Inoperability input-output modeling approach to risk analysis in biomass supply chains
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 fi...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2015
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/621 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Summary: | 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. |
|---|