Jeon Sehyeok, Kim Seoyong, Kim Sohee
Social Science Research Institute, Ajou University, Suwon, 16499, Republic of Korea.
Department of Public Administration, Ajou University, Suwon, 16499, Republic of Korea.
Heliyon. 2024 Jul 14;10(15):e34643. doi: 10.1016/j.heliyon.2024.e34643. eCollection 2024 Aug 15.
This study aimed to explore the determinants of willingness to pay for fine particulate matter reduction. Previous studies were mostly based on simple causal models, with few or similar predictors affecting a single dimension of willingness to pay. This study adopted a multidimensional model, dividing willingness to pay into three categories: cost burden, benefit to the community and benefit to specific groups. The independent variables were resources, planned behavior, and government/policy factors, with a total of 12 variables. The analysis showed that, first, the determinant structure varied across the dimensions of willingness to pay. Second, facility resources, information, personal norms, social norms, perceived control, trust in government, policy satisfaction, policy preference, and policy knowledge had significant positive effects on willingness to pay. Third, policy satisfaction and social norms had high explanatory power for willingness to pay for cost burden; policy preference and personal norms for benefit to community; and policy knowledge, policy preference, and perceived control for benefit to specific groups.
本研究旨在探究为减少细颗粒物支付意愿的决定因素。以往的研究大多基于简单的因果模型，影响支付意愿单一维度的预测因素较少或相似。本研究采用了多维模型，将支付意愿分为三类：成本负担、对社区的益处和对特定群体的益处。自变量为资源、计划行为以及政府/政策因素，共有12个变量。分析表明，首先，支付意愿各维度的决定因素结构不同。其次，设施资源、信息、个人规范、社会规范、感知控制、对政府的信任、政策满意度、政策偏好和政策知识对支付意愿有显著的正向影响。第三，政策满意度和社会规范对成本负担支付意愿具有较高的解释力；政策偏好和个人规范对社区益处支付意愿具有较高的解释力；政策知识、政策偏好和感知控制对特定群体益处支付意愿具有较高的解释力。
