Introducing PEARL

Claire Elizabeth Carlson (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois United States)
Paul A. Isihara (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois United States)
Roger Sandberg (Medical Teams International, Portland, Oregon, USA)
David Boan (Humanitarian Disaster Institute, Wheaton College, Wheaton, Illinois, United States)
Kaile Phelps (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Kyu Lim Lee (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Danilo R. Diedrichs (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Daniela Cuba (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Johnny Edman (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, USA)
Melissa Gray (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Roland Hesse (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Robin Kong (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, United States)
Kei Takazawa (Department of Mathematics and Computer Science, Wheaton College, Wheaton, Illinois, USA)

Journal of Humanitarian Logistics and Supply Chain Management

ISSN: 2042-6747

Publication date: 1 August 2016

Abstract

Purpose

The need in disaster response to assess how reliably and equitably funding was accounted for and distributed is addressed by a standardized report and index applicable to any disaster type. The paper aims to discuss this issue.

Design/methodology/approach

Data from the Nepal earthquake (2015), Typhoon Haiyan (2013), the Haiti earthquake (2010), Sri Lankan flood (2011), and Hurricane Sandy (2012) illustrate uses of a public equitable allocation of resources log (PEARL). Drawing from activity-based costing and the Gini index, a PEARL spreadsheet computes absolute inequity sector by sector as well as a cumulative index. Response variations guide index value interpretation.

Findings

Index values indicates major inequity in Nepal hygiene kit distribution and Haiti earthquake (both PEARL indices near 0.5), moderate inequity for the Sri Lankan flood (index roughly 0.75) and equitable distributions for Typhoon Haiyan and Hurricane Sandy (both indices approximately 0.95). Indices are useful to approximate proportions of inequity in the total response and investigate allocation under uncertainty in sector need specification.

Originality/value

This original tool is implementable using a website containing a practice PEARL, completed examples and downloadable spreadsheet. Used across multiple sectors or for a single sector, PEARL may signal need for additional resources, correct inequitable distribution decisions, simplify administrative monitoring/assessment, and foster greater accounting transparency in summary reports. PEARL also assists historical analysis of all disaster types to determine completeness of public accounting records and equity in fund distribution.

Keywords

Citation

Carlson, C., Isihara, P., Sandberg, R., Boan, D., Phelps, K., Lee, K., Diedrichs, D., Cuba, D., Edman, J., Gray, M., Hesse, R., Kong, R. and Takazawa, K. (2016), "Introducing PEARL", Journal of Humanitarian Logistics and Supply Chain Management, Vol. 6 No. 2, pp. 202-221. https://doi.org/10.1108/JHLSCM-07-2015-0031

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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