Cited by 19Electric Vehicles and InfrastructureClimate Change Policy and EconomicsInnovation Diffusion and Forecasting

The DOI matches its Crossref record; the references it cites are not checked yet.

Coordination dynamics between fuel cell and battery technologies in the transition to clean cars

Open access
Dugoua, Eugenie, Dumas, Marion·2024·Proceedings of the National Academy of Sciences

Abstract

Significant progress reconciling economic activities with a stable climate requires radical and rapid technological change in multiple sectors. Here, we study the case of the automotive industry’s transition to electric vehicles, which involved choosing between two different technologies: fuel cell electric vehicles (FCEVs) or battery electric vehicles (BEVs). We know very little about the role that such technological uncertainty plays in shaping the strategies of firms, the efficacy of technological and climate policies, and the speed of technological transitions. Here, we explain that the choice between these two technologies posed a global and multisectoral coordination game, due to technological complementarities and the global organization of the industry’s markets and supply chains. We use data on patents, supply-chain relationships, and national policies to document historical trends and industry dynamics for these two technologies. While the industry initially focused on FCEVs, around 2008, the technological paradigm shifted to BEVs. National-level policies had a limited ability to coordinate global players around a type of clean car technology. Instead, exogenous innovation spillovers from outside the automotive sector played a critical role in solving this coordination game in favor of BEVs. Our results suggest that global and cross-sectoral technology policies may be needed to accelerate low-carbon technological change in other sectors, such as shipping or aviation. This enriches the existing theoretical paradigm, which ignores the scale of interdependencies between technologies and firms.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.2318605121

Cites

Statistics

Figures

Fig. 1. Clean car development as a global coordination game. Panel (A) illustrates that road transport systems based on FCEVs and BEVs require very different sets of complements. Panel (B) shows the global tier-1 supplier network for the ten largest carmakers. Green nodes are carmakers; white nodes are suppliers; their size is proportional to the number of links to carmakers. Panel (C) makes predictions about the scale of coordination needed to enable investments in a radically new technology based on the extent of two critical factors: technological complementarities and the degree of market integration.
Fig. 1. Clean car development as a global coordination game. Panel (A) illustrates that road transport systems based on FCEVs and BEVs require very different sets of complements. Panel (B) shows the global tier-1 supplier network for the ten largest carmakers. Green nodes are carmakers; white nodes are suppliers; their size is proportional to the number of links to carmakers. Panel (C) makes predictions about the scale of coordination needed to enable investments in a radically new technology based on the extent of two critical factors: technological complementarities and the degree of market integration.CC BY-NC-ND · PubMed Central
Fig. 2. Carmakers’ patenting trends: the decline of fuel cells in favor of batteries. Panel (A) plots the number of patent families, filed by at least one carmaker, related to battery or fuel cell technology over time. Panel (B) plots, for each carmaker, the difference between battery and fuel cell patent shares within carmakers’ clean car patent portfolio. The carmakers with the most substantial clean car patent output are highlighted, alongside newcomers Tesla and Chery.
Fig. 2. Carmakers’ patenting trends: the decline of fuel cells in favor of batteries. Panel (A) plots the number of patent families, filed by at least one carmaker, related to battery or fuel cell technology over time. Panel (B) plots, for each carmaker, the difference between battery and fuel cell patent shares within carmakers’ clean car patent portfolio. The carmakers with the most substantial clean car patent output are highlighted, alongside newcomers Tesla and Chery.CC BY-NC-ND · PubMed Central
Fig. 3. Policy support for fuel cells vs. battery. Panels (A) and (B) display the history of strategic orientations and public RD&D funding related to clean vehicles by country over time. The gaps in A represent periods without explicit policies on alternative vehicle technology. For instance, during the Trump administration years in the United States, we did not identify any such policies. The Left panel on B shows public RD&D funding for fuel cells and hydrogen, while the Right panel shows data for electric energy storage. Panel (C) displays trends in patenting and policy exposure for the average carmaker.
Fig. 3. Policy support for fuel cells vs. battery. Panels (A) and (B) display the history of strategic orientations and public RD&D funding related to clean vehicles by country over time. The gaps in A represent periods without explicit policies on alternative vehicle technology. For instance, during the Trump administration years in the United States, we did not identify any such policies. The Left panel on B shows public RD&D funding for fuel cells and hydrogen, while the Right panel shows data for electric energy storage. Panel (C) displays trends in patenting and policy exposure for the average carmaker.CC BY-NC-ND · PubMed Central
Fig. 4. Cross-sectoral spillovers and greening of the supply chain. The figures illustrate the role and importance of cross-sectoral spillovers for innovation on fuel cells and battery technologies. Panel (A) overlays patenting trends outside the car industry and information on the evolution of fuel cells and battery costs over time. We classify patents according to the industry of the filing firm. Panel (B) examines patenting trends for “active” suppliers–those with a documented supply relationship with a carmaker in year t. Panel (C), on the other hand, shows the average stock of battery and fuel cell patents for preexisting suppliers and new suppliers, i.e., suppliers that form a link to a carmaker which was not observed before.
Fig. 4. Cross-sectoral spillovers and greening of the supply chain. The figures illustrate the role and importance of cross-sectoral spillovers for innovation on fuel cells and battery technologies. Panel (A) overlays patenting trends outside the car industry and information on the evolution of fuel cells and battery costs over time. We classify patents according to the industry of the filing firm. Panel (B) examines patenting trends for “active” suppliers–those with a documented supply relationship with a carmaker in year t. Panel (C), on the other hand, shows the average stock of battery and fuel cell patents for preexisting suppliers and new suppliers, i.e., suppliers that form a link to a carmaker which was not observed before.CC BY-NC-ND · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

References 68 · Cited by 19

Research works printed but not linked: 49

  1. 10.1086/261641 · DOI · Paper page
  2. 10.1016/0022-1996(95)01386-5 · DOI
  3. N. Stern, J. E. Stiglitz, The Social Cost of Carbon, Risk, Distribution, Market Failures: An Alternative Approach (National Bureau of Economic Research, Cambridge, MA, 2021), vol. 15.
  4. 10.1016/0167-2681(92)90050-L · DOI
  5. 10.1016/j.enpol.2018.04.015 · DOI
  6. 10.1016/j.enpol.2018.08.015 · DOI
  7. 10.1016/j.jedc.2018.10.006 · DOI
  8. 10.1073/pnas.1613559113 · DOI
  9. A. Pichler F. Lafond J. D. Farmer Technological interdependencies predict innovation dynamics. arXiv [Preprint] (2020). https://arxiv.org/abs/2003.00580 (Accessed 10 October 2023). · DOI
  10. 10.1016/j.techfore.2015.07.003 · DOI
  11. 10.1038/nenergy.2016.13 · DOI
  12. 10.1017/mor.2018.33 · DOI
  13. 10.1016/j.respol.2018.08.006 · DOI
  14. 10.1257/aer.102.1.131 · DOI
  15. 10.1086/684581 · DOI · Paper page
  16. R. Henderson R. G. Newell “Accelerating energy innovation: Insights from multiple sectors” (Tech. Rep. No. 16529 2010). · DOI
  17. 10.1016/j.jeem.2007.11.001 · DOI · Paper page
  18. 10.1561/101.00000111 · DOI
  19. 10.4324/9780367136604 · DOI
  20. 10.5547/ISSN0195-6574-EJ-Vol30-No4-2 · DOI
  21. 10.1016/j.respol.2022.104558 · DOI
  22. 10.1016/j.respol.2013.02.003 · DOI
  23. M. Gregoire-Zawilski D. Popp “Do technology standards induce innovation in environmental technologies when coordination is important?” (Working Paper No. 30872 2023). · DOI
  24. 10.1126/science.1250193 · DOI
  25. 10.1146/annurev.environ.33.032806.134935 · DOI
  26. 10.1109/JPROC.2007.892489 · DOI · Paper page
  27. 10.7551/mitpress/2366.001.0001 · DOI · Paper page
  28. 10.1002/smj.460 · DOI
  29. 10.1257/jep.12.4.31 · DOI
  30. 10.1257/jep.28.2.99 · DOI
  31. 10.1287/orsc.1090.0493 · DOI
  32. 10.1017/S0022050700007993 · DOI
  33. 10.2307/2393511 · DOI · Paper page
  34. 10.2307/41165984 · DOI
  35. 10.1016/j.jeem.2021.102420 · DOI
  36. 10.1016/j.jclepro.2010.09.015 · DOI
  37. 10.1017/mor.2018.32 · DOI
  38. 10.2307/2234208 · DOI · Paper page
  39. 10.2307/2555589 · DOI
  40. 10.1086/450399 · DOI
  41. 10.1073/pnas.1604989113 · DOI
  42. D. G. Victor, C. F. Sabel, Fixing the Climate: Strategies for an Uncertain World (Princeton University Press, 2022).
  43. 10.1007/s10640-009-9309-1 · DOI
  44. 10.1016/j.enpol.2011.07.052 · DOI
  45. D. Popp J. Pless I. Hascic N. Johnstone “Innovation and entrepreneurship in the energy sector” in The Role of Innovation and Entrepreneurship in Economic Growth M. J. Andrews A. Chatterji J. Lerner S. Stern Eds. (University of Chicago Press 2020).
  46. B. H. Hall, A. Jaffe, M. Trajtenberg, Market value and patent citations. RAND J. Econ. 36, 16–38 (2005).
  47. 10.2307/2118401 · DOI
  48. International Energy Agency, Energy Technology RD&D Budgets Database 1974–2022 (International Energy Agency, 2022).
  49. 10.1002/wcc.734 · DOI

Metadata

Authors
Dugoua, E., & Dumas, M.
Affiliations
  • Ifo Institute for Economic Research (DE)
  • London School of Economics and Political Science (GB)
Corresponding author
  • Dugoua, Eugenie
  • Dumas, Marion
Venue
Proceedings of the National Academy of Sciences
Published
2024-06-24
Volume
121
Issue
27
Pages
e2318605121-e2318605121
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W4399985355
Cited by
19
References
68
Citations by year
2026: 8 · 2025: 7 · 2024: 4
FWCI
1.89
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
  • SSRN Electronic Journal (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • UKRI | Economic and Social Research Council (ES/R009708/1)
  • Alfred P. Sloan Foundation (G-2019-12323.)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
Keywords
fuel cell vehicles, battery electric vehicles, electric vehicle transition, coordination games, technology complementarity, technological uncertainty, innovation spillovers, automotive industry, supply chain, patents, climate policy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Coordination dynamics between fuel cell and battery technologies in the transition to clean cars. https://app.cochat.ai/papers/10.1073/pnas.2318605121
The paper
Dugoua, E., & Dumas, M. (2024). Coordination dynamics between fuel cell and battery technologies in the transition to clean cars. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2318605121