IDEAS home Printed from https://ideas.repec.org/p/zbw/rwirep/729.html
   My bibliography  Save this paper

The effect of financial compensation on the acceptance of power lines: Evidence from a randomized discrete choice experiment in Germany

Author

Listed:
  • Simora, Michael

Abstract

Despite general support for the transition towards renewable energies, local opposition may hamper the required power line construction. This paper evaluates a large randomized one shot binary choice experiment with about 10,000 observations to examine the effect of annual community compensations based on current legislation as well as the effect of household compensations on the willingness to accept new power line construction. Results reveal that community compensations have no bearing on the acceptance level, whereas personal compensations have a negative effect via crowding out intrinsic motivation to support the construction project or via signaling negative impacts for residents. Thus, policy makers should refrain from financial payments as an instrument to decrease local opposition.

Suggested Citation

  • Simora, Michael, 2017. "The effect of financial compensation on the acceptance of power lines: Evidence from a randomized discrete choice experiment in Germany," Ruhr Economic Papers 729, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  • Handle: RePEc:zbw:rwirep:729
    DOI: 10.4419/86788849
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/173206/1/1011194910.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4419/86788849?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Groothuis, Peter A. & Groothuis, Jana D. & Whitehead, John C., 2008. "Green vs. green: Measuring the compensation required to site electrical generation windmills in a viewshed," Energy Policy, Elsevier, vol. 36(4), pages 1545-1550, April.
    2. Rode, Julian & Gómez-Baggethun, Erik & Krause, Torsten, 2015. "Motivation crowding by economic incentives in conservation policy: A review of the empirical evidence," Ecological Economics, Elsevier, vol. 117(C), pages 270-282.
    3. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    4. Kerr, John & Vardhan, Mamta & Jindal, Rohit, 2012. "Prosocial behavior and incentives: Evidence from field experiments in rural Mexico and Tanzania," Ecological Economics, Elsevier, vol. 73(C), pages 220-227.
    5. Taylor, Laura O. & McKee, Michael & Laury, Susan K. & Cummings, Ronald G., 2001. "Induced-value tests of the referendum voting mechanism," Economics Letters, Elsevier, vol. 71(1), pages 61-65, April.
    6. Whitehead, John C. & Cherry, Todd L., 2007. "Willingness to pay for a Green Energy program: A comparison of ex-ante and ex-post hypothetical bias mitigation approaches," Resource and Energy Economics, Elsevier, vol. 29(4), pages 247-261, November.
    7. Smith, V. Kerry & Mansfield, Carol, 1998. "Buying Time: Real and Hypothetical Offers," Journal of Environmental Economics and Management, Elsevier, vol. 36(3), pages 209-224, November.
    8. Andrew D. Krueger & George R. Parsons & Jeremy Firestone, 2011. "Valuing the Visual Disamenity of Offshore Wind Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline," Working Papers 11-04, University of Delaware, Department of Economics.
    9. Nape, Steven & Frykblom, Peter & Harrison, Glenn W. & Lesley, James C., 2003. "Hypothetical bias and willingness to accept," Economics Letters, Elsevier, vol. 78(3), pages 423-430, March.
    10. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    11. Upham, Paul & García Pérez, Jesús, 2015. "A cognitive mapping approach to understanding public objection to energy infrastructure: The case of wind power in Galicia, Spain," Renewable Energy, Elsevier, vol. 83(C), pages 587-596.
    12. Andor, Mark A. & Frondel, Manuel & Schmidt, Christoph M. & Simora, Michael & Sommer, Stephan, 2015. "Klima- und Energiepolitik in Deutschland: Dissens und Konsens," RWI Materialien 91, RWI - Leibniz-Institut für Wirtschaftsforschung.
    13. Karen Blumenschein & Glenn C. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, January.
    14. Jed Cohen, Klaus Moeltner, Johannes Reichl and Michael Schmidthaler, 2016. "An Empirical Analysis of Local Opposition to New Transmission Lines Across the EU-27," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    15. Richard T. Carson & Theodore Groves & John A. List, 2014. "Consequentiality: A Theoretical and Experimental Exploration of a Single Binary Choice," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 171-207.
    16. Carl Mellström & Magnus Johannesson, 2008. "Crowding Out in Blood Donation: Was Titmuss Right?," Journal of the European Economic Association, MIT Press, vol. 6(4), pages 845-863, June.
    17. Uri Gneezy & Aldo Rustichini, 2000. "Pay Enough or Don't Pay at All," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 791-810.
    18. Wenche Tobiasson & Christina Beestermöller & Tooraj Jamasb, 2016. "Public engagement in electricity network development: the case of the Beauly–Denny project in Scotland," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 43(2), pages 105-126, June.
    19. Andrew D. Krueger & George R. Parsons & Jeremy Firestone, 2011. "Valuing the Visual Disamenity of Offshore Wind Power Projects at Varying Distances from the Shore: An Application on the Delaware Shoreline," Land Economics, University of Wisconsin Press, vol. 87(2), pages 268-283.
    20. Bruno S. Frey & Reto Jegen, 2001. "Motivation Crowding Theory," Journal of Economic Surveys, Wiley Blackwell, vol. 15(5), pages 589-611, December.
    21. Champ, Patricia A. & Bishop, Richard C. & Brown, Thomas C. & McCollum, Daniel W., 1997. "Using Donation Mechanisms to Value Nonuse Benefits from Public Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 151-162, June.
    22. Jack, B. Kelsey, 2009. "Upstream-downstream transactions and watershed externalities: Experimental evidence from Kenya," Ecological Economics, Elsevier, vol. 68(6), pages 1813-1824, April.
    23. 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.
    24. Ladenburg, Jacob & Dubgaard, Alex, 2007. "Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark," Energy Policy, Elsevier, vol. 35(8), pages 4059-4071, August.
    25. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    26. Jobert, Arthur & Laborgne, Pia & Mimler, Solveig, 2007. "Local acceptance of wind energy: Factors of success identified in French and German case studies," Energy Policy, Elsevier, vol. 35(5), pages 2751-2760, May.
    27. Frey, Bruno S & Oberholzer-Gee, Felix, 1997. "The Cost of Price Incentives: An Empirical Analysis of Motivation Crowding-Out," American Economic Review, American Economic Association, vol. 87(4), pages 746-755, September.
    28. Vossler, Christian A. & Kerkvliet, Joe, 2003. "A criterion validity test of the contingent valuation method: comparing hypothetical and actual voting behavior for a public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 631-649, May.
    29. Eltham, Douglas C. & Harrison, Gareth P. & Allen, Simon J., 2008. "Change in public attitudes towards a Cornish wind farm: Implications for planning," Energy Policy, Elsevier, vol. 36(1), pages 23-33, January.
    30. Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
    31. Greene, William, 2010. "Testing hypotheses about interaction terms in nonlinear models," Economics Letters, Elsevier, vol. 107(2), pages 291-296, May.
    32. Ciupuliga, A.R. & Cuppen, E., 2013. "The role of dialogue in fostering acceptance of transmission lines: the case of a France–Spain interconnection project," Energy Policy, Elsevier, vol. 60(C), pages 224-233.
    33. Karen Blumenschein & Magnus Johannesson & Glenn C. Blomquist & Bengt Liljas & Richard M. O’Conor, 1998. "Experimental Results on Expressed Certainty and Hypothetical Bias in Contingent Valuation," Southern Economic Journal, John Wiley & Sons, vol. 65(1), pages 169-177, July.
    34. Baxter, Jamie & Morzaria, Rakhee & Hirsch, Rachel, 2013. "A case-control study of support/opposition to wind turbines: Perceptions of health risk, economic benefits, and community conflict," Energy Policy, Elsevier, vol. 61(C), pages 931-943.
    35. Krohn, Søren & Damborg, Steffen, 1999. "On public attitudes towards wind power," Renewable Energy, Elsevier, vol. 16(1), pages 954-960.
    36. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    37. Andor, Mark, 2015. "Klima- und Energiepolitik in Deutschland," RWI Impact Notes 123301, RWI - Leibniz-Institut für Wirtschaftsforschung.
    38. Samuel Bowles & Sandra Polania-Reyes, 2012. "Economic Incentives and Social Preferences: Substitutes or Complements?," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 368-425, June.
    39. Matthew Cotton & Patrick Devine-Wright, 2013. "Putting pylons into place: a UK case study of public perspectives on the impacts of high voltage overhead transmission lines," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(8), pages 1225-1245, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simora, Michael & Frondel, Manuel & Vance, Colin, 2020. "Do financial incentives increase the acceptance of power lines? Evidence from Germany," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    2. Simora, Michael & Frondel, Manuel & Vance, Colin, 2018. "Does financial compensation increase the acceptance of power lines? Evidence from Germany," Ruhr Economic Papers 742, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. 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.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    5. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    6. Rode, Julian & Gómez-Baggethun, Erik & Krause, Torsten, 2015. "Motivation crowding by economic incentives in conservation policy: A review of the empirical evidence," Ecological Economics, Elsevier, vol. 117(C), pages 270-282.
    7. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    8. John K. Horowitz & Kenneth E. McConnell & James J. Murphy, 2013. "Behavioral foundations of environmental economics and valuation," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 4, pages 115-156, Edward Elgar Publishing.
    9. Loomis, John B., 2014. "2013 WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-13, April.
    10. Pengfei Liu & Xiaohui Tian, 2021. "Downward Hypothetical Bias in the Willingness to Accept Measure for Private Goods: Evidence from a Field Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1679-1699, October.
    11. Vossler, Christian A. & Watson, Sharon B., 2013. "Understanding the consequences of consequentiality: Testing the validity of stated preferences in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 137-147.
    12. Richard C. Bishop & Kevin J. Boyle, 2019. "Reliability and Validity in Nonmarket Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 559-582, February.
    13. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    14. Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
    15. Kanya, Lucy & Saghera, Sabina & Lewin, Alex & Fox-Rushby, Julia, 2019. "The criterion validity of willingness to pay methods: a systematic review and meta-analysis of the evidence," LSE Research Online Documents on Economics 100741, London School of Economics and Political Science, LSE Library.
    16. Atozou, Baoubadi & Tamini, Lota D. & Bergeronm, Stephane & Doyon, Maurice, 2020. "Factors Explaining the Hypothetical Bias: How to Improve Models for Meta-Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.
    17. Jie He & Jérôme Dupras & Thomas G. Poder, 2018. "Payment and Provision Consequentiality in Voluntary Contribution Mechanism: Single or Double “Knife-Edge” Evidence?," Cahiers de recherche 18-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    18. Ana Bobinac, 2019. "Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 75-82, February.
    19. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    20. De Pril, Julie & Godfroid, Cécile, 2020. "Avoiding the crowding-out of prosocial motivation in microfinance," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 108-117.

    More about this item

    Keywords

    not-in-my-backyard; compensation payment; willingness to accept; motivation crowding out;
    All these keywords.

    JEL classification:

    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:rwirep:729. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/rwiesde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.