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Measurement, disparities, and obstacle factor analysis of safety resilience in China's Camellia oleifera
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Jue ZHOU1, Maolin YAN2, Xin NIU2, Zibo LIU3, Yang ZHANG4
Journal of Central South University of Forestry & Technology | 2026, 46(5) : 201 - 213
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Journal of Central South University of Forestry & Technology | 2026, 46(5): 201-213
Measurement, disparities, and obstacle factor analysis of safety resilience in China's Camellia oleifera
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Jue ZHOU1, Maolin YAN2, Xin NIU2, Zibo LIU3, Yang ZHANG4
Affiliations
  • 1.School of Economics and Management, Beijing University of Information Technology, Beijing 100192, China
  • 2.State Academy of Forestry and Grassland Administration, Beijing 102600, China
  • 3.Forestry and Grassland Survey and Planning Institute of the National Forestry and Grassland Administration, Beijing 100013, China
  • 4.School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Published: 2026-05-25 doi: 10.14067/j.cnki.1673-923x.2026.05.020
Outline
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【Objective】

By measuring the safety resilience levels of Camellia oleifera across the nation, core development regions, and key expansion areas, assessing spatial disparities among different production zones and provinces, and identifying obstacle factors affecting resilience, this study aims to provide actionable pathways for promoting high-quality industry development and enhancing overall Camellia oleifera security.

【Method】

A comprehensive safety resilience index system for Camellia oleifera was constructed. Using the entropy weight method, Theil index, and ArcGIS natural breaks classification, we analyzed the spatial distribution, regional disparities, and evolutionary trends of safety resilience across 15 major Camellia oleifera-producing provinces (autonomous regions/municipalities) from 2010 to 2022. Obstacle degree analysis was further employed to identify key constraining factors.

【Result】

1) The national average resilience level of Camellia oleifera exhibited sustained growth, with upward trends observed across different production zones and provinces, indicating significantly enhanced risk resistance and shock adaptability. By 2022, two provinces achieved high resilience status, while 12 were classified as moderately resilient; 2) The Theil index of Camellia oleifera safety resilience displayed a U-shaped trend, initially declining before rising, suggesting widening inter-provincial disparities primarily driven by intra-regional differences; 3) Key influencing factors included production-transportation-sales robustness, industrial coordination, technological advancement, forestry investment, fiscal expenditure on science and technology, and Camellia oleifera cultivation area, which substantially impacted resilience enhancement at both national and regional levels.

【Conclusion】

While safety resilience in Camellia oleifera production has strengthened nationwide and within major regions, inter-provincial disparities show signs of further divergence. Therefore, implementing regionally coordinated and precisely targeted policies, targeted mitigation of key obstacle factors, and enhancing holistic industrial chain synergy and market-driven mechanisms are critical strategies for improving Camellia oleifera safety resilience.

Camellia oleifera  /  safety resilience  /  core development region  /  key expansion area  /  entropy weight method  /  Theil index  /  obstacle degree
周觉, 严茂林, 牛昕, 刘自搏, 张洋. 中国油茶安全韧性的测度、差异和障碍度分析. 中南林业科技大学学报, 2026 , 46 (5) : 201 -213 . DOI: 10.14067/j.cnki.1673-923x.2026.05.020
Jue ZHOU, Maolin YAN, Xin NIU, Zibo LIU, Yang ZHANG. Measurement, disparities, and obstacle factor analysis of safety resilience in China's Camellia oleifera[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (5) : 201 -213 . DOI: 10.14067/j.cnki.1673-923x.2026.05.020
Year 2026 volume 46 Issue 5
11
2
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Article Info
doi: 10.14067/j.cnki.1673-923x.2026.05.020
  • Receive Date:2025-05-15
  • Online Date:2026-10-30
  • Published:2026-05-25
Article Data
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History
  • Received:2025-05-15
  • Revised:2025-09-08
Funding
Affiliations
    1.School of Economics and Management, Beijing University of Information Technology, Beijing 100192, China
    2.State Academy of Forestry and Grassland Administration, Beijing 102600, China
    3.Forestry and Grassland Survey and Planning Institute of the National Forestry and Grassland Administration, Beijing 100013, China
    4.School of Economics and Management, Beijing Forestry University, Beijing 100083, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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