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Citizens' preferences for research programs on forest genetic resources: A case applied to Pinus pinaster Ait. in Spain

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  • Soliño, M.
  • Alía, R.
  • Agúndez, D.

Abstract

Research on operational programs for the conservation and improvement of forest genetic resources is associated with use and non-use values, given that such research not only generates new knowledge but also incorporates both commercial benefits and benefits related to the conservation of genetic material for reproduction. This article applies a discrete choice experiment that allows analyzing the preferences of Spanish society for operational programs for the breeding and conservation of P. pinaster. Such programs are financed mainly by public research funds, and it would be advisable to include citizens' preferences regarding programs for the conservation and improvement of forest genetic resources. The analysis quantifies the trade-offs between the various characteristics of the program, such as production improvements, biotic and abiotic risks, genetic diversity, and the biodiversity of pine forests. The results show that society is willing to pay for research in these directions, above all research on greater resistance to biotic risks. Likewise, the study shows how research on transgenic forest resources is not socially accepted, thus adding to the arguments in favor of the current prohibition in Spain on marketing this type of forest reproductive material. Finally, considering the current R&D budget and the average tax collection in Spain, the WTP seems to be biased upwards. In this sense, an analysis of individual's response time as a proxy of carelessness was performed.

Suggested Citation

  • Soliño, M. & Alía, R. & Agúndez, D., 2020. "Citizens' preferences for research programs on forest genetic resources: A case applied to Pinus pinaster Ait. in Spain," Forest Policy and Economics, Elsevier, vol. 118(C).
  • Handle: RePEc:eee:forpol:v:118:y:2020:i:c:s1389934119305714
    DOI: 10.1016/j.forpol.2020.102255
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    1. Fadong Chen & Urs Fischbacher, 2016. "Response time and click position: cheap indicators of preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 109-126, November.
    2. Mark J. Koetse, 2017. "Effects of payment vehicle non-attendance in choice experiments on value estimates and the WTA–WTP disparity," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(3), pages 225-245, July.
    3. Richard Carson & Jordan Louviere, 2011. "A Common Nomenclature for Stated Preference Elicitation Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 539-559, August.
    4. Begoña A. Farizo & John Joyce & Mario Soliño, 2014. "Dealing with Heterogeneous Preferences Using Multilevel Mixed Models," Land Economics, University of Wisconsin Press, vol. 90(1), pages 181-198.
    5. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    6. 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.
    7. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.
    8. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    9. Mariel, Petr & Meyerhoff, Jürgen, 2018. "A More Flexible Model or Simply More Effort? On the Use of Correlated Random Parameters in Applied Choice Studies," Ecological Economics, Elsevier, vol. 154(C), pages 419-429.
    10. Stenger, Anne & Harou, Patrice & Navrud, Ståle, 2009. "Valuing environmental goods and services derived from the forests," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 1-14, January.
    11. Bartkowski, Bartosz & Lienhoop, Nele & Hansjürgens, Bernd, 2015. "Capturing the complexity of biodiversity: A critical review of economic valuation studies of biological diversity," Ecological Economics, Elsevier, vol. 113(C), pages 1-14.
    12. Martínez-Jauregui, María & White, Piran C.L. & Touza, Julia & Soliño, Mario, 2019. "Untangling perceptions around indicators for biodiversity conservation and ecosystem services," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    13. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    14. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    15. Ian Krajbich & Bastiaan Oud & Ernst Fehr, 2014. "Benefits of Neuroeconomic Modeling: New Policy Interventions and Predictors of Preference," American Economic Review, American Economic Association, vol. 104(5), pages 501-506, May.
    16. Loomis, John J. & Knaus, Michael & Dziedzic, Maurício, 2019. "Integrated quantification of forest total economic value," Land Use Policy, Elsevier, vol. 84(C), pages 335-346.
    17. Nielsen, Jytte Seested, 2011. "Use of the Internet for willingness-to-pay surveys: A comparison of face-to-face and web-based interviews," Resource and Energy Economics, Elsevier, vol. 33(1), pages 119-129, January.
    18. 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.
    19. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    20. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    21. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    22. Ben-Akiva, Moshe & McFadden, Daniel & Train, Kenneth & Börsch-Supan, Axel, 2002. "Hybrid Choice Models: Progress and Challenges," Sonderforschungsbereich 504 Publications 02-29, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    23. F. Bailey Norwood & Jayson L. Lusk, 2011. "Social Desirability Bias in Real, Hypothetical, and Inferred Valuation Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 528-534.
    24. Jin, Jianjun & Wan, Xinyu & Lin, Yongsheng & Kuang, Foyuan & Ning, Jing, 2019. "Public willingness to pay for the research and development of solar energy in Beijing, China," Energy Policy, Elsevier, vol. 134(C).
    25. 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.
    26. Erlend Dancke Sandorf, 2019. "Did You Miss Something? Inattentive Respondents in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1197-1235, August.
    27. Mylene Lagarde, 2013. "Investigating Attribute Non‐Attendance And Its Consequences In Choice Experiments With Latent Class Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 554-567, May.
    28. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    29. Joan Font & Magdalena Wojcieszak & Clemente J. Navarro, 2015. "Participation, Representation and Expertise: Citizen Preferences for Political Decision-Making Processes," Political Studies, Political Studies Association, vol. 63, pages 153-172, April.
    30. Varela, Elsa & Mahieu, Pierre-Alexandre & Giergiczny, Marek & Riera, Pere & Soliño, Mario, 2014. "Testing the single opt-out reminder in choice experiments: An application to fuel break management in Spain," Journal of Forest Economics, Elsevier, vol. 20(3), pages 212-222.
    31. John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, April.
    32. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    33. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
    34. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
    35. Carolina González & Nancy Johnson & Matin Qaim, 2009. "Consumer Acceptance of Second‐Generation GM Foods: The Case of Biofortified Cassava in the North‐east of Brazil," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(3), pages 604-624, September.
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