Skip to main content

Can Laboratory Experiments Help in Evaluating Emission Trading Schemes? A Pilot Experiment on Aviation Allowances: Lessons to Be Learned

  • Chapter
  • First Online:
  • 1187 Accesses

Abstract

The objective of this paper is to show the importance of incentivized laboratory experiments in the analysis of people’s propensity towards sustainability and in evaluating environmentally friendly investments. We discuss the application of a laboratory experiment to environmental regulation. In particular, we analyse the emission trading scheme (ETS) with reference to the aviation sector. In the laboratory, we test the propensity of firms to purchase permits to emit CO2 and to change their production technology. We consider a realistic framework by identifying a maximum limit of emissions established by the regulator, offering the opportunity to firms to change the initial (highly pollutant) technology. We first carry out a non-incentivized pilot experiment. Afterwards, we run an incentivized experiment. This paper shows that experiments are a valid policy support instrument, but their correct design is topical for its performance.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    For instance, Morone et al. (2018) studied food waste with a natural experiment comparing waste production when food is consumed individually with a situation in which it is consumed in group. In transport, experiments have highlighted the trade-off between parking availability and costs, in terms of time savings and have supported the design of parking policies with respect to tariffs, investments and regulation (Bergantino et al. 2015).

  2. 2.

    For instance, Ewing and Sarigöllü (2000) apply it to the choice between different types of vehicles, according to the type of fuel. From their results, the strategies of intervention are evaluated in their effectiveness and are taken in consideration to design policies for a greater diffusion of green innovations.

  3. 3.

    The number of flights performed globally by the airline industry has been steadily increasing since the early 2000’s and is expected to reach 39.4 million in 2019. This figure is over one million higher than the prediction for the previous year and represents an increase of over 50 percent from a decade prior (https://www.statista.com/statistics/564769/airline-industry-number-of-flights/).

  4. 4.

    For greater details on the EU legislation on ETS please see other chapters in the Book and in particular Bergantino and Loiacono (2019).

  5. 5.

    Data from the official website of the European Commission, session: Energy, Climate change, Environment in EU Actions. https://ec.europa.eu/clima/policies/ets_en.

  6. 6.

    Ibid.

  7. 7.

    For greater details on the ETS the reader is referred to: https://ec.europa.eu/clima/policies/ets_en.

  8. 8.

    Each bidder has a randomly determined private value for one unit of a good. The auction price ticks up at regular intervals, and a bidder can drop out at any time. The auction ends when the number of remaining bidders equals the number of items. Each of these remaining bidders receives one item, and pays the ending price.

  9. 9.

    We implemented a price increase by 10 ECUs in the auction to discourage any situation where subject was indifferent between purchasing an additional permit or not.

  10. 10.

    We conducted a One-way ANOVA with the data of the pilot experiment to determine if there was a difference in the grouping of the odd period between the first periods (First periods = 4, Last periods = 3) or between the last periods (First periods = 3, Last periods = 4).The result determined by one-way ANOVA (F (3, 12) = 1.47, p = 0.2711) shows that there was no difference between the two groupings and we can avoid the segmenting for each period.

  11. 11.

    Separating the probit analysis for the 4 treatments and analysing the individual period, we find that the learning effect is maximum in the case of a homogeneous industry under myopic regulation, where the probability of investing in the last period is about 90% higher than the first period. There is no increase in investments during the periods only for a heterogeneous industry under a non-myopic regulator.

References

  • Abraham, J., McMillan, S., Brownlee, A., & Hunt, J. D. (2004). Investigation of cycling sensitivities. Presented at 81st Annual Meeting of the Transportation Research Board, Washington, DC.

    Google Scholar 

  • Aronson, E., Brewer, M., & Carlsmith, J. M. (1985). Experimentation in social psychology. In G. Lindzey (Ed.), Handbook of social psychology (Vol. 1, pp. 441–486). Hoboken: Wiley.

    Google Scholar 

  • Arrow, K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R., & Schuman, H. (1993). Report of the NOAA panel on contingent valuation. Federal Register,58, 4601–4614.

    Google Scholar 

  • Bateman, I., Carson, R. T., Brett Day, W., Hanemann, M., Hanley, N., TannisHett, M. J.-L., et al. (2002). Economic valuation with stated preference techniques: A manual. Northampton, MA: Edward Elgar.

    Book  Google Scholar 

  • Bergantino, A. S., De Carlo, A., & Morone, A. (2015, April 25). Individuals’ behaviour with respect to parking alternatives: A laboratory experiment. MPRA Paper No. 63815, posted 13:11 UTC.

    Google Scholar 

  • Bergantino, A. S. & Loiacono, L. (2019). The impact of the European Union Emission Trading System on the aviation sector. In Sustainable aviation: The greening of the flight path. Palgrave, forthcoming.

    Google Scholar 

  • Camacho-Cuena, E., Garcìa-Gallego, A., Georgantzìs, N., & Sabater Grande, G. (2004). An experimental validation of hypothetical WTP for a recyclable product. Environmental & Resource Economics,27, 313–335.

    Article  Google Scholar 

  • Camacho-Cuena, E., Requate, T., & Waichman, I. (2012). Investment incentives under emission trading: An experimental study. Environmental Resource Economics,53, 229–249.

    Article  Google Scholar 

  • Carson, R. T., Mitchell, R. C., Hanemann, M., Kopp, R. J., Ruud, P. S. A., & Paul, A. (2003). Contingent valuation and lost passive use: Damages from the Exxon Valdez oil spill. Environmental & Resource Economics,25, 257–286.

    Article  Google Scholar 

  • Corbetta, P. (2014). Metodologia e tecniche della ricerca sociale (2° edizione). Il Mulino – Scienze sociali, ristampa.

    Google Scholar 

  • Ewing, G., & Sarigöllü, E. (2000). Assessing consumer preferences for clean-fuel vehicles: A discrete choice experiment. Journal of Public Policy and Marketing 19(1), 106–118.

    Google Scholar 

  • Fischbacher, U. (2007). z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10, 171–178.

    Google Scholar 

  • Friedman, D., & Sunder, S. (1994). Experimental methods. A primer for economists. Cambridge: Cambridge University Press.

    Google Scholar 

  • Hanemann, W. M. (1994, Fall). Valuing the environment through contingent valuation. Journal of Economic Perspectives, 8(4), 19–43.

    Google Scholar 

  • Hanemann, W. M. (1999). Neo-classical economic theory and contingent valuation. In I. J. Bateman & K. G. Willis (Eds.), Valuing environmental preferences: Theory and practice of the contingent valuation method in the US, EU, and developing countries. Oxford: Oxford University Press.

    Google Scholar 

  • Hanley, N., Wright, R. E., & Ademowicz, V. (1998). Using choice experiments to value the environment. Environmental & Resource Economics,11(3–4), 414–428.

    Google Scholar 

  • Harrison, G. W., & List, J. (2004, December). Field experiments. Journal of Economic Literature, XLII, 1009–1055.

    Google Scholar 

  • Harrison, G. W., List, J., & Towe, C. (2007, March). Naturally occurring preferences and exogenous laboratory experiments: A case study of risk aversion. Econometrica, 75(2), 433–458.

    Google Scholar 

  • Holt, C. A. (2006). Markets, games, and strategic behavior: Recipes for interactive learning. Boston: Addison-Wesley.

    Google Scholar 

  • Horton, J. J., Rand, D. G., & Zeckhauser, R. J. (2011, September). The online laboratory: Conducting experiments in areal labor market. Experimental Economics, 14(3), 399–425.

    Google Scholar 

  • International Air Transport Association—IATA. (2011). Vision 2050. IATA Report.

    Google Scholar 

  • Kelly, C. E., Tight, M. R., Hodgson, F. C., & Page, M. W. (2011). A comparison of three methods for assessing the walkability of the pedestrian environment. Journal of Transport Geography,19, 1500–1508.

    Article  Google Scholar 

  • Levitt, S. D., & List, J. A. (2007, Spring). What do laboratory experiments measuring social references reveal about the real world? Journal of Economic Perspectives, 21(2), 153–174.

    Google Scholar 

  • Matyas, M., & Kamargianni, M. (2018). Survey design for exploring demand for Mobility as a Service plans. Transportation. https://doi.org/10.1007/s11116-018-9938-8.

  • Morone, P., Falcone, P. M., Imbert, E., & Morone, A. (2018). Does food sharing lead to food waste reduction? An experimental analysis to assess challenges and opportunities of a new consumption model. Journal of Cleaner Production, 185, 749–760.

    Google Scholar 

  • Rand, D. G. (2012). The promise of Mechanical Turk: How online labor markets can help theorists run behavioral experiments. Journal of Theoretical Biology,299, 172–179.

    Article  Google Scholar 

  • Ruto E., & Garrod G. (2009). Investigating farmers preferences for the design of agri-environment schemes: A choice experiment approach. Journal of Environmental Planning and Management, 52(5), 631–647.

    Google Scholar 

  • Tilahun, N. Y., Levinson, D. M., & Krizek, K. J. (2006). Trails, lanes, or traffic: valuing bicycle facilities with an adaptive stated preference survey. Transportation Research Part A, 41(2007), 287–301.

    Google Scholar 

  • Wolfers, J., & Zitzewitz, E. (2004, Spring). Prediction markets. Journal of Economic Perspectives, 1(2), 107–126.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sabrina Armenio .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Armenio, S., Bergantino, A.S., Morone, A. (2020). Can Laboratory Experiments Help in Evaluating Emission Trading Schemes? A Pilot Experiment on Aviation Allowances: Lessons to Be Learned. In: Walker, T., Bergantino, A.S., Sprung-Much, N., Loiacono, L. (eds) Sustainable Aviation. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-28661-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-28661-3_11

  • Published:

  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-28660-6

  • Online ISBN: 978-3-030-28661-3

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics