From DAO to NGO+: Governance Evolution of Decentralized Autonomous Organizations, Non-Profit References, and ESG Integration Exploration

Author: Fugui, LXDAO

1. Development of DAO and Evolution of Governance

1.1 History of DAO and Key Events

The concept of DAO (Decentralized Autonomous Organization) was proposed by Ethereum founder Vitalik Buterin in 2014 as an extension of Daniel Larimer's DAC (Decentralized Autonomous Company). Its earliest application can be traced back to the famous "The DAO" project in 2016, which quickly raised over $150 million through token crowdfunding but lost nearly $50 million due to a smart contract vulnerability, leading to a hard fork of Ethereum. Although this event brought setbacks to DAO, it also prompted the community to reflect on governance mechanisms and security. Subsequently, a new generation of DAOs represented by MakerDAO (which launched the DAI stablecoin in 2017), Aragon, MolochDAO, and MetaCartel DAO emerged, rapidly spreading the DAO concept in decentralized finance (DeFi) and open governance. DAO organizations have evolved from initially being single projects to platforms that provide governance frameworks. According to DeepDAO's 2024 data, the number of active DAOs worldwide has exceeded 10,000, with a total asset value of $40.1 billion (CCN, March 2024).

1.2 General Organizational Structure of DAO

Structurally, DAOs are typically "network communities without a corporate shell or fixed office." DAOs do not have traditional directors or employees; their governance rules and decision-making processes are encoded in smart contracts on the blockchain, executed and supervised collectively by token holders. For example, the funding for DAOs often comes from token holders or investors, and all transactions and proposals are publicly recorded on-chain, achieving high transparency. Token holders are both investors in the DAO and voting entities, voting on proposals on-chain, with governance parameters (such as protocol fees and funded projects) decided through token voting. Meanwhile, to address the issue of individual token holders being unable to participate in voting throughout the process, many DAOs (such as MakerDAO) have introduced a delegated voting mechanism: token holders can delegate their voting rights to others, enhancing governance efficiency. Overall, the organizational structure of DAOs exhibits characteristics of high decentralization, transparency, auditability, and community-driven governance.

1.3 Governance Mechanism and Evolution of MakerDAO

Taking MakerDAO as an example, its governance model reflects an important path of DAO evolution. MakerDAO was initiated by Rune Christensen in 2015, with the core function of issuing a decentralized stablecoin DAI pegged to the US dollar. MakerDAO adopts a dual-token model: MKR serves as the governance token, and holders vote to decide key parameters (such as stability fees, collateral types, and risk parameters); users generate DAI by collateralizing crypto assets into smart contracts, thus driving the operation of the stablecoin. Traditionally, MakerDAO's on-chain proposals and decisions were put forward by core teams such as the "Maker Foundation," but as the community developed, governance rights gradually transitioned to the on-chain public holders. In 2021, the Maker Foundation transferred 84,000 MKR (valued at $530 million) of the development fund to the DAO governance contract, allowing MKR holders to jointly decide on the use of funds: MKR holders began to propose governance proposals and participate in multiple rounds of voting. To reduce governance complexity and concentration risk, MakerDAO adopted a "progressive decentralization" strategy, introducing "delegated voting" and supporting multiple stability fee mechanisms, enhancing participation flexibility.

Entering 2022-2024, the "MakerDAO Endgame" proposal initiated the next phase of governance restructuring: by launching SubDAOs to modularize MakerDAO. In the second phase of Endgame, MakerDAO plans to deploy the first six SubDAOs, divided into "Facilitator DAO" and "Allocator DAO": the former focuses on governance process management, while the latter is responsible for the allocation of new collateral and operational efficiency. Each SubDAO has independent governance tokens and community operations, making decisions within a smaller scope, with their operational results included in the main DAO's ledger. This move aims to "streamline MakerDAO governance, reduce operational complexity, and disperse risks." In other words, MakerDAO is evolving from an initial single core team governance model to a modular governance system "macro-controlled by MKR holders, with each SubDAO executing independently." The introduction of the SubDAO structure represents an innovative attempt at large-scale decentralized organizational governance: by dividing responsibilities among specialized branch entities, governance becomes more flexible and professional while still retaining the ultimate control of MKR holders. It is foreseeable that MakerDAO's exploration may become a new paradigm for managing complex protocols and innovative expansions in the DeFi field.

2. Development Experience of NGOs and Case Study of GiveWell

2.1 Origins and Governance Logic of NGOs

Non-Governmental Organizations (NGOs) are an important component of civil society, emerging in the late 19th century, with a formal definition appearing in the United Nations framework after World War II (Article 71 of the 1945 UN Charter first mentioned NGOs). NGOs are typically independent non-profit groups supported by volunteers and donors, aiming to promote social or environmental welfare. The UN officially defines NGOs as "non-profit, voluntary groups organized for the public good." They cover various fields such as human rights, health, environmental protection, and poverty alleviation, with some even acting as advocates and overseers of corporate and government policies. Broadly defined, DAO organizations are naturally NGOs.

In governance, NGOs emphasize mission orientation and checks and balances: on one hand, they organize activities around their mission and beneficiary groups, focusing on project outcomes rather than profits; on the other hand, to ensure public trust and the reasonable use of resources, good NGO governance requires establishing a clear internal checks and balances system. Specifically, organizations usually have a dual structure of a board of directors (or council) and management, with the board responsible for strategic decisions and oversight, while management handles daily operations. This ensures that no single person or team can monopolize power, and that organizational resources are used for public service rather than internal interests. Efficient NGOs also publicly disclose financial and operational information, establishing external audit and evaluation mechanisms to respond to donor and public oversight. For example, an NGO governance manual providing operational advice states: "Good governance means that organizations should have clear power and function allocations… and ensure that public interests are maintained through internal checks and balances." Overall, the governance culture of NGOs emphasizes transparency, accountability, and mission priority, which is distinctly different from traditional corporate governance.

2.2 Case Study of GiveWell: Mission and Division of Labor

GiveWell is a charity evaluation organization founded in 2007, representing a model of an efficient non-profit organization. Founded by two financial industry professionals, GiveWell adheres to the mission of "helping donors do the most good" by concentrating resources and conducting rigorous analyses to recommend a limited number of "high-impact" charitable projects. Unlike most charitable organizations, GiveWell does not advocate for the lowest cost expenditures but measures the "life-saving" effect of every dollar spent, emphasizing results-oriented approaches. They publicly promote the independence and transparency of their research: all evaluation processes and data are made freely available for anyone to review.

In terms of organizational structure, GiveWell's governance clearly follows the NGO model: its staff team is divided into multiple departments based on functions— for example, the CEO's office is responsible for strategy, the research department is organized by topics (malaria, nutrition, vaccines, etc.), the operations department handles finance, human resources, technology, and the outreach department manages fundraising and public communication. The board of directors is composed of well-known philanthropists, such as Cari Tuna, co-founder of the prominent philanthropic fund Good Ventures, serving as the chair of GiveWell. The board is responsible for overseeing GiveWell's overall strategy and policies, ensuring that its operations align with its mission. Notably, GiveWell emphasizes zero fees, not taking a cut from donations; all operational expenses are covered by unconditional grants from supporters of the organization, with a cap on administrative operating expenses set at 10% of total expenses. If fundraising exceeds its needs, excess funds are fully allocated to recommended charitable organizations. This financial arrangement highlights GiveWell's standard of "putting as much money as possible to good use."

2.3 Transparency and Impact Evaluation Process of GiveWell

A major highlight of GiveWell's governance is its high transparency. The official website has dedicated sections such as "Public Records," "Annual Review," and "Transparency Policy," providing the public with detailed information, including financial statements, operational strategies, and decision-making processes. Its organizational values also explicitly list "transparency" as one of the core principles. GiveWell's evaluation process for each fundraising project is rigorous and multi-step: first, they review independent academic research (such as randomized controlled trials) and consult field experts to confirm whether the project has indeed achieved its goals; then, they build detailed cost-benefit models, continuously refining them through budget and monitoring data to estimate how much improvement each dollar invested can generate (for example, how many lives can be saved); they also conduct interviews and site visits with potential recipient organizations to verify actual execution; evaluations also review the organization's financial transparency and past performance records, ultimately forming written reports and quantitative indicators. After a project receives funding, GiveWell commits to continuously following up on its progress: if they find that the goals cannot be effectively achieved, the team will promptly stop funding support. This entire evidence-based evaluation process ensures the high cost-effectiveness and ongoing supervision of funded projects, distinguishing it from traditional donation evaluation methods that rely solely on self-reported performance by organizations.

2.4 Comparison of GiveWell and DAO Models

Structurally, there are significant differences between NGOs like GiveWell and DAO organizations. On one hand, GiveWell has a clear legal entity and organizational hierarchy: it has a headquarters, employees, and a board of directors, relying on statutory fundraising channels; while DAOs typically do not have formal legal entities, existing entirely on blockchain protocols and token economies, with community members scattered globally participating directly in governance. As mentioned earlier, DAOs do not need to establish directors or managers; all decision-making rules are defined by code and executed through token voting; NGOs rely on human management and oversight. Culturally, NGOs like GiveWell emphasize mission and values, actively engaging in external promotion and donor communication; DAOs, on the other hand, tend to follow open-source and consensus cultures, with autonomous communities focusing on protocol goals through token incentives, where membership depends on token ownership rather than traditional identity verification. Nevertheless, there are also commonalities between the two: for example, GiveWell's emphasis on transparency aligns with the on-chain auditability of DAOs; the public welfare orientation of NGOs and the community autonomy concept of DAOs both pursue the goal of "disintermediation." In the future, combining the professional governance methods of NGOs with the technological advantages of DAOs may lead to new organizational forms.

2.5 Prospects for the Integration of NGOs and DAOs

Although traditional NGOs like GiveWell and DAOs have differences in governance structures, their commonalities in transparency and mission-driven approaches are promoting the integration of organizational forms. This integration is not a one-way evolution but a "two-way approach" process: DAO organizations, due to their long-standing micro-profit nature and public welfare orientation, may naturally evolve into NGO forms in competition with commercial entities, with financial metrics becoming secondary; at the same time, traditional NGOs, driven by the development of blockchain and other network technologies, may also transition to DAO organizational models in response to demands for governance transparency and participation.

From the perspective of the NGO-ification of DAOs, the sustained micro-profit operating model allows these organizations to gradually detach from purely financial profit orientation, instead prioritizing public welfare and social value creation as core evaluation criteria. The collective decision-making mechanism in DAO governance cultivates members' awareness of public interests, and its open-source collaborative culture aligns closely with the knowledge-sharing philosophy of NGOs, while community autonomy practices provide a new organizational paradigm for addressing social issues. The token incentive mechanism also shifts from purely economic returns to value recognition and social impact-driven motivations, making DAOs fundamentally closer to the operational logic of traditional NGOs.

The DAO-ification transformation of traditional NGOs also has intrinsic motivations. Donors' increasing demands for traceability of fund flows can be thoroughly addressed by the immutable characteristics of blockchain, as demonstrated by the pilot of UNICEF CryptoFund. The automatic execution mechanism of smart contracts not only reduces governance costs but also enables conditional release of donations, ensuring precise allocation of funds. More importantly, the board governance model of traditional NGOs struggles to meet the diverse participation needs, while the token governance mechanism of DAOs provides equal decision-making rights for donors, beneficiaries, and volunteers, enhancing the democratic and inclusive nature of organizational decision-making.

This two-way integration is giving rise to hybrid organizational forms of NGO+DAO. The Swiss "association legal entity + on-chain governance" model (such as Aragon entities) has validated the legal compliance path, allowing hybrid entity structures to maintain legal entity status while enjoying the flexibility of DAO governance. In terms of governance mechanisms, this integration can form a layered decision-making system: strategic decisions adopt DAO community voting mechanisms to enhance stakeholder participation in NGOs, while the execution level retains the specialized layered governance experience of NGOs to optimize DAO decision-making quality. In terms of technological empowerment, blockchain technology provides infrastructure support for cross-border donations and project execution, recording all key decisions and fund flows on-chain, while executing specific project activities off-chain, creating an operational structure that balances transparency and professionalism.

Although this hybrid model has clear advantages in optimizing resource allocation, improving governance efficiency, and reconstructing trust mechanisms, it also faces challenges such as regulatory adaptability, technical barriers, and governance complexity. As the maturity of blockchain technology increases and regulatory frameworks improve, the NGO+DAO hybrid model will become an important direction for the development of public welfare organizations, ultimately forming a new public welfare ecosystem characterized by transparency, democracy, and efficiency.

3. Possibilities of Combining ESG Assessment Systems with DAO Governance

3.1 Evolution of the ESG Framework and Core Concepts

ESG refers to the non-financial performance assessment framework encompassing three dimensions: Environmental, Social, and Governance. Its origins can be traced back to the ethical investment and corporate social responsibility concepts of the late 20th century. The idea of avoiding investments in harmful industries was first proposed by religious groups in the 18th century and environmental/social movements in the 20th century; the 1987 UN report "Our Common Future" introduced the concept of sustainable development; in 2004, the UN Global Compact published the report "Who Cares Wins," which formally introduced the term "ESG"; in 2006, the Principles for Responsible Investment (PRI) were launched, providing guidance for investors to incorporate ESG into practice. In recent years, governments and regulators worldwide have also required companies to disclose ESG data, such as the EU's sustainable finance regulations and revisions to the UK's Companies Act, promoting ESG reporting to become mainstream. To standardize information disclosure, various standards and frameworks have emerged: the Global Reporting Initiative (GRI), industry-specific accounting standards (SASB), the EU Corporate Sustainability Reporting Directive (CSRD), and the Task Force on Climate-related Financial Disclosures (TCFD), all guiding companies to report quantitatively or qualitatively on their performance in carbon emissions, diversity, governance structures, and more.

3.2 Balanced Development of Negative and Positive ESG Assessment Indicators

Currently, ESG assessment agencies or organizations often focus their evaluation metrics on negative assessment indicators, such as environmental pollution, labor violations, or corporate governance scandals, due to promotional effects and vested interests. While this approach helps identify risks, it may overlook the positive contributions and innovative values of organizations. However, with the development of sustainable investment concepts, more organizations are beginning to shift their evaluation focus towards positive impact indicators.

For example, some leading rating systems (such as MSCI ESG and Sustainalytics) are introducing quantification and weighted scoring for companies' positive contributions in areas such as renewable energy investment, employee diversity, community building, and green innovation. The introduction of positive indicators not only provides a more comprehensive representation of a company's ESG performance but also offers investors a more forward-looking basis for decision-making. Some studies (such as those in the Harvard Business Review) indicate that companies excelling in social responsibility and environmental innovation often exhibit stronger risk resilience and long-term financial performance.

Therefore, future ESG assessments should evolve towards "double materiality," considering both the positive contributions of companies to society and the environment and their potential negative impacts. This balanced assessment approach aligns more closely with the essential requirements of sustainable development and provides a more suitable evaluation perspective for emerging organizational forms like DAOs.

3.3 Advantages and Innovations of DAOs in the Dimension of Social Responsibility

In the social responsibility dimension, DAOs possess advantages that traditional organizations find difficult to match. The openness and globalization characteristics of DAOs enable them to transcend geographical and identity limitations, providing opportunities for a broader range of stakeholders to participate in governance. Through token economies and incentive mechanisms, DAOs can achieve fairer value distribution, allowing community members to directly share in the benefits of organizational development.

Specifically, the positive impact indicators of DAOs in terms of social responsibility include:

Community Inclusiveness Indicators: The geographical diversity of DAO members, the proportion of participants from different backgrounds, and the extent of decision-making participation. These indicators reflect whether the DAO has truly achieved decentralized governance rather than being controlled by a few large holders.

Knowledge Sharing and Educational Impact: Many DAOs promote knowledge dissemination through open-source code, public research, and community education. Measurement indicators include the number of contributions to open-source projects, the coverage of educational content, and the number of participants in skills training.

Creation of Economic Opportunities: DAOs provide new economic opportunities for remote workers, freelancers, and creators worldwide. Related indicators include the number of members earning income through the DAO, average income levels, and the creation of job opportunities.

Attention to Social Issues: Some specialized social DAOs focus directly on public welfare, such as environmental DAOs, educational DAOs, and medical research DAOs. The impact of these organizations can be measured by the number of beneficiaries, the scale of problems addressed, and the effectiveness of collaboration with traditional charitable organizations.

3.4 Technical Advantages of DAOs in Governance Efficiency Dimension

The governance efficiency dimension (G) is the area where DAOs have the most significant advantages over traditional organizations. The immutability of blockchain technology and the automatic execution capabilities of smart contracts bring unprecedented transparency and efficiency to organizational governance.

Transparency and Auditability: All proposals, voting results, and fund flows of DAOs are recorded on a public blockchain, allowing anyone to verify them in real-time. This "code is law" governance model eliminates the possibility of "black box operations" found in traditional organizations. Related positive indicators include:

• Governance Transparency Score: Based on the degree of information disclosure and traceability of decision-making processes.
• Audit Convenience: The cost and efficiency of external audits.
• Community Supervision Participation: The activity level of community members in supervising and providing feedback on the governance process.

Decision-Making Efficiency and Execution Power: Smart contracts can automatically execute voting results, reducing human intervention and execution delays. The delegated voting mechanism increases governance participation rates, while the modular SubDAO structure (such as MakerDAO's Endgame plan) further enhances specialized decision-making efficiency. Key indicators include:

• Proposal Processing Cycle: The average time from proposal to execution.
• Voting Participation Rate: The proportion of active governance participants among total token holders.
• Decision Execution Success Rate: The proportion of passed proposals that are actually executed.

Risk Management and Compliance: Advanced DAOs employ mechanisms such as multi-signature, time locks, and emergency pauses to manage risks. At the same time, some DAOs are beginning to proactively comply with regulatory requirements and establish compliance frameworks. Related indicators include:

• Frequency of Security Incidents: The frequency of negative events such as smart contract vulnerabilities and fund losses.
• Compliance Level: Adherence to relevant regulations.
• Effectiveness of Risk Control: The effectiveness of risk warning and response mechanisms.

Stakeholder Participation: Token holders in DAOs are both investors and governance participants, naturally achieving broad participation of stakeholders. Impact indicators include:

• Distribution Uniformity of Governance Tokens: Avoiding excessive centralization.
• Participation of Different Types of Stakeholders: The participation of various groups such as developers, users, and investors.
• Cross-Cultural and Cross-Timezone Governance Participation: Reflecting the inclusiveness of global governance.

3.5 Theoretical Basis and Implementation Principles of DAO-ESG Assessment

3.5.1 Theoretical Adaptability Analysis

The traditional ESG framework is primarily designed for traditional enterprises, while the decentralized characteristics of DAOs naturally align with ESG assessment concepts. The on-chain governance transparency of DAOs addresses the information asymmetry issues present in traditional ESG reporting; the token governance mechanism enables direct participation of stakeholders, coming closer to the ideal of multi-faceted governance than traditional enterprises; the borderless nature allows it to generate social and environmental impacts on a global scale, highly aligning with the UN Sustainable Development Goals.

3.5.2 Core Implementation Principles

Data-Driven Principle: Fully utilize the objectivity and completeness of blockchain data to establish a quantitative indicator system based on on-chain data, reducing subjective bias.

Dynamic Adaptation Principle: Different types of DAOs have varying ESG focuses—DeFi protocols emphasize financial stability and inclusiveness, while charitable DAOs highlight social impact, and infrastructure DAOs focus on technical governance. The assessment framework needs to have a flexible weighting adjustment mechanism.

Incentive Compatibility Principle: Combine ESG performance with token distribution, governance weight, and community reputation mechanisms, forming a positive feedback loop where "the better the ESG performance, the more incentives received."

Community Co-Building Principle: Establish a multi-faceted assessment system involving community members, third-party organizations, and industry experts to avoid monopolization of assessment power by a single entity.

3.5.3 Key Challenges and Solutions

Technical Challenges: The standardization of on-chain data is not high, and integrating off-chain ESG data is difficult.
Solution: Develop open-source assessment toolkits and establish cross-chain data standards.

Standardization Challenges: There is a lack of specialized DAO-ESG assessment standards, and the differences among various DAO types are significant.
Solution: Establish a layered assessment system, using a simplified version during the startup phase and a complete version during the mature phase.

Regulatory Adaptability Challenges: Regulatory requirements for DAOs are unclear in various countries, and the legal validity of assessment results is questionable.
Solution: Adopt a gradual advancement strategy, starting with pilot programs and then expanding, establishing a dialogue mechanism with regulatory agencies.

Community Acceptance Challenges: Some community members believe that external assessments conflict with the decentralized philosophy.
Solution: Strengthen ESG education and demonstrate the positive role of assessments in the long-term development of DAOs.

3.5.4 Expected Value

Through systematic ESG assessments, DAOs can enhance social recognition, proving their social value to traditional investors and regulatory agencies; promote industry standardization, providing references for regulatory policy formulation; optimize resource allocation, guiding capital towards quality projects; and facilitate the integration of technology and social welfare, promoting blockchain technology to better serve sustainable development goals.

3.6 Simplified Assessment Framework for DAO-ESG

To address the gap between theoretical construction and practical application in the current ESG assessment of DAO organizations, this paper constructs a systematic simplified assessment framework for DAO-ESG. This framework aims to provide standardized and quantifiable ESG assessment tools for decentralized autonomous organizations, promoting the sustainable development of the DAO ecosystem.

3.6.1 Core Assessment Indicator Construction

Environmental Dimension Indicators

• Blockchain Environmental Footprint: Quantify annual carbon emissions equivalent based on the consensus mechanism, transaction frequency, and energy consumption intensity of the blockchain network used by the organization.
• Proportion of Green Asset Allocation: The proportion of investments in environmentally friendly projects relative to the total assets of the DAO treasury, reflecting the organization's financial commitment to sustainable development.
• Environmental Governance Participation: The number, approval rate, and execution effectiveness of environmentally related proposals, measuring the organization's governance activity on environmental issues.

Social Dimension Indicators

• Governance Inclusiveness Index: A comprehensive indicator constructed based on the geographical distribution, cultural background, and diversity of participation thresholds of members.
• Economic Fairness Coefficient: Quantify the fairness of token distribution and profit-sharing using inequality indicators such as the Gini coefficient.
• Social Value Creation Effect: Assess the organization's positive externalities through the number of open-source contributions, the coverage of charitable projects, and the number of social beneficiaries.

Governance Dimension Indicators

• Information Transparency Score: A comprehensive assessment based on financial disclosure, the openness of decision-making processes, and the ease of information access.
• Democratic Participation Effectiveness: Quantitative analysis of governance processes such as voting participation rates, proposal quality, and decision execution rates.
• System Security Indicators: Coverage of smart contract audits, frequency of security vulnerabilities, and the completeness of risk control mechanisms.

3.6.2 Automated Assessment Process Design

Data Acquisition Mechanism

1. On-Chain Data Collection: Automatically capture native data such as governance voting, fund flows, and transaction records through blockchain API interfaces.
2. Off-Chain Data Integration: Aggregate multi-source data such as GitHub code contributions, Discord community activity, and official website information disclosures.
3. External Data Supplementation: Introduce third-party environmental impact assessment data, industry benchmark data, and regulatory compliance information.

Scoring Algorithm Model

A weighted average method is used to construct a comprehensive scoring model:

DAO-ESG Comprehensive Score = E Dimension Score × αE + S Dimension Score × αS + G Dimension Score × αG

Where the weight coefficients are dynamically adjusted based on the type of DAO:

• DeFi Protocols: αE=0.30, αS=0.35, αG=0.35
• Charitable Organizations: αE=0.20, αS=0.50, αG=0.30
• Governance Tools: αE=0.20, αS=0.30, αG=0.50

Rating Assessment Standards

Establish a five-level assessment system: Excellent (A, 90-100 points), Good (B, 80-89 points), Qualified (C, 70-79 points), Needs Improvement (D, 60-69 points), and Unqualified (E, <60 points).

3.6.3 Technical Implementation Architecture

System Architecture Design

• Frontend Display Layer: Use the React framework to build an ESG data visualization dashboard.
• Business Logic Layer: Backend services based on Node.js handle data analysis and scoring calculations.
• Data Storage Layer: A hybrid storage solution that integrates blockchain data with traditional relational databases.

Functional Modules

• Real-Time Monitoring Module: Dynamically track trends in key ESG indicators.
• Report Generation Module: Automatically output assessment reports that comply with international ESG disclosure standards.
• Comparative Analysis Module: Provide horizontal comparisons and improvement suggestions for similar DAOs.

3.6.4 Framework Validation and Multi-Scenario Application Analysis

Validation of Multi-Type DAO Assessments

To validate the applicability and differentiation of the framework, this study constructs theoretical assessment models for three typical DAOs:

| DAO Type | Environmental Dimension | Social Dimension | Governance Dimension | Comprehensive Score | |-----------------|---------|--------|--------|---------------| | Green Finance DAO | 90 points | 85 points | 88 points | A Level (87.8 points) | | Focused on renewable energy investment, PoS consensus | Clean energy investment | Global diverse participation | High transparency governance | | | Gaming Entertainment DAO | 65 points | 78 points | 72 points | C Level (71.5 points) | | NFT gaming ecosystem, high-frequency trading | High energy consumption but with improvements | High user activity | Good execution efficiency | | | Governance Tools DAO | 75 points | 82 points | 95 points | B Level (84.4 points) | | Provides governance infrastructure | Moderate energy consumption | Technological inclusivity | Innovative governance mechanisms | |

Dynamic Validation: Taking the Green Finance DAO as an example, a 12-month assessment simulation shows that the framework can effectively capture differences in DAO development stages (initial stage 75 points → development stage 85 points → mature stage 88 points).

Core Application Scenarios

Investment Decision Support: ESG investment funds filter quality DAO projects to reduce investment risks.
Regulatory Compliance Tools: Regulatory agencies establish industry ESG standards to promote self-regulation.
Internal Governance Optimization: DAOs conduct self-assessments for improvement, enhancing community cohesion and external trust.
Third-Party Certification: Rating agencies provide professional certifications to promote market standardization.

Framework Evaluation

Core Advantages: Strong technical adaptability, high automation level, and strong dynamic updating capability.
Main Limitations: Difficulty in quantifying off-chain data, standardization needs improvement, and complexity in cross-chain assessments.

Future Research Recommendations

1. Empirical Validation: Select real DAOs for framework testing.
2. Standard Development: Collaborate with international ESG organizations to establish industry standards.
3. Technical Upgrades: Optimize data collection and analysis algorithms.
4. Regulatory Alignment: Improve the compliance indicator system.

4. Conclusion and Outlook

This paper reveals the deep synergistic relationship between DAO organizations in governance evolution, the borrowing of non-profit experiences, and ESG performance assessment through systematic analysis across three dimensions, and identifies the important trend of organizational form integration:

1. Maturation Path of DAO Governance Evolution
   DAOs have gradually evolved from the security and governance vulnerabilities exposed in the early "The DAO" incident to the dual-token model and delegated voting mechanism represented by MakerDAO, further advancing to the modular structure of "Endgame" SubDAOs, achieving a transition from single community governance to a multi-layer governance system with more refined divisions of labor and clearer responsibilities. This evolutionary process reflects the continuous maturation and innovation of DAO governance mechanism design.

2. Borrowing Value of NGO Governance Experience and Two-Way Integration Trend
   The efficient NGO exemplified by GiveWell demonstrates mature practical methods in mission-driven, layered governance, transparency, accountability, and continuous impact assessment. More importantly, the research finds that NGOs and DAOs are undergoing a "two-way approach" integration process: DAO organizations naturally evolve into NGO forms due to their long-standing micro-profit nature and public welfare orientation, with financial metrics yielding to social value creation; while traditional NGOs are transitioning to DAO governance models driven by blockchain technology, seeking higher transparency and participation. This integration gives rise to hybrid organizational forms of NGO+DAO, combining the dual advantages of specialized management and decentralized governance.

3. Adaptability and Innovativeness of ESG Assessment Framework
   The ESG framework has become an important standard for measuring organizational sustainable development, while DAOs possess unique advantages in social responsibility and governance efficiency dimensions. By emphasizing positive impact indicators rather than solely focusing on negative risks, DAOs can better demonstrate their value contributions in promoting social inclusion, enhancing governance transparency, and creating economic opportunities.

Future Outlook:

Deepening Integration of Organizational Forms: The NGO+DAO hybrid model will become an important direction for public welfare and governance innovation. Legal framework innovations such as the Swiss "association legal entity + on-chain governance" provide compliant paths for this integration, and more organizations are expected to adopt layered decision-making systems, achieving an organic combination of on-chain transparency and off-chain professional execution.

Deep Integration of Technology and Governance: In the future, DAOs are expected to introduce more specialized governance mechanisms, such as expert committees, multi-layer decision structures, and risk management systems, while maintaining their decentralized advantages, achieving dual enhancements in technological innovation and governance maturity. The combination of smart contracts and traditional governance practices will create new organizational operating paradigms.

Reconstruction and Customization of ESG Assessment Standards: For emerging forms such as DAOs and NGO+DAO hybrid organizations, more adaptable ESG assessment indicators and methodologies need to be developed, highlighting their unique value and social contributions in the digital economy era. In particular, the on-chain quantification of social impact and real-time monitoring of governance efficiency will become new assessment focuses.

Building a Cross-Boundary Collaborative Ecosystem: Collaboration among DAOs, NGOs, traditional enterprises, and regulatory agencies will become closer, forming a diversified governance ecosystem. This collaboration will not only be limited to resource integration but will also involve mutual learning and innovation in governance models, jointly promoting the achievement of sustainable development goals.

Exploration of Global Governance Models: As the NGO+DAO hybrid model matures, its decentralized and transparent governance concepts are expected to provide new ideas and tools for solving global issues, becoming an important part of global governance in the digital age. This model is particularly suitable for addressing cross-border social issues and the provision of public goods.

Cross-disciplinary empirical research and tool development will be important directions for validating the effectiveness of the aforementioned integration framework and guiding practice. In particular, summarizing best practices of the NGO+DAO hybrid governance model, quantifying methods for positive ESG impact indicators, and designing collaborative mechanisms across organizational forms still require more in-depth research and practical exploration. This trend of integration not only represents innovation in organizational forms but also reflects the development direction of public welfare and social governance in the digital age. ```