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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Policy and Governance
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1514582

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

Provisionally accepted
Cunlin Li Cunlin Li Shiyu Zhang Shiyu Zhang *Baojun Yang Baojun Yang
  • North Minzu University, Yinchuan, China

The final, formatted version of the article will be published soon.

    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.

    Keywords: ecological civilization demonstration zones, green innovation resilience, Double machine learning, spatial difference-in-differences model, China

    Received: 21 Oct 2024; Accepted: 23 Dec 2024.

    Copyright: © 2024 Li, Zhang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Shiyu Zhang, North Minzu University, Yinchuan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.