IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v10y2022i2p44-d840242.html
   My bibliography  Save this article

ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks

Author

Listed:
  • Tu D. Q. Le

    (Institute for Development and Research in Banking Technology, University of Economics and Law, Ho Chi Minh City 700000, Vietnam
    Vietnam National University, Ho Chi Minh City 700000, Vietnam)

  • Thanh Ngo

    (School of Aviation, Massey University, Palmerston North 4442, New Zealand
    University of Economics & Business, Vietnam National University, Hanoi 100000, Vietnam)

  • Tin H. Ho

    (Institute for Development and Research in Banking Technology, University of Economics and Law, Ho Chi Minh City 700000, Vietnam
    Vietnam National University, Ho Chi Minh City 700000, Vietnam)

  • Dat T. Nguyen

    (Institute for Development and Research in Banking Technology, University of Economics and Law, Ho Chi Minh City 700000, Vietnam
    Vietnam National University, Ho Chi Minh City 700000, Vietnam)

Abstract

There is evidence that ICT developments can improve bank efficiency and performance. Previous studies often employ data envelopment analysis (DEA) to first examine bank performance and then use a second-stage regression to explain the influences of other environmental factors, including ICT, on such efficiency. Since DEA efficiency scores are bounded between the (0, 1] intervals, Tobit and truncated regressions are commonly used in this stage. However, none has accounted for the skewness characteristic of DEA efficiency. This paper applied a bootstrap-censored quantile regression (BCQR) approach to triply account for the issues of a small sample (via bootstrap), bounded intervals (via censored regression), and skewness (via quantile regression) in DEA analysis. We empirically examined the efficiency and performance of 27 Vietnamese commercial banks in the 2007–2019 period. The efficiency scores derived from our first stage revealed that they are skewed and thus, justify the use of the BCQR in the second stage. The BCQR results further confirmed that ICT developments could enhance bank efficiency, which supports the recent policy to restructure the Vietnamese banking sector toward innovation and digitalization. We also examined the impacts of other factors such as bank ownership, credit risk, and bank size on efficiency.

Suggested Citation

  • Tu D. Q. Le & Thanh Ngo & Tin H. Ho & Dat T. Nguyen, 2022. "ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks," IJFS, MDPI, vol. 10(2), pages 1-15, June.
    • Handle: RePEc:gam:jijfss:v:10:y:2022:i:2:p:44-:d:840242
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/10/2/44/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7072/10/2/44/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    2. Md. Nur Alam Siddik & Gang Sun & Sajal Kabiraj & Joghee Shanmugan & Cui Yanjuan, 2016. "Impacts of e-banking on performance of banks in a developing economy: empirical evidence from Bangladesh," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1066-1080, November.
    3. Berger, Allen N. & DeYoung, Robert, 2006. "Technological Progress and the Geographic Expansion of the Banking Industry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1483-1513, September.
    4. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    5. Stewart, Chris & Matousek, Roman & Nguyen, Thao Ngoc, 2016. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 96-111.
    6. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    7. Matthew J. Baker, 2014. "Adaptive Markov chain Monte Carlo sampling and estimation in Mata," Stata Journal, StataCorp LP, vol. 14(3), pages 623-661, September.
    8. Suneeta Sathye & Milind Sathye, 2017. "Do ATMs Increase Technical Efficiency of Banks in a Developing Country? Evidence from Indian Banks," Australian Accounting Review, CPA Australia, vol. 27(1), pages 101-111, March.
    9. Ana Lozano-Vivas & Fotios Pasiouras, 2014. "Bank Productivity Change and Off-Balance-Sheet Activities Across Different Levels of Economic Development," Journal of Financial Services Research, Springer;Western Finance Association, vol. 46(3), pages 271-294, December.
    10. Allen Berger & Robert DeYoung, 2001. "The Effects of Geographic Expansion on Bank Efficiency," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(2), pages 163-184, April.
    11. B. J. Gajewski & R. Lee & M. Bott & U. Piamjariyakul & R. L. Taunton, 2009. "On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes' care planning process," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 933-944.
    12. Thuy T. T. Dao & Xuan T. T. Mai & Thanh Ngo & Tu Le & Huong Ho, 2021. "From Efficiency Analyses to Policy Implications: a Multilevel Hierarchical Linear Model Approach," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 28(3), pages 457-470, September.
    13. Simper, Richard & Dadoukis, Aristeidis & Bryce, Cormac, 2019. "European bank loan loss provisioning and technological innovative progress," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 119-130.
    14. Hai-Dang Nguyen & Thanh Ngo & Tu DQ Le & Huong Ho & Hai T.H. Nguyen, 2019. "The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam," Sustainability, MDPI, vol. 11(9), pages 1-10, April.
    15. Carmen Weigelt & MB Sarkar, 2012. "Performance implications of outsourcing for technological innovations: managing the efficiency and adaptability trade‐off," Strategic Management Journal, Wiley Blackwell, vol. 33(2), pages 189-216, February.
    16. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    17. Tram Nguyen & David Tripe & Thanh Ngo, 2018. "Operational Efficiency of Bank Loans and Deposits: A Case Study of Vietnamese Banking System," IJFS, MDPI, vol. 6(1), pages 1-13, January.
    18. Javier Vidal-García & Marta Vidal & Sabri Boubaker & Majdi Hassan, 2018. "The efficiency of mutual funds," Annals of Operations Research, Springer, vol. 267(1), pages 555-584, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sabri Boubaker & T.D.Q. Le & R. Manita & T. Ngo, 2023. "The Trade-off Frontier for ESG and Sharpe Ratio: A Bootstrapped Double-Frontier Data Envelopment Analysis," Post-Print hal-04434028, HAL.
    2. M. Rahila Begam & Manivannan Babu & M. M. Sulphey, 2024. "Development and Validation of an Islamic Investor’s Sentiment Scale for Stock Market Investment," Business Perspectives and Research, , vol. 12(1), pages 26-44, January.
    3. Quyen Le Hoang Thuy To Nguyen, 2024. "The relationships between some macro indicators and digitalization process: A study in the Southeast region in Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(3), pages 44-58.
    4. Mohammad Ashraful Ferdous Chowdhury & Mohammad Abdullah & Nurun Nowshin Chowdhury Nazia & Debarshi Roy, 2023. "The nonlinear and threshold effects of IT investment on the banking sector of Bangladesh," Economic Change and Restructuring, Springer, vol. 56(6), pages 4253-4283, December.
    5. Ting Li Liu & Muhammad Mateen Naveed & Sohaib Mustafa & Muhammad Tahir Naveed, 2024. "Analysing the impact of digital technology diffusion on the efficiency and convergence process of the commercial banking industry of Pakistan," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-27, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ikram Ullah Khan & Sadaqat Ali & Habib Nawaz Khan, 2018. "Market Concentration, Risk-taking, and Efficiency of Commercial Banks in Pakistan: An Application of the Two-Stage Double Bootstrap DEA," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 65-96, June.
    2. Pelletier, Adeline, 2018. "Performance of foreign banks in developing countries: Evidence from sub-Saharan African banking markets," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 292-311.
    3. Boutheina Bannour & Asma Sghaier & Mohammad Nurunnabi, 2020. "How to Choose a Nonparametric Frontier Model? Technical Efficiency of Turkish Banks Assessing Global," Global Business Review, International Management Institute, vol. 21(2), pages 348-364, April.
    4. Hasanul Banna & Syed Karim Bux Shah & Abu Hanifa Md Noman & Rubi Ahmad & Muhammad Mehedi Masud, 2019. "Determinants of Sino-ASEAN Banking Efficiency: How Do Countries Differ?," Economies, MDPI, vol. 7(1), pages 1-23, February.
    5. Facundo Costa de Arguibel & Carolina Wittig & Juan Antonio Dip, 2023. "Estructura de Propiedad, Origen de Capital y Eficiencia Bancaria: Evidencia para A," Working Papers 251, Red Nacional de Investigadores en Economía (RedNIE).
    6. Agostino, Mariarosaria & Ruberto, Sabrina & Trivieri, Francesco, 2023. "The role of local institutions in cooperative banks’ efficiency. The case of Italy," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 84-103.
    7. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    8. Thilakaweera, Bolanda Hewa & Harvie, Charles & Arjomandi, Amir, 2016. "Branch expansion and banking efficiency in Sri Lanka’s post‐conflict era," Journal of Asian Economics, Elsevier, vol. 47(C), pages 45-57.
    9. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    10. Allen N. Berger, 2007. "International Comparisons of Banking Efficiency," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 16(3), pages 119-144, August.
    11. Sabri Boubaker & T.D.Q. Le & T. Ngo & R. Manita, 2023. "Predicting the Performance of MSMEs: A Hybrid DEA-machine Learning Approach," Post-Print hal-04434027, HAL.
    12. Tu D. Q. Le & Tin H. Ho & Thanh Ngo & Dat T. Nguyen & Son H. Tran, 2022. "A Dataset for the Vietnamese Banking System (2002–2021)," Data, MDPI, vol. 7(9), pages 1-8, August.
    13. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    14. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    15. San-Jose, Leire & Retolaza, Jose Luis & Torres Pruñonosa, Jose, 2014. "Efficiency in Spanish banking: A multistakeholder approach analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 240-255.
    16. Zhenni Yang & Christopher Gan & Zhaohua Li, 2019. "Role of Bank Regulation on Bank Performance: Evidence from Asia-Pacific Commercial Banks," JRFM, MDPI, vol. 12(3), pages 1-25, August.
    17. Wu, Yueh-Cheng & Wei Kiong Ting, Irene & Lu, Wen-Min & Nourani, Mohammad & Kweh, Qian Long, 2016. "The impact of earnings management on the performance of ASEAN banks," Economic Modelling, Elsevier, vol. 53(C), pages 156-165.
    18. Thanh Ngo & Tu DQ Le & Dat T Nguyen & Tin H Ho, 2023. "Determinants Of Bank Performance: Revisiting The Role Of Ceo’S Personality Traits Using Graphology," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(2), pages 289-310, May.
    19. Manuel Illueca & José Pastor & Emili Tortosa-Ausina, 2009. "The effects of geographic expansion on the productivity of Spanish savings banks," Journal of Productivity Analysis, Springer, vol. 32(2), pages 119-143, October.
    20. Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020. "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 147-166.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijfss:v:10:y:2022:i:2:p:44-:d:840242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.