水-能源-粮食纽带系统的风险测度与韧性提升研究

doi:10.16381/j.cnki.issn1003-207x.2024.1708

Abstract

Abstract:

The traditional literature primarily examines the interplay between water， energy， and food in the context of sustainable development， drawing from disciplines like environment， geography， and ecology， as well as the long-term evolution of the system. In light of the escalating frequency and severity of natural and social emergencies， there is a pressing need to investigate strategies for enhancing the resilience and resistance of the water-energy-food linkage system to low probability emergencies. However， a comprehensive theoretical framework in this area is currently lacking， as well as research paradigms and a global understanding of the issue. Consequently， it seeks to comprehensively summarize quantitative research literature on the water-energy-food linkage system in this article， focusing on mechanism modeling， risk measurement， and resilience enhancement. Additionally， it explores the future trend of digital technology empowering resilience research in this field through cross-scale risk measurement and intelligent decision-making， leveraging the advancements in big data and artificial intelligence technology.

Key words: water-energy-food nexus, operation modeling, risk measurement, resilience evaluation, resilience improvement

CLC Number:

X913

Jie Song, Jingsi Huang, Guannan He, Jianxiao Wang. Risk Measurement and Resilience Improvement of Water-Energy-Food Coupling Systems[J]. Chinese Journal of Management Science, 2025, 33(1): 323-334.

Figures/Tables 7

References 95

1	Davis N ．Global risks 2011 report （6th edition）［R］.Discussion Paper， World Economic Forum， 2011.
2	李桂君，李玉龙，贾晓菁，等. 北京市水-能源-粮食可持续发展系统动力学模型构建与仿真［J］. 管理评论， 2016， 28（10）： 11-26.
	Li G J， Li Y L Jia X J， et al. Establishment and simulation study of system dynamic model on sustainable development of water-energy-food nexus in Beijing［J］. Management Review， 2016， 28（10）： 11-26.
3	林志慧，刘宪锋，陈瑛，等. 水-粮食-能源纽带关系研究进展与展望［J］. 地理学报， 2021， 76（7）： 1591-1604.
	Lin Z H， Liu X F， Chen Y， et al. Water-food-energy nexus： Progress， challenges and prospect［J］. Acta Geographica Sinica， 2021， 76（7）： 1591-1604.
4	王慧敏，洪俊，刘钢. “水-能源-粮食”纽带关系下区域绿色发展政策仿真研究［J］. 中国人口·资源与环境， 2019， 29（6）： 74-84.
	Wang H M， Hong J， Liu G. Simulation research on different policies of regional green development under the nexus of water-energy-food［J］. China Population， Resources and Environment， 2019， 29（6）： 74-84.
5	Zhang Q， Xu C. Y， Tao H，et al. Climate changes and their impacts on water resources in the arid regions： A case study of the tarim river basin，China［J］． Stochastic Environmental Research and Risk Assessment， 2010， 24（3）： 349-358.
6	Zhang C， Chen X， Li Y， et al. Water-energy-food nexus： Concepts， questions and methodologies［J］. Journal of Cleaner Production， 2018， 195： 625-639.
7	Zhang W， Zhou T， Wu P. Anthropogenic amplification of precipitation variability over the past century［J］. Science， 2024， 385（6707）： 427-432.
8	Park J， Seager T P， Rao P S C， et al. Integrating risk and resilience approaches to catastrophe management in engineering systems［J］. Risk Analysis， 2013， 33（3）： 356-367.
9	Holling C S. Resilience and stability of ecosystems［J］. Annual Review of Ecology & Systematics， 1973， 4（1）：1-24.
10	洪流，赵晓波，汪寿阳，等. 供应链韧性与安全中的关键科学问题［J］. 中国科学基金， 2023， 37（3）： 418-428.
	Hong L， Zhao X B， Wang S Y， et al. Key scientific issues on supply chain resilience and securit［J］. Bulletin of National Natural Science Foundation of China， 2023， 37（3）： 418-428.
11	Hosseini S， Barker K， Ramirez-Marquez J E. A review of definitions and measures of system resilience［J］. Reliability Engineering & System Safe， 2016， 145： 47-61.
12	王浩，姜珊，朱永楠，等. 中国水-能-粮耦合系统协同安全发展战略研究［J］. 中国水利， 2024， 17， 5-12.
	Wang H， Jiang S， Zhu Y N， et al. Research on the collaborative safety development strategy of water-energy-food nexus in China［J］. China Water Resources， 2024， 17， 5-12.
13	Xu Z， Chen X， Liu J， et al. Impacts of irrigated agriculture on food-energy-water-CO₂ nexus across metacoupled systems［J］. Nature Communications， 2020， 11： 5837.
14	王煜，彭少明，郑小康，等. 水网布局下黄河流域应对极端枯水的关键科学问题［J］. 水科学进展， 2024， 35（1）： 11-23.
	Wang Yu， Peng S M， Zheng X K， et al. Key scientific issues of dealing with extreme dry events in the yellow river basinunder the layout of water netowrk［J］. Advances in Water Science， 2024， 35（1）： 11-23.
15	Huang J， Wu X， Zheng Z， et al. Multi-objective optimal operation of combined cascade reservoir and hydrogen system［J］. IEEE Transactions on Industry Applications， 2022， 58（2）： 2836-2847.
16	Huang J， Li W， Wu X， et al. A bi-level capacity planning approach of combined hydropower-hydrogen system［J］. Journal of Cleaner Production， 2021， 327（6054）： 129414.
17	王红瑞，赵伟静，邓彩云，等.水-能源-粮食纽带关系若干问题解析［J］.自然资源学报， 2022， 37（2）： 307-319.
	Wang H R， Zhao W J， Deng C Y， et al. Analysis on issues of water-energy-food nexus［J］. Journal of Natural Resources， 2022， 37（2）： 307-319.
18	Walsh M， Van Doren L， Shete N， et al. Financial trade offs of energy and food uses of algal biomass under stochastic conditions［J］. Applied Energy， 2018， 210： 591-603.
19	Naidoo D， Nhamo L， Mpandeli S， et al. Operationalising the water-energy-food nexus through the theory of change［J］. Renewable and Sustainable Energy Reviews， 2021， 149： 111416.
20	Huntington H P， Schmidt J， Loring P A， et al. Applying the food-energy-water nexus concept at the local scale［J］.Nature Sustainability， 2021， 4： 672-679.
21	Zhang W， Valencia A， Gu L， et al. Integrating emerging and existing renewable energy technologies into a community-scale microgrid in an energy-water nexus for resilience improvement［J］. Applied Energy， 2020， 279： 115716.
22	Wu Y， Yu G， Shao Q. Resilience benefit assessment for multi-scale urban flood control programs［J］. Journal of Hydrology， 2022， 613： 128349.
23	Sweetapple C， Fu G， Farmani R， et al. Exploring wastewater system performance under future threats： Does enhancing resilience increase sustainability？［J］. Water Research， 2019， 149： 448-459.
24	Schmidt J J， Matthews N. From state to system： Financialization and the water-energy-food-climate nexus［J］. Geoforum， 2018， 91： 151-159.
25	Rai P K. Role of water-energy-food nexus in environmental management and climate action［J］. Energy Nexus， 2023， 11： 100230.
26	Zhu Y， Zhang C， Fang J， et al. Paths and strategies for a resilient megacity based on the water-energy-food nexus［J］. Sustainable Cities and Society， 2022， 82： 103892.
27	Zhao Y， Zhang X， Xu J， et al. Water-energy-environment nexus under different urbanization patterns： A sensitivity-based framework for identifying key feedbacks［J］. Journal of Cleaner Production， 2023， 408： 137243.
28	Mun K G， Zhao Y， Rafique R A. Designing hydro supply chains for energy， food， and flood［J］. Manufacturing & Service Operations Management， 2020， DOI： 10.1287/msom.2019.0842 .
29	高静，王小琳，孙旭光，等. 基于ISM-AHP方法的新疆能源-粮食-水耦合系统协调发展研究［J］. 系统科学与数学， 2022， 42（12）： 3288-3305.
	Gao J， Wang X L， Sun X G， et al. Research on coordinated development of xinjiang energy-food-water nexus based on ISM-AHP method［J］. Journal of Systems Science and Mathematical Sciences， 2022， 42（12）： 3288-3305.
30	鄂维南. AI助力打造科学研究新范式［J］. 中国科学院院刊， 2024， 39（1）： 10-16.
	Weinan E. AI helps to establish a new paradigm for scientific research［J］. Bulletin of Chinese Academy of Sciences， 2024， 39（1）： 10-16.
31	Ge J， Lei Y， Tokunaga S. Non-grain fuel ethanol expansion and its effects on food security： A computable general equilibrium analysis for China［J］. Energy， 2014， 65： 346-356.
32	Allard A， Takman J， Uddin G S， et al. The N-shaped environmental kuznets curve： An empirical evaluation using a panel quintile regression approach［J］. Environmental Science and Pollution Research， 2018， 25： 5848-5861.
33	Conway D， Van garderen E， Deryng D， et al. Climate and southern Africa’s water-energy-food nexus［J］. Nature Climate Change， 2015， 5： 837-846.
34	Ren H， Liu B， Zhang Z， et al. A water-energy-food-carbon nexus optimization model for sustainable agricultural development in the Yellow River Basin under uncertainty［J］. Applied Energy， 2022， 326： 120008.
35	Mortada S， Najm M A， Yassine A， et al. Towards sustainable water-food nexus： An optimization approach［J］. Journal of Cleaner Production， 2018， 178： 408-418.
36	Bois A S， Boix M， Montastruc L. Multi-actor integrated modeling approaches in the context of water-energy-food nexus systems： Review［J］. Computers and Chemical Engineering， 2024， 182： 108559.
37	Du E， Cai X， Brozovic N， et al. Evaluating the impacts of farmers’behaviors on a hypothetical agricultural water market based on double auction［J］. Water Resource Research， 2017， 53： 4053-4072.
38	Chang Y， Huang R， Ries R J， et al. Life-cycle comparison of greenhouse gas emissions and water consumption for coal and shale gas fired power generation in China［J］. Energy， 2015， 86： 335-343.
39	Govindan R， Al-Ansari T. Computational decision framework for enhancing resilience of the energy， water and food nexus in risky environments［J］. Renewable and Sustainable Energy Reviews， 2019， 112： 653-668.
40	鞠平，王冲，辛焕海，等. 电力系统的柔性、弹性与韧性研究［J］. 电力自动化设备， 2019， 39（11）： 1-7.
	Ju P， Wang C， Xin H H， et al. Flexibility， resilience and toughness of power system［J］. Electric Power Automation Equipment， 2019， 39（11）： 1-7.
41	刘畅，黄杨，杨昕然，等. 计及储能及负荷转供协同调度的城市电网弹性运行策略［J］. 电力系统保护与控制， 2021， 49（6）： 56-66.
	Liu C， Huang Y， Yang X R， et al. Flexible operation strategy of an urban transmission network considering energy storage systems and load transfer characteristics［J］. Power System Protection and Control， 2021， 49（6）： 56-66.
42	Lei S， Pozo D， Wang M， et al. Power economic dispatch against extreme weather conditions： The price of resilience［J］. Renewable and Sustainable Energy Reviews， 2022， 157：111994.
43	汪寿阳，胡毅，熊熊，等. 复杂系统管理理论与方法研究［J］. 管理科学学报， 2021， 24（8）： 1-9.
	Wang S Y， Hu Y， Xiong X， et al. Complex systems management： Theory and methods［J］. Journal of Management Sciences in China， 2021， 24（8）： 1-9.
44	盛昭瀚，于景元. 复杂系统管理：一个具有中国特色的管理学新领域［J］. 管理世界， 2021， 37（6）： 36-50.
	Sheng Z H， Yu J Y. Complex systems management： An emerging management science with Chinese characteristics［J］. Journal of Management World， 2021， 37（6）： 36-50.
45	狄增如，陈晓松. 复杂系统科学研究进展［J］. 北京师范大学学报（自然科学版）， 2022， 58（3）： 371-381.
	Di Z R， Chen X S. Complex systems science： Recent advances［J］. Journal of Beijing Normal University （Natural Science）， 2022， 58（3）： 371-381.
46	吴建军，高自友. 重大突发事件下区域综合交通系统应急保障和管理［J］. 管理科学， 2021， 34（6）： 67-70.
	Wu J J， Gao Z Y. Emergency support and management of regional integrated traffic system under significant events［J］. Journal of Management Science， 2021， 34（6）： 67-70.
47	吴建军，吕莹. 全球变局下的管理科学与工程研究［J］. 中国管理科学， 2022， 30（5）： 21-26.
	Wu J j， Lv Y. Research on management science and engineering under global change［J］. Chinese Journal of Management Science， 2022， 30（5）： 21-26.
48	Klibi W， Martel A. Scenario-based supply chain network risk modeling［J］. European Journal of Operational Research， 2012， 223（3）： 644-658.
49	Macdonald J R， Zobel C W， Melnyk S A， et al. Supply chain risk and resilience： Theory building through structured experiments and simulation［J］. International Journal of Production Research， 2018， 56（12）： 4337-4355.
50	陈剑，刘运辉. 数智化使能运营管理变革：从供应链到供应链生态系统［J］.管理世界， 2021， 37（11）： 227-240+14.
	Chen J， Liu Y H. Operations management innovation enabled by digitalization and intellectualization：From supply chain to supply chain ecosystem［J］. Journal of Management World， 2021， 37（11）： 227-240+14.
51	Kim Y， Chen Y S， Linderman K. Supply network disruption and resilience： A network structural perspective［J］. Journal of Operations Management， 2015， 33： 43-59.
52	Govindan K， Fattahi M， Keyvanshokooh E. Supply chain network design under uncertainty： A comprehensive review and future research directions［J］. European Journal of Operational Research， 2017， 263（1）： 108-141.
53	李广，赵道致. 供应链网络的无标度特性研究［J］. 工业工程， 2012， 15（1）： 28-32.
	Li G， Zhao D Z. A study on the scale-free characteristics of supply chain network［J］. Industrial Engineering Journal， 2012， 15（1）： 28-32.
54	Núñez-López J M， Cansino-Loeza B， Sánchez-Zarco X， et al. Involving resilience in assessment of the water-energy-food nexus for arid and semiarid regions［J］. Clean Technologies and Environmental Policy， 2022， 24： 1681-1693.
55	Li W， Jiang S， Zhao Y， et al. A copula-based security risk evaluation and probability calculation for water-energy-food nexus［J］. Science of the Total Environment， 2023， 856： 159236.
56	Cai Y， Cai J， Chen D， et al. Development of an integrated prediction-optimization modeling approach for coupled risk management of water and energy nexus systems［J］. Science of the Total Environment， 2021， 781： 146744.
57	Dargin J， Berk A， Mostafavi A. Assessment of household-level food-energy-water nexus vulnerability during disasters［J］. Sustainable Cities and Society， 2020， 62： 102366.
58	Powell J， Mustafee N， Chen A S， et al. System-focused risk identiﬁcation and assessment for disaster preparedness： Dynamic threat analysis［J］. European Journal of Operational Research， 2016， 254： 550-564.
59	Schmitt A J， Singh M. A quantitative analysis of disruption risk in a multi-echelon supply chain［J］. International Journal of Production Economics， 2012， 139（1）： 22-32.
60	Mizgier K J， Wagner S M， Jüttner M P. Disentangling diversification in supply chain networks［J］. International Journal of Production Economics， 2015， 162： 115-124.
61	Tim J， Joshua C， Dirk P. Fitting mixture importance sampling distributions via improved cross-entropy［C］// Proceedings of the 2011 Winter Simulation Conference， Phoenix， AZ， DSA，December 11-14，IEEE 2012， 2（4）： 422-428.
62	Zdravko I， Dirk P. An efficient algorithm for rare-event probability estimation， combinatorial optimization， and counting［J］. Methodology & Computing in Applied Probability， 2008， 10（4）： 471-505.
63	王丽萍，范文慧. 稀有事件仿真算法综述［J］. 系统仿真学报， 2018， 30（9）： 3249-3254+63.
	Wang L P， Fan W H. A review of rare event simulation［J］. Journal of System Simulation， 2018， 30（9）： 3249-3254+63.
64	徐晓云，李大庆，江逸楠，等. 网络故障传播研究进展综述［J］. 电子科学技术， 2015， 2（6）： 697-701.
	Xu X Y， Li D Q， Jiang Y N， et al. Review of recent progress on propagation of cascading failures in complex networks［J］. Electronic Science & Technology， 2015， 2（6）： 697-701.
65	杨乃定，王京北，张延禄，等. 考虑自适应行为的研发网络风险传播模型构建及仿真［J］. 中国管理科学， 2020， 28（3）： 182-190.
	Yang N D， Wang J B， Zhang Y L， et al. Risk propagation modeling and simulation in R & D network when considering the adaptive behaviors［J］. Chinese Journal of Management Science， 2020， 28（3）： 182-190.
66	Bie Z， Lin Y， Li G， et al. Battling the extreme： A study on the power system resilience［J］. Proceedings of the IEEE， 2017， 105（7）： 1253-1266.
67	Tran T H， Dobrovnik M， Kummer S. Supply chain risk assessment： A content analysis-based literature review［J］. International Journal of Logistics Systems and Management， 2018， 31（4）： 562-591.
68	Yang C， Tian K， Gao X. Supply chain resilience： Measure， risk assessment and strategies［J］. Fundamental Research， 2024， DOI：10.1016/j.fmre.2023.03.011 .
69	Ghadge A， Dani S， Chester M， et al. A systems approach for modelling supply chain risks［J］. Supply Chain Management： an International Journal， 2013， 18（5）： 523-538.
70	Aqlan F， Lam S S. A fuzzy-based integrated framework for supply chain risk assessment［J］. International Journal of Production Economics， 2015， 161： 54-63.
71	Aldrighetti R， Battini D， Ivanov D， et al. Costs of resilience and disruptions in supply chain network design models： A review and future research directions［J］. International Journal of Production Economics， 2021， 235： 108103.
72	Simchi-Levi D， Schmidt W， Wei Y， et al. Identifying risks and mitigating disruptions in the automotive supply chain［J］. Interfaces， 2015， 45（5）： 375-390.
73	Pereira M M， Frazzon E M. A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains［J］. International Journal of Information Management， 2021， 57： 102165.
74	Liu Y， Chen B. Water-energy scarcity nexus risk in the national trade system based on multi regional input-output and network environmental analyses［J］. Applied Energy， 2020， 268： 114974.
75	Liu Y， Chen B， Chen G， et al. Globalized energy-water nexus through international trade： The dominant role of non-energy commodities for worldwide energy-related water use［J］. Science of the Total Environment， 2020， 736： 139582.
76	Schlör H， Venghaus S. Measuring resilience in the food-energy-water nexus based on ethical values and trade relations［J］. Applied Energy， 2022， 323： 119447.
77	陈磊，邓欣怡，陈红坤，等. 电力系统韧性评估与提升研究综述［J］. 电力系统保护与控制， 2022， 50（13）： 11-22.
	Chen L， Deng X Y， Chen H K， et al. Review of the assessment and improvement of power system resilience［J］. Power System Protection and Control， 2022， 50（13）： 11-22.
78	Chowdhury M， Quaddus M. Supply chain resilience： Conceptualization and scale development using dynamic capability theory［J］. International Journal of Production Economics， 2017， 188： 185-204.
79	Zouari D， Ruel S， Viale L. Does digitalising the supply chain contribute to its resilience？［J］. International Journal of Physical Distribution & Logistics Management， 2020， 51（2）： 149-180.
80	Hohenstein N O， Feisel E， Hartmann E， et al. Research on the phenomenon of supply chain resilience： A systematic review and paths for further investigation［J］. International Journal of Physical Distribution & Logistics Management， 2015， 45（1）： 90-117.
81	Behzadi G， O’Sullivan M J， Olsen T L. On metrics for supply chain resilience［J］. European Journal of Operational Research， 2020， 287（1）： 145-158.
82	Hosseini S， Barker K， Ramirez-Marquez J. A review of definitions and measures of system resilience［J］. Reliability Engineering and System Safety， 2016， 145： 47-61.
83	Han Y， Chong W K， Li D. A systematic literature review of the capabilities and performance metrics of supply chain resilience［J］. International Journal of Production Research， 2020， 58（15）： 4541-4566.
84	López-Flores F J， Sánchez-Zarco X G， Rubio-Castro E， et al. A machine learning approach for optimizing the water-energy-food-ecosystem nexus： A resilience perspective for sustainability［J］. Environment， Development and Sustainability， 2023， DOI：10.1007/s10668-023-04257-y .
85	Najafi J， Peiravi A， Anvari-Moghaddam A， et al. An efficient interactive framework for improving resilience of power-water distribution systems with multiple privately-owned microgrids［J］. Electrical Power and Energy Systems， 2020， 116： 105550.
86	Najafi J， Peiravi A， Guerrero J M. Power distribution system improvement planning under hurricanes based on a new resilience index［J］. Sustainable Cities and Society， 2018， 39： 592-604.
87	徐博，张弛，蒋云钟，等. 供水系统可靠性-回弹性-脆弱性与多元要素的响应关系研究［J］. 水利学报， 2020， 51（12）： 1502-1513.
	Xu B， Zhang C， Jiang Y Z， et al. Reliability-resilience-vulnerability of water supply system and its response relationship to multiple factors［J］. Shuili Xuebao， 2020， 51（12）： 1502-1513.
88	Liu D， Li M， Ji Y， et al. Spatial-temporal characteristics analysis of water resource system resilience in irrigation areas based on a support vector machine model optimized by the modified gray wolf algorithm［J］. Journal of Hydrology， 2021， 597： 125758.
89	Ding W， Wei G， Zhou H. Improving ffood resilience through optimal reservoir operation［J］. Journal of Hydrology， 2023， 620： 129494.
90	Pagano A， Giordano R， Portoghese I. A pipe ranking method for water distribution network resilience assessment based on graph-theory metrics aggregated through bayesian belief networks［J］. Water Resources Management， 2022， 36： 5091-5106.
91	Salman A M， Li Y， Stewart M G. Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes［J］. Reliability Engineering and System Safety， 2015， 144： 319-333.
92	Emenike S N， Falcone G. A review on energy supply chain resilience through optimization［J］. Reliability Engineering and System Safety， 2020， 134： 110088.
93	薛禹胜，谢东亮，薛峰，等. 支持信息-物理-社会系统研究的跨领域交互仿真平台［J］. 电力系统自动化， 2022， 46（10）： 138-148.
	Xue Y S， Xie D L， Xue F， et al. A cross-field interactive simulation platform for wupporting research on cyber-physical-social systems［J］. Automation of Electric Power Systems， 2022， 46（10）： 138-148.
94	王晓辉. 互联网生态下舆情对粮食安全的影响［J］. 粮油食品科技， 2023， 31（4）： 28-35.
	Wang X H. The impact of public opinion on food security under the internet ecology［J］. Science and Technology of Cereals，Oils and Foods， 2023， 31（4）： 28-35.
95	Wang Y， Chen C F， Kong P Y， et al. A cyber-physical-social perspective on future smart distribution systems［J］. Proceedings of the IEEE， 2023， 111（7）： 694-724.

[1]	WANG Zong-run, CHEN Xi. Psychological Factors, Transaction Environment Change and Risk Measurement of Structured Products: A Review of Research [J]. Chinese Journal of Management Science, 2020, 28(8): 15-29.
[2]	CUI Yu-quan, LIU Bing-jie, LIU Cong, QU Jing-jing. Optimization Model Analysis of New Order Agricultural Cooperation Model [J]. Chinese Journal of Management Science, 2020, 28(12): 140-150.
[3]	FENG Ling, WEN Lu, XIAO Yang. Repricing the Default Risk of Financial Institutions Based on the Expectation of an Implicit Government Guarantee Withdrawal [J]. Chinese Journal of Management Science, 2020, 28(11): 43-50.
[4]	CHEN Rong-da, ZHOU Han-xian, Yu Le-an, Jin Cheng-lu. Risk Measurement on Structured Financial Products and Its Application Based on Internet Financial Model [J]. Chinese Journal of Management Science, 2020, 28(11): 23-34.
[5]	LIU Chao, LI Yuan-rui, JIANG Chao, MA Yu-jie, LIU Chen-qi, XIE Qi-wei. Research on Systematic Risk Measurement and Evolution Characteristics of China's Securities Companies——Empirical Data from 20 Listed Securities Companies [J]. Chinese Journal of Management Science, 2019, 27(5): 11-22.
[6]	ZHU Xiao-qian, LI Jing-yu, LI Jian-ping, CHEN Yi-bin, WEI Lu. An Indicator of Conditional Probability of Crisis for Systemic Risk Measurement [J]. Chinese Journal of Management Science, 2018, 26(6): 1-7.
[7]	LIU Xiang-dong, FAN Bin, Yang Yi-ming, LIU Cheng. High-dimensional Portfolio Risk Measurement Based on M-Copula-SV-t Model [J]. Chinese Journal of Management Science, 2017, 25(2): 1-9.
[8]	WU Jian-hua, WANG Xin-jun, ZHANG Ying. Endogenous Recovery Rate and Credit Risk Measurement [J]. Chinese Journal of Management Science, 2016, 24(1): 1-10.
[9]	JI Xin-long, ZHOU Xiao-hua. Risk Measurement Based on Markov Stochastic Volatility and EVT [J]. Chinese Journal of Management Science, 2014, 22(10): 44-51.
[10]	XIAO Yuan, HU Xiao-ping, DANG Feng-shun. Research on the Model of Risk Measurement in China’s Open-end Fund Market [J]. Chinese Journal of Management Science, 2009, 17(6): 25-32.

Risk Measurement and Resilience Improvement of Water-Energy-Food Coupling Systems

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 95

Related Articles 10

Metrics

Comments

Recommended 0