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Level: masters  Dates: Last 2 Years

You searched for subject:(water allocation). Showing records 1 – 2 of 2 total matches.

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1. Qi, Ran. Empirical Study: Impacts of Objective House Factors on Residential Water Usage in Springfield, Missouri.

Degree: Master of Natural and Applied Science in Agriculture, College of Agriculture, 2018, Missouri State University

The study is to examine the objective house factors impacting residential water consumption, to explain how each factor influences water bill in a household, as well as to call attention to use residential water resource more wisely. The results are based on regression data analysis. The Hedonic price model analyzes relations between marginal residential water bill and five independent variables, including: acres, building age, living area, home value, and a south Springfield designation. This study uses data from local households in Springfield, Missouri. Findings can be used in formulating policies related to urban water usage. City Utilities could use the findings from the study as a guide to adjust residential water price with the help of localized data results. The final purpose of this study is to suggest Springfield, Missouri, residential water allocation and pricing policy adjustment. Therefore, residential water resource could be saved and used in a more efficient way. Advisors/Committee Members: Arbindra Rimal.

Subjects/Keywords: residential water consumption; water usage; regression analysis; Hedonic price model; water resource allocation; Agribusiness

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APA (6th Edition):

Qi, R. (2018). Empirical Study: Impacts of Objective House Factors on Residential Water Usage in Springfield, Missouri. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3286

Chicago Manual of Style (16th Edition):

Qi, Ran. “Empirical Study: Impacts of Objective House Factors on Residential Water Usage in Springfield, Missouri.” 2018. Masters Thesis, Missouri State University. Accessed November 13, 2019. https://bearworks.missouristate.edu/theses/3286.

MLA Handbook (7th Edition):

Qi, Ran. “Empirical Study: Impacts of Objective House Factors on Residential Water Usage in Springfield, Missouri.” 2018. Web. 13 Nov 2019.

Vancouver:

Qi R. Empirical Study: Impacts of Objective House Factors on Residential Water Usage in Springfield, Missouri. [Internet] [Masters thesis]. Missouri State University; 2018. [cited 2019 Nov 13]. Available from: https://bearworks.missouristate.edu/theses/3286.

Council of Science Editors:

Qi R. Empirical Study: Impacts of Objective House Factors on Residential Water Usage in Springfield, Missouri. [Masters Thesis]. Missouri State University; 2018. Available from: https://bearworks.missouristate.edu/theses/3286

2. Bleanda-Mogosanu, Iuliana. Financial waterBeta: A Portfolio Approach to Value Corporate Water Risk Exposure.

Degree: MS, School for Environment and Sustainability, 2018, University of Michigan

The scope of this study is to develop and test a novel approach to quantify and value the impact of water risk exposures on stock volatility, by using a combination of portfolio theory, water resource productivity and natural language processing approaches. Current physical, regulatory, and reputational risks due to water scarcity impact corporate financial performance, strategic corporate decisions, and asset allocation of portfolio investments on financial markets. Even though a diverse range of tools and methodologies exist to assist companies and investors in reducing the impact of water risk, there isn’t currently a standard due to the challenge to translate risk into financial metrics. Therefore, this research tests the hypothesis that financial risk exposure from water depends on the type of activity in the watershed, the geographic distribution of a company’s facilities and their economic output productivity. We used a sample of 25 companies in 5 different industries. Water risk was represented by waterBeta®, an extension of portfolio theory and a volatility signal that represents the excess water risk from extreme events uncorrelated to the general market trends. A model to estimate waterBeta® was developed prior and was tested to assess the water-impacted stock volatility profile of the companies. After filtering out the systemic market risk, waterBeta® is an idiosyncratic market risk metric with seasonal attributes that measures embedded water risk in stocks relative to the industry benchmark. The results show that utilities and semiconductors industries have higher stock volatility than the other sample industries due to exposure to water risk and that companies within each industry have a different volatility profile depending on the risk management response strategies to water related events. Such information can be used by investors to guide investment decisions, adjust the asset allocations in portfolios, or structure water-risk informed indexes to capture ‘water alpha’. Advisors/Committee Members: Adriaens, Peter (advisor), Alfaro, Jose (committee member).

Subjects/Keywords: waterBeta; stock volatility; water scarcity; asset allocation

…The private sector tends to value (access to) water in terms of a financial… …risk, either as a resource input (i.e., the cost to withdraw or consume water as… …determined by water prices) or as a liability (i.e., the cost to treat pollution or… …mitigate regulatory requirements). Various stakeholders use price, cost and value of water… …interchangeably, despite the need for developing proper methodologies to quantify the value of water… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bleanda-Mogosanu, I. (2018). Financial waterBeta: A Portfolio Approach to Value Corporate Water Risk Exposure. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143175

Chicago Manual of Style (16th Edition):

Bleanda-Mogosanu, Iuliana. “Financial waterBeta: A Portfolio Approach to Value Corporate Water Risk Exposure.” 2018. Masters Thesis, University of Michigan. Accessed November 13, 2019. http://hdl.handle.net/2027.42/143175.

MLA Handbook (7th Edition):

Bleanda-Mogosanu, Iuliana. “Financial waterBeta: A Portfolio Approach to Value Corporate Water Risk Exposure.” 2018. Web. 13 Nov 2019.

Vancouver:

Bleanda-Mogosanu I. Financial waterBeta: A Portfolio Approach to Value Corporate Water Risk Exposure. [Internet] [Masters thesis]. University of Michigan; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2027.42/143175.

Council of Science Editors:

Bleanda-Mogosanu I. Financial waterBeta: A Portfolio Approach to Value Corporate Water Risk Exposure. [Masters Thesis]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143175

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