Innovation, promotion and application of green and low-carbon technology is an important measure to implement the "double carbon" goal, and it is also an important driving force to promote the green and low-carbon transformation of industry and achieve high-quality economic development. Using the system dynamics model, this paper takes 2015—2021 as the simulation period, explores the coupling model and driving mechanism of green patent output based on the three dimensions of government, enterprise, and university and research, verifies the validity of the model through historical test and sensitivity analysis, and simulates the change trend of green patent output in the future. The results show as follows. The three subsystems of government, enterprise, and university and research affect the output of green patents through different driving paths. Among all the driving paths, increasing the intensity of government's investment in university and research or scientific and technological innovation, enterprises' investment in industry, university and research, and financial institutions' investment in university and research can promote the increase of green patent output in the future. Therefore, this paper suggests that under the comprehensive action of the government, enterprises, and university and research, and guided by the green low-carbon industry and the "dual carbon" goal, taking green technology innovation as the means of development will further accelerate the completion of the "dual carbon" goal.
YIN Xue
,
LIANG Qin
,
ZHANG Lizhou
. On the coupling model and driving mechanism of green patent output[J]. Science & Technology Review, 2023
, 41(21)
: 134
-144
.
DOI: 10.3981/j.issn.1000-7857.2023.21.013
[1] 赵炎, 齐念念, 孟庆时. 技术整合能力、绿色专利质量与企业持续性创新[J]. 科技进步与对策, 2023, 40(8): 11-21.
[2] Li Z, Liu Z. Does environmental regulation affect urban green technology innovation in China? Evidence from the low-carbon city pilot policy[J/OL]. Frontiers in Energy Research, 2023, doi: 10.3389/FENRG.2023.1068563.
[3] Nabila A, Salman S M, Song H M, et al. A step towards environmental mitigation: Do green technological innovation and institutional quality make a difference[J/OL]. Technological Forecasting & Social Change, 2023, doi: 10.1016/J.TECHFORE.2023.122413.
[4] 郭秋秋, 马晓钰 . 市场激励型环境规制对企业绿色创新的影响研究——基于上市公司绿色专利视角[J].技术经济与管理研究, 2022(9): 44-50.
[5] 周衍平, 尹意, 陈会英 . 外商直接投资对绿色专利产出的影响——基于中国省际面板数据的实证分析[J]. 科学与管理, 2022, 42(1): 34-42.
[6] 肖秀 . 绿色专利的权利限制研究[D]. 成都: 四川师范大学, 2021.
[7] 胡逸群 . 区域异质性视角下公众参与、环境规制对工业绿色专利产出的影响研究[D]. 徐州: 中国矿业大学, 2020.
[8] 任亚运, 余坚, 刘俊霞 .“双碳”目标下绿色金融的碳减排效应及作用机制检验[J]. 财会月刊, 2023, 44(1): 147-153.
[9] 吴朝霞, 潘小丹.“双碳”目标下我国制造业绿色技术创新升级路径研究[J]. 湖南财政经济学院学报, 2022, 38(5): 5-13.
[10] 安晓慧, 许轶 . 绿色专利技术创新趋势[J]. 世界科技研究与发展, 2020, 42(3): 358.
[11] 张久森, 苍正伟, 张雅媛, 等 . 区域绿色技术创新驱动因素分析——基于我国省级绿色专利数据的证据[J].长江技术经济, 2021, 5(4): 50-56.
[12] 吴鸣宣 . 我国绿色专利制度发展的困境与完善研究[D]. 兰州: 兰州大学, 2020.
[13] 席诚浩, 严鹏飞 . 我国绿色专利制度路径探析[J]. 科技创业月刊, 2022, 35(10): 153-155.
[14] Liu J J, Zhao M, Zhang C, et al. Analysis of the influence of heterogeneous environmental regulation on green technology innovation[J/OL]. Sustainability, 2023, 15(4), doi: 10.3390/SU15043649.
[15] Li Z H, Huang Z M, Su Y Y. New media environment, environmental regulation and corporate green technology innovation: Evidence from China[J/OL]. Energy Economics, 2023, doi: 10.1016/J.ENECO.2023.106545.
[16] Liu X, Liu F Z, Ren X Y. Firms' digitalization in manufacturing and the structure and direction of green innovation[J/OL]. Journal of Environmental Management, 2023, doi: 10.1016/J.JENVMAN.2023.117525.
[17] Sui B, Yao L Y. The impact of digital transformation on corporate financialization: The mediating effect of green technology innovation[J/OL]. Innovation and Green Development, 2023, 2(1), doi：10.1016/J.IGD.2022.100032.
[18] 隋依庭 . 基于系统动力学的京津冀三地协同创新发展研究[D]. 秦皇岛: 燕山大学, 2022.
[19] Yin Y T, Lin G, Jiang D, et al. Multi-Scenario simulation of a water-energy coupling system based on system dynamics: A case study of Ningbo City[J/OL]. Energies, 2021, 14(18), doi: 10.3390/EN14185854.
[20] 雷歆 . 基于系统动力学的装配式建筑政策对专利产出的影响研究[D]. 西安: 西安建筑科技大学, 2022.
[21] 北京市统计局 . 北京统计年鉴[EB/OL]. (2022-12-12)[2023-02-01]. https://nj.tjj.beijing.gov.cn/nj/main/2022-tjnj/zk/indexch.htm.
[22] 王曼曼, 连帅, 李海燕, 等 . 中国双向 FDI、知识产权保护与绿色专利产出——基于省际面板数据的实证分析[J]. 系统管理学报, 2020, 29(6): 1136-1149.
[23] 武力超, 游子逸 . 新发展理念下绿色专利优先审查制度的国际比较和政策效果分析[J]. 工信财经科技, 2022(6): 13-27.
