• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2025, Vol. 43 ›› Issue (5): 1039-1051.

• 创新探索 • 上一篇    下一篇

京津冀工业企业研发创新对碳排放强度的影响———基于规模和效率视角的实证研究

朱潜挺1,王喜悦2,3,章姝1,3,王净文清1,3,吴静4   

  1. 1. 中国石油大学(北京)经济管理学院
    2. 中国石油大学(北京)
    3.
    4. 中国科学院科技政策与管理科学研究所
  • 收稿日期:2024-04-09 修回日期:2024-08-09 出版日期:2025-05-15 发布日期:2025-05-15
  • 通讯作者: 吴静
  • 基金资助:
    微观创新驱动下京津冀城市群低碳经济转型建模及政策评估—基于agent模拟

The impact of R&D innovation on Carbon Emission Intensity of Industrial Enterprises in the Beijing-Tianjin-Hebei Urban Agglomeration ——an Empirical Study from the Perspectives of Scale and Efficiency

  • Received:2024-04-09 Revised:2024-08-09 Online:2025-05-15 Published:2025-05-15

摘要: 摘要:研发创新是应对气候变化的一种有效手段。京津冀地区在推动研发创新、降低区域碳排放方面发挥关键的引领和示范作用,尤其是工业企业在研发创新方面起主导作用。研究基于2010-2020年京津冀各地级市工业企业的面板数据,将研发创新分解为效率和规模两个维度,通过指标测算、计量建模和时空分析,实证探讨京津冀工业企业研发创新对碳排放强度的时空影响。研究结果显示:(1)研发规模与创新效率存在显著差异。研究期内,各地区工业企业研发规模稳定增长,创新效率相对波动。(2)研发创新对碳排放强度的空间影响呈现两阶段特征,以2016年为转折年份最显著,影响显著的空间权重矩阵从地理距离转为经济距离。(3)从规模维度看,通过扩大研发规模降低碳排放强度存在效果的时滞性。(4)从效率维度看,创新效率对碳排放强度的短期影响不明显,需长期积累才能有效降低碳排放强度。研究创新性地从规模和效率两个维度分析京津冀工业企业研发创新对碳排放强度的时空影响,探寻其差异化影响路径。研究结果将为合理布局我国城市群内部的研发规模和效率,促进区域协同碳减排提供重要参考。

Abstract: Abstract: R&D innovation is considered an effective means to address climate change. The Beijing-Tianjin-Hebei urban agglomeration plays a critical leading and exemplary role in promoting R&D innovation and reducing regional carbon emissions, especially with industrial enterprises playing a dominant role in R&D innovation. Based on panel data from industrial enterprises in various prefecture-level cities in the Beijing-Tianjin-Hebei urban agglomeration from 2010 to 2020, this study decomposes R&D innovation into two dimensions: efficiency and scale. Through indicator measurement, econometric modeling, and spatiotemporal analysis, this paper empirically investigates the spatiotemporal impact of R&D innovation by industrial enterprises on carbon emission intensity in the Beijing-Tianjin-Hebei urban agglomeration. The research results show that: (1) There are significant differences between R&D scale and innovation efficiency. During the study period, the R&D scale of industrial enterprises in various regions steadily increased, while innovation efficiency fluctuated relatively. (2) The spatial impact of R&D innovation on carbon emission intensity exhibits a two-stage characteristic, with 2016 being the most significant turning point, shifting the significant spatial weight matrix from geographical distance to economic distance. (3) From the scale dimension, there is a time lag effect in reducing carbon emission intensity by expanding the R&D scale. (4) From the efficiency dimension, the short-term impact of innovation efficiency on carbon emission intensity is not obvious; long-term accumulation is required to effectively reduce carbon emission intensity. The study innovatively analyzes the spatiotemporal impact of R&D innovation on carbon emission intensity of industrial enterprises in the Beijing-Tianjin-Hebei urban agglomeration from both scale and efficiency dimensions, exploring their differentiated impact paths. The research results will provide important references for the rational layout of R&D scale and efficiency within China's urban agglomerations and promote regional collaborative carbon reduction.