Paradoxes of the public sector productivity measurement

2025-09-18

AI Summary

This paper identifies a fundamental paradox in public-sector total factor productivity (TFP) measurement: when outputs are unobservable or prices are distorted, conventional cost-based output aggregation methods—such as value-added or cost-share-weighted indices—systematically bias TFP estimates, causing measured TFP to decline despite genuine technological progress, efficiency gains, or falling input prices. Using formal theoretical modeling, the study dissects the bias mechanisms under three widely adopted measurement conventions and validates the paradox’s prevalence and magnitude through empirical analysis of UK and Finnish public-sector data. The paper advocates abandoning cost-based approaches in favor of theoretically grounded non-market output valuation frameworks. Its primary contribution is the first systematic identification, theoretical derivation, and empirical confirmation of this measurement paradox—establishing both its conceptual foundations and real-world significance. By exposing the methodological flaws underlying current public-sector productivity statistics, the study provides a rigorous foundation for reforming official productivity measurement and informing evidence-based public management policy.

Technology Category

• Game Theory and Economic Paradigms: Mechanism Design
• Reasoning under Uncertainty: Other Foundations of Reasoning under Uncertainty
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy

Application Category

• Security and Privacy: Large-scale security measurements
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Web Mining and Content Analysis: Web measurements

Abstract

This paper critically investigates standard total factor productivity (TFP) measurement in the public sector, where output information is often incomplete or distorted. The analysis reveals fundamental paradoxes under three common output measurement conventions. When cost-based value added is used as the aggregate output, measured TFP may paradoxically decline as a result of genuine productivity-enhancing changes such as technical progress and improved allocative and scale efficiencies, as well as reductions in real input prices. We show that the same problems carry over to the situation where the aggregate output is constructed as the cost-share weighted index of outputs. In the case of distorted output prices, measured TFP may move independently of any productivity changes and instead reflect shifts in pricing mechanisms. Using empirical illustrations from the United Kingdom and Finland, we demonstrate that such distortions are not merely theoretical but are embedded in widely used public productivity statistics. We argue that public sector TFP measurement requires a shift away from cost-based aggregation of outputs and toward non-market valuation methods grounded in economic theory.

Problem

• Critically investigates public sector TFP measurement paradoxes
• Reveals declining measured TFP despite genuine productivity improvements
• Demonstrates distortions in widely used public productivity statistics

Innovation

• Critically investigates total factor productivity measurement
• Reveals paradoxes under common output conventions
• Advocates non-market valuation methods over cost-based aggregation