers' explanation.…”

Section: International Economics and Trade Majormentioning

confidence: 99%

New Exploration of the Curriculum System of International Economics and Trade under the Background of New Liberal Arts

2023

IJNDE

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The major of international Economics and trade is a very comprehensive discipline. This paper aims to explore the new direction and new ideas of the curriculum system of international economics and trade under the background of new liberal arts. Through the analysis and evaluation of the existing curriculum system, combined with the trends and needs of the international economic and trade field development, a series of suggestions and measures for curriculum reform are put forward. This paper uses questionnaire survey and interview to collect and organize a large amount of data and information. Survey data showed that 22 percent of students were dissatisfied with the practicality of their courses.

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“…e function f(m, n, k) represents the amount of international trade goods exchange rate transactions and the number of international trade goods exchange rate transactions [33]. When the amount of international trade goods exchange rate transactions is greater and the number of international trade goods…”

Section: Calculation Of Exchange Rate Transaction Risk Of Goods In International Tradementioning

confidence: 99%

Exchange Rate Transaction of International Trade Goods Based on Fuzzy Granulation and Deep Learning

Jin¹,

Han

2021

Scientific Programming

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The change of international trade goods exchange rate transaction has an impact on economic operations and economic stability. Therefore, an international trade goods exchange rate transaction based on fuzzy granulation and in-depth learning is proposed. Based on fuzzy information granulation and BP neural network, this paper analyzes the interest rate evaluation theory. For the future expectation of currency exchange rate, portfolio equilibrium determines the proportional relationship of each component in the portfolio and analyzes the impact of asset price and exchange rate change according to this relationship. Then, it points out the risk evaluation index system, calculates the risk degree of exchange rate transaction of international trade goods, and then evaluates the risk of exchange rate transaction of international trade goods. It completes the research on exchange rate transactions of international trade goods based on fuzzy granulation and in-depth learning. The experimental results show that excessive exchange rate fluctuation will bring the same proportion fluctuation to the asset price in the financial market, and the coordination between exchange rates and the coordination of exchange rate and asset price can promote the steady growth of national economy.

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Impact of regulatory trade barriers and controls of the movement of capital and people on international trade of selected Central, Eastern and Southeastern European economies

Cited by 7 publications

References 15 publications

The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators

The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators

New Exploration of the Curriculum System of International Economics and Trade under the Background of New Liberal Arts

Exchange Rate Transaction of International Trade Goods Based on Fuzzy Granulation and Deep Learning

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