众筹信息对癌症慈善捐赠供需平衡作用效果及其机制研究：基于信息不对称视角

随着癌症发病率递增，病患持续就医需求与有限医保资源间的矛盾日益激化。为缓解矛盾，互联网公益的崛起让大病救助慈善众筹平台孕育而生。然而，众筹平台上捐赠者和求助者间的信息不对称引发了公众质疑，也对慈善捐赠发挥“第三次分配”的重要功能提出了挑战，成为了优化大病救助慈善资源配置迫切亟待解决的难题。虽然研究指出众筹信息对慈善捐赠有显著影响作用，但众筹信息对慈善配置作用效果及其作用机制尚不明晰，对众筹信息内容和供给方式的设计都值得进一步研究。本课题拟从信息不对称视角出发，推测众筹信息能调节捐赠者主观感知到的求助需求，使其与求助患者的客观经济需求相匹配，实现慈善捐赠的供需平衡，优化资源配置。本课题拟采用机器学习、传统定量定性和行为实验等研究手段来阐明众筹信息内容和供给方式在癌症慈善众筹中对供需平衡的作用机制，成果有助于优化癌症众筹慈善资源配置，完善慈善供需平衡理论模型，并为大病众筹信息管理提供决策支持。

As the incidence of cancer increases, the contradiction between patients’ continued medical needs and limited medical insurance resources is intensifying. To alleviate the contradiction, several charitable crowdfunding platforms have come into being with the rise of online philanthropy. However, the information asymmetry between donors and patients on the crowdfunding platforms led to public doubts, and also challenged the important function of the "third distribution" of charitable donations, which became an urgent need to be solved to optimize the allocation of charitable resources in cancer aid. Although research indicates that crowdfunding information has a significant effect on charitable donations, the effects of crowdfunding information on charitable allocation and its mechanism are not clear. And it is worthy to further investigate the design of the crowdfunding information including both its content and supply method. From the perspective of information asymmetry, this project speculates that crowdfunding information can adjust the donor's subjectively perceived needs, matching it with the objective economic needs of patients to achieve the supply-demand balance in charitable giving, and consequently optimize the resource allocation. This project intends to utilize machine learning, traditional quantitative and qualitative methods, as well as behavioral experiments to clarify the effects and mechanism of crowdfunding information on supply-demand balance in cancer charitable crowdfunding campaigns. The results will help optimize the allocation of cancer crowdfunding charitable resources, extend the theoretical model of supply-demand balance of charitable giving, and provide decision support for policy formulation concerning crowdfunding information management.