School of management, Jiangsu University, Zhenjiang, China.
School of Economics & Management, Tongji University, Shanghai, China.
PLoS One. 2021 Oct 11;16(10):e0257636. doi: 10.1371/journal.pone.0257636. eCollection 2021.
Building an innovative country is a clear strategy for my country to promote economic, industrial, and social development. Mastering the status quo and late-comer advantages of technological innovation in my country's provinces is an important prerequisite for accurately positioning the innovation mission of each province. This article innovatively uses innovation concentration and innovation potential to measure and analyze the provincial scientific and technological innovation level at the inventory and incremental level. Taking the cross-sectional data of 31 provinces in my country in 2019 as a sample, construct the provincial "innovation potential-innovation concentration" evaluation The index system, through the entropy weight method, determines the weight of each evaluation index, and uses the TOPSIS method to conduct multi-objective evaluation of each province. According to the calculation results of provincial scientific and technological innovation concentration and innovation potential, an in-depth interpretation of the spatial distribution of my country's provincial scientific and technological innovation echelon is carried out. The study found that: the innovation concentration and innovation potential matrix echelon division of my country's provinces is divided into four echelons, namely high innovation. The echelon of drivers with high concentration and high innovation potential, the echelon of followers with high innovation concentration and low innovation potential, the echelon of dark horses with low innovation concentration and high innovation potential, and the echelon of latecomers with low innovation concentration and low innovation potential. Finally, the positioning strategy of the innovation mission of each echelon province is put forward to provide reference and enlightenment for the construction of innovative provinces and the promotion of a scientific and technological power.
建设创新型国家是我国推动经济、产业和社会发展的明确战略。掌握我国各省技术创新的现状和后发优势，是准确定位各省创新任务的重要前提。本文创新性地采用创新集聚度和创新潜势度来衡量和分析存量和增量层面的省级科技创新水平。以 2019 年我国 31 个省份的截面数据为样本，构建省级“创新潜力-创新集聚”评价指标体系，通过熵权法确定各评价指标权重，运用 TOPSIS 法对各省进行多目标评价。根据省级科技创新集聚度和创新潜势度的测算结果，对我国省级科技创新梯队的空间分布进行深入解读。研究发现：我国各省的创新集聚度和创新潜势度矩阵梯队划分分为四个梯队，即高创新集聚度和高创新潜势度的领跑者梯队、高创新集聚度和低创新潜势度的跟跑者梯队、低创新集聚度和高创新潜势度的黑马梯队、低创新集聚度和低创新潜势度的后发者梯队。最后，提出各梯队省份创新任务的定位策略，为创新省份建设和科技实力提升提供参考和启示。
