Research on Heterogeneity of Chinese Regional Technological Innovation Efficiency Based on Meta-frontier and Grey System Theory

被引:0
|
作者
Huang, Qi [1 ]
Miao, Jian-jun [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China
关键词
technological innovation efficiency; meta-frontier; grey system theory; forecasting;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study explores the technological innovation efficiency of three regions in China with meta-frontier in consideration of regional heterogeneity. The results reveal that the overall technological innovation efficiency is low in China, which has much space to improve. In addition, three regions under group frontier and meta-frontier present different development patterns based on different technology sets. The technological innovation inputs and outputs are forecasted by GM(1,1) model and the innovation meta-technology ratio is calculated with forecasted values. The gaps between innovation meta-technology ratio of the three regions tend to decrease. The regions lagging behind have significant late-developing advantages and are catching up with the advanced ones, but the speed of convergence is slow.
引用
收藏
页码:285 / 289
页数:5
相关论文
共 50 条
  • [41] Quantifying the heterogeneity of urban water resources utilization efficiency through meta-frontier super SBM model: Application in the yellow river Basin
    Zheng, Huazhu
    Wang, Hongtao
    He, Hongming
    Wu, Yongjiao
    Delang, Claudio O.
    Wu, Jiacheng
    Lu, Jungang
    Yao, Zhengyu
    Hu, Yangyang
    Gomez, Christopher
    Journal of Cleaner Production, 2024, 485
  • [42] Ecological Efficiency Measurement and Technical Heterogeneity Analysis in China: A Two-Stage Three-Level Meta-Frontier Network Model Based on Segmented Projection
    Lin, Ruiyue
    Wang, Xinyuan
    Jiang, Yu
    SYSTEMS, 2024, 12 (01):
  • [43] Which innovation type is better for production efficiency? A comparison between product/service, process, organisational and marketing innovations using stochastic frontier and meta-frontier analysis
    Kim, Keungoui
    Lee, Junmin
    Lee, Changjun
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2023, 35 (01) : 59 - 72
  • [44] Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model
    Sun, Yu
    Yang, Feng
    Wang, Dawei
    Ang, Sheng
    SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 88
  • [45] Measurement and decomposition of environmental efficiency in the power industry based on multi-hierarchy meta-frontier BAM model
    Dong, Feng
    Chen, Yuhuan
    Sun, Jiaojiao
    Li, Jingyun
    Wang, Lubing
    Dong, Tianqi
    Cui, Jue
    JOURNAL OF CLEANER PRODUCTION, 2024, 441
  • [46] Innovation efficiency and technology heterogeneity within China's new energy vehicle industry: A two-stage NSBM approach embedded in a three-hierarchy meta-frontier framework
    Chen, Yufeng
    Ni, Liangfu
    Liu, Kelong
    ENERGY POLICY, 2022, 161
  • [47] Evaluation of Regional Technological Innovation Efficiency Based on Principal Component Analysis and DEA
    Chen Hongmei
    Wu Zhiyong
    Jin Wei
    ADVANCES IN FUNCTIONAL MANUFACTURING TECHNOLOGIES, 2010, 33 : 378 - 382
  • [48] Stochastic meta-frontier function analysis of the regional efficiency and technology gap ratios (TGRs) of small-scale cassava producers in Liberia
    Dogba, Kollie B.
    Kosura, Willis Oluoch
    Chumo, Chepchumba
    AFRICAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS-AFJARE, 2021, 16 (01): : 64 - 79
  • [49] The technology gap of Chinese regions' energy efficiency and spatial convergence-Based on the hybrid meta-frontier data envelopment analysis (vol 7, 023124, 2015)
    Zou, Wen-Jie
    Cai, Peng-Hong
    Shen, Neng
    Lu, Ching-Cheng
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2015, 7 (04)
  • [50] Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis
    Zhang, Shuhua
    Li, Bingjun
    Yang, Yingjie
    AGRICULTURE-BASEL, 2021, 11 (12):