The inner-city inhabitants and foreigners' contribution commitment to improving air pollution in Hanoi, Vietnam

Science-based desirable solutions for mitigating and or reducing environmental pollution are of important priorities for many developed and developing countries. In this dataset, we concentrate on studying contribution commitments and factors influencing interviewees' willingness-to-pay to reduce air pollution by using a contingent valuation method. We employed a stratified random sampling technique with a face-to-face approach to survey 199 inhabitants and 75 foreigners who reside and travel within the inner-city of Hanoi, the capital of Vietnam - an emerging country in Southeast Asia. The dataset comprises four major groups of information including (1) perception of air pollution and its impacts, (2) preventive measures used to mitigate polluted air, (3) commitments on willingness-to-pay (WTP) for reducing air pollution alongside reasons for the yes-or-no-WTP decisions, and (4) demographic information of interviewees. The data could bring many attributes and policy implications for better economics and environmental management in the study area and or in similar places around the world.针对减缓乃至降低环境污染的科学可行解决方案，是诸多发达国家与发展中国家的重要优先事项。本数据集采用条件价值评估法（Contingent Valuation Method），聚焦于探究影响受访者为削减空气污染而支付意愿（Willingness-to-Pay, WTP）的因素及相关贡献承诺。我们采用分层随机抽样法（Stratified Random Sampling）结合面对面访谈的调研方式，共收集了东南亚新兴经济体越南首都河内中心城区内居住及出行的199名本地居民与75名外籍人士的调研数据。本数据集涵盖四大类核心信息：(1) 空气污染认知及其影响；(2) 用于缓解空气污染的防护措施；(3) 空气污染减排支付意愿承诺，以及支持或反对该支付意愿决策的具体缘由；(4) 受访者的人口统计学信息。本数据集可为研究区域乃至全球同类地区的经济与环境管理优化提供多维度参考与政策启示。