School of Economics and Management, Southwest University of Science and Technology, Mianyang, 621010, Sichuan Province, People's Republic of China.
School of Public Affairs, University of Science and Technology of China, Hefei, 230026, Anhui Province, People's Republic of China.
Environ Geochem Health. 2020 Mar;42(3):895-913. doi: 10.1007/s10653-019-00397-1. Epub 2019 Sep 24.
With the rapid economic growth of China, the increasingly serious environmental problems of haze pollution have become a large concern. Urban resident's PM2.5 reduction behavior contributes significantly to Chinese haze pollution control. Resident-level policy measures are beneficial for encouraging residents to engage in PM2.5 reduction behaviors. The current research aims to explore the long-term intervention effects of three types of policies (i.e., command and control policies, economic incentive policies and education-guided policies) on resident's PM2.5 reduction intention and actual behavior. Based on the agent-based modeling and simulation approach, a resident's PM2.5 reduction behavioral simulation model is developed, and data adopted from a questionnaire survey are analyzed. The simulation results show that resident's PM2.5 reduction intention is motivated by the interactions among resident agents, and it eventually stabilizes at a higher level (from 4.11 to 4.48). Moreover, the effects of the three types of policy measures on PM2.5 reduction behavior vary depending on the specific scenarios. With respect to single-policy scenarios, these policies all enhance the actual resident's PM2.5 reduction behavior over the long term. The effects of command and control policies (M = 3.42) and education-guided policies (M = 3.44) are much better than those of the economic incentive policies (M = 3.15). Regarding policy combination scenarios, a combination of economic incentive policies and education-guided policies (M = 4.15) has a remarkable promotional effect over others for encouraging residents to conduct PM2.5 reduction behaviors. Based on the results, implications and suggestions for improving current resident-level PM2.5 reduction policies and encouraging resident's PM2.5 reduction behavior are provided.
随着中国经济的快速增长，日益严重的环境问题——雾霾污染已成为一个重大关注点。城镇居民的 PM2.5 减排行为对中国雾霾污染控制具有重要意义。居民层面的政策措施有利于鼓励居民采取 PM2.5 减排行为。本研究旨在探索三种政策（即命令与控制政策、经济激励政策和教育引导政策）对居民 PM2.5 减排意愿和实际行为的长期干预效果。基于基于主体的建模和模拟方法，开发了一个居民 PM2.5 减排行为模拟模型，并对问卷调查数据进行了分析。模拟结果表明，居民的 PM2.5 减排意愿是由居民主体之间的相互作用所驱动的，最终稳定在一个较高的水平（从 4.11 上升到 4.48）。此外，三种政策措施对 PM2.5 减排行为的影响因具体情景而异。在单一政策情景下，这些政策都能长期增强实际居民的 PM2.5 减排行为。命令与控制政策（M=3.42）和教育引导政策（M=3.44）的效果明显好于经济激励政策（M=3.15）。关于政策组合情景，经济激励政策和教育引导政策的组合（M=4.15）在鼓励居民进行 PM2.5 减排行为方面比其他政策组合具有显著的促进作用。基于研究结果，为改善当前居民层面的 PM2.5 减排政策和鼓励居民的 PM2.5 减排行为提供了启示和建议。
