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评估国家革命老区振兴规划对绿色发展的影响。

Assessing the impact of the national revitalization plan for old revolutionary base areas on green development.

作者信息

Yao Shunbo, Cui Xuehua, Hou Mengyang, Lu Weinan, Xie Yalin, Xi Zenglei, Liu Chao, Shao Huizhao, Shan Yaojun

机构信息

School of Digital Economics and Trade, Guangzhou Huashang College, Guangzhou, 511300, China.

School of Economics, Hebei University, Baoding, 071000, China.

出版信息

Sci Rep. 2024 Oct 26;14(1):25506. doi: 10.1038/s41598-024-77509-0.

DOI:10.1038/s41598-024-77509-0
PMID:39462083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11513074/
Abstract

Achieving green development in Old Revolutionary Base Areas (ORBAs) is an urgent task to narrow the regional gap and promote high-quality development. Starting from the dual perspective of development and environment, this paper used the Multi-period DID model to assess the impacts of the National Revitalization Plan (NRP) for ORBAs on economic growth and environmental quality, as well as its transmission mechanism, and to explore whether the implementation of the plan can promote the covered areas to achieve green development. The results find that the implementation of NRP boosts the ORBAs to achieve green development. The NRP realize green development through industrial restructuring, technological progress, ecological space governance, and public service provision. The ORBAs of Jiangxi-Fujian- Guangdong, Left-Right River, and Sichuan-Shaanxi, counties situated in mountainous terrain and with higher quartile of economy and environment play a more prominent role in promoting green development. This study provides practical inspiration and theoretical reference for ORBAs to realize green development.

摘要

在革命老区实现绿色发展是缩小区域差距、推动高质量发展的一项紧迫任务。本文从发展与环境的双重视角出发,运用多期双重差分模型评估国家革命老区振兴规划对经济增长和环境质量的影响及其传导机制,并探讨该规划的实施能否促进规划覆盖地区实现绿色发展。研究结果表明,国家革命老区振兴规划的实施推动了革命老区实现绿色发展。该规划通过产业结构调整、技术进步、生态空间治理和公共服务供给实现绿色发展。在江西—福建—广东、左右江、川陕革命老区中,位于山区且经济和环境处于较高四分位数的县在促进绿色发展方面发挥的作用更为突出。本研究为革命老区实现绿色发展提供了实践启示和理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/ac8b0ae878aa/41598_2024_77509_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/1343ec34db28/41598_2024_77509_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/d128b6624044/41598_2024_77509_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/709d7a66262b/41598_2024_77509_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/91e290e21d44/41598_2024_77509_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/ac8b0ae878aa/41598_2024_77509_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/1343ec34db28/41598_2024_77509_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/d128b6624044/41598_2024_77509_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/709d7a66262b/41598_2024_77509_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/91e290e21d44/41598_2024_77509_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe0/11513074/ac8b0ae878aa/41598_2024_77509_Fig5_HTML.jpg

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