Comparative Study on the Efficiency of Scientific and Technological Innovation and the Redundancy of Investment: Based on the Cross-sectional Data of 30 Provinces, Municipalities and Autonomous Regions

Lili Tang

doi:10.6981/FEM.202601_7(1).0001

Authors

Lili Tang

DOI:

https://doi.org/10.6981/FEM.202601_7(1).0001

Keywords:

Efficiency of Technological Innovation; BCC-DEA Model; Input Redundancy.

Abstract

To enhance scientific and technological innovation efficiency and regional development in the digital era, this study examines innovation efficiency and input redundancy across 30 Chinese provinces, optimizing digital capital input and resource allocation. Using an input-oriented BCC-DEA model, an evaluation system for digital access and R&D capability measures 2022 data. Results show only 10 provinces were efficient, with Guizhou, Sichuan, and Chongqing at 0.410 efficiency versus Beijing, Shanghai, and Tianjin at 1.000, indicating significant regional disparities. Only 13 regions had zero redundancy, while 17 had input redundancy, particularly in digital R&D capability. The Chinese government should adjust science and technology policies and optimize resource allocation, while provinces should implement region-specific policies based on local redundancy and endowments.

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