THE POLICY EDGE

MoSPI Releases Base Paper on Measuring Knowledge Products in the Indian Economy

MoSPI base paper proposed a national framework to measure the economic contribution of knowledge products, intellectual assets, R&D, software, and traditional knowledge within India’s GDP architecture

Reports/Data Releases image

The Ministry of Statistics and Programme Implementation (MoSPI) has released a Base Paper on a Framework for Measuring the Contribution of Knowledge and Knowledge Products to the Indian Economy, marking an important step toward integrating intangible assets and intellectual output into India’s economic measurement systems.

Traditional economic accounting models are heavily optimised for physical goods, frequently failing to capture the unique, non-rival, and non-excludable attributes of knowledge products. To rectify this, the base paper lays out a four-chapter roadmap detailing conceptual dimensions, existing intellectual property (IPR) metrics, and a novel primer on valuing India's undocumented traditional knowledge.

By deploying input-output analysis, R&D tracking, and knowledge-intensive employment data, MoSPI is designing a framework to measure how research outputs, patents, software, and digital content generate multi-sectoral economic spillovers.

Key Benchmarks of the Base Paper Framework

  • Strategic Evolution: Moves from purely physical asset tracking to measuring intangible inputs and high-value knowledge services.

  • Core Taxonomy: Focuses on research outputs, patent frameworks, software development, academic outputs, and digital content.

  • Methodological Pillars: Blends R&D expenditure tracking, input-output models, and specific IP valuation indexes.

  • Traditional Knowledge Focus: Establishes formal criteria for classifying, preserving, and economically valuing indigenous and traditional practices.

  • Multi-Stakeholder Blueprint: Features active cross-validation between Central Government ministries, academia, think tanks, and industrial bodies.


Four-Chapter Analytical Architecture

The MoSPI paper divides the economic evaluation of intellectual assets into four core pillars:

Chapter / Pillar

Thematic Focus

Core Economic Objective

Chapter 1: Conceptual Considerations

Dimensions of knowledge, creation dynamics, and micro-to-macro economic impacts.


Establishing definitions for knowledge flows.


Chapter 2: Methodologies & Metrics

Review of evaluation methods for R&D, IPR, the digital economy, and academic publishing.


Quantifying measurable IP and digital innovation assets.


Chapter 3: India’s Traditional Knowledge

Dimensions and challenges of traditional and indigenous knowledge across economic activities.


Metrics for documenting and valuing local heritage assets.


Chapter 4: Valuation Primer

Initial comprehensive framework consolidating quantitative and qualitative indicators.


Reconciling knowledge inputs directly with national GDP calculations.



What is a "Knowledge Product"?

A knowledge product is an intangible asset created through intellectual effort, research, or innovation, such as software code, proprietary algorithms, medical patents, advanced engineering blueprints, or documented traditional practices, that can be repeatedly used to generate economic value. Unlike physical products, knowledge products exhibit "non-rivalry," meaning their use by one factory or developer does not diminish their availability to others. Because these products create substantial positive spillovers, their accurate measurement is essential for modern data-driven governance.



Policy Relevance

  • Corrects Underestimation of GDP: Capturing the direct and indirect value of software, research, and patents ensures that India's national accounts reflect the actual size of its modern digital economy.

  • Monetises Traditional Heritage: Creating formal metrics for traditional knowledge protects and monetises geographical indications (GIs) and native medical systems, integrating them into the formal economy.

  • Optimises Fiscal R&D Incentives: A robust national framework gives policymakers the accurate data-rails needed to design targeted tax incentives and research grants for high-impact sectors.

  • Prevents Regulatory Asymmetry: Aligning India’s knowledge taxonomy with international standards ensures cross-border compatibility, smoothing trade in services and technology licensing.

  • Drives High-Value Job Creation: Tracking employment in knowledge-intensive sectors helps the government realign its skilling initiatives with the specific needs of Global Capability Centres (GCCs) and tech startups.


Follow the Full Paper Here: Framework for Measuring the Contribution of Knowledge and Knowledge Products to the Indian Economy


Rethinking Public Policy Through Insight | Inquiry | Impact

Opinion • Grassroots Voices • Policymakers Perspectives • Expert Analysis • Policy Briefs