IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v45y2015icp817-829.html
   My bibliography  Save this article

Public acceptance of energy technologies: The effects of labeling, time, and heterogeneity in a discrete choice experiment

Author

Listed:
  • van Rijnsoever, Frank J.
  • van Mossel, Allard
  • Broecks, Kevin P.F.

Abstract

Public acceptance is crucial for successful implementation of energy technologies in society. However, studies that use the concept do so in diverse and often inconsistent ways. They also often limit themselves to specific technologies and do not account for the effects of labeling, time, and the heterogeneity of the general public, which may lead to a biased and incomplete understanding of public acceptance. This study first conceptualizes three forms of public acceptance: socio-political acceptance, market acceptance and community acceptance. It then relates the concept of socio-political acceptance to preference formation. Next, it uses two discrete choice experiments that were conducted in 2010 and 2012 to investigate these concerns. Our results show that public preferences for energy technologies are temporally stable, even in the face of exogenous shocks such as the Fukushima incident. Using mixed logit models, we further show that labeling has a profound influence on stated preferences. When technology labels are revealed, respondents favor renewable and natural gas technologies. When labels remain unobserved, nuclear energy and biomass take prominence. However, latent class models show that there are distinct classes of respondents, tied to specific socio-demographic characteristics that differ greatly in their sensitivity to labeling and in the temporal stability of their preferences. It follows that changes in public acceptance are not population-wide, but remain limited to specific sub-groups. We discuss the theoretical and policy implications of our findings and conclude that future studies and policy initiatives may overlook important insights if they disregard the effects of labels, time, and heterogeneity.

Suggested Citation

  • van Rijnsoever, Frank J. & van Mossel, Allard & Broecks, Kevin P.F., 2015. "Public acceptance of energy technologies: The effects of labeling, time, and heterogeneity in a discrete choice experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 817-829.
  • Handle: RePEc:eee:rensus:v:45:y:2015:i:c:p:817-829
    DOI: 10.1016/j.rser.2015.02.040
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032115001288
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2015.02.040?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Ladenburg, Jacob & Möller, Bernd, 2011. "Attitude and acceptance of offshore wind farms—The influence of travel time and wind farm attributes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4223-4235.
    3. Devetag, M Giovanna, 1999. "From Utilities to Mental Models: A Critical Survey on Decision Rules and Cognition in Consumer Choice," Industrial and Corporate Change, Oxford University Press, vol. 8(2), pages 289-351, June.
    4. Beshears, John & Choi, James J. & Laibson, David & Madrian, Brigitte C., 2008. "How are preferences revealed?," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1787-1794, August.
    5. Hessels, Laurens K. & van Lente, Harro, 2008. "Re-thinking new knowledge production: A literature review and a research agenda," Research Policy, Elsevier, vol. 37(4), pages 740-760, May.
    6. Wolsink, Maarten, 2007. "Wind power implementation: The nature of public attitudes: Equity and fairness instead of 'backyard motives'," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1188-1207, August.
    7. Payne, John W & Bettman, James R & Schkade, David A, 1999. "Measuring Constructed Preferences: Towards a Building Code," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 243-270, December.
    8. Ben-Akiva, Moshe & Morikawa, Takayuki & Shiroishi, Fumiaki, 1991. "Analysis of the reliability of preference ranking data," Journal of Business Research, Elsevier, vol. 23(3), pages 253-268, November.
    9. van Rijnsoever & Marius Meeus & Roger Donders, 2012. "The effects of economic status and recent experience on innovative behavior under environmental variability: an experimental approach," Innovation Studies Utrecht (ISU) working paper series 12-01, Utrecht University, Department of Innovation Studies, revised Jan 2012.
    10. Couture, Toby & Gagnon, Yves, 2010. "An analysis of feed-in tariff remuneration models: Implications for renewable energy investment," Energy Policy, Elsevier, vol. 38(2), pages 955-965, February.
    11. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    12. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    13. Laurens K. Hessels & Harro van Lente, 2008. "Re-thinking knowledge production: a literature review and a research agenda," Innovation Studies Utrecht (ISU) working paper series 08-03, Utrecht University, Department of Innovation Studies, revised Feb 2008.
    14. Page, Benjamin I. & Shapiro, Robert Y., 1983. "Effects of Public Opinion on Policy," American Political Science Review, Cambridge University Press, vol. 77(1), pages 175-190, March.
    15. Frank J. van Rijnsoever & Carolina Castaldi, 2011. "Extending consumer categorization based on innovativeness: Intentions and technology clusters in consumer electronics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(8), pages 1604-1613, August.
    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. Söderholm, Patrik & Ek, Kristina & Pettersson, Maria, 2007. "Wind power development in Sweden: Global policies and local obstacles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(3), pages 365-400, April.
    18. van Rijnsoever, Frank J. & Oppewal, Harmen, 2012. "Predicting early adoption of successive video player generations," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 558-569.
    19. Devine-Wright, Patrick, 2011. "Enhancing local distinctiveness fosters public acceptance of tidal energy: A UK case study," Energy Policy, Elsevier, vol. 39(1), pages 83-93, January.
    20. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    21. Visschers, Vivianne H.M. & Keller, Carmen & Siegrist, Michael, 2011. "Climate change benefits and energy supply benefits as determinants of acceptance of nuclear power stations: Investigating an explanatory model," Energy Policy, Elsevier, vol. 39(6), pages 3621-3629, June.
    22. Walker, Gordon & Devine-Wright, Patrick & Hunter, Sue & High, Helen & Evans, Bob, 2010. "Trust and community: Exploring the meanings, contexts and dynamics of community renewable energy," Energy Policy, Elsevier, vol. 38(6), pages 2655-2663, June.
    23. Bergmann, Ariel & Colombo, Sergio & Hanley, Nick, 2008. "Rural versus urban preferences for renewable energy developments," Ecological Economics, Elsevier, vol. 65(3), pages 616-625, April.
    24. Sharma, Raj Hari & Awal, Ripendra, 2013. "Hydropower development in Nepal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 684-693.
    25. van Alphen, Klaas & van Voorst tot Voorst, Quirine & Hekkert, Marko P. & Smits, Ruud E.H.M., 2007. "Societal acceptance of carbon capture and storage technologies," Energy Policy, Elsevier, vol. 35(8), pages 4368-4380, August.
    26. Tarigan, Ari K.M. & Bayer, Stian B., 2012. "Temporal change analysis of public attitude, knowledge and acceptance of hydrogen vehicles in Greater Stavanger, 2006–2009," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5535-5544.
    27. Karytsas, Spyridon & Theodoropoulou, Helen, 2014. "Public awareness and willingness to adopt ground source heat pumps for domestic heating and cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 49-57.
    28. Allen, S.R. & Hammond, G.P. & McManus, M.C., 2008. "Prospects for and barriers to domestic micro-generation: A United Kingdom perspective," Applied Energy, Elsevier, vol. 85(6), pages 528-544, June.
    29. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    30. Shin, Jungwoo & Woo, JongRoul & Huh, Sung-Yoon & Lee, Jongsu & Jeong, Gicheol, 2014. "Analyzing public preferences and increasing acceptability for the Renewable Portfolio Standard in Korea," Energy Economics, Elsevier, vol. 42(C), pages 17-26.
    31. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    32. Labay, Duncan G & Kinnear, Thomas C, 1981. "Exploring the Consumer Decision Process in the Adoption of Solar Energy Systems," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(3), pages 271-278, December.
    33. Geels, Frank W., 2004. "From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory," Research Policy, Elsevier, vol. 33(6-7), pages 897-920, September.
    34. Kwak, So-Yoon & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2010. "Valuing energy-saving measures in residential buildings: A choice experiment study," Energy Policy, Elsevier, vol. 38(1), pages 673-677, January.
    35. Beshears, John & Choi, James J. & Laibson, David & Madrian, Brigitte C., 2008. "How are preferences revealed?," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1787-1794, August.
    36. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    37. van Rijnsoever, Frank J. & Farla, Jacco C.M., 2014. "Identifying and explaining public preferences for the attributes of energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 71-82.
    38. Hensher, David A. & Shore, Nina & Train, Kenneth, 2014. "Willingness to pay for residential electricity supply quality and reliability," Applied Energy, Elsevier, vol. 115(C), pages 280-292.
    39. Slovic, Paul & Finucane, Melissa L. & Peters, Ellen & MacGregor, Donald G., 2007. "The affect heuristic," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1333-1352, March.
    40. Stewart Lockie, 2009. "Responsibility and agency within alternative food networks: assembling the “citizen consumer”," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 26(3), pages 193-201, September.
    41. Yuan, Xueliang & Zuo, Jian & Ma, Chunyuan, 2011. "Social acceptance of solar energy technologies in China--End users' perspective," Energy Policy, Elsevier, vol. 39(3), pages 1031-1036, March.
    42. Flynn, Leisa Reinecke & Goldsmith, Ronald E., 1999. "A Short, Reliable Measure of Subjective Knowledge," Journal of Business Research, Elsevier, vol. 46(1), pages 57-66, September.
    43. van Rijnsoever, Frank J. & Meeus, Marius T.H. & Donders, A. Rogier T., 2012. "The effects of economic status and recent experience on innovative behavior under environmental variability: An experimental approach," Research Policy, Elsevier, vol. 41(5), pages 833-847.
    44. Diamantopoulos, Adamantios & Schlegelmilch, Bodo B. & Sinkovics, Rudolf R. & Bohlen, Greg M., 2003. "Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation," Journal of Business Research, Elsevier, vol. 56(6), pages 465-480, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tabi, Andrea & Wüstenhagen, Rolf, 2017. "Keep it local and fish-friendly: Social acceptance of hydropower projects in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 763-773.
    2. Rakotonarivo, O. Sarobidy & Bredahl Jacobsen, Jette & Poudyal, Mahesh & Rasoamanana, Alexandra & Hockley, Neal, 2018. "Estimating welfare impacts where property rights are contested: methodological and policy implications," Land Use Policy, Elsevier, vol. 70(C), pages 71-83.
    3. Ouvrard, Benjamin & Abildtrup, Jens & Stenger, Anne, 2020. "Nudging Acceptability for Wood Ash Recycling in Forests: A Choice Experiment," Ecological Economics, Elsevier, vol. 177(C).
    4. Bao, Qifang & Sinitskaya, Ekaterina & Gomez, Kelley J. & MacDonald, Erin F. & Yang, Maria C., 2020. "A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts," Renewable Energy, Elsevier, vol. 151(C), pages 503-513.
    5. Cotterman, Turner & Small, Mitchell J. & Wilson, Stephen & Abdulla, Ahmed & Wong-Parodi, Gabrielle, 2021. "Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways," Applied Energy, Elsevier, vol. 291(C).
    6. Abdulla, A. & Vaishnav, P. & Sergi, B. & Victor, D.G., 2019. "Limits to deployment of nuclear power for decarbonization: Insights from public opinion," Energy Policy, Elsevier, vol. 129(C), pages 1339-1346.
    7. Keramitsoglou, Kiriaki M. & Mellon, Robert C. & Tsagkaraki, Maria I. & Tsagarakis, Konstantinos P., 2020. "Designing a logo for renewable energy sources with public participation: Empirical evidence from Greece," Renewable Energy, Elsevier, vol. 153(C), pages 1205-1218.
    8. Rommel, Jens & Sagebiel, Julian & Müller, Jakob R., 2016. "Quality uncertainty and the market for renewable energy: Evidence from German consumers," Renewable Energy, Elsevier, vol. 94(C), pages 106-113.
    9. Dermont, Clau & Ingold, Karin & Kammermann, Lorenz & Stadelmann-Steffen, Isabelle, 2017. "Bringing the policy making perspective in: A political science approach to social acceptance," Energy Policy, Elsevier, vol. 108(C), pages 359-368.
    10. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava, 2018. "Social acceptance of green energy determinants using principal component analysis," Energy, Elsevier, vol. 160(C), pages 1030-1046.
    11. Alexane Dubois & Simona Holzer & Georgios Xexakis & Julia Cousse & Evelina Trutnevyte, 2019. "Informed Citizen Panels on the Swiss Electricity Mix 2035: Longer-Term Evolution of Citizen Preferences and Affect in Two Cities," Energies, MDPI, vol. 12(22), pages 1-21, November.
    12. Carbajo, Ruth & Cabeza, Luisa F., 2018. "Renewable energy research and technologies through responsible research and innovation looking glass: Reflexions, theoretical approaches and contemporary discourses," Applied Energy, Elsevier, vol. 211(C), pages 792-808.
    13. Hao Yu & David M. Reiner & Hao Chen & Zhifu Mi, 2018. "A comparison of public preferences for different low-carbon energy technologies: Support for CCS, nuclear and wind energy in the United Kingdom," Working Papers EPRG 1810, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    14. Alexander Titov & György Kövér & Katalin Tóth & Géza Gelencsér & Bernadett Horváthné Kovács, 2021. "Acceptance and Potential of Renewable Energy Sources Based on Biomass in Rural Areas of Hungary," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    15. Loncar, Dragan & Milovanovic, Ivan & Rakic, Biljana & Radjenovic, Tamara, 2017. "Compound real options valuation of renewable energy projects: The case of a wind farm in Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 354-367.
    16. Feser, Daniel & Bizer, Kilian & Rudolph-Cleff, Annette & Schulze, Joachim, 2016. "Energy audits in a private firm environment: Energy efficiency consultants' cost calculation for innovative technologies in the housing sector," University of Göttingen Working Papers in Economics 275, University of Goettingen, Department of Economics.
    17. Isabelle Stadelmann-Steffen & Clau Dermont, 2018. "The unpopularity of incentive-based instruments: what improves the cost–benefit ratio?," Public Choice, Springer, vol. 175(1), pages 37-62, April.
    18. Sung-Yoon Huh & Chul-Yong Lee, 2017. "A Demand-Side Perspective on Developing a Future Electricity Generation Mix: Identifying Heterogeneity in Social Preferences," Energies, MDPI, vol. 10(8), pages 1-19, August.
    19. Diriye, Abdishakur W. & Jama, Osman M. & Diriye, Jama Warsame & Abdi, Abdulhakim M., 2022. "Public preference for sustainable land use policies – Empirical results from multinomial logit model analysis," Land Use Policy, Elsevier, vol. 114(C).
    20. Roddis, Philippa & Carver, Stephen & Dallimer, Martin & Norman, Paul & Ziv, Guy, 2018. "The role of community acceptance in planning outcomes for onshore wind and solar farms: An energy justice analysis," Applied Energy, Elsevier, vol. 226(C), pages 353-364.

    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. van Rijnsoever, Frank J. & Farla, Jacco C.M., 2014. "Identifying and explaining public preferences for the attributes of energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 71-82.
    2. Caporale, Diana & De Lucia, Caterina, 2015. "Social acceptance of on-shore wind energy in Apulia Region (Southern Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1378-1390.
    3. Frank J. Rijnsoever & Laurens K. Hessels, 2021. "How academic researchers select collaborative research projects: a choice experiment," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1917-1948, December.
    4. Langer, Katharina & Decker, Thomas & Roosen, Jutta & Menrad, Klaus, 2016. "A qualitative analysis to understand the acceptance of wind energy in Bavaria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 248-259.
    5. Perlaviciute, Goda & Steg, Linda, 2014. "Contextual and psychological factors shaping evaluations and acceptability of energy alternatives: Integrated review and research agenda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 361-381.
    6. Grashof, Katherina, 2019. "Are auctions likely to deter community wind projects? And would this be problematic?," Energy Policy, Elsevier, vol. 125(C), pages 20-32.
    7. van Rijnsoever, Frank J. & Kempkes, Sander N. & Chappin, Maryse M.H., 2017. "Seduced into collaboration: A resource-based choice experiment to explain make, buy or ally strategies of SMEs," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 284-297.
    8. Kraeusel, Jonas & Möst, Dominik, 2012. "Carbon Capture and Storage on its way to large-scale deployment: Social acceptance and willingness to pay in Germany," Energy Policy, Elsevier, vol. 49(C), pages 642-651.
    9. Elke Kellner, 2019. "Social Acceptance of a Multi-Purpose Reservoir in a Recently Deglaciated Landscape in the Swiss Alps," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    10. Janhunen, Sari & Hujala, Maija & Pätäri, Satu, 2014. "Owners of second homes, locals and their attitudes towards future rural wind farm," Energy Policy, Elsevier, vol. 73(C), pages 450-460.
    11. Meyerhoff, Jürgen & Ohl, Cornelia & Hartje, Volkmar, 2010. "Landscape externalities from onshore wind power," Energy Policy, Elsevier, vol. 38(1), pages 82-92, January.
    12. Noriko Akita & Yasuo Ohe & Shoko Araki & Makoto Yokohari & Toru Terada & Jay Bolthouse, 2020. "Managing Conflicts with Local Communities over the Introduction of Renewable Energy: The Solar-Rush Experience in Japan," Land, MDPI, vol. 9(9), pages 1-20, August.
    13. Hübner, Gundula & Leschinger, Valentin & Müller, Florian J.Y. & Pohl, Johannes, 2023. "Broadening the social acceptance of wind energy – An Integrated Acceptance Model," Energy Policy, Elsevier, vol. 173(C).
    14. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    15. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    16. Frank Rijnsoever & Leon Welle & Sjoerd Bakker, 2014. "Credibility and legitimacy in policy-driven innovation networks: resource dependencies and expectations in Dutch electric vehicle subsidies," The Journal of Technology Transfer, Springer, vol. 39(4), pages 635-661, August.
    17. Carlisle, Juliet E. & Kane, Stephanie L. & Solan, David & Bowman, Madelaine & Joe, Jeffrey C., 2015. "Public attitudes regarding large-scale solar energy development in the U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 835-847.
    18. Strazzera, Elisabetta & Mura, Marina & Contu, Davide, 2012. "Combining choice experiments with psychometric scales to assess the social acceptability of wind energy projects: A latent class approach," Energy Policy, Elsevier, vol. 48(C), pages 334-347.
    19. Ek, Kristina & Persson, Lars, 2014. "Wind farms — Where and how to place them? A choice experiment approach to measure consumer preferences for characteristics of wind farm establishments in Sweden," Ecological Economics, Elsevier, vol. 105(C), pages 193-203.
    20. Schumacher, K. & Krones, F. & McKenna, R. & Schultmann, F., 2019. "Public acceptance of renewable energies and energy autonomy: A comparative study in the French, German and Swiss Upper Rhine region," Energy Policy, Elsevier, vol. 126(C), pages 315-332.

    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:eee:rensus:v:45:y:2015:i:c:p:817-829. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.