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<title>Department of Banking and Insurance</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/53</link>
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<dc:date>2026-04-07T01:55:40Z</dc:date>
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<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4693">
<title>Impact of Initial Public Offerings on Capital Market Development of Bangladesh</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4693</link>
<description>Impact of Initial Public Offerings on Capital Market Development of Bangladesh
Hossain, Md. Iqbal
This thesis conducts a comprehensive analysis of the impacts of Initial Public Offerings (IPOs) &#13;
on the development of the capital market in Bangladesh, which is recognized as one of the &#13;
fastest-growing economies in South Asia. In this context, the increasing capital needs of &#13;
entrepreneurs are primarily met by state-owned and private commercial banks, as well as non&#13;
banking financial institutions, due to the underdeveloped nature of the stock market. Bank &#13;
financing is influenced by monetary policies, particularly the bank rates set annually by the &#13;
central bank. While some studies highlight the necessity of strengthening the debt and equity &#13;
securities market to support Bangladesh's rapid economic growth, there are ongoing debates &#13;
about the extent to which the capital market contributes to the development process by providing &#13;
alternative financing sources for entrepreneurs through public and private offerings. To bridge &#13;
this understanding gap, I examine the impacts of Initial Public Offerings on the development of &#13;
Bangladesh's capital market through a meticulous examination of primary and secondary data &#13;
sources, including closed-end questionnaire, IPO Prospectus and regulatory documents from &#13;
different stakeholders of the capital market i.e., Ministry of Finance, BSEC, BB, DSE, CSE, &#13;
published articles, daily newspapers etc. and use annual data from 1994 to 2023. Employing &#13;
multiple regression analysis, I find that IPO financing, unemployment rate, foreign portfolio &#13;
trade, and DSE Broad Index significantly and positively influence the Market Capitalization to &#13;
GDP ratio of the capital market of Bangladesh. Notably, foreign portfolio trade exerts the largest &#13;
effect on the Market Capitalization to GDP ratio, followed by IPO financing, unemployment rate &#13;
and DSE Broad Index. The findings underscore the need to encourage more quality IPO &#13;
issuances by addressing the barriers that deter large companies, including multinational &#13;
corporations and state-owned entities, from pursuing public financing. Additionally, increasing &#13;
the size of issuances and ensuring the proper utilization of IPO proceeds are essential steps to &#13;
further develop the capital market of Bangladesh.
This thesis is submitted for the degree of Doctor of Philosophy.
</description>
<dc:date>2025-07-08T00:00:00Z</dc:date>
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<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4066">
<title>An Empirical Study of the Determinants of Non-performing Loan of   State Owned Commercial Banks of Bangladesh</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/4066</link>
<description>An Empirical Study of the Determinants of Non-performing Loan of   State Owned Commercial Banks of Bangladesh
Hossain, Sheikh Mozaffar
The issue of nonperforming loan (NPL) is crucial in the context of Bangladesh. It is more &#13;
crucial in case of the state-owned commercial banks (SCBs). As per annual reports of &#13;
Bangladesh Bank (BB), the overall NPL ratio of the banking industry is about 9% during the &#13;
research period, 20009-2020. But the NPL ratio of the SCBs is about 22% during the same &#13;
period. Despite having valuable strengths like sovereign ownership, qualified manpower and &#13;
enormous infrastructure, the performance of the SCBs is disappointing. According to the &#13;
annual reports of the SCBs, the average share of the industry NPL of the SCBs was 47.44% as &#13;
against 26.71% share of industry asset during 2009-2020. This high rate of NPL has become a &#13;
matter of concern for all. Though the regulators and the government have taken several steps, &#13;
the NPL is increasing at a progressive rate. The first step of the way out of this situation is &#13;
obviously subject to the identification of actual causes of the NPL. Under this backdrop, this &#13;
paper attempts to identify the determinants of the NPL of the SCBs of Bangladesh. For this &#13;
purpose, I studied a novel panel data for a period of 2009-2020 along with the analysis of &#13;
primary data to identify the impact of the qualitative factors. Note that it is not possible to go &#13;
back beyond 2009 since one of the SCBs, BDBL, commenced its function as a commercial &#13;
bank in 2009.  &#13;
The NPL is not a local issue only. In fact, it has become a global issue since the Asian crisis of &#13;
1997 and this issue has attracted increased attention after the global financial crisis of 2007&#13;
2008. Since then, researchers have carried out many studies to find out the determinants of the &#13;
NPL of banks. Those studies are mainly quantitative analysis, in which static or dynamic panel &#13;
data are regressed using estimator such as Pulled OLS, Fixed Effect (FE) and Randoms Effect &#13;
(RE) and GMM either discretely or together. A few studies are, however, conducted using &#13;
VAR model specially where the feedback effects of NPL on the independent variables are &#13;
examined. Except for a very few cases, almost all the previous studies used panel data over a &#13;
period of 5 to 12 years. Some of the previous studies estimate the impact of only &#13;
macroeconomic variables while some estimate the impact of only bank-specific factors. On the &#13;
other hand, many of the earlier studies investigate the joint impact of macro and bank-specific &#13;
variables. The common macroeconomic variables used in the previous studies are GDP growth &#13;
rate, inflation rate, unemployment rate, exchange rate, weighted average lending rate and share &#13;
price index. On the other hand, commonly estimated bank-specific variables are credit growth, &#13;
bank size, loan deposit ratio, management inefficiency, ROA, and ROE. However, some very &#13;
important issues are missing in all the earlier studies. One very important missing issue is the &#13;
study of the impact of supply of loanable fund on the loan quality. Loan is a major asset for a &#13;
bank created using fund, which largely depends on the demand for loanable fund. This asset or &#13;
use of fund must be impacted by the liability or source of fund i.e., the supply of loanable fund, &#13;
a major portion of which comes in the form of deposits collected from the depositors by the &#13;
banks. Another missing component is the analysis of the impact of ICT combining with other &#13;
explanatory variables for the NPL. Modern lending business uses ICT all the time. The success &#13;
of lending business largely depends on the proper management of ICT risk of a bank. Similarly, &#13;
the examination of the influences of risk associated with asset liability management (ALM) is &#13;
missing in the previous studies though bank business is basically a business of ALM. Previous &#13;
iv &#13;
studies have also not estimated the influence of forbearance as far as I know. Banks grant the &#13;
forbearance, especially in the form of interest waiver, not as an endowment but for facilitating &#13;
the recovery of loans and advances. So, studies that attempt to identify determinants of NPL &#13;
should cover the impact of the forbearance too.  &#13;
Nevertheless, quantitative analysis is not enough for identifying the determinants of the NPL &#13;
even if the impact of the supply of loanable fund, ICT, ALM and forbearance is considered. &#13;
There are factors such external pressure, internal malpractice, poor corporate governance, &#13;
aggressive banking etc., which are believed to have significant impact on the NPL but it is not &#13;
possible to maintain time series data on such factors. To capture the impact of such factors, &#13;
survey based qualitative study is needed. Though there are some qualitative analyses available &#13;
in literature on the determinants of NPL, those are not done simultaneously with the &#13;
quantitative studies. Moreover, previous qualitative studies suffer from two major &#13;
shortcomings. The first one is the inadequacy of sample size in most of the cases and the second &#13;
one is the exclusion of conversant respondents. All the previous survey-based studies collected &#13;
opinion either from bankers or from borrowers or both. But the opinions of the respondents of &#13;
two very important categories namely, regulators and researchers are not considered in the &#13;
previous survey-based studies as far as I know. Specially, anonymous opinion of the officials &#13;
working in the regulatory body is very important because those officials deal with loan &#13;
performance and have the real clues about the causes of NPL.  &#13;
Therefore, the present dissertation adopts a mixed method of quantitative and qualitative &#13;
analysis in the investigation of factors responsible for the high NPL of the SCBs of Bangladesh. &#13;
In the quantitative analysis, a total of 14 hypotheses are tested. These propositions include 5 &#13;
macroeconomic issues and 9 on bank-specific factors developed through comprehensive &#13;
review of literature and gap analysis. The macroeconomic factors are real GDP growth rate, &#13;
unemployment rate, change in real effective exchange rate (REER), stock price index and real &#13;
lending rate. Note that ‘inflation rate’ has been dropped from the initial specification for its &#13;
autocorrelation with REER and ΔREER has been used instead of REER for stationary purpose. &#13;
The bank-specific variables are deposit growth, loan deposit ratio, management inefficiency, &#13;
credit growth, bank size, capital adequacy ratio, growth of interest waiver, ALM risk &#13;
management and ICT risk management. Note that I avoided ROA or ROE since SCBs are &#13;
losing concerns and they depend on continuous budgetary support from the government. &#13;
However, the quantitative analysis on the impact of supply of loanable fund (represented by &#13;
deposit growth), growth of interest waiver (as proxy of forbearance), ALM risk management &#13;
and ICT risk management combining with the impact of other exogeneous and endogenous &#13;
factors is the first of its kind to the best of my knowledge. &#13;
In the qualitative analysis, I collected the opinion of 394 respondents with a five-point LIKERT &#13;
scale against a minimum sample size of 385 required for a large finite population. The survey &#13;
is conducted among four categories of respondents namely, state-owned banker, borrowers of &#13;
SCBs, officials of regulatory body involved with offsite and onsite supervision and regulation &#13;
of the SCBs and researches who usually conduct researches on credit related issues. Survey &#13;
based qualitative analysis accommodating opinion of regulators and researchers along with that &#13;
of bankers and borrowers is also the first of its kind as far as I know. I collected primary data &#13;
v &#13;
on seven broad issues. These issues are macroeconomic conditions, corporate governance, &#13;
credit risk management, loan administration, external pressure and internal malpractice, legal &#13;
and regulatory framework, and competition in the banking industry. The parameters or &#13;
variables of the issues of macroeconomic conditions, credit risk management and loan &#13;
administration are designed in such a way that the outcome of the qualitative analysis on these &#13;
issues can confirm or deny the outcome of quantitative analysis.  &#13;
As for econometric techniques of analyzing the quantitative factors, four estimators namely &#13;
Pooled Ordinary Least Squares (OLS), Fixed-effect (FE), Random-effect (RE) and Generalized &#13;
Least Squares (GLS) are used. Moreover, a comparison of the estimations of these four &#13;
estimators are made through Breusch and Pagan Lagrange multiplier test and Hausman test to &#13;
find the most efficient result. In the estimation process, model specification is validated though &#13;
various diagnostic tests including panel unit root test, multicollinearity test, omitted variable &#13;
test, heteroscedasticity test, autocorrelation test, and cross-sectional dependency test. The &#13;
estimators mentioned above are used to regress a total of 3 (three) models. The first two models &#13;
capture the stand-alone impact of only macroeconomic and bank specific variables. The third &#13;
estimates the joint impact of the bank-specific and macroeconomic factors. For the robustness &#13;
of the study, GMM estimation is also performed, but the GMM model itself is not significant &#13;
at conventional significance level of &lt;0.05 in terms of AR(1). On the other hand, technical &#13;
analysis of qualitative factors is done through principal component analysis (PCA). In the &#13;
process of analyzing the principal component, I conducted various tests for ensuring a precise &#13;
result. These include the reliability test of survey data through Cronbach’s alpha, linearity test, &#13;
sampling adequacy test through KMO Bartlett’s test, data reduction suitability test through &#13;
Bartlett’s test of sphericity, significant outlier test, data distribution test, communalities test &#13;
etc.  &#13;
According to the outcome of the panel data regression, a combination of macroeconomic and &#13;
bank-specific factors explains the variation of NPL ratio of the SCBs of Bangladesh while &#13;
standalone macroeconomic or bank-specific factors cannot explain the variation. In terms of &#13;
the significance of individual factors, regression of Pooled OLS, FE, RE and GLS estimators &#13;
suggest that unemployment rate, real lending rate and change in REER have significant positive &#13;
correlation with the NPL ratio. This outcome confirms the finding of most of the previous &#13;
studies. The unpredicted direct relation between NPL ratio and real GDP growth rate, though &#13;
not unprecedented, is probably the result of business expansion by large borrowers during &#13;
economic upturn withholding the repayment of current loan. Among the bank specific &#13;
variables, deposit growth has been found to have an inverse association with the NPL ratio &#13;
showing the significance of the supply of loanable fund in explaining the variation of NPL &#13;
ratio, which has not been explored before. Similarly, ALRM and ICTRM are also found to &#13;
have significant impact on the NPL ratio when assessed combinedly with other traditional &#13;
macroeconomic and bank specific variables. Other bank specific variables sch as loan deposit &#13;
ratio and management inefficiency have significant positive association with the NPL ratio as &#13;
per the estimations. Conversely, credit growth and bank size are found to have significant &#13;
negative correlation with the NPL ratio. These are all in conformity with the previous findings &#13;
and the current model specification. Other factors included in the specification namely, stock &#13;
price index, forbearance, and CAR cannot explain the variation of NPL ratio of the SCBs. &#13;
vi &#13;
GMM estimation, though not significant at the level of AR(1) = Pr&lt;0.05, suggests that previous &#13;
year’s NPL ratio rises current year’s NPL ratio.  &#13;
Regarding qualitative analysis, PCA of primary data reveals that poor corporate governance is &#13;
the most influential component, which raises NPL. The second influential factor is the &#13;
inadequacy of legal and regulatory framework and the third one is inefficient loan &#13;
administration. Other principal components, which intensify the NPL are: adverse &#13;
macroeconomic conditions; pressure from influential quarter and malpractice by the bankers; &#13;
poor credit risk management; and unhealthy competition in the banking industry.  &#13;
The paper highlights the need for policy adjustment and operational modification in line with &#13;
the findings of the quantitative and qualitative analysis. Both the quantitative and qualitative &#13;
analysis reveals that macroeconomic condition impact loan performance of SCBs. &#13;
Accordingly, this paper recommends for considering potential movement of exogeneous &#13;
factors while formulating the lending policies and caring out lending operations. This &#13;
dissertation also suggests for considering external competitiveness of economy while &#13;
sanctioning large loans to the exporter borrowers. The discovery of a significant inverse &#13;
relation between the supply of loanable fund (represented by deposit growth) and NPL ratio &#13;
warrants the need for building low-cost core deposit base by the SCBs for easing the credit risk &#13;
management accommodating appropriate risk appetite. Meticulous compliance of &#13;
internationally best practiced rules and regulations can easily resolve the loan deposit ratio, &#13;
management inefficiency etc. issues and reduce the NPL. Current study suggests for &#13;
establishing a formal coordination channel between BB and MoF for improving the capacity &#13;
of the SCBs specially for maintaining credit quality through improving corporate governance, &#13;
and controlling external pressure and internal malpractice. Such coordination between these &#13;
two authorities can help establish compliance and credit culture in SCBs. Nevertheless, there &#13;
are some more complex issues such as composition of board, disposal of a growing number of &#13;
pending cases with money loan court, maintaining accountability of the sanctioning authority &#13;
for concerned NPL, raising bank size by merging losing small banks with larger ones, and &#13;
ensuring enough punishment for willful defaults. Disposal of these issues requires the reform &#13;
of legal and regulatory frameworks, which is not possible without strong political commitment.
This thesis is submitted for the degree of Doctor of Philosophy.
</description>
<dc:date>2025-04-10T00:00:00Z</dc:date>
</item>
<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/3453">
<title>Agricultural Credit and Its Impact on Agricultural Productivity: A Study on Rural Areas of Dhaka</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/3453</link>
<description>Agricultural Credit and Its Impact on Agricultural Productivity: A Study on Rural Areas of Dhaka
Hossain Patwary, Md. Sazzad
The agricultural sector has been regarded as the prime sector of the economy of Bangladesh &#13;
since the industrial sector took its roots from this sector, and the service sector is also passively &#13;
influenced by the agricultural sector. Besides its economic importance, this sector also has some &#13;
social (i.e., food supply, nutrition demand fulfilment, rural employment) and environmental (i.e., &#13;
influence on climate, biodiversity) contributions. In any developing country, economic and &#13;
financial activities largely depend on smooth financial intermediation. Banks, as financial &#13;
institutions, can play a vital role in this regard. Hence, Banks in Bangladesh can contribute to the &#13;
economic development process through effective and efficient lending. In view of this sectoral &#13;
importance, Bangladesh Bank has announced agricultural credit as a priority sector lending and &#13;
mandatorily incorporated all scheduled banks to lend in this sector to increase agricultural &#13;
productivity. &#13;
The purpose of this study is threefold: i) Detect the nature of the farmers’ agricultural credit &#13;
constraint status, explore the problems associated with access to banks’ agricultural credit and &#13;
find the intensity of banks’ agricultural credit diversion to non-agricultural purposes. ii) Identify &#13;
the determinants of constraint, access to credit and credit fungibility status. iii) Estimate the &#13;
impact of constraint, access to credit and credit fungibility status on agricultural productivity.    &#13;
A filed level survey was conducted over five sub-districts of Dhaka. Four hundred sampled &#13;
farmer’s data were collected through a structured, close-ended questionnaire. Collected data &#13;
were further analyzed with STATA 14.2 software in both descriptive (i.e., cross-tabulation, ratio, &#13;
mean and percentage) and analytical frameworks (i.e., probit regression model, propensity score &#13;
matching model)            &#13;
The outcome of descriptive statistics stated the condition of constraint status, access problems &#13;
and extent of fund diversion. The probit regression model identifies marital status, gender, risk &#13;
perception, cooperative membership, land ownership deed, total owned land and distance to bank &#13;
variables that are found statistically significant to explain the constraint status of the farmers. &#13;
While education, household size, household labor, krishi card, past access to bank credit, the &#13;
purpose of farming and bank account variables are found statistically significant to predict access &#13;
vii &#13;
to credit status. On the other hand, we have found that chronic diseases, delay in disbursement, &#13;
old debt, non-fixed assets, and household size variables significantly influence credit fungibility &#13;
status. Then paired t-test confirms several socio-economic differences exist between farmers' &#13;
group, i.e., constraint and unconstraint, accessed and non-accessed, fungible and non-fungible. &#13;
Results of the mean productivity confirm that unconstraint, accessed and non-fungible farmers' &#13;
input use, production and income are significantly higher than the constraint, non-accessed and &#13;
fungible farmers. Finally, PSM estimates revealed that the farmers' constraint and fungible status &#13;
negatively impact input use, production and income. While the access status of the farmers &#13;
positively affects input use, production and income.   &#13;
Bangladesh Bank, the central monetary authority of Bangladesh, annually issues Agricultural &#13;
and Rural Credit Policies and Programs for scheduled banks in Bangladesh. The empirical &#13;
findings of this research can contribute to the modification of the agricultural credit policy of &#13;
Bangladesh Bank. Moreover, other research findings, suggestions and recommendations can also &#13;
incrementally contribute to taking policy measures by different relevant stakeholders.    &#13;
The novelty of this study lies in using a very extensive, unique and newer data set to decompose &#13;
the determinants of banks’ agricultural credit constraints, access and diversion issues and their &#13;
corresponding impacts on agricultural productivity. In Bangladesh, to the best of our knowledge, &#13;
no work has been done on farmers' formal agricultural credit’s different status determination and &#13;
impact assessment issues based on micro-level data. Thus, we expect this evidence from &#13;
Bangladesh can contribute incrementally to the existing literature.
A Dissertation Submitted to the Department of Banking and Insurance and the Thesis Committee of University of Dhaka In Partial Fulfillment of the Requirements For the Degree of &#13;
Doctor of Philosophy (Ph.D.) in Banking and Economics.
</description>
<dc:date>2024-11-18T00:00:00Z</dc:date>
</item>
<item rdf:about="http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/3015">
<title>A Study on Accessibility of Differently-abled Persons in Banking Services</title>
<link>http://reposit.library.du.ac.bd:8080/xmlui/xmlui/handle/123456789/3015</link>
<description>A Study on Accessibility of Differently-abled Persons in Banking Services
Akter, Khaleda
The study, concisely, deals with the challenges that the differently-abled persons &#13;
(DAP) generally face to get access to banking services in Bangladesh. Being a&#13;
financial intermediary, bank accepts deposits and grants loans by offering a list of&#13;
services. Therefore, every person including DAP with certain criteria is supposed to&#13;
have access to banking services. However, some related issues including existing&#13;
banking policy, banking views towards them, mind-set and attitude of the bank staff&#13;
etc. challenged such accessibility issue. &#13;
According to a recently published newspaper report, a total 23,65,000 DAP were&#13;
registered so far in Bangladesh under the government system (The Daily Prothom&#13;
Alo; June11, 2022). Understandably, DAP have less contribution into financial&#13;
development because of their limitation in capabilities. To enhance their financial&#13;
capabilities, easy accessibility should have to be ensured to the regular banking&#13;
services.  &#13;
This study adopted a mixed-method approach. First, on the quantitative part, a survey&#13;
covered 400 bank employees by using a semi-structured questionnaire. Next the&#13;
qualitative data were collected through conducting 10 KIIs with the bank executives,&#13;
executives of government institutions and NGOs as well as; 4 FGDs with the DAP.&#13;
Secondary documents have also been reviewed for triangulating the data and to find&#13;
out the challenges that the DAP are facing with regard to get access to banking&#13;
services. This study has also conducted a policy review to get the idea about disabledfriendly&#13;
banking&#13;
service&#13;
policy.&#13;
&#13;
&#13;
Quantitative analysis was made using SPSS and Microsoft Excel considering&#13;
descriptive analysis. Qualitative analysis was made by using content analysis.&#13;
Experiences of the respondents were noted down, recorded, and categorized according&#13;
to the similarities of the statements.  &#13;
The findings were drawn considering existing banking policy for DAP, comparison of&#13;
the facilities provided by the banks to the DAP and to the persons without disabilities&#13;
as customer. It has been clearly observed that the banking services have been&#13;
designed grounded on the idea of “customer without disability”. Since the DAP&#13;
required special attention and services based on their individual needs, they are generally left behind of the usual bank services. The infrastructure like help desk,&#13;
forms and documents, entrance, washroom facilities etc. inside the bank are also not&#13;
friendly to the DAP to get easy access to the bank services. Besides, mindset and&#13;
attitude of a good number of bank employees were found not positive to the DAP.&#13;
Although, there have no specified policy for them, there have some circular issued by&#13;
the BRPD of BB for DAP to get services in the banks. In reality, however, a little&#13;
execution was identified. &#13;
Some recommendations, thus, were drawn to help the bank authority and regulatory&#13;
authority to consider to improve the banking services for the DAP in line with&#13;
National Constitution, Disability Rights and Protection Act 2013 and the agenda&#13;
(Leave No One Behind) of SDGs 2030 on December 11,2016. The following&#13;
recommendations were made:  &#13;
  Proper documentation process is needed to maintain to record the exact&#13;
proportion of DAP. &#13;
 Training should be provided to the bank employees so that they can&#13;
communicate and serve DAP well. &#13;
 User friendly forms and customized banking software are to be provided so&#13;
that DAP can use those comfortably.  &#13;
 Establishing one-stop support desk, infrastructural adjustment, agent&#13;
banking facilities and training facilities for DAP are also recommended.  &#13;
 A strong banking policy on flexible bank operation is recommended to&#13;
formulate for DAP along with proper monitoring system. &#13;
&#13;
The research would be useful and eye opening as its findings and recommendations &#13;
could be used by the respective banks, regulatory authority and the government to&#13;
ensure and facilitate banking services to all people including DAP of the country as&#13;
part of „Participative Economic Development‟ through „upholding human rights‟.
A thesis submitted to the department of Banking and Insurance of University of Dhaka in partial fulfillment of the requirements for the degree of M.Phil. in Banking and Insurance.
</description>
<dc:date>2024-02-04T00:00:00Z</dc:date>
</item>
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