Valuing stakeholder preferences for environmental benefits of stormwater ponds: Evidence from choice experiment

Abstract Background: Community behavioral health clinicians, supervisors, and administrators play an essential role in implementing new psychosocial evidence-based practices (EBP) for patients receiving psychiatric care; however, little is known about these stakeholders’ values and preferences for implementation strategies that support EBP use, nor how best to elicit, quantify, or segment their preferences. This study sought to quantify these stakeholders’ preferences for implementation strategies and to identify segments of stakeholders with distinct preferences using a rigorous choice experiment method called best-worst scaling. Methods: A total of 240 clinicians, 74 clinical supervisors, and 29 administrators employed within clinics delivering publicly-funded behavioral health services in a large metropolitan behavioral health system participated in a best-worst scaling choice experiment. Participants evaluated 14 implementation strategies developed through extensive elicitation and pilot work within the target system. Preference weights were generated for each strategy using hierarchical Bayesian estimation. Latent class analysis identified segments of stakeholders with unique preference profiles. Results: On average, stakeholders preferred two strategies significantly more than all others—compensation for use of EBP per session and compensation for preparation time to use the EBP (P<.05); two strategies were preferred significantly less than all others—performance feedback via email and performance feedback via leaderboard (P<.05). However, latent class analysis identified four distinct segments of stakeholders with unique preferences: Segment 1 (n = 121, 35%) strongly preferred financial incentives over all other approaches and included more administrators; Segment 2 (n = 80, 23%) preferred technology-based strategies and was younger, on average; Segment 3 (n = 52, 15%) preferred an improved waiting room to enhance client readiness, strongly disliked any type of clinical consultation, and had the lowest participation in local EBP training initiatives; Segment 4 (n = 90, 26%) strongly preferred clinical consultation strategies and included more clinicians in substance use clinics. Conclusions: The presence of four heterogeneous subpopulations within this large group of clinicians, supervisors, and administrators suggests optimal implementation may be achieved through targeted strategies derived via elicitation of stakeholder preferences. Best-worst scaling is a feasible and rigorous method for eliciting stakeholders’ implementation preferences and identifying subpopulations with unique preferences in behavioral health settings.

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Allocating external financing for health: a discrete choice experiment of stakeholder preferences

Health Policy and Planning ◽

10.1093/heapol/czx017 ◽

2018 ◽

Vol 33 (suppl_1) ◽

pp. i24-i30 ◽

Cited By ~ 2

Author(s):

Karen A Grépin ◽

Crossley B Pinkstaff ◽

Arne Risa Hole ◽

Klara Henderson ◽

Ole Frithjof Norheim ◽

...

Keyword(s):

Discrete Choice Experiment ◽

Discrete Choice ◽

Choice Experiment ◽

External Financing ◽

Stakeholder Preferences

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Assessing the environmental benefits of multi-purpose water uses of hydropower reservoirs on the Han River in South Korea

Energy & Environment ◽

10.1177/0958305x19882407 ◽

2019 ◽

Vol 31 (7) ◽

pp. 1167-1180

Author(s):

Ga-Eun Kim ◽

Ju-Hee Kim ◽

Seung-Hoon Yoo

Keyword(s):

Water Supply ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Air Pollutants ◽

Choice Experiment ◽

Flood Control ◽

Environmental Benefits ◽

Han River ◽

Water Uses ◽

Hydropower Reservoirs

The South Korean Government is trying to implement multi-purpose water uses of six hydropower reservoirs on the Han River to strengthen the linkage between water and energy. The expected environmental improvements are an improvement in flood control, an increase in the water supply for environmental improvement, an increase in the water supply for the instream flow requirement, and the abatement of air pollutants and greenhouse gas emissions. This article aims to value the four improvements by applying a choice experiment. For the purpose of reflecting the preference heterogeneity, by investigating the choice experiment data gathered from a survey of 1000 people, a Bayesian estimation of a mixed logit model is employed. The environmental benefits of a 1% improvement in flood control, a 1% increase in the water supply for environmental improvement, a 1% increase in the water supply for the instream flow requirement, and a 1% abatement of air pollutants and greenhouse gas emissions are estimated to be KRW 71 (USD 0.06), 51 (0.05), 28 (0.03), and 77 (0.07), respectively, per household per year. The expected improvements for the four attributes are 25.2%, 17.7%, 17.7%, and 1.0%, respectively. Thus, the expected environmental benefits are worth KRW 3265 (USD 2.96) per household per year and the national value amounts to KRW 63.74 billion (USD 57.77 million).

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Community stakeholder preferences for evidence-based practice implementation strategies in behavioral health: a best-worst scaling choice experiment

BMC Psychiatry ◽

10.1186/s12888-021-03072-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Nathaniel J. Williams ◽

Molly Candon ◽

Rebecca E. Stewart ◽

Y. Vivian Byeon ◽

Meenakshi Bewtra ◽

...

Keyword(s):

Latent Class Analysis ◽

Behavioral Health ◽

Performance Feedback ◽

Choice Experiment ◽

Latent Class ◽

Implementation Strategies ◽

Evidence Based ◽

Clinical Consultation ◽

Best Worst Scaling ◽

Stakeholder Preferences

Abstract Background Community behavioral health clinicians, supervisors, and administrators play an essential role in implementing new psychosocial evidence-based practices (EBP) for patients receiving psychiatric care; however, little is known about these stakeholders’ values and preferences for implementation strategies that support EBP use, nor how best to elicit, quantify, or segment their preferences. This study sought to quantify these stakeholders’ preferences for implementation strategies and to identify segments of stakeholders with distinct preferences using a rigorous choice experiment method called best-worst scaling. Methods A total of 240 clinicians, 74 clinical supervisors, and 29 administrators employed within clinics delivering publicly-funded behavioral health services in a large metropolitan behavioral health system participated in a best-worst scaling choice experiment. Participants evaluated 14 implementation strategies developed through extensive elicitation and pilot work within the target system. Preference weights were generated for each strategy using hierarchical Bayesian estimation. Latent class analysis identified segments of stakeholders with unique preference profiles. Results On average, stakeholders preferred two strategies significantly more than all others—compensation for use of EBP per session and compensation for preparation time to use the EBP (P < .05); two strategies were preferred significantly less than all others—performance feedback via email and performance feedback via leaderboard (P < .05). However, latent class analysis identified four distinct segments of stakeholders with unique preferences: Segment 1 (n = 121, 35%) strongly preferred financial incentives over all other approaches and included more administrators; Segment 2 (n = 80, 23%) preferred technology-based strategies and was younger, on average; Segment 3 (n = 52, 15%) preferred an improved waiting room to enhance client readiness, strongly disliked any type of clinical consultation, and had the lowest participation in local EBP training initiatives; Segment 4 (n = 90, 26%) strongly preferred clinical consultation strategies and included more clinicians in substance use clinics. Conclusions The presence of four heterogeneous subpopulations within this large group of clinicians, supervisors, and administrators suggests optimal implementation may be achieved through targeted strategies derived via elicitation of stakeholder preferences. Best-worst scaling is a feasible and rigorous method for eliciting stakeholders’ implementation preferences and identifying subpopulations with unique preferences in behavioral health settings.

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Consumers’ Sense of Farmers’ Markets: Tasting Sustainability or Just Purchasing Food?

10.20944/preprints201608.0061.v1 ◽

2016 ◽

Author(s):

Elisa Giampietri ◽

Dieter Koemle ◽

Xiaohua Yu ◽

Adele Finco

Keyword(s):

Agricultural Production ◽

Choice Experiment ◽

Food Systems ◽

Consumer Preferences ◽

Environmental Benefits ◽

Sustainable Food ◽

Alternative Food Systems ◽

Policy Makers ◽

Production And Consumption

Sustainable food consumption has attracted a widespread attention during last decades by scholars, policy makers and consumers. In line with this, farmers’ markets (FMs) have the potential to encourage sustainable agricultural production and consumption. By reducing the number of actors and distances along the food chain, these alternative food systems foster the reconnection between farmers and consumers and contribute to different social, economic and environmental sustainable goals. This paper provides insights on the role of consumers' sustainability concerns related to their motivation for shopping at FMs. By means of a choice experiment, we analyze the determinants of consumers’ WTP for buying apples at FMs. We are particularly interested in understanding how attitudes towards the three sustainability dimensions are related to consumer preferences in this context. We find that consumer attitudes towards direct contact with producers, contributing to farmers’ income, and environmental benefits can be directly related to product characteristics that are specific to FMs.

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The Willingness to Pay for Residential PV Plants in Italy: A Discrete Choice Experiment

Sustainability ◽

10.3390/su131910544 ◽

2021 ◽

Vol 13 (19) ◽

pp. 10544

Author(s):

Paolo Bragolusi ◽

Chiara D’Alpaos

Keyword(s):

Discrete Choice Experiment ◽

Discrete Choice ◽

Choice Experiment ◽

Power Plants ◽

Ghg Emissions ◽

Cost Effective ◽

Environmental Benefits ◽

Investment Strategies ◽

Market Prices ◽

The Impact

PV energy generates economic and environmental benefits (e.g., energy cost-saving, GHG emissions reduction, etc.), which can be capitalized into market prices. There is, therefore, growing interest in assessing the value that PV systems add to solar homes (i.e., homes equipped with PV production plants) market prices. Although the number of solar homes has experienced rapid growth in Europe and Italy, literature investigating the impact of PV power plants on home values is still very limited. This paper aims to fill this gap. We implement a Discrete Choice Experiment (DCE) approach to estimate individuals’ WTP for different typologies of domestic PV plants, which vary in technical characteristics. Our findings show that homebuyers are willing to pay a price premium for solar homes, ranging from some 3% to some 15%, depending on PV panels’ characteristics. These results can provide a wealth of recommendations to different interested parties such as homeowners, homebuyers, realtors, and governments, seeking knowledge on the capitalization effect of residential PV plants on the housing market to implement cost-effective investment strategies or design optimal policy incentives.

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Do Environmental Benefits Matter? A Choice Experiment Among House Owners in Germany

SSRN Electronic Journal ◽

10.2139/ssrn.1739749 ◽

2010 ◽

Cited By ~ 36

Author(s):

Martin Achtnicht

Keyword(s):

Choice Experiment ◽

Environmental Benefits

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“Adapted” Habitat Evaluation Procedure and Choice Experiment: Substitutes or Complements?

Water Economics and Policy ◽

10.1142/s2382624x20500046 ◽

2020 ◽

Vol 06 (02) ◽

pp. 2050004

Author(s):

Nathalie Dumax ◽

Anne Rozan ◽

Bénédicte Rulleau

Keyword(s):

Choice Experiment ◽

Environmental Changes ◽

Environmental Policies ◽

Ecological Indicators ◽

Environmental Benefits ◽

Evaluation Procedure ◽

Perceived Benefits ◽

Method Choice ◽

Habitat Evaluation ◽

Valuation Method

In this paper, we assess the environmental benefits derived from a wetland restoration plan. We assume that some of these benefits are “familiar” and thus fully perceived by the population; whereas those with more complex origins are “unfamiliar” and thus poorly perceived and valued. Well perceived benefits can often be assessed from carefully constructed conventional economic approaches based on preferences. However, the biases of these approaches become too significant for poorly perceived benefits which require alternative valuation methods. The “adapted” Habitat Evaluation Procedure (HEPa) “benefit” seeks to value environmental benefits through a non-monetary metric, the habitat unit. It evaluates marginal environmental changes using ecological indicators instead of preferences. Our aim is to test the possibility of combining a conventional monetary valuation method (choice experiment) with a non-monetary alternative valuation method (HEPa) to see whether such a combination could improve the assessment of benefits stemming from positive impacts of environmental policies. By so doing, we seek to contribute to a better integration of ecosystem services into the processes of planning, management, and decision-making regarding natural areas.

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Community Stakeholder Preferences for Evidence-Based Practice Implementation Strategies in Behavioral Health: A Best-Worst Scaling Choice Experiment

10.21203/rs.3.rs-55991/v1 ◽

2020 ◽

Author(s):

Nathaniel Williams ◽

Molly Candon ◽

Rebecca Stewart ◽

Y. Vivian Byeon ◽

Meenakshi Bewtra ◽

...

Keyword(s):

Behavioral Health ◽

Performance Feedback ◽

Financial Incentives ◽

Choice Experiment ◽

Latent Class ◽

Implementation Strategies ◽

Evidence Based ◽

Clinical Consultation ◽

Best Worst Scaling ◽

Stakeholder Preferences

Abstract Background: Community behavioral health clinicians, supervisors, and administrators play an essential role in implementing new psychosocial evidence-based practices (EBP) for patients receiving psychiatric care; however, little is known about these stakeholders’ values and preferences for implementation strategies that support EBP use, nor how best to elicit, quantify, or segment their preferences. This study sought to quantify clinician, supervisor, and administrator preferences for implementation strategies and to identify segments of these stakeholders with distinct preferences using a rigorous choice experiment method called best-worst scaling (BWS). Methods: A total of 240 clinicians, 74 clinical supervisors, and 29 administrators delivering publicly funded behavioral health services in a large metropolitan behavioral health system participated in a best-worst scaling choice experiment. Participants evaluated 14 implementation strategies developed through extensive elicitation and pilot work within the target system. Preference weights were generated for each strategy using hierarchical Bayesian estimation. Latent class analysis identified segments of stakeholders with unique preference profiles. Results: On average, clinicians, supervisors, and administrators preferred two strategies significantly more than all others—compensation for use of EBP per session and compensation for preparation time to use the EBP; two strategies were preferred significantly less than all others—performance feedback via email and performance feedback via leaderboard. However, latent class analysis identified four distinct segments of stakeholders with unique preferences: Segment 1 (n = 121, 35%) strongly preferred financial incentives over all other approaches; Segment 2 (n = 80, 23%) preferred technology-based strategies; Segment 3 (n = 52, 15%) preferred an improved waiting room to enhance client readiness and strongly disliked any type of clinical consultation; Segment 4 (n = 90, 26%) rejected financial incentives and strongly preferred strategies focused on clinical consultation. Conclusions: The presence of four heterogeneous subpopulations within this large group of behavioral health administrators, supervisors, and clinicians suggests optimal implementation may be achieved through targeted strategies derived via elicitation of stakeholder preferences. Best-worst scaling is a feasible, systematic, and rigorous method for eliciting stakeholders’ implementation preferences and identifying subpopulations with unique preferences in behavioral health settings.

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