Research on the Measurement of Regional R&D Input Efficiency from the Perspective of Innovation Value Chain

被引:0
|
作者
Gao, Zhiyong [1 ]
机构
[1] Harbin Univ Commerce, Sch Finance & Publ Adm, Harbin, Peoples R China
关键词
Innovation value chain; R&D investment efficiency; DEA model;
D O I
10.1117/12.2622848
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As the first driving force leading the development, technological innovation has become the strategic support of the modern economic system. Basic research and applied research have become the source of scientific and technological innovation activities, which determine the stamina of later product development and industrial upgrading. Increasing investment in R&D human and capital is an inevitable requirement for building an innovative country. The efficiency of R&D investment has become an important indicator to measure the high-quality economic development driven by scientific and technological innovation activities in innovative countries. The article is based on the perspective of innovation value chain, and then uses the DEA model to measure the efficiency of R&D investment in 31 provinces across the country, and divide the efficiency of R&D investment in various regions of our country into four types. It also gives policy recommendations based on the characteristics of the efficiency of R&D investment in each region.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] How financial development scale and R&D influence regional innovation efficiency: empirical evidence from the financial industry
    Tang, Meijuan
    Wang, Xiaoxia
    Niu, Wenyao
    Fu, Jingmin
    Zhu, Mengran
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (22) : 61257 - 61270
  • [42] How financial development scale and R&D influence regional innovation efficiency: empirical evidence from the financial industry
    Meijuan Tang
    Xiaoxia Wang
    Wenyao Niu
    Jingmin Fu
    Mengran Zhu
    Environmental Science and Pollution Research, 2023, 30 : 61257 - 61270
  • [43] Research on the Impact of Digital Transformation on the Product R&D Performance of Automobile Enterprises from the Perspective of the Innovation Ecosystem
    Men, Feng
    Dong, Fangqi
    Liu, Yiying
    Yang, Hongxiong
    SUSTAINABILITY, 2023, 15 (07)
  • [44] The effects of network structure on research innovation: an analysis from a content perspective using the data of R&D funding
    Pan, Wenhui
    Zhao, Pengwei
    Ding, Xianfeng
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2019, 31 (12) : 1430 - 1446
  • [45] Joint R&D Subsidies, Related Variety, and Regional Innovation
    Broekel, Tom
    Brachert, Matthias
    Duschl, Matthias
    Brenner, Thomas
    INTERNATIONAL REGIONAL SCIENCE REVIEW, 2017, 40 (03) : 297 - 326
  • [46] Innovation in pharmaceutical R&D: mapping the research landscape
    Angelo Kenneth S. Romasanta
    Peter van der Sijde
    Jacqueline van Muijlwijk-Koezen
    Scientometrics, 2020, 125 : 1801 - 1832
  • [47] Innovation in pharmaceutical R&D: mapping the research landscape
    Romasanta, Angelo Kenneth S.
    van der Sijde, Peter
    Van Muijlwijk-Koezen, Jacqueline
    SCIENTOMETRICS, 2020, 125 (03) : 1801 - 1832
  • [48] R&D networks and regional innovation: a social network analysis of joint research projects in Japan
    Yokura, Yutaka
    Matsubara, Hiroshi
    Sternberg, Rolf
    AREA, 2013, 45 (04) : 493 - 503
  • [49] R&D outsourcing in an innovation-driven supply chain
    Kim, Kyoung-Kuk
    Lim, Michael K.
    OPERATIONS RESEARCH LETTERS, 2015, 43 (01) : 20 - 25
  • [50] Getting value from R&D
    Naper-Munn, TJ
    AUSIMM'98: THE MINING CYCLE, 1998, 98 (02): : 117 - 121