The Reserve Bank of India (RBI) has introduced new credit reporting guidelines aimed at improving the accuracy and timeliness of borrower information shared with credit bureaus. The Credit Information Reporting Directions, 2025, released this year, are designed to address issues in India’s credit assessment system. One of the key changes is the move to bi-monthly credit data updates. Lenders are now required to report borrower information twice a month—by the 7th and the 22nd. This reduces the lag in tracking repayments and helps curb overleveraging.
“Frequent updates reduce blind spots in credit data and ensure more informed lending,” said Shubha Bhanu, Lead, BFSI at MSC (MicroSave Consulting).
Previously, monthly reporting led to delays of up to 40 days, often leaving credit institutions with outdated borrower profiles. The revised timelines are expected to help lenders detect risks earlier and make better decisions.
Another major change is the standardisation of credit scores across all credit information companies (CICs). Scores will now follow a uniform range of 300 to 900, making it easier for both lenders and borrowers to interpret creditworthiness. The guidelines also streamline credit reports by linking borrower records to government-issued IDs such as PAN, passport, or voter ID. A single, consolidated report will now reflect all open and closed loans, defaults, legal actions, and coborrower or guarantor roles.
“These measures help eliminate fragmented data and provide a clearer picture of a borrower’s total liabilities,” Bhanu added.
Additionally, CICs can now share credit data with non-specified users—entities not traditionally allowed access—provided they secure borrower consent. This expansion in data sharing is balanced by strict privacy and security requirements. While the new norms may require significant tech and process upgrades for lenders, experts see them as a step toward a more transparent and responsible credit ecosystem.
This article was first published on CNBC TV 18 on 21st May 2025.
In a small clinic in Mumbai, a doctor sees two patients back-to-back. The first is a severely underweight child stunted from years of malnutrition. The second is a 32-year-old man, obese and pre-diabetic. This stark contrast is a growing reality in India. While hunger remains a crisis, obesity is an equally urgent public health emergency. Yet, unlike diabetes or heart disease, obesity continues to be India’s silent epidemic—recognised but rarely confronted.
India ranks third globally in projected obesity-related economic losses after China and the US. Urban obesity rates range from 13 per cent to 50 per cent, and even in rural India, they hover between 8 per cent and 38 per cent. The proportion of overweight children rose 2.1 per cent to 3.4 per cent between recent national surveys (NFHS-4 to NFHS-5) (1). Obesity doesn’t stay solo for too long. It is often the precursor to many Non-Communicable Diseases (NCDs), including diabetes. Between 1990 and 2016, India’s diabetes prevalence jumped by 64 per cent (2), as cases skyrocketed from 26 million to 65 million. This is just one of the many health issues that stem out of obesity.
Obesity costs India an estimated USD 23.2 billion (3) annually in healthcare expenses and lost productivity. If current trends continue unchecked, global obesity-related GDP losses could soar to USD 4 trillion (4) by 2035.
Despite these alarming numbers, India lacks a coordinated response to obesity. The National Programme for Prevention and Control of Non-Communicable Diseases (NP-NCD) (5) labels obesity as a risk factor but allocates little direct funding to combat it. Other nations have taken decisive action – New York (6) banned trans fats, and the UK (7) and US (8) introduced sugar taxes—but India’s policy measures remain weak and poorly enforced. The government’s Eat Right India (9) campaign has made some progress in raising awareness, but it stops short of regulating food companies that flood the market with ultra-processed, high-sugar, high-fat products.
Obesity care is also financially out of reach for most Indians. While Ayushman Bharat (10) covers major health risks, it does not include obesity treatment or weight management programs. Private insurance policies exclude obesity-related care unless linked to severe complications. This forces most Indians to delay intervention until it is too late.
India’s food environment does little to support healthy choices. Unhealthy, ultra-processed foods are aggressively marketed, especially to children. Meanwhile, fresh, nutritious food remains expensive and inaccessible to many.
For low-income populations, deep-rooted cultural perceptions that link higher body weight with prosperity add another layer of resistance to obesity prevention efforts. Even those who wish to make healthier choices are constrained by poor urban planning. Indian cities are designed for vehicles, not people. Pedestrian walkways are scarce, cycling infrastructure is almost nonexistent, and green spaces where people can exercise are shrinking daily.
To prevent obesity, India must implement strong fiscal policies that shape healthier consumer choices. Taxes on sugary drinks and subsidies for fruits and vegetables can make nutritious food more accessible and discourage excessive sugar intake. Restricting junk food marketing to children and strengthening school-based nutrition and physical education will help instill lifelong healthy habits. Additionally, urban infrastructure should be redesigned to encourage physical activity, with more pedestrian pathways, cycling tracks, and recreational spaces.
Beyond policies, public awareness and cross-sector collaboration are essential. Culturally sensitive campaigns in schools, workplaces, and mass media can reinforce healthy behaviors. Technology can support weight monitoring, virtual counseling, and digital health services. Meanwhile, health, education, and urban planning must align efforts to create environments that support active lifestyles. The private sector should also be engaged in food reformulation and improved labeling to empower consumers.
Obesity care must be integrated into primary healthcare for early diagnosis and treatment. Ayushman Bharat Health and Wellness Centres should offer BMI screenings and trained counseling. Establishing referral pathways for specialised care and expanding dietitians and bariatric surgeons will improve access. Finally, affordable treatments, regulated therapies, and evidence-based interventions are key to ensuring effective obesity management.
By 2050, a third of India’s population could be obese. Yet India still lacks a national obesity registry, and prevention remains an afterthought (11).
The real question is not whether we should act on obesity but why we have not already. Will the country wait until this crisis spirals out of control, or will it take decisive action now? This World Health Day, India must stop seeing obesity as a secondary issue and start treating it like the public health emergency it truly is.
References:
1. Ministry of Health and Family Welfare, Government of India. 2021. National Family Health Survey (NFHS-5), 2019–21. https://mohfw.gov.in/sites/default/files/NFHS-5_Phase-II_0.pdf.
2. Pradeepa, R., and V. Mohan. 2021. “Epidemiology of Type 2 Diabetes in India. Indian Journal of Ophthalmology 69 (11): 2932–38. https://doi.org/10.4103/ijo.IJO_1627_21.
3. Okunogbe, A., R. Nugent, G. Spencer, J. Powis, J. Ralston, and J. Wilding. 2022. “Economic Impacts of Overweight and Obesity: Current and Future Estimates for 161 Countries. BMJ Global Health 7 (9): e009773. https://doi.org/10.1136/bmjgh-2022-009773.
4. Ng, Marie, et al. 2021. “Global, Regional, and National Prevalence of Adult Overweight and Obesity, 1990–2021, with Forecasts to 2050: A Forecasting Study for the Global Burden of Disease Study 2021. The Lancet 405 (10481): 813–38.
5. Ministry of Health and Family Welfare, Government of India. 2025. National Programme for Prevention & Control of Cancer, Diabetes, Cardiovascular Diseases & Stroke (NPCDCS).
6. Mello, Michelle M. 2009. “New York City’s War on Fat. New England Journal of Medicine 360 (19): 2015–20. https://doi.org/10.1056/NEJMhle0806121.
7. Rogers, N. T., S. Cummins, H. Forde, C. P. Jones, O. Mytton, H. Rutter, S. J. Sharp, D. Theis, M. White, and J. Adams. 2023. Associations between Trajectories of Obesity Prevalence in English Primary School Children and the UK Soft Drinks Industry Levy: An Interrupted Time Series Analysis of Surveillance Data. PLoS Medicine 20 (1): e1004160. https://doi.org/10.1371/journal.pmed.1004160.
8. Jones-Smith, J. C., M. A. Knox, S. Chakrabarti, et al. 2024. Sweetened Beverage Tax Implementation and Change in Body Mass Index Among Children in Seattle. JAMA Network Open 7 (5): e2413644. https://doi.org/10.1001/jamanetworkopen.2024.13644.
9. Ministry of Health and Family Welfare, Government of India. Food Standards and Safety Authority of India (FSSAI). https://eatrightindia.gov.in.
10. National Health Authority, Government of India. Ayushman Bharat Digital Mission. https://abdm.gov.in/abdm-components.
11. Kerr, Jessica A., et al. 2021. Global, Regional, and National Prevalence of Child and Adolescent Overweight and Obesity, 1990–2021, with Forecasts to 2050: A Forecasting Study for the Global Burden of Disease Study 2021. The Lancet 405 (10481): 785–812.
MicroSave Consulting (MSC) is a boutique consulting firm that has, for 25 years, pushed the world towards meaningful financial, social, and economic inclusion. These podcast series are hosted by MSC for dedicated founders, start-ups, investors, and other stakeholders in the startup ecosystem. Through this bouquet of curated conversations around developments in the financial inclusion space, we offer insights and lessons based on our research and expertise.
How can insurance transform how communities build climate resilience?
byMicroSave Consulting
In this episode, join Shirleen Regina Olalo and Vineet from MSC’s Banking, Financial, and Insurance services team. Hear from them as they explore how parametric and inclusive insurance solutions drive climate resilience for MSMEs in developing markets to ensure faster, smarter risk protection.
India’s public finance system has saved ₹26,000 crore in interest costs through reforms like TSA and SNA-SPARSH, enabling near real-time fund release. Yet, actual payments to beneficiaries often face delays due to manual approvals. Odisha’s pilot of a Smart Payment System under its MUKTA scheme offers a glimpse into the future — combining JIT fund release with rule-based automation. Scaling this model nationwide can eliminate delays, reduce administrative burden, and build trust in public service delivery. The next leap: real-time, algorithm-triggered payments that ensure transparency, efficiency, and last-mile impact in governance.
During her address at the 49th Civil Accounts Day on March 1, Finance Minister Nirmala Sitharaman underscored a landmark achievement in India’s public finance management — a savings of approximately ₹26,000 crore in interest costs since 2017-18. This remarkable feat has been enabled by the implementation of the Treasury Single Account (TSA) and the Single Nodal Agency (SNA) models, which have fundamentally restructured the government’s approach to fund disbursement.
At the heart of this transformation lies the shift to the SNA system for Centrally Sponsored Schemes (CSS), which has consolidated banking arrangements, curtailed idle funds (float) in bank accounts, and enhanced transparency in fund utilization. The subsequent transition to SNA-SPARSH (System for Payments and Reporting Across Sectors Holistically) has taken this evolution a step further — bringing the system closer to a true Just-In-Time (JIT) model of public expenditure.
The traditional model of credit or push-based fund release, where funds were disbursed in advance to implementing agencies, has now given way to a debit or pull-based system under SNA-SPARSH. In this framework, a debit to the Central Pool occurs only when an implementing agency issues a payment instruction, effectively pulling funds in real-time from the TSA to the end beneficiary’s account. This has significantly reduced the float across thousands of government bank accounts and, in doing so, has lowered the government’s borrowing requirements and associated interest burdens.
However, while SNA-SPARSH has enabled real-time fund release, the vision of real-time payments — the holy grail of JIT public finance — remains just out of reach. A critical time lapse still exists between the completion of work, the generation and uploading of payment files, and their subsequent approval. This delay in the final step of disbursing funds impacts frontline service delivery, particularly in vital sectors such as health, education, nutrition, and infrastructure.
The recent case in Haryana, where 600 private hospitals temporarily suspended services under the Ayushman Bharat scheme due to delayed payments, illustrates the fragility of outcomes when payment timelines falter. Although services resumed following government assurances, the incident underlines the urgent need for a more responsive, intelligent system of public payments.
Enter the Smart Payment System — a next-generation framework that builds on the successes of SNA-SPARSH but adds the critical layer of automation and algorithmic intelligence to achieve real-time, rule-based payments.
The Smart Payment System will rest on two foundational pillars:
Efficient Fund Release: Leveraging SNA-SPARSH’s ability to pull funds directly from the treasury to the beneficiary’s bank account, ensuring a zero-float system.
Efficient Payment Processing: Introducing real-time fund disbursement, triggered by algorithmically defined rules when predefined conditions are met, without human intervention.
For instance, under the Ayushman Bharat scheme, once a patient’s treatment is completed and verified by the State Health Authority’s claim processing doctor, the system should automatically trigger payment to the hospital. In infrastructure projects, once an engineer validates that the required work has been completed, the system should instantly initiate the payment, again, without the need for manual processing.
Such a smart system not only ensures fiscal discipline and transparency but also strengthens the last-mile impact of public expenditure. By eliminating delays and minimizing discretion, it can build trust among stakeholders, from hospitals and contractors to citizens, and ensure that government spending truly delivers on its promise.
As India continues to digitalize its governance and public finance architecture, the Smart Payment System could represent the next great leap forward — one that brings governance closer to real-time accountability, efficiency, and service delivery.
India’s public financial management has undergone a quiet but powerful transformation in recent years. From the introduction of the Treasury Single Account (TSA) to the rollout of the Single Nodal Agency (SNA) model and its advanced iteration, SNA-SPARSH, the country is steadily moving towards a Just-In-Time (JIT) funding regime. These reforms have already yielded significant dividends — ₹26,000 crore saved in interest costs since 2017-18 — by curbing idle funds and tightening fiscal discipline.
Yet, while fund release has reached near real-time through SNA-SPARSH, fund disbursement — the actual payment to beneficiaries upon completion of services — continues to suffer from procedural delays. Payments often lag due to the time it takes to generate, upload, and approve payment files, even after work has been verified. This gap undermines the potential of these financial innovations and affects real-world outcomes in sectors such as health, nutrition, and infrastructure. The recent impasse in Haryana, where private hospitals suspended services under Ayushman Bharat due to delayed payments, highlighted this critical bottleneck.
Fortunately, the solution may already be within reach.
One such promising model is emerging from the state of Odisha, which is piloting a smart payments ecosystem for its MUKTA scheme — a flagship urban wage employment initiative launched during the COVID-19 pandemic and now part of the Mukhyamantri Sahari Vikas Yojana. The program initially grappled with several familiar challenges: delayed wage payments, idle funds, and administrative inefficiencies.
To address these, the Odisha government has engineered a two-pronged system:
A Just-In-Time fund release mechanism for the State Finance Department, enabling Urban Local Bodies (ULBs) to pull funds directly from the state’s consolidated fund.
A rule-based payment processing platform called MUKTASoft, developed for the Housing & Urban Development Department.
Together, these components allow ULBs to transfer funds directly to beneficiaries, including wage-seekers, Self-Help Groups (SHGs), and vendors, the moment payment conditions are met. The system is designed to autonomously trigger payments based on preset rules, significantly reducing manual intervention and easing the administrative burden on local officials.
Now being piloted in 23 of the state’s 149 ULBs, early indicators are promising: the project has effectively eliminated idle fund parking and cut payment delays by 57%. These are not just efficiency improvements — they are tangible enhancements in governance and service delivery.
Odisha’s smart payment model offers a glimpse into the future of public payments in India. By integrating rule-based algorithms into the SNA-SPARSH framework, the Government of India can unlock the next stage of reform — one where payments are not only just-in-time but also just-in-context.
Imagine a system where, once a hospital successfully treats a patient under Ayushman Bharat and a doctor certifies the claim, the payment is instantly credited — no paperwork, no waiting. Or where, upon an engineer’s digital verification of a completed infrastructure milestone, contractor payments are auto-triggered. This isn’t a far-off dream — it’s a logical next step built on the foundation already laid by TSA, SNA, and SPARSH.
The call to action is clear: the central government should consider a final, focused reform of the SNA-SPARSH system — one that adds autonomous, rules-based payment processing. By doing so, it can complete the JIT payments architecture, reduce administrative overhead, and ensure beneficiaries and vendors are paid swiftly and fairly.
As these reforms scale, India could soon emerge as a global exemplar in digital public finance, where governance is lean, responsive, and citizen-centric.
This op-ed was first published on etedge-insights on the 22nd of April, 2025
In the remote hills of Odisha, India, Meena Juang surveys her drying crops. “We already face water shortages throughout the year,” she explains. “Low rainfall only makes the situation worse.” Across India, particularly vulnerable tribal groups (PVTGs) find themselves on the frontlines of climate change with limited resources to adapt. Over 3.3 billion people live in areas of high climate vulnerability, and indigenous and marginalized communities bear the heaviest burden.
Locally-led Adaptation (LLA) offers a paradigm shift. Unlike top-down interventions, LLA empowers communities to design solutions rooted in their lived experiences and local knowledge. As one Sahariya tribe elder noted, “We know the land’s pain—we’ve seen the rains vanish and the crops wilt. Yet no one asks us how to fix it.” MSC’s LLA community-level toolkit bridges this gap to transform communities from beneficiaries to architects of resilience.
Overview of MSC’s LLA toolkit
The LLA community-level toolkit embodies the eight principles for locally led adaptation endorsed at the 2021 Climate Adaptation Summit. It provides a participatory framework designed to help communities assess hazards and risks, prioritize actions, and develop adaptation plans. The toolkit can be used in diverse ecosystems. MSC has used it from the drought-prone plains of Rajasthan to the flood-affected forests of Jharkhand. It is designed explicitly to be inclusive and give voice to communities through visual mapping, games, and structured discussions.
The toolkit in action
Preparation is key to the toolkit’s effective implementation. Extensive secondary research is vital to understand the nature of climate risks and past activities in the locality. This requires a deeper look at three areas.
Ongoing national and local government, and where appropriate private sector, planning and responses to climate change, including policies and regulatory provisions. These are vital to inform respondents about adaptation options that can lead to a positive impact.
The availability of formal and informal financial services in the area. This is key to assessing options to fund and implement adaptation plans developed using the toolkit.
Extensive knowledge of these three areas will enable moderators to guide the participants effectively as they use the toolkit to develop their adaptation plans. The toolkit itself comprises six sequential tools designed to be implemented through participatory workshops with diverse community members:
1) Mapping of climate hazards and exposure: Communities use this tool to create visual maps of their area to identify climate-hazard-prone zones and track how hazard patterns have changed over time. The Korwa tribe in Jharkhand, for instance, mapped how monsoon rainfall has decreased while temperature extremes have intensified, affecting crop cycles and forest productivity.
2) Assessment of vulnerability: Using DFID’s Sustainable Livelihoods Framework communities evaluate their five capitals (human, social, natural, physical, and financial) to identify strengths and weaknesses in their adaptive capacity. This reveals critical shortfalls—such as the Korwa tribe’s limited financial capital and the Sahariya tribe’s deteriorating natural resources—while highlighting assets that can be mobilized.
3) Identification of climate-related risks: Participants then analyze how climate hazards interact with vulnerabilities to create direct and indirect impacts. For example, the Korwa tribe mapped how extended dry spells reduce water availability, livestock health, and crop and forest yields, which compounds challenges and compromises household finances.
4) Developing adaptation options: Using innovative methods like modified “snakes and ladders” games, communities brainstorm potential adaptation strategies. This gamification helps participants visualize risks (snakes) and solutions (ladders) in an engaging, accessible format, regardless of literacy levels. Korwa tribe members identified various adaptation options that spanned road and house construction, improved water management systems, and agricultural extension.
5) Prioritizing adaptation strategies: Communities evaluate potential adaptation options based on availability (is it technically feasible?), accessibility (can we implement it?), and affordability (can we sustain it?). This ensures that final plans reflect realistic, context-appropriate solutions rather than wishful thinking. The Korwa tribe prioritized the construction of pucca houses that do not leak during heavy rainfall and improved drinking water facilities for agricultural and personal consumption during the increasingly hot dry season.
6) Creating a community adaptation plan (CAP): The process culminates in a detailed action plan that specifies activities, milestones, timelines, costs, funding sources, and responsible stakeholders. The CAP brings together different discussion threads that emerged from the deliberations and transforms them into a concrete roadmap for implementation.
Benefits of MSC’s LLA toolkit
The LLA toolkit offers several distinct advantages for those seeking to enhance climate resilience among vulnerable communities:
Indigenous knowledge meets scientific understanding: The toolkit enables the combination of traditional knowledge with accessible explanations of climate change science. This is essential for the development of technically sound adaptation strategies that are culturally suitable in the context of locally embedded models.
Complex climate planning becomes accessible: Climate change adaptation involves complex environmental, social, and economic interactions. The toolkit’s approach breaks this complexity into manageable components to enable people to participate meaningfully regardless of their technical expertise or formal education levels.
Builds communities’ capabilities: The implementation process enables and encourages participants to think through the implications of the unfolding climate crisis and how they can respond to it.
Adaptability across contexts: The toolkit’s principles can be applied across diverse geographic and cultural contexts. We are already applying them in Bangladesh, Uganda, India, and Indonesia in MSC’s new IFSP toolkit. This toolkit’s participatory, game-based approaches and visual mapping techniques transcend literacy barriers and can easily be adapted to local conditions.
Community ownership drives sustainability: When communities lead the identification of adaptation options, they develop greater commitment to implementation and maintenance. This starkly contrasts with externally imposed solutions that often fail once project funding ends. As demonstrated by the Juang tribe’s enthusiasm for the check dams they helped design, locally-led initiatives create stronger buy-in.
Integration with existing governance systems: The toolkit complements rather than competes with formal planning mechanisms. In India, community adaptation plans can be integrated into Gram Panchayat Development Plans (GPDPs) to create formal resource allocation and implementation pathways. This integration enhances the legitimacy and sustainability of adaptation initiatives.
Actionable plans attract multi-stakeholder support: Effective coordination among the four key stakeholders is essential for an impactful community-based LLA initiative. Communities develop and own their adaptation plans alongside local government agencies, which ideally would integrate elements of these plans into their formal development agendas. Civil society organizations (CSOs) provide technical support and capacity building to the community, while financial institutions offer suitable financial services. Through the creation of specific, time-bound plans with clear responsibilities, communities can engage government agencies, CSOs, and financial institutions more effectively.
The detailed implementation pathways in the CAP create accountability mechanisms and reduce coordination challenges. They also ensure that community priorities receive adequate resources, technical support, and institutional backing to transform plans into sustainable action.
The path ahead
For practitioners who work with climate-vulnerable communities worldwide, the MSC’s LLA toolkit offers a proven methodology to transform abstract climate concerns into concrete, community-owned action plans. These plans help governments and private sector players to identify ideas more likely to have a positive impact and scale existing climate change adaptation initiatives. They also create avenues for sustainable financing of climate change adaptation initiatives. They encourage partnerships, particularly public-private partnerships (PPPs), to integrate climate adaptation solutions into existing businesses, such as microfinance, agribusiness, healthcare, education, and digital financial services.
Perhaps most importantly, the LLA process empowers communities to move from being passive victims of climate change’s effects to achieving active agency in their lives. As one participant reflected, “Before this process, we only talked about our problems. Now we find solutions together.”
“… investments in adaptation and resilience-building around the world continue to fall far short of documented needs. It is also increasingly clear that although public finance for adaptation has increased, it will not suffice. Private sector investment is critical to closing the adaptation finance gap.” – The World Bank Group and the Global Facility for Disaster Reduction and Recovery (GFDRR) (2021).
The adaptation finance crisis
While countries worldwide have pledged to prioritize climate adaptation, the gaps between promises, delivery, and needs are alarming. Back in 2009, at the COP15 in Copenhagen, developed nations promised to set aside USD 100 billion each year by 2020 to help developing countries mitigate and adapt to climate change’s impact. At the COP29 in Baku, Azerbaijan, these promises were further escalated to USD 300 billion each year by 2035—but this depended on the involvement of private sector capital.
Yet, developed countries only contributed about USD 83.3 billion in 2023 toward climate finance for developing nations. Meanwhile, only USD 29–35 billion each year actually reached developing countries in 2022, with a meager 10–15% trickling down to local communities due to bureaucratic inefficiencies. Today, developing countries require USD 215–387 billion each year to adapt to escalating climate impacts—a figure that the Climate Policy Initiative estimates will balloon to USD 315–565 billion annually. Additionally, while public finance for climate adaptation has increased, private sector contributions remain extremely low—only about 3–5% of total adaptation finance.
The gap is not just financial but existential. If we are to close the gap, developed countries must honor and expand their commitments. They must use blended finance to crowd global and local private-sector funding.
However, most traditional LLA approaches use a comprehensive, one-size-fits-all model, where local governments and communities design adaptation plans collaboratively. Yet, this comprehensive approach can gloss over the diverse financial capacities and structural needs of different actors—local governments, MSMEs, farmers, and vulnerable households.
While the global discourse acknowledges the importance of LLA, actual implementation remains hindered by structural inefficiencies, inadequate funding mechanisms, and top-down decision-making processes that marginalize local voices. As the IIED’s LIFE-AR notes, “The choice of delivery mechanism—local vs. higher-tier—depends on the stakeholder. MSMEs thrive with decentralized finance; infrastructure requires centralized coordination.”
The comprehensive LLA model has played a crucial role to shift adaptation decision-making to the local level through pioneering frameworks, such as the UNCDF’s LoCAL and IIED’s LIFE-AR initiative. These frameworks emphasize inclusivity and decentralized governance to ensure community voices shape adaptation investments.
However, the comprehensive approach typically fails to recognize that local government officials often struggle to identify, still less meaningfully engage with, very poor, climate-vulnerable communities. Furthermore, the extent to which local governments can effectively raise funds and reach the most climate-vulnerable populations varies significantly. Two major factors that underlie this are the capacity of local government officials and the size, structure, and mandate of local governments, many of which are prohibited from raising funds.
A segmented model for LLA
A more effective LLA model could be to recognize the very different types of stakeholders involved, as the IIED has clearly identified. This approach requires us to segment adaptation responses based on three key groups:
1) Local government—driving large-scale infrastructure
Local governments responsible for large-scale adaptation infrastructure, such as flood barriers, irrigation systems, and resilient transport networks, require long-term financing mechanisms alongside public sector oversight to implement these projects. This positions local governments as ideal recipients of institutional funding from sources, such as the Green Climate Fund (GCF) and development banks.
Governments can also tap into capital markets by issuing municipal bonds, an underutilized tool in most developing countries. A successful example of this approach is Cape Town, South Africa. In 2017 the municipality floated a USD 83 million 10-year green municipal bond that was four-times oversubscribed. The bond is funding climate-resilience projects such as water-capture and storage infrastructure, alternative treatment plants, and new flood-defence works. This demonstrates how public financing tools can align with decentralized adaptation planning to ensure sustainable infrastructure development.
Case study: Kenya’s County Green Investment Facility
Based on its work on the County Climate Change Fund (CCCF) Mechanism, FSD Kenya commissioned the county green finance assessment, which provided the first analysis of the green assets and potential at the county level. This work demonstrated the vast potential for projects that can be developed to enhance climate resilience and provide opportunities for green finance. However, county governments require support to package these projects and ensure they manage risks effectively at the global, macroeconomic, national, and local levels.
Collaboration is required to bridge this gap and channel green finance to communities through a pipeline of investable projects that align with investor expectations and address potential concerns. In response, FSD Kenya established the County Green Investment Facility to support 10 county governments to access finance for community-driven green development initiatives.
2) MSMEs and farmers—unlocking financial services for adaptation
Micro, small, and medium enterprises (MSMEs) and agriculture employ around 70% of workers in low-income countries. MSMEs are critical economic players in local adaptation but often lack tailored financial products. Through credit, insurance, and other financial services, MSMEs and farmers can invest in climate-smart technologies, such as drought-resistant crops, renewable energy solutions, raised homesteads, and solar water pumps. Credit also enables them to build business continuity strategies to withstand climate shocks and generate local employment opportunities, thus strengthening community resilience.
Despite this, many adaptation finance models do not fully engage the private sector or use it to complement their work. Only 2% of total global climate finance reaches MSMEs. Unlike local governments, inclusive financial service providers (IFSPs) that lend to MSMEs often lack access to large-scale public funding, particularly for climate-vulnerable MSMEs. However, they could mobilize private capital, mainly if supported by blended finance mechanisms, such as partial loan guarantees, credit lines, and climate insurance.
The UNCDF’s LoCAL program pioneered performance-based grants to support community-led initiatives. Yet, it initially overlooked private-sector financing mechanisms that could help MSMEs scale their adaptation efforts. However, new models are emerging to bridge this gap. The UNCDF and SNV’s GrEEn Project in Ghana has demonstrated how blended finance can de-risk private investment in climate-resilient MSMEs. The initiative offered first-loss guarantees and co-financing incentives to mobilize private bank loans for 1,200 MSMEs, with 40% securing follow-on investments.
The CGAP and MSC note that IFSPs provide an excellent channel to deliver financial services to climate-vulnerable MSMEs and farmers. However, few IFSPs currently offer products tailored to climate resilience and adaptation. MSC has developed an LLA toolkit focused explicitly on this segment to help IFSPs better understand and respond to the needs of MSMEs.
These loans have interest rates of 10–15%, which is significantly lower than informal lenders, and flexible repayment schedules aligned with agricultural harvest cycles. The loans typically range from USD 100 to USD 500 and have reached 500,000+ households since 2008. The program has boosted crop yields by 30% for farmers who adopted saline-tolerant varieties and increased incomes for those using floating gardens in flood-prone haor wetlands. BRAC mitigates risks of defaults due to climate disasters by incorporating post-disaster grace periods. It also offers emergency loans and bundles insurance with loans to ensure financial sustainability and empower vulnerable communities to adapt sustainably.
3) Vulnerable community members—accessing social protection mechanisms
The poorest and most climate-exposed populations—subsistence farmers, informal laborers, and disaster-affected communities—often lack access to credit or the ability to repay loans. Instead, they require grant-based support to build resilience to climate impacts and recover from them.
These populations benefit more from loss and damage compensation for climate-related disasters, social security grants to support basic needs and recovery, and community-based adaptation funds that provide small-scale assistance for localized challenges.
Case study: KALIA
The Government of Odisha’s KALIA program (2018) supports climate adaptation indirectly through financial assistance. It provides INR 5,000–10,000 (USD 57-115) per year for agricultural inputs, INR 12,500 (USD 144) for livelihood diversification, risk mitigation tools worth INR 200,000 (USD 2,300) in the form of life and accident insurance, and INR 50,000 (USD 575) in interest-free loans to farmers. This support enables investments in drought-resistant seeds, non-farm livelihoods, such as poultry and fisheries, and adaptive technologies, such as drip irrigation.
A multi-tiered approach to local level adaptation: The role of private finance
The ongoing evolution from a comprehensive approach to a segmented LLA model improves efficiency, equity, and scalability in climate finance. This approach tailors interventions to the distinct needs and financial capacities of three key groups—local governments, MSMEs, and vulnerable communities—to unlock more targeted investment opportunities.
Unlike comprehensive approaches, which often struggle to attract large-scale financing, a differentiated model can ensure that private capital, public funds, and grants are directed to the actors best positioned to use them effectively.
This evolution of locally-led adaptation aligns with the Paris Agreement’s core principle of leaving no one behind while harnessing private sector investment to fill the adaptation finance gap.
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