Inoperability input-output modeling approach to risk analysis in biomass supply chains

• Main Authors: Yu, Krista Danielle S., Aviso, Kathleen B., Aziz, Mustafa Kamal Abdul, Morad, Noor Azian, Promentilla, Michael Angelo B., Santos, Joost R., Tan, Raymond Girard R.
• Format: text
• Published: Animo Repository 2015
• Subjects: Input-output analysis; Biomass—Risk assessment; Risk assessment; Economics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/621
• Institution: De La Salle University

This chapter introduces a rigorous methodology known as inoperability input-output modeling (IIM) for making quantitative predictions of how sectoral interdependencies lead to collateral risks economy wide that may occur as a result of loss of agricultural crop output in biomass-based systems. It first introduces the general approach of input-output (I-O) analysis. It then presents IIM methodology as a variant of I-O modeling. Next, a simple tutorial example is shown to illustrate IIM computations. Finally, the chapter presents case studies based on oil palm production in Malaysia and coconut production in the Philippines. The Malaysian case shows that a reduction in oil palm production affects the finance; agriculture, fishery, and forestry; electricity, gas, and water; trade; transportation, communication and storage; and manufacturing significantly in terms of inoperability, but vulnerability shifts toward manufacturing in terms of economic loss.