IDEAS home Printed from https://ideas.repec.org/a/lpe/efijnl/201513.html
   My bibliography  Save this article

Technical Efficiency Levels of Rural Banks (BPRs) in West Java: A Stochastic Frontier Approach

Author

Listed:
  • Putu Geniki Lavinia Natih

    (Trinity College, Oxford University)

Abstract

There is considerable evidence from around the world to support the idea that access to formal financial services is a key factor towards achieving poverty alleviation. The government of Indonesia has placed high importance on the issue of improved access to financial services and one feels that it would be appropriate to begin the process of analyzing effective financial inclusion initiatives with the existing Bank Perkreditan Rakyat (BPR) system. BPRs have long been an integral part of Indonesia’s financial, economic, and social development. This research is focused on BPRs in West Java. In this research, the writer evaluates BPR performance within twenty-five districts in West Java, by measuring the technical efficiency levels of the BPRs through employing the Stochastic Frontier Approach (SFA). The district that has the highest BPR average inefficiency score is Bandung city and the district with the lowest average BPR inefficiency score is the district of Ciamis. Increases in bank concentration (indicated by the Hirschman-Herfindahl Index) and income per capita are shown to decrease BPR inefficiency levels. Increases in the percentage of the population under the poverty line, the percentage of the labor force with a high school education, the percentage of road length per area, and the amount of bank offices per district, increase the inefficiency levels of BPRs. Overall, it is found that BPRs cannot operate efficiently in areas which are too underdeveloped; neither can they operate efficiently in areas which are too well developed.

Suggested Citation

  • Putu Geniki Lavinia Natih, 2015. "Technical Efficiency Levels of Rural Banks (BPRs) in West Java: A Stochastic Frontier Approach," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 61, pages 223-240, December.
    • Handle: RePEc:lpe:efijnl:201513
    as

    Download full text from publisher

    File URL: http://www.lpem.org/repec/lpe/efijnl/201513.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tatiana Nenova & Cecile Thioro Niang & Anjum Ahmad, 2009. "Bringing Finance to Pakistan's Poor : Access to Finance for Small Enterprises and the Underserved," World Bank Publications - Books, The World Bank Group, number 13803, December.
    2. Allen N. Berger & Timothy H. Hannan, 1998. "The Efficiency Cost Of Market Power In The Banking Industry: A Test Of The "Quiet Life" And Related Hypotheses," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 454-465, August.
    3. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    4. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    5. Marguerite S. Robinson, 2002. "The Microfinance Revolution : Volume 2. Lessons from Indonesia," World Bank Publications - Books, The World Bank Group, number 14254, December.
    6. Margono, Heru & Sharma, Subhash C. & Melvin II, Paul D., 2010. "Cost efficiency, economies of scale, technological progress and productivity in Indonesian banks," Journal of Asian Economics, Elsevier, vol. 21(1), pages 53-65, February.
    7. A S Camanho & R G Dyson, 2005. "Cost efficiency, production and value-added models in the analysis of bank branch performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 483-494, May.
    8. Kaparakis, Emmanuel I & Miller, Stephen M & Noulas, Athanasios G, 1994. "Short-Run Cost Inefficiency of Commercial Banks: A Flexible Stochastic Frontier Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(4), pages 875-893, November.
    9. Peter Bogetoft & Lars Otto, 2011. "Benchmarking with DEA, SFA, and R," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7961-2, September.
    10. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    11. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    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. Zhang, Jianhua & Jiang, Chunxia & Qu, Baozhi & Wang, Peng, 2013. "Market concentration, risk-taking, and bank performance: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 149-157.
    2. repec:onb:oenbwp:y::i:96:b:1 is not listed on IDEAS
    3. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    4. Marko Košak & Peter Zajc & Jelena Zorić, 2009. "Bank efficiency differences in the new EU member states," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 9(2), pages 67-90, December.
    5. Kabir Hassan, M. & Tufte, David R., 2001. "The X-Efficiency of a Group-Based Lending Institution: The Case of the Grameen Bank," World Development, Elsevier, vol. 29(6), pages 1071-1082, June.
    6. Kwan, Simon H., 2006. "The X-efficiency of commercial banks in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1127-1147, April.
    7. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    8. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
    9. Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
    10. Subal Kumbhakar & Efthymios Tsionas, 2008. "Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the U.S. commercial banks," Empirical Economics, Springer, vol. 34(3), pages 585-602, June.
    11. José Luis Gallizo & Jordi Moreno & Manuel Salvador, 2015. "European banking integration: is foreign ownership affecting banking efficiency?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(2), pages 340-368, April.
    12. Julia Schaefer & Marcel Clermont, 2018. "Stochastic non-smooth envelopment of data for multi-dimensional output," Journal of Productivity Analysis, Springer, vol. 50(3), pages 139-154, December.
    13. Dániel Holló & Márton Nagy, 2006. "Bank Efficiency in the Enlarged European Union," BIS Papers chapters, in: Bank for International Settlements (ed.), The banking system in emerging economies: how much progress has been made?, volume 28, pages 217-35, Bank for International Settlements.
    14. Gabriel Asaftei & Subal Kumbhakar, 2008. "Regulation and efficiency in transition: the case of Romanian banks," Journal of Regulatory Economics, Springer, vol. 33(3), pages 253-282, June.
    15. Al-Gasaymeh, Anwar, 2016. "Bank efficiency determinant: Evidence from the gulf cooperation council countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 214-223.
    16. Jiang, Chunxia & Yao, Shujie & Feng, Genfu, 2013. "Bank ownership, privatization, and performance: Evidence from a transition country," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3364-3372.
    17. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    18. Pavlos Almanidis & Robin C. Sickles, 2016. "Banking Crises, Early Warning Models, and Efficiency," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 331-364, Springer.
    19. Maudos, Joaquin & de Guevara, Juan Fernandez, 2007. "The cost of market power in banking: Social welfare loss vs. cost inefficiency," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2103-2125, July.
    20. Ariel Gustavo Letti & Mauricio Vaz Lobo Bittencourt & Luis E. Vila, 2022. "Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutions," Journal of Productivity Analysis, Springer, vol. 58(1), pages 55-74, August.
    21. Mamatzakis, Emmanuel & Staikouras, Christos & Koutsomanoli-Filippaki, Anastasia, 2008. "Bank efficiency in the new European Union member states: Is there convergence?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1156-1172, December.

    More about this item

    Keywords

    Bank Perkreditan Rakyat (BPR); West Java; Technical Efficiency; Stochastic Frontier Approach (SFA);
    All these keywords.

    JEL classification:

    • D - Microeconomics
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • G - Financial Economics
    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

    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:lpe:efijnl:201513. 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: Muhammad Halley Yudhistira (email available below). General contact details of provider: https://edirc.repec.org/data/feuinid.html .

    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.