Analysis of spatial correlation characteristics and key factors of regional environmental governance efficiency in China-Reference-Cited by-同舟云学术

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Analysis of spatial correlation characteristics and key factors of regional environmental governance efficiency in China

Published:2023-10-31 Issue: Volume: Page:
ISSN:1387-585X
Container-title:Environment, Development and Sustainability
language:en
Short-container-title:Environ Dev Sustain

Author:

Zhu Youbin,Hou Hui,Zhang Minglang,Hou Shilin

Funder

Social Science Foundation of Liaoning Province

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10668-023-04057-4.pdf

Reference83 articles.

1. Anselin, L. (1988). Spatial Econometrics: Methods and Models (1st ed.). Springer.

2. Atouba, Y., & Shumate, M. (2014). International nonprofit collaboration: Examining the role of homophily. Nonprofit and Voluntary Sector Quarterly. https://doi.org/10.1177/0899764014524991

3. Bai, C., Zhou, L., Xia, M., & Feng, C. (2020). Analysis of the spatial association network structure of China’s transportation carbon emissions and its driving factors. Journal of Environmental Management, 253, 109765. https://doi.org/10.1016/j.jenvman.2019.109765

4. Barnes-Dabban, H., van Koppen, C. K., & van Tatenhove, J. P. (2018). Regional convergence in environmental policy arrangements: A transformation towards regional environmental governance for West and Central African ports? Ocean & Coastal Management., 163, 151–161. https://doi.org/10.1016/j.ocecoaman.2018.06.013

5. Bu, Y., Wang, E., & Jiang, Z. (2021). Evaluating spatial characteristics and influential factors of industrial wastewater discharge in China: A spatial econometric approach. Ecological Indicators, 121, 107219. https://doi.org/10.1016/j.ecolind.2020.107219

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