School of Sustainability Graduate Culminating Experiences
Student capstone and applied projects from ASU's School of Sustainability.
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- Creators: Leonard, Bryan
- Creators: Brelsford, Christa
Description
Community-based volunteer organizations are critical to natural resource management in the United States. However, due to volunteer involvement, these organizations struggle with collective action problems: coping with free riding, solving commitment problems, arranging for the supply of new institutions, and monitoring individual compliance with sets of rules. In this study, we explore how volunteer organizations can overcome these challenges. To explore how they overcome these challenges, we use the Institutional Analysis and Development framework and the Institutional Design Principles. These frameworks help us understand the impact of natural resource conditions, community attributes, and the rules in use impact volunteer organizations. For this research, we focused on lake organizations in Wisconsin. We collected our data through semi-structured interviews with thirty-one lake organizations and public data. The data were analyzed using constant comparison and linear regression, followed by qualitative comparative analysis (QCA). We reinforce the importance of considering the system holistically when managing a resource the natural resource conditions, the community attributes, and the rules in use. Our study shows the importance of graduated sanctions and low-cost conflict resolution on social-ecological system outcomes. Volunteer-based resource management are an effective way to tailor management strategies to the natural resource condition and the community attributes.
ContributorsWhittaker, Dane (Author) / Janssen, Marco (Contributor) / Janssen,Marco (Contributor) / Leonard, Bryan (Contributor) / Solomon, Chris (Contributor)
Created2020-04-24
Description
Day-to-day decision makers on agricultural operations play a key role in maintaining both a sustainable and food secure agricultural society. This population, also defined as Principal Producers by the 2017 USDA Agricultural Census Report, has witnessed a significant decline in recent years, raising many questions surrounding why farmers are retiring faster than they can be replaced. To look closely at this phenomenon, this study focuses on the State of Ohio to hear first-hand from producers what they need to be successful through a series of semi-structured interviews. This study also maps recent changes in variables that define this issue from 2007-2017 using QGIS and USDA Agricultural Census data. The findings from this study show the recent decline of mid-sized agricultural operations and provide evidence linking declining rates of principal producer populations with specific features consistent with industrial agriculture. These findings are specific to the State of Ohio, but also raise much larger questions about which populations are experiencing more rapid rates of farm exit, and what implications these trends have for food security on a broader scale.
ContributorsMoore, Phillip (Author) / Chhetri, Nalini (Contributor) / Leonard, Bryan (Contributor) / Shrestha, Milan (Contributor)
Created2020
Description
As arid cities’ water scarcity concerns grow, so does the importance of residential water conservation. Understanding the drivers of participation in water conservation programs can aid policymakers in designing programs that achieve conservation and enrollment targets while achieving cost-effectiveness and distributional goals. In this study I identify and analyze the characteristics that drive participation in the Southern Nevada Water Authority’s Water Smart Landscaping rebate program – a program that pays homeowners to replace their grass lawns with xeric landscaping – and how those characteristics change over time as rebate values and water prices vary.
In order to determine what characteristics influence participation in this program I gathered data from multiple sources. I use a panel dataset of household water consumption that spans 12 years of approximately 300,000 homes. I merged this dataset with home structural characteristics, geographical, and demographic context. I then use these characteristics in a linear probability model, with school enrollment zone fixed effects to determine their influence on a household’s probability of participation. School zones are used to control for unobserved characteristics, such as demographics, which are not at a household level. I then utilize these school zone fixed effects in a 2nd stage regression to decompose these elements and analyze their effect on participation.
I find that a household’s water costs, as reflected in the marginal price faced in the summer and the differential between summer and winter water bills, as well as yard size are primary factors that influence participation. I also show that changes in rebate value and water rates can affect different types of households. There is also evidence to support that neighborhood characteristics affect a household’s likelihood of participating.
In order to determine what characteristics influence participation in this program I gathered data from multiple sources. I use a panel dataset of household water consumption that spans 12 years of approximately 300,000 homes. I merged this dataset with home structural characteristics, geographical, and demographic context. I then use these characteristics in a linear probability model, with school enrollment zone fixed effects to determine their influence on a household’s probability of participation. School zones are used to control for unobserved characteristics, such as demographics, which are not at a household level. I then utilize these school zone fixed effects in a 2nd stage regression to decompose these elements and analyze their effect on participation.
I find that a household’s water costs, as reflected in the marginal price faced in the summer and the differential between summer and winter water bills, as well as yard size are primary factors that influence participation. I also show that changes in rebate value and water rates can affect different types of households. There is also evidence to support that neighborhood characteristics affect a household’s likelihood of participating.
ContributorsRusso, Jonathan (Author) / Abbott, Joshua (Contributor) / Brelsford, Christa (Contributor) / Larson, Kelli (Contributor)
Created2018-04-21