scholarly journals External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries

2022 ◽  
Vol 14 (2) ◽  
pp. 978
Author(s):  
Nada Milenković ◽  
Boris Radovanov ◽  
Branimir Kalaš ◽  
Aleksandra Marcikić Horvat
Keyword(s):  
Regression Analysis ◽  
Interest Rates ◽  
Negative Influence ◽  
Western Balkans ◽  
Tobit Regression ◽  
Labor Costs ◽  
Dea Model ◽  
Size Type ◽  
Input Variables ◽  
Tobit Regression Analysis

Since the beginning of the application of the Data Envelopment Analysis (DEA) model in various areas of the economy, it has found its wide application in the field of finance, more specifically banks, in the last few years. The focus of this research was to determine the sustainability of the intermediate function of banks, especially in recent years when interest rates on deposits have been at a minimum level. The research was divided into two parts, wherein the first part determined the efficiency of the intermediate function of banks in the countries of the Western Balkans in the period from 2015 to 2019. The second part approached the regression analysis in which we determined the influence of the bank size, type of bank, and mergers and acquisitions (M&A) activity on the defined efficiency. In the first stage we applied the output-oriented DEA model using deposits, labor costs, and capital as input variables; on the other side, we used loans and investments as output variables. We used data from the revised financial statements of the banks operating in Serbia, Bosnia and Herzegovina, Montenegro, North Macedonia, and Albania. The results of our study showed that there is a difference in efficiency levels between countries and within countries in the considered time period. Furthermore, Tobit regression analysis showed a significant and negative influence of the bank type and M&A on relative technical efficiency of banks, and a positive and significant relationship between bank size and relative efficiency. These findings suggest that large commercial banks can sustain on the West Balkan market. It is to be expected that less efficient small banks will be taken over by large and more efficient banks.

An integrated approach for identifying the efficiency-oriented drivers of electronic markets in electronic business

2019 ◽  
Vol 32 (1) ◽  
pp. 60-74 ◽  
Author(s):  
Sophia Xiaoxia Duan ◽  
Hepu Deng ◽  
Feng Luo
Keyword(s):  
Regression Analysis ◽  
Integrated Approach ◽  
Electronic Business ◽  
Tobit Regression ◽  
Content Type ◽  
Novel Approach ◽  
Dea Analysis ◽  
Evaluation Problem ◽  
Overall Efficiency ◽  
Tobit Regression Analysis

Purpose Effectively evaluating the efficiency of individual e-markets for better understanding the efficiency-oriented critical drivers for individual e-markets is of great significance to the development of electronic business. The purpose of this paper is to develop an approach through adequately integrating data envelopment analysis (DEA) and bootstrapped Tobit regression analysis for identifying the efficiency-oriented critical drivers on the development of e-market in electronic business. Design/methodology/approach A review of the related literature is conducted for adequately formulating the e-market evaluation problem. DEA is appropriately used for assessing the efficiency of available e-markets, leading to the identification of the efficient e-market. Tobit regression analysis is then employed to examine the outcome of the DEA analysis for identifying the efficiency-oriented critical drivers in the development of e-markets in electronic business. Findings A better understanding of the operations of individual e-markets with respect to their overall efficiency in electronic business can be achieved with the use of the developed approach. Such understanding is built on the identification of the efficiency-oriented critical drivers on the development of e-market in electronic business. Originality/value This paper develops a novel approach for better understanding of the operations of individual e-markets with respect to their overall efficiency in electronic business. The adoption of this approach helps existing e-markets improve their efficiency by focussing on the efficiency-oriented critical drivers and provide new players in e-markets with guidelines for developing their efficient e-markets.

Non–Small-Cell Lung Cancer: Real-World Cost Consequence Analysis

2021 ◽  
pp. OP.20.00863
Author(s):  
Alessandra Buja ◽  
Giulia Pasello ◽  
Giuseppe De Luca ◽  
Alberto Bortolami ◽  
Manuel Zorzi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Regression Analysis ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Real World ◽  
Average Cost ◽  
Small Cell ◽  
Tobit Regression ◽  
Small Cell Lung ◽  
Tobit Regression Analysis

PURPOSE: The present work aimed at conducting a real-world data analysis on the management costs and survival analysis comparing data from non–small-cell lung cancer (NSCLC) cases diagnosed in the Veneto region before (2015) and after (2017) the implementation of a regional diagnostic and therapeutic pathway including all new diagnostic and therapeutic strategies. METHOD: This study considered 254 incidental cases of NSCLC in 2015 and 228 in 2017 within the territory of the Padua province (Italy), as recorded by the Veneto Cancer Registry. Tobit regression analysis was performed to verify if total and each item costs (2 years after NSCLC diagnosis) are associated with index year, adjusting by year of diagnosis, sex, age, and stage at diagnosis. Logistic regression models were run to study overall mortality at 2 years, adjusting by the same covariates. RESULTS: The 2017 cohort had a lower mortality odd (odds ratio, 0.93; P = .02) and a significant increase in the average overall costs ( P = .009) than the 2015 cohort. The Tobit regression analysis by cost item showed a very significant increase in the average cost of drugs (coefficient = 5,953, P = .008) for the 2017 cohort, as well as a decrease in the average cost of hospice care (coefficient = –1,822.6, P = .022). CONCLUSION: Our study showed a survival improvement for patients with NSCLC as well as an economic burden growth. Physicians should therefore be encouraged to follow new clinical care pathways, while the steadily rising related costs underscore the need for policymakers and health professionals to pursue.

scholarly journals PENGHITUNGAN TINGKAT JANGKAUAN KOPERASI SYARIAH TERHADAP MASYARAKAT MISKIN DI JAWA TIMUR

2020 ◽  
Vol 7 (5) ◽  
pp. 836
Author(s):  
Tita Novita Sari ◽  
Raditya Sukmana
Keyword(s):  
Regression Analysis ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Poor People ◽  
Tobit Regression ◽  
Purposive Sampling ◽  
Analysis Techniques ◽  
Tobit Regression Analysis

This study aims to analyze the outreach of sharia cooperatives in East Java. This study uses a quantitative approach using Tobit regression analysis techniques. Sampling using a purposive sampling technique and obtained 8 Islamic cooperatives that fit the criteria. The results of this study indicate that sharia cooperatives are in reaching poor people in East Java. Sharia cooperatives that have the highest coverage scores are BMT Mandiri Artha Syariah and BMT Al-Izzah Amanah Umat.Keywords: Sharia Cooperatives, outreach, BMT

scholarly journals Socioeconomic Impact of Automation on Horticulture Production Firms in the Northern Gulf of Mexico Region

2008 ◽  
Vol 18 (4) ◽  
pp. 697-704 ◽  
Author(s):  
Benedict C. Posadas ◽  
Patricia R. Knight ◽  
Randal Y. Coker ◽  
Christine H. Coker ◽  
Scott A. Langlois ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Gulf Of Mexico ◽  
Empirical Models ◽  
Retention Rates ◽  
Socioeconomic Impact ◽  
Tobit Regression ◽  
Skilled Workers ◽  
Employment Impact ◽  
Levels Of Automation ◽  
Tobit Regression Analysis

Using results of a socioeconomic survey of nurseries and greenhouses, Tobit regression analysis was used to estimate empirical models to measure the socioeconomic impact of automation or mechanization on annual gross sales, annual employment, and workers' earnings, safety, and retention. The survey was conducted among 87 randomly selected nurseries and greenhouses located in Mississippi, Louisiana, and Alabama, from Dec. 2003 to Mar. 2005. About 20% of all the identified major tasks were performed by workers in nurseries and greenhouses with some form of mechanization or automation. Regression results showed that nurseries and greenhouses that experienced higher levels of sales also demonstrated higher levels of automation or mechanization. The employment impact of automation or mechanization was neutral, indicating that any improvement in automation or mechanization did not necessarily lead to a reduction, but instead to a more efficient use of labor by nurseries and greenhouses. Improvements in automation or mechanization resulted in higher total workers' earnings reported by participating nurseries and greenhouses. Further Tobit regression results showed that automation or mechanization had neutral effects on the length of training period, workers' safety, and retention rates and enabled nurseries and greenhouses to hire less-skilled workers.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PENANAMAN MODAL ASING (PMA) LANGSUNG DI PURBALINGGA

2018 ◽  
Vol 16 (2) ◽  
pp. 103-123
Author(s):  
Soffi Setyoningrum
Keyword(s):  
Foreign Direct Investment ◽  
Regression Analysis ◽  
Interest Rates ◽  
Direct Investment ◽  
Analysis Tool ◽  
Labor Costs ◽  
Factors Affecting ◽  
Factors Analysis ◽  
Increase Productivity

This study entittled "FACTORS AFFECTING FOREIGN DIRECT INVESTMENT(FDI) IN PURBALINGGA". The purpose of this study was to analyze some factorsaffecting foreign direct investment in Purbalingga. The study used independentvariables, including GDP, interest rates, inflation, labor costs,and infrastructureroads. The analysis tool used the classification assumptions and hypothesis testing.Data were used from 2001 to 2015. From the results of regression analysis, showedthat GDP, road 6infrastructure have a positive and significant impact. Interest ratesand labor costs have a negative and significant impact, while inflation wasseen not to have significant impact on foreign direct investment inflows. Theimplication of this study are goverment should increase productivity so the addedvalue generated can be increased, improving the quality of the workforce so asto create employment opportunities more widely to reduce unemployment, improvethe quality of development more adequate infrastructure of the whole area evenlyPurbalingga.Keywords: FDI, factors analysis, regression analysis.  

Type of Gambling and Availability as Risk Factors for Problem Gambling: A Tobit Regression Analysis by Age and Gender

2007 ◽  
Vol 7 (2) ◽  
pp. 183-198 ◽  
Author(s):  
John W. Welte ◽  
Grace M. Barnes ◽  
William F. Wieczorek ◽  
Marie-Cecile O. Tidwell ◽  
Joseph H. Hoffman
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Problem Gambling ◽  
Tobit Regression ◽  
Age And Gender ◽  
Type Of Gambling ◽  
And Gender ◽  
Tobit Regression Analysis

scholarly journals The Impact of International Trade on Central Bank Efficiency: An Application of DEA and Tobit Regression Analysis

2021 ◽  
Vol 9 (1) ◽  
pp. 223-240
Author(s):  
Qaiser Farooq Dar ◽  
Young-Hyo Ahn ◽  
Gulbadin Farooq Dar
Keyword(s):  
Regression Analysis ◽  
International Trade ◽  
Central Bank ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Tobit Regression ◽  
Bank Efficiency ◽  
Tobit Regression Analysis ◽  
The Impact

The purpose of this study is to introduce a novel methodology to measure the central bank efficiency. The data envelopment analysis (DEA) applies in the combination of three input and two output variables characterizing the economic balance in international trade.  Super-efficiency DEA model is applied for ranking & comparing the efficiency of different central banks. In contrast, the Malmquist productivity index (MPI) is used to measure the productivity change over the period of time. Further, the study is extended to quantify the impact of international trade dimension on the efficiency of the central bank by using Tobit regression analysis. Finally, based on our data analysis, we reported that the efficiency changes over the period of time and the total productivity changes significantly due to the technology shift as compared to efficiency change. Additionally, it is also observed that the central bank efficiency is impacted dramatically by the export level of the country as compared to import level, average exchange rate and GDP. It implies that the export level of the country significantly influences the performances of the central bank.

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