Coffee Weather Index Insurance(WII)provides smallholders with a critical buffer against climate-related losses.This study aims to investigate Chinese coffee farmers’preferences for coffee WII using a choice experimen...Coffee Weather Index Insurance(WII)provides smallholders with a critical buffer against climate-related losses.This study aims to investigate Chinese coffee farmers’preferences for coffee WII using a choice experiment.The results show that a majority of farmers are willing to purchase coffee WII.Attributes including the premium rate,insured amount,premium subsidy,and type of protection significantly influence farmers’preferences.Specifically,farmers favor coffee WII with revenue protection,a lower insured amount,a higher premium subsidy,and a lower premium rate.Basis risk does not significantly deter uptake.Furthermore,farmers’gender,education level,and their anticipated impact of future high temperatures on coffee production play pivotal roles in shaping WII demand.These findings offer valuable insights for insurers and policymakers,informing the design of coffee WII policies that align with local preferences and can enhance the participation of coffee farmers in WII programs.展开更多
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...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.Thefindings can be used to design and improve high-density housing for targeted population groups across inner-,middle-and outer-city areas.展开更多
Evaluations connect ecosystem and human welfare to achieve restoration. There have been an increasing number of studies conducted on various ecosystem service assessments, but little research has focused on inland riv...Evaluations connect ecosystem and human welfare to achieve restoration. There have been an increasing number of studies conducted on various ecosystem service assessments, but little research has focused on inland river basins playing a critical role in development in northwestern China. The distinct differences in natural endowment, socioeconomic characteristics among the upper, middle and downstream inland river basin require heterogeneity during evaluation. The objective of this study was to verify the existence of population preference heterogeneity and examine impact factors using choice experiment surveys in the Shiyang River Basin, China. A mixed logit model using data from 714 households across the entire basin estimated mean willingness to pay and the standard deviation for ecological attributes. Ordinary least squares（OLS） was employed to estimate the effects of exogenous variables on all willingness to pay estimations. The results demonstrate that ecosystem service values are heterogeneous among people. Willingness to pay is affected by personal and regional characteristics. Government involvement will be required to seek differentiated ecosystem services values among populations and facilitate public support.展开更多
基金The Joint Project of the National Natural Science Foundation of China(72261147759)The Bill&Melinda Gates Foundation(2022YFAG-1004)。
文摘Coffee Weather Index Insurance(WII)provides smallholders with a critical buffer against climate-related losses.This study aims to investigate Chinese coffee farmers’preferences for coffee WII using a choice experiment.The results show that a majority of farmers are willing to purchase coffee WII.Attributes including the premium rate,insured amount,premium subsidy,and type of protection significantly influence farmers’preferences.Specifically,farmers favor coffee WII with revenue protection,a lower insured amount,a higher premium subsidy,and a lower premium rate.Basis risk does not significantly deter uptake.Furthermore,farmers’gender,education level,and their anticipated impact of future high temperatures on coffee production play pivotal roles in shaping WII demand.These findings offer valuable insights for insurers and policymakers,informing the design of coffee WII policies that align with local preferences and can enhance the participation of coffee farmers in WII programs.
文摘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.Thefindings can be used to design and improve high-density housing for targeted population groups across inner-,middle-and outer-city areas.
基金the National Social Science Major Funding(15ZDA052)the National Natural Science Foundation of China(71373209)
文摘Evaluations connect ecosystem and human welfare to achieve restoration. There have been an increasing number of studies conducted on various ecosystem service assessments, but little research has focused on inland river basins playing a critical role in development in northwestern China. The distinct differences in natural endowment, socioeconomic characteristics among the upper, middle and downstream inland river basin require heterogeneity during evaluation. The objective of this study was to verify the existence of population preference heterogeneity and examine impact factors using choice experiment surveys in the Shiyang River Basin, China. A mixed logit model using data from 714 households across the entire basin estimated mean willingness to pay and the standard deviation for ecological attributes. Ordinary least squares（OLS） was employed to estimate the effects of exogenous variables on all willingness to pay estimations. The results demonstrate that ecosystem service values are heterogeneous among people. Willingness to pay is affected by personal and regional characteristics. Government involvement will be required to seek differentiated ecosystem services values among populations and facilitate public support.
