scholarly journals Banking Development and Economy in Greece: Evidence from Regional Data

2020 ◽  
Vol 13 (10) ◽  
pp. 243
Author(s):  
Christos Floros
Keyword(s):  
Regression Models ◽  
Local Economy ◽  
Data Envelopment ◽  
Banking Efficiency ◽  
Banking Services ◽  
Atm Network ◽  
Using Data ◽  
The Impact ◽  
Banking Development ◽  
Number Of Branches

This article examines the development of Greek systemic banks for the period 2003–2018, using data such as the ATM network and branches at a regional level. We test the impact of the ATM network and branches on the deposits of Greek commercial banks as well as the impact of local GDP on the regional banking efficiency. The analysis is carried out in two steps, (1) we use the Data Envelopment Analysis (DEA) for efficiency analysis, and (2) we use panel regression models for regression analysis. The results show that branches that operate at small regions are less efficient than those of the larger regions. Furthermore, both the ATMs and the number of branches have a positive relationship with deposits. This means that banks must continue to operate branches and ATMs in Greece. Finally, we show that local GDP helps significantly in increasing regional banking efficiency. The above findings are important given the need to support the local economy with modern banking services in Greece.

scholarly journals Wpływ wielkości banku na jego efektywność: badania dla krajów Europy Środkowo-Wschodniej

2015 ◽  
Vol 2 (3) ◽  
pp. 81-96
Author(s):  
Katarzyna Mikołajczyk
Keyword(s):  
Positive Relationship ◽  
Soft Information ◽  
Financial Resources ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Technological Changes ◽  
East European ◽  
Using Data ◽  
The Cost ◽  
The Impact

Although there is a growing body of literature on the impact of bank size on itsstrategy, efficiency, profitability and stability, the results are still inconclusive. Themain advantages of large banks are their capability for product and geographicaldiversification, ability to bear the cost of technological changes and easier accessto financial resources. On the other hand, small banks have a good understandingof local markets, use soft information on their clients more effectively, are basedon relationship banking model, and have much simpler organizational structure.The aim of this paper is to analyze the impact of bank size on its efficiency in Centraland East European countries. For that purpose, all commercial banks fromCEE countries were divided into four groups, depending on their size (expressedin absolute and relative terms). Technical and scale efficiency scores for the period2004–2013 were calculated using Data Envelopment Analysis. The main conclusionis that in CEE countries bank size affects the efficiency, particularly if thesize is expressed in absolute terms. There is a positive relationship between banksize and its technical efficiency (especially above a certain limit). The relationshipbetween bank size and scale efficiency is nonlinear: the smallest and the largestbanks have higher scale inefficiency.

scholarly journals EFFICIENT COMPARISON OF THE TOP 10 LARGEST COMMERCIAL BANKS IN INDONESIA: DEA (DATA ENVELOPMENT ANALYSIS)

2021 ◽  
Vol 11 (3) ◽  
pp. 427
Author(s):  
Ari Christianti
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Banks ◽  
Banking Industry ◽  
Maximum Efficiency ◽  
Data Envelopment ◽  
Labor Costs ◽  
Banking Efficiency ◽  
Parametric Data ◽  
Fixed Assets ◽  
Using Data

Banking efficiency is very important in supporting the success of macro policies specifically, maintaining the sustainability of development that affects economic growth and social welfare. This study discusses the efficiency of commercial banks for the 2015-2019 period using data from the 10 largest commercial banks in Indonesia. The methodology used is non-parametric, Data Envelopment Analysis, to analyze technical efficiency. The results showed that 7 banks had a maximum efficiency level consistently during the study period and there were still 3 banks that did not reach the maximum efficiency but during certain periods or periods. Based on the results of the DEA, inefficient banks in a certain period can achieve maximum efficiency by reducing inputs such as labor costs, net fixed assets, and the number of deposits. This might be attributed that the competition in the banking industry and because not all inputs could be controlled by management, some large banks cannot maintain their level of efficiency consistently.

Does the Financial Self-sufficiency of Municipalities Affect Efficiency of the Museums which they Founded? (A Case Study from the Czech Republic)

2017 ◽  
Vol 15 (3) ◽  
pp. 479-494 ◽  
Author(s):  
Michal Plaček ◽  
František Ochrana ◽  
Milan Půček ◽  
Milan Křápek ◽  
David Špaček
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Fiscal Decentralization ◽  
Financial Data ◽  
Data Envelopment ◽  
The Czech Republic ◽  
Self Sufficiency ◽  
Using Data ◽  
The Impact

This paper analyzes and discusses the impact of fiscal decentralization on the efficiency of museums run by municipalities. It tests the hypothesis that municipalities with higher levels of income self-sufficiency can more efficiently manage museums than municipalities with lower levels of financial self-sufficiency. For our analysis, we used financial data for the years 2015 to analyze the efficiency of museums using data envelopment analysis (DEA). To test the hypothesis about the impact of financial self-sufficiency, we use regression analysis. The results obtained did not confirmed the hypothesis.

scholarly journals An Examination of COVID-19 Mitigation Efficiency among 23 Countries

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 755
Author(s):  
Emily Chia-Yu Su ◽  
Cheng-Hsing Hsiao ◽  
Yi-Tui Chen ◽  
Shih-Heng Yu
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Pearson Correlation ◽  
Data Envelopment ◽  
Travel Restrictions ◽  
The Usa ◽  
Correlation Tests ◽  
Using Data ◽  
The Impact

The purpose of this paper was to compare the relative efficiency of COVID-19 transmission mitigation among 23 selected countries, including 19 countries in the G20, two heavily infected countries (Iran and Spain), and two highly populous countries (Pakistan and Nigeria). The mitigation efficiency for each country was evaluated at each stage by using data envelopment analysis (DEA) tools and changes in mitigation efficiency were analyzed across stages. Pearson correlation tests were conducted between each change to examine the impact of efficiency ranks in the previous stage on subsequent stages. An indicator was developed to judge epidemic stability and was applied to practical cases involving lifting travel restrictions and restarting the economy in some countries. The results showed that Korea and Australia performed with the highest efficiency in preventing the diffusion of COVID-19 for the whole period covering 105 days since the first confirmed case, while the USA ranked at the bottom. China, Japan, Korea, and Australia were judged to have recovered from the attack of COVID-19 due to higher epidemic stability.

scholarly journals A COMPARATIVE STUDY OF BANKING EFFICIENCY IN ASEAN-5: THE DATA ENVELOPMENT ANALYSIS (DEA) APPROACH

2018 ◽  
Vol 33 (2) ◽  
pp. 168
Author(s):  
Setyo Tri Wahyudi ◽  
Azizah Azizah
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Efficiency Score ◽  
The Philippines ◽  
Data Envelopment ◽  
Banking Efficiency ◽  
Output Efficiency ◽  
Input Variables ◽  
Using Data ◽  
Second Period

As an intermediary institution, a bank is required to operate efficiently due to the increased competition among banks, both domestic and international. However, not all banks are able to optimize their owned resources to reach a certain efficiency level. Thus, efficiency plays an important role in this era of more globalized banking competiti on. The objective of this study is to calculate the banking efficiency score for the ASEAN-5 countries, consisting of Indonesia, Malaysia, the Philippines, Singapore, and Thailand. Using Data Envelopment Analysis (DEA), the input variables comprised of employees’ benefits, fixed assets, and deposits; while the output variables were total income and loans. The results show the relatively high efficiency levels of every bank in each country. The achievement of an input-output efficiency variable in the first period (2006-2009) tended to increase, but the second period (2010-2013) showed a declining trend. The performance of the banks in Singapore during the first period was very good, while in the second period, the banks in the Philippines showed a respectable performance.

Releases From a Local Jail: The Impact of Visitation on Recidivism

2020 ◽  
pp. 088740342091948 ◽  
Author(s):  
William M. Casey ◽  
Jennifer E. Copp ◽  
William D. Bales
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Large Body ◽  
Current Investigation ◽  
Research Attention ◽  
Logistic Regression Models ◽  
Local Jail ◽  
Number Of Visits ◽  
Using Data ◽  
The Impact

There is a large body of research that examines the impact of visitation on the likelihood of recidivism among released state prisoners. That research reveals that receiving any visits, and a greater number of visits, reduces the likelihood of recidivism. However, whether the recidivism-reducing effect of visitation operates within the jail setting remains unclear. Using data from a Florida jail, the current investigation examines the association between visitation and recidivism among a cohort of releases ( N = 6,565). Analyses also consider the extent to which the frequency of visits impacts the likelihood of recidivism. Findings from a series of logistic regression models reveal that inmates who received visits were no less likely to recidivate than their counterparts. Yet, among inmates who were visited, those receiving more frequent visits were less likely to recidivate. This departs from existing visitation research and underscores the importance of directing research attention to local jails.

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