IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v165y2022ics0301421522002129.html
   My bibliography  Save this article

Public willingness to make trade-offs in the development of a hydrogen industry in Australia

Author

Listed:
  • Dumbrell, Nikki P.
  • Wheeler, Sarah Ann
  • Zuo, Alec
  • Adamson, David

Abstract

Hydrogen is attracting increasing attention and investment in the low carbon energy transition. However, it is expected that any transition to hydrogen at a meaningful scale or rate, will be dependent on the industry obtaining a social licence, underpinned by public acceptance. This study analyses responses from a public survey that asked 1,824 residents of South Australia and Victoria (Australia) to indicate how important six characteristics of a hydrogen industry would be in their decision to support the development of such an industry, namely: (1) safety; (2) climate change mitigation; (3) affordability; (4) reliability; (5) accessibility; and (6) job creation. Overall, safety was rated as the most important characteristic, followed by climate change mitigation and affordability. Fractional multinomial logit model estimates found socio-demographic (e.g. age, location) and attitudinal characteristics (e.g. concern about climate change, hydrogen knowledge) statistically significantly influenced individuals’ importance ratings of hydrogen industry characteristics. This research indicates the trade-offs that individuals may—or may not be—willing to make in the transition to hydrogen energy. Such information can be used to align policy and investment decisions with public expectations for the further development of the hydrogen industry in Australia.

Suggested Citation

  • Dumbrell, Nikki P. & Wheeler, Sarah Ann & Zuo, Alec & Adamson, David, 2022. "Public willingness to make trade-offs in the development of a hydrogen industry in Australia," Energy Policy, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:enepol:v:165:y:2022:i:c:s0301421522002129
    DOI: 10.1016/j.enpol.2022.112987
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421522002129
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2022.112987?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. Roberto F. Aguilera & Julian Inchauspe, 2022. "An overview of hydrogen prospects: Economic, technical and policy considerations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 164-186, January.
    2. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    3. Goddard, George & Farrelly, Megan A., 2018. "Just transition management: Balancing just outcomes with just processes in Australian renewable energy transitions," Applied Energy, Elsevier, vol. 225(C), pages 110-123.
    4. Jianhong E. Mu & John M. Antle & John T. Abatzoglou, 2019. "Representative agricultural pathways, climate change, and agricultural land uses: an application to the Pacific Northwest of the USA," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(5), pages 819-837, June.
    5. Unruh, Gregory C., 2002. "Escaping carbon lock-in," Energy Policy, Elsevier, vol. 30(4), pages 317-325, March.
    6. Cook, Douglas O. & Kieschnick, Robert & McCullough, B.D., 2008. "Regression analysis of proportions in finance with self selection," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 860-867, December.
    7. O'Garra, Tanya & Mourato, Susana & Pearson, Peter, 2008. "Investigating attitudes to hydrogen refuelling facilities and the social cost to local residents," Energy Policy, Elsevier, vol. 36(6), pages 2074-2085, June.
    8. Sharma, Anjali & Banerjee, Rangan, 2021. "Framework to analyze the spatial distribution of the labor impacts of clean energy transitions," Energy Policy, Elsevier, vol. 150(C).
    9. Ostfeld, Rosemary & Reiner, David M., 2020. "Public views of Scotland's path to decarbonization: Evidence from citizens' juries and focus groups," Energy Policy, Elsevier, vol. 140(C).
    10. Willand, Nicola & Horne, Ralph, 2018. "“They are grinding us into the ground” – The lived experience of (in)energy justice amongst low-income older households," Applied Energy, Elsevier, vol. 226(C), pages 61-70.
    11. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    12. Luke, Hanabeth, 2017. "Social resistance to coal seam gas development in the Northern Rivers region of Eastern Australia: Proposing a diamond model of social license to operate," Land Use Policy, Elsevier, vol. 69(C), pages 266-280.
    13. Mu, Jianhong E. & McCarl, Bruce A. & Sleeter, Benjamin & Abatzoglou, John T. & Zhang, Hongliang, 2018. "Adaptation with climate uncertainty: An examination of agricultural land use in the United States," Land Use Policy, Elsevier, vol. 77(C), pages 392-401.
    14. Heffron, Raphael J. & McCauley, Darren & Sovacool, Benjamin K., 2015. "Resolving society's energy trilemma through the Energy Justice Metric," Energy Policy, Elsevier, vol. 87(C), pages 168-176.
    15. McGreevy, Dr Michael & MacDougall, Colin & Fisher, Dr Matt & Henley, Mark & Baum, Fran, 2021. "Expediting a renewable energy transition in a privatised market via public policy: The case of south Australia 2004-18," Energy Policy, Elsevier, vol. 148(PA).
    16. Adam Loch & Peter Boxall & Sarah Ann Wheeler, 2016. "Using proportional modeling to evaluate irrigator preferences for market-based water reallocation," Agricultural Economics, International Association of Agricultural Economists, vol. 47(4), pages 387-398, July.
    17. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    18. Tanya O’Garra & Susana Mourato, 2007. "Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 389-411, April.
    19. Cowan, Robin, 1990. "Nuclear Power Reactors: A Study in Technological Lock-in," The Journal of Economic History, Cambridge University Press, vol. 50(3), pages 541-567, September.
    20. Ram, Manish & Aghahosseini, Arman & Breyer, Christian, 2020. "Job creation during the global energy transition towards 100% renewable power system by 2050," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    21. John Mullahy & Stephanie Robert, 2010. "No time to lose: time constraints and physical activity in the production of health," Review of Economics of the Household, Springer, vol. 8(4), pages 409-432, December.
    22. Eriksson, E.L.V. & Gray, E.MacA., 2017. "Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems – A critical review," Applied Energy, Elsevier, vol. 202(C), pages 348-364.
    23. Richert, Claire & Rogers, Abbie & Burton, Michael, 2015. "Measuring the extent of a Social License to Operate: The influence of marine biodiversity offsets in the oil and gas sector in Western Australia," Resources Policy, Elsevier, vol. 43(C), pages 121-129.
    24. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
    25. Healy, Noel & Barry, John, 2017. "Politicizing energy justice and energy system transitions: Fossil fuel divestment and a “just transition”," Energy Policy, Elsevier, vol. 108(C), pages 451-459.
    26. Tianyuan Luo & Cesar L Escalante, 2017. "US farm workers: What drives their job retention and work time allocation decisions?," The Economic and Labour Relations Review, , vol. 28(2), pages 270-293, June.
    27. Effendi, Pranoto & Courvisanos, Jerry, 2012. "Political aspects of innovation: Examining renewable energy in Australia," Renewable Energy, Elsevier, vol. 38(1), pages 245-252.
    28. Garnaut, Ross, 2019. "Australia can be a superpower in a low-carbon world economy," 2019: Weathering the 'Perfect Storm' - Addressing the Agriculture, Energy, Water, Climate Change Nexus, 12-13 August 2019 301970, Crawford Fund.
    29. Dumbrell, Nikki P. & Adamson, David & Wheeler, Sarah Ann, 2020. "Is social licence a response to government and market failures? Evidence from the literature," Resources Policy, Elsevier, vol. 69(C).
    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. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2023. "Price promises, trust deficits and energy justice: Public perceptions of hydrogen homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2023. "Socio-technical barriers to domestic hydrogen futures: Repurposing pipelines, policies, and public perceptions," Applied Energy, Elsevier, vol. 336(C).
    3. Jia, Zhijie & Liu, Yu & Lin, Boqiang, 2024. "The impossible triangle of carbon mitigation policy," Energy Policy, Elsevier, vol. 189(C).

    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. Jianhong E. Mu & John M. Antle & John T. Abatzoglou, 2019. "Representative agricultural pathways, climate change, and agricultural land uses: an application to the Pacific Northwest of the USA," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(5), pages 819-837, June.
    2. Jianhong Mu & Bruce McCarl & Anne Wein, 2013. "Adaptation to climate change: changes in farmland use and stocking rate in the U.S," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(6), pages 713-730, August.
    3. Harald Oberhofer & Michael Pfaffermayr, 2014. "Two-Part Models for Fractional Responses Defined as Ratios of Integers," Econometrics, MDPI, vol. 2(3), pages 1-22, September.
    4. Peter Egger & Christian Keuschnigg & Valeria Merlo & Georg Wamser, 2014. "Corporate Taxes and Internal Borrowing within Multinational Firms," American Economic Journal: Economic Policy, American Economic Association, vol. 6(2), pages 54-93, May.
    5. Egger, Peter & Keuschnigg, Christian & Merlo, Valeria & Wamser, Georg, 2011. "Corporate Taxes, Internal Borrowing, and the Lending Capacity within Multinational Firms," Economics Working Paper Series 1142, University of St. Gallen, School of Economics and Political Science.
    6. Reboul, E. & Guérin, I. & Nordman, C.J., 2021. "The gender of debt and credit: Insights from rural Tamil Nadu," World Development, Elsevier, vol. 142(C).
    7. Bluhm R & Crombrugghe D.P.I. de & Szirmai A., 2013. "The pace of poverty reduction - A fractional response approach," MERIT Working Papers 2013-051, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Koch, Steven F., 2015. "On the performance of fractional multinomial response models for estimating Engel Curves," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 54(1), June.
    9. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    10. Steven F. Koch, 2015. "On the performance of fractional multinomial response models for estimating Engel Curves," Agrekon, Taylor & Francis Journals, vol. 54(1), pages 28-52, March.
    11. Mullahy John, 2015. "Multivariate Fractional Regression Estimation of Econometric Share Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 71-100, January.
    12. Sauer, J. & Davidova, S. & Latruffe, L., 2010. "Leaving Land Fallow – The Case of Subsistence Farming in the Western Balkans," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    13. Sauer, Johannes & Davidova, Sophia & Latruffe, Laure, 2009. "Determinants for fallowing land: The case of Kosovo," 2009 Conference, August 16-22, 2009, Beijing, China 51626, International Association of Agricultural Economists.
    14. Montoya-Blandón, Santiago & Jacho-Chávez, David T., 2020. "Semiparametric quasi maximum likelihood estimation of the fractional response model," Economics Letters, Elsevier, vol. 186(C).
    15. John Mullahy, 2010. "Multivariate Fractional Regression Estimation of Econometric Share Models," NBER Working Papers 16354, National Bureau of Economic Research, Inc.
    16. McCarthy, Killian J & Aalbers, Hendrik Leendert, 2022. "Alliance-to-acquisition transitions: The technological performance implications of acquiring one's alliance partners," Research Policy, Elsevier, vol. 51(6).
    17. Leonardo S. Alaimo & Luigi M. Solivetti, 2019. "Territorial Determinants of the Brexit Vote," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 647-667, July.
    18. Kieschnick, Robert & Moussawi, Rabih, 2018. "Firm age, corporate governance, and capital structure choices," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 597-614.
    19. Xu, Min & Liu, Yong & Cui, Caiyun & Xia, Bo & Ke, Yongjian & Skitmore, Martin, 2023. "Social acceptance of NIMBY facilities: A comparative study between public acceptance and the social license to operate analytical frameworks," Land Use Policy, Elsevier, vol. 124(C).
    20. Daniel Arce & Douglas Cook & Robert Kieschnick, 2015. "On the evolution of corporate capital structures," Journal of Evolutionary Economics, Springer, vol. 25(3), pages 561-583, July.

    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:enepol:v:165:y:2022:i:c:s0301421522002129. 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/locate/enpol .

    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.