Claude Ménard on Institutional Economics and the Governance of Technical Systems

1. Background and Research Focus

Claude Ménard, born in 1944, is a French economist who spent much of his academic career teaching at a major French university and is now an emeritus professor. His main research field is new institutional economics, with a focus on how institutional arrangements influence organizational behavior, resource allocation, and the performance of complex technical systems.

In traditional economic analysis, markets, firms, and governments are often treated as relatively distinct organizational boundaries. Ménard’s work places greater emphasis on the transitional and hybrid forms that are common in the real world. Public services, for example, are often neither fully competitive markets nor activities managed entirely within a single administrative organization. Instead, they involve regulators, operating organizations, suppliers, local authorities, and users.

It is within these complex relationships that the compatibility between institutional rules and technical systems becomes especially important.

Ménard contributed to the creation of international academic organizations in new institutional economics and served in leadership roles within them. His research helped extend institutional economics beyond macro-level institutional analysis toward the intermediate levels of organizational structure, industry governance, and technical operations.

2. Core Questions from the Perspective of New Institutional Economics

New institutional economics argues that economic activity is shaped not only by prices and supply and demand, but also by property rights, contracts, governance structures, legal rules, information distribution, and monitoring costs. Real-world transactions typically involve uncertainty, information asymmetry, and opportunistic behavior. Organizations therefore need institutional arrangements that reduce coordination costs and execution risks.

Ménard further emphasizes that institutions are not abstract collections of rules. They must be embedded in specific organizational and technical environments. Whether an institutional arrangement is effective depends on whether it matches factors such as:

1. The complexity of the technical system;
2. The number and types of participating actors;
3. The clarity of responsibility allocation;
4. The ability to transmit information in a timely manner;
5. The ability to identify, share, and assign responsibility for risks;
6. The enforceability of monitoring and incentive mechanisms.

As a result, the same governance rules may produce very different outcomes in different technical systems. An institutional arrangement that works for a simple business process with clear boundaries may be unsuitable for tightly coupled infrastructure that operates in real time and requires coordination among multiple organizations.

3. The Analytical Value of Meso-Level Institutions

One of Ménard’s important contributions is his emphasis on the role of meso-level institutions in economic activity. Meso-level institutions can be understood as the layer between broad legal institutions and day-to-day organizational operations. They typically exist within industries, regions, networks, or specific governance settings, where they translate general rules into executable coordination mechanisms.

Consider an urban water supply system. At the macro level, laws and regulations may define the basic principles of public service and safety standards. At the micro level, employees may be responsible for operating equipment, recording data, and handling anomalies. Meso-level institutions focus on how water utilities, regulators, maintenance organizations, local authorities, and users divide responsibilities, share information, respond to emergencies, and define service quality and accountability.

Meso-level institutions have several key characteristics.

1. Connecting Macro Rules with Micro-Level Action

Broad laws are designed to apply generally, but they cannot cover every specific situation. Meso-level institutions use industry standards, organizational agreements, process requirements, and monitoring mechanisms to turn general principles into operational arrangements.

2. Adapting to Specific Technical and Business Environments

Meso-level institutions do not simply replicate generic rules. They are adjusted to the technical characteristics, risk structures, and participating actors of a particular industry.

For continuously operating infrastructure, institutional arrangements may need to emphasize real-time monitoring, redundancy, and rapid response. In food safety, by contrast, traceability, inspection, and coordination across organizations may be more important.

3. Managing Multiple Relationships and Responsibility Boundaries

When a system is operated jointly by several organizations, no single participant can usually control all risks independently. Meso-level institutions must clarify who makes decisions, who executes them, who provides information, who bears losses, and how the different parties are monitored and held accountable.

4. Matching Institutional and Technical Layers

In related research and academic lectures, Ménard proposed combining institutional and technical layers in the analysis of complex systems. The technical layer describes equipment, networks, processes, and operating mechanisms. The institutional layer includes legal rules, contractual arrangements, organizational structures, regulatory mechanisms, and systems of responsibility.

The relationship between these two layers generally takes one of three forms.

1. Positive Alignment

When institutional design reflects the operating characteristics of a technical system, the system is more likely to remain stable. For example, critical facilities may use multiple layers of monitoring, tiered response procedures, and clearly defined escalation rules for failures. Technical risks can then be identified promptly, allowing organizations to act quickly.

2. Institutional Lag

Institutional lag occurs when a technical system evolves but its rules, organizational capabilities, and responsibility mechanisms do not change at the same pace.

A system may become highly automated while approval procedures continue to depend on sequential manual confirmation. Data may be generated in real time while the participating organizations still lack mechanisms for sharing it. In such cases, technical capabilities cannot be fully converted into governance capabilities.

3. Institutional–Technical Mismatch

Mismatch is not limited to outdated institutions. It may also arise when institutional requirements become excessively complex, responsibility boundaries conflict with one another, or the organizational structure does not correspond to the system’s technical interdependencies.

If several organizations jointly maintain a system but lack a common standard for diagnosing failures, a local problem can quickly develop into a systemic incident.

5. Institutional Explanations of Infrastructure Failures

Events such as power system outages and railway accidents show that failures are rarely caused by a single damaged component. A technical fault may be the immediate cause, while deeper causes can include inadequate maintenance arrangements, a failure to share risk information, overlapping regulatory responsibilities, unclear emergency procedures, and weak coordination among organizations.

The development of an incident can be summarized as:

Local technical anomaly → Disrupted information flow → Delayed responsibility assessment → Coordination failure → Systemic fault

If analysis focuses only on equipment performance, it may explain where the failure occurred. An integrated institutional and technical analysis asks additional questions:

• Why was the anomaly not detected in time?
• Why did the relevant information not reach key decision-makers?
• Why did an existing warning not trigger an emergency procedure?
• Why did the participating organizations fail to take coordinated action?
• Why was it difficult to determine responsibility afterward?

These questions go beyond conventional engineering failure analysis and require the perspectives of organizational governance and institutional economics.

6. Hybrid Organizations and Real-World Governance Structures

Public services and infrastructure are often delivered by hybrid organizations. These organizations may simultaneously operate under public objectives, commercial constraints, administrative oversight, and professional technical requirements. They are neither purely administrative bodies nor market firms focused exclusively on profit.

The advantage of hybrid organizations is that they can combine different types of resources. Public authorities may contribute policy coordination and social responsibility. Professional operators may provide technical expertise. Market participants may contribute resource-allocation capabilities and efficiency incentives.

However, hybrid organizations also face clear difficulties. Their objectives may conflict, responsibilities may become fragmented, and performance evaluation may lack a common standard.

Hybrid organizations therefore need to develop several mechanisms:

1. Layered objectives: Distinguish among safety, continuity, affordability, and efficiency goals.
2. Responsibility matrices: Clarify decision-making, execution, monitoring, and emergency responsibilities.
3. Information-sharing mechanisms: Ensure that critical data can move promptly among organizations.
4. Risk-sharing mechanisms: Use contracts, insurance, reserves, and emergency funds to reduce the burden on any single participant.
5. Dynamic adjustment mechanisms: Continuously revise institutional arrangements in response to technological change and lessons from incidents.

7. Implications for Digital System Development

Ménard’s framework also applies to modern digital systems. A digital platform or data infrastructure is typically made up of multiple departments, organizations, and service processes. System stability depends not only on computing resources and network equipment, but also on access-control rules, data ownership and accountability, change-management procedures, and emergency coordination.

When building such systems, organizations can review the following areas.

1. Identify Technical Dependencies

Map core modules, data flows, interface relationships, and critical operating paths. Determine which components have high coupling or high-risk characteristics.

2. Align the Governance Architecture with the Technical Architecture

When a business process is completed technically by multiple modules, the institutional design should also define cross-organizational coordination mechanisms. This helps prevent a situation in which the technology has been integrated while management remains fragmented.

3. Design Executable Incident Response Procedures

Alert rules, escalation conditions, response deadlines, and responsible personnel must be clearly defined. They should not remain only at the level of general policy statements.

4. Conduct Regular Institutional Stress Tests

In addition to testing system performance, organizations should simulate scenarios such as incorrect access permissions, delayed data, component failures, and interruptions in organizational coordination. These exercises can verify whether the institutional framework is capable of supporting continued technical operation.

8. Conclusion

Claude Ménard’s research is valuable because it places institutions, organizations, and technical systems within a single analytical framework. It shows that the failure of a complex system is often neither purely a technical problem nor purely a management problem. Instead, it may result from a poor fit between institutional arrangements and technical structures.

The concept of meso-level institutions is particularly useful for analyzing urban public services, infrastructure governance, industry regulation, and digital collaboration systems. By distinguishing among broad rules, organizational mechanisms, and concrete technical operations, analysts can identify sources of risk more accurately and develop better approaches to responsibility allocation, information sharing, emergency response, and institutional improvement.

In practice, every complex system must answer two questions: How does the technical system operate, and how does the institutional framework support that operation? Only when these two dimensions form a stable, transparent, and adaptable relationship can a system remain resilient in an uncertain environment.