Abstract
Many wild bee species are threatened across Europe, and with them the pollination function they provide. While numerous studies have assessed the value of bees as pollinators of crops, little is known about the non-marked value of bees. Using a choice modelling experiment, we examine these non-market values in Germany by identifying citizens’ willingness to pay (WTP) for wild bee conservation initiatives in four states. Effects of distance, state and regional affiliation are scrutinised, as previous research found these to affect respondents’ choices. Random parameter logit and latent class models are used to capture preference heterogeneity. Overall, we find strong support of wild bee conservation and a clear preference for improvement relative to the status quo, particularly in natural areas and for rare or endangered species. The yearly WTP for conservation initiatives ranges from 227 to 447€ per household. Our results show distance and regional effects on WTP. Initiatives in respondents’ home states are preferred, and increasing distance to initiatives in other states result in a slightly reduced WTP. Additionally, we observe regional preferences within an eastern and a western home region. These preferences are not explainable by socio-demographic characteristics, home state or distance and probably linked to social and cultural affiliations. We conclude that for widespread support in society and effective conservation initiatives, policy proposals must address this spatial heterogeneity from distance and regional effects.
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Notes
The effect of the number of alternatives to use is yet an unresolved issue (Mariel et al. 2021), weighting aspects of incentive compatibility, cognitive burden, amount of information and incentives for heuristics. Weng et al. (2021) find problems of convergence validity comparing a status quo option with one, two or three alternatives. While we have no test of the effect here, we note that a SQ and two alternatives is today the most applied form.
Strategic bidders were defined as those respondents that stated “No matter what it takes, I like the idea of doing something for nature” and/or “Irrespective of the costs, I choose the best initiative for nature” in Q12 and always chose the highest possible bid in each of the 12 CS (see S1).
Protest bidders were defined as respondents that stated “I am against this type of survey”, “I already pay enough duties”, “I already pay enough duties, I think the farmers should pay for it” and/or “I already pay enough duties, but I would like to pay if it was through a private donation” in Q11 and chose the status quo in all 12 CS (see S1).
The dist_state variable thereby indicated not the distance to the initiatives themselves, as commonly done in distance decay studies, but the distance to the state where the initiative was located. Since the location of the initiative within the state was not specified, respondents close to state borders were not considered to experience spill over effects from their close proximity to the state.
In a latent class model, it was tested whether other socio-demographics (gender, income, education) affect the results and WTP estimates across states (see Supplementary Material S3.H). This showed no effect. Therefore the sample was defined at the level of all four states and results to be representative for the German population.
After correcting the design in the second data collection in April 2020, the attribute showed a linear increase in preference and thus scope sensitivity (see S3.E and F).
Several respondents made a statement that is attributed to Albert Einstein (though not documented) stating that if bees disappeared off the face of the Earth, man would only have four years left to live. While this is a widespread belief, research disproves this claim (Klein et al. 2018).
66% of participants in a study on nature awareness stated that they knew about wild bee species decline and ranked it as the most important group to protect in agricultural landscapes (Schell et al. 2017).
Examples of statements by respondents (NB: corrected for spelling mistakes and translated by the authors): “Politics should do it because they have enough money and still would not do it, rather pocket the money you pay.”; “The federal government should use the billions that it otherwise wastes.”; “The German state has money for that, but throws it out the window.”; “The state is in a position to cover any expenditure from the federal budget!”.
References
Alemu MH, Olsen SB (2017) Can a repeated opt-out reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products, IFRO Working Paper, No. 2017/05. Copenhagen
Bakhtiari F, Jacobsen JB, Thorsen BJ et al (2018) Disentangling distance and country effects on the value of conservation across national borders. Ecol Econ 147:11–20. https://doi.org/10.1016/j.ecolecon.2017.12.019
Bartczak A (2015) The role of social and environmental attitudes in non-market valuation. An application to the Białowiez˙a Forest. For Policy Econ 50:357–365. https://doi.org/10.1016/j.forpol.2014.09.011
Bateman IJ, Day BH, Georgiou S, Lake I (2006) The aggregation of environmental benefit values: welfare measures, distance decay and total WTP. Ecol Econ 60:450–460. https://doi.org/10.1016/j.ecolecon.2006.04.003
Bauer DM, Sue Wing I (2016) The macroeconomic cost of catastrophic pollinator declines. Ecol Econ 126:1–13. https://doi.org/10.1016/j.ecolecon.2016.01.011
Benton TG, Bryant DM, Cole L, Crick HQP (2002) Linking agricultural practice to insect and bird populations: a historical study over three decades. J Appl Ecol 39:673–687. https://doi.org/10.1046/j.1365-2664.2002.00745.x
Blackmore LM, Goulson D (2014) Evaluating the effectiveness of wildflower seed mixes for boosting floral diversity and bumblebee and hoverfly abundance in urban areas. Insect Conserv Divers 7:480–484. https://doi.org/10.1111/icad.12071
Boxall PC, Adamowicz WL, Olar M et al (2012) Analysis of the economic benefits associated with the recovery of threatened marine mammal species in the Canadian St. Lawrence Estuary. Mar Policy 36:189–197. https://doi.org/10.1016/j.marpol.2011.05.003
Breeze TD, Bailey AP, Balcombe KG, Potts SG (2014) Costing conservation: an expert appraisal of the pollinator habitat benefits of England’s entry level stewardship. Biodivers Conserv 23:1193–1214. https://doi.org/10.1007/s10531-014-0660-3
Breeze TD, Bailey AP, Potts SG, Balcombe KG (2015) A stated preference valuation of the non-market benefits of pollination services in the UK. Ecol Econ 111:76–85. https://doi.org/10.1016/j.ecolecon.2014.12.022
Brouwer R, Martin-Ortega J, Berbel J (2010) Spatial preference heterogeneity: a choice experiment. Land Econ 86:552–568. https://doi.org/10.3368/le.86.3.552
Brunner W, Walz D (1998) Selbstidentifikation der Ostdeutschen 1990–1997. In: Meulemann H (ed) Werte und nationale Identität im vereinten Deutschland. Springer, Opladen, pp 229–250
Campbell D, Scarpa R, Hutchinson WG (2008) Assessing the spatial dependence of welfare estimates obtained from discrete choice experiments. Lett Spat Resour Sci 1:117–126. https://doi.org/10.1007/s12076-008-0012-6
Campbell D, Hutchinson WG, Scarpa R (2009) Using choice experiments to explore the spatial distribution of willingness to pay for rural landscape improvements. Environ Plan A 41:97–111. https://doi.org/10.1068/a4038
Carson RT, Czajkowski M (2019) A new baseline model for estimating willingness to pay from discrete choice models. J Environ Econ Manag 95:57–61. https://doi.org/10.1016/j.jeem.2019.03.003
Chaney S (2005) Protecting nature in a divided nation: conservation in the two Germanys, 1945–1972. In: Lekan T, Zeller T (eds) Germany’s nature: cultural landscapes and environmental history. Rutgers University Press, New Brunswick, pp 207–244
Chateil C, Porcher E (2015) Landscape features are a better correlate of wild plant pollination than agricultural practices in an intensive cropping system. Agric Ecosyst Environ 201:51. https://doi.org/10.1016/j.agee.2014.12.008
ChoiceMetrics (2018) Ngene 1.2 user manual & reference guide
Concu GB (2007) Investigating distance effects on environmental values: a choice modelling approach. Aust J Agric Resour Econ 51:175–194. https://doi.org/10.1111/j.1467-8489.2007.00381.x
Czajkowski M, Budziński W, Campbell D et al (2017) Spatial heterogeneity of willingness to pay for forest management. Environ Resour Econ 68:705–727. https://doi.org/10.1007/s10640-016-0044-0
Dallimer M, Strange N (2015) Why socio-political borders and boundaries matter in conservation. Trends Ecol Evol 30:132–139. https://doi.org/10.1016/j.tree.2014.12.004
Dallimer M, Bredahl J, Lundhede TH et al (2015) Patriotic values for public goods: transnational trade-offs for biodiversity and ecosystem services? Bioscience 65:33–42. https://doi.org/10.1093/biosci/biu187
Davis D, Tisdell CA (1999) Tourist levies and willingness to pay for a whale shark experience. Tour Econ 5:161–174. https://doi.org/10.1177/135481669900500203
Fischhoff B, Quadrel MJ, Kamlet M et al (1993) Embedding effects: stimulus representation and response mode. J Risk Uncertain 6:211–234. https://doi.org/10.1007/BF01072612
Friehe T, Pannenberg M (2020) Time preferences and political regimes: evidence from reunified Germany. J Popul Econ 33:349–387. https://doi.org/10.1007/s00148-019-00728-7
Gallai N, Salles JM, Settele J, Vaissière BE (2009) Economic valuation of the vulnerability of world agriculture confronted with pollinator decline. Ecol Econ 68:810–821. https://doi.org/10.1016/j.ecolecon.2008.06.014
Glenk K, Johnston RJ, Meyerhoff J, Sagebiel J (2020) Spatial dimensions of stated preference valuation in environmental and resource economics: methods, trends and challenges. Environ Resour Econ 75:215–242. https://doi.org/10.1007/s10640-018-00311-w
Hallmann CA, Sorg M, Jongejans E et al (2017) More than 75 percent decline over 27 years in total flying insect biomass in protected areas. PLoS ONE 12:e0185809. https://doi.org/10.1371/journal.pone.0185809
Hanley N, MacMillan D, Wright RE et al (1998) Contingent valuation versus choice experiments: estimating the benefits of environmentally sensitive areas in Scotland. J Agric Econ 49:1–15. https://doi.org/10.1017/CBO9781107415324.004
Hanley ND, Schläpfer F, Spurgeon J (2003) Aggregating the benefits of environmental improvements: distance-decay functions for use and non-use values. J Environ Manag 68:297–304. https://doi.org/10.1016/S0301-4797(03)00084-7
Hanley N, Breeze TD, Ellis C, Goulson D (2015) Measuring the economic value of pollination services: principles, evidence and knowledge gaps. Ecosyst Serv 14:124–132. https://doi.org/10.1016/j.ecoser.2014.09.013
Hensher DA, Greene WH (2003) The mixed logit model: the state of practice. Transportation (Amst) 30:133–176. https://doi.org/10.1023/A:1022558715350
Hess S, Palma D (2019) Apollo version 0.1.0, user manual
Hole AR (2007) A comparison of approaches to estimating confidence intervals for willingness to pay measures. Health Econ 16:827–840. https://doi.org/10.1002/hec.1197
Holland JM, Smith BM, Storkey J et al (2015) Managing habitats on English farmland for insect pollinator conservation. Biol Conserv 182:215–222. https://doi.org/10.1016/j.biocon.2014.12.009
IPBES (2016) The assessment report of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services on pollinators, pollination and food production. In: Potts SG, Imperatriz-Fonseca VL, Ngo HT (eds) IPBES Secretariat, Bonn, Germany
Jacobsen JB, Thorsen BJ (2010) Preferences for site and environmental functions when selecting forthcoming national parks. Ecol Econ 69:1532–1544. https://doi.org/10.1016/j.ecolecon.2010.02.013
Jacobsen JB, Lundhede TH, Thorsen BJ (2012) Valuation of wildlife populations above survival. Biodivers Conserv 21:543–563. https://doi.org/10.1007/s10531-011-0200-3
Johnson AL, Fetters AM, Ashman TL (2017) Considering the unintentional consequences of pollinator gardens for urban native plants: is the road to extinction paved with good intentions? New Phytol 215:1298–1305. https://doi.org/10.1111/nph.14656
Johnston RJ, Ramachandran M (2014) Modeling spatial patchiness and hot spots in stated preference willingness to pay. Environ Resour Econ 59:363–387. https://doi.org/10.1007/s10640-013-9731-2
Johnston RJ, Boyle KJ, Adamowicz W et al (2017) Contemporary guidance for stated preference studies. J Assoc Environ Resour Econ 4:319–405. https://doi.org/10.1086/691697
Johnston RJ (2011) Characterizing spatial pattern in ecosystem service values when distance decay doesn’t apply: choice experiments and local indicators of spatial. Aaea Narea
Kasina JM, Mburu J, Kraemer M, Holm-Mueller K (2009) Economic benefit of crop pollination by bees: a case of Kakamega small-holder farming in Western Kenya. J Econ Entomol 102:467–473. https://doi.org/10.1603/029.102.0201
Kleijn D, Winfree R, Bartomeus I et al (2015) Delivery of crop pollination services is an insufficient argument for wild pollinator conservation. Nat Commun 6:1–9. https://doi.org/10.1038/ncomms8414
Klein AM, Boreux V, Fornoff F et al (2018) Relevance of wild and managed bees for human well-being. Curr Opin Insect Sci 26:82–88. https://doi.org/10.1016/j.cois.2018.02.011
Knoefel J, Sagebiel J, Yildiz Ö et al (2018) A consumer perspective on corporate governance in the energy transition: evidence from a discrete choice experiment in Germany. Energy Econ 75:440–448. https://doi.org/10.1016/j.eneco.2018.08.025
Krinsky I, Robb AL (1986) On approximating the statistical properties of elasticities. Rev Econ Stat 68(4):715–719
Kuechler M (1998) Vereint und doch getrennt? In: Meulemann H (ed) Werte und nationale Identität im vereinten Deutschland. Springer, Opladen, pp 291–299
Ladenburg J, Olsen SB (2014) Augmenting short cheap talk scripts with a repeated opt-out reminder in choice experiment surveys
Lefebvre M, Espinosa M, Gomez y Paloma S et al (2015) Agricultural landscapes as multi-scale public good and the role of the Common Agricultural Policy. J Environ Plan Manag 58:2088–2112. https://doi.org/10.1080/09640568.2014.891975
Leonhardt SD, Gallai N, Garibaldi LA et al (2013) Economic gain, stability of pollination and bee diversity decrease from southern to northern Europe. Basic Appl Ecol 14:461–471. https://doi.org/10.1016/j.baae.2013.06.003
Loomis JB (2000) Vertically summing public good demand curves: an empirical comparison of economic versus political jurisdictions. Land Econ 76:312–321. https://doi.org/10.2307/3147231
Lundhede TH, Jacobsen JB, Hanley N et al (2014) Public support for conserving bird species runs counter to climate change impacts on their distributions. PLoS ONE 9:1–8. https://doi.org/10.1371/journal.pone.0101281
Mariel P, Hoyos D, Meyerhoff J et al (2021) Environmental valuation with discrete choice experiments. Springerbriefs in economics. Springer, Berlin
Melathopoulos AP, Cutler GC, Tyedmers P (2015) Where is the value in valuing pollination ecosystem services to agriculture? Ecol Econ 109:59–70. https://doi.org/10.1016/j.ecolecon.2014.11.007
Menz MHM, Phillips RD, Winfree R et al (2011) Reconnecting plants and pollinators: challenges in the restoration of pollination mutualisms. Trends Plant Sci 16:4–12. https://doi.org/10.1016/j.tplants.2010.09.006
Meyerhoff J (2013) Do turbines in the vicinity of respondents’ residences influence choices among programmes for future wind power generation? J Choice Model 7:58–71. https://doi.org/10.1016/j.jocm.2013.04.010
Meyerhoff J, Liebe U (2009) Status quo effect in choice experiments: empirical evidence on attitudes and choice task complexity. Land Econ 85:515–528. https://doi.org/10.3368/le.85.3.515
Moilanen A, Arponen A (2011) Administrative regions in conservation: balancing local priorities with regional to global preferences in spatial planning. Biol Conserv 144:1719–1725. https://doi.org/10.1016/j.biocon.2011.03.007
Möller C (2018) Knowledge and Environment in the “Participatory Dictatorship”: Scientific Environmental Concepts and the Environmental Policy Change in the GDR. NTM Int J Hist Ethics Nat Sci Technol Med 26:367–403. https://doi.org/10.1007/s00048-018-0200-4
Mwebaze P, Marris GC, Brown M et al (2018) Measuring public perception and preferences for ecosystem services: a case study of bee pollination in the UK. Land Use Policy 71:355–362. https://doi.org/10.1016/j.landusepol.2017.11.045
Mwebaze P, Potts G, Breeze TD, Macleod A (2010) Quantifying the value of ecosystem services: a case study of honeybee pollination in the UK. In: 12th Annual BIOECON conference “From the wealth of nations to the wealth of nature: rethinking economic growth”, pp 1–25
Narjes ME, Lippert C (2016) Longan fruit farmers’ demand for policies aimed at conserving native pollinating bees in Northern Thailand. Ecosyst Serv 18:58–67. https://doi.org/10.1016/j.ecoser.2015.10.010
Nieto A, Roberts SPM, Kemp J, Rasmont P, Kuhlmann M, García Criado M, Biesmeijer JC, Bogusch P, Dathe HH, De la Rúa P, De Meulemeester T, Dehon M, Dewulf A, Ortiz-Sánchez FJ, Lhomme P, Pauly A, Potts SG, Praz C, Quaranta M, Radchenko VG, Scheuchl E, Smit J, Straka J, Terzo M, Tomozii B, Window J, Michez D (2014) European Red List of bees. Publication Office of the European Union, Luxembourg
Nogué S, Long PR, Eycott AE et al (2016) Pollination service delivery for European crops: challenges and opportunities. Ecol Econ 128:1–7. https://doi.org/10.1016/j.ecolecon.2016.03.023
Ollerton J (2017) Pollinator diversity: distribution, ecological function, and conservation. Annu Rev Ecol Evol Syst 48:353–376. https://doi.org/10.1146/annurev-ecolsys-110316-022919
Ollerton J, Winfree R, Tarrant S (2011) How many flowering plants are pollinated by animals? Oikos 120:321–326. https://doi.org/10.1111/j.1600-0706.2010.18644.x
Pascual U, Muradian R, Brander L et al (2012) The economics of valuing ecosystem services and biodiversity. Econ Ecosyst Biodivers Ecol Econ Found. https://doi.org/10.4324/9781849775489
Penn J, Hu W, Penn HJ (2019) Support for solitary bee conservation among the public versus beekeepers. Am J Agric Econ 101(5):1386–1400. https://doi.org/10.1093/ajae/aaz050
Potts SG, Biesmeijer JC, Kremen C et al (2010) Global pollinator declines: trends, impacts and drivers. Trends Ecol Evol 25:345–353. https://doi.org/10.1016/j.tree.2010.01.007
R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Rakotonarivo OS, Schaafsma M, Hockley N (2016) A systematic review of the reliability and validity of discrete choice experiments in valuing non-market environmental goods. J Environ Manag 183:98–109. https://doi.org/10.1016/j.jenvman.2016.08.032
Reilly JR, Artz DR, Biddinger D et al (2020) Crop production in the USA is frequently limited by a lack of pollinators. Proc R Soc B Biol Sci 287:20200922. https://doi.org/10.1098/rspb.2020.0922
Ressurreição A, Gibbons J, Kaiser M et al (2012) Different cultures, different values: the role of cultural variation in public’s WTP for marine species conservation. Biol Conserv 145:148–159. https://doi.org/10.1016/j.biocon.2011.10.026
Sagebiel J, Glenk K, Meyerhoff J (2017) Spatially explicit demand for afforestation. For Policy Econ 78:190–199. https://doi.org/10.1016/j.forpol.2017.01.021
Samdin Z, Abdul Aziz Y, Radam A, Yacob MR (2010) Factors influencing the willingness to pay for entrance permit: the evidence from Taman Negara National Park. J Sustain Dev 3:212. https://doi.org/10.5539/jsd.v3n3p212
Scarpa R, Thiene M (2005) Destination choice models for rock climbing in the Northeastern Alps: a latent-class approach based on intensity of preferences. Land Econ 81(3):426–444. https://doi.org/10.3368/le.81.3.426
Schell C, Erdmann K-H, Mues AW (2017) Naturbewusstsein 2015 - Wissenschaftlicher Vertiefungsbericht. Bundesamt für Naturschutz
Schulp CJE, Lautenbach S, Verburg PH (2014) Quantifying and mapping ecosystem services: demand and supply of pollination in the European Union. Ecol Indic 36:131–141. https://doi.org/10.1016/j.ecolind.2013.07.014
Schweiger C (2019) Deutschland einig vaterland? East-West cleavages in Germany thirty years after reunification. Ger Polit Soc 37:18–31. https://doi.org/10.3167/gps.2019.370303
Senapathi D, Biesmeijer JC, Breeze TD et al (2015) Pollinator conservation—the difference between managing for pollination services and preserving pollinator diversity. Curr Opin Insect Sci 12:93–101. https://doi.org/10.1016/j.cois.2015.11.002
Spash CL, Urama K, Burton R et al (2009) Motives behind willingness to pay for improving biodiversity in a water ecosystem: economics, ethics and social psychology. Ecol Econ 68:955–964. https://doi.org/10.1016/j.ecolecon.2006.09.013
Statistisches Bundesamt (Destatis) (2019) Statistisches Jahrbuch. Deutschland und Internationales 2019
Stevens T, Hoshide AK, Drummond FA (2015) Willingness to pay for native pollination of blueberries: a conjoint analysis. Int J Agric Mark 2(4):068–077
Sutherland RJ, Walsh RG (1985) Effect of distance on the preservation value of water quality. Land Econ 61:281–291
Sutter L, Albrecht M, Jeanneret P (2018) Landscape greening and local creation of wildflower strips and hedgerows promote multiple ecosystem services. J Appl Ecol 55:612–620. https://doi.org/10.1111/1365-2664.12977
Taye FA, Vedel SE, Jacobsen JB (2018) Accounting for environmental attitude to explain variations in willingness to pay for forest ecosystem services using the new environmental paradigm. J Environ Econ Policy 7:420–440. https://doi.org/10.1080/21606544.2018.1467346
Train K, Weeks M (2005) Discrete choice models in preference space and willingness-to-pay space. In: Cambridge working papers in economics
Vermunt JK, Magidson J (2021) Upgrade manual for latent GOLD basic, advanced, syntax, and choice version 6.0. Statistical Innovations Inc., Arlington
Weng W, Morrison MD, Boyle KJ et al (2021) Effects of the number of alternatives in public good discrete choice experiments. Ecol Econ 182:106904. https://doi.org/10.1016/j.ecolecon.2020.106904
Westrich P, Frommer U, Mandery K et al (2011) Rote Liste und Gesamtartenliste der Bienen (Hymenoptera, Apidae) Deutschlands. 5. Fassung. Stand Februar 2011. In: Binot-Hafke M, Balzer S, Becker N et al (eds) Naturschutz und biologische Vielfalt 70(3). Landwirtschaftsverlag, Bundesamt für Naturschutz, Münster, pp 373–416
Winfree R, Aguilar R, Vazquez D et al (2009) A meta-analysis of bees’ responses to anthropogenic disturbance. Ecology 90:2068–2076. https://doi.org/10.1890/14-0661.1
Yao RT, Scarpa R, Turner JA et al (2014) Valuing biodiversity enhancement in New Zealand’s planted forests: socioeconomic and spatial determinants of willingness-to-pay. Ecol Econ 98:90–101. https://doi.org/10.1016/j.ecolecon.2013.12.009
Acknowledgements
The authors thank the anonymous reviewers for their extensive and valuable comments on this manuscript. The authors would further like to thank Julian Sagebiel from the Swedish University of Agricultural Sciences for his support in the analysis of the survey data. They thank Alice Rogowski, Bennet Bergmann, Helena Leinweber, Jan Peters, Jean Paul Moreaux, Thomas Prossliner, as well as the focus groups participants for their valuable comments on the early version of the questionnaire. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. C.M., B.D. and C.R. thank the Danish National Research Foundation for its support of the Center for Macroecology, Evolution and Climate (Grant No. DNRF96).
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Moreaux, C., Jacobsen, J.B., Meyerhoff, J. et al. Distance and Regional Effects on the Value of Wild Bee Conservation. Environ Resource Econ 84, 37–63 (2023). https://doi.org/10.1007/s10640-022-00692-z
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DOI: https://doi.org/10.1007/s10640-022-00692-z