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The Role of Information Sources and Providers in Shaping Green Behaviors. Evidence from Europe

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  • D'Amato, Alessio
  • Giaccherini, Matilde
  • Zoli, Mariangela

Abstract

The role of environmental information is crucial in driving individuals' environmentally relevant behaviors. The aim of this paper is to shed light on the impact of different sources of information and trust in information providers on four behaviors related to waste management and resource efficiency. In order to consider dynamic effects related to behaviors of different age groups, we adopt a pseudo-panel approach using data from three cross-sectional Eurobarometer surveys. The use of multivariate regression analysis allows us to show the existence of complementarities among “similar” behaviors. Our results suggest that the use of eco-information sources and trust in different providers significantly affect green behaviors of EU citizens towards a ‘truly’ circular economic system.

Suggested Citation

  • D'Amato, Alessio & Giaccherini, Matilde & Zoli, Mariangela, 2019. "The Role of Information Sources and Providers in Shaping Green Behaviors. Evidence from Europe," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    • Handle: RePEc:eee:ecolec:v:164:y:2019:i:c:34
    DOI: 10.1016/j.ecolecon.2019.04.004
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    as
    1. Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
    2. Misato Sato & Gregor Singer & Damien Dussaux & Stefania Lovo, 2015. "International and sectoral variation in energy prices 1995-2011: how does it relate to emissions policy stringency?," GRI Working Papers 187, Grantham Research Institute on Climate Change and the Environment.
    3. Tonn, Bruce & Eisenberg, Joel, 2007. "The aging US population and residential energy demand," Energy Policy, Elsevier, vol. 35(1), pages 743-745, January.
    4. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    5. Cecere, Grazia & Mancinelli, Susanna & Mazzanti, Massimiliano, 2014. "Waste prevention and social preferences: the role of intrinsic and extrinsic motivations," Ecological Economics, Elsevier, vol. 107(C), pages 163-176.
    6. Horbach, Jens & Rammer, Christian & Rennings, Klaus, 2012. "Determinants of eco-innovations by type of environmental impact — The role of regulatory push/pull, technology push and market pull," Ecological Economics, Elsevier, vol. 78(C), pages 112-122.
    7. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    8. Arslan, Aslihan & Belotti, Federico & Lipper, Leslie, 2017. "Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania," Food Policy, Elsevier, vol. 69(C), pages 68-81.
    9. Hamza, Neveen & Gilroy, Rose, 2011. "The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption," Energy Policy, Elsevier, vol. 39(2), pages 782-789, February.
    10. Dan M. Kahan & Hank Jenkins-Smith & Donald Braman, 2011. "Cultural cognition of scientific consensus," Journal of Risk Research, Taylor & Francis Journals, vol. 14(2), pages 147-174, February.
    11. Claudia Ghisetti & Susanna Mancinelli & Massimiliano Mazzanti & Mariangela Zoli, 2017. "Financial barriers and environmental innovations: evidence from EU manufacturing firms," Climate Policy, Taylor & Francis Journals, vol. 17(0), pages 131-147, June.
    12. Michael Siegrist & George Cvetkovich, 2000. "Perception of Hazards: The Role of Social Trust and Knowledge," Risk Analysis, John Wiley & Sons, vol. 20(5), pages 713-720, October.
    13. Torgler, Benno & Garcia-Valinas, Maria A., 2007. "The determinants of individuals' attitudes towards preventing environmental damage," Ecological Economics, Elsevier, vol. 63(2-3), pages 536-552, August.
    14. Lisette Ibanez & Gilles Grolleau, 2008. "Can Ecolabeling Schemes Preserve the Environment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(2), pages 233-249, June.
    15. D'Amato, Alessio & Mancinelli, Susanna & Zoli, Mariangela, 2016. "Complementarity vs substitutability in waste management behaviors," Ecological Economics, Elsevier, vol. 123(C), pages 84-94.
    16. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    17. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    18. Hilary Nixon & Jean-Daniel Saphores, 2009. "Information and the decision to recycle: results from a survey of US households," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 52(2), pages 257-277.
    19. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    21. Robert Lempert & Michael Schlesinger & Steven Bankes & Natalia Andronova, 2000. "The Impacts of Climate Variability on Near-Term Policy Choices and the Value of Information," Climatic Change, Springer, vol. 45(1), pages 129-161, April.
    22. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    23. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    24. Yu-Shan Chen, 2010. "The Drivers of Green Brand Equity: Green Brand Image, Green Satisfaction, and Green Trust," Journal of Business Ethics, Springer, vol. 93(2), pages 307-319, May.
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    Cited by:

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    2. Sanaz Saghati Jalali & Haliyana Binti Khalid, 2021. "The Influence of Instagram Influencers’ Activity on Green Consumption Behavior," Business Management and Strategy, Macrothink Institute, vol. 12(1), pages 78-90, June.
    3. Baiardi, Donatella & Morana, Claudio, 2021. "Climate change awareness: Empirical evidence for the European Union," Energy Economics, Elsevier, vol. 96(C).
    4. Qian, Xianhang & Qiu, Shanyun & Yang, Xue, 2024. "Extreme weather exposure and corporate carbon emissions management: Evidence from forty countries," Journal of Multinational Financial Management, Elsevier, vol. 75(C).
    5. Sébastien Marchand & Damien Cubizol & Elda Nasho Ah-Pine & Huanxiu Guo, 2023. "Policy change, mass media and air quality in China: new paths to face air pollution?," Working Papers hal-03448375, HAL.
    6. Donatella Baiardi, 2023. "What do you think about climate change?," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1255-1313, September.
    7. Donatella Baiardi, 2021. "What do you think about climate change?," Working Paper series 21-16, Rimini Centre for Economic Analysis.
    8. Donatella Baiardi, 2021. "What do you think about climate change?," Working Papers 477, University of Milano-Bicocca, Department of Economics, revised Aug 2021.
    9. Gorton, Matthew & Tocco, Barbara & Yeh, Ching-Hua & Hartmann, Monika, 2021. "What determines consumers' use of eco-labels? Taking a close look at label trust," Ecological Economics, Elsevier, vol. 189(C).
    10. Leibao Zhang & Qiuxian Hu & Shuai Zhang & Wenyu Zhang, 2020. "Understanding Chinese Residents’ Waste Classification from a Perspective of Intention–Behavior Gap," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    11. Hongyun Zheng & Wanglin Ma, 2023. "Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator," Electronic Commerce Research, Springer, vol. 23(2), pages 633-658, June.
    12. Yuan Ma & Changshan Liu, 2022. "The Impact of Online Environmental Platform Services on Users’ Green Consumption Behaviors," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    13. Bowen Wang & Desheng Hu & Diandian Hao & Meng Li & Yanan Wang, 2021. "Influence of Government Information on Farmers’ Participation in Rural Residential Environment Governance: Mediating Effect Analysis Based on Moderation," IJERPH, MDPI, vol. 18(23), pages 1-15, November.

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    More about this item

    Keywords

    Pro-environmental behavior; Pseudo-panel; Multivariate analysis; Circular economy;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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