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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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KEYNESIAN 2.0: RETHINKING GDP FOR INCLUSIVE, INNOVATIVE, AND SUSTAINABLE GROWTH

Authors: Dr. R. Ramki, Dr.Stalin Paneer Selvam, Dr.M.A.Dhandapani, Dr.M. Rajendhiran;

KEYNESIAN 2.0: RETHINKING GDP FOR INCLUSIVE, INNOVATIVE, AND SUSTAINABLE GROWTH

Abstract

Gross Domestic Product (GDP) has long served as the primary indicator of economic performance, yet it provides a narrow view of prosperity. While GDP measures aggregate output, it overlooks income inequality, environmental degradation, and the broader value created by innovation and human capital. In an era defined by climate change, rapid technological transformation, and widening social disparities, reliance on traditional GDP is increasingly insufficient. The emerging concept of “Keynesian 2.0” seeks to modernize macroeconomic thinking by integrating sustainability, equity, and innovation into both measurement and policy design. This framework reinterprets Keynesian demand management by aligning fiscal stimulus with long-term structural goals. It advocates incorporating environmental costs through Green GDP, recognizing human and natural capital via Inclusive Wealth metrics, and promoting mission-oriented public investment to guide technological change. By embedding innovation and social inclusion directly into economic evaluation, Keynesian 2.0 moves beyond short-term output growth toward resilient and equitable development. Ultimately, it proposes a redefined GDP that better reflects real societal progress and supports sustainable prosperity for future generations. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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