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Modelling individual preferences for environmental policy drivers: Empirical evidence of Italian lifestyle changes using a latent class approach

机译:对环境政策驱动因素的个人偏好进行建模:使用潜在类别方法的意大利生活方式变化的经验证据

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Degraded air quality severely affects the health of citizens worldwide. The design of effective policies requires exploring public preferences for environmental and air quality policy instruments. Within the EC-FP7 SEFIRA project, using a choice experiment that stresses the trade-offs between attributes, this study investigates public preferences for environmental policy drivers in Italy. The main objective is to investigate the role played by selected policy drivers in determining policy preferences, complemented by elasticity and willingness to pay estimations. Preference heterogeneity and the role of socio-economic and attitudinal variables are explored with a latent class model over 2400 respondents sampled across Italy. The results allow identifying the different role played by the policy drivers across the classes. It emerged that most of the respondents (43%) are particularly sensitive to the cost components (cost sensitive respondents). The remaining respondents instead show an important sensitivity towards personal engagement in term of changes in the mobility and eating habits (lifestyle-change sensitive respondents). However, while 29% of them perceive these habits' changes as negatively impacting on the personal utility, the other 28% of respondents translate the potential changes in the habitual behaviour of driving and eating as environmental and health benefits. Based on the modelling results, potential policies are simulated reporting respondents' reaction to selected scenarios. It shows the crucial role played by reduction of premature deaths due to atmospheric pollution and measure cost. (C) 2016 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
机译:空气质量下降严重影响了全球公民的健康。有效政策的设计要求探索公众对环境和空气质量政策工具的偏好。在EC-FP7 SEFIRA项目中,通过使用强调属性之间权衡的选择实验,本研究调查了意大利环境政策驱动因素的公众偏好。主要目标是调查选定的政策推动者在确定政策偏好时所扮演的角色,并辅以弹性和支付意愿。通过在意大利抽样的超过2400名受访者的潜在类别模型,探索了偏好异质性以及社会经济和态度变量的作用。结果允许确定策略驱动程序在各个类别中扮演的不同角色。结果表明,大多数受访者(43%)对成本构成特别敏感(对成本敏感的受访者)。相反,其余的受访者在移动性和饮食习惯的变化方面表现出对个人参与的重要敏感性(对生活方式变化敏感的受访者)。然而,尽管其中29%的人认为这些习惯的改变对个人用途产生了负面影响,其他28%的受访者却将驾驶和饮食习惯行为的潜在改变转化为环境和健康益处。根据建模结果,模拟潜在策略,报告受访者对所选方案的反应。它显示了减少因大气污染造成的过早死亡和衡量成本所起的关键作用。 (C)2016作者。由Elsevier Ltd.发行。这是CC BY-NC-ND许可下的开放获取文章。

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