A weighted fuzzy linear programming model in economic input–output analysis: An application to risk management of energy system disruptions
Ramon V. Del Rosario College of Business
Environment Systems and Decisions
Climate change exposes economic systems to numerous risks, including reduced agricultural production and electric power supply shortages. The interdependent nature of economic systems causes disruptions in any sector to cascade to other sectors via forward and backward linkages. This work develops an optimization model with which allocation of scarce goods or resources can be optimized; the model uses an overall index of satisfaction of fuzzy economic output goals under conditions of scarcity caused by climatic disruptions. The proposed model includes a vulnerability measure that integrates information elicited from expert judgment. A case study based on a scenario of drought-induced electricity shortage in the Philippine economy is examined. Results show that trade, transportation and service-oriented industries suffer losses in gross domestic product in the Philippine case. © 2016, Springer Science+Business Media New York.
Digitial Object Identifier (DOI)
Yu, K. S., Aviso, K. B., Promentilla, M. B., Santos, J. R., & Tan, R. R. (2016). A weighted fuzzy linear programming model in economic input–output analysis: An application to risk management of energy system disruptions. Environment Systems and Decisions, 36 (2), 183-195. https://doi.org/10.1007/s10669-016-9599-0
Risk management; Input-output analysis; Multiple criteria decision making