Analyzing differences among non-adopters of residential stormwater management practices

Shin, Dong Won; McCann, Laura

doi:10.1016/j.landurbplan.2018.06.003

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…The over‐estimation of WTP due to hypothetical bias is largest for rain gardens, and statistically significant for permeable pavement. These results are consistent with prior stormwater surveys that indicate a large gap between households' stated willingness to adopt and the very low adoption rates observed in practice (Baptiste et al., 2015; Newburn & Alberini, 2016; Shin & McCann, 2018a, 2018b). The ability of the consequentiality treatment to detect hypothetical bias also supports prior studies that have documented the effectiveness of consequentiality as a technique for identifying and mitigating survey bias (Bulte et al., 2005; Carson et al., 2014; Johnston et al., 2017; Landry & List, 2007; Vossler et al., 2012).…”

Section: Introductionsupporting

confidence: 89%

“…Adoption rates for green infrastructure practices are less than 5% in almost all the stormwater utilities surveyed (Black & Veatch, 2018). Recent economic research suggests that low adoption rates are not driven by high practice costs or inadequate levels of financial support (Baptiste et al., 2015; Newburn & Alberini, 2016; Shin & McCann, 2018a, 2018b). For example, Newburn and Alberini (2016) find a 2.5% adoption rate for rain gardens despite 18% of households stating a willingness to adopt them even without government subsidies.…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

“…For example, Newburn and Alberini (2016) find a 2.5% adoption rate for rain gardens despite 18% of households stating a willingness to adopt them even without government subsidies. Similarly, Shin and McCann (2018a) show a 3% rate of rain garden adoption despite nearly half of the respondents stating that practice costs are not a major limiting factor.One explanation for the divergence between low adoption rates and stated willingness to adopt is based on hypothetical bias. Hypothetical bias arises when survey respondents inaccurately state (often overstate) their willingness to pay (WTP) in response to hypothetical questions (…”

mentioning

confidence: 99%

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Intention Versus Action: Household Adoption of Best Management Practices for Water Quality

Fleming

Savchenko

2022

Water Resources Research

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Effective management of stormwater runoff is a significant challenge facing cities across the United States. In addition to polluting surface waters, stormwater runoff contributes to flooding, threatens the health of aquatic species, disrupts hydrological cycles, and causes stream erosion (Jacobson, 2011). These impacts will continue to worsen with growing urbanization, such that stormwater runoff has become the fastest growing source of nonpoint pollution in numerous watersheds.To address these challenges, many cities and municipalities in the United States have turned to a decentralized approach to stormwater management that incentivizes households to voluntarily adopt water quality best management practices (BMPs) for stormwater runoff. Over 1,700 U.S. cities and municipalities now have stormwater utilities, which act as dedicated funding mechanisms for stormwater management (Campbell, 2020). According to survey data, more than half of such stormwater utilities offer a complementary cost-sharing or grant program that provides incentives to homeowners who adopt qualifying stormwater practices (Black & Veatch, 2018). Subsidized practices include rain gardens, permeable pavement, and backyard infiltration practices, which can reduce runoff at much lower costs than the existing large-scale stormwater control infrastructure (Braden & Ando, 2012), while also generating environmental benefits such as reductions in downstream flooding (Braden & Johnston, 2004). These stormwater BMPs are often collectively known as green infrastructure, though subtle differences in the terms exist (see Ando & Netusil, 2013, for a more complete discussion).Despite the increasing availability of local or municipal subsidy programs, the scale of stormwater BMP adoption by households remains very low. Adoption rates for green infrastructure practices are less than 5% in almost all the stormwater utilities surveyed (Black & Veatch, 2018). Recent economic research suggests that low adoption rates are not driven by high practice costs or inadequate levels of financial support (Baptiste et al., 2015;Newburn & Alberini, 2016;Shin & McCann, 2018a, 2018b. For example, Newburn and Alberini (2016) find a 2.5% adoption rate for rain gardens despite 18% of households stating a willingness to adopt them even without government subsidies. Similarly, Shin and McCann (2018a) show a 3% rate of rain garden adoption despite nearly half of the respondents stating that practice costs are not a major limiting factor.One explanation for the divergence between low adoption rates and stated willingness to adopt is based on hypothetical bias. Hypothetical bias arises when survey respondents inaccurately state (often overstate) their willingness to pay (WTP) in response to hypothetical questions (

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Section: Introductionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Intention Versus Action: Household Adoption of Best Management Practices for Water Quality

Fleming

Savchenko

2022

Water Resources Research

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“…The Akaike information criterion (AIC) and Bayesian information criterion (BIC) were 208 and 271, respectively. The likelihood ratio test of the model had a p-value of less than 0.001, indicating a better fit (Shin & McCann, 2018). Pseudo R 2 of 65% was also higher compared to the set statistical threshold of 20%, and hence marine fishery dependence is well explained by the proposed covariates (Power et al, 2015).…”

Section: Econometric Analysis Of the Factors Influencing Marine Fishery Dependencementioning

confidence: 91%

Drivers of marine fishery dependence: Micro-level evidence from the coastal lowlands of Kenya

Somoebwana

Ayuya

Mironga

2021

Cogent Economics & Finance

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Poverty and inequality remain a development challenge for most fisherydependent households. This has prompted the current interest in the ocean-based economic model as Kenya became the first to host a global conference on the sustainable blue economy which was held in Nairobi in November 2018. To provide a more comprehensive understanding of the challenges surrounding the blue economy approach, we used a fractional response model to analyze drivers of marine fishery dependence. Our case study, involving 384 randomly selected households from Coastal lowlands of Kenya, specifically Kilifi County, revealed that marine fishery is the highest livelihood option exhibiting gender differences. The livelihood participation rates were approximately 68%, 36%, 31%, 25%, and 9% for marine fishery and related activities, agriculture, self-employment (excluding agriculture and marine fishery), wage employment, and remittances respectively. Many livelihood options were pursued independently implying a low level of diversified livelihood strategies in the region. The analysis of the determinants of the marine fishery dependence indicated that education level, agricultural productive assets, access to credit, group membership, security of tenure, flood shock, and fish price shock significantly influenced marine fishery dependence. The study therefore recommends government intervention in marine governance and development programs such as infrastructural development, capital availability and extension services. This will enable the dependent households to diversify to alternative livelihood options and contributes to sustainable marine fishery dependence.

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Urban stormwater characterization, control, and treatment

Rodak

Moore

David³

et al. 2019

Water Environment Research

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This review summarizes over 250 studies published in 2018 related to the characterization, control, and management of urban stormwater runoff. The review covers three broad themes: (a) quantity and quality characterization of stormwater, (b) control and treatment of stormwater runoff, and (c) implementation and assessment of watershed‐scale green stormwater infrastructure (GSI). Each section provides an overview of the 2018 literature, common themes, and future work. Several themes emerged from the 2018 literature including exploration of contaminants of emerging concern within stormwater systems, characterization and incorporation of vegetation‐driven dynamics in stormwater control measures, and the need for interdisciplinary perspectives on the implementation and assessment of GSI.Practitioner points Over 250 studies were published in 2018 related to the characterization, control, and treatment of stormwater. Studies cover general stormwater characteristics, control and treatment systems, and watershed‐scale assessments. Trends in 2018 include treatment trains, vegetation dynamics, and interdisciplinary perspectives.

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Analyzing differences among non-adopters of residential stormwater management practices

Cited by 10 publications

References 31 publications

Intention Versus Action: Household Adoption of Best Management Practices for Water Quality

Intention Versus Action: Household Adoption of Best Management Practices for Water Quality

Drivers of marine fishery dependence: Micro-level evidence from the coastal lowlands of Kenya

Urban stormwater characterization, control, and treatment

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