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Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model

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  • Junzhong Zou
  • Wei Chen
  • Nan Peng
  • Xuan Wei

Abstract

Considering time lag and accumulation of inputs and outputs, this paper adopts the superefficiency data envelopment analysis (DEA) model to study the technological innovation efficiency of high patent-intensive industries using panel data from 2007 to 2017. Given the characteristics and the actual circumstances of the industries, the innovation process is divided into two stages, and an input-output indicator system is established. The results show that the overall innovation efficiency level of high patent-intensive industries in China is increasing. However, the R&D achievements in technology are not quickly applied or sufficiently transformed.

Suggested Citation

  • Junzhong Zou & Wei Chen & Nan Peng & Xuan Wei, 2020. "Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-9, May.
    • Handle: RePEc:hin:jnlmpe:2906293
    DOI: 10.1155/2020/2906293
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    Cited by:

    1. Svetlana V. Ratner & Svetlana A. Balashova & Andrey V. Lychev, 2022. "The Efficiency of National Innovation Systems in Post-Soviet Countries: DEA-Based Approach," Mathematics, MDPI, vol. 10(19), pages 1-23, October.
    2. Jin, Baoling & Han, Ying & Kou, Po, 2023. "Dynamically evaluating the comprehensive efficiency of technological innovation and low-carbon economy in China's industrial sectors," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    3. Mary da Silva Quintino, Heliana & Rodrigues Holanda, Francisco Sandro & Rodrigues Moura, Fabio & Ricardo de Santana, Jose & Vidal, Luiz Diego, 2021. "World efficiency in the potential production of new technologies under intellectual property assets," Technology in Society, Elsevier, vol. 65(C).

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