This paper analyses how small and medium-sized enterprises (SME) in the emerging economies are adopting Industry 4.0 with specific reference to cloud-to-edge transformation and its potential impact on productivity and employment. Although the use of new digital technologies has become common among large ventures, SMEs are usually constrained due to cost, capacity, infrastructures, and data management. The article builds a conceptual cloud-to-edge Industry 4.0 system that combines IoT-enabled systems, edge and fog nodes, and scalable cloud servers to aid in real-time analytics, automation, and data-driven decision-making under resource-limited conditions. The survey evidence, secondary datasets, and example case studies of manufacturing, service, and agro-industrial SMEs are mixed with the survey evidence in the study using the mixed-method research design. The effects of productivity are measured in terms of operation efficiency, decreased downtime, quality, and responsiveness of the supply chain, whereas the effects of employment are measured regarding creation of jobs, change in tasks, intensity of skill, and productivity of labour. The results show that the cloud-to-edge architectures contribute to much better visibility of the processes and predictive maintenance as well as latency reduction in comparison to cloud-only systems, which translate to productivity gains. The impact on employment is less obvious: there is a tendency to replace routine tasks with robots, but there are new jobs in the field of supervising systems, data processing and management, and high demand for reskilling. The paper identifies policy, infrastructure, and capability-building issues that should be in place to result in inclusive digital transformation.

Microfinance in these seasonal economies is a significant challenge for MFI to correspond loan cycles with smallholder farmers’ short-lived cash flow while balancing between client demand and institutional sustainability. It is a concept paper and aims to map theoretical routes for adaptive loan design that draw from financial services provision models, enterprise risk management theories, and literature on income seasonality and stochasticity. Building on a representational foundation, the article sets out a comprehensive industry architecture depicting the interplay of flexibility in the loan product, risk reduction in the portfolio, and administrative feasibility. A typology of flexible repayment schedules, principles for modular loan products, and examples of governance structures that reduce moral hazard and delinquency will be delivered. The model's emphasis is on its lending disbursal of loans and repayment amounts aligning with crop cycles and the earning calendar for micro-enterprisers. The results show that they are conceptually feasible, have the potential to make the model more comprehensive, have the potential to decrease the risk of the portfolio, and have the potential of still being an efficient functioning. The implications are used to create lending practices and policies leading to increased inclusion and resilience for clients in a seasonally variable income situation.

Microfinance made possible through FinTech has become an effective catalyst of financial inclusion to last-mile communities and a plausible route to Sustainable Development Goal (SDG) 1 (No Poverty) and SDG 8 (Decent Work and Economic Growth). Through digital payment solutions, mobile banking, AI-based credit check, and data analytics, FinTech can minimize the structure, i.e., geographic isolation, the absence of formal credit history, and elevated transaction rates. This digitalization enhances the ability of the microfinance institutions to provide affordable, scalable and inclusive financial services, which contribute to livelihood creation and economic resiliency of locals. Although the world is making strides in financial inclusion, last-mile communities are still overrepresented in the informal financial framework. Microfinance models Traditional models of microfinance are inefficient in their operations, have limited reach, are characterized by high default risk, and rely on manual processes. These limitations limit access to credit, savings, and insurance products on a timely basis and therefore limit entrepreneurial activities and sustainable production of employment. The existing literature tends to separate FinTech innovation and the development of microfinance, with little conceptualization of the two at an SDG-based level of critique. Evidence of the linkage of FinTech-enabling models of microfinance with quantifiable results on poverty alleviation and decent work in underserved areas is lacking. The current paper suggests a hybrid FinTech-microfinance model that builds on mobile apps, digital identities, risk scoring based on artificial intelligence, and real-time tracking to improve its outreach and financial sustainability. It contributes to the fact that technological innovation was aligned with the SDG indicators, showed better outcomes in income stability, growth of micro-enterprises, job creation, and inclusive economic development, thus contributing to SDG 1 and SDG 8.

Crop microinsurance penetration rate is low among the smallholder farmers mainly because of the traditional lack of trust in the financial institutions and the lack of knowledge about procedures to claim. To address that challenge, this study utilizes existing trust-building theory, financial capability frameworks, and community-based outreach models to generate an integrated model applicable to product cooperatives. Using principles of systematic review and synthesis, this paper charts a course through the literature base to illustrate the ways programming implementation, communication transparency and peer-led intervention are already understood to successfully counter skepticism and misunderstanding. On such barriers such as information asymmetry, culture of negativity and historical final non-payment is been identified and thereby the mappings so derived lead the design of taxonomies in intervention trigger points in cooperative societies. The examination provides a matrix of outreach and literacy to assist in the development of context-specific, optimised interventions, which has practical implications for both practice and policy. It also identifies specific measures (e.g., trust perceptions) to assess intervention effectiveness, application of academic measures (i.e., financial literacy, intention to enrol), intermediate outcomes (i.e., reduction of misinformation among hard-to-reach populations), and participation in outreach. Our systematic approach also offers a practical foundation for the development and testing of microinsurance uptake-promoting interventions to facilitate inclusive and sustainable development of local financial systems in rural settings.

High rates of default and irregular rates of repayment remain critical constraints on MFIs, particularly when lending to vulnerable rural clients that are also affected by recurrent systemic shocks including crop failure. The paper models risk contagion across a lending portfolio as a spread of risk following an economic or credit shock based on the lending portfolio of a microfinance institution, and develops channels of resilience through borrower segmentation, adaptive loan structuring and dynamic credit policy. This framework, which is grounded in an extensive review of the literature on risk and risk management in microfinance across different sub-fields, distinguishes between structural and contingent vulnerabilities and aggregative best practices: risk pooling, repayment flexibility, group lending and segment-based intervention. It discusses easily communicable indicators, including para portfolio-at-risk ratios, para repayment regularity indices, para segmented default comparisons, and para stress-test results, and their value in early-warning signals and trigger management. The model provides a taxonomy of intervention strategies based on the rationality of interventions with respect to at-risk borrower segments and impact mitigating effects of adverse scenarios and allows to track the performance of the on-health reflection. The foremost contribution of the study is a generic risk management framework that will enable microfinance institutions to implement evidence-based resilience strategies anchoring their financial sustainability and development performance, particularly in crisis-prone, rural landscapes.

Given the hesitancy private banks often feel with agricultural lending, this article examines how the partner banks of the European Bank for Reconstruction and Development (EBRD) Micro and Small Enterprise Finance Facility (MSEFF) in Kyrgyzstan adopted this new product. It delineates the steps the banks took to develop the product and describes its rollout in three unique banks over the past two years. It also discusses the strengths and weaknesses of the banks' agricultural financing and opportunities for future development in agri-crediting in Kyrgyzstan.

Benchmarking SME banking practices is an IFC initiative which aims to identify key success factors and highlight links between performance and business models, processes and tools adopted by participating banks. It is a first step towards a global benchmarking of SME banking practices. The objective of this work is to provide participating banks with an opportunity firstly to benchmark their practices against other top institutions in the industry. The methodology used for this exercise was qualitative and quantitative benchmarking studies in five banks in OECD countries and six emerging market banks. The key lessons emerging from this work are highlighted in the article.

As the export of shrimp from developing countries grows, food safety and other standards required by global buyers become increasingly stringent. Taking the example of the shrimp industry in Bangladesh, this article examines the potential conflict between efforts to enhance export competitiveness by complying with these standards and the pursuit of pro-poor growth with maximum small farmer participation. In order to comply with global standards, the food industry needs to coordinate different activities along the value chain. The shrimp industry in Bangladesh, which involves many small farmers in shrimp culture, has yet to develop an effective mechanism to facilitate the necessary coordination. One of the possible ways to overcome this problem is to consolidate the supply base in ways that would reduce small farmer involvement. Export promotion requires policy support to strengthen the entire industry's capacity to comply with complex global standards. Small farmer development, on the other hand, needs policies to enhance their livelihood security and reduce vulnerability. In theory, both objectives could be achieved simultaneously by integrating small farmers more effectively in the export-oriented shrimp industry. In practice, export promotion would require measures to re-organize the supply chain with consequences which may conflict with sustainable livelihoods of small farmers.

Developing risk-sharing models or strategic alliances with farmers, agribusinesses, and financial institutions in value chains can effectively increase access to markets and expand outreach of financial and non-financial services to farmers underserved by formal financial institutions. After understanding the existing financial relationships among farmers and agribusinesses in different value chains and contexts, innovative risk-sharing models were developed. Experiences gained developing and pilot-testing these models provide practical examples of how financial institutions, agribusinesses and market facilitators can work together to reduce the risks and costs of lending to small farmers, while capitalizing on the benefits. Risk-sharing models were pilot-tested by Caja Nor Perú (CNP), Financiera El Comercio A.S.E.C.A. (El Comercio) and International Development Enterprises-India (IDEI) during the 18-month SEEP Network Practitioner Learning Program (PLP), Strategic Alliances for Financial Services and Market Linkages in Rural Areas. From this practitioner-led research, six main findings on how to develop risksharing models were drawn, and a topic previously unaddressed by rural finance research - the role of market facilitators in strengthening value chains and developing financing arrangements - was explored.