Stated versus revealed knowledge: Determinants of offsetting CO2 emissions from fuel consumption in vehicle use

Energy Policy

Volumn 40, Issue 1, 2012, Pages 422-431

  Ziegler, Andreas ^a,b   Schwarzkopf, Julia ^b   Hoffmann, Volker H ^b  

^a UNIVERSITY OF KASSEL   (Germany)

^b ETH ZURICH   (Switzerland)

Author keywords

Climate change; Vehicle use

Indexed keywords

CLIMATE CHANGE; COST BENEFIT ANALYSIS; COST ESTIMATING; CRASHWORTHINESS; PURCHASING; VEHICLES;

ECONOMETRIC ANALYSIS; LICENSE-HOLDERS; PRIOR KNOWLEDGE; VEHICLE USE;

CARBON DIOXIDE;

CARBON EMISSION; CLIMATE CHANGE; ECONOMETRICS; FUEL CONSUMPTION; TRAFFIC EMISSION;

GERMANY; UNITED STATES;

EID: 84855747489     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2011.10.027     Document Type: Article

References (36)

1. Akter, S., Brouwer, R., Brander, L., Van Beukering, P., 2009. Respondent uncertainty in a contingent market for carbon offsets. Ecological Economics 68, 1858-1863.
2. Alberini, A., Boyle, K., Welsh, M., 2003. Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty. Journal of Environmental Economics and Management 45, 40-62.
3. Banfi, S., Farsi, M., Filippini, M., Jacob, M., 2008. Willingness to pay for energysaving measures in residential buildings. Energy Economics 30, 503-516.
4. Becken, S., 2004. How tourists and tourism experts perceive climate change and carbon-offsetting schemes. Journal of Sustainable Tourism 12, 332-345.
5. Börsch-Supan, A., Hajivassiliou, V.A., 1993. Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models. Journal of Econometrics 58, 347-368.
6. Braun, M. and E. Stute (2004), Anbieter von Dienstleistungen für den Ausgleich von Treibhausgasemissionen, Germanwatch, Bonn/Berlin.
7. 2 emissions. Climatic Change 90, 299-313.
8. Business for Social Responsibility (2007), Getting Carbon Offsets Right: A Business Brief on Engaging Offset Providers, San Francisco
9. Cappellari, L., Jenkins, S.P., 2003. Multivariate probit regression using simulated maximum likelihood. The Stata Journal 3 (3), 278-294.
10. Champ, P.A., Bishop, R.C., 2001. Donation payment mechanisms and contingent valuation: an empirical analysis of hypothetical bias. Environmental and Resource Economics 19, 383-402.
11. Champ, P.A., Bishop, R.C., Brown, T.C., McCollum, D.W., 1997. Using donation mechanisms to value nonuse benefits from public goods. Journal of Environmental Economics and Management 33, 151-162.
12. Clean Air-Cool Planet (2006), A Consumer's Guide to Retail Carbon Offset Providers, Portland
13. Clean Air-Cool Planet and Forum for the Future (2008), Getting to Zero: Defining Corporate Carbon Neutrality
14. Creutzig, F., Edenhofer, O., 2010. Mobilität im Wandel. Wie der Klimaschutz den Transportsektor vor neue Herausforderungen stellt. Internationales Verkehrswesen 62, 10-16.
15. Cummings, R.G., Taylor, L.O., 1999. Unbiased value estimates for environmental goods: a cheap talk design for the contingent valuation method. The American Economic Review 89, 649-665.
16. Geweke, J., Keane, M., Runkle, D., 1994. Alternative computational approaches to inference in the multinomial probit model. The Review of Economics and Statistics 76, 609-632.
17. Goett, A.A., Hudson, K., Train, K.E., 2000. Customers' choice among retail energy suppliers: the willingness-to-pay for service attributes. Energy Journal 21 (4), 1-28.
18. International Energy Agency (IEA) (2008), Energy Technology Perspectives 2008, Scenarios and Strategies to 2050, IEA, Paris
19. International Energy Agency (IEA) (2009), World Energy Outlook 2009, IEA, Paris
20. IPCC, 2007. Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge.
21. Kataria, M., 2009. Willingness to pay for environmental improvements in hydropower regulated rivers. Energy Economics 31, 69-76.
22. Keane, M., 1994. A computationally practical simulation estimator for panel data. Econometrica 62, 95-116.
23. Linacre, N., Kossoy, A., Ambrosi, P., 2011. State and Trends of the Carbon Market 2011. The World Bank, Washington, DC.
24. List, J.A., 2001. Do explicit warnings eliminate the hypothetical bias in elicitation procedures? Evidence from field auctions for sportscards. The American Economic Review 91, 1498-1507.
25. List, J.A., Gallet, C.A., 2001. What experimental protocol influence disparities between actual and hypothetical stated values? Evidence from a metaanalysis. Environmental and Resource Economics 20, 241-254.
26. Longo, A., Markandya, A., 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, 140-152.
27. MacKerron, G.J., Egerton, C., Gaskell, C., Parpia, A., Mourato, S., 2009. Willingness to pay for carbon offset certification and co-benefits among (high-)flying young adults in the UK. Energy Policy 37, 1372-1381.
28. MacMillan, D., Hanley, N., Lienhoop, N., 2006. Contingent valuation: environmental polling or preference engine? Ecological Economics 60, 299-307.
29. Menges, R., Schroeder, C., Traub, S., 2005. Altruism, warm glow and the willingness-to-donate for green electricity: an artefactual field experiment. Environmental and Resource Economics 31, 431-458.
30. Murphy, J.J., Allen, P.G., Stevens, T.H., Weatherhead, D., 2005. A meta-analysis of hypothetical bias in stated preference valuation. Environmental and Resource Economics 30, 313-325.
31. Oberndorfer, U., Rennings, K., 2007. Costs and competitiveness effects of the European Union emissions trading scheme. European Environment 17, 1-17.
32. Peeters, P., Gossling, S., Becken, S., 2006. Innovation towards tourism sustainability: climate change and aviation. International Journal of Innovation and Sustainable Development 1, 184-200.
33. Samnaliev, M., Stevens, T.H., More, T., 2006. A comparison of alternative calibration techniques in contingent valuation. Ecological Economics 57, 507-519.
34. Scarpa, R., 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.
35. White, H., 1982. Maximum likelihood estimation of misspecified models. Econometrica 50, 1-25.
36. WWF Deutschland (2008), CO2-Kompensation: Augenwischerei oder wirksamer Klimaschutz? Leitfaden des WWF für die wirksame Anwendung eines sinnvollen Instruments, Positionspapier, Frankfurt am Main