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Efficiency of scientific and technological resource allocation in Chengdu–Chongqing–Mianyang Urban agglomeration: based on DEA–Malmquist index model

Author

Listed:
  • Ruochen Li

    (Southwest Jiaotong University)

  • Yuyan Luo

    (Chengdu University of Technology)

  • Borui Chen

    (Chengdu University of Technology)

  • Huan Huang

    (Chengdu University of Technology)

  • Ping Liu

    (Chengdu University of Technology)

Abstract

Based on the scale, distribution, and structure of scientific and technological resource allocation, the basic characteristics of scientific and technological resource allocation in Chengdu–Chongqing–Mianyang were analyzed, and the relevant panel data of the three places and the whole region were analyzed using the data envelopment analysis (DEA)-Malmquist index model, spanning the period of 2010–2019. The results show that the overall efficiency of scientific and technological resource allocation in Chengdu–Chongqing–Mianyang shows an upward trend during the study period, which is attributed to the significant increase in the rate of technological progress. The rapid growth in Chongqing and Mianyang is attributed to good policy support, rapid renewal of facilities and institutions, and improved management experience. The relative slowdown in the rate of technological progress in Chengdu may be due to industrial restructuring, coupled with a shift in economic technology from high growth to high quality development. At the same time, Chengdu–Chongqing–Mianyang region is more inclined to cultivate its own R&D capabilities, and the accumulation and upgrading of innovation management technologies are insufficient to meet its innovation needs. Finally, the study proposes countermeasures to improve the efficiency of science and technology resource allocation in Chengdu–Chongqing–Mianyang from macro and micro perspectives.

Suggested Citation

  • Ruochen Li & Yuyan Luo & Borui Chen & Huan Huang & Ping Liu, 2024. "Efficiency of scientific and technological resource allocation in Chengdu–Chongqing–Mianyang Urban agglomeration: based on DEA–Malmquist index model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 10461-10483, April.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:4:d:10.1007_s10668-023-03153-9
    DOI: 10.1007/s10668-023-03153-9
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    References listed on IDEAS

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    2. Leoncini, Riccardo, 1998. "The nature of long-run technological change: innovation, evolution and technological systems," Research Policy, Elsevier, vol. 27(1), pages 75-93, May.
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