Show simple item record

Mapping Corporate Water Risk – Investigation of Baseline Water Stress for Japanese Companies

dc.contributor.authorChen, Muhan
dc.contributor.advisorAdriaens, Peter
dc.date.accessioned2020-05-04T17:26:37Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2020-05-04T17:26:37Z
dc.date.issued2020-05
dc.date.submitted2020-05
dc.identifier.urihttps://hdl.handle.net/2027.42/154878
dc.description.abstractAs water risk becomes more severe and noticeable in recent years, corporate water risk also receives more attention in corporate management. Realizing that water risk should be examined on a regional scale, this study started from a location perspective and examined corporate water risk of ten Japanese companies by mapping their facilities on the Aqueduct global baseline water stress map and calculating fraction of facilities that are in areas with high water risk (“number fraction”). It was found that about 40% of water-sensitive facilities both inside and outside Japan are in high-waterrisk areas. Variation in number fraction values is generally weak and become stronger when number of facilities is low. As number of facilities of a certain corporation, line of business or region increases, the number fraction value approaches world average. This indicates that larger entities are able to adopt more universal water management strategies. By using different layers of water risk data provided by Aqueduct, it was observed that results vary with the chosen indicator. When seasonal variability or overall water risk is used, number fraction values drop significantly to less than 20%, especially in Japan. High number fraction values can be attributed to facilities in certain regions, but the results derived from one indicator cannot be used to predict results derived from another indicator because they all focus on different aspects of water risk. This suggests that choice of indicators should be based on specific situations. Finally, validation of number fraction as a measurement of impacts from water risk using share price fluctuation was done. The validation was not successful and the ten corporations don’t show significant differences in their share price behavior with different number fractions. It was suggested that sector-specific indexes and more financial metrics be used for future analysis, which can be focusing on a bigger portfolio.en_US
dc.language.isoen_USen_US
dc.subjectwater risken_US
dc.subjectequitiesen_US
dc.subjectaquedeucten_US
dc.subjectfacility locationen_US
dc.titleMapping Corporate Water Risk – Investigation of Baseline Water Stress for Japanese Companiesen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineSchool for Environment and Sustainabilityen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeememberArnold, Anthony
dc.identifier.uniqnamecarltten_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/154878/1/Chen Muhan Thesis.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.