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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal


Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email:

Exploring Residents’ Willingness to Pay for Renewable Energy Supply: Evidences from an Italian Case Study

Journal of Environmental Accounting and Management 4(2) (2016) 105--113 | DOI:10.5890/JEAM.2016.06.002

Gianluca Grilli$^{1}$,$^{2}$, Jessica Balest$^{1}$,$^{3}$, Giulia Garegnani$^{1}$, Alessandro Paletto$^{4}$

$^{1}$ Institute for Renewable Energy, Eurac Research, Bolzano (Italy)

$^{2}$ Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento (Italy)

$^{3}$ Department of Land, Environment, Agriculture and Forestry, University of Padua, Padua (Italy)

$^{4}$ Council for Agricultural Research and Economics, Forest Monitoring and Planning Research Unit, Trento (Italy)

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The present study offers a contingent valuation application to explore residents ´ willingness to pay for renewable energy, in a case study in the Italian Alps. Data originated from onsite personal interviews and were analyzed with a Tobit model. Results show that respondents are willing to pay, on average, 5.1€ per month for a 100% of renewable energy supply, corresponding approximately to a 13% increase in the energy bill. Among the factors positively affecting the answers, the personal knowledge about renewable energy plays a key role in predicting WTP, as well as income and the personal perception of future possible development of hydropower plants. On the other hand, age and number of household components negatively affect WTP.


This study was conducted in the frame of the project “Balancing Alpine Energy and Nature” (, which is carried out within the Alpine Space Programme, and is co-financed by the European Regional Development Fund. The author would like to thank Giorgio Curetti and the Alpi Marittime Natural Park for the help in the questionnaire administration.


  1. [1]  Aldy, J.E., Kotchen, M.J. and Leiserowitz, A.A. (2012), Willingness to Pay and Political Support for a US National Clean Energy Standard, Nature Climate Change 2(8): 596-599.
  2. [2]  Angrist, J.D. and Pischke, J.S. (2008), Mostly Harmless Econometrics: An Empiricist’s Companion. (I). Princeton University Press.
  3. [3]  Arrow, K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R. and Schuman, H. (1993), Report of the NOAA Panel on Contingent Valuation. (January 15, 2013).
  4. [4]  Bandara, R. and Tisdell, C. (2004), The Net Benefit of Saving the Asian Elephant : A Policy and Contingent Valuation Study, Ecological Economics 48: 93-107.
  5. [5]  Blomquist, G.C. and Whitehead, J.C. (1998), Resource Quality Information and Validity of Willingness to Pay in Contingent Valuation, Resource and Energy Economics 20(2): 179-196.
  6. [6]  Borchers, A.M., Duke, J.M. and Parsons, G.R. (2007), Does Willingness to Pay for Green Energy Differ by Source? Energy Policy 35(6): 3327-3334.
  7. [7]  Burgess, P.J., Rivas Casado, M., Gavu, J., Mead, A., Cockerill, T., Lord, R. and Howard, D.C. (2012), A Framework for Reviewing the Trade-Offs Between, Renewable Energy, Food, Feed and Wood Production at a Local Level, Renewable and Sustainable Energy Reviews 16(1): 129-142.
  8. [8]  Carlsson, F., Frykblom, P. and Lagerkvost, C.J. (2004), Statistics Using Cheap-Talk as a Test of Validity in Choice Experiments. Statistics.
  9. [9]  Chiabai, A. (2001), Costruzione E Progettazione Del Questionario Nella Valutazione Contingente. Wp 74: 1-33. one+contingente#2 (April 12, 2013).
  10. [10]  del Río, P. and Burguillo, M. (2009), An Empirical Analysis of the Impact of Renewable Energy Deployment on Local Sustainability, Renewable and Sustainable Energy Reviews 13(6-7): 1314-1325.
  11. [11]  Diakoulaki, D., and Karangelis, F. (2007), Multi-Criteria Decision Analysis and Cost–benefit Analysis of Alternative Scenarios for the Power Generation Sector in Greece, Renewable and Sustainable Energy Reviews 11(4): 716-727.
  12. [12]  Ezebilo, E.E. (2011). Preferences and Willingness to Pay for close to Home Nature for Outdoor Recreation in Sweden, Journal of Environmental Planning and Management 58(2): 1-14.
  13. [13]  Ezebilo, E.E. (2011), Economic Valuation of Private Sector Waste Management Services, Journal of Sustainable Development 4(4): 38-46.
  14. [14]  Farrar, D.E, and Glauber, R.R. (1967), Multicollinearity in Regression Analysis: The Problem Revisited, The Review of Economics and Statistics 49(1): 92-107.
  15. [15]  Fox, S. and Hudson, D. (2003), Effects of Cheap Talk on Consumer Willingness to Pay for Golden Rice, American Journal of Agricultural Economics 85(November): 840-856.
  16. [16]  Garegnani, G., Geri, F., Zambelli, P., Grilli, G., Sacchelli, S., Paletto, A., Guretti, G., Ciolli, M. and Vettorato, D. (2015), A New Open Source DSS for Assessment and Planning of Renewable Energy : R . Green. In FOSS4G Europe Como 2015, Como, 39-49.
  17. [17]  Gios, G. and Notaro, S. (2001), La Valutazione Economica Dei Beni Ambientali: Introduzione Al Metodo Della Valutazione Contingente. I. Padova: CEDAM.
  18. [18]  Gracia, A., Barreiro-Hurlé, J. and Pérez, L.P. (2012), Can Renewable Energy Be Financed with Higher Electricity Prices? Evidence from a Spanish Region, Energy Policy 50: 784-794.
  19. [19]  Greene, W.H. (2003), Econometric Analysis. &pgis=1 (June 4, 2015).
  20. [20]  Grilli, G., Balest, J., Meo, I. De, Garegnani, G., and Paletto, A. (2016), “Experts’ Opinions on the Effects of Renewable Energy Development on Ecosystem Services in the Alpine Region, Journal of Renewable and Sustainable Energy 013115(8),
  21. [21]  Hanemann, W.M. (1994), Valuing the Environment through Contingent Valuation, The Journal of Economic Perspectives 8(4): 19-43.
  22. [22]  Hanley, N., Barbier, E.B. and Barbier, E. (2009), Pricing Nature: Cost-Benefit Analysis and Environmental Policy. Edward Elgar Publishing.
  23. [23]  Hastik, R., Basso, S., Geitner, C., Haida, C., Poljanec, A., Portaccio, A., Vrščaj, B. and Walzer, C. (2015), Renewable Energies and Ecosystem Service Impacts, Renewable and Sustainable Energy Reviews 48: 608-623.
  24. [24]  van der Horst, D. (2007), NIMBY or Not? Exploring the Relevance of Location and the Politics of Voiced Opinions in Renewable Energy Siting Controversies, Energy Policy 35(5): 2705-2714.
  25. [25]  Horton, B., Colarullo, G., Bateman, I.J. and Peres, C.A. (2003), Evaluating Non-User Willingness to Pay for a Large-Scale Conservation Programme in Amazonia: A UK/Italian Contingent Valuation Study, Environmental Conservation 30(2): 139-146.
  26. [26]  Kleiber, O. (2013), Valuation of Recreational Benefits and Visitor Conflicts in an Urban Forest. In Proceedings of Fifth International Conference of the International Society for Ecological Economics, Moskow. (April 12, 2013).
  27. [27]  Longo, A., Markandya, A. and Petrucci, M. (2008), The Internalization of Externalities in the Production of Electricity: Willingness to Pay for the Attributes of a Policy for Renewable Energy, Ecological Economics 67(1): 140-152.
  28. [28]  Ma, C., Rogers, A.A., Kragt, M.E., Zhang, F., Polyakov, M., Gibson, F., Chalak, M., Pandit, R. and Tapsuwan, S. (2015), Consumers’ Willingness to Pay for Renewable Energy: A Meta-Regression Analysis, Resource and Energy Economics 42(February): 27.
  29. [29]  Mahieu, P.A., Riera, P. and Giergiczny, M. (2012), The Influence of Cheap Talk on Willingness-to-Pay Ranges: Some Empirical Evidence from a Contingent Valuation Study, Journal of Environmental Planning and Management 55(6): 753-763.
  30. [30]  Meyerhoff, J., and Liebe, U. (2006), Protest Beliefs in Contingent Valuation: Explaining Their Motivation, Ecological Economics 57(4): 583-594.
  31. [31]  Mitchell, R.C. and Carson, R.T. (1989), Using Surveys to Value Public Goods: The Contingent Valuation Method. Resources for the Future. (June 12, 2015).
  32. [32]  Mueller, J.M. (2013), Estimating Arizona Residents’ Willingness to Pay to Invest in Research and Development in Solar Energy, Energy Policy 53: 462-476.
  33. [33]  Musall, F.D. and Kuik, O. (2011), Local Acceptance of Renewable energy—A Case Study from Southeast Germany, Energy Policy 39(6): 3252-3260.
  34. [34]  Nikodinoska, N., Foxcroft, L.C., Rouget, M., Paletto, A. and Notaro, S. (2014), Tourists’ Perceptions and Willingness to Pay for the Control of Opuntia Stricta Invasion in Protected Areas: A Case Study from South Africa, Koedoe 56(1): 1-8.
  35. [35]  Pasi, R., Balest, J., Paletto, A., Grilli, G. and Garegnani, G. (2015), La Competizione Tra L’idroelettrico E Gli Altri Usi Della Risorsa Idrica: Il Caso Delle Valli Gesso E Vermenagna (Cuneo), Gazzetta Ambiente 3: 111-122.
  36. [36]  Prakash, R. and Bhat, I.K. (2009), Energy, Economics and Environmental Impacts of Renewable Energy Systems, Renewable and Sustainable Energy Reviews 13(9): 2716-2721.
  37. [37]  Roe, B., Teisl, M.F., Levy, A. and Russell, M. (2001), US Consumers’ Willingness to Pay for Green Electricity, Energy Policy 29(11): 917-925.
  38. [38]  Scarpa, R. and Willis, K. (2010), Willingness-to-Pay for Renewable Energy: Primary and Discretionary Choice of British Households’ for Micro-Generation Technologies, Energy Economics 32(1): 129-136.
  39. [39]  Sims, C. (2013), Hypothetical Market Familiarity and the Disconnect between Stated and Observed Values for Green Energy, International Journal of Energy Economics and Policy 3(1): 10-19.
  40. [40]  Soliño, M., Prada, A. and Vázquez, M.X. (2009), Green Electricity Externalities: Forest Biomass in an Atlantic European Region. Biomass and Bioenergy 33(3), 407-414.
  41. [41]  Soliño, M., Vázquez, M.X. and Prada, A. (2009), Social Demand for Electricity from Forest Biomass in Spain: Does Payment Periodicity Affect the Willingness to Pay? Energy Policy 37(2): 531-540.
  42. [42]  Sundt, S. and Rehdanz, K. (2015), Consumers’ Willingness to Pay for Green Electricity: A Meta-Analysis of the Literature, Energy Economics 51: 1-8.
  43. [43]  Susaeta, A., Lal, P., Alavalapati, J. and Mercer, E. (2011), Random Preferences towards Bioenergy Environmental Externalities: A Case Study of Woody Biomass Based Electricity in the Southern United States, Energy Economics 33(6): 1111-1118.
  44. [44]  Svadlenak-Gomez, K., Badura, M., Kraxner, F., Fuss, S., Vettorato, D. and Walzer, C. (2014), Valuing Alpine ecosystems: the project will help decision-makers to reconcile renewable energy production and biodiversity conservation in the Alps, Eco.Mont (Journal on Protected Mountain Areas Research) 5(1): 59-62.
  45. [45]  Thompson, S.K. (2012), Sampling. Hoboken, NJ, USA: John Wiley & Sons, Inc.
  46. [46]  Tobin, J. (1958), Estimation of Relationships for Limited Dependent Variables, Econometrica 26: 24-36.
  47. [47]  Welsh, M.P. and Poe, G.L. (1998), Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach, Journal of Environmental Economics and Management 36(2): 170-185.
  48. [48]  Yoo, S.H., Kim, T.Y. and Lee, J.K. (2001), Modeling Zero Response Data from Willingness to Pay Surveys, Economics Letters 71(2): 191-196.
  49. [49]  Zoellner, J., Schweizer-Ries, P. and Wemheuer, C. (2008), Public Acceptance of Renewable Energies: Results from Case Studies in Germany, Energy Policy 36(11): 4136-4141.
  50. [50]  Zografakis, N., Sifaki, E., Pagalou, M., Nikitaki, G., Psarakis, V. and Tsagarakis, K.P. (2010), Assessment of Public Acceptance and Willingness to Pay for Renewable Energy Sources in Crete, Renewable and Sustainable Energy Reviews 14(3): 1088-1095.