Research on disaster and accident trans-regional collaborative governance community based on fsQCA

doi:10.16265/j.cnki.issn1003-3033.2024.10.0525

Abstract

Abstract:

In order to facilitate the rapid formation of a disaster and accident trans-regional collaborative governance community in response to major emergencies, this study employed fsQCA. It investigated fourteen cases by selecting seven conditional variables across three dimensions: Incentives, mechanisms, and guarantees. These variables included value consensus, existential threats, administrative mobilization, collaborative linkage mechanisms, interest equilibrium mechanisms, legal guarantees, and digital intelligence technologies. The study explored the core influencing factors and the complex causal relationships in the formation of the disaster and accident trans-regional collaborative governance community. Configurational analysis identified three patterns of community formation: party-government-led, value-driven, and crisis-triggered, with each pattern corresponding to typical cases in the case database. The findings reveal that collaborative linkage mechanisms are a necessary condition for the formation of emergency management communities, while the other six variables cannot individually serve as necessary conditions. Optimizing the functionality of collaborative linkage mechanisms can effectively promote the development of trans-regional emergency management communities.

Key words: disaster and accident, trans-regional collaborative governance, governance efficiency, governance community, fuzzy-set qualitative comparative analysis(fsQCA)

CLC Number:

X915.5

SHEN Xia. Research on disaster and accident trans-regional collaborative governance community based on fsQCA[J]. China Safety Science Journal, 2024, 34(10): 205-213.

Figures/Tables 6

Table 1

Basic information about representative cases

序号	案例		年份		案例说明
1	“8+1”武汉城市圈安全生产应急救援联动合作		2007		武汉、黄石、黄冈、孝感、咸宁、鄂州、仙桃、潜江、天门市通过联合制定安全生产应急救援联动制度,保障遭遇危机事件时实现应急资源共享,开展应急救援合作
2	泛珠三角区域内地9省(区)应急管理区域合作		2009		福建、江西、湖南、广东、广西、海南、四川、贵州、云南省(区)建立了全国首个省际应急管理联动机制,推进应急管理区域合作
3	陕西省甘肃省探索交界地区治安防控协作		2010		陕西、甘肃通过互通警情,定期召开治安防控研判联席会议,相互协作缉捕逃犯、打击流窜犯罪
4	陕、晋、蒙、豫4省(区)黄河中游应急管理合作		2011		陕西、山西、内蒙古、河南4省(区)从应急联动工作定期会议制度、灾害事故信息快速通报机制、应急联动响应机制、平台建设协作机制、基层应急管理合作机制5个方面建立合作关系,共同应对区域突发事件
5	黑吉辽蒙应急管理合作机制		2011		黑龙江、吉林、辽宁、内蒙古4省(区)签订了《东北4省区应急管理合作协议》,在森林防火、环境保护、事故救援等一系列突发事件中,4省区互通信息,资源共享,密切合作
6	长江三角洲地区大气污染防治协作		2014		长三角大气污染防治协作机制包含加快落实6个重点任务,通过《长三角区域落实大气污染防治行动计划实施细则》和《长三角区域大气污染防治协作2014年工作重点》,发布地方性的“大气污染防治条例”等
7	沪苏浙皖3省一市应急管理合作		2015		上海、江苏、浙江、安徽3省一市签署《上海江苏浙江安徽应急管理合作协议》加强区域应急管理合作
8	京津冀应急管理协作		2016		京津冀3地通过签订《北京市、天津市、河北省应急管理工作合作协议》《京津冀应急救援协作框架协议》,在药品安全、雾霾治理、应急救援等多个领域加强跨域应急协同工作
9	长三角毗邻地区新冠肺炎疫情联防联控机制		2020		长三角各毗邻地区围绕道口跨界联合防控问题、毗邻地区跨省通勤问题、全力保障企业复产问题等问题合作共治
10	安徽洪水治理共同体		2020		安徽省围绕洪涝灾害全过程防治形成以党委、政府、军队为主,社会组织、群众为辅的危机治理共同体联动合作局面,初步形成危机治理共同体雏形,取得了显著成效
11	川渝森林防灭火联防联控联动合作		2023		川渝两地毗邻市区县如果发生火灾,将在人员、装备、交通、医疗、后勤等方面相互支援,确保及时、安全、高效扑救森林火灾
12	沪苏交界水域船舶污染应急联动合作		2023		沪苏两地海事部门双方将充分发挥各自优势,实现应急资源有机整合,共同做好沪苏交界水域船舶污染事件的预警与应对,更好地保障长江水域环境清洁和人民群众饮水安全
13	黄河流域应急救援力量青岛“结盟”	2023		山西、河南、四川、陕西、甘肃、青海、山东7省17城市红十字会和12支社会应急救援组织建立首个覆盖黄河中下游的红十字应急救援合作机制
14	青藏片区跨域应急救援联勤联动联战协作	2023		西藏和青海消防救援总队“战时互援、平时互助,应急联动、救援联勤”,细化完善联动举措、责任分工,拿出时间表、画出路线图一体协同抓落实,切实推动两省(区)灭火救援工作共同进步

Table 1

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Table 3

Table 4

Table 5

Table 6

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变量类型	变量名称	赋值规则
结果变量	灾害事故跨域协同治理共同体成熟度Y	按照主体、规则、行动3个维度,都不符合赋值为0,符合1个赋值为0.33,符合2个赋值0.67,符合3个赋值为1
条件变量 (诱因)	价值共识X₁	不存在价值共识为0,价值共识发挥作用较小为0.33,价值共识发挥一般作用为0.67,价值共识发挥重要作用为1
	威胁认知X₂	不存在威胁认知为0,威胁认知发挥作用较小为0.33,威胁认知发挥作用一般为0.67,威胁认知发挥重要作用为1
	行政动员X₃	不存在行政动员为0,行政动员发挥作用较小为0.33,行政动员发挥作用一般为0.67,行政动员发挥重要作用为1
条件变量 (机制)	协同联动机制X₄	不存在协同联动机制为0,协同联动机制发挥作用较小为0.33,协同联动机制发挥一般作用为0.67,协同联动机制发挥重要作用为1
条件变量 (机制)	利益均衡机制X₅	不存在利益均衡机制为0,利益均衡机制发挥作用较小为0.33,利益均衡机制发挥一般作用为0.67,利益均衡机制发挥重要作用为1
条件变量 (保障)	法制保障X₆	不存在法制保障为0,法制保障作用较小为0.33,法制保障发挥一般作用为0.67法制保障发挥重要作用为1
条件变量 (保障)	数智技术X₇	不存在数智技术为0,数智技术发挥作用较小为0.33,数智技术发挥一般作用为0.67,数智技术发挥重要作用为1

变量	一致性	覆盖度	变量	一致性	覆盖度
X₁	0.747 500	0.690 531	~X₁	0.582 500	0.872 659
X₂	0.706 250	0.809 456	~X₂	0.582 500	0.663 818
X₃	0.583 750	0.777 038	~X₃	0.622 500	0.623 279
X₄	1.000 000	0.665 557	~X₄	0.247 500	1.000 000
X₅	0.623 750	0.833 055	~X₅	0.665 000	0.664 170
X₆	0.830 000	1.000 000	~X₆	0.665 000	0.722 826
X₇	0.542 500	0.929 336	~X₇	0.663 750	0.569 132

X₁	X₂	X₃	X₄	X₅	X₆	X₇	案例数量	成熟度	原始一致性	PRI一致性	SYM一致性
0	1	0	1	0	1	0	1	1	1	1	1
1	0	1	1	1	1	1	1	1	1	1	1
1	0	0	1	0	1	0	1	1	0.96	0.82	1
1	1	1	1	1	0	0	1	1	0.95	0.82	1
1	1	0	1	0	0	1	1	1	0.93	0.82	1
0	1	1	1	1	0	1	1	1	0.93	0.82	1
0	0	1	1	1	0	1	1	1	0.92	0.82	1
0	0	1	1	0	1	1	1	1	0.93	0.82	1
1	1	0	1	0	0	0	1	0	0.80	0.12	0.15
0	0	1	1	0	0	0	1	0	0.76	0.12	0.15
0	0	1	1	1	0	0	1	0	0.68	0.12	0.15
1	0	0	1	0	0	0	3	0	0.63	0.04	0.06

中间解组合	原始覆盖度	唯一覆盖度	一致性
~X₁ X₃X₄X₅~X₆*X₇	0.213	0.108	0.904
X₁ ~X₂~X₃X₄~X₅X₆~X₇	0.29	0.08	0.963
~X₁ X₂~X₃X₄~X₅X₆~X₇	0.249	0.118	1
X₁ X₂~X₃X₄~X₅~X₆X₇	0.159	0.08	0.934
~X₁ ~X₂X₃X₄~X₅X₆X₇	0.159	0.054	0.934
X₁ X₂X₃X₄X₅~X₆~X₇	0.211	0.08	0.949
X₁ ~X₂X₃X₄X₅X₆X₇	0.196	0.091	1
总解覆盖度	0.873
总解一致性	0.928

条件变量	H1	H2	H3	H4	H5	H6	H7
X₁	ɤ	●	ɤ	●	ɤ	●	●
X₂		ɤ	●	●	ɤ	●	ɤ
X₃	●	ɤ	ɤ	ɤ	●	●	●
X₄	●	●	●	●	●	●	●
X₅	●	ɤ	ɤ	ɤ	ɤ	●	●
X₆	ɤ	●	●	ɤ	●	ɤ	●
X₇	●	ɤ	ɤ	●	●	ɤ	●