Abstract
The Paris Agreement sets forth a global effort to limit climate warming to well below 2 ℃, necessitating collaborative actions among economically competitive nations. This research introduces a distributed ledger technology (DLT)-based system designed to uphold sovereign data control while facilitating cross-national enforcement of CO2 emissions monitoring and reduction policies. Drawing insights from the implementation of vehicular fuel consumption metering in the European Union, we leverage the framework of coopetition theory to elucidate the potential alignment of disparate interests towards a common environmental goal, with due regard to national autonomy. We present a DLT prototype, developed via a design science methodology, aimed at monitoring and reducing automotive CO2 emissions across Europe. This prototype serves as an exemplar of how innovative solutions can mediate competing interests, promoting cooperation on an international scale.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Androulaki, E., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains (2018). ArXiv:1801.10228. https://doi.org/10.1145/3190508.3190538
Bano, S., Sonnino, A., Al-bassam, M., Azouvi, S., Mccorry, P.: SoK: Consensus in the Age of Blockchains (2017). ArXiv: 1711.03936. https://arxiv.org/pdf/1711.03936.pdf
Beck, R., Müller-Bloch, C., King, J.L.: Governance in the blockchain economy: a framework and research agenda. J. Assoc. Inf. Syst. 19(10), 1020–1034 (2018). https://doi.org/10.17705/1jais.00518
Beck, R., Stenum Czepluch, J., Lollike, N., Malone, S.: Blockchain - the gateway to trust-free cryptographic transactions. In: 24th European Conference on Information Systems, ECIS 2016, pp. 1–14 (2016)
Beck, R., Weber, S., Gregory, R.W.: Theory-generating design science research. Inf. Syst. Front. 15(4), 637–651 (2013). https://doi.org/10.1007/s10796-012-9342-4
Dai, J., Vasarhelyi, M.A.: Toward blockchain-based accounting and assurance. J. Inf. Syst. 31(3), 5–21 (2017). https://doi.org/10.2308/isys-51804
Deutsche Tamoil GmbH. “Pay at pump”-Smart fueling using Connected Fueling HEM and PACE cooperate in mobile payment at the fuel pump (2020). https://www.pace.car/press/press_releases/200602_-_HEM_and_PACE_cooperate_in_mobile_payment_at_the_fuel_pump.pdf
Dorri, A., Kanhere, S.S., Jurdak, R., Gauravaram, P.: Blockchain for IoT security and privacy: the case study of a smart home. In: 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 618–23. IEEE (2017). https://doi.org/10.1109/PERCOMW.2017.7917634
Duarte, G.O., Gonçalves, G.A., Farias, T.L.: Analysis of fuel consumption and pollutant emissions of regulated and alternative driving cycles based on real-world measurements. Transp. Res. Part D: Transp. Environ. 44, 43–54 (2016). https://doi.org/10.1016/j.trd.2016.02.009
EEA. Greenhouse gas emissions from transport sector in Europe. European Environment Agency, 2 (2019). https://www.eea.europa.eu/data-and-maps/indicators/transport-emissions-of-greenhouse-gases/transport-emissions-of-greenhouse-gases-12
EUC. REGULATION (EU) 2019/631 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL setting CO2 emission performance standards for new passenger cars and for new light commercial vehicles, and repealing Regulations (EC) No 443/2009 and (EU) No 510/2011. Official Journal of the European Union (2019). https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019R0631&from=EN
European Court of Auditors. The EU’s response to the “dieselgate” scandal. Briefing Paper (2019). https://www.eca.europa.eu/lists/ecadocuments/brp_vehicle_emissions/brp_vehicle_emissions_en.pdf
Fontaras, G., Zacharof, N.-G., Ciuffo, B.: Fuel consumption and CO2 emissions from passenger cars in Europe – laboratory versus real-world emissions. Prog. Energy Combust. Sci. 60, 97–131 (2017). https://doi.org/10.1016/j.pecs.2016.12.004
Glaser, F.: Pervasive decentralisation of digital infrastructures: a framework for blockchain enabled system and use case analysis. In: HICSS 2017 Proceedings, pp. 1543–1552 (2017). https://doi.org/10.1145/1235
Grant, M.D., Choate, A., Pederson, L.: Assessment of Greenhouse Gas Analysis Techniques for Transportation Projects. The National Academics of Sciences (2008). https://trid.trb.org/view/848709
Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. Manag. Inf. Syst. 37(2), 337–355 (2013). https://doi.org/10.25300/MISQ/2013/37.2.01
Jones, David, Gregor, Shirley: The anatomy of a design theory. J. Assoc. Inf. Syst. 8(5), 312–335 (2007). https://doi.org/10.17705/1jais.00129
Helliar, C.V., Crawford, L., Rocca, L., Teodori, C., Veneziani, M.: Permissionless and permissioned blockchain diffusion. Int. J. Inf. Manag. 54, 102136 (2020). https://doi.org/10.1016/j.ijinfomgt.2020.102136
Bichler, Martin: Design science in information systems research. MIS Q. 48(2), 133–135 (2006). https://doi.org/10.1007/s11576-006-0028-8
Hyperledger Fabric. A Blockchain Platform for the Enterprise. Hyperledger Fabric (2023). https://hyperledger-fabric.readthedocs.io/en/release-2.5/whatis.html. Accessed 13 June 2023
Ismagilova, E., Hughes, L., Dwivedi, Y.K., Raman, K.R.: Smart cities: advances in research—an information systems perspective. Int. J. Inf. Manag. 47(January), 88–100 (2019). https://doi.org/10.1016/j.ijinfomgt.2019.01.004
Kollamthodi, S., Kay, D., Skinner, I., Dun, C., Hausberger, S.: The potential for mass reduction of passenger cars and light commercial vehicles in relation to future CO2 regulatory requirements: Appendices. Ricardo-AEA. Report for the European Commission – DG Climate Action, Ref. CLIMA (2015). https://ec.europa.eu/clima/sites/clima/files/transport/vehicles/docs/ldv_downweighting_co2_appendices_en.pdf
Manjunath, P., Soman, R., Shah, D.P.G.:. Iot and block chain driven intelligent transportation system. In: Proceedings of the 2nd International Conference on Green Computing and Internet of Things, ICGCIoT 2018, pp. 290–293 (2018). https://doi.org/10.1109/ICGCIoT.2018.8753007
March, S.T., Smith, G.F.: Design and natural science research on information technology. Decis. Support Syst. 15(4), 251–266 (1995). https://doi.org/10.1016/0167-9236(94)00041-2
Narayanan, A., Clark, J.: The concept of cryptocurrencies is built from forgotten ideas in research literature. Commun. ACM 15(4), 1–30 (2017). https://doi.org/10.1145/3132259
Orlikowski, W.J., Lacono, S.C.: Research commentary: desperately seeking the “IT” in IT research - a call to theorizing the IT artifact. Inf. Syst. Res. 12(2), 121–134 (2001)
Pappas, I.O., Mikalef, P., Dwivedi, Y.K., Jaccheri, L., Krogstie, J., Mäntymäki, M. (eds.): Digital Transformation for a Sustainable Society in the 21st Century: 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Trondheim, Norway, September 18–20, 2019, Proceedings. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29374-1
Pedersen, A.B., Risius, M., Beck, R.: Blockchain decision path: “when to use blockchain?” – “which blockchain do you mean?”. MIS Q. Execut. 18(2), 24 (2019). https://pure.itu.dk/ws/files/83594249/MISQe_BC_in_the_Maritime_Shipping_Industry_Revision.pdf
Peters, G.W., Panayi, E.: Understanding modern banking ledgers through blockchain technologies: future of transaction processing and smart contracts on the internet of money. New Econ. Wind., 239–278 (2016). https://doi.org/10.1007/978-3-319-42448-4_13
Schletz, M., Franke, L., Salomo, S.: Blockchain application for the paris agreement carbon market mechanism – a decision framework and architecture. Sustainability 12(5069), 1–17 (2020). https://doi.org/10.3390/su12125069
Tang, M., Wang, S., Dai, C., Liu, Y.: Exploring CO2 mitigation pathway of local industries using a regional-based system dynamics model. Int. J. Inf. Manag. 52, 102079 (2020). https://doi.org/10.1016/j.ijinfomgt.2020.102079
Todts, W.: CO2 Emissions From Cars: the facts. Brussels (2018). https://www.transportenvironment.org/sites/te/files/publications/2018_04_CO2_emissions_cars_The_facts_report_final_0_0.pdf
Treiblmaier, H.: The impact of the blockchain on the supply chain: a theory-based research framework and a call for action. Supply Chain Manag. Int. J. 23(6), 545–559 (2018). https://doi.org/10.1108/SCM-01-2018-0029
UNFCCC. Paris Agreement, United Nations Framework Convention on Climate Change. 21st Conference of the Parties. Paris (2015). https://www.undocs.org/FCCC/CP/2015/L.9
Venable, J., Pries-Heje, J., Baskerville, R.: FEDS: a framework for evaluation in design science research. Eur. J. Inf. Syst. 25(1), 77–89 (2016). https://doi.org/10.1057/ejis.2014.36
Yu, G., Wang, X., Zha, X., Zhang, J.A., Liu, R.P.: An optimized round-robin scheduling of speakers for peers-to-peers-based byzantine faulty tolerance. In 2018 IEEE Globecom Workshops (GC Wkshps), pp. 1–6. IEEE (2018). https://doi.org/10.1109/GLOCOMW.2018.8644251
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Beck, R., Schletz, M., Baggio, A., Gentile, L. (2023). Distributed Ledger Technology for Collective Environmental Action. In: Younas, M., Awan, I., Benbernou, S., Petcu, D. (eds) The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023). Deep-BDB 2023. Lecture Notes in Networks and Systems, vol 768. Springer, Cham. https://doi.org/10.1007/978-3-031-42317-8_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-42317-8_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-42316-1
Online ISBN: 978-3-031-42317-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)