国际智能经济与治理创新论坛在华东理工大学举行 ESG数据治理与智能决策受关注

Summary: The article's core argument is that intelligent-economy governance must redesign the allocation of control rights among data, algorithms, and organizations while acknowledging the incompleteness of contracts.

1. Forum information: On October 15, East China University of Science and Technology (ECUST) held the 5th 'Contracts and Governance in the Digital Economy' Seminar and the 2026 'International Industry-University-Research Conference on Intelligent Economy and Governance Innovation Forum'; Oliver Hart delivered a keynote speech.

2. Theoretical points: Contracts cannot cover all future contingencies, and the allocation of residual control rights determines governance efficiency. Once data becomes a factor of production and AI becomes a decision-making tool, the boundaries of data assets, the consequences of algorithmic decisions, and cross-party rights and responsibilities become harder to define ex ante.

3. Launched products: The ECUST-iBEST ESG-AI series of platforms was released, including the ECUST-Wind ESG Database and Rating Index for Four Industries Including Chemicals, the Ruika ESG-AI Agent, and the Ruika Zhidao AI-ESG Smart Sandbox.

4. Cases and policy: Ebrun Think Tank, using Guolian Co., Ltd. and Jinlianchuang as samples, proposed a 'corporate governance-industrial governance-regional governance' framework; Jiangxi's '1269' Action Plan treats the industrial brain as a digital foundation and offers up to RMB 10 million in awards and subsidies.

Summary: Although the article does not directly address brand marketing or consumer trends, it provides ESG data, rating indices, and intelligent decision-making tools that can serve as references for managing and communicating brand ESG performance.

1. ESG brand support: The ECUST-iBEST ESG-AI series released the ECUST-Wind ESG Database and Rating Index for Four Industries Including Chemicals, which companies can use to understand ESG data governance and rating logic.

2. Intelligent decision-making tools: The Ruika ESG-AI Agent and Ruika Zhidao AI-ESG Smart Sandbox point to ESG data governance and intelligent decision-making and can be used to simulate decision scenarios.

3. Governance and collaboration: Hart's incomplete-contract theory suggests that data-asset boundaries, the consequences of algorithmic decisions, and cross-party rights and responsibilities are difficult to specify ex ante; brand-related data cooperation should focus on the allocation of residual control rights.

4. Industry cases: Guolian uses transaction data to drive cloud factories and 'de-core' supply-chain finance, while Jinlianchuang uses third-party valuation benchmarks to build industrial credit infrastructure. This shows that combining data capabilities with scenario capabilities matters more than standalone technology investment.

Summary: Sellers should focus on policy support, changes in platform models, and data-governance risks. The article provides examples of industrial-brain subsidies and industrial-internet platform governance.

1. Policy opportunities: Jiangxi is advancing the '1269' Action Plan, positioning the industrial brain as a digital foundation connecting the industrial chain, supply chain, and policy chain, with up to RMB 10 million in awards and subsidies for industrial-brain development around leading industries.

2. Model changes: Industrial-internet platforms have evolved from transaction matchmakers into new governance entities carrying dual attributes of platform-economy governance and AI governance.

3. Learnable models: Guolian uses transaction data to drive cloud factories and 'de-core' supply-chain finance; Jinlianchuang uses third-party valuation benchmarks to build industrial credit infrastructure. Their different paths both point to combining data capabilities with scenario capabilities.

4. Risk alert: In the intelligent economy, contract incompleteness is amplified. Data-asset boundaries, consequences of algorithmic decisions, and cross-party rights and responsibilities are hard to divide ex ante; residual control rights over data-use boundaries determine whether collaborative governance can be established.

Summary: Factories can identify business opportunities in digital governance and production collaboration from cases such as cloud factories, industrial brains, and ESG databases.

1. Production collaboration opportunities: Guolian uses transaction data to drive cloud factories and 'de-core' supply-chain finance, showing that factories can participate in production coordination and financial support through platform transaction data.

2. Industry data tools: The ECUST-iBEST ESG-AI series released the ECUST-Wind ESG Database and Rating Index for Four Industries Including Chemicals; factories in chemicals and other industries can monitor ESG data and rating requirements.

3. Intelligent simulation products: The Ruika ESG-AI Agent and Ruika Zhidao AI-ESG Smart Sandbox point to ESG data governance and intelligent decision-making, offering tool references for factories' digital decision-making.

4. Policy and foundation: Jiangxi treats the industrial brain as a digital foundation connecting the industrial chain, supply chain, and policy chain, with up to RMB 10 million in awards and subsidies. This suggests that factories can watch for digital-upgrade opportunities in regional industrial-brain development.

Summary: Service providers should focus on new technologies, customer pain points, and platform-based solutions in intelligent-economy and ESG governance.

1. Industry trend: The forum placed Hart's incomplete-contract theory in the context of intelligent-economy governance. As data becomes a factor of production and AI becomes a decision-making tool, governance structures need to be redesigned.

2. Customer pain points: Data-asset boundaries are hard to define ex ante, the consequences of algorithmic decisions are hard to specify ex ante, and cross-party collaboration rights and responsibilities are hard to divide ex ante. Contract incompleteness is sharply amplified.

3. Solutions: ECUST released the ECUST-iBEST ESG-AI series of platforms, including an ESG database and rating index, an ESG-AI agent, and an AI-ESG smart sandbox, covering data foundations, intelligent tools, and simulation-based decision-making.

4. Industry framework: Ebrun Think Tank, using Guolian and Jinlianchuang as samples, proposed a three-tier 'corporate governance-industrial governance-regional governance' framework and emphasized combining data capabilities with scenario capabilities rather than standalone technology investment.

Summary: Marketplace sellers should focus on platform role upgrades, data control-right allocation, and operational implications of industrial-brain policy.

1. New platform role: Industrial-internet platforms have evolved from transaction matchmakers into new governance entities carrying dual attributes of platform-economy governance and AI governance.

2. Latest practices: Guolian uses transaction data to drive cloud factories and 'de-core' supply-chain finance; Jinlianchuang uses third-party valuation benchmarks to build industrial credit infrastructure. This shows that platforms need to combine data capabilities with scenario capabilities.

3. Operations and governance: When data flows across parties, who holds residual control rights over data-use boundaries determines whether collaborative governance can be established. Platforms need to address data-asset boundaries, algorithmic consequences, and cross-party rights and responsibilities that are difficult to specify ex ante.

4. Policy direction: Jiangxi's '1269' Action Plan positions the industrial brain as a digital foundation connecting the industrial chain, supply chain, and policy chain, with up to RMB 10 million in awards and subsidies. Platforms can watch for opportunities in regional industrial-brain development, investment promotion, and operations.

Summary: Researchers should focus on the extension of incomplete-contract theory into intelligent-economy governance, ESG intelligent platforms, and analytical frameworks for industrial governance.

1. New theoretical questions: Hart's incomplete-contract theory emphasizes that contracts cannot cover all future contingencies and that the allocation of residual control rights is key. Data factors and AI decision-making amplify the incompleteness of data-asset boundaries, algorithmic consequences, and cross-party rights and responsibilities.

2. Platforms and frameworks: The ECUST-iBEST ESG-AI series integrates incomplete-contract theory, sustainable-development theory, ESG governance frameworks, and AI technology. Wu Yuming's '1531' framework integrates Hart's incomplete-contract governance, Nordhaus's green economics, and UN sustainable-development theory.

3. Industry analytical framework: Ebrun Think Tank, using Guolian and Jinlianchuang as samples, proposed a three-tier 'corporate governance-industrial governance-regional governance' framework and judges that industrial-internet platforms have become new governance entities.

4. Policy implications: Jiangxi's '1269' Action Plan uses the industrial brain as a digital foundation and provides up to RMB 10 million in awards and subsidies, offering a platform-based data-infrastructure approach to incomplete-contract problems in regional industrial governance.