资源科学 ›› 2021, Vol. 43 ›› Issue (1): 82-93.doi: 10.18402/resci.2021.01.07

• 资源经济 • 上一篇    下一篇

中国经济高质量发展时空演变及其科技创新驱动机制

孙艺璇(), 程钰(), 刘娜   

  1. 山东师范大学地理与环境学院,济南 250358
  • 收稿日期:2020-02-19 修回日期:2020-05-11 出版日期:2021-01-25 发布日期:2021-03-25
  • 作者简介:孙艺璇,女,山东招远人,硕士研究生,研究方向为区域可持续发展。E-mail: 865017942@qq.com
  • 基金资助:
    国家自然科学基金项目(41871121)

Spatiotemporal evolution of China’s high quality economic development and its driving mechanism of scientific and technological innovation

SUN Yixuan(), CHENG Yu(), LIU Na   

  1. College of Geography and Environment, Shandong Normal University, Jinan 250358, China
  • Received:2020-02-19 Revised:2020-05-11 Online:2021-01-25 Published:2021-03-25

摘要:

科技创新在区域经济发展模式转型中具有重要作用,也对经济高质量发展的提升有着重要影响。本文以中国30个省(区、市)为研究对象,利用Super-SBM模型测算2000—2017年中国经济高质量发展效率并分析其时空演变特征,通过空间面板数据回归模型探究科技创新对经济高质量发展的驱动机制,得出以下结论:①经济高质量发展效率在时间上整体呈上升态势,平均值从2000年的0.18上升至2017年的0.44,在空间上大致由东部沿海向中西部递减;②从整体回归结果看,科技创新各要素(专利授权数、R&D经费占GDP比重、R&D人员全时当量)对经济高质量发展的驱动作用较强,控制变量中的城镇化水平和市场化程度对经济高质量发展也存在正向的驱动作用,而产业结构和环境规制则表现为抑制作用;③从四大地区的回归结果看,不同地区经济高质量发展受科技创新各要素的驱动影响存在较大差异,东部地区受专利授权数、R&D经费占GDP比重的驱动作用较强,专利授权数、R&D经费占GDP比重、R&D人员全时当量均对西部地区有正向驱动作用,而中部地区和东北地区分别只受专利授权数和R&D人员全时当量的驱动影响。本文可为国家和地区提高科技创新和经济高质量发展水平提供借鉴。

关键词: 经济高质量发展, 科技创新, Super-SBM模型, STIRPAT模型, 驱动机制, 中国

Abstract:

Scientific and technological innovation plays an important role in the transformation of regional economic development model. It also has an important impact on the improvement of high quality economic development. This study was conducted in 30 provinces (municipalities, autonomous regions) of China. The super-efficiency slack-based measurement (Super-SBM) model was used to calculate the high quality development efficiency of China’s economy from 2000 to 2017 and analyze its temporal and spatial evolution characteristics. The spatial panel data regression model was used to explore the driving mechanism of technological innovation on high quality economic development. The conclusions are as following: (1) As a whole, the efficiency of high quality economic development has been on the rise, with the average value changed from 0.18 in 2000 to 0.44 in 2017. Spatially, there is a decline from the east coast to the central and western parts of the country. (2) From the overall regression results, the factors of scientific and technological innovation (the number of patents authorized, the proportion of R&D expenditure in GDP, and the full-time equivalent of R&D personnel) have a great driving effect on high quality economic development. Among the control variables, urbanization level and marketization degree also have a positive driving effect on high quality economic development, while industrial structure and environmental regulation show a inhibiting effect. (3) The regression results of the four regions show that high quality economic development in different regions is greatly driven by various factors of scientific and technological innovation. The eastern region is strongly driven by the number of patents authorized and the proportion of R&D expenditure in GDP. The number of patents authorized, the proportion of R&D expenditure in GDP, and the full-time equivalent of R&D personnel all have a positive driving effect on the western region. However, the central region and the northeast region are driven by the number of patents authorized and the full-time equivalent of R&D personnel respectively.This study provides an important reference for countries and regions to improve the level of scientific and technological innovation and economic development.

Key words: high quality economic development, scientific and technological innovation, Super-SBM model, STIRPAT model, driving mechanism, China