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Regional innovation ability and its inequality: Measurements and dynamic decomposition.

Authors :
Xu, Aiting
Qiu, Keyang
Jin, Canyang
Cheng, Caijuan
Zhu, Yuhan
Source :
Technological Forecasting & Social Change; Jul2022, Vol. 180, pN.PAG-N.PAG, 1p
Publication Year :
2022

Abstract

• Economy-related regional innovation ability shows a "pro−rich" inequality. • Mitigation effect of economic synergy promotion on regional innovation inequality. • Cumulative effect exacerbates the inequality of regional innovation ability. To bridge the research gap regarding the inequality of innovation ability, this paper proposes a more reasonable proxy indicator of research and development capital, applying the concentration index to quantify the inequality of regional innovation ability based on the regional economic levels in China and to dynamically decompose changes of regional innovation ability inequality. The study reveals that China's innovation ability has gradually improved, accompanied by significant regional agglomeration effects and widening regional gaps. The findings indicate that inequality of regional innovation ability in China remains high, and the correlation between the regional innovation ability and economic development level has increased. Improvement in the degree of synergy between regional economic development is conducive to alleviating the inequality of regional innovation ability, and cumulative innovation ability effects, particularly the scale factor, exacerbate the inequality of regional innovation ability. This research has important practical significance for policymakers and researchers seeking approaches to investigate and promote effective the coordinated development of regional innovation and improve the overall quality and efficiency of innovation ability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00401625
Volume :
180
Database :
Supplemental Index
Journal :
Technological Forecasting & Social Change
Publication Type :
Academic Journal
Accession number :
157285424
Full Text :
https://doi.org/10.1016/j.techfore.2022.121713