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Article(id=1322944333162348561, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322942934613635295, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.05.020, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1747238400000, receivedDateStr=2025-05-15, revisedDate=1757260800000, revisedDateStr=2025-09-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1793344108142, onlineDateStr=2026-10-30, pubDate=1779638400000, pubDateStr=2026-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793344108142, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793344108142, creator=13701087609, updateTime=1793344108142, updator=13701087609, issue=Issue{id=1322942934613635295, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='5', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='1779638400000', pubDateStr='2026-05-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793343774703, creator='13701087609', updateTime=1793344699149, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946812499329386, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322942934613635295, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946812499329387, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322942934613635295, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=201, endPage=213, ext={EN=ArticleExt(id=1322944335276277778, articleId=1322944333162348561, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Measurement, disparities, and obstacle factor analysis of safety resilience in China's Camellia oleifera, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【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.

, authors=Jue ZHOU1, Maolin YAN2, Xin NIU2, Zibo LIU3, Yang ZHANG4, authorsList=Jue ZHOU, Maolin YAN, Xin NIU, Zibo LIU, Yang ZHANG, authorCompany=null, correspAuthors=Maolin YAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=© 2026 Journal of Central South University of Forestry & Technology, copyrightOwner=Journal of Central South University of Forestry & Technology, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322944336526180372, articleId=1322944333162348561, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=中国油茶安全韧性的测度、差异和障碍度分析, columnId=1322944335360163859, journalTitle=中南林业科技大学学报, columnName=农林经济与管理, runingTitle=null, highlight=null, articleAbstract=
【目的】

通过测度全国、核心发展区及重点拓展区的油茶安全韧性水平，衡量油茶不同产区和不同省份的空间分异程度，探索影响油茶韧性水平的障碍因素，为推动油茶产业高质量发展和有效提升油料油脂整体安全水平提供科学依据与实践路径。

【方法】

构建油茶安全韧性综合指标，综合运用熵值法、泰尔指数、ArcGIS自然间断点分级法等对全国15个油茶生产省（区、市）2010—2022年油茶安全韧性水平的空间分布特征、差异及演变趋势进行研究，利用障碍度分析探索制约油茶安全韧性水平提升的影响因素。

【结果】

1）全国油茶总体韧性水平均值持续增长，不同产区及各省份安全韧性水平也呈现上升态势，油茶抵御风险和对抗冲击的能力显著增强。截至2022年，2个省份成为油茶安全高度韧性省份，12个省份成为油茶安全中度韧性省份。2）中国油茶安全韧性的泰尔指数呈现先下降后上升的“U”字形变化，省域的油茶安全韧性差距存在进一步扩大的情况且主要是由区域内差异造成的。3）产运销鲁棒性、产业协作性、科技进步性以及林业投资完成额、财政科技支出、油茶种植面积等对全国及两大产区油茶安全韧性水平提升的影响较大。

【结论】

全国及两大产区的油茶安全韧性水平均不断提升，但省域油茶安全韧性差异呈现进一步分异的态势。因此，实施区域协同发展与精准施策、靶向破解关键障碍因子、强化全产业链协同联动与市场驱动是提升油茶安全韧性的关键举措。

, authors=周觉1, 严茂林2, 牛昕2, 刘自搏3, 张洋4, authorsList=周觉, 严茂林, 牛昕, 刘自搏, 张洋, authorCompany=null, correspAuthors=严茂林, authorNote=

周觉（），副教授，博士，硕士研究生导师。

, correspAuthorsNote=
严茂林（），硕士，助理研究员。
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周觉（），副教授，博士，硕士研究生导师。

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周觉（），副教授，博士，硕士研究生导师。

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中国油茶安全韧性的测度、差异和障碍度分析
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周觉 1 , 严茂林 2 , 牛昕 2 , 刘自搏 3 , 张洋 4
中南林业科技大学学报 | 农林经济与管理 2026,46(5): 201-213
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中南林业科技大学学报 |农林经济与管理 2026 , 46 (5) : 201 -213
中国油茶安全韧性的测度、差异和障碍度分析
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周觉1 , 严茂林2 , 牛昕2, 刘自搏3, 张洋4
作者信息
  • 1.北京信息科技大学　经济管理学院，北京　100192
  • 2.国家林业和草原局管理干部学院，北京　102600
  • 3.国家林业和草原局林草调查规划院，北京　100013
  • 4.北京林业大学　经济管理学院，北京　100083
通讯作者:
严茂林（），硕士，助理研究员。
作者简介:

周觉（），副教授，博士，硕士研究生导师。

Measurement, disparities, and obstacle factor analysis of safety resilience in China's Camellia oleifera
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
出版时间: 2026-05-25 doi: 10.14067/j.cnki.1673-923x.2026.05.020
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摘要
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【目的】

通过测度全国、核心发展区及重点拓展区的油茶安全韧性水平，衡量油茶不同产区和不同省份的空间分异程度，探索影响油茶韧性水平的障碍因素，为推动油茶产业高质量发展和有效提升油料油脂整体安全水平提供科学依据与实践路径。

【方法】

构建油茶安全韧性综合指标，综合运用熵值法、泰尔指数、ArcGIS自然间断点分级法等对全国15个油茶生产省（区、市）2010—2022年油茶安全韧性水平的空间分布特征、差异及演变趋势进行研究，利用障碍度分析探索制约油茶安全韧性水平提升的影响因素。

【结果】

1）全国油茶总体韧性水平均值持续增长，不同产区及各省份安全韧性水平也呈现上升态势，油茶抵御风险和对抗冲击的能力显著增强。截至2022年，2个省份成为油茶安全高度韧性省份，12个省份成为油茶安全中度韧性省份。2）中国油茶安全韧性的泰尔指数呈现先下降后上升的“U”字形变化，省域的油茶安全韧性差距存在进一步扩大的情况且主要是由区域内差异造成的。3）产运销鲁棒性、产业协作性、科技进步性以及林业投资完成额、财政科技支出、油茶种植面积等对全国及两大产区油茶安全韧性水平提升的影响较大。

【结论】

全国及两大产区的油茶安全韧性水平均不断提升，但省域油茶安全韧性差异呈现进一步分异的态势。因此，实施区域协同发展与精准施策、靶向破解关键障碍因子、强化全产业链协同联动与市场驱动是提升油茶安全韧性的关键举措。

油茶  /  安全韧性  /  核心发展区  /  重点拓展区  /  熵值法  /  泰尔指数  /  障碍度
【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
基金
收起
  • 国家自然科学基金项目(42371212)
  • 农业农村部财政经费项目(JGHX202008)
  • 国家林业和草原局管理干部学院重点项目(202308)
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2026年第46卷第5期
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doi: 10.14067/j.cnki.1673-923x.2026.05.020
  • 接收时间：2025-05-15
  • 首发时间：2026-10-30
  • 出版时间：2026-05-25
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  • 收稿日期：2025-05-15
  • 修回日期：2025-09-08
基金
国家自然科学基金项目(42371212)
农业农村部财政经费项目(JGHX202008)
国家林业和草原局管理干部学院重点项目(202308)
作者信息
    1.北京信息科技大学　经济管理学院，北京　100192
    2.国家林业和草原局管理干部学院，北京　102600
    3.国家林业和草原局林草调查规划院，北京　100013
    4.北京林业大学　经济管理学院，北京　100083

通讯作者:

严茂林（），硕士，助理研究员。
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2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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