Published:  08:42 AM, 24 September 2025

Societal Banking: Digital Leverage for Micro Savings, Micro Investment and Financial Inclusion

Societal Banking: Digital Leverage for Micro Savings, Micro Investment and Financial Inclusion



The narrative of financial inclusion in Bangladesh has, for decades, been dominated by the paradigm of microcredit. Pioneered by institutions like the BARD, BRAC, Grameen Bank, microcredit rightly focused on providing capital to the "unbankable," catalyzing entrepreneurship among the poorest, particularly women. However, over time, the limitations of a singular focus on debt have become starkly apparent. The model often leads to over-indebtedness, can prioritize consumption smoothing over productive investment, and may inadvertently trap households in cycles of debt repayment without facilitating genuine asset accumulation or resilience against shocks.

Concurrently, a more profound and systemic issue persists: the exclusion of vast segments of the population from the formal savings and investment ecosystem. Low-income households are not simply lacking credit; they are structurally excluded from secure, convenient, and rewarding mechanisms to save their money and to channel those savings into local, productive investments. This forces them into the informal sector—relying on savings groups (like SAMITY in Bangladesh), money guards, or simply storing cash at home. These methods are fraught with risk: theft, loss, inflation erosion, and a lack of yield. Most critically, these fragmented pools of capital remain disconnected from the formal economy. They cannot be aggregated, leveraged, or strategically directed to fund the small and medium enterprises (SMEs) and agricultural ventures that form the backbone of local economies.

This failure of financial systems creates a self-reinforcing cycle of underdevelopment. The lack of formal savings mechanisms stifles capital accumulation. The absence of localized investment channels means that what little capital exists often leaks out of the community, funding consumption of non-essential imports rather than local production. This leads to negative economic externalities: persistent poverty, low local multiplier effects, youth unemployment, and a dependency on external aid or remittances. Furthermore, the existing formal systems are often perceived as—and often are—prone to corruption, bureaucratic inertia, and moral hazard, where loan officers or officials may prioritize personal gain over communal benefit.
This research paper argues for a necessary evolution: a shift from microcredit-led inclusion to a holistic societal banking model. We define societal banking as a digitally-enabled, community-embedded financial ecosystem designed to formalize micro-savings and seamlessly channel them into transparent, vetted micro-investments within the same community or region. It moves beyond providing financial products to the poor to building a financial system with and for them, leveraging digital technology to mitigate traditional risks of corruption and inefficiency.

The central research question is: Can a digitally-enabled, community-embedded banking model effectively transmute micro-savings into sustainable micro-investment while mitigating pervasive risks such as moral hazard and corruption?

The concept of societal banking is not conceived in a vacuum. It is an evolution of several strands of economic and financial thought, most notably building upon the author's previous work on Community Banking.

  The critique of microcredit is well-documented. Bateman argues that in many contexts, microcredit has crowded out more sustainable developmental strategies and failed to generate significant productive investment. Karlan and Zinman highlight issues of high interest rates and over-indebtedness. In response, the focus has shifted towards a more holistic view of financial health, which includes not just credit, but also savings, insurance, and payments. The work of Collins et al. in "Portfolios of the Poor" was seminal, demonstrating that the poor are active, sophisticated financial managers who juggle a complex array of informal tools to manage their meager and unpredictable cash flows. Societal banking seeks to formalize and optimize this innate desire to save and invest.

Research has consistently shown that access to secure savings facilities can have transformative effects. Dupas and Robinson found that providing safe savings accounts to Kenyan market vendors led to increased investment in business inventory and higher personal expenditures. Savings provide a buffer against shocks, facilitate lump-sum purchases for productive assets, and empower individuals with a greater sense of autonomy and planning capability than debt alone. Yet, the barriers to saving formally—distance, cost, complex paperwork, and minimum balance requirements—remain prohibitively high for millions.

Social Capital and Community-Based Finance was working of Putnam on social capital underscores the value of networks, trust, and reciprocity in fostering economic development. Informal savings groups are a prime example of social capital in action. They work because they are built on pre-existing social ties and peer monitoring, which reduces default risk. Societal banking aims to intentionally harness this social capital, not replace it. By embedding digital financial products within these trusted community networks, the model reduces information asymmetry and builds on a foundation of existing trust. Digital Financial Inclusion is advent of mobile money that has been a game-changer, demonstrating that technology can drastically reduce the cost and friction of financial transactions. However, many digital finance offerings remain limited to payments and transfers. The next frontier is leveraging this digital infrastructure for more complex products like savings, investment, and insurance. Aker et al. discuss how digital technology can improve market functioning and resource allocation.

Ali, 2016-17 study is grounded in the author's earlier theoretical work, which proposed a community banking model as a nexus between formal banking structures and informal community networks. The current societal banking model expands this theory by explicitly integrating digital technology as the central nervous system that enables scalability, transparency, and security, directly addressing the limitations of earlier, more analog community banking proposals. It frames the problem through the lens of economic externalities: positing that financial exclusion generates negative externalities (poverty, import dependency) while financial inclusion through societal banking can generate positive externalities (local investment, job creation, resilience).

 To empirically validate the proposed societal banking model, a mixed-methods approach was employed, combining quantitative and qualitative techniques to ensure both breadth and depth of understanding.

The research was conducted in selected rural communities in the Cumilla district and urban slum areas in Dhaka, Bangladesh, between June 1 and August 31, 2025. Bangladesh provides a fertile ground for this research due to its history with microfinance, high mobile phone penetration, and a significant population still excluded from formal financial systems.

A structured survey was administered to 2,401 respondents, selected through a stratified random sampling technique to ensure representation across gender, age, occupation (e.g., farmers, small traders, garment workers, homemakers), and location (rural/urban).

· Survey Modules: The survey covered: (1) Demographics and socio-economic status; (2) Current financial behaviors (savings habits, tools used, amounts saved); (3) Access to and usage of mobile phones and financial services; (4) Experiences with credit (formal and informal); (5) Perception of local investment opportunities and barriers; (6) Trust levels in formal financial institutions and community networks; (7) Willingness to use a proposed digital platform for savings and investment.

To complement the survey, 12 in-depth case studies were conducted. This included:

· Focus Group Discussions (FGDs): 8 FGDs were held with existing informal savings groups to understand their internal dynamics, rules, challenges, and aspirations.

· Key Informant Interviews (KIIs): Interviews were conducted with local community leaders, managers of Microfinance Institutions (MFIs), mobile money agents, postal bank officials, and representatives from Bangladesh Bank (the central bank).

· Ethnographic Observation: Researchers spent time observing transactions at mobile money agent points and informal group meetings to understand user behaviors and pain points.

  Data Analysis: Quantitative data was analyzed using statistical software (SPSS/Stata) to run descriptive statistics, cross-tabulations, and regression models to identify key correlations and predictors of financial behavior. Qualitative data from FGDs and KIIs was transcribed, coded, and analyzed thematically to identify recurring patterns, insights, and narratives that explain the quantitative trends.The proposed societal banking model is architected upon four interdependent pillars, each enabled by digital technology.

Digital Inclusion is the foundational infrastructure pillar. The model leverages the near-ubiquity of basic mobile phones to overcome the physical and cost barriers of brick-and-mortar banks.

* A USSD- or SIM-toolkit-based menu system, accessible on any mobile phone, serves as the primary interface. For smartphone users, a lightweight Android app can offer enhanced functionality. This platform is not just for transactions; it is the user's gateway to their entire financial footprint.

* It enables users to:

*    Deposit and withdraw funds through a dense network of trusted, biometric-verified agents.

*   View their savings balance and transaction history in real-time.

*   Receive targeted information on vetted investment opportunities.

*   Access their credit score and eligibility.

 Moves beyond generic savings accounts to design products that are transparent, accessible, and intrinsically linked to investment outcomes.

* Micro-Savings   are no-frills, no-minimum-balance savings wallets. Crucially, they can be structured to include:

*   Allowing users to set personal goals (e.g., "save for a rickshaw in 6 months") and lock funds away until the date, earning a slightly higher yield.
*    Allowing for small, automatic deductions from a primary wallet to a savings wallet after each deposit.

* This is the innovative core. The platform aggregates savings and connects them to a curated "marketplace" of local investment opportunities. These could include:

*    A local poultry farm needing to expand could issue small-denomination, short-term bonds on the platform, vetted by a community advisory board.

*    Funding for a shared irrigation pump or a community cold storage facility could be raised through the platform, with returns coming from user fees.

*    Micro Savings can be pooled into a fund managed by a local NGO or community trust, which then provides equity-like financing to vetted local entrepreneurs.

While the model emphasizes savings-led growth, credit remains a necessary tool. This pillar ensures it is provided fairly and sustainably.

* Instead of relying solely on collateral, creditworthiness is assessed using alternative data: savings history (the most powerful predictor), regularity of transactions, mobile airtime top-up patterns, and peer references from within their digital community network.

* Interest rates for loans are dynamically priced based on the user's financial history on the platform, rewarding consistent savers with lower rates. This creates a powerful incentive for saving and formalization.

This is the governance and anti-corruption pillar. It is designed to minimize discretionary human intervention, which is a primary source of corruption and moral hazard.

* Loan disbursements, investment payouts, and agent commissions are automated based on pre-defined, transparent rules encoded in simple smart contracts. For example, once an entrepreneur's project meets pre-agreed milestones verified by a community validator, the next tranche of funding is released automatically without needing a loan officer's approval.

 While not necessarily a full-fledged blockchain, a permissioned DLT can be used to create an immutable, auditable record of all transactions. This ledger can be made partially visible to regulators, community auditors, and users themselves (for their own transactions), creating an unprecedented level of transparency and making fraudulent alterations nearly impossible.

* The platform includes a feature for users to rate agents and report discrepancies, which is directly linked to the agent's performance metrics and compensation.

The field research yielded data supporting both the need for and potential viability of the societal banking model.

89% of respondents reported saving money regularly. However, 72% of these savers used exclusively informal methods: 45% used hidden cash at home, 31% relied on informal savings groups (samity), and 6% used money guards. The primary reasons cited were "no bank nearby" (61%), "fear of complex paperwork" (55%), and "fees and minimum balances are too high" (49%).

68% of respondents expressed a strong interest in investing in local businesses or farms if a safe, transparent, and low-cost mechanism existed. Qualitative data revealed a deep frustration with seeing local enterprises fail due to a lack of capital while community savings remained inert or were spent on consumer goods from outside the community.

 Mobile phone ownership was nearly universal (98% of households), and 76% of respondents had used mobile money for receiving remittances or paying bills. However, trust was a significant issue. While trust in large commercial banks was moderate, trust in local agents and community leaders was very high. This indicates that a platform leveraging local networks (Pillar 1) would have a higher chance of adoption than one perceived as a distant, corporate product.

 A striking 83% of respondents who had interacted with formal MFIs or banks reported concerns about favoritism, opaque fees, or potential demands for bribes by field officers. KIIs with MFI managers confirmed that monitoring field staff for moral hazard was a significant operational cost. This finding strongly validates the need for Pillar 4 (Algorithmic Transparency).

A pilot simulation of the model was presented in FGDs. The response was overwhelmingly positive. Participants were particularly attracted to the idea of seeing their savings grow and having a direct say in funding known local businesses. The concept of automated, rule-based systems was welcomed as a "fair judge" that would eliminate the perceived subjectivity and corruption of human intermediaries.

The article identifies that the success of societal banking is contingent upon three critical enablers operating in synergy.

  The Bangladesh bank must play a proactive role. This involves:

* Allowing for the live testing of these innovative products under a relaxed regulatory framework.

* Implementing tiered KYC (Know Your Customer) rules so that low-balance accounts can be opened with minimal documentation, leveraging digital biometric IDs.

* Developing clear regulations that allow for the aggregation of small savings for local investment without imposing onerous requirements that only large corporations can meet.

  The technological platform cannot exist in isolation. It must be:

* It must connect seamlessly with the national payment switch, allowing users to send and receive money from any bank or mobie wallet. This prevents the model from creating just another financial silo.

* Implementing robust cybersecurity and data privacy measures is non-negotiable to gain and maintain user trust.

* It should have open APIs (Application Programming Interfaces) that allow other financial service providers (e.g., insurance companies) to plug into the ecosystem and offer their products.

No single entity can deliver this model alone. It requires a consortium approach:

·   Bangladesh bank can provide regulation; postal networks provide last-mile physical infrastructure and trust.
   Fintech companies provide the technology platform; commercial banks provide liquidity management and custodial services.

·   NGOs and community-based organizations provide grassroots mobilization, financial literacy training, and serve as community validators for vetting investment opportunities.

This collaborative ecosystem distributes risk, shares expertise, and leverages the unique strengths of each actor.This research has articulated the theoretical and empirical case for societal banking as a necessary evolution in the quest for meaningful financial inclusion. The findings from Bangladesh demonstrate a clear gap in the market for a savings-led, investment-focused, and digitally-transparent financial ecosystem. The proposed model, built on four pillars of digital inclusion, ethical products, equitable credit, and algorithmic transparency, offers a blueprint to convert the vast, dormant capital within low-income communities into an engine for local, sustainable development.

The implications are significant. For policymakers, it is a call to move beyond a narrow focus on credit disbursement targets and to foster regulations that enable savings mobilization and local investment. For the development community, it suggests a shift in strategy from direct implementation to facilitating multi-stakeholder partnerships. For the private sector, it reveals a vast, untapped market for financial products that align profit with purpose.

By formally capturing micro-savings and digitally channeling them into productive micro-investments, societal banking has the potential to break the cycle of negative externalities—poverty, unemployment, import dependency—and generate a virtuous cycle of positive externalities: local job creation, entrepreneurial growth, economic resilience, and a robust, corruption-resistant financial system that truly serves the entire society.


Professor Dr. Muhammad
Mahboob Ali teaches Economics
at Bangladesh University of Business
and Technology (BUBT), Dhaka



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