Unlocking financial inclusion: Indian banks' efficiency in Pradhan Mantri Jan-Dhan Yojana explored through DEA

被引:0
作者
Singh, Ajay Pal [1 ]
Deep, Gagan [2 ]
机构
[1] Govt Degree Coll, Dept Commerce, Mandi, India
[2] Govt Coll Una, Dept Commerce, Una, India
来源
RAJAGIRI MANAGEMENT JOURNAL | 2025年 / 19卷 / 01期
关键词
PMJDY; Financial inclusion; Data envelopment analysis; Banks efficiency; PUBLIC-SECTOR BANKS; MODEL;
D O I
10.1108/RAMJ-04-2024-0119
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeFinancial inclusion is a prerequisite for inclusive development. In 2014, the Indian Government introduced the Pradhan Mantri Jan-Dhan Yojana (PMJDY) with a similar objective. The study aims to analyse the effectiveness of banks in the implementation of financial inclusion policy, i.e. PMJDY.Design/methodology/approachTo evaluate the effectiveness of Indian banks, the study used the data over a seven-year period, from 2014-2015 to 2020-2021. Data are analysed by using the data envelopment analysis technique.FindingsThe study discovered that public sector banks performed better than private sector banks (PVBs) in terms of boosting financial inclusion under the PMJDY scheme. In terms of implementing the PMJDY programme, the State Bank of India rated first.Practical implicationsResults recommended that policymakers set goals for banks. In order to encourage consumers to utilise their accounts, banks ought to introduce supplementary financial products and implement incentive programs.Originality/valueThe study is the first of its kind to measure the performance of Indian banks in the implementation of the PMJDY scheme.
引用
收藏
页码:2 / 17
页数:16
相关论文
共 49 条
[1]  
Agarwal M., 2017, Parikalpana: KIIT Journal of Management, V13, P97, DOI [10.23862/kiit-parikalpana/2017/v13/i2/164524, DOI 10.23862/KIIT-PARIKALPANA/2017/V13/I2/164524]
[2]  
Agarwal P.K., 2016, International Journal of Management Research and Reviews, V6, P1443
[3]  
Agarwala V., 2022, International Journal of Economics and Business Research, V24, P234, DOI [10.1504/ijebr.2022.10038248, DOI 10.1504/IJEBR.2022.10038248]
[4]  
Anand, 2016, AEIJMR, V4, P1
[5]  
Ananth S., 2013, Economic and Political Weekly, V48, P77
[6]   SOME MODELS FOR ESTIMATING TECHNICAL AND SCALE INEFFICIENCIES IN DATA ENVELOPMENT ANALYSIS [J].
BANKER, RD ;
CHARNES, A ;
COOPER, WW .
MANAGEMENT SCIENCE, 1984, 30 (09) :1078-1092
[7]  
Behera D., 2021, Journal of Economic Policy and Research, V16, P662, DOI [10.4324/9781315542850-2, DOI 10.4324/9781315542850-2]
[8]  
Chakrabarty K., 2011, RBI Bulletin, P1831
[9]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[10]  
Cooper WW, 2011, INT SER OPER RES MAN, V164, P1, DOI 10.1007/978-1-4419-6151-8_1