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

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  • Valeri, Eva
  • Gatta, Valerio
  • Teobaldelli, Désirée
  • Polidori, Paolo
  • Barratt, Benjamin
  • Fuzzi, Sandro
  • Kazepov, Yuri
  • Sergi, Vittorio
  • Williams, Martin
  • Maione, Michela

Abstract

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.

Suggested Citation

  • Valeri, Eva & Gatta, Valerio & Teobaldelli, Désirée & Polidori, Paolo & Barratt, Benjamin & Fuzzi, Sandro & Kazepov, Yuri & Sergi, Vittorio & Williams, Martin & Maione, Michela, 2016. "Modelling individual preferences for environmental policy drivers: Empirical evidence of Italian lifestyle changes using a latent class approach," Environmental Science & Policy, Elsevier, vol. 65(C), pages 65-74.
    • Handle: RePEc:eee:enscpo:v:65:y:2016:i:c:p:65-74
    DOI: 10.1016/j.envsci.2016.05.019
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    Cited by:

    1. Karst Geurs & Cathy Macharis, 2019. "The future of European communication and transportation research: a research agenda," REGION, European Regional Science Association, vol. 6, pages 1-21.
    2. Simpson, Jesse R. & Mishra, Sabyasachee & Talebian, Ahmadreza & Golias, Mihalis M., 2019. "An estimation of the future adoption rate of autonomous trucks by freight organizations," Research in Transportation Economics, Elsevier, vol. 76(C).
    3. Mariel, Petr & Khan, Mohammad Asif & Meyerhoff, Jürgen, 2022. "Valuing individuals’ preferences for air quality improvement: Evidence from a discrete choice experiment in South Delhi," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 432-447.
    4. Gatta, Valerio & Marcucci, Edoardo & Delle Site, Paolo & Le Pira, Michela & Carrocci, Céline Sacha, 2019. "Planning with stakeholders: Analysing alternative off-hour delivery solutions via an interactive multi-criteria approach," Research in Transportation Economics, Elsevier, vol. 73(C), pages 53-62.
    5. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    6. Priscila Pereira Suzart Carvalho & Ricardo Araújo Kalid & Jorge Laureano Moya Rodríguez & Sandro Breval Santiago, 2019. "Interactions among stakeholders in the processes of city logistics: a systematic review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 567-607, August.
    7. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    8. Valerio Gatta & Edoardo Marcucci & Marialisa Nigro & Sergio Maria Patella & Simone Serafini, 2018. "Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    9. Laurent Ott & Mehdi Farsi & Sylvain Weber, 2021. "Beyond political divides: analyzing public opinion on carbon taxation in Switzerland," Chapters, in: Axel Franzen & Sebastian Mader (ed.), Research Handbook on Environmental Sociology, chapter 17, pages 313-339, Edward Elgar Publishing.
    10. Selvakkumaran, Sujeetha & Ahlgren, Erik O., 2019. "Determining the factors of household energy transitions: A multi-domain study," Technology in Society, Elsevier, vol. 57(C), pages 54-75.
    11. Chen, Wendy Y. & Hua, Junyi, 2017. "Heterogeneity in resident perceptions of a bio-cultural heritage in Hong Kong: A latent class factor analysis," Ecosystem Services, Elsevier, vol. 24(C), pages 170-179.
    12. Diriye, Abdishakur W. & Jama, Osman M. & Diriye, Jama Warsame & Abdi, Abdulhakim M., 2022. "Public preference for sustainable land use policies – Empirical results from multinomial logit model analysis," Land Use Policy, Elsevier, vol. 114(C).
    13. Langbroek, Joram H.M. & Cebecauer, Matej & Malmsten, Jon & Franklin, Joel P. & Susilo, Yusak O. & Georén, Peter, 2019. "Electric vehicle rental and electric vehicle adoption," Research in Transportation Economics, Elsevier, vol. 73(C), pages 72-82.
    14. León, Carmelo J. & Hernández-Alemán, Anastasia & Fernández-Hernández, Carlos & Araña, Jorge E., 2023. "Are rural residents willing to trade-off higher noise for lower air pollution? Evidence from revealed preferences," Ecological Economics, Elsevier, vol. 207(C).
    15. Simpson, Jesse R. & Mishra, Sabyasachee, 2021. "Developing a methodology to predict the adoption rate of Connected Autonomous Trucks in transportation organizations using peer effects," Research in Transportation Economics, Elsevier, vol. 90(C).

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