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This study assesses farmers' preferences for the adoption of grass strips as cropland conservation measures and explores the effects of information on their preferences. We further analyze these preferences for plots with varying levels of tenure security and erosion vulnerability. Using survey data from Southern Ethiopia, a plot‐level discrete choice experiment in two rounds that includes a video‐based information treatment in a within‐subject design is conducted. The findings show that farmers prefer to adopt grass strips with a high conservation potential, that can be used as feedstock and that help to stabilize physical structures or delineate plot boundaries. In addition, information transfer increases preferences for adopting grass strips with not only a high conservation potential but also a medium conservation potential. The effects of the information transfer on preferences are found to be heterogeneous and vary with plot characteristics. Under well‐defined property rights, farmers prefer to adopt the grass strips for stabilizing physical structures, conserving their cropland against environmental risk or boundary delineation. However, under weak tenure security, they prefer to plant grass strips only for boundary delineation to reduce the institutional risk of losing cropland, but this preference was only observed after information provision. These findings highlight the importance of designing and implementing context‐specific agricultural information dissemination systems and that well‐defined land rights increase the adoption of land conservation technology in the global south. [ABSTRACT FROM AUTHOR]

Promoting bicycling and making it attractive requires appropriate infrastructure. Sociodemographic characteristics, frequency and experiences of bike use, and purpose of bicycle trips can affect preferences towards bicycle infrastructure facilities in urban areas. Hence, this study aims to explore the heterogeneity in the perceived importance of bicycle infrastructure facility attributes in various cyclist groups based on gender, age, weekly biking frequency, daily cycling distance, cycling experience, and bicycle trip purpose. Data were collected from bicycle users through a questionnaire disseminated via social media platforms and QR code brochures distributed in Hasselt, Belgium. A 5-point Likert-type ordinal scale was used to collect data on the perceived importance of bicycle infrastructure facility indicators. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the indicators. At the same time, Mann–Whitney U and Kruskal–Wallis tests were utilized to verify the heterogeneity among the groups. The findings reveal that bicycle infrastructure, i.e., bicycle lanes or paths, is the most critical variable, while the slope was considered the least important. No heterogeneity was found regarding the importance of bicycle infrastructure indicators based on gender. However, heterogeneity was observed based on age, daily bicycle use, cycling experience, weekly bicycle use, and bicycle trip purpose. The findings of this research help urban and transport planners develop improvement strategies for the city's existing bicycling facilities and prioritize future developments by considering various cyclist groups' preferences. [ABSTRACT FROM AUTHOR]

This paper examines how objective and subjective heterogeneity in life expectancy affects savings behavior of healthy and unhealthy people. Using data from the Health and Retirement Study, we first document systematic biases in survival beliefs across self‐reported health: those in poor health not only have a shorter actual lifespan but also underestimate their remaining life time. To gauge the effect on savings behavior and wealth accumulation, we use an overlapping‐generations model where survival probabilities and beliefs evolve according to a health and survival process estimated from data. We conclude that differences in life expectancy are important to understand savings behavior, and that the belief biases, especially among the unhealthy, can explain up to a fifth of the observed health‐wealth gap. [ABSTRACT FROM AUTHOR]

Abstract Background Common bean breeders strive to deliver farmer- and consumer-preferred varieties that are well-adapted to distinct production environments, changing markets and end uses. However, there is information gap on the key traits that customers prefer and are willing to pay for. This paper examined the preferences and willingness to pay for reduced cooking time and other selected traits in the Ugandan bean markets using a choice experiment data elicited from 1152 urban and rural bean consuming households. A latent class model was used to assess preferences and the willingness to pay for reduced cooking time. Results Results indicated that taste, cooking time, bean swelling on cooking, and grain color were the preferred attributes in decreasing order among non-bean-producers. About 72% of the urban consumers were willing to pay 41 shillings, 53 shillings and 42 shillings above prices for reduction in cooking time from 120 (status quo) to 90, 75, and 60 min, respectively. For consumers who also grow their beans for food and surplus for sale, reduced cooking time is important but not as much as yield and climate resilience. The study identified four distinct customer segments—two among bean-producing households and two among non-bean-producing households. Gender, education, level of altruism/openness to change, household economic status, and price sensitivity were the major factors influencing segment membership. Conclusions The study findings demonstrated that breeding to reduce cooking time will generate a significant social savings in terms of less cooking fuel, water and time, but cooking time ought to be considered alongside other attributes preferred by consumers and farmers to succeed. Results also suggest that women urban consumers attach more importance to higher levels of intrinsic traits (non-visible but experienced by consumers) compared to men—thus promotional campaigns popularizing new varieties should target women to stimulate demand.

A maternal vaccine and long-acting monoclonal antibody (mAb) were recently approved to protect infants against respiratory syncytial virus (RSV). We identified subgroups of pregnant people with different preferences for RSV preventives and respondent characteristics associated with subgroup membership. An online survey, including a discrete choice experiment (DCE), was conducted among US pregnant people. RSV preventive attributes included effectiveness, duration of protection during RSV season, injection recipient/timing, preventive type (vaccine or mAb), and type of visit required to receive injection. In DCE choice tasks, pregnant people selected between two hypothetical preventive profiles with varying attribute-levels and a no-preventive option. Logistic regression, including latent class analysis (LCA), was used to analyze the data. Of 992 pregnant people (mean age: 30.0 years), 60.3% were expecting their second/later birth. LCA identified three preference subgroups: ‘Effectiveness’ (preventive choice mostly driven by increases in effectiveness; 51.4% class membership probability), ‘Season’ (preventive choice mostly driven by improvement in duration of protection during the RSV season; 39.2% class membership probability), and ‘No Preventive’ (frequently chose no-preventive option; 9.4% class membership probability). ‘Effectiveness’ and ‘Season’ preferred maternal vaccine over mAb; mAb was preferred by ‘No Preventive.’ Perceiving RSV as serious for infants, higher health literacy, and lower household income were associated with ‘Effectiveness.’ Perceiving RSV as serious for pregnant people was associated with ‘Season.’ Perceiving RSV to not be serious for pregnant people and not being employed were associated with ‘No Preventive.’ Subgroups of pregnant people vary in preferences for RSV preventives. Most pregnant people preferred a maternal vaccine, although some may be more willing to accept alternative preventive options.

This study addresses a gap in cultural ecosystem service (CES) assessment of prime farmland located in peri-urban areas by presenting results from a choice experiment recently conducted in Utah’s Wasatch Front region. The choice experiment was designed to account for heterogeneous effects associated with a wide array of socio-demographic and attitudinal characteristics on household preferences for farmland preservation, including farmland used for the joint production of solar power and agricultural products. We apply a mixed-logit model to our data that controls for preference heterogeneity among Wasatch Front households along two dimensions – at the individual household level and according to different household types. We find that the typical household is willing to pay a non-trivial annual fee to preserve the region’s existing peri-urban farmland, and to a lesser extent is willing to pay for agrivoltaics on that land. We also find some evidence of preference heterogeneity among different types of households for farmland preservation and agrivoltaics; heterogeneity based upon traditional socio-demographic characteristics such as household income and location, as well as unique attitudinal differences related to how households view themselves in relation to agriculture, farmland preservation, and the extent to which taxation is an appropriate mechanism to fund local public goods. These findings can serve as crucial components of broader land-use studies designed to account for the full range of agri-environmental ecosystem services. [ABSTRACT FROM AUTHOR]

The typical method of solving for the optimal nonlinear tax schedule relies on deriving optimal incentive-compatible allocations. While this "primal approach" is mathematically rigorous, it lacks intuitive appeal. This paper considers a different method that relies on directly solving for the optimal tax system. This "dual approach" is much closer to actual tax policy as it centers around the welfare effects of tax reforms. I show that it can easily incorporate preference heterogeneity, as well as individual utility misoptimization. Beyond solving for the optimal tax system, the dual approach allows one to obtain insights into the welfare effects of small nonlinear tax reforms outside the optimum. [ABSTRACT FROM AUTHOR]

New energy vehicles (NEVs) have emerged as a promising solution to reduce carbon emissions and address environmental concerns in the transportation sector. In order to effectively accelerate market acceptance, it is crucial to prioritize the heterogeneity of consumer preferences for NEV attributes. This study employs the multinomial logit model (MNL) and latent class model (LCM) to investigate both observed and unobserved preference heterogeneity based on stated preferences obtained from a discrete choice experiment conducted across seven cities in China. Results from the MNL model indicate that all attributes significantly influence alternative utility. In particular, there are differences in the willingness to pay (WTP) for attributes of battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Analysis of MNL subgroups reveals observed heterogeneity in WTP for identical attributes among consumers from regions with different latitudes and markets with different NEV penetration rates. Furthermore, the LCM model uncovers unobserved preference heterogeneity by classifying respondents into four distinct classes and identifies specific socioeconomic variables associated with each class. The recognition of heterogeneous WTP for NEV attributes across vehicle types, regions, markets, and consumer classes provides important implications for formulating targeted policies that promote the sustainable development of the NEV industry. [ABSTRACT FROM AUTHOR]

This research elucidates the intricate landscape of citizen preferences within Jakarta's Transit-Oriented Development (TOD) domain, navigating through environmental services integration and smart city initiatives. With Jakarta experiencing exponential urbanization, TOD is a pivotal strategy to amalgamate residential, commercial, and recreational spaces, seamlessly coupled with effective public transportation systems. However, achieving optimal urban living within TODs demands a deep understanding of Jakarta's citizens' diverse and nuanced preferences and needs. This study fills significant gaps in the existing literature by investigating citizen preferences' heterogeneity and willingness to pay (MWTP) for integrated environmental services in TODs. Employing advanced methodologies like the Random Parameter Logit (RPL) and the Latent Class Model (LCM), this research offers a granular insight into citizens' varied preferences and their financial commitments toward enhanced environmental services. The insights derived have been crucial in formulating pragmatic recommendations for refining TOD management strategies and policies in Jakarta, ultimately contributing to urban landscapes' equitable and sustainable development. Through a detailed exploration of preference heterogeneity and the integration of smart city concepts within TOD frameworks, this study paves the way for more inclusive, innovative, and citizen-centric urban development paradigms.

Abstract Background Energy cooperatives in Europe have become more prominent due to the growing interest in and development of renewable energy sources. Cooperatives are often seen as an instrument in the transition to a low-carbon future. The cooperative prosumer is gaining importance, taking on the role of both consumer and producer by setting up and joining electricity cooperatives as investors, shareholders and clients. As is the case with other cooperatives and social enterprises, there are tensions and trade-offs to be made between social, ecological and financial goals. To navigate these tensions and to work towards becoming a resilient institution, it is important that cooperatives preserve their support base made up of their members, who are both clients and shareholders. This study investigates the preference heterogeneity and motivations of members of a large energy cooperative in Belgium, by using stated-choice data from a Discrete Choice Experiment in combination with self-reported membership motives. Results Despite the significant presence of member preferences for participation and democratic voting rights, the financial and above all the ecological motives seem to be most important for being a member of the energy cooperative. Based on the stated-choice data, we classify three member types: the financial, the ecological and the social–societal member type. We find a small discrepancy in motives between members who joined early and members who joined later. Where early members care most about ecological aspects, members who joined later have more societal and financial considerations. In terms of effect size and willingness to pay per kilowatt hour, ecological motives prove to be by far the most important factor for cooperative energy prosumers in our sample. In addition, the latent-class analysis shows that over half of the member sample belongs to the ecological motives class. Conclusions Preference heterogeneity is present to an extent, but there is an overarching preference for sustainability. Though, cooperatives should be aware that their legal form may not be the only factor that drives membership. Rather, keeping high levels of renewable energy, competitive pricing and being an interesting investment opportunity may be key to cooperatives’ resilience and further development on the energy market.

Understanding housing preferences is critical for successful compact city development. However, there is limited research on understanding preference heterogeneity in dwelling type choices. Using the Household Income and Labour Dynamics in Australia survey, this paper identifies the key housing and built environment characteristics associated with changes in dwelling type choice from detached houses to high-density. A latent class choice model captures the heterogeneity of dwelling type preferences within a traditionally low-density city, Brisbane, Australia. Findings reveal six household classes with distinct dwelling preferences: Class 1 (senior households without children with other family members) and Class 2 (couple families with children) in inner-city areas, Class 3 (high-income young households) and Class 4 (low-income households without children) in middle-city areas, Class 5 (low-income families with children) and Class 6 (middle-income young families without children) in outer-city areas. Residential environments with better access to educational facilities encourage Classes 3 and 6 to change to high-density living. Greater land use diversity encourages Classes 2, 3, and 6 to move towards high-density living. The findings can be used to design and improve high-density housing for targeted population groups across inner-, middle- and outer-city areas.

Promoting bicycling and making it attractive requires appropriate infrastructure. Sociodemographic characteristics, frequency and experiences of bike use, and purpose of bicycle trips can affect preferences towards bicycle infrastructure facilities in urban areas. Hence, this study aims to explore the heterogeneity in the perceived importance of bicycle infrastructure facility attributes in various cyclist groups based on gender, age, weekly biking frequency, daily cycling distance, cycling experience, and bicycle trip purpose. Data were collected from bicycle users through a questionnaire disseminated via social media platforms and QR code brochures distributed in Hasselt, Belgium. A 5-point Likert-type ordinal scale was used to collect data on the perceived importance of bicycle infrastructure facility indicators. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the indicators. At the same time, Mann–Whitney U and Kruskal–Wallis tests were utilized to verify the heterogeneity among the groups. The findings reveal that bicycle infrastructure, i.e., bicycle lanes or paths, is the most critical variable, while the slope was considered the least important. No heterogeneity was found regarding the importance of bicycle infrastructure indicators based on gender. However, heterogeneity was observed based on age, daily bicycle use, cycling experience, weekly bicycle use, and bicycle trip purpose. The findings of this research help urban and transport planners develop improvement strategies for the city’s existing bicycling facilities and prioritize future developments by considering various cyclist groups’ preferences.

We develop a dynamic model to examine how information nudges influence digital services' consumer usage behavior and welfare under a three-part tariff structure. We study two types of information nudging: nudging through full and nudging through partial information provision. In the former, information nudges are provided to inform consumers of their usage status at every decision point in a billing cycle. In contrast, in the latter, consumers are nudged at one or more decision points within a billing cycle but not throughout the billing cycle. Our model considers two dimensions of consumer heterogeneity: inattentiveness and preference. Furthermore, our model investigates an important but under-investigated design element of information nudges, namely, the timing of the information nudges. We find that (1) nudging through information provision influences inattentive consumers' usage decisions and improves consumption efficiency, (2) consumers' welfare gains from full information nudging depict an inverted-U shape contingent on consumers' preference heterogeneity, and (3) the timing of nudging matters. Our findings provide managerial implications for the design of information nudging strategies and procedures. Finally, we empirically illustrate the analytical results in the context of consumers' mobile data usage behavior. [ABSTRACT FROM AUTHOR]

Background: Energy cooperatives in Europe have become more prominent due to the growing interest in and development of renewable energy sources. Cooperatives are often seen as an instrument in the transition to a low-carbon future. The cooperative prosumer is gaining importance, taking on the role of both consumer and producer by setting up and joining electricity cooperatives as investors, shareholders and clients. As is the case with other cooperatives and social enterprises, there are tensions and trade-offs to be made between social, ecological and financial goals. To navigate these tensions and to work towards becoming a resilient institution, it is important that cooperatives preserve their support base made up of their members, who are both clients and shareholders. This study investigates the preference heterogeneity and motivations of members of a large energy cooperative in Belgium, by using stated-choice data from a Discrete Choice Experiment in combination with self-reported membership motives. Results: Despite the significant presence of member preferences for participation and democratic voting rights, the financial and above all the ecological motives seem to be most important for being a member of the energy cooperative. Based on the stated-choice data, we classify three member types: the financial, the ecological and the social–societal member type. We find a small discrepancy in motives between members who joined early and members who joined later. Where early members care most about ecological aspects, members who joined later have more societal and financial considerations. In terms of effect size and willingness to pay per kilowatt hour, ecological motives prove to be by far the most important factor for cooperative energy prosumers in our sample. In addition, the latent-class analysis shows that over half of the member sample belongs to the ecological motives class. Conclusions: Preference heterogeneity is present to an extent, but there is an overarching preference for sustainability. Though, cooperatives should be aware that their legal form may not be the only factor that drives membership. Rather, keeping high levels of renewable energy, competitive pricing and being an interesting investment opportunity may be key to cooperatives' resilience and further development on the energy market. [ABSTRACT FROM AUTHOR]

Effectively assessing public preferences for air quality improvement policies is extremely important to environmental policy formulation, but developing policies that cater to public tastes is a great challenge. Although the random parameters logit (RPL) model in the choice experiment is widely used in relevant studies, it remains limited in revealing additional preference heterogeneity. Given this, the study applies two extended models in exploring public preference heterogeneity for air quality policies. An RPL model with heterogeneity in means and variances (RPL-HMV) and an RPL model with correlated random parameters (RPL-CRP) are used to provide more beneficial insights for policy analysis. The study shows that better-educated groups are more willing to pay for increasing urban green coverage, and income increases the randomness of such preferences' distribution among groups. From the perspective of preferences, reducing heavy pollution days is positively associated with decreasing morbidity of respiratory diseases caused by outdoor air pollution and negatively correlated with improving urban green coverage. In addition, compared to the RPL-CRP model, the willingness to pay in the RPL model is overestimated by 14.72%. The study further clarifies public preferences for air quality policies, and the extra information revealed by extended models provides more valuable references for policy-making. [ABSTRACT FROM AUTHOR]

A generalized multinomial logit (G-MNL) model is proposed to alleviate the four challenges inherent to the conditional logit model, including (1) simultaneous unidentifiability, (2) the immediacy of decision-making, (3) the homogeneity of preferences in unobservable variables, and (4) the independence of irrelevant alternatives. However, the G-MNL model has some restrictions that are caused by the assumed logit scale of the lognormal distribution used in the G-MNL model. We propose a mixed logit with integrated Pareto-distributed scale (MIXL-iPS) model to address the restriction of the G-MNL model by introducing a logit scale in accordance with the Pareto distribution type I with an expected value of 1. We have clarified the mathematical properties and examined the distributional properties of the novel MIXL-iPS model. The results suggest that the MIXL-iPS model is a model in which the instability in the estimation of the G-MNL model is modified. Moreover, the apparent preference parameter was confirmed to have a skewed distribution in general in the MIXL-iPS model. In addition, we confirm that in the MIXL-iPS model, bounded rationality is reasonably well represented, as many individuals have below-average choice consistency. [ABSTRACT FROM AUTHOR]

Under the framework of payment for transboundary watershed ecosystem services (ESs), identifying midstream and downstream residents' preference and willingness to pay (WTP) for ESs provided by the upstream is crucial for sustainable watershed management. The residents' preferences and WTP are not evenly distributed within the watershed. This study uses a choice experiment assessing the spatial impact of physical distance (including residents' watershed location and distance to waterbody) and psychological distance on residents' preference and WTP for the Wei River Basin ESs. The results showed that midstream and downstream residents' preference and WTP for the ecological attributes have a significant distance-decay effect, either the physical distance to the upstream exit or physical and psychological distance to the waterbody. However, compared with the residents in the midstream, the residents downstream have a stronger preference and WTP for upstream ecological governance. Besides, the distance-decay effect differs between urban and rural residents. There is a psychological distance-decay effect in rural residents' preference for water quality and a physical distance-decay effect in their preference for water quantity, entertainment area, and cost; there is a physical distance decay effect in urban residents' preference for entertainment areas. The above differences lead to heterogeneity in WTP and total economic value (TEV) for ESs. When calculating the TEV of the transboundary watershed ES and charging the public, policymakers should consider the location of the residents, the physical and psychological distance to the water body, and the difference between urban and rural areas. [ABSTRACT FROM AUTHOR]

The "last-mile problem" of public transportation is one of the main obstacles affecting travelers who choose to utilize public transport. Although autonomous vehicles (AVs) have made much progress, they have not been officially put into commercial use. This paper adopts stated preference experiments to explore the impact of shared AVs on the last-mile travel behavior of metro users and takes Wuhan as an example for case analysis. First of all, this paper establishes a structural equation model (SEM) based on the theory of planned behavior to explore latent psychological variables, including travelers' attitudes (ATTs), subjective norms (SNs), perceived behavior control (PBC), and behavioral intention of use (BIU) toward AVs. These latent psychological variables are incorporated into the latent class (LC) logit model to establish a hybrid model with which to study the factors and degree of influence on the travel mode choices of travelers for the last mile of their metro trips. The results show that travelers have preference heterogeneity for the travel mode choices for the last mile of metro trips. Through the analysis of LCs, education, career, and income significantly impact the classification of LCs. The latent psychological variables towards AVs have a significant impact on the travel behavior of respondents, but the impacts vary among different segments. Elastic analysis results illustrate that a 1% increase in the travel cost for shared AVs in segment 1 leads to a 7.598% decrease in the choice probability of using a shared AV. Respondents from different segments vary significantly in their willingness to pay for their usage, and the value of travel time for high-income groups is relatively higher. [ABSTRACT FROM AUTHOR]

To achieve the UNAIDS target of diagnosing 95% of all persons living with HIV, enhanced HIV testing services with greater attractional value need to be developed and implemented. We conducted a discrete choice experiment (DCE) to quantify preferences for enhanced HIV testing features across two high-risk populations in the Kilimanjaro Region in northern Tanzania. We designed and fielded a survey with 12 choice tasks to systematically recruited female barworkers and male mountain porters. Key enhanced features included: testing availability on every day of the week, an oral test, integration of a general health check or an examination for sexually transmitted infections (STI) with HIV testing, and provider-assisted confidential partner notification in the event of a positive HIV test result. Across 300 barworkers and 440 porters surveyed, mixed logit analyses of 17,760 choices indicated strong preferences for everyday testing availability, health checks, and STI examinations. Most participants were averse to oral testing and confidential partner notification by providers. Substantial preference heterogeneity was observed within each risk group. Enhancing HIV testing services to include options for everyday testing, general health checks, and STI examinations may increase the appeal of HIV testing offers to high-risk populations. Trial registration: ClinicalTrials.gov identifier: NCT02714140. [ABSTRACT FROM AUTHOR]

This study analyses how preference heterogeneity across EU member states affects the adoption of soft-law acts over time. On the one hand, high diversity in policy preferences is expected to increase the proportion of soft-law instruments because governments are less likely to agree to binding measures. Conversely, preference heterogeneity could also decrease soft law due to the perceived threat of compliance problems. We test these competing arguments using a dataset on all EU soft-law and hard-law instruments adopted between 1967 and 2019. The results show that preference heterogeneity increases the share of soft EU instruments. However, more past heterogeneity prompts EU legislators to decrease the proportion of softer measures in areas that experience high levels of past non-compliance. [ABSTRACT FROM AUTHOR]

We empirically investigate the harbinger of failure phenomenon in the motion picture industry by analyzing the pre-release reviews written on movies by film critics. We find that harbingers of failure do exist. Their positive (negative) pre-release movie reviews provide a strong predictive signal that the movie will turn out to be a flop (success). This signal persists even for the top critic category, which usually consists of professional critics, indicating that having expertise in a professional domain does not necessarily lead to correct predictions. Our findings challenge the current belief that positive reviews always help enhance box office revenue and shed new light on the influencer-predictor hypothesis. We further analyze the writing style of harbingers and provide new insights into their personality traits and cognitive biases. [ABSTRACT FROM AUTHOR]

The paper analyzes stockouts resulting from hurricanes to study whether consumers are persistent in their brand choices. We analyze structural state dependence in brand choice using variation from brand switching during stockouts caused by hurricanes. We derive a simple test for structural state dependence based on the time series of choice persistence for households affected by the stockouts. Using data from the bottled water category, we show that demand increases substantially before hurricanes, causing households to purchase different brands. We find that purchase behavior reverts back to its pre-hurricane trajectory immediately after a hurricane, and we are not able to reject the null hypothesis of no structural state dependence. By contrast, the common approach of estimating structural state dependence based on temporal price variation via a discrete choice model yields a positive effect using data for the same category. We argue that our approach is better suited to identify the causal impact of past choices because it requires fewer assumptions and is based on more plausibly exogenous variation in brand switching resulting from stockouts. History: Avi Goldfarb served as the senior editor and Günter Hitsch served as associate editor for this article. Supplemental Material: The data files are available at https://doi.org/10.1287/mksc.2022.1415. [ABSTRACT FROM AUTHOR]

Recommender systems utilize social relationships to improve recommendation performance. This study explores social characteristics and how they affect recommendation performance. We define social characteristics as network embeddedness and preference heterogeneity. Taking rating characteristics as control variables, we build a regression model to explore the impact of two social characteristics on user-level predictive accuracy and the moderating effect of preference heterogeneity on the relationship between network embeddedness and user-level predictive accuracy. The results suggest that network embeddedness positively influences predictive accuracy, whereas preference heterogeneity negatively influences it. Our research reveals that as the preference heterogeneity increases, the positive effect of network embeddedness on predictive accuracy weakens. Preference heterogeneity has a greater impact on user-level predictive accuracy than network embeddedness. Our findings provide management implications for recommender system designers, which is of great significance for improving the accuracy of user-level prediction and reducing user complaints. [ABSTRACT FROM AUTHOR]

Previous research has shown that there exist "harbinger customers" who systematically purchase new products that fail (and are discontinued by retailers). This article extends this result in two ways. First, the findings document the existence of "harbinger zip codes." If households in these zip codes adopt a new product, this is a signal that the new product will fail. Second, a series of comparisons reveal that households in harbinger zip codes make other decisions that differ from other households. The first comparison identifies harbinger zip codes using purchases from one retailer and then evaluates purchases at a different retailer. Households in harbinger zip codes purchase products from the second retailer that other households are less likely to purchase. The analysis next compares donations to congressional election candidates; households in harbinger zip codes donate to different candidates than households in neighboring zip codes, and they donate to candidates who are less likely to win. House prices in harbinger zip codes also increase at slower rates than in neighboring zip codes. Investigation of households that change zip codes indicates that the harbinger zip code effect is more due to where customers choose to live, rather than households influencing their neighbors' tendencies. [ABSTRACT FROM AUTHOR]

Context: To inform the economic value of Loktak Lake, a Ramsar Site located in north-eastern India, and to suggest sustainable management and wise use of the Lake. Aim: To find out the stakeholder preferences and the marginal willingness to pay over improved conservation and management of Loktak Lake. Method: Choice Experiment Method, a stated preference method used for environmental valuation is employed in the study. Result: The majority of the stakeholders have indicated their strong preference for effective conservation of the Lake with improvement in the fish catch and recreational sites as part of the improved conservation and management of the Lake. Conclusion: The stakeholders' preferences vary significantly in terms of the levels of improvement for different attributes. The high preference for increased fish catch and recreational sites indicated the importance of fish in the social and economic life of the households and scope of alternative employment opportunities respectively. But reduction of phumdi is not preferred as it is linked with the traditional fishing practices. Further, the local stakeholders do not prefer increased alternative employment opportunities, which may be attributed to the trust issues between the local stakeholders and wetland managers. Implication: The livelihood options of the dependent communities should be integrated as part of the conservation and management policy of the Loktak Lake. It necessitates more inclusive wetland management or governance structure, and a framework needs to be developed with more local stakeholder participation and to develop site-specific employment generation or income generation schemes to reduce the dependence on the wetland. The participatory approach and continuous involvement of local communities in managing resources will help sustain the environment in the long run. An estimation of economic values as perceived by the primary stakeholders of Loktak Lake was conducted employing discrete choice experiment method. Proper accounting of economic values is assumed to be essential for better management of wetland resources. It has been found that there exist considerable levels of observed and unobserved preference heterogeneity among the stakeholders. The willingness to pay, as expressed by local communities, for better management of Loktak Lake highlighted the importance of developing a more inclusive approach in the management of the wetland. [ABSTRACT FROM AUTHOR]

Smallholder farmers' decisions to adopt improved varieties are expected to be critically governed by their preferences and willingness to pay for different traits of these varieties. This study examined farmers' preferences for sorghum (Sorghum bicolor (L.) Moench) variety attributes and estimated their willingness to pay (WTP) for these attributes using choice experiment data from >1,300 sorghum farmers in Tanzania. Empirical findings showed that farmers had strong preferences for sorghum varieties that were tolerant to environmental stresses, high yielding, early maturing, fetching higher grain prices, and white in color. Significant heterogeneity was observed in farmers' preferences across various traits. The WTP estimates revealed that farmers were willing to pay the highest premium for tolerance to environmental stresses, amounting, on average, to three times higher than the WTP for other traits. Our results have important implications for demand-driven variety development that could contribute to improving crop productivity and household welfare. [ABSTRACT FROM AUTHOR]

Rural development policy creation should consider recent significant changes in emerging sectors such as rural tourism. This study conducts a choice experiment (CE) in six Chinese cities to examine two things: urban residents' willingness to pay (WTP) and their heterogeneous preferences for rural attributes. Results indicate that respondents are willing to pay for the attributes such as friendly service, traditional culture, local style accommodations, and exposure to nature, with those having higher income also exhibit a higher WTP. Subsequent simulation reveals that the change of rurality greatly impacts the WTP for alternatives. Socio-demographic characteristics are found to be important sources of preference heterogeneity. Using the latent class model (LCM), respondents are divided into "rural-comfort seekers" and "rural culture and amusement lovers". These findings suggest the transformation of rural areas into diversified consumption spaces with a heightened emphasis on rurality conservation. [ABSTRACT FROM AUTHOR]

Health preference research (HPR) is the subfield of health economics dedicated to understanding the value of health and health-related objects using observational or experimental methods. In a discrete choice experiment (DCE), the utility of objects in a choice set may differ systematically between persons due to interpersonal heterogeneity (e.g., brand-name medication, generic medication, no medication). To allow for interpersonal heterogeneity, choice probabilities may be described using logit functions with fixed individual-specific parameters. However, in practice, a study team may ignore heterogeneity in health preferences and estimate a conditional logit (CL) model. In this simulation study, we examine the effects of omitted variance and correlations (i.e., omitted heterogeneity) in logit parameters on the estimation of the coefficients, willingness to pay (WTP), and choice predictions. The simulated DCE results show that CL estimates may have been biased depending on the structure of the heterogeneity that we used in the data generation process. We also found that these biases in the coefficients led to a substantial difference in the true and estimated WTP (i.e., up to 20%). We further found that CL and true choice probabilities were similar to each other (i.e., difference was less than 0.08) regardless of the underlying structure. The results imply that, under preference heterogeneity, CL estimates may differ from their true means, and these differences can have substantive effects on the WTP estimates. More specifically, CL WTP estimates may be underestimated due to interpersonal heterogeneity, and a failure to recognize this bias in HPR indirectly underestimates the value of treatment, substantially reducing quality of care. These findings have important implications in health economics because CL remains widely used in practice. [ABSTRACT FROM AUTHOR]

Abstract Objectives The global coronavirus disease 2019 (COVID‐19) pandemic has not been well controlled, and vaccination could be an effective way to prevent this pandemic. By accommodating attribute nonattendance (ANA) in a discrete choice experiment (DCE), this paper aimed to examine Chinese public preferences and willingness to pay (WTP) for COVID‐19 vaccine attributes, especially the influence of ANA on the estimated results. Methods A DCE was designed with four attributes: effectiveness, protection period, adverse reactions and price. A random parameter logit model with an error component (RPL‐EC) was used to analyse the heterogeneity of respondents' preferences for COVID‐19 vaccine attributes. Two equality constraint latent class (ECLC) models were used to consider the influence of ANA on the estimated results in which the ECLC‐homogeneity model considered only ANA and the ECLC‐heterogeneity model considered both ANA and preference heterogeneity. Results Data from 1,576 samples were included in the analyses. Effectiveness had the highest relative importance, followed by adverse reactions and protection period, which were determined by the attributes and levels presented in this study. The ECLC‐heterogeneity model improved the goodness of fit of the model and obtained a lower probability of ANA. In the ECLC‐heterogeneity model, only a small number of respondents (29.09%) considered all attributes, and price was the most easily ignored attribute (64.23%). Compared with the RPL‐EC model, the ECLC‐homogeneity model obtained lower WTPs for COVID‐19 vaccine attributes, and the ECLC‐heterogeneity model obtained mixed WTP results. In the ECLC‐heterogeneity model, preference group 1 obtained higher WTPs, and preference groups 2 and 3 obtained lower WTPs. Conclusions The RPL‐EC, ECLC‐homogeneity and ECLC‐heterogeneity models obtained inconsistent WTPs for COVID‐19 vaccine attributes. The study found that the results of the ECLC‐heterogeneity model considering both ANA and preference heterogeneity may be more plausible because ANA and low preference may be confused in the ECLC‐homogeneity model and the RPL‐EC model. The results showed that the probability of ANA was still high in the ECLC‐heterogeneity model, although it was lower than that in the ECLC‐homogeneity model. Therefore, in future research on DCE (such as the field of vaccines), ANA should be considered as an essential issue. Public Contribution Chinese adults from 31 provinces in mainland China participated in the study. All participants completed the COVID‐19 vaccine choice questions generated through the DCE design.

In many developing countries, lack of access to water and its unsustainable use and adverse health impacts are important policy issues. The challenge of improving water services in developing countries is not only limited to the provision of new connections for non-piped-source-dependent households but also to improving the service level for the already connected households to meet peoples' needs. We conducted an empirical study in Sri Lanka on 307 households with piped water supply. A choice experiment was used to assess the potential welfare gains from alternative water supply schemes in terms of water quality, reliability, and pressure, and how the schemes are managed. Currently, over 20 different water supply systems managed by either governmental organizations or community-based organizations (CBOs) provide piped water supply. We found that households are willing to pay a substantial amount for improved water service, particularly for water quality improvements. Using the latent class and random parameter logit models, we found evidence of heterogeneity in the preferences for water service improvements. We suggest that the heterogeneous preferences of the household groups should be considered in the cost–benefit analysis to pave a way for rational policy-making on water service improvements.

High atmospheric temperatures can reduce maize production in different parts of Asia. Heat stress is the major driving force behind the need for varietal development that confers a heat tolerance trait (drought + heat tolerant) to maize hybrids. CIMMYT has developed heat-tolerant maize hybrids and deployed them in the market in collaboration with NARS partners. This study was conducted to estimate farmers' willingness to pay for heat-tolerant maize hybrids in the Terai region of Nepal. A socioeconomic survey of 404 randomly selected maize-growing households was conducted to estimate farmers' willingness to pay using the contingent valuation method. Given the economic importance of heat-tolerant maize hybrids in maize cultivation, the survey showed that the average WTP for heat-tolerant maize hybrids was 71% more than that for the current varieties in the market, including overall seed sources and subsidized seed. Without a subsidy, the farmers' WTP price was at a 19% premium compared to the average price paid for conventional hybrids. Factors such as education, owning land, the interaction of hybrid adopters and owning land, soil depth, the number of goats/sheep, and the semi-pucca homes of households influenced the WTP for heat-tolerant maize hybrids. Heterogeneous demand was observed with respect to years of hybrid maize cultivation, farmers' association with the network group, and the gender of the head of the household. In the context of climate change and global warming scenarios, Nepal's agriculture policy should prioritize increasing domestic seed production and the distribution of heat-tolerant maize hybrids through a public–private partnership model. [ABSTRACT FROM AUTHOR]

Artificial beaches have made a significant contribution to the expansion of coastal tourism. Obtaining information on tourists' preferences for artificial beach tourism can help managers to better balance the relationship between the satisfaction of recreational needs and environmental protection. The Meishan Bay Beach Park in Ningbo, Zhejiang Province, China was used as the study site, and the tourists' preferences for the artificial beach park development and management were evaluated using the choice experiment method. The results revealed that tourists were generally more interested in improving the governance level of the existing landscape than in further expanding the scale of artificial beach development. Among all attributes, significantly reducing the amount of garbage was the most preferred attribute, with a willingness to pay of 39.75 CNY, while willingness to increase beach area was the lowest attribute. The result of the preference heterogeneity analysis showed that tourists with higher education levels were more willing to pay to obtain a better recreational experience, while local tourists were more concerned about reducing congestion. Moreover, we found a clear and relevant segmentation of tourists' choice behavior, with the strong sensitivity for raising the ticket price being driven by the smallest group of the sample. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) screening tests differ in benefits, harms, and processes, making individual informed decisions preference based. The objective was to analyze the preferences of insurees in Germany for characteristics of CRC screening modalities. A generic discrete choice experiment with 2-alternative choice sets and 6 attributes (CRC mortality, CRC incidence, complications, preparation, need for transportation, and follow-up; 3 levels each) depicting characteristics of fecal testing, sigmoidoscopy, and colonoscopy was generated. Participants completed 8 choice tasks. Internal validity was tested using a within-set dominated pair. Between June and October 2020, written questionnaires were sent to a stratified random sample (n = 5000) of 50-, 55-, and 60-year-old insurees of the AOK (Allgemeine Ortskrankenkasse) Lower Saxony, who had previously received an invitation to participate in the organized screening program including evidence-based information. Preferences were analyzed using conditional logit, mixed logit, and latent-class model. From 1282 questionnaires received (26% [1282 of 4945]), 1142 were included in the analysis. Approximately 42% of the respondents chose the dominated alternative in the internal validity test. Three heterogeneous preference classes were identified. Most important attributes were preparation (class 1; n = 505, 44%), CRC mortality (class 2; n = 347, 30%), and CRC incidence (class 3; n = 290, 25%). Contrary to a priori expectations, a higher effort was preferred for bowel cleansing (class 1) and accompaniment home (classes 1 and 2). Internal validity issues of choice data need further research and warrant attention in future discrete choice experiment surveys. The observed preference heterogeneity suggests different informational needs, although the underlying reasons remained unclear. • This discrete choice experiment on characteristics of colorectal cancer screening tests revealed significant heterogeneous preferences among German insurees. Three groups were identified: the largest group valued—unexpectedly—a process parameter the most, that is, comprehensive bowel preparation, whereas the other 2 groups focused on potential benefits, that is, either reduction in cancer-specific mortality or incidence. • The experiment included a within-set dominated pair for validity testing. A total of 42% chose the dominated alternative (type B respondents) and revealed significantly different preferences than type A respondents. The underlying reasons and individuals' considerations remain unknown. Internal validity issues of choice data warrant adequate attention in future discrete choice experiments. • Observed preference heterogeneity suggests different informational needs that are to be addressed by public health and healthcare services to support everyone regardless of their health literacy level in making individual informed decisions in the context of colorectal cancer screening by weighing tests' benefits, harms, and processes. [ABSTRACT FROM AUTHOR]

Understanding housing preferences is critical for successful compact city development. However, there is limited research on understanding preference heterogeneity in dwelling type choices. Using the Household Income and Labour Dynamics in Australia survey, this paper identifies the key housing and built environment characteristics associated with changes in dwelling type choice from detached houses to high-density. A latent class choice model captures the heterogeneity of dwelling type preferences within a traditionally low-density city, Brisbane, Australia. Findings reveal six household classes with distinct dwelling preferences: Class 1 (senior households without children with other family members) and Class 2 (couple families with children) in inner-city areas, Class 3 (high-income young households) and Class 4 (low-income households without children) in middle-city areas, Class 5 (low-income families with children) and Class 6 (middle-income young families without children) in outer-city areas. Residential environments with better access to educational facilities encourage Classes 3 and 6 to change to high-density living. Greater land use diversity encourages Classes 2, 3, and 6 to move towards high-density living. The findings can be used to design and improve high-density housing for targeted population groups across inner-, middle- and outer-city areas. [ABSTRACT FROM AUTHOR]

The transition to low carbon vehicles known as alternative fuel vehicles (AFVs) is well underway. This transition has been motivated partly by consumer demand and partly by legislation such as the Zero Emission Vehicle mandate, which requires manufacturers to sell a certain percentage of their vehicles as AFVs. While the long-term adoption of AFVs (specifically, electric and hybrids) may take several years, there is a need to understand consumer preferences for AFV adoption and the pathways of AFV adoption from a national perspective. Therefore, this study sought to provide information about consumer preferences regarding AFV ownership while considering spatial and unobserved heterogeneity in consumer preferences, which can potentially impact societal transition to low carbon fueled vehicles. The 2017 National Household Travel Survey was used to calibrate Bayesian logit and hierarchical models. The findings of these models reveal that higher gasoline prices contribute toward the adoption of battery electric vehicles. The results also reveal that the perceived disadvantages of AFVs for long commutes are the key barrier in wider adoption of AFVs. Interestingly, frequent use of the internet by consumers revealed a higher likelihood for purchase of hybrid vehicles. Furthermore, West Coast residents are observed to be a large portion of the early adopters and are more likely to purchase hybrids as compared to battery electric vehicles. The knowledge generated by this study has implications for making better informed decisions about AFV adoption and developing incentives to promote wider adoption of AFVs by overcoming their perceived disadvantages. [ABSTRACT FROM AUTHOR]

Autonomous vehicles (AVs) have a number of potential advantages, although some research indicates that this technology may increase dependence on private cars. An alternative approach to bringing such technology to market is through autonomous taxis (ATs) and buses, which can assist in making transportation more sustainable. This paper aims at examining the role of attitudinal, travel-related, and individual factors in preferences for a modal shift from conventional cars toward ATs and exclusive-lane autonomous buses (ELABs), exploring the existence of heterogeneity and its possible sources. The proposed mixed logit model with a decomposition of random coefficients uses 1251 valid responses from a stated preference survey distributed in Tehran, in 2019. Results show that there is significant taste variation among individuals with respect to ATs' travel costs, ELABs' travel times, and walking distances to ELAB stations. Furthermore, exploring the sources of heterogeneity indicates that women are more sensitive to ATs' travel costs and walking distances to ELAB stations while they are less sensitive to ELABs' travel times. Moreover, travel time in discretionary activities reduces the utility of ELABs more than it does in mandatory activities. Transportation authorities can use these findings to establish more effective policies for the successful implementation of AVs. [ABSTRACT FROM AUTHOR]

Objectives: Decisions about health often involve risk, and different decision makers interpret and value risk information differently. Furthermore, an individual's attitude toward health-specific risks can contribute to variation in health preferences and behavior. This study aimed to determine whether and how health-risk attitude and heterogeneity of health preferences are related.Methods: To study the association between health-risk attitude and preference heterogeneity, we selected 3 discrete choice experiment case studies in the health domain that included risk attributes and accounted for preference heterogeneity. Health-risk attitude was measured using the 13-item Health-Risk Attitude Scale (HRAS-13). We analyzed 2 types of heterogeneity via panel latent class analyses, namely, how health-risk attitude relates to (1) stochastic class allocation and (2) systematic preference heterogeneity.Results: Our study did not find evidence that health-risk attitude as measured by the HRAS-13 distinguishes people between classes. Nevertheless, we did find evidence that the HRAS-13 can distinguish people's preferences for risk attributes within classes. This phenomenon was more pronounced in the patient samples than in the general population sample. Moreover, we found that numeracy and health literacy did distinguish people between classes.Conclusions: Modeling health-risk attitude as an individual characteristic underlying preference heterogeneity has the potential to improve model fit and model interpretations. Nevertheless, the results of this study highlight the need for further research into the association between health-risk attitude and preference heterogeneity beyond class membership, a different measure of health-risk attitude, and the communication of risks. [ABSTRACT FROM AUTHOR]

During the post-Green Revolution era, numerous improved wheat varieties were released and disseminated to enhance tolerance to biotic and abiotic stresses and increase productivity. Still, in the wheat-based farming systems of the Global South, gender-based and other social inequalities continue to undermine equitable access to improved varieties, especially for women, poor, and marginalized farmers. Here, we present a case for gender-sensitive technology development, dissemination, and evaluation as part of wheat varietal improvement programs. We take stock of the various challenges that persist in the uptake of modern wheat varieties by male and female smallholders. We focus on Ethiopia and India, two geographies with substantive wheat economies, widespread poverty, and gender inequalities. The socio-economic literature on wheat is relatively thin with limited and dated gender-sensitive evaluation studies on varietal technologies in these countries. Varietal technology evaluations could ideally cover gender differences in relation to wheat varietal trait preferences, technology adoption, and associated decision-making and labor-use changes related to new varieties and complementary technologies, as well as nutritional and economic benefits. The paper calls for a need to change the institutional arrangements in wheat research-and-development (R&D) programs to understand and pursue better paths for wheat improvement to proactively contribute toward gender equity and inclusivity. [ABSTRACT FROM AUTHOR]

Most studies on decarbonizing space and water heating focus on the potential of low-carbon heating technologies from a top-down perspective, while there has been limited research on consumer preferences for low-carbon heat. To address this gap, we conduct a discrete-choice experiment among 1797 individuals in the Netherlands to estimate the willingness-to-pay (WTP) for residential-heating systems. Our results from the latent-class logit (LCL) model indicate that, on average, Dutch households are willing to pay a premium on their current monthly energy bill of 33% for electricity and 29.4% for hydrogen relative to using gas for heat production, 15.3% for reducing the amount of CO 2 emissions per kWh of heat with 100 g and 16% for having the option to switch between energy retailers. In contrast, they require a discount of 28.4% for district-heating systems relative to standalone home appliances. Additionally, the class-profiling analysis indicates that individuals with higher education and income levels in the Northern Netherlands have the highest WTP for low-carbon electricity and hydrogen. These findings suggest that policymakers should favor decentralized heating solutions over district-heating systems to facilitate an energy transition in the residential sector. If district-heating systems are implemented, combining them with electricity or hydrogen instead of natural gas is recommended to realize higher consumer welfare. [ABSTRACT FROM AUTHOR]

Nature-based solutions (NBS) are currently being promoted for urban climate change adaptation. We argue that urban planners should account for the demand for NBS, which may be spatially heterogeneous and influenced by environmental inequalities. We develop a discrete choice experiment to evaluate preferences for two co-benefits (aquifer preservation and local climate regulation), as well as one potential negative effect of NBS policies (their impact on the reduction of space available for cars in cities). The survey in a large French city reveals a strong heterogeneity of preferences for local climate regulation and for the reduction of car space. We analyze the spatial heterogeneity of preferences, and find significant spatial autocorrelation and local clusters of high/low demand for local climate regulation and for the reduction of car space. In a subsequent post-estimation model, we identify that individual's exposure to heat islands affects positively their demand for NBS policies, which allows us to effectively create a city-wide demand map for local climate regulation. In addition, individual's reliance on car use influence their demand for NBS policies. Overall, our analysis highlight that analyzing environmental inequalities is important for planning sound NBS policies. • We conduct a choice experiment to analyze demand for Nature-based Solutions. • We analyze the distribution of three types of distributional environmental inequalities. • We investigate the effect of exposure to environmental inequalities on demand. [ABSTRACT FROM AUTHOR]

A generalized multinomial logit (G-MNL) model is proposed to alleviate the four challenges inherent to the conditional logit model, including (1) simultaneous unidentifiability, (2) the immediacy of decision-making, (3) the homogeneity of preferences in unobservable variables, and (4) the independence of irrelevant alternatives. However, the G-MNL model has some restrictions that are caused by the assumed logit scale of the lognormal distribution used in the G-MNL model. We propose a mixed logit with integrated Pareto-distributed scale (MIXL-iPS) model to address the restriction of the G-MNL model by introducing a logit scale in accordance with the Pareto distribution type I with an expected value of 1. We have clarified the mathematical properties and examined the distributional properties of the novel MIXL-iPS model. The results suggest that the MIXL-iPS model is a model in which the instability in the estimation of the G-MNL model is modified. Moreover, the apparent preference parameter was confirmed to have a skewed distribution in general in the MIXL-iPS model. In addition, we confirm that in the MIXL-iPS model, bounded rationality is reasonably well represented, as many individuals have below-average choice consistency.

Introduction: Given the rapid increase in novel treatments for patients with multiple myeloma (MM), this patient preference study aimed to establish which treatment attributes matter most to MM patients and evaluate discrete choice experiment (DCE) and swing weighting (SW) as two elicitation methods for quantifying patients’ preferences. Methods: A survey incorporating DCE and SW was disseminated among European MM patients. The survey included attributes and levels informed by a previous qualitative study with 24 MM patients. Latent class and mixed logit models were used to estimate the DCE attribute weights and descriptive analyses were performed to derive SW weights. MM patients and patient organisations provided extensive feedback during survey development. Results: 393 MM patients across 21 countries completed the survey (Myears since diagnosis=6; Mprevious therapies=3). Significant differences (p<.01) between participants’ attribute weights were revealed depending on participants’ prior therapy experience, and their experience with side-effects and symptoms. Multivariate analyses showed that participants across the three MM patient classes identified via the latent class model differed regarding their past number of therapies (F=4.772, p=.009). Patients with the most treatments (class 1) and those with the least treatments (class 3) attached more value to life expectancy versus quality of life-related attributes such as pain, mobility and thinking problems. Conversely, patients with intermediary treatment experience (class 2) attached more value to quality of life-related attributes versus life expectancy. Participants highlighted the difficulty of trading-off between life expectancy and quality of life and between physical and mental health. Participants expressed a need for greater psychological support to cope with their symptoms, treatment side-effects, and uncertainties. With respect to patients’ preferences for the DCE or SW questions, 42% had no preference, 32% preferred DCE, and 25% preferred SW. Conclusions: Quality of life-related attributes affecting MM patients’ physical, mental and psychological health such as pain, mobility and thinking problems were considered very important to MM patients, next to life expectancy. This underscores a need to include such attributes in decision-making by healthcare stakeholders involved in MM drug development, evidence generation, evaluation, and clinical practice. This study highlights DCE as the preferred methodology for understanding relative attribute weights from a patient’s perspective. [ABSTRACT FROM AUTHOR]

The success of ecolabelling to promote sustainable fisheries hinges on information. We explore the effects of spatially targeted knowledge on willingness to pay for ecolabels using treatments that provide consumers with knowledge about the health of worldwide, domestic, and foreign fisheries, which can have differential effects for domestic and imported seafood. Analysis of data collected using a choice experiment indicates that spatial differences in knowledge do not necessarily influence the value of ecolabels. Knowledge of the state of domestic fisheries has no greater effect on the value consumers assign to sustainable domestic products than knowledge of world fisheries. We also find that the ecolabels generate premiums and that importing discounted the value regardless of whether additional information on fisheries was provided and of the type of spatial knowledge provided. The greatest premium for ecolabelled domestic products was achieved when the world fishery information was provided, but additional knowledge about the fishery did not affect the value of ecolabelled foreign products. Additionally, consumers who received information on the domestic fishery and viewed it as positive were willing to pay as much for the labelled domestic products as those who received information on world fisheries. [ABSTRACT FROM AUTHOR]

Lake regions face a tradeoff between water environmental conservation and social development. Although lake conservation projects along with eco-compensation policies are considered the solutions to this problem, it is often controversial and unsustainable. Therefore, it is essential to understand the key stakeholders' willingness to participate in lake conservation projects under the different compensation schemes. In this work, we conducted a choice experiment to estimate fishermen's willingness and preference for the returning fishponds to lake (RFTL) project in the Nansi Lake Nature Reserve (NLNR). Socioeconomic, perception and spatial factors are employed to analyze the preference heterogeneity of fishermen. We employed conditional logit, mixed logit and latent class models to estimates the parameters of factor variables considering the heterogeneous preferences and choice randomness across respondents. The results indicate that on average, fishermen are unwilling to change the status quo and are most concerned about the subsidy amount and contract duration in compensation contracts. However, there is obvious spatial heterogeneity in fishermen's choice preference, mainly manifested in their habitation distance to a town and fishpond location in different zones of the NLNR. Specifically, perceptions of supply and demand for water yield and water quality services significantly influence fishermen's choice, but they have opposite effects. Moreover, we estimated marginal willingness to accept (MWTA) of attributes in compensation contract and measured compensating surplus (CS) to compare different eco-compensation policy scenarios. Our results contribute to designing targeted payment policies, and promote the effective implementation of lake conservation projects and regional sustainable development. [ABSTRACT FROM AUTHOR]

Straw management is an important issue for many developing countries. In China, straw return is an effective way of straw management, involving substantial financial subsidies and impacts on public welfare through environmental improvements. The public plays a significant role as a financial source and beneficiary, and sustainable straw return policies need to respond to the public's interests and concerns. Assessments of the public's heterogeneous preferences and willingness to pay can provide useful social insights into straw return policies. However, public opinion has not received sufficient attention. To fill this gap, this study utilized random parameter logit and latent class models based on a choice experiment survey data to assess willingness to pay and preference heterogeneity for environmental benefits of straw return. The results show that urban residents were willing to pay 20.71 CNY, 17.37 CNY, and 11.79 CNY, respectively, for increasing 1% soil organic matter content, clean air days, and chemical fertilizer reduction through straw return. Respondents' preferences were significantly influenced by their socioeconomic and cognitive characteristics. Specifically, respondents with higher income and more understanding of straw return policy have a significant preference for more attributes; older, lower-income, and less understanding groups have a significant preference for fewer attributes. The findings will not only enhance the accuracy and effectiveness of straw return policies, helping to form sustainable straw return policies, but also highlighting the necessity of broadening the scope of analysis for sustainable agricultural practices to provide a more comprehensive assessment, especially for developing countries facing straw management problems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)