Analysing economic impact on interdependent infrastructure after flood: Pakistan a case in point

ABSTRACT

A disaster such as floods can have a drastic impact on interdependent infrastructure and economic sectors. The resilience or the ability of the critical sector to recover quickly from the disruption can also reduce the consequences of the disaster. In this paper, through resilience and recovery time Dynamic Inoperability Input-Output model (DIIM) is applied. Thus, Input-Output (I-O) table is constructed for Pakistan's economic system and a case study is performed on the flooding in Pakistan 2011–12. The purpose of this study is to provide a ballpark estimate of the system-wide impact and ripple effect on the sectors that lasted for several days after the disruption. Furthermore, to analyze the inoperability and economic loss in the sectors caused by the disaster in a developing country. The findings of the research show that most of the critical sectors are associated with agriculture and service sector in terms of inoperability and economic loss respectively. The outcome of the study will be essential for the policy makers, disaster management authorities and health departments to respond accordingly.

KEYWORDS:

• Dynamic inoperability input-output analysis
• inoperability input-output analysis
• resilience
• disaster management
• economic interdependence
• health risk
• risk communication
• ranking

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. http://www.who.int/countries/pak/en/