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Can policy-packaging increase public support for costly policies? Insights from a choice experiment on policies against vehicle emissions

Published online by Cambridge University Press:  24 July 2019

Michael Wicki Open the ORCID record for Michael Wicki [Opens in a new window] ,
Robert Alexander Huber Open the ORCID record for Robert Alexander Huber [Opens in a new window]  and
Thomas Bernauer Open the ORCID record for Thomas Bernauer [Opens in a new window]
Michael Wicki
Affiliation:
ETH Zurich Institute of Science, Technology and Policy (ISTP) and International Relations (CIS), Switzerland E-mail: michael.wicki@istp.ethz.ch
Robert Alexander Huber
Affiliation:
Department of Political Science and Sociology, University of Salzburg, Austria E-mail: robert.huber@sbg.ac.at
Thomas Bernauer
Affiliation:
ETH Zurich, Institute of Science, Technology and Policy (ISTP) and International Relations (CIS), Switzerland Email: thbe0520@ethz.ch
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Abstract

Public support is usually a precondition for the adoption and successful implementation of costly policies. We argue that such support is easier to achieve with policy-packages that incorporate primary and ancillary measures. We specifically distinguish command-and-control and market-based measures as primary measures and argue that the former will usually garner more public support than the latter given the low-visibility tendency of costs associated with command-and-control measures. Nevertheless, if included in a policy-package, ancillary measures are likely to increase public support by reducing negative effects of primary measures. Based on a choice experiment with a representative sample of 2,034 Swiss citizens, we assessed these arguments with respect to political efforts to reduce vehicle emissions. The empirical analysis supported the argument that policy-packaging affects public support positively, particularly generating more support when ancillary measures are added. Lastly, we ultimately observe that command-and-control measures obtain more public support than market-based instruments.

Keywords

ancillary measurescommand-and-control measuresconjoint experimentmarket-based regulationpublic opiniontransportation policy
Type
Research Article
Information
Journal of Public Policy , Volume 40 , Issue 4 , December 2020 , pp. 599 - 625
Copyright
© Cambridge University Press 2019

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References

Anderson, B, Böhmelt, T and Ward, H (2017) Public Opinion and Environmental Policy Output: A Cross-National Analysis of Energy Policies in Europe. Environmental Research Letters, 12(11): 114011. http://stacks.iop.org/1748-9326/12/i%3d11/a%3d114011.10.1088/1748-9326/aa8f80CrossRefGoogle Scholar
Andersson, D and Nässén, J (2016) The Gothenburg Congestion Charge Scheme: A Pre–post Analysis of Commuting Behavior and Travel Satisfaction. Journal of Transport Geography, 52: 82–89. http://www.sciencedirect.com/science/article/pii/S0966692316000430.10.1016/j.jtrangeo.2016.02.014CrossRefGoogle Scholar
Arnold, JB (2017) Ggthemes: Extra Themes, Scales and Geoms for ‘ggplot2.’ R package version 3.4. 0. https://cran.r-project.org/web/packages/ggthemes/index.html.Google Scholar
Balmer, U (2005) The Window of Opportunity: How the Obstacles to the Introduction of the Swiss Heavy Goods Vehicle Fee Have Been Overcome. OECD Papers, 5(5): 1–39. https://ideas.repec.org/a/oec/packaa/5lgmkvgbcj0p.html.Google Scholar
Bamberg, S and Rölle, D (2003) Determinants of People’s Acceptability of Pricing Measures: Replication and Extension of a Causal Model. In Schade, J and Schlag, B (eds.), Acceptability of Transport Pricing Strategies. Oxford, UK: Elsevier Science, 235–248.CrossRefGoogle Scholar
Banister, D (2003) Critical Pragmatism and Congestion Charging in London. International Social Science Journal, 55(176): 249–264. doi: 10.1111/j.1468-2451.2003.05502006.x.CrossRefGoogle Scholar
Bansak, K, Hainmueller, J, Hopkins, DJ and Yamamoto, T (2019) Beyond the Breaking Point? Survey Satisficing in Conjoint Experiments. Political Science Research and Methods, forthcoming: 1–19. doi: 10.1017/psrm.2019.13.CrossRefGoogle Scholar
Barton, DN, Benavides, K, Chacon-Cascante, A, Le Coq, JF, Quiros, MM, Porras, I, Primmer, E and Ring, I (2017) Payments for Ecosystem Services as a Policy Mix: Demonstrating the Institutional Analysis and Development Framework on Conservation Policy Instruments. Environmental Policy and Governance, 27(5): 404–421. https://onlinelibrary.wiley.com/doi/abs/10.1002/eet.1769.CrossRefGoogle Scholar
Bates, D, Mächler, M, Bolker, B and Walker, S (2015) Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1): 1–48. http://www.jstatsoft.org/v67/i01/.CrossRefGoogle Scholar
Beiser-McGrath, LF and Huber, RA (2018) Assessing the Relative Importance of Psychological and Demographic Factors for Predicting Climate and Environmental Attitudes. Climatic Change, 149(3–4): 335–347.10.1007/s10584-018-2260-9CrossRefGoogle Scholar
Bellé, N, Cantarelli, P and Belardinelli, P (2018) Prospect Theory Goes Public: Experimental Evidence on Cognitive Biases in Public Policy and Management Decisions. Public Administration Review, 78(6): 828–840. doi: 10.1111/puar.12960.CrossRefGoogle Scholar
Bemelmans-Videc, ML, Rist, RC and Vedung, EO (2011) Carrots, Sticks, and Sermons: Policy Instruments and Their Evaluation. New Brunswick (USA) and London (UK): Transaction Publishers.Google Scholar
Bernauer, T, Prakash, A and Beiser-McGrath, LF (2018) Do Exemptions Undermine Environmental Policy Support? An Experimental Stress Test on the Odd-Even Road Space Rationing Policy in India. Regulation & Governance. doi: 10.1111/rego.12225.CrossRefGoogle Scholar
Böcher, M (2012) A Theoretical Framework for Explaining the Choice of Instruments in Environmental Policy. Forest Policy and Economics, 16: 14–22. doi: 10.1016/j.forpol.2011.03.012.CrossRefGoogle Scholar
Bontoux, L and Bengtsson, D (2016) Using Scenarios to Assess Policy Mixes for Resource Efficiency and Eco-Innovation in Different Fiscal Policy Frameworks. Sustainability, 8(4): 309–321. doi: 10.3390/su8040309.CrossRefGoogle Scholar
Bristow, AL, Wardman, M, Zanni, AM and Chintakayala, PK (2010) Public Acceptability of Personal Carbon Trading and Carbon Tax. Ecological Economics, 69(9): 1824–1837. http://www.sciencedirect.com/science/article/pii/S0921800910001643.10.1016/j.ecolecon.2010.04.021CrossRefGoogle Scholar
Brunetti, A and Straubhaar, T (1996) Direkte Demokratie -- Bessere Demokratie? Was Lehrt Uns Das Schweizer Beispiel. Zeitschrift für Politikwissenschaft, 6(1): 7–26.Google Scholar
Carson, RT and Hanemann, WM (2005) Chapter 17 Contingent Valuation. Handbook of Environmental Economics, 2: 821–936. doi: 10.1016/S1574-0099(05)02017-6.CrossRefGoogle Scholar
Cherry, TL, Kallbekken, S and Kroll, S (2012) The Acceptability of Efficiency-Enhancing Environmental Taxes, Subsidies and Regulation: An Experimental Investigation. Environmental Science & Policy, 16: 90–96. doi: 10.1016/j.envsci.2011.11.007.CrossRefGoogle Scholar
Cherry, TL, Kallbekken, S and Kroll, S (2014) The Impact of Trial Runs on the Acceptability of Environmental Taxes: Experimental Evidence. Resource and Energy Economics, 38: 84–95. http://www.sciencedirect.com/science/article/pii/S092876551400058X.CrossRefGoogle Scholar
Dargusch, P and Griffiths, A (2008) Introduction to Special Issue: A Typology of Environmental Markets. Australasian Journal of Environmental Management, 15(2): 70–75. doi: 10.1080/14486563.2008.9725186.CrossRefGoogle Scholar
Dermont, C, Ingold, K, Kammermann, L and Stadelmann-Steffen, I (2017) Bringing the Policy Making Perspective in: A Political Science Approach to Social Acceptance. Energy Policy, 108: 359–368. http://www.sciencedirect.com/science/article/pii/S0301421517303531.10.1016/j.enpol.2017.05.062CrossRefGoogle Scholar
Dowle, M and Srinivasan, A (2017) Data.table: Extension of ‘data.frame’. https://cran.r-project.org/package%3ddata.table.Google Scholar
Drews, S and van den Bergh, JCJM (2016) What Explains Public Support for Climate Policies? A Review of Empirical and Experimental Studies. Climate Policy, 16(7): 855–876. doi: 10.1080/14693062.2015.1058240.CrossRefGoogle Scholar
Ekvall, T, Hirschnitz-Garbers, M, Eboli, F and Śniegocki, A (2016) A Systemic and Systematic Approach to the Development of a Policy Mix for Material Resource Efficiency. Sustainability, 8(4). doi: 10.3390/su8040373.CrossRefGoogle Scholar
Eriksson, L, Garvill, J and Nordlund, AM (2008) Acceptability of Single and Combined Transport Policy Measures : The Importance of Environmental and Policy Specific Beliefs. Research Part A: Policy and Practice, 42(8): 1117–1128.Google Scholar
European Environment Agency (2017) Monitoring CO2 Emissions from New Passenger Cars and Vans in 2016. Luxembourg: Publications Office of the European Union. https://www.eea.europa.eu/publications/co2-emissions-new-cars-and-vans-2016.Google Scholar
Federal Office for Spatial Development (2016) Externe Kosten Und Nutzen Des Verkehrs in Der Schweiz. Strassen-, Schienen-, Luft- Und Schiffsverkehr 2010 Bis 2013.Google Scholar
Federal Office for the Environment (2017) CO2 Emissions from Thermal and Motor Fuels. https://www.bafu.admin.ch/bafu/en/home/themen/thema-klima/klima--daten--indikatoren-und-karten/klima--indikatoren/indikator-klima.pt.html/aHR0cHM6Ly93d3cuaW5kaWthdG9yZW4uYWRtaW4uY2gvUHVibG/ljL0FlbURldGFpbD9pbmQ9S0wwMDEmbG5nPWVu.html (accessed 6 July 2017).Google Scholar
Federal Statistical Office (2018) Angenommene Und Verworfene Abstimmungsvorlagen, Nach Typ. https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken/tabellen.assetdetail.6666047.html (accessed 31 January 2019).Google Scholar
Felder, S and Schleiniger, R (2002) Environmental Tax Reform: Efficiency and Political Feasibility. Ecological Economics, 42(1): 107–116. http://www.sciencedirect.com/science/article/pii/S092180090200109X.10.1016/S0921-8009(02)00109-XCrossRefGoogle Scholar
Flanagan, K, Uyarra, E and Laranja, M (2010) The ‘policy Mix’for Innovation: Rethinking Innovation Policy in a Multi-Level, Multi-Actor Context. Research Policy, 40(5): 702–713. https://ssrn.com/abstract%3d1629744.10.1016/j.respol.2011.02.005CrossRefGoogle Scholar
Fox, J (2003).Effect Displays in R for Generalised Linear Models. Journal of Statistical Software, 8(15). http://www.jstatsoft.org/v08/i15/ (accessed 4 November 2016).Google Scholar
Fox, J and Hong, J (2009) Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the Effects Package. Journal of Statistical Software, 32(1): 1–24. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9531.2006.00180.x/abstract%5Cnhttp://www.jstatsoft.org/v32/i01/ (accessed 4 November 2016).CrossRefGoogle Scholar
Franzen, A and Vogl, D (2013) Two Decades of Measuring Environmental Attitudes: A Comparative Analysis of 33 Countries. Global Environmental Change, 23(5): 1001–1008.10.1016/j.gloenvcha.2013.03.009CrossRefGoogle Scholar
Freitag, M, Vatter, A and Müller, C (2003) Bremse Oder Gaspedal? Eine Empirische Untersuchung Zur Wirkung Der Direkten Demokratie Auf Den Steuerstaat. Politische Vierteljahresschrift, 44(3): 348–369. doi: 10.1007/s11615-003-0068-2.CrossRefGoogle Scholar
Givoni, M (2014) Addressing Transport Policy Challenges through Policy-Packaging. Transportation Research Part A: Policy and Practice, 60: 1–8.Google Scholar
Givoni, M, Macmillen, J, Banister, D and Feitelson, E (2013) From Policy Measures to Policy Packages. Transport Reviews, 33(1): 1–20. doi: 10.1080/01441647.2012.744779.CrossRefGoogle Scholar
de Groot, JIM and Schuitema, G (2012) How to Make the Unpopular Popular? Policy Characteristics, Social Norms and the Acceptability of Environmental Policies. Environmental Science & Policy, 19: 100–107. doi: 10.1016/j.envsci.2012.03.004.CrossRefGoogle Scholar
Gunningham, N and Sinclair, D (1999) Designing Smart Regulation. In Hutter, B (eds.), A Reader in Environmental Law. Oxford: Oxford University Press, 305–334. https://www.oecd.org/env/outreach/33947759.pdf.Google Scholar
Gunningham, N and Sinclair, D (2017) Leaders and Laggards: Next-Generation Environmental Regulation. Sheffield: Greenleaf Publishing.CrossRefGoogle Scholar
Hahn, RW and Stavins, RN (1992) Economic Incentives for Environmental Protection: Integrating Theory and Practice. The American Economic Review, 82(2): 464–468. http://www.jstor.org/stable/2117445.Google Scholar
Hainmueller, J, Hopkins, DJ and Yamamoto, T (2014) Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments. Political Analysis, 22(1): 1.CrossRefGoogle Scholar
Hansla, A, Hysing, E, Nilsson, A and Martinsson, J (2017) Explaining Voting Behavior in the Gothenburg Congestion Tax Referendum. Transport Policy, 53: 98–106. http://www.sciencedirect.com/science/article/pii/S0967070X16306825.CrossRefGoogle Scholar
Howlett, M (2011) Designing Public Policies: Principles and Instruments. London: Routledge.Google Scholar
Howlett, M, How, YP and del Rio, P (2015). The Parameters of Policy Portfolios: Verticality and Horizontality in Design Spaces and Their Consequences for Policy Mix Formulation. Environment and Planning C: Government and Policy, 33(5): 1233–1245.CrossRefGoogle Scholar
Howlett, M and Rayner, J (2013) Patching vs Packaging in Policy Formulation: Assessing Policy Portfolio Design. Politics and Governance, 1(2): 170.CrossRefGoogle Scholar
Huber, RA, Anderson, B and Bernauer, T (2018) Can Social Norm Interventions Promote Voluntary pro Environmental Action? Environmental Science & Policy, 89: 231–246. doi: 10.1016/j.envsci.2018.07.016.CrossRefGoogle Scholar
Huber, RA, Wicki, M and Bernauer, T (2019) Public Support for Environmental Policy Depends on Beliefs Concerning Effectiveness, Intrusiveness, and Fairness. Environmental Politics, forthcoming. doi: 10.1080/09644016.2019.1629171.CrossRefGoogle Scholar
Hysing, E and Isaksson, K (2015) Building Acceptance for Congestion Charges -- The Swedish Experiences Compared. Journal of Transport Geography, 49: 52–60. doi: 10.1016/j.jtrangeo.2015.10.008.CrossRefGoogle Scholar
Jaensirisak, S, Wardman, M and May, AD (2005) Explaining Variations in Public Acceptability of Road Pricing Schemes. Journal of Transport Economics and Policy, 39(2): 127–153.Google Scholar
Justen, A, Fearnley, N, Givoni, M and Macmillen, J (2014) A Process for Designing Policy Packaging: Ideals and Realities. Transportation Research Part A: Policy and Practice, 60: 9–18. doi: 10.1016/j.tra.2013.10.016.Google Scholar
Kachi, A, Bernauer, T and Gampfer, R (2015) Climate Policy in Hard Times: Are the Pessimists Right? Ecological Economics, 114: 227–241. http://www.sciencedirect.com/science/article/pii/S0921800915000865.CrossRefGoogle Scholar
Kallbekken, S and Aasen, M (2010) The Demand for Earmarking: Results from a Focus Group Study. Ecological Economics, 69(11): 2183–2190. http://linkinghub.elsevier.com/retrieve/pii/S0921800910002284.CrossRefGoogle Scholar
Kallbekken, S, Garcia, JH and Korneliussen, K (2013) Determinants of Public Support for Transport Taxes. Transportation Research Part A: Policy and Practice, 58: 67–78.Google Scholar
Kallbekken, S and Sælen, H (2011) Public Acceptance for Environmental Taxes: Self-Interest, Environmental and Distributional Concerns. Energy Policy, 39(5): 2966–2973. http://www.sciencedirect.com/science/article/pii/S0301421511001868.CrossRefGoogle Scholar
Kern, F, Kivimaa, P and Martiskainen, M (2017) Policy Packaging or Policy Patching? The Development of Complex Energy Efficiency Policy Mixes. Energy Research and Social Science, 23: 11–25. doi: 10.1016/j.erss.2016.11.002.CrossRefGoogle Scholar
Kim, J, Schmöcker, JD, Fujii, S and Noland, RB. (2013) Attitudes towards Road Pricing and Environmental Taxation among US and UK Students. Transportation Research Part A: Policy and Practice, 48: 50–62.Google Scholar
Kirchgässner, G and Schneider, F (2003) On the Political Economy of Environmental Policy. Public Choice, 115(3): 369–396. doi: 10.1023/A:1024289627887.CrossRefGoogle Scholar
Krosnick, JA (1999) Survey Research. Annual Review of Psychology, 50(1): 537–567. doi: 10.1146/annurev.psych.50.1.537.CrossRefGoogle ScholarPubMed
Lehmann, P. (2010) Justifying a Policy Mix for Pollution Control: A Review of Economic Literature. Journal of Economic Surveys, 26(1): 71–97. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-6419.2010.00628.x.CrossRefGoogle Scholar
Leifeld, P (2013) Texreg: Conversion of Statistical Model Output in R to LaTeX and HTML Tables. Journal of Statistical Software, 55(8): 1–24. http://www.jstatsoft.org/v55/i08/.CrossRefGoogle Scholar
Linder, W (2012) Schweizerische Demokratie: Institutionen, Prozesse, Perspektiven, 3. Auflage. Bern: Haupt Verlag.Google Scholar
Louviere, JJ, Hensher, D and Swait, J (2000) Stated Choice Methods. New York: Cambridge University Press. http://econpapers.repec.org/RePEc:cup:cbooks:9780521788304.CrossRefGoogle Scholar
Lubell, M, Zahran, S and Vedlitz, A (2007) Collective Action and Citizen Responses to Global Warming. Political Behavior, 29(3): 391–413.CrossRefGoogle Scholar
Marcucci, E, Gatta, V, Marciani, M and Cossu, P (2017) Measuring the Effects of an Urban Freight Policy Package Defined via a Collaborative Governance Model. Research in Transportation Economics, 65: 3–9. http://www.sciencedirect.com/science/article/pii/S0739885917301798.CrossRefGoogle Scholar
Mavrot, C, Hadorn, S and Sager, F (2018) Mapping the Mix: Linking Instruments, Settings and Target Groups in the Study of Policy Mixes. Research Policy. doi: 10.1016/j.respol.2018.06.012.CrossRefGoogle Scholar
Milkman, KL, Mazza, MC, Shu, LL, Tsay, CJ and Bazerman, MH (2012) Policy Bundling to Overcome Loss Aversion: A Method for Improving Legislative Outcomes. Organizational Behavior and Human Decision Processes, 117(1): 158–167. https://www.sciencedirect.com/science/article/pii/S0749597811000793 (accessed 18 June 2018).CrossRefGoogle Scholar
Mundell, RA (1962) The Appropriate Use of Monetary and Fiscal Policy for Internal and External Stability. Staff Papers, 9(1): 70–79. doi: 10.2307/3866082.CrossRefGoogle Scholar
Niewenhuis, R, Grotenhuis, M and Pelzer, B (2012). Influence. ME: Tools for Detecting Influential Data in Mixed Effects Models. R Journal, 4: 38–47.CrossRefGoogle Scholar
Nissinen, A, Heiskanen, E, Perrels, A, Berghäll, E, Liesimaa, V and Mattinen, MK (2015) Combinations of Policy Instruments to Decrease the Climate Impacts of Housing, Passenger Transport and Food in Finland. Journal of Cleaner Production, 107: 455–466. http://www.sciencedirect.com/science/article/pii/S0959652614009184.CrossRefGoogle Scholar
Pereira, Á, Carballo-Penela, A, Guerra, A and Vence, X (2018) Designing a Policy Package for the Promotion of Servicising: A Case Study of Vineyard Crop Protection in Galicia (Spain). Journal of Environmental Planning and Management, 61(2): 348–369. doi: 10.1080/09640568.2017.1308317.CrossRefGoogle Scholar
Piatkowski, D, Marshall, W and Krizek, K (2019) Carrots versus Sticks: Assessing Intervention Effectiveness and Implementation Challenges for Active Transport. Journal of Planning Education and Research, 39(1): 50–64. http://journals.sagepub.com.libproxy.lib.unc.edu/doi/pdf/10.1177/0739456X17715306.CrossRefGoogle Scholar
Pleger, LE (2017) Voters’ Acceptance of Land Use Policy Measures: A Two-Level Analysis. Land Use Policy, 63: 501–513. http://www.sciencedirect.com/science/article/pii/S0264837715302660.CrossRefGoogle Scholar
Pleger, LE, Lutz, P and Sager, F (2018) Public Acceptance of Incentive-Based Spatial Planning Policies: A Framing Experiment. Land Use Policy, 73: 225–238. http://www.sciencedirect.com/science/article/pii/S0264837717305215.CrossRefGoogle Scholar
R Core Team (2015) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.r-project.org/.Google Scholar
Raîche, G, Walls, TA, Magis, D, Riopel, M and Blais, JG (2013) Non-Graphical Solutions for Cattell’s Scree Test. Methodology, 9(1): 23–29. http://econtent.hogrefe.com/doi/abs/10.1027/1614-2241/a000051.CrossRefGoogle Scholar
Rienstra, SA, Rietveld, P and Verhoef, ET (1999) The Social Support for Policy Measures in Passenger Transport. Transportation Research Part D: Transport and Environment, 4(3): 181–200. doi: 10.1016/S1361-9209(99)00005-X.CrossRefGoogle Scholar
Ring, I and Barton, DN (2015) Economic Instruments in Policy Mixes for Biodiversity Conservation and Ecosystem Governance. In: Martinez-Alier, J and Muradian, R (Ed.), Handbook of Ecological Economics, Cheltenham, Edward Elgar, 413–449.CrossRefGoogle Scholar
Sælen, H and Kallbekken, S (2011) A Choice Experiment on Fuel Taxation and Earmarking in Norway. Ecological Economics, 70(11): 2181–2190. http://www.sciencedirect.com/science/article/pii/S0921800911002710.CrossRefGoogle Scholar
Sager, F (2007) Making Transport Policy Work: Polity, Policy, Politics and Systematic Review. Policy & Politics, 35(2): 269–288. doi: 10.1332/030557307780712951.CrossRefGoogle Scholar
Sager, F, Ingold, KM and Balthasar, A (2017) Policy-Analyse in Der Schweiz-Besonderheiten, Theorien, Beispiele. Zürich: NZZ Libro.Google Scholar
Schade, J and Schlag, B (2003) Acceptability of Urban Transport Pricing Strategies. Transportation Research Part F: Traffic Psychology and Behaviour, 6(1): 45–61.CrossRefGoogle Scholar
Schuitema, G, Steg, L and Forward, S (2010a) Explaining Differences in Acceptability before and Acceptance after the Implementation of a Congestion Charge in Stockholm. Transportation Research Part A: Policy and Practice, 44(2): 99–109. http://www.sciencedirect.com/science/article/pii/S0965856409001256.Google Scholar
Schuitema, G, Steg, L and Rothengatter, JA (2010b) The Acceptability, Personal Outcome Expectations, and Expected Effects of Transport Pricing Policies. Journal of Environmental Psychology, 30(4): 587–593. http://www.sciencedirect.com/science/article/pii/S0272494410000538.CrossRefGoogle Scholar
Schulz, T (2001) Framing Environmental Ballot, Propositions: The Influence of Simultaneous’ Pocketbook Measures’ and Negative Framing. University of St. Gallen Working Paper, 2001(5): 3–43. doi: 10.2139/ssrn.274826.Google Scholar
Sheffer, L, Loewen, PJ, Soroka, S, Walgrave, S and Sheafer, T (2018) Nonrepresentative Representatives: An Experimental Study of the Decision Making of Elected Politicians. American Political Science Review, 112(2): 302–321. https://www.cambridge.org/core/article/nonrepresentative-representatives-an-experimental-study-of-the-decision-making-of-elected-politicians/3ABB868FCF033666C9FBC22D7D97F24E.CrossRefGoogle Scholar
Sørensen, CH, Isaksson, K, Macmillen, J, Åkerman, J and Kressler, F (2014) Strategies to Manage Barriers in Policy Formation and Implementation of Road Pricing Packages. Transportation Research Part A: Policy and Practice, 60: 40–52. http://www.sciencedirect.com/science/article/pii/S0965856413002012.Google Scholar
Stadelmann-Steffen, I (2011) Citizens as Veto Players: Climate Change Policy and the Constraints of Direct Democracy. Environmental Politics, 20(4): 485–507. doi: 10.1080/09644016.2011.589577.CrossRefGoogle Scholar
Steg, L, Dreijerink, L and Abrahamse, W (2006) Why Are Energy Policies Acceptable and Effective? Environment and Behavior, 38(1): 92–111. http://journals.sagepub.com/doi/10.1177/0013916505278519.CrossRefGoogle Scholar
Stehr, N (2015) Climate Policy: Democracy Is Not an Inconvenience. Nature, 525(7570): 449–450. https://www.nature.com/news/climate-policy-democracy-is-not-an-inconvenience-1.18393.CrossRefGoogle ScholarPubMed
Stradling, SG, Meadows, ML and Beatty, S (2000) Helping Drivers out of Their Cars Integrating Transport Policy and Social Psychology for Sustainable Change. Transport Policy, 7(3): 207–215. http://www.sciencedirect.com/science/article/pii/S0967070X00000263.CrossRefGoogle Scholar
Thalmann, P (2004) The Public Acceptance of Green Taxes: 2 Million Voters Express Their Opinion. Public Choice, 119(1/2): 179–217. http://link.springer.com/10.1023/B:PUCH.0000024165.18082.db.CrossRefGoogle Scholar
Thorpe, N, Hills, P and Jaensirisak, S (2000) Public Attitudes to TDM Measures: A Comparative Study. Transport Policy, 7(4): 243–257. http://www.sciencedirect.com/science/article/pii/S0967070X0000007X.CrossRefGoogle Scholar
Toepoel, V (2015) Doing Surveys Online. Los Angeles: Sage.Google Scholar
Tsebelis, G (2002) Veto Players: How Political Institutions Work. New York: Princeton University Press.CrossRefGoogle Scholar
Vatter, A (2016) Das Politische System Der Schweiz. 2., aktual. Baden-Baden: Nomos Verlagsgesellschaft.Google Scholar
Vedung, E (1998) Policy Instruments: Typologies and Theories. In Bemelmans-Videc, ML, Rist, RC and Vedung, E (eds.), Carrots, Sticks, and Sermons: Policy Instruments and Their Evaluation. New Brunswick, NJ, and London: Transaction Publishers, 21–58.Google Scholar
Vonk Noordegraaf, DM, Annema, JA and van Wee, B (2014) Policy Implementation Lessons from Six Road Pricing Cases. Transportation Research Part A: Policy and Practice, 59: 172–191. http://www.sciencedirect.com/science/article/pii/S096585641300222X.Google Scholar
Wickham, H (2009) ggplot2: Elegant Graphics for Data Analysis. New York, NY: Springer. http://had.co.nz/ggplot2/book.CrossRefGoogle Scholar
Wickham, H (2016) Tidyr: Easily Tidy Data with Spread () and Gather () Functions. Version 0.6. 0. https://cran.r-project.org/web/packages/tidyr/index.html.Google Scholar
Wickham, H (2017) Forcats: Tools for Working with Categorical Variables (Factors).Google Scholar
Wickham, H and Grolemund, G (2017) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 1st ed. Sebastopol, CA: O’Reilly Media.Google Scholar
Wicki, M, Fesenfeld, L and Bernauer, T (2019) In search of politically feasible policy-packages for sustainable passenger transport: insights from choice experiments in China, Germany, and the USA. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab30a2.CrossRefGoogle Scholar
Wlezien, C (1995) The Public as Thermostat: Dynamics of Preferences for Spending. American Journal of Political Science, 39(4): 981. http://www.jstor.org/stable/2111666?origin%3dcrossref.CrossRefGoogle Scholar
World Health Organization (2008) MPOWER: A Policy Package to Reverse the Tobacco Epidemic. http://apps.who.int/iris/bitstream/handle/10665/43888/9789241596633_eng.pdf?sequence%3d1&isAllowed%3dy.Google Scholar
Zaslawski, V (2017) Keine Pilotversuche. Kantone Bremsen Beim Mobility-Pricing. Neue Zürcher Zeitung. https://www.nzz.ch/schweiz/keine-pilotversuche-kantone-bremsen-beim-mobility-pricing-ld.1304443%0A.Google Scholar
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Wicki et al. Dataset

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https://doi.org/10.7910/DVN/LUJC8I
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Wicki et al. supplementary material

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