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American Journal of  Financial 
Technology and Innovation (AJFTI)

The Intersection of  Regulation, Innovation, and FinTech in Accelerating Green Finance: 
Insights from Bangladesh

S. Ahmed1*, M. E. Islam1, M. Shahin Sarwar2 

Volume 3 Issue 1, Year 2025
ISSN: 2996-0975 (Online)

DOI: https://doi.org/10.54536/ajfti.v3i1.5791
https://journals.e-palli.com/home/index.php/ajfti

Article Information ABSTRACT

Received: July 25, 2025

Accepted: August 28, 2025

Published: November 06, 2025

The paper addresses the current situation and discusses the trends of  innovation, challenges 
and opportunities of  green finance in Bangladesh, including FinTech, regulation, product 
development and customers’ awareness. Bangladesh is highly vulnerable to climate change 
and requires a robust green finance plan to ensure that it grows in a sustainable way without 
dependent heavy reliance on carbon intensive and polluting resources. The study adopted 
a mixed methods design that consisted of  a questionnaire survey of  250 respondents, semi 
structured interviews with practitioners and a review of  secondary data to explore green 
finance and its challenges. Despite having policies, green finance is not taking off, there is a 
lack of  clarity; products are scarce, awareness low and FinTech solutions are not as advanced 
as they could be. A multiple linear regression (MLR) found that cost rhetoric (such as regula-
tory and fiscal incentives) have a significant positive relationship with green finance adoption 
whereas FinTech and market preparedness have no significant relationship. The main idea of  
thematic analysis was lack of  skills and lack of  knowledge about customers. The regression 
model was found to be significantly significant (F = 2.497, p = 0.023), which implies that 
regulation and finance have an influence on adoption. As a result, the paper recommends to 
use coordinated reforms to promote a green transformation in Bangladesh targeting explicit 
regulation, increased products, awareness creation and facilities. All these changes will be a 
means to connect the financial system to the Global Sustainable Development Goals and 
pave the way to inclusive green growth.

Keywords
Environmental Sustainability, 
FinTech, Green Finance, 
Regulatory Barriers, Sustainable 
Banking

1 Finance Department, Bangladesh University of  Professionals, Dhaka, Bangladesh
2 Business Administration in Finance and Banking, Bangladesh University of  Professionals, Dhaka, Bangladesh
* Corresponding author’s e-mail: shakil.bup33@gmail.com

INTRODUCTION
Anthropogenic degradation and climate change of  the 
Earth are among the big concerns of  modern time. 
More frequent and severe natural disasters, accelerating 
sea-level rise, loss of  habitat, species extinction and 
the exhaustion of  natural resources act as an alarm call 
for sustainable development and financing provision 
at all levels in the economy. Finances and Models: As 
countries move towards aligning with global accord 
such as the Paris Agreement and broader sustainable 
development goals, they seek financial systems that 
will enable such alignment. Institutions are increasingly 
required to align their business with climate-resilient and 
low-carbon development. Green finance-specifically, 
financial products that are responsive to environmental 
performance-has proven to be a powerful enabler to 
mobilize public and private capital for renewable energy, 
green infrastructure, adaptation to climate impacts and 
other environmentally positive investments (World Bank 
2021; IFC 2020).
In Bangladesh, there is a high degree of  urgency 
in reliance on green finance. The country is highly 
vulnerable to the effects of  global climate change in 
terms of  environmental and socio-economic risks due to 
its location in a low lying delta prone to rise in sea levels, 
increase and severity of  cyclones, floods, erratic rainfall 
and variability of  temperature. Such susceptibilities are 
compounded with urban centres of  high population 
density and poverty levels which hamper adaptation 

capacities. In turn, establishing resilience to climate 
change and sustainable infrastructure holds essential 
valuable information towards abating the ecological and 
socio economic risks in the long term (Bangladesh Bank, 
2023; Bangladesh Institute of  Development Studies 
(BIDS), 2020).
Keeping the pace with these things, Government of  
Bangladesh and the central bank have taken an array 
of  policy actions with the vision that a green finance 
ecosystem should be created as a primary objective. The 
Green Banking Guidelines (2011) was one of  the earliest 
efforts to place the banking activities on environmentally 
sustainable paths by requiring that the green risk is 
accounted as part of  the loan terms and financial incentives 
is offered for green investment projects. Bangladesh’s 
2020 Sustainable Finance Policy (SFP) in turn introduced 
a better founded framework for the development of  new 
green products and the flow of  capital into climate and 
environment friendly sectors (Bangladesh Bank 2023; 
Bangladesh Institute of  Development Studies (BIDS) 
2020). But the current maturity level of  the Bangladesh 
green finance market is in its early stage and there are 
huge challenges involved. 
The space for innovation in the product ecosystem 
is limited, with green bonds, carbon credits and 
sustainability linked loans only recently gaining 
traction in the international marketplace and remaining 
underdeveloped on the domestic front. Eventually, 
the challenge minimizes the vertical perimeter of  the 



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territory for the sustainable progress of  national agendas 
(Rahman, Ahmed & Chowdhury, 2022).
Financial technologies (FinTech) and more broadly 
technological innovation could be the answer to 
overcoming these limitations and accelerating green 
finance. Blockchain, artificial intelligence (AI), and digital 
platforms are among the potential tools through which 
transparency, costs, and access of  green services could be 
improved. For example, blockchain can create immutable 
records of  green investments or allow trading of  carbon 
credits; and AI can help in the computation of  the 
environmental risk assessment and portfolio optimization 
to sustainability. However, the application of  such new 
technologies is not widespread in Bangladesh and is 
mostly limited by the lack of  infrastructure, uncertainty in 
regulation and institutional weakness (Khan & Hossain, 
2019; Miah et al., 2019).
Taken together, these dimensions show the gap between 
well intentioned policies and concrete market results 
in Bangladesh’s green finance sector. Regulations and 
guidance have been implemented but there is little 
evidence of  the measurable environmental impact. 
Most of  the new products cannot be widely accepted 
by people, and the reduction of  carbon emissions or 
increase in the use of  renewable energy has low recorded 
data (Rahman et al., 2022). This gap is, again, reason why 
a comprehensive and systematic overview of  the state of  
green finance is needed with particular emphasis on best 
practices, remaining gaps and the opportunity of  further 
development. 
With the present study, the gap in evidence is desired 
to be filled and to make a further evaluation of  the 
current state of  affairs, concerns and opportunities of  
green financial innovation in Bangladesh. It finds how 
institutional finance is developing and offering products 
including green bonds, carbon credits, sustainability-
linked loans, and the impact these products have been 
having on the ambition for making the changes to 
sustainable economies by reducing carbon emissions and 
embracing renewable technology. 
Owing to this reality, Bangladesh’s challenge is to 
simultaneously ensure the management of  climate risks 
whilst maintaining sustainable economic growth. Green 
finance will play a role in getting finance to projects that 
provide environmental protection. But this may be done 
within risk-taking, be it developing new products, making 
it easy for our customers and adopting new technology. 
The present paper is to explain those difficulties. It 
sheds light on the nature of  green financial products, the 
measure of  their environmental impact, how they can 
be assisted by FinTech and how customers engage with 
them. All the above are necessary to develop an effective 
green finance system for Bangladesh.

Objectives of  the Study
1. To identify the new green financial products offered 

by Bangladeshi banks in areas such as green bonds, 
carbon credits and sustainability linked loans

2. Further, their contribution to sustainability targets 
(i.e. carbon emissions and renewable energy) can be 
measured to evaluate the impact of  the green financial 
products.

3. Aiming to explore the possible contribution of  new 
FinTech to the bold adoption of  green financial products 
on the part of  both lenders and consumers.

LITERATURE REVIEW
Begum et al. (2021) fit the green banking ecosystem in 
Bangladesh within a framework of  incipiency where 
there is little product innovation and little awareness 
among the general population about environmentally 
sustainable financial products. According to their 
survey, most financial institutions have not been able to 
progress beyond regulatory compliance and the trend is 
of  superficial commitment to green financing as green 
bonds and sustainability-linked loans are adopting slowly.
As noted by Rahman et al. (2022), although the regulation 
system is one of  the foundations of  green finance 
in Bangladesh, little empirical evidence is capable 
of  illustrating that green bonds, carbon credits, or 
sustainability-linked loans promote sustainable investment 
or increase customer awareness. They observe that these 
devices are not well appreciated and that it has not yet 
produced significant contributions to the environmental 
goals.
Khan and Hossain (2019) scrutinize the opportunities 
of  the digital innovation in green-finance sector in 
Bangladesh and hypothesize that blockchain and artificial 
intelligence will increase transparency and accessibility. 
However, green finance has low rates of  adoption and 
integration of  the FinTech solutions because of  the 
infrastructural and regulatory limitations.
Ahmad et al. (2013) analyzed the motivations of  
Bangladeshi commercial banks in taking green banking. 
Their research indicated that awareness and trust of  
customers are of  extreme importance. Government 
regulations also enable banks to act in a sustainable 
manner. However, there are numerous challenges that 
green banking has to face, such as lack of  new green 
banking instruments and weak customer relations. This 
issue is consistent with past research in that stronger 
policy and improved education is desired for green 
finance in Bangladesh (Ahmad et al., 2013). 
Rahman et al. (2021) made a comparison of  green banking 
programs of  Kerala, India, which provides a valuable 
reference for Bangladesh. The literature proves that the 
customers must have the awareness about green finance, 
and that satisfied, loyal customers help. It signified the 
crucial position of  banks towards controlling knowledge 
dissemination and awareness of  eco-friendly banking, 
which mirrors the opinions of  Bangladesh in general 
(Rahman et al., 2021). 
Miah et al. (2019) points out that digital technology has 
emerged rapidly in finance but there has been little use 
of  it in green finance in Bangladesh. In green banking, 
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more money and institutional changes in order to make a 
difference in the delivery.
According to the Sustainable Finance Forum (2021), 
green financial products remain unused and inadequately 
developed, and the reason is their weak understanding 
of  clients, mostly due to the lack of  customer education 
and institutional reach. The results of  their work indicate 
that higher level of  participation should be graced with 
financial institutions taking a more proactive stance 
in terms of  educating clients on the benefits of  the 
concept of  green products with the aim of  facilitating 
participation by more clients.
Bangladesh Bank (2023) documents its significant 
actions in the field of  policy, among which there are the 
Green Banking Guidelines (2011) and the Sustainable 
Finance Policy (2020), where the environment plays an 
essential role in the regulations. Nevertheless, there are 
also limitations related with low product diversification, 
insufficiently trained employees at the bank, and the need 
to develop an effective outreach to the people recognized 
in official documents.
Policy applications and market holes are analysed in 
Bangladesh Institute of  Development Studies (BIDS, 
2020) with a conclusion that the ongoing and highly 
effective structure implemented by governmental 
and regulatory organisations is often sluggish in its 
implementation as the sector is not yet ready and looks 
upon the lack of  collaboration between the private and 
governmental organisations.
Green finance is the subject of  attention by IFC (2020) 
and the World Bank (2021) as the source of  financing that 
can help in aligning the growth of  emerging economies, 
including Bangladesh, with the goals of  a sustainable 
economy. The two organisations promote continued 
innovation and investment in order to make use of  the 
cash available in the private sphere and gain substantial 
advantages of  climate adaptation.
Collectively, the studies show that although the policy thus 
far is improving, not to mention the established capability 
to acknowledge the value of  innovation in furthering 
green finance, major loopholes continues to exist in 
terms of  product development, client engagement, and 
technological incorporation.

Research Gaps and Synthesis
As a whole, the corpus of  the reviewed literature 
forms an all-encompassing background of  knowledge 
regarding the global and Bangladesh-related concerns 
and possibilities related to the topic of  green finance. 
Still, some important gaps appear. Not much empirical 
research has been done on the efficacy of  policy tools 
and the effect of  novel green products on the investment 
behaviour and sustainability outcomes.
There is not much knowledge regarding how customers 
perceive and how aware they are when deciding to use 
a product. Additionally, there is a pervasive need for 
developing a better understanding of  the role of  FinTech 
and emerging technology to developing green finance. 

Most of  the studies emphasize the supply side, not 
enough on the demand side or customers’ behavior. Little 
is known about the financial or regulatory incentives to 
transact green financial products, and this is particularly 
true when it comes to green products for people in 
Bangladesh. Because of  such rapid change in the rules and 
the technology, there is a critical need for deep descriptive 
goal-independent research led by comparison between 
sectors that can guide effective policy and practice.

MATERIALS AND METHODS
This thesis is using a convergent parallel mixed methods 
research design to produce a holistic and comprehensive 
examination of  green finance innovation in Bangladesh 
and the role it plays on advancement of  customer 
awareness and sustainable investment choices. By 
using both quantitative and qualitative methods, the 
methodology allows triangulation between different 
point of  views.
The primary focus is on formal financial institutions 
in Bangladesh, recognized as the main channels for 
green finance products and policy implementation. The 
quantitative survey involved 250 respondents, selected 
using random sampling to ensure representation across 
age, gender, occupation, and education groups. 
For qualitative insights, semi-structured interviews were 
conducted with key informants, including green finance 
professionals and officers working in banks, regulatory 
authorities such as Bangladesh Bank, and relevant 
development partners or policy think tanks involved in 
fostering sustainable finance. 

Data Collection
The main quantitative instrument for data collection will 
be a structured questionnaire focusing on bankers and 
financial professionals all over Bangladesh. This section 
measured the key research variables using Likert-scale 
statements (1 = Strongly Disagree to 5 = Strongly Agree). 

The distribution of  items was as follows
1. Section 1 (Demographic information) – 4 items
2. Section 2 (Questions on dependent variable) –1 

items
3. Section 3 (Questions on independent variable)- 5 

items
4. Section 4: (Adoption and Challenges of  Green 

Finance)- 6 items
5. Section 5: (Policy Recommendations)- 1 item

In addition to data collection on a quantitative level, 
in-depth semi-structured interviews will be conducted 
with a selected sample of  experts in the green finance 
industry, in order to capture a rich qualitative data. This 
will include the senior bankers, practitioners in green 
finance, and the appropriate policy makers. The interview 
protocol should be semi-structured, at a minimum, so 
that probing as well as follow-up assessment questions 
can be asked based on responses received across areas 
of  interest in the interview. Experiences in implementing 



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green finance, barriers and opportunities, regulatory and 
market challenges, the role of  FinTech and suggestions 
on how to move the sector forward will be discussed. 
Interviews will be audio-recorded (with permission), 
transcribed and analysed thematically to identify common 
and unique themes.
The study will draw its theoretical background from an 
extensive review of  scientific articles in peer-reviewed 
academic journals and scholarly books. In addition, it will 
analyze relevant official reports and policy documents 
from government and regulatory bodies such as 
Bangladesh Bank, BIDS, and pertinent ministries, as well 
as national and international guidelines. Furthermore, 
technical reports and papers published by organizations 
like the World Bank, IFC, ADB, GCF, and other 
national and international institutions will be examined 
to understand and position Bangladesh’s green finance 
practices within an international context.

Data Analysis
Multiple Linear Regression (MLR) will be used to 
analyze the relationship between several variables (IVs) 
and a dependent variable (DV) related to green finance 
adoption. The regression model will help identify the 
factors that significantly influence the adoption of  green 
finance products in Bangladesh.

a) Dependent Variable (DV):
 i. Adoption of  Green Finance Products
b) Independent Variables (IVs)
 i. Readiness of  the market for Green Finance
 ii. Regulatory barriers limiting Green Finance 

adoption
 iii. FinTech’s role in Green Finance adoption
 iv. Financial incentives for adopting Green Finance
 v. Limited availability of  Green Finance products
 vi. High cost and financial constraints

The Multiple Linear Regression (MLR) model will be 
constructed as follows:
Y = β₀ + β₁(awareness) + β₂(perceived benefits) 
+ β₃(regulatory barriers) + β₄(market readiness) + 
β₅(fintech role) + ε
Where,
Y represents the adoption of  green finance products (this 
is the dependent variable or DV).
β₀ is the intercept, which is the value of  Y when all 
independent variables are equal to zero.
β₁, β₂, ..., β₅ are the coefficients that represent the 
relationship between the independent variables 
(awareness, perceived benefits, regulatory barriers, market 
readiness, and the role of  FinTech) and the dependent 
variable (adoption of  green finance products). These 
coefficients indicate how much the dependent variable 
(Y) is expected to change when the corresponding 
independent variable changes by one unit.

In this research Multiple Linear Regression (ML) was 
used to know the relationship between independent 
variables and the dependent variable. For instance, 
does awareness of  green finance dominate over market 
readiness for adoption, or perceived benefits Based on 
the relationship, the regression model will enumerate the 
independent variables against the dependent variable and 
we will know which factors contribute to increased or 
decreased adoption of  green finance and how much each 
factor is responsible for it.

RESULTS AND DISCUSSION
The results are organized according to the mixed 
methods approach outlined in the methodology, 
beginning with quantitative survey analysis, followed 
by qualitative insights from semi-structured interviews, 
thematic synthesis, integration with existing literature, 
and concluding with implications for policy and practice.

Frequency Responses
The majority of  respondents (79.6%) are aged 26–35 
years, with smaller proportions in the 36–45 years 
(12.4%) and 18–25 years (7.6%) groups, and minimal 
representation above 45 years. Gender distribution is 
notably imbalanced, with 85.2% male and 14.8% female 
participants, indicating potential sampling bias or a male-
dominated target group. Regarding education, most 
respondents are highly qualified: 58% hold a Master’s 
degree, 26.4% a Bachelor’s degree, while smaller shares 
have HSC (9.2%), SSC (5.2%), and PhD/MPhil (1.2%) 
qualifications. Occupationally, investors or potential 
investors form the largest group (58.8%), followed by 
bankers (14%), business owners (11.2%), researchers 
(7.6%), policymakers (5.6%), and green finance experts 
(2.8%), providing a diverse professional mix relevant to 
green finance adoption. 

Figure 1: Pie chart showing Age distribution



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Am. J. Financ. Technol. Innov. 3(1) 188-195, 2025

Figure 2: Pie chart showing Gender distribution

Figure 3: Pie chart showing educational qualification  
distribution 

Figure 4: Pie chart showing occupation of the 
Respondent

Table 1: showing the descriptive statistics of the variables.
Variable Mean Standard Deviation N
Adoption of Green Finance products in the future 3.64 1.157 250
Readiness of the market for Green Finance 3.23 1.079 250
Regulatory barriers limiting Green Finance adoption 3.14 0.904 250
FinTech's role in Green Finance adoption 3.64 0.705 250
Financial incentives for adopting Green Finance 3.27 1.385 250
Limited availability of  Green Finance products 2.68 1.330 250
High cost and financial constraints 3.14 1.451 250

Descriptive and Inferential Statistics
The following table summarizes the descriptive statistics 
for the key variables:
The average perception of  respondents to factors like 
Green Finance product adoption, market readiness, and 
FinTech roles, etc., is captured in the mean values. For 
instance, both “Adoption of  Green Finance products in the 
future” and “FinTech’s role in Green Finance adoption” 
mean are moderately positive with high means (3.64) 
whereas “limited availability of  Green Finance products” 
have a mean of  2.68 is comparatively more negative. These 
standard deviations demonstrate the extent of  variability 
associated in responses, a higher standard deviation 
indicating more differing responses. In summary, the 

data shines a light on a dualism of  optimism for future 
adoption with FinTech’s role in the market alongside 
concerns around market maturity & response, regulations, 
and the lack of  supply of  Green Finance products.

Correlation Analysis
The correlation analysis explores the relationships 
between the adoption of  Green Finance products and 
other variables. Key correlations include:

Table 2: Showing correlation analysis among the variables

Variable
Adoption 
of  Green 
Finance

Market 
Readiness

Regulatory 
Barriers

FinTech’s 
Role

Financial 
Incentives

Limited 
Availability 
of  Products

Adoption of  Green  Finance 1.000 0.040 0.127 0.051 0.106 0.103
Market Readiness 0.040 1.000 0.087 0.167 0.149 0.127
Regulatory Barriers 0.127 0.087 1.000 0.191 -0.164 0.160
FinTech’s Role 0.051 0.167 0.191 1.000 0.082 -0.164
Financial Incentives 0.106 0.149 -0.164 0.082 1.000 0.097



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Table 3: MLR model Summary
Model R R² Adjusted R² Standard Error of  Estimate
1 0.241 0.058 0.035 1.137

The correlations show weak to moderate relationships 
among most of  the variables, with the highest 
correlation being between High Cost and Financial 
Constraints and Limited Availability of  Green Finance 
Products (0.466), to summarise - although there is some 
relationship between the data, there is not a strong linear 
dependency in most of  them. High Cost and Financial 
Constraints are negatively correlated with other variables 

(Adoption of  Green Finance and Market Readiness) 
which suggests that financial constraints will not only 
be difficult for the adoption but may also hinder market 
development.

Multiple Linear Regression Model Summary
The regression analysis was conducted with the following 
model summary: 

ANOVA
The ANOVA results indicate the overall significance of  

the model:
The F-statistic and p-value were 2.497 and 0.023 (p < 0.05), 

Limited Availability of  
Green Finance Products

0.103 0.127 0.160 -0.164 0.097 1.000

High Cost and Financial 
Constraints

-0.114 -0.218 -0.164 -0.005 0.097 0.466

Table 4: ANOVA
Model Sum of  Squares df Mean Square F Sig.
Regression 19.360 6 3.227 2.497 0.023**
Residual 313.956 243 1.292
Total 333.316 249

indicating that the model is statistically significant, which 
means that there were some predictor variables which 
have a relationship with the dependent variable, Green 
Finance adoption. The R2 value was 0.058 with a small 
amount of  variance explained at 5.8%, although this is a 
good result because it shows that factors are important to 
consider in adoption even for extremely small R2 values. 
Importantly, the significance of  the key predictors in the 
model (Regulatory Barriers and Financial Incentives) 
is statistically significant which implies that in order to 

support the Green Finance, it is important to improve the 
Regulatory Barriers and provide financial incentives. In 
sum, the model reflects some of  the important dynamics 
of  Green Finance adoption and can be used as a starting 
point for further refinement of  the approach and for 
incorporating other drivers.

T-Test Results (Coefficients Table)
The coefficients for the regression model are presented 
below:

Table 5: T Test Result analysis
Predictor B Std. Error Beta t Sig.
(Constant) 2.556 0.581 4.396 0.000
Market Readiness -0.044 0.071 -0.041 -0.616 0.539
Regulatory Barriers 0.174 0.083 0.136 2.103 0.037*
FinTech's Role 0.078 0.108 0.048 0.723 0.470
Financial Incentives 0.143 0.055 0.171 2.574 0.011*
Limited Availability of  Green 
Finance Products

0.084 0.060 0.097 1.402 0.162

High Cost and Financial Constraints -0.094 0.053 -0.118 -1.757 0.080

*Regulatory barriers (B = 0.174, p = 0.037), showing that 
addressing regulatory barriers can positively affect Green 
Finance adoption.
* Financial incentives (B = 0.143, p = 0.011), suggesting 
that offering financial incentives can significantly 

encourage adoption.
Other predictors, such as Market readiness (p = 0.539), 
FinTech’s role (p = 0.470), and Limited availability of  
Green Finance products (p = 0.162), were not statistically 
significant in this mode



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Thematic content analysis
The thematic content analysis of  interviews with 
green finance professionals revealed four key themes 
outlining obstacles and opportunities for green finance 
in Bangladesh.

Regulatory Barriers
Interviewees highlighted inconsistencies in policy 
enforcement, frequent regulatory changes, and lack of  
standardized guidelines as major hurdles. A unified green 
finance taxonomy was seen as beneficial for product 
design and reporting. Regulatory uncertainty was noted to 
undermine financial institutions’ confidence to innovate 
or expand green finance offerings.

Market Readiness
Commitment in large scale is increasing but varies for 
green finance. Larger banks have better green finance 
capacity while smaller banks and non-bank institutions 
are restricted by high transaction costs, approval delays 
and assessing environmental risk; the latter has a 
disproportionate impact on smaller lenders and rural 
beneficiaries. 

Customer Awareness 
Limited awareness on the part of  individual and corporate 
customers especially SMEs and rural entrepreneurs is a 
major constraint towards adoption. In terms of  real-world 
applications, we suggested targeted awareness-raising and 
training activities to demonstrate the usefulness and the 
practical value of  green finance products.

Role of  Green Finance FinTech 
Participants recognised digital technology such as 
blockchain, data analytics and digital platforms as 
critical to lower costs, increase transparency and speed 
up green finance transactions. Despite the strong uptake 
by a number of  mainstream banks, FinTech adoption in 
general is still very limited, requiring further investment 
and a supportive regulatory framework. 
In conclusion, the analysis anticipates that addressing 
regulatory uncertainties, market-readiness measures, client 
awareness-building, and underlying digital innovation 
are critical steps to drive green finance adoption in 
Bangladesh to achieve sustainable development goals.

Integration and Triangulation of  Findings
The methodology in this paper adopts a multi-level 
approach and uses both quantitative and qualitative 
research techniques to reveal the drivers and the barriers 
and opportunities underpinning the emergence of  green 
finance in Bangladesh. Qualitative data collected from 
semi-structured interviews is instrumental in this sense as 
it reveals the background and introduces the perspectives 
of  the participants which help explain trends drawn 
from the statistical information analysis. The survey 
and interviews both illustrated that, both respondents 
and experts are of  the opinion that harmonisation and 

regulatory consistency is key for financial institutions to 
be able to test innovative solutions with confidence. There 
was widespread recognition that novel green financial 
products, such as green bonds and sustainability linked 
loans, as well as efforts to diversify the range of  products 
available, are needed to respond to the market need. 
Difficulty in building industry capacity was cited as one 
of  the most significant obstacles and examples included 
the general lack of  knowledge among clients and limited 
capabilities and familiarity among financial professionals, 
which would require specific outreach and training to 
bridge the gap. While quantitative findings showed only 
a little statistical interaction between financial technology 
ventures and green digital solutions adoption, qualitative 
data suggested such technological innovation is beginning 
to yield more efficient and cost-effective processes 
for large banks, and thus means FinTech will become 
increasingly influential.

CONCLUSION
The paper analysed the opportunities and challenges 
for green finance acceleration in climate vulnerable 
Bangladesh. Factors cited as mandating contributing are 
standardization and financial incentives, however, other 
gaps were found. Policies were not implemented that were 
tough, consistent, and enforceable. Lack of  knowledge, 
weak institutions and limited use of  FinTech further 
retarded progress. By identifying the key factors to local 
decision making, the research very clearly illustrated how 
regulation can be better tuned to banks, more rewarding, 
and more inclusive. The results underline the critical 
need for enforceable real world regulations, coupled 
with training and new digital tools to educate the public. 
Bangladesh needs to transition to a green economy by 
focusing on environmentally inimical, low emission 
practices through change in people behavior and industry. 
Future studies should also consider human behavior and 
sector-specific habits for the best optimization of  policies 
for sustainability. 

Recommendations
In this paper, we put forward measures on how green 
finance can be increased in Bangladesh. 
First, clear rules that promote new concepts in banks and 
other financial institutions. The rules must be practical 
and be an impetus for constant recalculation. 
Second, grant rewards to ecofriendly projects in the form 
of  low interest rate loans, tax breaks, and prizes to banks 
and lenders. Provide special support for small banks and 
non-traditional lenders which are issuing green bonds and 
SDG-linked loans. Educate the public and the finance 
institution with awareness programs. 
Third, Promote green finance friendly FinTech by 
providing testing grounds for innovation. At the same 
time, consider the use of  electronic tools such as 
blockchain, data analysis, and new models of  lending to 
make financial services more accessible, transparent and 
useful for non-wealthy communities. 



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5

https://journals.e-palli.com/home/index.php/ajfti

Am. J. Financ. Technol. Innov. 3(1) 188-195, 2025

Finally, enhance cross-organization co-ordination through 
a central database to monitor investments and impact on 
environment using a common process. Increase public 
private cooperation and a common global outlook to 
deliver new sustainable funds where it is most needed.

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