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Incorporating attitudes into the evaluation of preferences regarding agri‐environmental practices

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  • Petr Mariel
  • Linda Arata

Abstract

Many stated preference studies have shown that individuals’ attitudes play an important role in explaining their behaviour and helping to disentangle preference heterogeneity. When responses to attitudinal questions are introduced into discrete choice models, a suitable approach that corrects for potential endogeneity must be adopted. We use a discrete choice experiment to analyse the preferences of residents regarding the use of agri‐environmental practices in the peri‐urban area of Milan (Italy). A detailed analysis of these preferences is relevant for policymakers as farmers on the peri‐urban fringe are often asked to provide environmental services to urban‐dwellers. We apply a latent class model that we extend to include indicators of individuals’ attitudes towards the relationship between agriculture and the environment. Besides the application of the control function approach to deal with endogeneity, our main contribution is the use of a refutability test to check the exogeneity of the instruments in the agri‐environmental setting. Our results show that attitudinal indicators help to disentangle the preference heterogeneity and that the respondents’ willingness‐to‐pay distribution differs according to the indicators’ values.

Suggested Citation

  • Petr Mariel & Linda Arata, 2022. "Incorporating attitudes into the evaluation of preferences regarding agri‐environmental practices," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 430-451, June.
  • Handle: RePEc:bla:jageco:v:73:y:2022:i:2:p:430-451
    DOI: 10.1111/1477-9552.12456
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    1. Ferreira, Fernando, 2010. "You can take it with you: Proposition 13 tax benefits, residential mobility, and willingness to pay for housing amenities," Journal of Public Economics, Elsevier, vol. 94(9-10), pages 661-673, October.
    2. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    3. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    4. Luis Márquez & Víctor Cantillo & Julián Arellana, 2020. "Assessing the influence of indicators’ complexity on hybrid discrete choice model estimates," Transportation, Springer, vol. 47(1), pages 373-396, February.
    5. Train, Kenneth E & McFadden, Daniel L & Goett, Andrew A, 1987. "Consumer Attitudes and Voluntary Rate Schedules for Public Utilities," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 383-391, August.
    6. Mohammed H. Alemu & Søren B. Olsen, 2019. "Linking Consumers’ Food Choice Motives to their Preferences for Insect‐based Food Products: An Application of Integrated Choice and Latent Variable Model in an African Context," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(1), pages 241-258, February.
    7. Linda Arata & Gianni Guastella & Stefano Pareglio & Riccardo Scarpa & Paolo Sckokai, 2021. "Do city dwellers care about peri-urban land use? The case of environment-friendly agriculture around Milan," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 64(6), pages 1044-1066, May.
    8. Cristian Angelo Guevara & Moshe E. Ben-Akiva, 2012. "Change of Scale and Forecasting with the Control-Function Method in Logit Models," Transportation Science, INFORMS, vol. 46(3), pages 425-437, August.
    9. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, September.
    10. 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).
    11. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    12. Guevara, C. Angelo, 2018. "Overidentification tests for the exogeneity of instruments in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 241-253.
    13. Guevara, C. Angelo & Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs, 2020. "Correcting for endogeneity due to omitted crowding in public transport choice using the Multiple Indicator Solution (MIS) method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 472-484.
    14. Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
    15. David Wuepper & Philipp Wree & Goezde Ardali, 2019. "Does information change German consumers’ attitudes about genetically modified food?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 53-78.
    16. 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.
    17. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    18. Fitalew Agimass Taye & Suzanne Elizabeth Vedel & Jette Bredahl Jacobsen, 2018. "Accounting for environmental attitude to explain variations in willingness to pay for forest ecosystem services using the new environmental paradigm," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 7(4), pages 420-440, October.
    19. Milon, J. Walter & Scrogin, David, 2006. "Latent preferences and valuation of wetland ecosystem restoration," Ecological Economics, Elsevier, vol. 56(2), pages 162-175, February.
    20. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
    21. Gwendolyn Aldrich & Kristine Grimsrud & Jennifer Thacher & Matthew Kotchen, 2007. "Relating environmental attitudes and contingent values: how robust are methods for identifying preference heterogeneity?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(4), pages 757-775, August.
    22. Jaap Sok & Ivo A. van der Lans & Henk Hogeveen & Armin R. W. Elbers & Alfons G. J. M. Oude Lansink, 2018. "Farmers’ Preferences For Bluetongue Vaccination Scheme Attributes: An Integrated Choice and Latent Variable Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 537-560, June.
    23. Rodríguez-Ortega, Tamara & Bernués, Alberto & Alfnes, Frode, 2016. "Psychographic profile affects willingness to pay for ecosystem services provided by Mediterranean high nature value farmland," Ecological Economics, Elsevier, vol. 128(C), pages 232-245.
    24. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    25. Romy Greiner, 2016. "Factors influencing farmers’ participation in contractual biodiversity conservation: a choice experiment with northern Australian pastoralists," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(1), pages 1-21, January.
    26. Tiziana de-Magistris & Azucena Gracia & Rodolfo M. Nayga, 2013. "On the Use of Honesty Priming Tasks to Mitigate Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1136-1154.
    27. Choi, Andy S. & Fielding, Kelly S., 2013. "Environmental attitudes as WTP predictors: A case study involving endangered species," Ecological Economics, Elsevier, vol. 89(C), pages 24-32.
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