The impact of ecological civilization construction on the resilience of green technology innovation: evidence based on double dual machine learning

被引:0
|
作者
Li, Cunlin [1 ,2 ]
Zhang, Shiyu [1 ,2 ]
Yang, Baojun [1 ,2 ]
机构
[1] North Minzu Univ, Sch Math & Informat Sci, Yinchuan, Peoples R China
[2] North Minzu Univ, Business Sch, Yinchuan 750030, Peoples R China
关键词
ecological civilization demonstration zones; green innovation resilience; double machine learning; spatial difference-in-differences model; China;
D O I
10.3389/fenvs.2024.1514582
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Can the accelerated development of ecological civilization promote the sustainable development of green innovation?This paper investigates the effects of ecological civilization demonstration zones (ECDZs) on green innovation resilience. Based on a sample of 237 prefecture-level cities across 31 provinces in China from 2011 to 2021, our double dual machine learning and spatial difference-in-differences model indicates that ECDZs significantly enhance urban green innovation resilience. Our findings also reveal a spatial spillover effect of ECDZ-the development of ECDZs in one city significantly improves the resilience of green innovation in neighboring cities. The spatial spillover effect reaches its maximum in the fifth year. Our analysis of the underlying mechanisms suggests that ECDZs promote urban green innovation resilience through the advancement of digitalization, green consciousness, and new quality productivity. We also conduct an analysis of heterogeneity based on geographical locations and levels of policy support, and the results show that the impact of ECDZs on urban green innovation resilience is mainly observed in western, inland, and strongly policy-supported regions. The findings of this study provide crucial insights and valuable guidance for developing national environmental conservation policies and programs.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Substantive green innovation or symbolic green innovation? The impact of ER on enterprise green innovation based on the dual moderating effects
    Lian, Ganghui
    Xu, Aiting
    Zhu, Yuhan
    JOURNAL OF INNOVATION & KNOWLEDGE, 2022, 7 (03):
  • [22] Impact of the National Ecological Civilization Construction Demonstration Zone on corporate ESG: Evidence from China
    Qin, Li
    Feng, Yin
    Wang, Ran
    Wang, Yue
    ECOLOGICAL INDICATORS, 2024, 166
  • [23] Does smart city construction promote urban green development? Evidence from a double machine learning model
    Jiang, Yuchen
    Sun, Jiasen
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 373
  • [24] New industrial land use policy and firms' green technology innovation in China-an empirical study based on double machine learning model
    Gao, Ziwang
    Cai, Lihui
    Zhang, Xiaolu
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [25] Understanding the impact of environmental regulations on green technology innovation efficiency in the construction industry
    Zhang, Jingxiao
    Ouyang, You
    Ballesteros-Perez, Pablo
    Li, Hui
    Philbin, Simon P.
    Li, Zhaoling
    Skitmore, Martin
    SUSTAINABLE CITIES AND SOCIETY, 2021, 65
  • [26] Research on the impact path of ecological civilization construction on carbon emission based on fsQCA method
    Cao, Ping
    Chen, Ruilin
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [27] The impact of digital transformation on green innovation: Novel evidence from firm resilience perspective
    Luo, Qi
    Deng, Lisha
    Zhang, Zeming
    Wang, Hao
    FINANCE RESEARCH LETTERS, 2025, 74
  • [28] The Impact of Green Innovation on Carbon Emissions: Evidence from the Construction Sector in China
    Li, Xinping
    Qin, Qiongxia
    Yang, Yongliang
    ENERGIES, 2023, 16 (11)
  • [29] The Mechanism of Influencing Green Technology Innovation Behavior: Evidence from Chinese Construction Enterprises
    Li, Xingwei
    Huang, Yicheng
    Li, Jingru
    Liu, Xiang
    He, Jinrong
    Dai, Jiachi
    BUILDINGS, 2022, 12 (02)
  • [30] Smart city construction and green technology innovation: evidence at China’s city level
    Yanan Tang
    Yong Qi
    Tingting Bai
    Chi Zhang
    Environmental Science and Pollution Research, 2023, 30 : 97233 - 97252