THE IMPACT OF GREEN CREDIT ON THE FINANCIAL EFFICIENCY OF JOINT STOCK COMMERCIAL BANKS
DOI:
https://doi.org/10.62985/j.huit_ojs.vol26.no3E.660Keywords:
Performance, technical efficiency, Data Envelopment Analysis, Malmquist index.Abstract
Green credit plays a pivotal role in guiding and optimizing capital flows toward environmentally sustainable production and business sectors. This study evaluates efficiency levels and the impact of green credit on joint stock commercial banks from 2020 to 2024. Employing the DEA-Malmquist Total Factor Productivity (TFP) index and its decomposition components, the analysis measures technical efficiency and technological progress across 10 selected institutions. The results show that not all banks providing green credit have high total factor productivity (TFP). The results indicate that joint stock commercial banks utilize input resources relatively efficiently, as reflected by a high average technical efficiency index. The Malmquist productivity index is employed to examine changes in the productivity of joint stock commercial banks over time. The research findings indicate that changes in the Malmquist productivity index are primarily driven by technological change (techch).
References
[1] Q. Fan and W. Gao, “Climate risk and financial stability: The mediating effect of green credit,” Finance Research Letters, vol. 65, p. 105558, Jul. 2024, doi: https://doi.org/10.1016/j.frl.2024.105558
[2] Y. Wang, X. Lei, D. Zhao, R. Long, and M. Wu, “The dual impacts of green credit on economy and environment: Evidence from China,” Sustainability, vol. 13, no. 8, p. 4574, 2021, doi: https://doi.org/10.3390/su13084574
[3] B. Chen, M. Y. Han, K. Peng, S. L. Zhou, L. Shao, X. F. Wu, W. D. Wei, S. Y. Liu, Z. Li, J. S. Li, and G. Q. Chen, “Global land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains,” Science of the Total Environment, vol. 613, pp. 931–943, 2018, doi: https://doi.org/10.1016/j.scitotenv.2017.09.138
[4] T. J. Coelli, A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program, Working Paper No. 96/08, Centre for Efficiency and Productivity Analysis, University of New England, Armidale, Australia. Available: https://www.owlnet.rice.edu/~econ380/DEAP.PDF
[5] D. Kim, J. Na, and H.-K. Ha, “Exploring the impact of green logistics practices and relevant government policy on the financial efficiency of logistics companies,” Heliyon, vol. 10, no. 10, p. e30916, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e30916
[6] R. Fare, S. Grosskopf, M. Norris, and Z. Zhang, “Productivity growth, technical progress, and efficiency change in industrialized countries,” The American Economic Review, vol. 84, no. 1, pp. 66–83, 1994, https://www.jstor.org/stable/2117971
[7] J. S. Liu, L. Y. Y. Lu, W. M. Lu, and B. J. Y. Lin, “A survey of DEA applications,” Omega, vol. 41, no. 5, pp. 893–902, 2013, doi: https://doi:10.1016/j.omega.2012.11.004
[8] M. J. Farrell, “The measurement of productive efficiency,” Journal of the Royal Statistical Society, vol. 120, no. 3, pp. 253–281, 1957, doi: https://doi.org/10.2307/2343100
[9] H. Min and S.-J. Joo, “Benchmarking third-party logistics providers using data envelopment analysis: an update,” Benchmarking: An International Journal, vol. 16, no. 5, pp. 572–587, 2009, doi: https://doi.org/10.1108/14635770910987814
[10] Donthu, E. K. Hershberger, and T. Osmonbekov, “Benchmarking marketing productivity using data envelopment analysis,” Journal of Business Research, vol. 58, no. 11, pp. 1474–1482, 2005, doi: https://doi.org/10.1016/j.jbusres.2004.05.007
[11] Y. C. Ng, “The productive efficiency of the health care sector of China,” The Review of Regional Studies, vol. 38, no. 3, pp. 381–393, 2008, doi: https://doi.org/10.52324/001c.8272
[12] S. Percin and T. Y. Ayan, “Measuring efficiency of commercial banks in a developing economy: the case of Turkey,” Investment Management and Financial Innovations, vol. 3, no. 2, pp. 217–231, 2006, https://www.researchgate.net/publication/315619473
[13] R. Ramanathan, “Operations assessment of hospitals in the Sultanate of Oman,” International Journal of Operations & Production Management, vol. 25, no. 1, pp. 39–54, 2005, doi: https://doi.org/10.1108/01443570510572231
[14] A. N. Rezitis, “Productivity growth in the Greek banking industry: a non-parametric approach,” Journal of Applied Economics, vol. 9, no. 1, pp. 119–138, 2006, doi: https://doi.org/10.1080/15140326.2006.12040641
[15] R. W. Shephard, Theory of Cost and Production Functions. Princeton, NJ, USA: Princeton University Press, 1970, doi: https://doi.org/10.2307/2230285
[16] W. K. Wong, K. L. Soh, C. L. Chong, and N. Karia, “Logistics firms performance: efficiency and effectiveness perspectives,” International Journal of Productivity and Performance Management, vol. 64, no. 5, pp. 686–701, 2015, doi: https://doi.org/10.1108/IJPPM-12-2013-0205
[17] D. W. Caves, L. R. Christensen, and W. E. Diewert, “The economic theory of index numbers and the measurement of input, output, and productivity,” Econometrica, vol. 50, no. 6, pp. 1393–1414, 1982, doi: https://doi.org/10.2307/1913388


