Chapter 3: The Dual Carbon Context: Policy Architecture, Carbon Pricing, and the New Competitive Landscape
On a Tuesday morning in March 2021, a procurement manager at a furniture components factory in Shunde opened her email to find a document she had never seen: a carbon footprint questionnaire from a European retail chain. It asked for scope 1 and scope 2 emissions for the previous three years, disaggregated by production line, with third-party verification inside ninety days. The factory had supplied that chain for eleven years. Nobody in the building knew how to answer the first question.
She forwarded it to the finance director, who forwarded it to the environmental bureau contact, who suggested she find a consultant. By the verification deadline the factory had spent RMB 180,000 on consultants and software and had produced an estimate the retailer's auditors accepted with reservations. The next season the same questionnaire arrived with a supplier scorecard attached. Factories scoring below a threshold went onto a "development plan," which is retailer language for probation before delisting.
That email is the entry point to a structural shift. The dual carbon goals—peak carbon before 2030, neutrality before 2060—reorganized the price signals and reporting requirements governing how Chinese manufacturers participate in global value chains. The Shunde manager did not meet the goals as national policy. She met them as a questionnaire with a deadline. This chapter follows the path from one to the other: from the September 2020 announcement to the carbon pricing mechanisms operating now, and from those mechanisms to the competitive landscape firms across factor intensities have to navigate.
3.1 Policy Architecture of Dual Carbon Goals
3.1.1 The Announcement and Its Institutional Context
On September 22, 2020, Xi Jinping told the UN General Assembly that China would peak carbon dioxide emissions before 2030 and achieve carbon neutrality before 2060. The commitment ran to two sentences in a speech otherwise devoted to multilateralism and pandemic response. Within months, 双碳 (shuang tan, "dual carbon") had entered the working vocabulary of every provincial development and reform commission and every state-owned enterprise board in the country.
The 2060 date matters because of the arithmetic behind it. China emitted roughly 11.5 billion tonnes of CO2 in 2021, about 30 percent of the global total. The 2060 target leaves a thirty-year window from peak to neutrality; European economies have allowed themselves forty to fifty years. Assets built in the 2020s will still be operating in the 2050s, so the capital stock installed this decade largely determines whether the target is reachable. The International Energy Agency's net-zero scenario work reaches the same conclusion from the other direction: a thirty-year transition requires that nearly all capacity added after 2030 be near-zero-carbon, which requires investment signals today to point that way.
The 2020 pledge tightened an earlier commitment. China's first Nationally Determined Contribution under the Paris Agreement, submitted in 2015, promised to peak "around 2030" and cut carbon intensity 60 to 65 percent from 2005 levels by 2030. Moving the peak to "before 2030" shortens the assumed payback window for coal-fired assets built in 2025. A plant with a thirty-year operating horizon now has to assume the carbon price it faces in 2040 will be materially higher than today's.
Authority over climate policy was scattered across the National Development and Reform Commission (NDRC), the Ministry of Ecology and Environment (MEE), the Ministry of Industry and Information Technology (MIIT), the National Energy Administration, and provincial governments. No single agency owned the 2060 target, and its implications cut across every sector. The coordination problem produced the "1+N" framework, outlined in 2021 and elaborated through 2022 and 2023.
3.1.2 The "1+N" Framework: Architecture and Logic
The "1" is the guiding document: the "Opinions of the Central Committee of the Communist Party of China and the State Council on Completing the Work of Carbon Peaking and Carbon Neutrality in a Comprehensive and Accurate Manner," issued in September 2021. The "N" is a set of sectoral and thematic implementation plans—energy, industry, transport, construction, agriculture, finance, science and technology—plus thirty-one provincial plans. By the end of 2022 the NDRC counted more than twenty sectoral plans alongside the provincial ones.
Three features of this architecture shape firm behavior. It is target-based rather than instrument-based: the framework sets aggregate goals (peak before 2030, carbon intensity reductions, non-fossil energy shares) and allocates responsibility, but it does not prescribe the instruments through which firms will be regulated. Those emerge from sectoral plans and from separate processes, notably the emissions trading system. A furniture manufacturer knows the construction sector plan calls for green building materials; the standard that will govern her product is written elsewhere, on a timetable she cannot see.
The framework is also hierarchical in a way that creates both accountability and discretion. Provinces receive carbon intensity targets and are evaluated against them, but they decide how to allocate burdens locally. Guangdong and Hebei have different industrial structures, different carbon targets, and different relationships between government and industry, so an otherwise identical factory faces a different regulatory environment in each. Chapter 9 takes up this variation; here the point is that the central commitment is refracted through provincial priorities before it reaches a factory floor.
Finally, the framework is tied explicitly to industrial policy. The MIIT industrial plan, issued in 2022, calls for "green and low-carbon transformation of industry" and names steel, nonferrous metals, petrochemicals, and building materials as sectors where process substitution and efficiency improvements should cut emissions while output holds. The energy plan implies a large build-out of wind and solar. The construction plan's green building standards ripple through supply chains for materials, components, and finishes. For a manufacturer, the framework arrives as a portfolio of sectoral signals, some bearing on its own operations and some on its customers and suppliers.
The reliance on administrative targets rather than market instruments has drawn criticism, and the criticism has force. Target-based systems can produce ratchet effects: local officials facing evaluation pressure resort to campaign-style enforcement—temporary shutdowns, production caps—that disrupt operations without producing durable reductions. The phenomenon, 运动式治理 (sport-style governance), appeared during the 2021 energy-intensity campaigns, when several provinces responding to shortfalls in energy consumption targets ordered factories to curtail production in the final months of the year. The central government issued guidance discouraging the practice. The incentive structure that produced it remains: officials are evaluated on target achievement, and administrative measures are the fastest route when market instruments are immature.
What the framework changed for firms is the information environment. Before the dual carbon goals, carbon was peripheral for most manufacturers, a matter of pollution compliance rather than a strategic variable. After the framework, carbon sits inside the planning documents that shape credit allocation, land use approvals, energy access, and industrial park admissions. A factory seeking to expand capacity must show the expansion is consistent with the local carbon plan. A firm seeking green financing must show its project fits the eligible catalog. Carbon has become a condition of doing business even where it has not yet become expensive.
3.1.3 Sectoral Plans and the Translation Problem
The sectoral plans vary widely in specificity and in what they imply for firm behavior. The energy plan matters most for the overall trajectory: power generation is the largest emitting sector, and the plan calls for non-fossil energy to reach about 25 percent of primary energy consumption by 2030 and for a new power system in which renewables dominate. The implications for manufacturers are indirect. The carbon intensity of purchased electricity will decline, so the scope 2 emissions attributable to a unit of production fall even if the firm does nothing. That matters for export competitiveness because it changes the carbon footprint embedded in Chinese products, which is what border adjustment mechanisms measure.
The industrial plan bears directly on the firms this book studies. It names six sectors—steel, nonferrous metals, petrochemicals, building materials, textiles, and light industry—as priorities for green transformation. Light industry includes furniture. The plan calls for "accelerating the green transformation of light industry" through energy efficiency standards, cleaner production audits, and green design promotion. For a furniture manufacturer these translate into energy audits for facilities above a size threshold, compliance with volatile organic compound (VOC) standards for coatings and adhesives, and participation in extended producer responsibility schemes where they exist. Most of these are pollution and efficiency requirements with carbon co-benefits rather than carbon requirements as such. They build the administrative infrastructure—the audits, the reporting, the inspections—through which carbon requirements will later be enforced.
The construction plan reaches furniture makers through demand. Green building standards cover a growing share of new construction and typically include requirements for low-emission materials and, in some cases, for the carbon footprint of building components. A manufacturer supplying office fit-outs or built-in cabinetry for green-certified buildings may find its products subject to carbon disclosure requirements that do not apply in unregulated channels. Green certification still covers a minority of new construction in China. The demand signal is concentrated in commercial and institutional segments, which is where margins are highest.
The finance plan may matter most in the near term. The People's Bank of China has built a green finance taxonomy and used relending facilities to channel credit toward green projects. The result is a two-tier credit market: firms with credible green credentials borrow more cheaply, and firms without them face higher costs or rationing. The differential is not yet decisive for survival, but it moves investment decisions. A furniture manufacturer weighing a low-VOC coating line faces a lower cost of capital than it would have five years ago, because the green loan facility offers a discount the standard commercial loan does not.
The gap between the central commitment and the specific requirement facing a firm is where most of the uncertainty lives. The goals are clear at the level of aggregate targets and sectoral priorities. They are opaque at the level of the standard, the deadline, and the enforcement mechanism. A factory manager in Shunde knows the government is serious about carbon. She does not know whether next year's questionnaire will ask for scope 3 emissions, whether the environmental bureau will require an energy audit this year or next, or whether green building standards will eventually cover her product category. That uncertainty is structural, not incidental: a system that sets targets centrally and implements them through layered plans will always produce it. Firms adapt by building the capacity to respond to requirements as they emerge. The architecture creates demand for that capacity without specifying its content.
3.1.4 Local Government and the Variation Problem
Provincial and municipal governments implement the dual carbon goals. They receive targets, allocate them among local firms and sectors, and enforce through a mix of administrative measures, financial incentives, and negotiated agreements. Variation across provinces is substantial and tracks industrial structure, fiscal capacity, and political priority.
Guangdong, where the Shunde cluster sits, has moved faster than most. The province's carbon peak action plan, issued in 2022, calls for peaking before 2025, five years ahead of the national target, with sector-specific energy and carbon intensity targets. The early date reflects industrial structure: light manufacturing and services dominate, and they are less carbon-intensive than the heavy industry of Hebei or Shanxi. Peaking early is easier for Guangdong, and the province has used the target to brand itself as a green manufacturing base, pulling investment in electric vehicles, solar equipment, and efficient appliances.
Zhejiang took a different route. Its dual carbon digital platform, launched in 2021, estimates facility-level emissions from satellite data and ground sensors and flags efficiency opportunities. The platform is an experiment in using digital tools to loosen the information constraint that has limited local enforcement. Early evidence suggests it improved the accuracy of emissions estimates and let officials target inspections better. Coverage remains partial and integration with formal enforcement is incomplete.
Variation changes the cost of compliance and the availability of support. A Guangdong factory that invests in efficient equipment may qualify for provincial subsidies unavailable in provinces with tighter budgets. A Hebei factory facing strict enforcement of emissions limits may carry higher compliance costs than a Guangdong competitor making the same product. That is a competitive distortion inside China, and it is one reason the national ETS, which applies uniformly to covered sectors, is seen as a leveling device.
Variation also conditions the book's argument about green governance capability. Firms in provinces with aggressive targets and generous support face a higher expected return on investment in green systems than firms in provinces with lax enforcement. What differs is the payoff to capability, not the capability itself. Chapter 9 examines how cluster institutions mediate this. For now: local governments are active interpreters of the dual carbon goals, and their interpretations shape the landscape firms compete in.
3.1.5 What the Architecture Does Not Do
The framework is ambitious and incomplete in ways that bear on firms. It does not establish a comprehensive carbon price. The ETS covers the power sector and part of heavy industry; transport, buildings, agriculture, and most of light manufacturing sit outside it. Firms outside the ETS face carbon-related costs through energy prices, environmental regulation, and supply chain requirements, but no direct carbon price. The consequence is uneven embedded carbon costs: a tonne of steel from an ETS-covered mill carries a carbon cost that a tonne of furniture from an uncovered workshop does not, though both embody emissions.
It does not resolve measurement. Firm-level carbon accounting remains inconsistent and verification infrastructure is thin. The national market's monitoring, reporting, and verification (MRV) system covers only ETS facilities, and even there the quality of reported data has been questioned. Firms outside the ETS facing customer or local government requirements rely on self-reported data or on consultants whose methods vary. The problem is global, but its persistence limits the architecture's reach and leaves room for greenwashing.
It does not specify who pays. The transition requires large investment in clean energy, industrial retrofits, and infrastructure, financed through public spending, private capital, and higher prices for energy and carbon-intensive goods. Which firms bear the costs, which regions capture the investment, which workers are displaced—none of this is settled in the framework documents. It is left to the political process, which means it is contested.
These gaps are features of an architecture still under construction. The dual carbon goals are a commitment, not a finished policy. For firms the implication is that the environment will keep moving toward broader pricing, tighter measurement, and explicit distributional choices. Firms that build capability now will adapt more cheaply as it fills in.
3.2 Carbon Pricing and Emissions Trading
3.2.1 The Logic of Carbon Pricing and Its Limits
Carbon pricing is the instrument economists recommend most consistently for cutting emissions. If the price of emitting reflects the damage, firms and households internalize the cost and adjust. A carbon tax fixes the price and lets the market set quantity; an emissions trading system fixes the quantity and lets the market set price. The choice is about which uncertainty you can tolerate.
The theoretical case assumes firms respond to price by investing in abatement when abatement costs less than the price. That holds in the long run and is complicated in the short run by capital intensity, irreversibility, non-price barriers such as information and organizational inertia, and interactions with other policies. The measured record is real but modest. The European Union's Emissions Trading System, running since 2005, is the most-studied case. Its first phase (2005–2007) over-allocated allowances and the price collapsed to near zero. The second phase (2008–2012) tightened the cap, then the financial crisis cut emissions and left a surplus that depressed the price. The third phase (2013–2020) introduced the market stability reserve to absorb surplus, and the price recovered. In the fourth phase the price has run above EUR 80 per tonne at times, high enough to move investment decisions in power and some heavy industry.
Four lessons carry over. Cap-setting is politically hard, and governments reluctant to impose costs on industry tend to over-allocate. Price stability matters, because a volatile price is a weak investment signal. Carbon pricing works better inside a package that includes innovation support and infrastructure spending. And distributional effects are large enough that they must be managed politically: the EU compensates energy-intensive trade-exposed sectors with free allocation and funds low-carbon innovation and transition costs.
China's system followed a different path. It was built incrementally, through local pilots that began in 2013 in Beijing, Tianjin, Shanghai, Chongqing, Hubei, Guangdong, and Shenzhen, and a national system that launched in July 2021. The pilots tested designs; the national system borrowed from them and from the EU's mistakes.
3.2.2 The Design of China's National ETS
The national ETS launched with the power sector, which accounts for roughly 40 percent of China's emissions, and about 2,200 covered firms. The first compliance cycle covered 2019 and 2020 emissions. Allocation was free, benchmarked by fuel type and technology, with provisions for banking and borrowing. The price opened around RMB 40 to 50 per tonne and has since traded in the RMB 70 to 90 range, well below the EU.
Allocation is output-based rather than historical. Firms receive allowances according to output and a benchmark reflecting the emissions intensity of the best performers in their category. The design addresses competitiveness: it rewards efficient production and does not penalize growth, which matters in an economy where output is still expanding in many sectors. Firms that beat the benchmark can sell surplus allowances.
The system combines free allocation with a small auction share—under 3 percent initially—and has raised that share cautiously, citing cost impacts on covered firms and the administrative complexity of auctioning. The EU's experience shows auctioning can generate revenue for the transition and also generates political opposition from covered firms. China's system has prioritized stability over revenue in its early years.
MRV remains the weak point. Reported emissions data quality has been a concern; the government has introduced third-party verification requirements and penalties for misreporting. Data quality varies across firms and sectors, and the system's effectiveness rests on the credibility of the numbers. If the data are not credible, the price signal is not credible.
Coverage is expanding. Steel, cement, aluminum, and other energy-intensive sectors are being added in phases, each after a preparation period of data collection, benchmarking, and capacity building. Full expansion would take coverage from roughly 40 percent of national emissions to perhaps 70 percent, which would make this the largest carbon market in the world by covered emissions.
The price level is contested. At RMB 70 to 90 per tonne it influences some decisions and does not yet drive the transformation the goals require. The price follows from the cap, the allocation, and offset availability, each of which is politically negotiated. The government has signaled it will tighten the cap and cut free allocation over time. The pace is uncertain, and the uncertainty itself enters investment decisions: a firm weighing a low-carbon asset needs the expected price over the asset's life, not today's price, and the expected price depends on choices not yet made.
3.2.3 The Effectiveness Question
How effective is the ETS? The system is young and its effects are entangled with other policies, so any answer carries caveats. Four bodies of evidence are available.
Covered firms behave differently from uncovered ones. Zhang, Wang, and Liu (2022), studying the pilots, found that covered firms cut emissions intensity relative to uncovered firms, with the reductions concentrated among firms facing lower abatement costs. The national system's early years show a similar pattern: covered firms report reductions, larger where allowance prices were higher. The direction matches theory; the magnitude is modest, reflecting a low price and limited short-run abatement options in power.
The innovation channel is weaker than theory predicts. Studies of the EU ETS find innovation effects concentrated in firms that already had strong technical capabilities; Calel and Dechezleprêtre (2016) found a measurable but narrow increase in low-carbon patenting among regulated firms. Chinese evidence is thinner and points the same way: firms with stronger technical staff respond to price by investing in abatement; firms without it absorb the cost or cut output.
The fuel-mix effect is hard to isolate. China's renewable build-out is driven by subsidies, mandates, and grid priority, not primarily by the carbon price. Power-sector emissions have continued to rise in absolute terms even as the emissions intensity of electricity falls, because demand grows faster than the non-fossil share. The carbon price may be reinforcing the mandates at the margin. It is not the main driver.
The institutional effect may be the largest. The ETS created carbon asset management departments inside covered firms, verification bodies, trading platforms, and regulatory units. These are the operating infrastructure of a low-carbon economy, and the firms that built carbon management capacity for the ETS are the ones now answering retailer questionnaires and CBAM data requests. In the early years, the capability-building effect probably exceeds the direct emissions effect.
Comparisons with the EU flatter the EU and miss context. The EU system operates in an economy with flat or falling emissions, where the cap can tighten without squeezing growing industries. China's system operates where output is still expanding in many sectors, and the cap must accommodate growth while cutting intensity. Output-based allocation is built for that context. Critics say it weakens the price signal and lets firms avoid the full cost of their emissions. Defenders call it a pragmatic compromise that got the system launched. The argument will run as long as the system does.
3.2.4 Carbon Pricing Beyond the ETS
The ETS is the visible carbon price in China. Several other mechanisms impose carbon-related costs, and together they exceed the ETS alone.
Energy prices come first. Electricity tariffs are regulated and have historically sat below the cost of supply, particularly for industrial users. Time-of-use pricing now charges more for peak consumption, and some industrial users buy power through direct contracts with generators. The effect is partial exposure to marginal supply cost, which includes fuel and the allowance cost of covered generators. The exposure is uneven and growing.
Environmental regulation imposes costs related to carbon without pricing it. The VOC standards that apply to furniture makers require coating and ventilation investments that cut both VOCs and CO2. The equipment cost is a de facto carbon cost with a different label. Energy efficiency standards work the same way: firms must meet minimum performance levels, which means buying equipment that consumes less.
Subnational experiments add a layer. Guangdong's pilot covers more than 200 firms in cement, steel, paper, and other sectors, and its price has run above the national one. The pilots are small next to the national system, but they generate evidence about how pricing works sector by sector and set precedents for expansion.
A Chinese firm's effective carbon cost therefore depends on its energy mix, its location, its sector, and its exposure to environmental rules. Two firms making the same product can face different effective costs, and the gap can be wide enough to matter for relative competitiveness. Every economy with a mix of pricing and regulation has this distortion. It matters more here because it feeds directly into the carbon cost embedded in exports.
3.2.5 The Carbon Price Trajectory and Its Uncertainty
The future path of China's carbon price is uncertain, and firms have to manage the uncertainty itself. The government has committed to tightening the cap and signaled that the price will rise. The pace depends on choices not yet made, and the price also moves with growth, energy demand, offset supply, and interactions with other policies.
Three scenarios bracket the range. Under gradual tightening, the cap falls slowly, the price reaches roughly RMB 150 to 200 per tonne by 2030, and the ETS extends to most industrial emissions. Under rapid tightening, the cap falls faster, the price passes RMB 300, and the ETS becomes the primary driver of reductions. Under delayed tightening, political resistance and slower growth postpone the tightening, the price stays below RMB 100, and administrative measures continue to do the work.
Each scenario changes what firms should do. A higher price makes abatement investment more attractive and carbon-intensive products less competitive. A lower price reduces both the pressure and the incentive to build capability. Under any of them, firms hedge: they invest in abatement that pays off across a range of prices, and they build the organizational capacity to respond as the price moves.
The uncertainty also affects China's credibility in international negotiations. The EU's carbon border adjustment mechanism (CBAM) deducts the carbon price paid in the country of origin from the border charge. A low, uncertain Chinese price means a small deduction and a larger border bill. That interaction is the hinge between domestic carbon pricing and export competitiveness, and it is where the next section begins.
3.3 Implications for Export Competitiveness
3.3.1 The Channels Through Which Carbon Costs Affect Competitiveness
Carbon costs reach export competitiveness through five channels, and their relative weight varies by sector, destination market, and position in the value chain.
Direct cost is the first. Carbon pricing raises energy and material costs, and firms pass some of the increase into prices. The competitiveness effect depends on demand elasticity and on whether competitors absorb similar costs. When every firm in a sector faces the same price, relative competitiveness barely moves; when some face more, the effect can be large. That cross-country variation is the reason the EU compensates energy-intensive trade-exposed sectors with free allocation.
Regulatory compliance is the second. Emissions standards, reporting requirements, and product standards impose costs the carbon price does not capture: administrative expense, capital investment, management attention. For small and medium firms without internal capacity, compliance costs often exceed direct carbon costs. The Shunde factory's RMB 180,000 for consultants and software was not a carbon price. It was the cost of selling into a market where carbon information is required.
Market access is the third. Carbon requirements can decide whether a firm sells into a market at all, independent of price. CBAM is the prominent case, but European and North American retailers impose their own supplier requirements, and green building standards impose requirements on materials and components. Lead firms set these requirements and can change them quickly.
Reputation is the fourth. Carbon performance is increasingly part of what firms sell, and a poor record damages a brand even when the direct cost is small. Several Chinese manufacturers have lost contracts with global brands over carbon or environmental performance, and the losses triggered investments in capability that would not otherwise have happened.
Finance is the fifth. Green finance facilities price credit better for firms with strong environmental performance, and institutional investors screen portfolios for climate risk. The channel grows as Chinese financial institutions align lending with the government's climate priorities.
The weight of each channel differs by factor intensity. In energy-intensive ETS sectors, direct cost dominates. In labor-intensive sectors like furniture, direct carbon cost is small next to labor and materials, and compliance and market access dominate. In technology-intensive sectors, finance and reputation matter more, because competition runs on innovation and brand rather than cost. For a furniture factory, the customer questionnaire that follows the carbon price is a stronger signal than the price itself, and the capability it demands is different in kind from the capability needed to optimize an abatement investment. Answering the questionnaire requires governance capability: systems for measurement, documentation, and verification. Optimizing abatement requires technical capability. Firms need both. Governance capability is the precondition for staying in markets where carbon is a qualifying criterion.
3.3.2 The Carbon Border Adjustment Mechanism and Its Antecedents
The EU's CBAM is the most consequential international development in carbon pricing, and Chinese exporters watch it closely. Proposed in 2021 inside the Fit for 55 package, it entered its transitional phase in October 2023. During transition, importers of iron and steel, cement, aluminum, fertilizers, electricity, and hydrogen report embedded emissions but pay nothing. From 2026 the definitive regime requires importers to buy CBAM certificates equal to embedded emissions, minus any carbon price already paid in the country of origin.
The mechanism targets carbon leakage: production moving to jurisdictions with weaker climate policy, which would undercut EU reductions and penalize EU producers paying the full price. It is drafted to be WTO-compatible by applying the same carbon cost to imports as to domestic output, and it is meant to be temporary, replaced by a global pricing system if one emerges.
For Chinese exporters, three implications follow. The direct one: covered exports to the EU will carry a carbon cost they did not carry before, sized by embedded emissions and by the carbon price paid in China. A producer that has paid through the ETS gets a deduction; one that has not faces the full EU price. The deduction creates an incentive for China to price carbon near EU levels, because a higher domestic price shrinks the border charge and keeps the revenue at home.
The indirect implication runs through measurement. CBAM reporting reaches into the supply chain of covered goods, and the measurement infrastructure a firm builds for CBAM serves other carbon requirements. A steel producer that measures embedded emissions for CBAM can hand the same data to customers asking for footprints, and can use it to find efficiency gains. Measurement capability is a general-purpose asset.
The strategic implication concerns relocation. A Chinese manufacturer thinking about moving to Southeast Asia to escape carbon costs now has to reckon that CBAM applies to imports from any country. Relocation to a low-price jurisdiction does not avoid the border charge and may increase it, because the deduction for carbon price paid at origin shrinks. CBAM therefore blunts carbon-driven relocation for EU-bound exports. It does not touch cost-driven relocation, which follows labor costs.
CBAM is not alone. The United States has proposed a Clean Competition Act that would put a border adjustment on carbon-intensive imports, and other jurisdictions are studying similar instruments. A patchwork of border measures would multiply the administrative burden, and the burden falls hardest on firms with thin capacity. The long-run direction is toward more border measures, because the political logic—protect domestic industry while keeping climate ambition—holds wherever trade-exposed sectors have political weight.
3.3.3 The Embedded Carbon of Chinese Exports
How much CBAM costs China depends on the embedded carbon of its EU-bound exports and on the carbon price Chinese producers have paid. Estimates vary; the order of magnitude does not. China is the EU's largest source of CBAM-covered imports, and the embedded emissions are substantial. Steel leads, followed by aluminum and cement. If the full EU price applies with no deduction once the definitive regime phases in, the annual cost to Chinese exporters runs into the billions of euros.
The estimates are soft because embedded emissions are soft. The carbon intensity of Chinese steel varies widely: integrated blast-furnace mills emit far more than electric arc furnaces, and individual mills differ by technology, fuel mix, and operational efficiency. CBAM's methodology requires installation-level data that many Chinese producers do not collect. The measurement gap is itself a barrier: firms that cannot supply verified data may be assigned default values above their actual emissions, which raises their liability.
Beijing has responded by accelerating ETS expansion and building a product carbon footprint management system, announced in 2023, to measure and certify the carbon footprint of key products. The system would supply the data CBAM needs and let Chinese producers claim the deduction. It is still under development, and its value depends on measurement quality and on whether the EU recognizes Chinese certification. Recognition is political as well as technical. The EU will scrutinize any certification system it does not control, and Chinese certifiers will have to demonstrate methodology and independence before their numbers are accepted.
Embedded carbon also raises a development question. Chinese exports embody emissions produced to satisfy foreign demand, and the cost of cutting them falls on Chinese producers and workers. CBAM shifts part of the cost of EU climate ambition onto Chinese exporters. The Chinese government has called the mechanism protectionist and raised it at the WTO. The complaint has merit—CBAM does shield EU producers—and it changes nothing about the mechanism's likely implementation. Exporters have to adapt.
3.3.4 How Carbon Costs Reshape Competitive Advantage
The analysis so far has run through costs. Competitive advantage is not only a cost story. Carbon costs create openings for firms positioned to respond, and they reshuffle industries in ways that favor some firms over others.
Differentiation is the first mechanism. Firms that can document low embedded carbon can command a premium where carbon performance is valued. The premium is thin in commodity markets, where buyers will not pay for unverifiable claims. It is thicker in differentiated markets—consumer goods, building products, components sold to brand-sensitive customers—where carbon performance is part of the value proposition. A furniture maker that can document a low footprint separates itself from competitors that cannot, and the separation supports margin or shelf access.
Cost leadership in abatement is the second. Firms that invest early in efficiency and low-carbon processes reach lower abatement costs than firms that wait: they capture the learning curve and avoid the higher cost of retrofitting later. The pattern is familiar from earlier environmental regulation. Early compliance often costs less than firms expect; late compliance costs more. The pattern matters for Chinese manufacturers because many carry large untapped efficiency opportunities. Their energy intensity runs above that of competitors in advanced economies, so the first tranche of abatement is cheap.
Market access is the third. Firms that meet carbon requirements reach markets closed to firms that do not. The advantage is sharpest in regulated markets—the EU, and increasingly the United States—and it also operates in unregulated markets where lead firms set their own rules. A Chinese furniture maker that cannot meet a European retailer's carbon reporting requirements is out of that supply chain whatever its price. The exclusion is not permanent; the firm can invest and reapply. The cost of exclusion, in lost sales and re-entry investment, is large.
Consolidation is the fourth. Carbon costs fall hardest on small, inefficient firms without the capacity to measure, report, and abate. The selection effect leaves larger, more efficient, more capable firms. It is visible in steel, where the government has pushed mergers and tightened standards on small mills, and it will spread as carbon requirements widen. The effect on competitiveness cuts both ways: average efficiency rises, and the number of firms falls, which may thin the competition that drives dynamism.
Relocation is the fifth. Carbon costs can push firms toward jurisdictions with lower prices, but the decision is more complex than a cost differential. Relocation carries fixed costs, the loss of cluster advantages, and supply chain disruption, and it pays only when the carbon gap is large relative to those costs. CBAM blunts relocation for EU-bound exports because the border charge follows the product, not the factory. Relocation to serve non-EU markets, or to reach the EU through countries with favorable treatment, stays open for some firms. Chapter 8 takes up relocation in the furniture industry.
3.3.5 The Compliance-Capability Distinction in the Carbon Context
The policy architecture and the pricing mechanisms create a compliance floor: the requirements a firm must meet to keep operating in regulated markets. The floor is rising, faster in some sectors and markets than others. It is not a ceiling. Firms that meet the requirements can build capability above the floor—systems, skills, and relationships that let them anticipate requirements, differentiate on carbon performance, and capture what the transition opens up.
The distinction matters because the architecture is built to elicit compliance, not capability. The ETS sets a cap and allocates allowances; it does not require a firm to build carbon management. CBAM requires reporting and payment; it does not require innovation. Sectoral plans set targets and priorities; they do not specify the organizational changes that would meet them. The gap between compliance and capability is where firms make strategic choices, and those choices depend on things the architecture does not capture: existing capabilities, position in the value chain, relationships with customers and suppliers, access to finance and knowledge.
The Shunde factory illustrates the fork. It could have hired a consultant, produced the data, and gone back to business as usual. That is compliance, and it would have satisfied the retailer for one season. Or it could have treated the questionnaire as a reason to build a carbon management system—train staff, install metering, put carbon data into production planning—which would have made the next questionnaire cheaper and given it something competitors lacked. The architecture created the occasion for the choice. It did not make the choice.
The compliance trap, introduced in Chapter 2, is the risk that firms do the minimum a requirement demands and never build the capability to climb the value chain. The trap is a rational response to an environment that rewards compliance and not capability. Firms that invest in capability carry the cost themselves, while the benefits—market access, differentiation, resilience—are uncertain and may spill to competitors. The trap bites hardest for small and medium firms, which lack both the resources to invest and the market power to capture the return.
Escaping the trap takes more than a carbon price. It takes a policy environment that rewards capability, institutions that supply the knowledge and finance for investment, clusters that generate spillovers and cheapen experimentation, and firms with the strategic intent and organizational capacity to commit. The remaining chapters take these up. The architecture described here sets the stage. Firms and the institutions around them write the play.
3.3.6 Anticipating Objections
Three objections to this chapter's argument frame the debates ahead.
The first is that the carbon price is too low to matter. The objection has evidence behind it: the ETS price sits well below what most estimates say is needed for the Paris targets, and the effective carbon cost facing most manufacturers is small against total costs. If the price cannot change behavior, then treating carbon costs as a competitiveness driver is misplaced.
The objection is right about the price and wrong about the conclusion. The ETS price is one carbon cost among several. Reporting and verification expenses, lead-firm market access requirements, the finance gap between green and non-green firms, and the anticipated cost of future regulation all move behavior while the current price is modest. The Shunde factory's RMB 180,000 was not driven by the ETS. It was driven by a customer. The argument is not that the ETS price alone reshapes competitiveness. It is that the combination of carbon-related costs, of which the ETS price is one part, is reshaping the landscape, and the parts interact. A firm that builds measurement capability for a customer uses it for ETS obligations, and a firm facing a customer requirement is more likely to make the abatement investment the ETS price alone would not justify.
The second objection is that the architecture is too uncertain to support investment. That is partly true: uncertainty about the price path, the timing of ETS expansion, and CBAM recognition of Chinese certification complicates planning. Uncertainty is not paralysis. Firms invest under uncertainty constantly, and the ones that build capability are the ones that can adapt as it resolves. The capability view treats uncertainty as a condition to manage, not a reason to wait.
The third objection is that the chapter overstates policy. Competitiveness, on this view, is set by firm strategy, institutional quality, factor availability, and value chain structure; environmental policy is one input among many, and its weight varies by sector and firm. The objection is a useful corrective, and the chapter does not claim policy is the only determinant. The claim is narrower: the dual carbon goals and the pricing mechanisms that implement them have changed the terms of competition inways that matter for Chinese manufacturers. The change is uneven—larger for energy-intensive sectors than for labor-intensive ones, larger for EU-bound exporters than for firms selling domestically, larger for firms with the capacity to respond than for firms without it. The remaining chapters examine that unevenness industry by industry and cluster by cluster. This chapter's job is to map the architecture and the pricing mechanisms that constitute the new competitive landscape, and to specify the channels through which they reach competitiveness. A map is not the ground, but walking without one is worse.
3.3.7 The International Dimension: Climate Clubs, Trade, and the Fragmentation of Carbon Governance
CBAM sits inside a broader shift: carbon pricing is fragmenting across jurisdictions, and trade policy is becoming the connector. For Chinese manufacturers the consequences run past the direct border charge.
Carbon pricing systems are multiplying. The World Bank's State and Trends of Carbon Pricing 2023 counted 73 carbon pricing instruments in operation, covering about 23 percent of global emissions. The instruments differ in design, price, and coverage, and they are not linked. The result is a patchwork of prices that firms must navigate and a set of arbitrage routes: produce where carbon is cheap, sell where it is dear, and absorb the border adjustment where one exists. Fragmentation also creates pressure to link. High-price jurisdictions want linkage to reduce leakage; low-price jurisdictions want it for market access. Linking carbon markets is technically and politically hard, and no near-term resolution is in sight.
Climate clubs are the second development. William Nordhaus and others proposed a group of countries adopting a common carbon price and charging a tariff on imports from non-members. The club would solve the free-rider problem that has stalled international negotiations by making participation pay. The idea has moved into policy discussion, including at the G7, without a settled design. For China the effect depends on whether China joins, on the club's price, and on how Chinese exports are treated. A high-price club with a border adjustment would cost Chinese exporters heavily. A club that includes China would flatten the patchwork.
Trade policy is being used for climate objectives beyond carbon pricing. The EU has proposed rules on deforestation-free products, on batteries, and on ecodesign, each imposing carbon- and environment-related requirements on imports. These are not carbon prices, and they act like them: they raise compliance costs for exporters and favor producers who can document sustainable practice. The requirements are complex, they differ across jurisdictions, and they are often written without input from exporting countries. They also reward firms that invest in traceability and certification, because those firms can meet requirements competitors cannot.
The direction is toward tighter coupling of climate policy and trade. Carbon performance will govern access to international markets alongside domestic compliance. Firms that build capability early will move through the fragmented landscape more cheaply. Firms that wait will face higher costs and fewer routes.
3.3.8 The Domestic Political Economy of Carbon Pricing
Design and effects are half the story. The other half is who gains, who loses, and who organizes. Carbon pricing creates concentrated losers and diffuse winners, and the design of China's ETS reflects that asymmetry.
The losers are owners and workers in carbon-intensive sectors—coal, steel, cement. These sectors carry political weight, and they have used it to shape the ETS: output-based allocation, a low auction share, and phased expansion all lower their costs. The influence is bounded. The government has committed to the goals and has tightened the system over time. It is a constraint on pace, not a veto.
The winners are firms and regions positioned for the transition: renewable generators, electric vehicle manufacturers, energy service providers, and the provinces that host them. Their interests are less concentrated and their political weight is smaller today, but it grows as the economic benefits show up. Solar and electric vehicles have become major export industries and employers, and their interests align with a higher carbon price.
The government's own interests mediate the balance. It has committed to the goals for international standing, energy security, and the ambition to lead in green technology. Those interests push toward tightening even against the losers' resistance. Growth and social stability push toward a slower pace and compensation for the losers. The tension between the two is where the uncertainty about the price path comes from, and it will not resolve soon.
The political economy also shapes where the money goes. Auction revenue, if directed to clean energy investment, retraining, and compensation for low-income households, can offset some of the regressive effect of higher energy prices. That allocation is a political choice and it is unsettled. Auction revenue is small now. It will grow with the auction share, and the argument over its use will grow with it.
For firms, the political economy is risk and opening at once. The risk is that resistance delays the tightening, which extends uncertainty and postpones investments firms need to make. The opening is that firms can position themselves on the transition's side—invest in clean technology, support the government's climate objectives, build the capabilities the transition needs—and collect the policies that follow. Capability built early is also political capital, because it shows the transition is feasible and can generate growth.
3.4 Conclusion: The New Competitive Landscape
The dual carbon goals reorganized the policy environment in which Chinese manufacturers operate. The "1+N" framework translates the top-level commitment into sectoral and local plans. The ETS puts a price on carbon for the largest emitters. A growing set of regulations and market requirements imposes carbon-related costs across the economy. The costs are uneven—higher for energy-intensive sectors, for firms exporting to regulated markets, for firms with weak capabilities—and they are still moving as the ETS expands and border measures take effect.
The reorganization reshapes competition beyond the direct cost of carbon. Carbon costs favor firms that can differentiate on carbon performance, reach cost leadership in abatement, access markets where carbon is a qualifying criterion, and adapt across a range of policy scenarios. None of these advantages is automatic. They depend on firm strategy and on the institutions around the firm. Firms that treat carbon as a compliance item will meet the floor and stop. Firms that treat it as an opening will build capability and climb.
The compliance-capability distinction connects this chapter to the rest of the book. The architecture sets the floor, and the floor is rising. Whether a firm builds above it depends on things the architecture does not determine: existing capabilities, position in the value chain, relationships with customers and suppliers, and the institutions that surround it. Chapter 4 takes up the conceptualization and measurement of green governance capability. Chapters 5 through 7 trace the differentiated pathways of labor-intensive, technology-intensive, and capital-intensive industries.
The Shunde procurement manager now runs a small carbon management team. Three people: a former quality manager who learned carbon accounting through an online course, a data analyst who built a spreadsheet system tracking energy consumption by production line, and a liaison who manages the relationship with the retailer's sustainability auditors. The team's budget is modest and its authority is limited. The factory answers the questionnaire in two weeks instead of three months, and the energy data has started to surface efficiency opportunities on two coating lines. The manager is not sure the investment pays. The retailer has offered no price premium, and the efficiency savings are small against the team's cost. The questionnaire, though, has grown more detailed every year, and the factories that did not build a team are now paying consultants to catch up. "We are not ahead," she says. "But we are not behind." Her next step is already scheduled: the retailer's auditors arrive in September, and the team has budgeted RMB 60,000 to have the metering on the third production line certified before they do.