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<p>Investigating how the digital economy can improve the innovation efficiency of the high-tech industry in the context of big data. This study uses a three-stage DEA technique to measure the innovation efficiency of high-tech businesses. The index system is created by selecting innovation inputs and outputs and adjusting them with exogenous environmental factors. A thorough and organized method for evaluating digital economy indices has been developed, and weights are allocated to the indexes based on spatial autocorrelation. In the end, the Tobit model is utilized to investigate the impact of the digital economy’s growth on the innovation capacity of high-tech industries. The innovation efficiency of high-tech sectors is positively influenced by the digital economy index, increasing by 0.2102% for every 1% increase. The digital infrastructure regression coefficients for the eastern, central, and western areas are 0.00045, -0.0015, and 0.00076, respectively.</p>
</abstract>

Investigating how the digital economy can improve the innovation efficiency of the high-tech industry in the context of big data. This study uses a three-stage DEA technique to measure the innovation efficiency of high-tech businesses. The index system is created by selecting innovation inputs and outputs and adjusting them with exogenous environmental factors. A thorough and organized method for evaluating digital economy indices has been developed, and weights are allocated to the indexes based on spatial autocorrelation. In the end, the Tobit model is utilized to investigate the impact of the digital economy’s growth on the innovation capacity of high-tech industries. The innovation efficiency of high-tech sectors is positively influenced by the digital economy index, increasing by 0.2102% for every 1% increase. The digital infrastructure regression coefficients for the eastern, central, and western areas are 0.00045, -0.0015, and 0.00076, respectively.

Research on the mechanism of digital economy to enhance the innovation efficiency of high-tech industry in the context of big data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Investigating how the digital economy can improve the innovation efficiency of the high-tech industry in the context of big data. This study uses a three-stage...

Research on the mechanism of digital economy to enhance the innovation efficiency of high-tech industry in the context of big data

Online veröffentlicht: 30. Okt. 2023

Seitenbereich: -

Eingereicht: 08. Dez. 2022

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00878

Schlüsselwörter
Three-stage DEA, Spatial autocorrelation, Tobit model, Digital economy, High technology industry

© 2023 Jing Tan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the mechanism of digital economy to enhance the innovation efficiency of high-tech industry in the context of big data

Online veröffentlicht: 30. Okt. 2023

Seitenbereich: -

Eingereicht: 08. Dez. 2022

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00878

SchlüsselwörterThree-stage DEA, Spatial autocorrelation, Tobit model, Digital economy, High technology industry

© 2023 Jing Tan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Three-stage DEA, Spatial autocorrelation, Tobit model, Digital economy, High technology industry