Abstract
Historically, the basic materials industry has had relatively low R&D expenditure levels, raising concerns about meeting 2050 climate targets given the crucial need for innovation and technology advancement in this industry. Decisive government intervention and active support for key technological pathways are required to address significant market failures and catalyse industrial decarbonisation. This Essay lays out the economic justification for an active green industrial policy and proposes key policy design principles, with the aim of striking a balance between facilitating the green industrial transition and maintaining cost efficiency in meeting climate targets.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
1 Introduction
Despite ongoing climate mitigation efforts, the realisation of net-zero greenhouse gas (GHG) emission targets represents a daunting task. Emissions associated with industrial processes, which amount to approximately one-third of the total global CO2 emissions, pose a particularly significant challenge. In recent decades, these emissions have grown, both in sheer volume and as a proportion of total emissions (Lamb et al. 2021; Bashmakov et al. 2022). The basic materials industry, here encompassing iron and steel, cement, and chemicals, is responsible for roughly 60 percent of these industrial emissions (Bashmakov et al. 2022). These industries are characterised by high resource and emissions intensities, large production units, long turnover times in capital stock, high investment costs and non-standardised process designs (Rissman et al. 2020; Bataille 2020). Production is primarily directed towards upstream markets and combined with other inputs before it reaches end consumers (Rootzén and Johnsson 2017). In addition, traditionally, the basic materials industry has invested relatively little in research and development (R&D) (Galindo-Rueda and Verger 2016). Figure 1 illustrates that this trend of relatively low R&D spending, compared with other industrial sectors, has continued in recent years and is present even in several of the most innovative countries. This pattern raises serious concerns, given the pivotal role of innovation and the advancement of technologies currently at the demonstration level in achieving the 2050 climate targets (IEA 2021). While there are a few near-zero carbon emissions industrial projects close to final investment decision or under construction, there exist, to date, no full-scale, fully built and operating near-zero emissions iron and steel, cement, or chemicals plants anywhere in the world (Bataille et al. 2024). Transforming the basic materials industry to net zero GHG emissions will require concurrent efforts towards improving resource efficiency, promoting circular flows and practices across value chains for basic materials, phasing out existing emission-intensive capital, and phasing-in new net-zero emission production capacity (Vogl et al. 2021; Bataille et al. 2018, Bataille et al. 2023). The objective of this Essay is to present the economic rationale for implementing green industrial policies in the basic materials industry, and to suggest strategies for designing policies that balance promoting the industrial transition with the achievement of climate goals in a cost-effective manner.
The need to accelerate the green transition in industry has been recognised by policy makers across the globe. This is exemplified by initiatives like the EU Innovation Fund, the EU Net-Zero Industry Act, the US Inflation Reduction Act, Japan’s Green Innovation Fund, and China’s 14th Five-Year Plan, which will together make billions of dollars available to stimulate innovation, demonstration, and investments in enabling technologies such as direct or indirect (via hydrogen) electrification processes, carbon capture and storage (CCS), and zero-emissions electricity supply (IEA 2023). On the surface, these types of policy interventions appear to run counter to conventional policy recommendations, which generally caution against favoring specific technological solutions for achieving decarbonisation goals (Jaffe et al. 2005; Juhász et al. 2023). However, such recommendations are based on models that disregard the specific market failures relevant to sectors such as the basic materials industry, which become particularly prevalent as more radical emission reductions are required. Acknowledging these market failures, this Essay commences with laying out the economic rationale for green industrial policy targeting the basic materials industry. Similar to the broader concept of industrial policy, there is no commonly accepted definition of what green industrial policy entails (Altenburg and Rodrik 2017). Here, we define green industrial policy as a policy that actively steers the transformation of the structure of domestic economic activity, and hence the technological pathways, of selected sectors or industries with the goal of achieving net-zero GHG emissions.Footnote 1 The targeted nature of green industrial policy distinguishes it from broad-based decarbonisation policies, such as carbon pricing, while the goal of net-zero GHG emissions differentiates it from traditional growth-oriented industrial policy.
The question whether or not governments should engage in active green industrial policy, has been the subject of extensive debate in the academic literature. For instance, Nilsson et al. (2021) argue for the pursuit of multiple policy strategies to support industry decarbonisation, Mazzucato et al. (2020) advocate for a mission-oriented approach in favor of desired societal goals, with a proactive role for the government in shaping markets, while Karlson et al. (2021) argue against such an ‘entrepreneurial state’, pointing at the limited empirical support for effective industrial and innovation policies. While the necessity of green industrial policy is increasingly recognised, many scholars remain hesitant due to the risks of rent-seeking, corruption, and misallocation of resources that can arise when governments attempt to steer economic development through targeted policies (see, e.g., Nahm and Urpelainen 2021 and Wen et al. 2021). In response, we seek to contribute by elaborating on the rationale for green industrial policy from an economics perspective, akin to Hallegatte et al. (2013) and Rodrik (2014). Next, acknowledging the reservations of many scholars, our analysis turns to the crucial question of how to effectively shape a green industrial policy in the coming decades, a key aspect highlighted in Aiginger and Rodrik (2020). We provide important considerations for policy design, articulated through three principles detailed in Section 3, which aim at balancing the enabling of a green industrial transition with cost efficiency. These principles could be relevant beyond the basic materials industries, and more broadly provide important insights into the debate on the appropriate equilibrium between government intervention and market forces.
2 Effective green industrial policy implies abandoning technology domain neutrality
The superiority of a policy approach that relies on multiple instruments to simultaneously address environmental and innovation market failures is well-established (e.g., Aldy et al. 2010; Acemoglu et al. 2012; Aghion et al. 2016). A critical decision policymakers subsequently face is whether to adopt technology-neutral or technology-specific strategies to accelerate the development and deployment of green technologies (Fabra and Montero 2023). Technology-neutral policies include broad-based policies, such as pricing environmental externalities through emissions taxes or emissions trading schemes, as well as general subsidies for R&D or technology deployment (Lehmann and Soderholm 2018).
Beyond creating the right incentives, technology-neutral policies allow markets to select technological pathways to achieve climate targets, promoting the development and deployment of the least costly technologies first. In contrast, technology-specific policies promote particular technological fields, sectors, or even individual projects through tailored support mechanisms, such as feed-in tariffs or targeted R&D subsidies.
Technology-neutral policies avoid several pitfalls of technology-specific policies. These include concerns that public support might crowd out private investments, that information asymmetries and lack of relevant expertise may lead policymakers to endorse mitigation strategies that either underperform or prove costlier than expected, and concerns about the risk of regulatory capture and increased lobbying by industry leaders. Yet, the promotion of technology-neutral policies rests on the assumption that market failures associated with the development and diffusion of technologies are absent or are properly addressed by other policies. However, such market failures are particularly prevalent in the basic materials industry, posing considerable barriers to the innovation and deployment of green technologies (Löfgren and Rootzén 2021).
First, innovation in the basic materials industry is highly path-dependent and can be expected to generate spillover effects (Aghion et al. 2016; Popp et al. 2019; Noll et al. 2023).For example, advancements in low-carbon steel production techniques, such as hydrogen-based direct reduction, build upon decades of research in metallurgical processes (Pei et al. 2020). Policy interventions to encourage investments in hydrogen-based direct reduction within one country can create first-mover advantages for national industry, while also contributing to reducing future costs and risks across the globe.
Second, investments in innovative low-carbon technologies within the basic materials industry depend on coordination among actors within the industries as well as along supply chains. Network effects — where the value of a technology increases as more market participants adopt it (Greaker and Midttømme 2016; Heijmans 2023) — can lead to technology lock-in, thereby hindering the adoption of new technologies. This is illustrated by the case of CCS, where a cement factory investing in carbon capture relies on other actors to invest in energy, transport, and storage infrastructure (Golombek et al. 2023). According to the International Energy Agency, attaining the necessary adoption of hydrogen and CCS mandates a significant increase in investments in supporting infrastructures (IEA 2021). The importance of supply chain coordination is further emphasised by Dugoua and Dumas (2021), who demonstrate that green innovation in industrial networks requires producers to coordinate with suppliers. Without such coordination, shared suppliers can become bottlenecks to green innovation. Importantly, Dugoua and Dumas (2021) show that when innovation is complementary across firms, price-based policies, such as carbon taxes, may not be sufficient to achieve deep industrial decarbonisation at the lowest cost.
Third, substantial financial barriers exist for investments in both existing and novel green technological pathways, as markets may be overly myopic and lack complete information about which technology will ultimately prevail (Nemet 2009; Armitage et al. 2024). For the basic materials industry, where capital intensity is high, project lead times are long, and where commodity and policy risks are significant, this means that private investors and lenders, in the absence of policy interventions, tend to be particularly hesitant. Cordonnier and Saygin (2023) describe how there is a general lack of tailored financing instruments to de-risk and improve the economic viability of industrial decarbonisation projects. They also describe how annual investments in new production plants compatible with net-zero pathways for chemicals, steel, cement and aluminium production is much too low to be consistent with net-zero pathways. They estimate that investments in such near zero production plants need to increase from USD 15 billion globally today to USD 70 billion by 2030 and USD 125 billion by 2050.
Overcoming these market failures requires targeted policies that involve selecting specific technologies. This implies that, contrary to the principles of technology-neutral policy, which advocates for policy that does not favor certain technologies, full technology neutrality will not be attainable, or even preferred. In this approach, carbon pricing would address the emissions externality, while targeted policies—such as targeted investment support and targeted R&D subsidies—would tackle the specific market failures that hinder innovation and the deployment of green technologies in the basic materials industry. These targeted interventions are crucial because market failures related to technology path-dependence, coordination, and financial barriers arise not only from insufficient market incentives, but also from uncertainties surrounding technological pathways. This underscores the need for government involvement in technology selection, making a strong case for a proactive and targeted green industrial policy.
But how should an active targeted green industrial policy be designed? We argue that such policy should identify and commit to what we term as ‘technology domains’. A technology domain, as we define it, is a broad technological pathway that enables a collection of specific technologies or, as we call them, ‘technology families’. To decarbonise the basic materials industry, there are a limited number of technology domains available to choose from. These domains include direct electrification, indirect electrifica tion (via hydrogen), biogenic carbon as a fuel and feedstock, carbon capture and storage, among others. These technology domains are not mutually exclusive, and may be combined. The successful implementation of these technologies requires parallel development of various interconnected technological systems and business models, along with corresponding modifications to regulatory frameworks and support systems. Figure 2 depicts several principal domains and corresponding examples of technology families pertinent to the decarbonisation of the basic materials industry. While green industrial policy can be designed to target specific technology domains, the development of certain markets and infrastructure, such as those that expand the supply of clean electricity, may benefit multiple domains. This interconnection is represented by the dotted arrows between the technology domains in Figure 2.
3 Technology family neutrality and market incentives remain key
As described above, green industrial policy must move away from technological neutrality as a guiding principle at the level of technology domains and instead actively support key technological pathways to achieve climate targets. Yet, the main pitfalls of industrial policy – failure to pick winners, influence of interest groups and potential crowding out of private investments – remain. While abstaining from active government intervention could circumvent these pitfalls, it could also risk a second type of error — underinvestment in technologies with the potential to substantially contribute to industrial decarbonisation.
We formulate three key principles that can guide policymakers in the design of effective green industrial policy for the basic materials industry, aimed at mitigating the pitfalls mentioned above:
Principle 1. Use experts to systematically and transparently identify pertinent market failures and select technology domains.
Requiring governments to provide documentation regarding the rationale for intervention enhances the likelihood of accurately selecting the right technology domains to support. Key market failures in the decarbonisation of the basic materials industry that justify targeted subsidies or regulatory interventions include technological spillovers, path-dependence in technology development, network effects, as well as financial and informational barriers. Targeted policies that focus on promoting specific technology domains are necessary to address these market failures. However, since selective support can be vulnerable to regulatory capture, ensuring transparency is essential to minimise the influence of special interest groups.
Principle 2. Maintain neutrality across technology families within supported technology domains.
Market actors hold more information than policy makers concerning effective solutions for emission reductions and their costs. To harness this information and keep the door open for possible future innovations, the government should maintain a level playing field within technology domains, avoiding support for specific technology families or tailored to individual firms. For instance, the government could steer its green industrial policy to specific technology domains (e.g. electrification) but make sure that selection processes treats competing firms and technology families within that domain equally.
Principle 3. Maintain and strengthen market-based climate policy instruments, such as carbon taxes and emissions trading, as the cornerstone of climate policy.
Market-based climate policy instruments are critical tools to leverage the private information held by firms and industries. They sustain incentives for cost-effective emission reductions (Lewis 1996; Ahlvik and Liski 2022), promote innovation in the most promising technological solutions and accelerate the uptake of such new technologies within technology domains (Ahlvik and Bijgaart 2024). Therefore, green industrial policy should supplement broad market-based climate policies, not replace them.
4 Reflections on U.S. and EU green industrial policy in light of the three principles
In recent years, green industrial policies have been increasingly debated and adopted in the world’s major economies (Juhász et al. 2022; Criscuolo et al. 2023). Below we offer some brief reflections on two of the most prominent green industrial policy packages implemented in recent years — the Inflation Reduction Act in the United States and the European Green Deal Industrial Plan — through the lens of our three principles. To provide context, we start with a concise description of the main elements of these green industrial policies.
Both the Inflation Reduction Act (IRA) and the Green Deal Industrial Plan are complex policy packages consisting of a broad range of climate provisions. The climate provisions of the IRA are primarily a combination of tax credits, grants, and loan programs with the aim of incentivising deployment of clean energy, innovation, and domestic manufacturing. The main focus of IRA is on promoting the energy transition through clean energy tax credits (either production-based credits or investment tax credits). Notably, by 2025 the credits will be technology neutral, creating a level playing field for technologies such as solar, wind, storage, hydrogen, carbon capture, and direct air capture (Bistline et al. 2023b). Compared to the subsidies to the power and transportation sector, the direct subsidies for innovation and the adoption of technologies specific to the industrial sector are still relatively scarce. The IRA earmarks only USD 5 billion out of a total of USD 392 billion for industrial decarbonisation (Bistline et al. 2023a). However, given the anticipated importance of both hydrogen and carbon capture technologies for the industrial sector, the overall subsidies to industry are likely larger, as these technologies are eligible for tax credits. In addition, there exist other programs that provide investment support and incentives that are complementary to the IRA tax credits. One example is the Infrastructure Investment and Jobs Act (IIJA), which supports hydrogen initiatives through USD 8 billion of support for hydrogen hubs (Krupnick and Bergman 2022). Finally, to encourage the domestic development of green industries, the IRA includes significant benefits for domestic production. This feature is internationally contentious, and has raised concerns about increased protectionism, which could negatively impact international trade and trigger global subsidy races (Kleimann et al. 2023). In March 2024, a first round of support targeting a range of industry decarbonisation projects was announced. The Industrial Demonstrations Program received USD 6.3 billion, combining funding from IIJA and the IRA, to support the advancement of transformational technologies across several basic material industries (e.g. steel, cement and petrochemicals) and across various technological families (U.S., Department of Energy 2024).
The Net-Zero Industry Act (NZIA) - a central pillar of the European Green Deal Industrial Plan - was adopted by the EU Council on 27 May, 2024. Often seen as the EU’s response to the IRA, the NZIA marks a shift from the EU’s previous focus on extensively subsidising early-stage innovation to supporting green technologies closer to commercialisation and accelerating the market penetration of strategic net-zero technologies. This shift makes EU industrial policy more similar to the IRA that has a strong emphasis on technology deployment. Kleimann et al. (2023) compare the extent of subsidies and find that, aside from renewable energy production where EU subsidies are higher, EU subsidies were generally comparable to those under the IRA.
The NZIA aims to accelerate the green transition and deplyoment of green technologies by simplifying approval processes, improving market access for strategic technologies, enhancing workforce skills, and coordinating member states’ efforts through the Net-Zero Europe Platform. The NZIA does not provide direct funding for strategic technologies at the EU level; rather, such support is anticipated to come from national policies implemented by member states and from sources like the EU Innovation Fund. The EU Innovation Fund is funded through sales of the EU Emission Trading Systems’ (EU ETS) emission allowances and the total funding thus depends on the development of the carbon price. At the current carbon price of EUR 75/tCO2, the 530 million allowances earmarked for the fund would make EUR 40 billion available from 2020 to 2030. The funding covers five areas: (i) energy intensive industries, (ii) renewable-energy technologies, (iii) CCS, (iv) energy storage, and (v) net-zero mobility and buildings (EC 2023). To date 124 projects have been rewarded EUR 6.7 billion. Almost half of the funding (EUR 3.2 billion) has so far been allocated to support investments in commercial demonstration of innovative zero-carbon and low-carbon technologies in the steel, cement and petrochemicals industries (EC 2024).
In relation to our Principles, it appears that, while not always explicitly framed in terms of market failures, several elements of both the IRA, along with complementary acts like the IIJA, and the NZIA are consistent with our first and second principles. While the direct support dedicated specifically for decarbonisation of basic materials industries is a smaller component of the IRA, industry actors can benefit also from tax credits for domain technologies such as CCS and hydrogen. In addition, there is an acknowledgement of coordination failures as important impediments to industrial decarbonisation, and provisions to overcome these coordination failures, such as in the case of hydrogen hubs in the IIJA. In the EU, the NZIA targets market failures beyond emission and knowledge externalities, such as the need for coordinated zero-emissions electricity supply, expanded grids, and a skilled labor force. Furthermore, NZIA defines strategic net-zero technologies and the EU Innovation Fund supports investments in strategic net-zero technology ecosystems. Interestingly, these technologies translate to technology domains in the case of the basic materials industry, and hence is generally aligned with our Principles 1 and 2. The NZIA also permits the granting of state aid to strategic net-zero technologies, thereby relaxing state-aid rules. This aims to make it easier for individual member states to subsidise these technologies, accelerate the green transition, and reduce investment uncertainty through clear objectives and monitoring mechanisms.
Regarding Principle 3, it can be noted that while the EU has implemented carbon pricing to incentivise industrial decarbonisation through the EU EU ETS since 2005, carbon pricing plays a more limited role in U.S. climate policy.Footnote 2 In the U.S., carbon pricing is primarily evident through cap-and-trade programs in a limited number of states, including California’s cap-and-trade program (since 2012), Washington’s cap-and-invest program (since 2023), and the Regional Greenhouse Gas Initiative (RGGI) covering 11 states and only the power sector (since 2009). An additional cap-and-invest initiative is expected to launch in New York State in 2025. However, it is important to note that the carbon prices in these programs are much lower than the social cost of carbon, which recent studies estimate to average well over 100 USD per tonne of CO2 (Hänsel et al. 2020; Rennert et al. 2022; Moore et al. 2024). As pointed out in Principle 3, policy makers should work to strengthen these broad market-based policy instruments.
5 Conclusions
This Essay lays out the economic rationale for an active green industrial policy targeting the basic materials industry. It puts forth three key policy design principles, with the aim of striking a balance between facilitating timely green industrial transition and maintaining cost efficiency. We advocate for the adoption of a green industrial policy that addresses pertinent market failures and actively supports crucial technological pathways (domains). This policy should ensure a level playing field within selected technology domains, while also employing market-based climate policy instruments to incentivise cost-effective GHG emissions reductions. As laid out above, active governmental involvement in the transition of the basic materials industry definitively comes with its potential pitfalls. However, inaction risk a second type of error — underinvestment in technologies with the potential to substantially contribute to industrial decarbonisation. Such policy error may be less visible, but not less costly. Decarbonising the global basic materials industry will be a complex task, therefore experimentation and continuous evaluation should be key components of policy implementation. Insights from economics, in conjunction with a broadened recognition of relevant barriers and market failures in the industrial sector, offer a strong foundation for successful and timely green industrial policy aimed at achieving carbon neutrality.
Data availability
Data underlying Fig. 1 are from publicly available databases as described in the figure caption.
Notes
However, it is important to note that the IRA include the first price on greenhouse gases at the federal level in the US: a charge on methane emissions that exceed specific thresholds at selected facilities in the oil and gas industry. The charge starts at USD 900 per metric ton of methane, increasing to USD 1,500 after two years (corresponding to USD 36 and USD 60 per metric ton of carbon dioxide equivalent, respectively).
References
Acemoglu D, Aghion P, Bursztyn L, Hemous D (2012) The environment and directed technical change. Am Econ Rev 102(1):131–166
Aghion P, Dechezleprêtre A, Hemous D, Martin R, Van Reenen J (2016) Carbon taxes, path dependency, and directed technical change: evidence from the auto industry. J Polit Econ 124(1):1–51
Ahlvik L, Liski M (2022) Global externalities, local policies, and firm selection. J Eur Econ Assoc 20(3):1231–1275
Ahlvik L, van den Bijgaart I (2024) Screening green innovation through carbon pricing. J Environ Econ Manag 124:102932
Aiginger K, Rodrik D (2020) Rebirth of industrial policy and an agenda for the twenty-first century. J Ind Compet Trade 20:189–207
Aldy JE, Krupnick AJ, Newell RG, Parry IWH, Pizer WA (2010) Designing climate mitigation policy. J Econ Lit 48(4):903–934
Altenburg T, Rodrik D (2017) Green industrial policy: Accelerating structural change towards wealthy green economies. In: Altenburg T, Assmann C (eds) Green Industrial Policy: Concept, Policies, Country Experiences, pp 1–20
Armitage S, Bakhtian N, Jaffe A (2024) Innovation market failures and the design of new climate policy instruments. Environ Energy Policy Econ 5(1):4–48
Bashmakov I, Nilsson L, Acquaye A, Bataille C, de la Cullen JS, du Can Rue, Fischedick M, Geng Y, Tanaka K (2022) Industry. Cambridge University Press Cambridge, UK and New York, NY, USA
Bataille C (2020) Physical and policy pathways to net-zero emissions industry. Wiley Interdiscip Rev Clim Change 11(2):e633
Bataille C, Stiebert S, Algers J, Li F, Alfare M (2024) Triggering investment in first-of-a-kind and early near-zero emissions industrial facilities. Report, Center on Global Energy Policy at Columbia University
Bataille C, Stiebert S, Hebeda O, Trollip H, McCall B, Vishwanathan SS (2023) Towards net-zero emissions concrete and steel in India, Brazil and South Africa. Climate Policy, pp 1–16
Bistline J, Mehrotra N, Wolfram C (2023a) Economic implications of the climate provisions of the Inflation Reduction Act. Working Paper 31267, National Bureau of Economic Research
Bistline JE, Brown M, Domeshek M, Marcy C, Roy N, Blanford G, Burtraw D, Farbes J, Fawcett A, Hamilton A et al (2023b) Power sector impacts of the inflation reduction act of 2022. Environ Res Lett 19(1):014013
Cordonnier J, Saygin D (2023) Financing solutions to foster industrial decarbonisation in emerging and developing economies. OECD Environment Working Papers, vol 226. pp 97
Criscuolo C, Díaz L, Lalanne G, Guillouet L, van de Put C-É, Weder C, Deutsch HZ (2023) Quantifying industrial strategies across nine oecd countries
Dugoua E, Dumas M (2021) Green product innovation in industrial networks: A theoretical model. J Environ Econ Manag 107:102420
EC (2023) Innovation Fund Progress Report 2022
EC (2024) Innovation Fund - Portfolio of signed projects
Fabra N, Montero J-P (2023) Technology-neutral versus technology-specific procurement. Econ J 133(650):669–705
Galindo-Rueda F, Verger F (2016) OECD taxonomy of economic activities based on R&D intensity. OECD Science, Technology and Industry Working Papers 4:24
Golombek R, Greaker M, Kverndokk S, Ma L (2023) Policies to promote carbon capture and storage technologies. Environ Resource Econ 85(1):267–302
Greaker M, Midttømme K (2016) Network effects and environmental externalities: Do clean technologies suffer from excess inertia? J Public Econ 143:27–38
Hallegatte S, Fay M, Vogt-Schilb A (2013) Green Industrial Policies: When and How. Policy Research Working Paper 6677
Hänsel MC, Drupp MA, Johansson DJ, Nesje F, Azar C, Freeman MC, Groom B, Sterner T (2020) Climate economics support for the un climate targets. Nat Clim Chang 10(8):781–789
Heijmans RJ (2023) Unraveling coordination problems. arXiv preprint arXiv:2307.08557
IEA (2021) Net Zero by 2050 - A Roadmap for the Global Energy Sector. https://www.iea.org/reports/net-zero-by-2050
IEA (2023) Energy Technology Perspectives 2023. License: CC BY 4.0
Jaffe AB, Newell RG, Stavins RN (2005) A tale of two market failures: Technology and environmental policy. Ecol Econ 54(2–3):164–174
Juhász R, Lane N, Oehlsen E, Pérez VC (2022) The who, what, when, and how of industrial policy: a text-based approach. https://doi.org/10.31235/osf.io/uyxh9
Juhász R, Lane NJ, Rodrik D (2023) The new economics of industrial policy. Working Paper 31538, National Bureau of Economic Research
Karlson N, Sandström C, Wennberg K (2021) Bureaucrats or markets in innovation policy?–a critique of the entrepreneurial state. Rev Austrian Economics 34:81–95
Kleimann D, Poitiers N, Sapir A, Tagliapietra S, Véron N, Veugelers R, Zettelmeyer J (2023) Green tech race? the us inflation reduction act and the eu net zero industry act. The World Economy 46(12):3420–3434
Krupnick A, Bergman A (2022) Incentives for clean hydrogen production in the inflation reduction act. Resources for the Future
Lamb WF, Wiedmann T, Pongratz J, Andrew R, Crippa M, Olivier JG, Wiedenhofer D, Mattioli G, Al Khourdajie A, House J et al (2021) A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018. Environ-Mental Research Letters 16(7):073005
Lehmann P, Soderholm P (2018) Can technology-specific deployment policies be cost-effective? the case of renewable energy support schemes. Environ Resource Econ 71:475–505
Lewis TR (1996) Protecting the environment when costs and benefits are privately known. The RAND J Economics, pp 819–847
Löfgren A, Rootzén J (2021) Brick by brick: governing industry decarbonization in the face of uncertainty and risk. Environ Innov Soc Trans 40:189–202
Mazzucato M, Kattel R, Ryan-Collins J (2020) Challenge-driven innovation policy: towards a new policy toolkit. J Ind Compet Trade 20:421–437
Moore FC, Drupp MA, Rising J, Dietz S, Rudik I, Wagner G (2024) Synthesis of evidence yields high social cost of carbon due to structural model variation and uncertainties. Working Paper 32544, National Bureau of Economic Research
Nahm J, Urpelainen J (2021) The enemy within? green industrial policy and stranded assets in china’s power sector. Glob Environ Politics 21(4):88–109
Nemet GF (2009) Demand-pull, technology-push, and government-led incentives for non-incremental technical change. Res Policy 38(5):700–709
Nilsson LJ, Bauer F, Åhman M, Andersson FN, Bataille C, de la Rue du Can S, Ericsson K, Hansen T, Johansson B, Lechtenböhmer S et al (2021) An industrial policy framework for transforming energy and emissions intensive industries towards zero emissions. Climate Policy 21(8):1053–1065
Noll B, Steffen B, Schmidt TS (2023) The effects of local interventions on global technological change through spillovers: A modeling framework and application to the road-freight sector. Proc Natl Acad Sci USA 120:e2215684120
Pei M, Petäjäniemi M, Regnell A, Wijk O (2020) Toward a fossil free future with hybrit: Development of iron and steelmaking technology in sweden and finland. Metals 10:972
Popp D et al (2019) Environmental policy and innovation: A decade of research. Int Rev Environ Resour Econ 13(3–4):265–337
Rennert K, Errickson F, Prest BC, Rennels L, Newell RG, Pizer W, Kingdon C, Wingenroth J, Cooke R, Parthum B et al (2022) Comprehensive evidence implies a higher social cost of CO2. Nature 610(7933):687–692
Rissman J, Bataille C, Masanet E, Aden N, Morrow WR, Zhou N, Elliott N, Dell R, Heeren N, Huckestein B, Cresko J, Miller SA, Roy J, Fennell P, Cremmins B, Koch Blank T, Hone D, Williams ED, de la Rue du Can S, Sisson B, Williams M, Katzenberger J, Burtraw D, Sethi G, Ping H, Danielson D, Lu H, Lorber T, Dinkel J, Helseth J (2020) Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070. Appl Energy 266:114848
Rodrik D (2014) Green industrial policy. Oxf Rev Econ Policy 30(3):469–491
Rootzén J, Johnsson F (2017) Managing the costs of CO2 abatement in the cement industry. Climate Policy 17(6):781–800
U.S. Department of Energy (2024). Industrial demonstrations program
Vogl V, Olsson O, Nykvist B (2021) Phasing out the blast furnace to meet global climate targets. Joule 5(10):2646–2662
Wen H, Lee C-C, Zhou F (2021) Green credit policy, credit allocation efficiency and upgrade of energy-intensive enterprises. Energy Econ 94:105099
Acknowledgements
The authors gratefully acknowledge financial support from Formas, a Swedish Research Council for Sustainable Development [Dnr: 2020-00174] and the Mistra Carbon Exit Research Program.
Funding
Open access funding provided by University of Gothenburg. The authors acknowledge financial support from Formas, a Swedish Research Council for Sustainable Development [Dnr: 2020–00174] and the Mistra Carbon Exit Research Program.
Author information
Authors and Affiliations
Contributions
Åsa Löfgren: contributed to the conceptualization of the Essay, the drafting and writing of the manuscript, and the creation and analysis of the content, Lassi Ahlvik: contributed to the conceptualization of the Essay, the drafting and writing of the manuscript, and the creation and analysis of the content, Inge van den Bijgaart: contributed to the conceptualization of the Essay, the drafting and writing of the manuscript, and the creation and analysis of the content, Jessica Coria: contributed to the conceptualization of the Essay, the drafting and writing of the manuscript, and the creation and analysis of the content, Jūratė Jaraitė: contributed to the conceptualization of the Essay, the drafting and writing of the manuscript, and the creation and analysis of the content, Filip Johnsson: contributed to the conceptualization of the Essay, the drafting of the manuscript, and the creation and analysis of the content and Johan Rootzén: contributed to the conceptualization of the Essay, the drafting and writing of the manuscript, and the creation and analysis of the content.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable
Consent for publication
All authors have reviewed the final version of the manuscript and consent to its publication.
Competing interests
The authors declare that they have no known competing interests or personal relationships that could appear to have influenced the work reported in this Essay.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Löfgren, Å., Ahlvik, L., van den Bijgaart, I. et al. Green industrial policy for climate action in the basic materials industry. Climatic Change 177, 147 (2024). https://doi.org/10.1007/s10584-024-03801-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10584-024-03801-7