Spatial Scientometrics in Measuring the Geography of Knowledge and Innovation: The Case of India

The global landscape of science, technology, and innovation (STI) is increasingly shifting toward developing countries. China and India—two Asian economies with fast-growing innovation sectors—are at the forefront of this process, yet the regional dimension of their knowledge economies, especially in India, remains insufficiently studied. This article examines territorial and sectoral patterns of knowledge production and commercialization across Indian states, applying a spatial scientometric approach. The analysis draws on data from Scopus, Intellectual Property India, and the National Manufacturing Innovation Survey (2017–2022), aligned with India’s national development priorities. The study explores how regional scientific output relates to inventive and innovation activity. The results show a strong positive link between scientific productivity and both patenting and innovation, with a particularly strong connection between regional knowledge production and inventive activity. The strength of this link varies by field: the spatial distribution of patents closely aligns with publication centres in natural sciences, life sciences, and medicine, but shows the weakest association with arts and humanities. Innovation indicators—such as India’s Industrial Innovation Index and the number of innovative firms—are most strongly linked to output in life sciences and medicine as well as social sciences and management. These findings underscore the potential of scientometric indicators to complement traditional measures of innovation, particularly in data-scarce regional contexts. They offer empirical support for integrating bibliometric data into regional STI assessments and for forecasting innovation potential at the subnational level.

Authors

Publication Details

Journal
Economy of Regions
Published
2025-01-01
DOI
https://doi.org/10.17059/ekon.reg.2025-2-19
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial Scientometrics in Measuring the Geography of Knowledge and Innovation: The Case of India

Andrey S. Mikhaylov
Economy of Regions
scientometrics and bibliometrics research
article

Spatial Scientometrics in Measuring the Geography of Knowledge and Innovation: The Case of India

Andrey S. Mikhaylov
article en

Abstract

The global landscape of science, technology, and innovation (STI) is increasingly shifting toward developing countries. China and India—two Asian economies with fast-growing innovation sectors—are at the forefront of this process, yet the regional dimension of their knowledge economies, especially in India, remains insufficiently studied. This article examines territorial and sectoral patterns of knowledge production and commercialization across Indian states, applying a spatial scientometric approach. The analysis draws on data from Scopus, Intellectual Property India, and the National Manufacturing Innovation Survey (2017–2022), aligned with India’s national development priorities. The study explores how regional scientific output relates to inventive and innovation activity. The results show a strong positive link between scientific productivity and both patenting and innovation, with a particularly strong connection between regional knowledge production and inventive activity. The strength of this link varies by field: the spatial distribution of patents closely aligns with publication centres in natural sciences, life sciences, and medicine, but shows the weakest association with arts and humanities. Innovation indicators—such as India’s Industrial Innovation Index and the number of innovative firms—are most strongly linked to output in life sciences and medicine as well as social sciences and management. These findings underscore the potential of scientometric indicators to complement traditional measures of innovation, particularly in data-scarce regional contexts. They offer empirical support for integrating bibliometric data into regional STI assessments and for forecasting innovation potential at the subnational level.

Economy of RegionsVol. 21(2)
Russian Science Foundation
Openalex Percentile: Top 85%
scientometrics and bibliometrics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.