Exploring the Impact of Green Technology Innovation on Rural Habitat System Resilience

Rural areas play an important role in the energy transition process, and understanding the impact of green innovation on rural habitat system resilience is highly important. Using data from 30 provinces in China from 2011 to 2022, this study employs the entropy method to quantify rural habitat system resilience and examines the relationship between green innovation and rural habitat system resilience using a fixed-effects model. The results indicate that for every one-unit increase in green innovation, rural habitat system resilience increases by 0.012–0.018 units. Robustness tests, including replacing the core explanatory variables, introducing a one-period lag for core explanatory variables, and substituting a fixed-effects model with the system GMM model, confirm the reliability of the findings. Heterogeneity analysis reveals that green innovation has the greatest effect on enhancing rural habitat system resilience in China’s central region. Further analysis demonstrates that green innovation indirectly strengthens rural habitat system resilience by increasing public concern about environmental pollution and reinforcing environmental regulation. These findings provide a scientific basis for improving the environmental resilience of rural communities by integrating life, production, and ecological systems through technological innovation in the context of carbon neutrality. They also contribute to the advancement of sustainable development through nature-based solutions.

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Publication Details

Journal
Agriculture
Published
2025-04-24
DOI
https://doi.org/10.3390/agriculture15090925
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21

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article

Exploring the Impact of Green Technology Innovation on Rural Habitat System Resilience

Wei He, Nengxiang Xu, Chulin Chen, Shouyun Shen et al.
2 citations
Agriculture
Land Use and Ecosystem Services
2.21
article

Exploring the Impact of Green Technology Innovation on Rural Habitat System Resilience

Wei He, Nengxiang Xu, Chulin Chen, Shouyun Shen, Yang Su
article en
2 citations

Abstract

Rural areas play an important role in the energy transition process, and understanding the impact of green innovation on rural habitat system resilience is highly important. Using data from 30 provinces in China from 2011 to 2022, this study employs the entropy method to quantify rural habitat system resilience and examines the relationship between green innovation and rural habitat system resilience using a fixed-effects model. The results indicate that for every one-unit increase in green innovation, rural habitat system resilience increases by 0.012–0.018 units. Robustness tests, including replacing the core explanatory variables, introducing a one-period lag for core explanatory variables, and substituting a fixed-effects model with the system GMM model, confirm the reliability of the findings. Heterogeneity analysis reveals that green innovation has the greatest effect on enhancing rural habitat system resilience in China’s central region. Further analysis demonstrates that green innovation indirectly strengthens rural habitat system resilience by increasing public concern about environmental pollution and reinforcing environmental regulation. These findings provide a scientific basis for improving the environmental resilience of rural communities by integrating life, production, and ecological systems through technological innovation in the context of carbon neutrality. They also contribute to the advancement of sustainable development through nature-based solutions.

AgricultureVol. 15(9)
Central South University of Forestry and Technology (CN), Central South University (CN), Xinjiang Agricultural University (CN)
Natural Science Foundation of Hunan Province
Openalex Percentile: Top 14%
Land Use and Ecosystem Services
2.21
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Exploring the Impact of Green Technology Innovation on Rural Habitat System Resilience — Wei He, Nengxiang Xu, et al. · Agriculture (2025) | TGRS Research Map | TGRS