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Could a mix of short- and long-term policies be the solution to tackle marine litter? Insights from a choice experiment in England and Ireland

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  • Grilli, Gaetano
  • Andrews, Barnaby
  • Ferrini, Silvia
  • Luisetti, Tiziana

Abstract

Marine litter is a problem impacting the coasts and seas of the whole world. Whilst an increasing number of studies investigate the effects of marine litter on public welfare, most of the research to date considers it as a component of coastal environmental quality. This study specifically examines the preferences and willingness to pay of English and Irish respondents towards the removal and prevention of marine litter, and the trade-off between different short-term (e.g., beach clean-up) and long-term (e.g., ban on single use plastic) policy actions. An online survey, including a choice experiment and behavioural questions, was used to quantify the welfare impacts of marine litter on the provision of recreation and cultural ecosystem services. We found that respondents are generally inclined to the implementation of a policy mix, with propensity for immediate action. Our results confirm the loss of societal benefits due to the presence of marine litter on beaches. The estimated marginal willingness to pay can be used to inform the design and assess costs and benefits of new local, national or supra-national mixed policies directed at reducing litter in the coastal and marine environment.

Suggested Citation

  • Grilli, Gaetano & Andrews, Barnaby & Ferrini, Silvia & Luisetti, Tiziana, 2022. "Could a mix of short- and long-term policies be the solution to tackle marine litter? Insights from a choice experiment in England and Ireland," Ecological Economics, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:ecolec:v:201:y:2022:i:c:s0921800922002257
    DOI: 10.1016/j.ecolecon.2022.107563
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    as
    1. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    2. Abate, Tenaw G. & Börger, Tobias & Aanesen, Margrethe & Falk-Andersson, Jannike & Wyles, Kayleigh J. & Beaumont, Nicola, 2020. "Valuation of marine plastic pollution in the European Arctic: Applying an integrated choice and latent variable model to contingent valuation," Ecological Economics, Elsevier, vol. 169(C).
    3. Hynes, Stephen & Tinch, Dugald & Hanley, Nick, 2013. "Valuing improvements to coastal waters using choice experiments: An application to revisions of the EU Bathing Waters Directive," Marine Policy, Elsevier, vol. 40(C), pages 137-144.
    4. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    5. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    6. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    7. Beharry-Borg, Nesha & Scarpa, Riccardo, 2010. "Valuing quality changes in Caribbean coastal waters for heterogeneous beach visitors," Ecological Economics, Elsevier, vol. 69(5), pages 1124-1139, March.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. V. Smith & Xiaolong Zhang & Raymond Palmquist, 1997. "Marine Debris, Beach Quality, and Non-Market Values," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 10(3), pages 223-247, October.
    10. Joshua K Abbott & U Rashid Sumaila, 2019. "Reducing Marine Plastic Pollution: Policy Insights from Economics," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(2), pages 327-336.
    11. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    12. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    13. Sabine Pahl & Kayleigh J. Wyles & Richard C. Thompson, 2017. "Channelling passion for the ocean towards plastic pollution," Nature Human Behaviour, Nature, vol. 1(10), pages 697-699, October.
    14. Søren Olsen, 2009. "Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 591-610, December.
    15. Daniele Pacifico & Hong il Yoo, 2013. "lclogit: A Stata command for fitting latent-class conditional logit models via the expectation-maximization algorithm," Stata Journal, StataCorp LP, vol. 13(3), pages 625-639, September.
    16. Lindhjem, Henrik & Navrud, Ståle, 2011. "Are Internet surveys an alternative to face-to-face interviews in contingent valuation?," Ecological Economics, Elsevier, vol. 70(9), pages 1628-1637, July.
    17. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    18. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    19. Bethanie Carney Almroth & Håkan Eggert, 2019. "Marine Plastic Pollution: Sources, Impacts, and Policy Issues," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(2), pages 317-326.
    20. Sabine Pahl & Stephen Sheppard & Christine Boomsma & Christopher Groves, 2014. "Perceptions of time in relation to climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 5(3), pages 375-388, May.
    21. Jürgen Meyerhoff & Malte Oehlmann & Priska Weller, 2015. "The Influence of Design Dimensions on Stated Choices in an Environmental Context," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(3), pages 385-407, July.
    22. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    23. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    24. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
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