TY - JOUR
T1 - Zoning policy performance in China
T2 - Network insights from 77 Yellow River counties in Shandong, China
AU - Gong, Mimi
AU - Ran, Maofang
AU - Huang, Qiang
AU - Cheng, Yan
AU - Xia, Haonan
AU - Yao, Yihan
AU - Wang, Qian
AU - Xiang, Wei
AU - Jin, Meiying
AU - Han, Zile
AU - Zhai, Jun
AU - Li, Xiaomin
AU - Zhou, Qi
AU - Qu, Shen
AU - A, Yinglan
AU - Wang, Guoqiang
N1 - Publisher Copyright:
© 2026 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
PY - 2026/8
Y1 - 2026/8
N2 - In response to the global call for sustainable development, China launched the “Three Lines and One List” zoning policy in 2022, designating land into preferred conservation, key control, and general management units. However, current tools remain insufficient for systematic evaluation and science-based policy refinement. This study assesses the performance of 67 ecological, economic, social, and water-related indicators—compiled from multi-source datasets—across 77 districts in Shandong Province, a key region at the Yellow River estuary. The results show notable ecological improvement from 2013 to 2020. Moreover, using 47 representative indicators, we construct a complex network grounded in the “product space” method from development economics to reveal synergistic relationships among indicators and identify structurally important indicators and strategic counties for policy guidance. Key “bridge” indicators—such as Vegetation carbon sequestration (VCS), Pesticide use tonnage (PUT), and water consumption—and critical regions like Boxing county exhibit high centrality and connectivity, underscoring their potential to influence system-wide outcomes. Aligned with other conservation policies, findings suggest differentiated strategies: preferred conservation zones should strengthen carbon monitoring, key control zones should promote water–carbon synergies, and general management units should adopt green technologies to enhance agricultural productivity. Taking Boxing as a case study, we offer a scalable framework for robust, long-term evaluation of zoning policies and integrated river basin governance.
AB - In response to the global call for sustainable development, China launched the “Three Lines and One List” zoning policy in 2022, designating land into preferred conservation, key control, and general management units. However, current tools remain insufficient for systematic evaluation and science-based policy refinement. This study assesses the performance of 67 ecological, economic, social, and water-related indicators—compiled from multi-source datasets—across 77 districts in Shandong Province, a key region at the Yellow River estuary. The results show notable ecological improvement from 2013 to 2020. Moreover, using 47 representative indicators, we construct a complex network grounded in the “product space” method from development economics to reveal synergistic relationships among indicators and identify structurally important indicators and strategic counties for policy guidance. Key “bridge” indicators—such as Vegetation carbon sequestration (VCS), Pesticide use tonnage (PUT), and water consumption—and critical regions like Boxing county exhibit high centrality and connectivity, underscoring their potential to influence system-wide outcomes. Aligned with other conservation policies, findings suggest differentiated strategies: preferred conservation zones should strengthen carbon monitoring, key control zones should promote water–carbon synergies, and general management units should adopt green technologies to enhance agricultural productivity. Taking Boxing as a case study, we offer a scalable framework for robust, long-term evaluation of zoning policies and integrated river basin governance.
KW - China
KW - Network analysis
KW - Product space
KW - Sustainable development
KW - Zoning policy
UR - https://www.scopus.com/pages/publications/105038993547
U2 - 10.1016/j.jes.2025.09.060
DO - 10.1016/j.jes.2025.09.060
M3 - Article
AN - SCOPUS:105038993547
SN - 1001-0742
VL - 166
SP - 391
EP - 401
JO - Journal of Environmental Sciences (China)
JF - Journal of Environmental Sciences (China)
ER -