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INVESTIGATING THE IMPACT OF INFORMATION FEEDBACK ON RESIDENTS’ ENERGY-SAVING BEHAVIOR IN THE HEATING SECTOR 调查信息反馈对居民供热领域节能行为的影响
Pub Date : 2024-02-08 DOI: 10.1142/s2010007823400079
Hongguang Nie, Fengjiao Mu, Ying Fan
Global fossil energy consumption is a significant source of carbon dioxide emissions and a major cause of global climate change. Heat consumption in the residential sector is an important part of this consumption. Based on reinforcement theory, this study analyzed the influence mechanism of information feedback on the residents’ energy-saving behaviors and applied the survey data from 1248 households in three Western European countries to analyze the impact of heat consumption information feedback on four typical heat-saving behaviors of residents. Finally, it applied the probit model to measure the quantitative effect of information feedback on the heat-saving behavior. Four heat-saving behaviors were considered: “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”. The empirical results showed that heat consumption information feedback has a significant impact on residents’ heat-saving behavior. After adding the controlling variables, such as demographic variables, willingness to pay for greenness, environmental concern and environmental belief, the estimated results changed slightly, but the estimates of the study are still significant. According to the estimates, residents who can obtain the heat consumption information feedback timely were 9.3%, 5.2%, 5.9% and 4.3% more likely than residents who can’t obtain the heat consumption information feedback timely to adopt the heat-saving behaviors of “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”.
全球化石能源消耗是二氧化碳排放的重要来源,也是全球气候变化的主要原因。居民热能消费是其中的重要组成部分。本研究以强化理论为基础,分析了信息反馈对居民节能行为的影响机制,并应用西欧三国 1248 个家庭的调查数据,分析了热耗信息反馈对居民四种典型节热行为的影响。最后,应用 probit 模型测算了信息反馈对节能行为的定量影响。研究考虑了四种节热行为:"提高房屋隔热性能"、"将恒温器设定在 20°C 或以下"、"夜间将暖气温度调低 "和 "供暖时关闭窗户"。实证结果表明,用热信息反馈对居民的节热行为有显著影响。在加入人口统计学变量、绿色支付意愿、环境关注和环境信念等控制变量后,估计结果略有变化,但研究估计结果仍然显著。根据估计结果,能够及时获得用热信息反馈的居民比不能及时获得用热信息反馈的居民采取 "提高房屋保温隔热性能"、"将温度调节器设定在 20℃或以下"、"夜间将暖气温度调低 "和 "供暖时关闭窗户 "等节热行为的可能性分别高出 9.3%、5.2%、5.9%和 4.3%。
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Climate Change Economics
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