Objective: To investigate preferences for fertility treatment from the Australian general population with the aims of calculating the willingness to pay in tax contribution for attributes (characteristics) that make up treatment and for an “ideal” fertility treatment program. We also assessed whether willingness-to-pay varies by the relationship status or sexual orientation of the patient.
Methods: A stated preference discrete choice experiment was administered to a panel of 801 individuals representative of the Australian general population. Seven attributes of fertility treatment under three broad categories were included: outcome, process, and cost. Attributes were identified through published literature, focus group discussions, expert knowledge, and a pilot study. A Bayesian fractional experimental design was used, and data analysis was performed using a generalized multinomial logit model. Further analyses included interaction terms and latent class modeling.
Results: Six of the seven attributes influenced the choice of a treatment program. Under process attributes, individuals preferred: continuity of care of clinic staff, where patients are seen by the same doctor but different nurses at each visit; “alternative” treatments being offered to all patients; and onsite clinic counseling and peer-support groups. Personalization and tailoring of the treatment journey were not important. Among outcome attributes, the improved success rate of having a baby per cycle and significant side-effects were considered important. Cost of treatment also influenced the choice of treatment program. Individual preferences for fertility treatment were not associated with patients’ relationship status or sexual orientation. Latent class modeling revealed sub-groups with distinct fertility treatment preferences.
Conclusion: This study provides important insights into the attributes that influence the preferences of fertility treatment in Australia. It also estimates socially-inclusive willingness-to-pay values in tax contributions for an “ideal” package of treatment. The results can inform economic evaluations of fertility treatment programs. 相似文献
This paper explores farmers’ willingness to adopt genetically modified (GM) oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation reveals that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non‐GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45% and 80% of the GM rent, and the deadweight loss of the monopoly would range between 15% and 30% of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non‐GM oilseed rape along the supply chain. 相似文献
[目的]明晰干旱半干旱区耕地水资源短缺的时空变化特征及驱动因素,是实现区域水资源可持续利用的首要前提,对保障区域乃至全国粮食安全和生态健康有着重要意义。[方法]文章以内蒙古为典型研究区,以水足迹理论为依据,通过构建耕地水资源短缺指数(Arable Land Water Scarcity Index,AWSI),分析2000—2018年内蒙古耕地水资源短缺指数时空格局及变化特征,并进一步借助地理探测器模型定量揭示研究区内气候、植被、地形、人口密度等11个自然和社会经济因素对耕地水资源短缺时空变化的影响差异。[结果](1)内蒙古耕地水资源短缺指数总体呈西高东低的分布特征,西部耕地缺水压力较大。2000—2018年内蒙古耕地水资源短缺指数呈增加趋势,增加区域占总面积82%以上,主要分布在东部和中部地区。(2)自然因素主要决定内蒙古耕地水资源短缺的空间格局,其影响明显大于社会经济因素,但是2000—2018年社会经济因素的影响力在呈增大趋势。(3)自然因素中以蒸发量、年均温、降水量为主的气候因子在生态探测中共有19组显著差异,占据了影响因子中的主导地位。而在社会经济因素与自然因素的交互作用下,... 相似文献