Evaluation and investigation: the determinants of central banking efficiency
Autor: | Ahn Young-Hyo, Gulbadin Farooq Dar, Qaiser Farooq Dar |
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Rok vydání: | 2021 |
Předmět: |
05 social sciences
Management Science and Operations Research Structural equation modeling Banking industry Computer Science Applications Theoretical Computer Science Stochastic frontier analysis Central bank 0502 economics and business Value (economics) Economics Range (statistics) Econometrics Production (economics) 050207 economics 050212 sport leisure & tourism Parametric statistics |
Zdroj: | RAIRO - Operations Research. 55:481-493 |
ISSN: | 1290-3868 0399-0559 |
DOI: | 10.1051/ro/2021017 |
Popis: | The stochastic frontier analysis is a comprehensive and accepted approach for analysing efficiency in case of the parametric functional relationship existing between production processes’ inputs with its output. Usually, in the banking industry, the relationship between the user inputs and outputs are non-deterministic. In the present study, an SFA approach is used to estimate the efficiency of top 17 Asian central banks in combining three inputs and one output. Structural equation modelling is applied to examine the impact of the country’s international trade and economic growth on its central bank efficiency. Based on the results, we have observed significant efficiency ranks between the year 2016– 2018. The technical efficiency value estimates by SFA method range from 0.236822 to 0.821864. Our calculations also suggest a positive impact of international trade on central bank efficiency compared to the economic growth of that country. |
Databáze: | OpenAIRE |
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