A Study on the Impact of FinTech on Green Finance and ESG Investments.

Mrs. Shrutika R. Thakkar,

Assistant Professor, GSFC University, Vadodara.

Abstract

The convergence of Financial Technology (FinTech) and green finance represents a paradigm shift in the global effort to achieve carbon neutrality, offering a technological solution to the chronic "green finance gap" that currently hinders climate-resilient development. By integrating digital innovations such as blockchain and artificial intelligence (AI), the financial sector can effectively mitigate the "principal-agent" problem and reduce information asymmetry, ensuring that capital is directed toward authentic green projects rather than misleading "greenwashing" initiatives (Albert et al., 2025; Gao et al., 2024). In emerging economies like the BRICS and E7 nations, FinTech acts as a vital accelerator for energy efficiency and sustainable growth, providing the infrastructure necessary for transparent carbon credit trading and real-time ESG performance monitoring (Liu et al., 2022; Udeagha & Muchapondwa, 2023). However, the long-term success of this digital-sustainability nexus is contingent upon overcoming systemic barriers, including data fragmentation, regulatory gaps, and the persistent digital divide, which require a coordinated, multi-stakeholder strategic response to ensure that the benefits of inclusive green finance are shared equitably across the global economy (Galeone et al., 2024; Liu et al., 2022).

Keywords

FinTech, Green Finance, ESG Performance, Sustainable Development, Blockchain, Carbon Performance, Information Asymmetry

1. Introduction

The global transition toward a low-carbon, environmentally friendly economy has necessitated a massive mobilization of capital toward green initiatives. While the 2016 Paris Agreement set clear climate goals, a significant "green finance gap" persists, with global financial flows falling short of the estimated USD 3 trillion annual requirement (Albert et al., 2025). Traditional financial systems have largely failed to meet this challenge due to systemic inefficiencies, including low transparency, high transaction costs, and a failure to adequately integrate Environmental, Social, and Governance (ESG) considerations into core decision-making (Galeone et al., 2024). In emerging economies, such as the E7 and BRICS nations, these barriers are compounded by devastating fiscal burdens and a lack of economic resilience, which hinder the acquisition of energy-efficient technologies (Liu et al., 2022; Udeagha & Muchapondwa, 2023).

In response, Financial Technology (FinTech) has emerged as a disruptive force capable of addressing these core problems. FinTech-defined as technology-enabled innovation in financial services-offers a fundamental shift toward decentralization, transparency, and automation (Udeagha & Muchapondwa, 2023). By leveraging digital tools such as blockchain, artificial intelligence (AI), and big data analytics, FinTech innovations have the potential to re-engineer the financial system's capacity to meet sustainability demands (Galeone et al., 2024). Empirical evidence suggests that FinTech acts as an "accelerator" of sustainable economic growth, specifically strengthening the positive relationship between ESG disclosure and actual corporate carbon performance (Albert et al., 2025).

The convergence of FinTech and ESG investing is particularly transformative because it mitigates the "principal-agent" problem and reduces information asymmetry (Gao et al., 2024). Traditional finance is often plagued by "greenwashing," where firms disclose misleading environmental data; however, FinTech improves the credibility and traceability of ESG information, ensuring that capital is allocated to truly sustainable enterprises (Albert et al., 2025; Gao et al., 2024). Furthermore, the adoption of FinTech is not merely a technical upgrade but is often driven by "social influence" and institutional pressure to align with global sustainability norms (Galeone et al., 2024).

This paper analyzes the revolutionary potential of FinTech and offers a thorough and critical analysis of how it is changing the landscape of green finance and ESG investing. By comparing the bureaucratic, centralized, and opaque aspects of traditional finance with the data-driven capabilities of digital innovation, this study examines both the obstacles to be addressed- such as regulatory gaps- and the transformative opportunities for future growth (Gao et al., 2024; Liu et al., 2022).

By answering the following important questions, this study seeks to explore the relationship between FinTech, green finance, and ESG investments:

1. Which FinTech applications are most critical for enabling sustainable investments and green finance?
2. In what ways do these applications improve the sustainable finance ecosystem's inclusion, efficiency, and transparency, particularly in developing regions?
3. What are the biggest risks and obstacles to FinTech acceptance, such as the digital divide and the need for refined transaction systems?
4. How will this convergence develop in the future, and what are the strategic ramifications for investors and legislators?

This study adds a synthesized, multidisciplinary viewpoint to the expanding corpus of literature on Green FinTech. Rather than a compartmentalized study of specific technologies, it offers a comprehensive view of the FinTech-Green Finance ecosystem. By highlighting causal links-such as how FinTech promotes "ambidextrous innovation" within firms-this research provides practical insights for stakeholders and lays out a clear course for future research (Gao et al., 2024).

2. Review of the Literature: Dissecting the FinTech-Green Finance Nexus

2.1 Defining Green Finance and Green FinTech's Scope.

"Green finance" (GFN) refers to specialized financial instruments, such as green bonds, green credits, and green insurance, designed to support eco-friendly projects involving clean technologies, climate-resilient infrastructure, and renewable energy (Udeagha & Muchapondwa, 2023). Its primary responsibility is to ensure that global capital flows align with sustainability objectives-specifically the United Nations Sustainable Development Goals (SDGs) and the Paris Agreement-by incorporating environmental, social, and governance (ESG) considerations into core financial decision-making (Albert et al., 2025; Liu et al., 2022). ESG criteria serve as a critical framework for investors to evaluate a company's long-term sustainability and non-financial performance, examining governance structures, social equity, and environmental footprint to mitigate long-term risks (Galeone et al., 2024).

The rapid development of FinTech-the application of innovative technologies to provide financial services-has led to the emergence of "Green FinTech" (GFT). Specifically, Green FinTech refers to technology-driven financial solutions that align capital allocation with environmental objectives, moving beyond traditional profit maximization to address ecological challenges (Galeone et al., 2024). Despite its rising importance, bibliometric analyses suggest that the field remains a "fragmented puzzle of concepts," where research often concentrates on "green" and "technology" components independently rather than as an integrated ecosystem (Galeone et al., 2024). However, current literature emphasizes that finance acts as the essential "bridge" connecting these two fields to achieve global carbon neutrality (Albert et al., 2025; Udeagha & Muchapondwa, 2023).

In large economies, particularly the BRICS and E7 nations, this concept has become highly strategic. For these regions, Green FinTech is not merely a technical upgrade but a vital necessity to overcome "financial mismatch"-a condition where capital is locked in high-polluting industries due to information asymmetry and lack of transparency (Gao et al., 2024; Liu et al., 2022). By leveraging digital platforms, Green FinTech reduces the "principal-agent" problem between firms and financial institutions, allowing for more precise monitoring of carbon performance and ensuring that green capital is allocated to truly sustainable enterprises (Albert et al., 2025; Gao et al., 2024).

2.2 FinTech Uses as Green Finance Facilitators

The primary FinTech applications that are increasing ESG investments and streamlining the flow of capital toward environmentally friendly projects are examined in this section. Within the digital finance ecosystem, technology acts as an "accelerator" of sustainable development by bridging the gap between available capital and green initiatives (Galeone et al., 2024). Each technology addresses a different structural weakness in the traditional banking system, particularly the high monitoring costs and "financial mismatch" often seen in emerging economies (Gao et al., 2024; Liu et al., 2022).

2.2.1 Blockchain Technology: Improving Traceability and Openness

A decentralized, unchangeable ledger called blockchain provides an impenetrable record of data and transactions. Its fundamental features-distributed consensus, immutability, and real-time verification-make it especially appropriate for data-intensive procedures and financial instruments that require a high degree of compliance (Galeone et al., 2024). One important use case is tokenization, or the digitization of green bonds and credits. Historically, the green finance market has struggled with high transaction costs and a lack of transparency, which often deters institutional investors; however, blockchain innovation directly addresses these barriers by lowering the cost of issuance and verification (Liu et al., 2022; Udeagha & Muchapondwa, 2023).

A key component of blockchain technology is the "smart contract," which can automate compliance by guaranteeing that money is only allocated to pre-approved sustainable projects, such as renewable energy infrastructure or energy-efficient technology (Galeone et al., 2024). This automation reduces the administrative burden and transaction costs that frequently hinder green investments in E7 economies (Liu et al., 2022). In addition to streamlining the procedure, this technology creates a permanent, publicly verifiable record of all transactions and sustainability metrics. For instance, the successful issuance of blockchain-based green bonds by major financial institutions like the European Investment Bank has demonstrated how technology can foster a more reliable and effective market (Galeone et al., 2024).

Additionally, blockchain offers a transparent and safe framework for carbon credit trading system management. Because of its centralized, inefficient, and opaque management, the traditional carbon market has drawn criticism for problems like imprecise data recording and "double counting" of emissions reductions. By offering an immutable carbon credit ledger, blockchain ensures the authenticity and traceability of carbon offsets, which is crucial for nations like the BRICS to achieve their carbon neutrality targets (Udeagha & Muchapondwa, 2023).

Blockchain’s main benefit in green finance goes beyond simple transparency; it acts as a direct technological deterrent to greenwashing. Greenwashing-the exaggeration of environmental benefits to attract capital-undermines investor confidence and leads to the misallocation of resources (Albert et al., 2025; Gao et al., 2024). By integrating blockchain with Internet of Things (IoT) sensors, sustainability claims are supported by verified, real-time data rather than subjective, self-reported estimates (Albert et al., 2025). This establishes a new causal chain: actual environmental data is entered into an unchangeable ledger, reducing information asymmetry, boosting investor confidence, and enabling more effective funding distribution to legitimate green projects (Gao et al., 2024). Instead of depending on inconsistent self-regulation, the integrity of the carbon and green bond markets is now enforced by the underlying technology (Galeone et al., 2024; Udeagha & Muchapondwa, 2023).

2.2.2 Artificial Intelligence (AI) and Big Data: Revolutionizing ESG Assessment

The systemic shortcomings of current ESG rating systems-which frequently suffer from human bias, methodological inconsistency, and a lack of transparency-are being fundamentally transformed by Artificial Intelligence (AI), specifically through Machine Learning (ML) and Natural Language Processing (NLP) (Gao et al., 2024). By processing large and varied datasets at speeds unattainable by conventional analysts, AI-driven ESG scoring models can standardize evaluations and offer real-time sustainability insights (Galeone et al., 2024). This technological shift is essential because traditional "static" ESG disclosures often fail to reflect a firm's true environmental impact, leading to a "green finance gap" where capital is misallocated (Albert et al., 2025; Liu et al., 2022).

One of the most critical functions of AI is its capacity to synthesize data from a vast array of heterogeneous sources. Beyond structured corporate financial reports, AI can ingest unstructured data such as global news articles, social media sentiment, and independent NGO reports (Galeone et al., 2024). Furthermore, AI can integrate high-frequency data sources, such as IoT sensors to track carbon emissions in real-time or satellite imagery to monitor deforestation and land use (Albert et al., 2025). This multi-source data aggregation directly addresses the issue of "information asymmetry," where management possesses more information about a firm's environmental footprint than external investors, a common challenge in BRICS and E7 economies (Gao et al., 2024; Liu et al., 2022).

AI is also a vital tool for detecting anomalies and preventing greenwashing-the practice of making misleading environmental claims to gain a competitive advantage or lower cost of capital (Albert et al., 2025; Gao et al., 2024). AI algorithms can be trained to identify internal discrepancies in corporate reports, cross-referencing self-reported metrics with third-party data to flag exaggerated claims. Empirical evidence suggests that FinTech adoption has a significant "moderating effect," strengthening the positive relationship between high-quality ESG disclosure and actual carbon performance (Albert et al., 2025). By using transparent, consistent scoring guidelines, AI reduces the "rating divergence" between agencies, thereby increasing the objective credibility of ESG ratings (Galeone et al., 2024).

The evolution of AI in green finance extends beyond static assessment into predictive modeling. By utilizing big data analytics, investors and businesses can anticipate future environmental risks and make proactive strategic adjustments (Galeone et al., 2024). This enables a shift from evaluating historical, "lagging" indicators to foreseeing "leading" risks, such as potential climate-related financial stress or supply chain vulnerabilities (Albert et al., 2025). Furthermore, FinTech-driven AI models promote "ambidextrous innovation" within firms, encouraging them to balance current environmental efficiencies with long-term green exploration (Gao et al., 2024). Ultimately, AI introduces a layer of data-driven enforcement that establishes a new paradigm of accountability, ensuring that corporate sustainability claims are objectively verifiable and performance-based (Albert et al., 2025; Udeagha & Muchapondwa, 2023).

2.2.3 Decentralized Finance (DeFi) and Crowdfunding: Democratizing Capital Mobilization

By avoiding conventional financial middlemen, Decentralized Finance (DeFi) and crowdfunding platforms are significantly reducing the entry barriers for green investments. This disruption increases access to a larger pool of investors and business owners by democratizing capital mobilization and addressing the "financial resource deficiency" often found in E7 economies (Liu et al., 2022). By tokenizing green assets, DeFi protocols facilitate inclusive green investments and allow for the fractional ownership of large-scale projects, such as renewable energy infrastructure, which were historically accessible only to institutional investors (Galeone et al., 2024; Liu et al., 2022). These platforms lower minimum investment requirements, enabling small and medium-sized businesses (SMEs) and individual investors to participate in sustainable projects that were previously unattainable due to high capital intensity (Galeone et al., 2024).

In a similar vein, crowdfunding platforms offer a mechanism to aggregate modest donations or investments from a global audience. FinTech serves as a primary driver for democratizing access to capital and promoting financial inclusion, as evidenced by its ability to facilitate "green growth" through the funding of decentralized projects like solar micro-grids in underserved communities (Liu et al., 2022; Udeagha & Muchapondwa, 2023). These technologies have an impact that goes beyond simple capital mobilization; they directly address the UN Sustainable Development Goals (SDGs)-particularly SDG-7 (Affordable and Clean Energy)-and the social ("S") and governance ("G") pillars of ESG (Galeone et al., 2024; Liu et al., 2022).

The adoption of these decentralized platforms is often influenced by "social influence" and "facilitating conditions," as explained by the Unified Theory of Acceptance and Use of Technology (UTAUT) (Galeone et al., 2024). When financial institutions and communities perceive that digital tools make green investing easier and more socially acceptable, the rate of adoption increases, thereby enhancing the overall energy efficiency of the region (Galeone et al., 2024; Liu et al., 2022). Furthermore, these platforms facilitate greater engagement in sustainable economic activities by offering financial services to underserved or previously unbanked populations, establishing a direct causal link between inclusive green growth and digital financial inclusion (Udeagha & Muchapondwa, 2023). By reducing "fiscal burdens" through decentralized funding, FinTech ensures that the transition to a low-carbon economy is both technologically advanced and socially equitable (Liu et al., 2022; Udeagha & Muchapondwa, 2023).

Table 1: FinTech Applications in Green Finance: Opportunities and Challenges

2.3 Critical Analysis of Challenges and Risks

The disruptive potential of Fintech is counterbalanced by complex systemic issues that must be resolved to guarantee its long-term integrity, effectiveness, and alignment with global sustainability goals. These difficulties frequently reflect the "double-edged sword" nature of digital financial innovation; while technology offers the tools to bridge the green finance gap, it simultaneously introduces new vectors for risk, exclusion, and market distortion (Galeone et al., 2024; Liu et al., 2022). A critical analysis of these risks reveals that the success of the Fintech-Green Finance nexus is not guaranteed by technical sophistication alone but is contingent upon the quality of data, the robustness of regulatory oversight, and the narrowing of the global digital divide (Albert et al., 2025; Udeagha & Muchapondwa, 2023).

2.3.1 The Persisting Threat of Greenwashing

Greenwashing-the practice of making deceptive or exaggerated claims about the environmental benefits of a product, service, or corporate strategy-remains a significant barrier to investor confidence and efficient capital allocation (Gao et al., 2024). Even with the advanced monitoring capabilities provided by blockchain and artificial intelligence, the "informational advantage" held by corporate managers often leads to moral hazard and the strategic manipulation of ESG disclosures (Albert et al., 2025). This is particularly prevalent in energy-intensive industries within the BRICS nations, where firms may use Fintech adoption as a "symbolic" signal of sustainability to lower their cost of capital without achieving substantive carbon reductions (Albert et al., 2025; Udeagha & Muchapondwa, 2023).

The fundamental issue of data fragmentation and the dearth of standardized reporting frameworks allows this risk to persist. Although technologies like IoT sensors and AI are capable of verifying physical emissions data, their efficacy is fundamentally dependent on the "garbage-in, garbage-out" principle (Galeone et al., 2024). For instance, if green bonds are tokenized on a blockchain without rigorous, independent third-party verification of the underlying assets, the ease of digital issuance may inadvertently create a market of "digital lemons"-assets that appear green on the ledger but fund carbon-intensive activities in reality (Galeone et al., 2024; Liu et al., 2022). This highlights a critical theoretical tension: while Fintech aims to reduce information asymmetry, it can also be used to create "high-tech greenwashing" where complex algorithms obscure the lack of genuine environmental performance (Gao et al., 2024). Consequently, the transition from "subjective disclosure" to "objective verification" requires a regulatory environment that mandates the integration of real-time environmental data into financial ledgers (Albert et al., 2025).

2.3.2 Regulatory Gaps and Compliance Hurdles

There is a sizable "regulatory gap" because the rapid pace of Fintech innovation consistently outpaces the development of oversight frameworks. This lag creates a "grey zone" where issues of money laundering, fraud, and systemic threats to financial stability can proliferate (Udeagha & Muchapondwa, 2023). In many E7 and BRICS economies, the absence of clear, uniform, and interoperable frameworks for digital green finance across jurisdictions hampers widespread institutional adoption (Liu et al., 2022; Udeagha & Muchapondwa, 2023). Without harmonized standards, green Fintech applications face significant "compliance hurdles" when operating across borders, as a tokenized green asset recognized in one region may be legally ambiguous in another (Galeone et al., 2024).

Furthermore, the "unified theory of acceptance and use of technology" (UTAUT) suggests that "facilitating conditions"-such as government support and clear legal definitions-are essential for the banking sector to fully embrace Green Fintech (Galeone et al., 2024). Currently, many financial regulators are only in the nascent stages of investigating frameworks for tokenized securities, and the lack of specific regulations for "Green Fintech" often leaves investors exposed to high levels of environmental and financial risk (Galeone et al., 2024; Udeagha & Muchapondwa, 2023). For policymakers, the challenge lies in drafting regulations that are robust enough to prevent market manipulation without being so rigid that they stifle the "ambidextrous innovation" necessary for the green transition (Gao et al., 2024). The lack of international coordination on what constitutes a "green" digital asset continues to lead to capital flight and inefficient resource allocation (Liu et al., 2022).

2.3.3 Data Fragmentation and Quality

The absence of standardized ESG reporting frameworks is a fundamental problem that hinders investors' ability to accurately evaluate corporate performance and causes severe comparability issues across different markets (Albert et al., 2025). Data quality is the "Achilles' heel" of Green Fintech; even the most sophisticated AI and machine learning models can produce biased or incorrect outputs if they are trained on inconsistent or self-reported corporate data (Gao et al., 2024; Galeone et al., 2024). In many cases, ESG ratings from different agencies show a low correlation because they utilize different weightings and qualitative metrics, a problem that AI alone cannot solve without a standardized data foundation (Galeone et al., 2024).

The issue of "subjective methodologies" in ESG assessment is particularly acute in developing nations, where corporate transparency levels vary significantly (Udeagha & Muchapondwa, 2023). To ensure the effectiveness of AI and big data in ESG scoring, there is an urgent need for open-access data platforms and standardized collection protocols that move beyond "lagging" financial indicators to "leading" environmental metrics, such as real-time methane leaks or carbon intensity per unit of revenue (Albert et al., 2025). Without a steady base of trustworthy, granular, and timely data, the promise of objective, AI-driven analytics remains unfulfilled, and the risk of "automated bias" in credit allocation toward green projects remains high (Gao et al., 2024; Liu et al., 2022).

2.3.4 The Digital Divide and Financial Exclusion

The "digital divide" represents a significant moral and structural obstacle to the promise of inclusive green finance. While Fintech has the theoretical potential to democratize access to capital, the adoption of these technologies is often restricted to regions with advanced digital infrastructure and high levels of digital literacy (Liu et al., 2022). In many parts of the BRICS and E7 nations, limited access to stable internet, smartphones, and digital banking platforms means that the same innovations that empower urban investors may continue to exclude rural populations and small-scale farmers who are most vulnerable to climate change (Udeagha & Muchapondwa, 2023; Liu et al., 2022).

This divide creates a "stratified" green finance ecosystem where large, tech-savvy corporations benefit from lower costs of capital through Fintech platforms, while small and medium-sized enterprises (SMEs) are left behind due to a lack of "digital readiness" (Gao et al., 2024; Liu et al., 2022). Furthermore, the "social influence" factor in technology adoption implies that if Fintech is perceived as a tool only for the elite or highly regulated financial centers, it will fail to achieve the broad-based "financial inclusion" required for a just transition (Galeone et al., 2024). Addressing this requires stakeholders to invest not just in the "green" aspects of Fintech, but in the underlying digital infrastructure and education that ensure the advantages of the digital revolution are shared equitably (Udeagha & Muchapondwa, 2023). Without deliberate intervention, Fintech could paradoxically exacerbate existing socio-economic inequalities while attempting to solve environmental ones (Liu et al., 2022).

3. Significance, Implications, and Future Scope

3.1 The Significance of FinTech for Global Climate Goals