Chapter 4: The Dual Carbon Goals as a New Competitive Landscape for Manufacturing
The national carbon market opened in Shanghai on July 16, 2021, with a trade that took two minutes. Sixteen hundred thousand tons changed hands at 52.78 yuan per ton, about 8.44 million yuan in total. For the roughly 2,000 power-sector firms covered on day one, that opening price became the reference point for every compliance decision that followed. Manufacturers in Guangdong, Zhejiang, and Jiangsu read the same number and drew a larger conclusion: carbon now had a price in China, and the power sector would not be its only jurisdiction.
The dual carbon goals—the 2030 carbon peak and the 2060 carbon neutrality targets announced by Xi Jinping at the UN General Assembly in September 2020—recast the competitive landscape for Chinese manufacturing. "Landscape" here carries a specific meaning from the sustainability transitions literature, where it denotes the broad exogenous context that shapes what happens at the level of regimes and niches. The goals function exactly this way: a landscape-level shift that presses on the manufacturing regime, opening windows for some firms and closing them for others.
The goals operate on competitiveness through three channels, each with its own logic and its own distributional consequences. Carbon pricing, energy market reform, and environmental regulation raise the cost of carbon-intensive inputs and outputs. Changing demand conditions in export markets, particularly in the EU, alter the terms on which Chinese manufactures reach foreign consumers. And the credibility of the 2060 target changes what firms believe about future prices, future regulation, and future demand, which changes what they will invest in today.
These channels do not affect all manufacturers equally. The goals reward firms that can measure and cut emissions, and they penalize firms that treat carbon as an externality. The differentiation runs along factor-intensity lines—labor-intensive industries face different pressures than capital-intensive ones—but it also cuts within industries, separating firms that have built measurement infrastructure from those that have not. This is consistent with the book's broader argument that green governance capability is endogenous to firm strategy and organizational learning, not simply a function of regulatory pressure.
One caveat governs the quantitative material in this chapter. The policy architecture is young, the carbon market is thin, and the evidence on competitiveness effects is fragmentary. Much of what I describe is a trajectory rather than an outcome. Where I rely on projections or model-based estimates, I name the source. Where the evidence is thin, I say so. The numbers are good enough to orient strategy; they are not good enough to settle academic debates.
4.1 The 3060 Targets and the Policy Architecture
4.1.1 What Was Announced, and What It Means
The announcement came on September 22, 2020, in a pre-recorded video address to the UN General Assembly. China would peak carbon dioxide emissions before 2030 and reach carbon neutrality before 2060. The 2060 target was the surprise. Most observers had expected a peak commitment; the neutrality pledge went beyond what any major economy except the EU and the UK had made at that point. It was subsequently written into the 14th Five-Year Plan and the 2035 long-range objectives, and it became the organizing principle for energy and industrial policy.
The arithmetic is stark. China's CO2 emissions in 2020 were roughly 11.5 billion tons, about 28 percent of the global total. Net zero by 2060 requires cutting emissions by more than 90 percent from current levels in forty years while the economy continues to grow. The IEA's Announced Pledges Scenario and Net Zero Emissions scenario both imply average annual reductions of roughly 8–10 percent after the peak, against the 1–2 percent annual reductions the EU achieved in the first decade of its climate policy.
That arithmetic matters for manufacturing because it implies the policy stringency will ratchet rather than adjust once. Firms planning for a single compliance cycle will be caught out. Firms that build capability for continuous reduction will find the ratchet less costly.
The policy architecture that emerged has four main components: the carbon market, the energy transition (coal to renewables, electricity market reform, green hydrogen), industrial policy (electric vehicles, process upgrading, circular economy), and the measurement infrastructure that makes the other three enforceable. The components are interdependent. The carbon market only works if measurement is reliable. The energy transition only accelerates if the grid can absorb intermittent renewables. Industrial policy only changes firm behavior if the prices firms face reflect the social cost of carbon. In the early years, the weakest link is measurement.
4.1.2 The National Carbon Market: Design and Early Performance
The national Emissions Trading Scheme launched in July 2021 covering the power sector—about 2,000 firms and roughly 4.5 billion tons of CO2, the largest carbon market in the world by volume. The initial design was cautious. Allowances were allocated freely based on historical intensity benchmarks, not auctioned. The first compliance cycle gave firms generous headroom. The price started at 52.78 yuan per ton and traded in a range of roughly 40–60 yuan through the first year.
The caution was deliberate. Chinese policymakers had watched the EU ETS struggle with a price collapse in its first phase, and they had watched seven pilot markets—Beijing, Tianjin, Shanghai, Chongqing, Hubei, Guangdong, and Shenzhen—develop at different speeds. The pilots taught two lessons. Free allocation with generous benchmarks produces low prices and limited abatement. Enforcement depends on measurement, and measurement depends on the quality of the emissions data firms report.
The pilots also exposed the measurement problem. In Guangdong, the most liquid pilot market, prices traded in the 20–40 yuan range and the compliance rate exceeded 98 percent. Abatement was modest. Most firms met their obligations by purchasing allowances or using flexibility mechanisms rather than investing in efficiency. The reason was straightforward: at 30 yuan per ton, a boiler upgrade costing 10 million yuan that cuts 10,000 tons of CO2 per year saves 300,000 yuan annually—a payback period of thirty-three years.
National market prices ran higher than the pilots but remained low by international standards. The EU ETS averaged around 50–60 euros per ton in 2021, five to six times the Chinese price. That gap is a short-term advantage for Chinese exporters and a long-term risk, because the EU is preparing to adjust for it at the border.
Coverage is expanding. The 14th Five-Year Plan commits to including steel, cement, aluminum, chemicals, and paper, and to introducing auctioning gradually. For the industries this book examines, timing matters. Furniture manufacturers are not direct emitters at scale; their exposure runs through electricity prices and supply chain requirements. Electronics firms are indirect emitters, though their data centers and supply chains face growing scrutiny. Steel, cement, and aluminum producers are direct emitters, and their compliance costs will rise as coverage expands.
4.1.3 Energy Market Reform and the Price of Power
The carbon market is the most visible instrument. The energy market reform is arguably more consequential for manufacturing costs. China's electricity prices have historically been administered rather than market-determined. Grid companies set tariffs, and the tariffs cross-subsidized residential consumers at the expense of industrial users—industrial electricity prices in China have run higher than residential prices, the reverse of the pattern in most developed economies. The reform, which began with the 2015 document "Several Opinions on Further Deepening the Reform of the Electric Power System" (Document No. 9), aims to create a spot market, decouple generation from grid operation, and let prices reflect supply and demand.
The dual carbon goals accelerate this reform. A power system with a high share of renewables needs price signals that reflect scarcity and flexibility; administered prices do not provide them. Spot markets piloted in eight provinces, including Guangdong, Zhejiang, and Shanxi, have produced volatile prices that sometimes spike to several times the administered tariff. Volatility is a new management challenge. Firms that can shift load, invest in storage, or contract with renewable generators can manage it. Firms that cannot face higher average costs.
The cost impact is uneven. Aluminum smelting, at roughly 13,500 kWh per ton of primary aluminum, is the most electricity-intensive manufacturing process. A 0.1 yuan per kWh increase in the electricity price raises the cost of a ton of aluminum by 1,350 yuan, roughly 5 percent of the 2021 price. Steel, cement, and chemicals are less electricity-intensive but still significant. Furniture manufacturing uses relatively little electricity per unit of output, but its supply chain—particleboard production, coating, drying—is energy-intensive. Cost pass-through depends on market structure. Aluminum producers can pass through some costs because the market is concentrated; furniture producers, facing fragmented competition, cannot.
The energy transition also creates opportunities. The levelized cost of solar PV in China fell from roughly 1.5 yuan per kWh in 2010 to 0.3–0.4 yuan per kWh in 2021, below the cost of new coal-fired generation. A manufacturing firm with a large roof—a furniture factory, a warehouse, an electronics assembly plant—can install solar and cut electricity costs by 20–30 percent, with a payback period of five to seven years. That falls within the investment horizon of most firms.
I have seen this in the field. A furniture cluster in Houjie, Dongguan, which I discuss in more detail in Chapter 5, has seen a wave of rooftop solar installations since 2020. The driver is not environmental commitment. It is the combination of falling solar costs, rising grid tariffs, and the expectation of carbon pricing. The firms that install solar are the ones with the balance sheet to finance it and the roof area to make it worthwhile. The firms that rent their factory space cannot. The differentiation is structural.
4.1.4 Industrial Policy: Subsidies, Standards, and the Green Premium
The dual carbon goals have spawned a range of subsidy programs, standards, and targets. The New Energy Vehicle mandate, which requires automakers to sell a certain proportion of electric vehicles, has been extended and tightened. Energy efficiency standards for buildings and appliances have been raised. Circular economy targets—for recycling rates, remanufacturing, and industrial symbiosis—are written into the 14th Five-Year Plan.
The subsidies are the most visible element. The central government has committed hundreds of billions of yuan to renewable energy, NEV charging infrastructure, green hydrogen demonstration projects, and efficiency retrofits. For manufacturers, subsidies are a mixed blessing. They lower the cost of compliance, but they also create dependence and distort competition. The solar industry is the cautionary tale: Chinese subsidies built a globally competitive industry, and the subsidy-driven boom also created overcapacity and a price collapse that wiped out many firms.
The standards matter more in the long run. Energy efficiency standards for appliances have tightened progressively, forcing manufacturers to redesign products. Firms that can redesign quickly gain market share; firms that cannot lose it. The standards function as a non-price competitive pressure that favors firms with design and engineering capability. They raise the minimum quality threshold, and firms that cannot meet it exit.
The industrial policy also includes the "dual control" system—control of both total energy consumption and energy intensity—which sets targets for each province and major enterprise and is enforced through the cadre evaluation system. The targets were tightened in 2021, and the tightening contributed to the power shortages that autumn. The shortages were a reminder that the policy architecture is not yet coherent: the carbon goals, the energy targets, and market prices can pull in different directions.
4.1.5 Measurement Infrastructure: The Weakest Link
Measurement is the least visible component and the most important for the book's argument. Carbon governance requires carbon accounting. A firm cannot manage what it cannot measure, and a regulator cannot enforce what it cannot verify. China's measurement infrastructure is developing rapidly but remains uneven. The national ETS requires firms to report emissions using standardized methods, with third-party verification. The quality of reports varies. A 2021 inspection by the Ministry of Ecology and Environment found that a significant share of verification reports contained errors or omissions. Some firms had underreported emissions; some verifiers had been lenient.
The problem is not unique to China—the EU ETS had similar difficulties in its early years—but it is more acute here because the market is younger and the verification industry less mature. The solution is investment in monitoring equipment, data systems, and trained personnel. Firms that invest gain a double advantage: cheaper compliance and the data to identify abatement opportunities. Firms that do not invest face higher compliance costs and greater regulatory risk.
Measurement extends into the supply chain. The EU's Carbon Border Adjustment Mechanism requires importers to report the embedded emissions of their products, which requires Chinese exporters to measure emissions at their own facilities and upstream—at the steel mill, the aluminum smelter, the chemical plant that supply their inputs. The burden cascades down the chain. Firms with supply chain data systems can respond; firms without them cannot.
Here the book's concept of green governance capability becomes concrete. Capability is the organizational capacity to measure emissions, interpret the measurements, identify abatement options, finance and implement them, and verify the results. Firms that build this capacity early will find the dual carbon goals less costly and more opportunity-rich than firms that delay.
4.2 Impact on Export Competitiveness
4.2.1 The Cost Channel: How Carbon Pricing Affects Export Prices
The simplest way to think about carbon pricing and export competitiveness is to decompose a product's cost into material, labor, energy, capital, and compliance components. Carbon pricing raises energy costs and compliance costs. The effect on the final price depends on the carbon intensity of the product and on the firm's ability to pass through costs.
For steel the arithmetic is straightforward. A ton of blast furnace steel emits roughly 2 tons of CO2. At a carbon price of 50 yuan per ton, the compliance cost is 100 yuan per ton of steel, 2–3 percent of the 2021 price. At 200 yuan per ton, the cost is 400 yuan, 8–10 percent of the price. The EU ETS price in 2021 was around 50–60 euros per ton, or 400–500 yuan, and European steelmakers' compliance costs are correspondingly higher. The gap between Chinese and European carbon costs currently favors Chinese exporters. The CBAM is designed to close it.
For furniture the arithmetic differs. A typical wooden cabinet contains 50–100 kg of wood, 5–10 kg of steel or aluminum hardware, and 2–5 kg of coatings and adhesives. Embodied carbon runs roughly 100–200 kg of CO2 per unit, depending on the wood source and manufacturing energy. At 50 yuan per ton, the compliance cost is 5–10 yuan per unit, under 1 percent of the retail price. The direct impact is small. The indirect impact—through electricity prices, supply chain requirements, and the CBAM's reporting burden—is larger.
The cost channel is strongest for energy-intensive, trade-exposed industries: steel, aluminum, cement, chemicals, paper. It is weaker for labor-intensive assembly: furniture, apparel, toys. It is intermediate for technology-intensive industries: electronics, machinery, batteries. That variation underpins the sector-differentiated pathways developed in Chapters 5 through 7.
The channel also depends on the carbon price trajectory. The current Chinese price is low. The 14th Five-Year Plan commits to "improving the carbon market" and "reflecting the cost of carbon," and the direction is upward, but the pace is uncertain. A firm planning a ten-year investment should assume 100–200 yuan per ton by 2030 rather than the current 50. The assumption matters: a boiler upgrade uneconomic at 50 yuan may be economic at 150.
4.2.2 The Market Channel: Demand for Green Products
Export markets are changing. European consumers, particularly in Northern Europe, will pay a premium for products with verified low-carbon footprints. The premium varies by category. For furniture it is modest—perhaps 5–10 percent for certified sustainable wood products—but growing. For electronics it is embedded in corporate procurement: Apple, Dell, and HP require suppliers to report emissions and meet reduction targets. For textiles it attaches to organic cotton and low-impact dyes.
The demand channel is also about procurement rules. EU public procurement directives allow contracting authorities to require environmental certifications. US federal procurement rules increasingly require suppliers to disclose emissions. Large retailers—IKEA, Walmart, Carrefour—operate supplier codes that require emissions reporting and reduction targets. These rules create a market access barrier for firms that cannot measure and reduce emissions. The barrier is a documentation requirement rather than a tariff, but the effect is similar.
Documentation is where measurement infrastructure pays off. A furniture exporter selling to IKEA must provide a life-cycle assessment covering emissions from raw material extraction, processing, manufacturing, and transport. The assessment requires supplier data, which requires supplier engagement, which requires a management system. Firms with the system respond in weeks. Firms without it face months of work and the risk of losing the contract.
The channel also creates room for differentiation. Firms that can credibly claim low-carbon products command higher prices and reach premium segments. The claim must be verified, and the verification infrastructure—certifications, labels, audits—is developing. Firms that invest in verification gain a marketing advantage that is hard to replicate.
Evidence on the size of the green premium is mixed. A meta-analysis by Tully and Winer (2014) found that consumers report willingness to pay 15–20 percent more for green products, while actual purchase data show a premium of 2–5 percent. The gap between stated and revealed preference is well documented. The premium is larger for products with health co-benefits (organic food, low-VOC paints) and visible environmental attributes (energy-efficient appliances). For furniture it is likely small unless the product carries a recognized certification such as FSC or Cradle to Cradle.
The market channel therefore matters more for technology-intensive products, where corporate procurement is stringent, than for labor-intensive products, where consumer preferences are weaker. The electronics supply chain is the leading edge. Apple's supplier responsibility program, which requires suppliers to report emissions and set reduction targets, has cascaded through hundreds of Chinese suppliers. Suppliers with measurement systems win Apple contracts. Suppliers without them are excluded.
4.2.3 The Expectation Channel: Investment Horizons and Stranded Assets
The 2060 target changes what firms believe about the future. A firm that expects carbon prices to rise invests differently from one that expects them to stay low. A firm that expects its carbon-intensive assets to be stranded invests differently from one that expects protection. The expectation channel is the hardest to measure and may be the most important.
It operates through the cost of capital. Banks and investors are incorporating climate risk into lending and investment decisions. The People's Bank of China has led on green finance, issuing guidelines for green bonds and climate risk disclosure. The guidelines are not yet mandatory for all firms, but they are changing the terms on which capital is available. A firm with a credible decarbonization plan can access green finance more cheaply. A firm without one faces higher borrowing costs or exclusion from certain lending programs.
The channel also operates through asset valuation. A coal-fired power plant, a blast furnace, a cement kiln—these are long-lived assets whose value depends on the carbon price trajectory. If the price rises, the assets lose value. Stranded-asset risk is real for firms that have not planned for the transition, and lower for firms that have invested in low-carbon alternatives.
The expectation channel matters most for capital-intensive industries, where investment horizons are long and assets durable. A steel firm deciding whether to reline a blast furnace or invest in electric arc capacity is betting on the carbon price trajectory. Relining costs hundreds of millions of yuan and extends the furnace's life by 15–20 years. The electric arc furnace costs more upfront but emits less and carries lower compliance costs. The 2060 target tilts the choice toward the low-carbon option.
For labor-intensive industries the channel is weaker. A furniture firm can relocate a factory in 12–18 months. Sunk costs are lower and strategic flexibility higher. But flexibility is also a trap: firms that can relocate easily may relocate rather than upgrade, and relocation may be a dead end if the destination adopts carbon pricing. Those dynamics are the subject of the next section.
4.2.4 The CBAM and the Border Adjustment Logic
The EU's Carbon Border Adjustment Mechanism is the most concrete manifestation of the market and expectation channels. Proposed in July 2021 as part of the Fit for 55 package, the CBAM would impose a carbon price on imports of cement, steel, aluminum, fertilizers, and electricity equal to what European producers pay under the EU ETS. The mechanism is designed to prevent carbon leakage—the relocation of carbon-intensive production to jurisdictions with weaker climate policy—and to encourage other countries to adopt carbon pricing.
The initial coverage excludes furniture and electronics, but the logic is expandable, and the European Commission has signaled it will consider extending scope as the mechanism matures. Extension would reach Chinese manufacturers indirectly, through the carbon content of their inputs. A furniture manufacturer using steel hardware would face a CBAM charge on the embedded carbon in that hardware even if the furniture itself is not covered. The charge would be collected at the border, and the exporter would need to document embedded emissions to claim credit for carbon already paid in China.
Documentation is the key. The CBAM requires importers to report embedded emissions verified by an accredited auditor. The reporting burden falls on the importer, who will pass it to the exporter. Chinese exporters will need emissions data compatible with EU methodologies: emissions from raw material extraction, processing, manufacturing, and transport, with site-specific data for production facilities.
The CBAM is not yet in force. The transitional period began in 2023 with reporting obligations but no financial charges; financial charges begin in 2026. The design is still being negotiated, and the final scope and methodology may change. The direction is clear. The EU is building border adjustment infrastructure that will make carbon content a determinant of market access. Chinese manufacturers selling into the EU will need to measure and reduce emissions regardless of whether the CBAM directly covers their products.
The CBAM has been criticized as protectionist, and the criticism has some merit: the mechanism shields European producers from competition in countries with weaker climate policy and generates revenue for the EU budget. But the criticism misses the logic. If the EU is serious about decarbonization, it cannot allow carbon-intensive production to relocate to jurisdictions that do not price carbon. The border adjustment complements a domestic carbon price. The alternative—exempting trade-exposed industries from the carbon price—would undermine the EU's climate policy.
For Chinese manufacturers the CBAM is a strategic signal: carbon content will matter in export markets, and it will matter more over time. Firms that respond early gain an advantage. Firms that wait will scramble.
4.2.5 Empirical Evidence: What Do We Know About Export Effects?
The empirical evidence on carbon pricing and exports is limited and mixed. Ex-post studies of the EU ETS find small competitiveness effects. Martin, Muûls, and Wagner (2016) found that the ETS reduced emissions without significant effects on employment or output in regulated sectors—consistent with the "no leakage" hypothesis, since free allocation cushioned the cost impact and the most affected sectors passed through costs.
Ex-ante studies of the CBAM find larger effects. UNCTAD (2021) estimated that the CBAM would reduce Chinese exports of covered goods to the EU by 1–3 percent, with larger effects for steel and aluminum. The estimate depends on assumptions about the carbon price and pass-through rate. The effects are small relative to total exports but significant for the affected sectors.
Evidence on the green premium is more encouraging. A Carbon Trust (2020) study found that products with verified carbon footprints command a 2–5 percent premium in European markets, higher for business-to-business products than for consumer products. The premium is not large enough to offset a high carbon price, but it matters for firms operating on thin margins.
Evidence on relocation is the weakest. Data on Chinese outward FDI in manufacturing is incomplete, and attributing relocation to carbon policy is difficult. The relocation that has occurred—to Vietnam, Bangladesh, Ethiopia—is driven primarily by labor costs, trade tensions, and supply chain diversification. Carbon policy is a secondary factor. It may become primary as carbon prices rise.
4.3 Industrial Relocation Dynamics
4.3.1 The Relocation Debate: Pressure, Opportunity, and the Role of Carbon Policy
Relocation debates in China have run for two decades. The first wave, in the 2000s, followed rising labor costs in the coastal provinces and the "Go West" campaign. The second, in the 2010s, followed trade tensions and the search for lower-cost production in Southeast Asia. The third wave, beginning now, is driven by carbon policy, supply chain diversification, and the changing geography of demand.
Carbon policy's role is ambiguous. Higher carbon costs at home make production abroad more attractive, particularly in countries with lower energy costs and weaker climate policy. The same policy creates opportunities for Chinese firms to export green technologies and invest in low-carbon production abroad. The net effect depends on the firm, the industry, and the destination.
Pressure is strongest for energy-intensive, trade-exposed industries. A steel mill facing a 200 yuan per ton carbon price at home and a 400 yuan per ton CBAM charge at the border has a strong incentive to relocate to a country without carbon pricing, and the incentive is reinforced by lower-cost energy in Southeast Asia and the Middle East. Relocation of steel capacity to Indonesia, Malaysia, and Vietnam has accelerated since 2020, driven by carbon policy, overcapacity at home, and demand growth in the destination countries.
Pressure is weaker for labor-intensive industries. A furniture factory facing a 50 yuan carbon price and a CBAM reporting requirement has a modest incentive to relocate. The carbon cost is small relative to labor, and relocation would disrupt supply chains and customer relationships. Furniture firms that have moved—to Vietnam, Cambodia, Mexico—did so primarily for labor cost and tariff reasons.
For technology-intensive industries the opportunity dominates. Chinese firms in solar, batteries, and electric vehicles have become global leaders and are investing abroad to access markets and diversify production. These investments are expansion rather than relocation: firms add capacity abroad while maintaining and upgrading capacity in China. Carbon policy is a factor in location decisions, but market access, tariff avoidance, and proximity to customers matter more.
4.3.2 Sector-Specific Relocation Dynamics
Steel is the most carbon-intensive of the three sectors I examine here. A ton of steel emits roughly 2 tons of CO2, and the industry accounts for about 15 percent of China's emissions. Carbon price exposure is direct and large, CBAM coverage is immediate, and relocation pressure is intense. Chinese steel firms have responded in three ways: investing in low-carbon steelmaking (electric arc furnaces, hydrogen-based direct reduction) to comply with the CBAM; relocating capacity to Southeast Asia, where carbon prices are lower and demand is growing; and exiting, closing inefficient plants and consolidating capacity.
The relocation is visible in Indonesia. The Morowali Industrial Park on Sulawesi hosts a cluster of Chinese-funded nickel and steel operations. Output has grown rapidly since 2015, and the park now accounts for a significant share of global nickel supply. Its carbon footprint is large—it is powered by coal-fired plants—and the carbon price is zero. Morowali is a case study in carbon leakage: production moved to a jurisdiction without carbon pricing, and the emissions moved with it.
Furniture is less carbon-intensive. Direct emissions from manufacturing are modest; embodied emissions sit in the wood, hardware, and coatings. Carbon price exposure is indirect, through electricity prices and supply chain requirements, and CBAM coverage is not immediate. Relocation pressure is moderate. Chinese furniture firms have moved to Vietnam, Cambodia, and Mexico, but the drivers are labor costs, tariffs, and supply chain diversification. Firms that stayed have invested in automation, design, and green certification—FSC for wood, GREENGUARD for emissions—which functions as a market access requirement in Europe and North America.
The furniture case matters because it shows that carbon policy is not the only driver of relocation and may not be the most important. Firms that relocate for labor costs would relocate regardless of carbon policy. Firms that stay and upgrade are the ones that have built capability in design, automation, and certification. Carbon policy reinforces the upgrading path; it does not create it.
Electronics is the least carbon-intensive in direct terms and the most exposed to supply chain requirements. Apple, Dell, HP, and Samsung require suppliers to report emissions and set reduction targets. Apple has committed to carbon neutrality across its supply chain by 2030 and is pressing suppliers to adopt renewable energy. Suppliers that meet the requirements win contracts; suppliers that cannot are excluded.
Electronics relocation differs from steel and furniture. Production is fragmented across many countries, and relocation follows the brand's supply chain strategy rather than the supplier's cost calculation. A Chinese electronics supplier that wants to keep an Apple contract must meet Apple's carbon requirements wherever it produces. The relocation decision is secondary. The primary decision is whether to invest in the capability to meet the requirements.
4.3.3 The "China Plus One" Strategy and the Carbon Dimension
"China Plus One"—diversifying supply chains to include a second country besides China—has become a standard corporate response to trade tensions and pandemic disruptions. The strategy has a carbon dimension that is often overlooked. A firm that diversifies to Vietnam or Mexico may reduce exposure to Chinese carbon policy while increasing exposure to the carbon content of its supply chain. The CBAM applies to imports into the EU regardless of origin. A Vietnamese steel mill using Chinese coal and Chinese technology has a carbon footprint not much lower than a Chinese mill's, and the CBAM charge would be similar.
The carbon dimension of "China Plus One" is therefore more complex than it appears. Diversification reduces concentration risk; it does not necessarily reduce carbon risk. Firms that manage carbon risk build measurement and reduction capability across the entire supply chain, wherever it is located. The capability is portable. The location is not.
The Chinese government's response has been the "dual circulation" strategy—combining domestic demand and international trade to reduce dependence on foreign markets and build domestic supply chains. The carbon goals are integrated into the strategy: the domestic market is to be powered by green energy, and domestic supply chains are to be low-carbon. Success depends on the pace of the energy transition and on firms' willingness to invest in capability.
4.3.4 Relocation as Opportunity: Green Technology Exports
The relocation debate usually focuses on lost manufacturing jobs and eroded industrial capacity. That focus misses the opportunity. The dual carbon goals have created a global market for green technologies, and Chinese firms are well positioned to serve it. Solar is the leading example. Chinese firms produce roughly 80 percent of the world's solar panels and have invested in manufacturing capacity in Southeast Asia, the Middle East, and the United States. These investments are expansion, not relocation: firms add capacity abroad to serve local markets and avoid tariffs while maintaining and upgrading capacity in China.
Batteries follow a similar path. CATL, the world's largest battery manufacturer, has invested in factories in Germany, Hungary, and the United States, driven by demand from European and American automakers who want local supply chains. Carbon policy is a factor—the EU battery regulation requires carbon footprint disclosure—but market access is the primary driver. Chinese firms are using their technological lead to expand globally.
Electric vehicles are the third example. BYD has expanded into Europe, Southeast Asia, and Latin America, driven by demand. Carbon policy is a tailwind: the EU's 2035 ban on internal combustion engines creates a market for EVs, and Chinese firms are positioned to serve it.
The opportunity is real but concentrated. Firms with the technology and capital to expand globally are few. Firms without them face relocation pressure without the offsetting opportunity. The distributional consequences are significant and are the subject of Chapter 9.
4.3.5 The Limits of Relocation as a Strategy
Relocation is not a sustainable response to carbon policy. The carbon price is spreading. The EU has the CBAM. The US is considering a border adjustment. Japan, Korea, and Canada have carbon pricing. The countries Chinese firms have relocated to—Vietnam, Indonesia, Mexico—are beginning to adopt carbon pricing or face pressure to do so. The relocation destination of today may be the compliance jurisdiction of tomorrow. A firm that relocates to escape carbon pricing is running a race it cannot win, because the pricing follows the production.
A second limit is subtler. Relocation erodes the cluster advantages Chinese manufacturing built over three decades. The furniture firms of Houjie, the electronics assemblers of Shenzhen, the steel mills of Tangshan—these are not isolated factories. They are embedded in supplier networks, labor pools, logistics infrastructure, and the tacit knowledge that comes from proximity. A firm that moves to a greenfield industrial park in Vietnam loses access to that ecosystem. The loss is hard to quantify but shows up in lead times, quality defects, and the cost of training new workers. Firms that have relocated successfully moved entire supply chains, not single factories. Firms that moved alone have struggled.
A third limit is political. The Chinese government treats the dual carbon goals as a strategic opportunity rather than a constraint to be evaded. Policy documents describe the goals as a chance to leapfrog in green technology, build new competitive advantages, and lead in the global green economy. The government is unlikely to look favorably on firms that relocate to escape carbon pricing, and local governments that depend on manufacturing employment are even less likely. Relocation decisions are made in a political context that favors staying and upgrading, at least for firms with the capability to do so.
4.4 The Distributional Consequences: Who Wins, Who Loses
4.4.1 Winners: Firms with Measurement Capability and Green Technology
The winners are firms that have built measurement capability, invested in green technology, and have the balance sheet to finance the transition. The losers are firms that treated carbon as an externality, lack the capability to measure and manage emissions, and face the transition with weak finances.
The winners are not evenly distributed across industries. Technology-intensive firms—solar, batteries, EVs, electronics—are the clearest winners. They have the engineering capability to redesign products, the management systems to measure emissions, and the market access to sell green products. Capital-intensive firms—steel, aluminum, cement—are mixed. Large state-owned firms have the resources to invest in low-carbon processes and the political connections to secure subsidies and exemptions. Small private firms do not. Labor-intensive firms—furniture, apparel, toys—are the most exposed: thin margins, limited technical capability, fragmented market power. The transition is hardest for them.
The winners are also unevenly distributed across regions. Coastal provinces—Guangdong, Zhejiang, Jiangsu, Shanghai—have the industrial base, financial resources, and administrative capacity to manage the transition. Interior provinces—Shanxi, Inner Mongolia, Hebei—depend on carbon-intensive industries and have weaker fiscal capacity. The regional divergence is a source of political tension. Central transfer payments and carbon market revenue recycling are meant to address it, but the mechanisms are underdeveloped.
4.4.2 Losers: SMEs, Carbon-Intensive Clusters, and Vulnerable Workers
The losers are the small and medium-sized enterprises that dominate labor-intensive sectors. A furniture firm with 200 employees, 20 million yuan in capital, and a 3 percent net margin cannot easily absorb a carbon price increase or finance a solar installation. The owner may understand the strategic logic of upgrading, but the financial constraint binds. The firm may relocate, sell out, or exit. The choice reflects resources, not understanding.
The losers also include carbon-intensive clusters that depend on a single industry. The steel cluster in Tangshan, the coal cluster in Shanxi, the cement cluster in Hebei—these regions face a structural adjustment larger than any single firm. The adjustment involves plant closures, job losses, and fiscal stress. The central government has committed to a "just transition" for affected regions, but the commitment is vague and the funding limited. The transition will be painful, and the pain will be concentrated.
Workers are the most vulnerable. Coal miners, steel workers, workers in carbon-intensive supply chains—they face the loss of jobs that are well-paid and often unionized. The new green jobs—solar installers, battery technicians, energy auditors—require different skills and are often located in different regions. The mismatch is a source of hardship. Government retraining programs are a start but are not scaled to the size of the adjustment.
4.4.3 The Middle: Firms That Can Upgrade but Need Support
Most firms are in the middle. They have some capability, some resources, and some market access, but they are not leaders. They can upgrade with support—finance, technical assistance, market access—but not alone. The policy question is how to support the middle without protecting the laggards.
Support can take several forms. Green finance programs can provide low-cost capital for efficiency investments. Industrial extension services can provide technical assistance. Cluster governance mechanisms can provide shared infrastructure: a common solar installation, a shared emissions monitoring system, a collective certification scheme. Support works best when it is conditional on capability building rather than compliance alone. A subsidy that pays for a boiler upgrade without building the firm's capacity to identify and implement future upgrades is a missed opportunity.
The middle is where the book's argument about green governance capability matters most. Firms in the middle have the potential to build capability but need the right incentives and support. The dual carbon goals provide the incentives. The policy architecture provides some of the support. The gap is in cluster-level institutions that can help firms learn from each other, share costs, and access markets. That gap is the subject of Chapter 9.
4.5 The Policy Architecture's Coherence Problem
4.5.1 The Tension Between Carbon Pricing and Energy Targets
The policy architecture is not fully coherent. The carbon market, the energy targets, and industrial policies can pull in different directions. The most visible tension is between the carbon price and the dual control targets. The carbon price is meant to allocate abatement to the cheapest sources; the dual control targets cap total energy consumption and intensity. The two can conflict: a firm that switches to a less carbon-intensive fuel may increase total energy consumption, violating the dual control target even as it reduces emissions. The conflict was visible in the 2021 power shortages, when dual control targets forced power cuts that disrupted production while the carbon price remained too low to drive efficient abatement.
The tension is a design problem. The dual control system was built for a period when energy was scarce and efficiency was the priority. The carbon market was built for a period when carbon is the binding constraint. The systems need integration, with the carbon price becoming the primary instrument and energy targets secondary. The 14th Five-Year Plan commits to "improving the dual control system" and "making the carbon market the core instrument," but the transition is incomplete.
4.5.2 The Tension Between Central Targets and Local Implementation
The central government sets targets; local governments implement them. Local priorities—growth, employment, fiscal revenue—can conflict with carbon targets. The conflict is managed through the cadre evaluation system, which rewards local officials for meeting targets, but the evaluation system is imperfect: metrics are crude, data unreliable, enforcement uneven.
Uneven enforcement creates competitive distortion. A firm in a province with strict enforcement faces higher costs than a firm in a province with lax enforcement. The distortion is unfair and produces carbon leakage within China. The national carbon market is meant tolevel the playing field, but coverage is incomplete and the price is low. Leveling remains a work in progress.
4.5.3 The Tension Between Green Subsidies and Fiscal Constraints
Green subsidies are expensive. Central green finance programs, local solar subsidies, NEV purchase incentives—together they cost hundreds of billions of yuan a year. Fiscal capacity to sustain them is limited, particularly at the local level, where land sale revenue is declining and debt is rising. The subsidies are also distortive: they favor certain technologies and certain firms, and they can create overcapacity.
The policy challenge is to shift from subsidies to price signals. The carbon market is the primary price signal, but its price is too low. Electricity market reform is the secondary signal, but implementation is incomplete. The shift will take time, and the transition period will be messy. Firms that can adapt to a shifting policy environment will come out ahead.
4.6 What the Dual Carbon Goals Do Not Change
4.6.1 The Persistence of Cost Competition in Labor-Intensive Sectors
The dual carbon goals do not change the fundamental economics of labor-intensive sectors. Furniture manufacturing remains labor-intensive, cost-competitive, and driven by design and marketing as much as by production. The carbon price adds a cost, but the cost is small relative to labor. Firms that compete on cost will keep competing on cost; firms that compete on design will keep competing on design. Carbon policy is a new variable in the competitive equation, not a replacement for the old ones.
The persistence of cost competition has an implication for the green transition. Firms that cannot afford to upgrade will not upgrade, whatever the policy incentives. They will relocate or exit. Policy cannot force them to build capability they do not have. It can support them, but the support is limited. The realistic expectation is consolidation: capable firms grow, incapable firms exit, and the industry becomes more concentrated. Consolidation is already underway, driven by labor costs and automation. Carbon policy accelerates it.
4.6.2 The Limits of Carbon Pricing in Thin Markets
The carbon market is thin: trading volume is low, the price is volatile, and liquidity is limited. A thin market cannot efficiently allocate abatement, because the price signal is noisy and transaction costs are high. Thinness is a structural feature of the early market and will persist until coverage expands and financial products develop.
For firm strategy, the implication is that no firm can rely on the carbon market for a stable price signal. Each firm must form its own expectations about the future price and hedge against uncertainty. Expectations rest on policy announcements, on the experience of other markets, and on the firm's own analysis. Hedging can take several forms: investing in efficiency, diversifying energy sources, contracting with renewable generators, purchasing carbon offsets. Firms that hedge effectively will be less exposed to price volatility.
4.6.3 The Resilience of Cluster Advantages
The clusters—Houjie, Shenzhen, Tangshan—remain the most efficient places to produce, despite carbon costs. They have the supplier networks, labor pools, logistics infrastructure, and tacit knowledge that make production efficient. Carbon costs are a new layer of cost, but they do not erase cluster advantages. Firms that stay in the clusters and upgrade will be more competitive than firms that relocate and lose the cluster benefits.
For policy, the implication is to support cluster upgrading rather than cluster relocation. Support can take the form of shared infrastructure: a cluster-level solar installation, a shared emissions monitoring system, a collective certification scheme. Shared infrastructure lowers the cost of compliance for individual firms and builds the cluster's collective capability. The governance mechanisms that can deliver it are the subject of Chapter 9.
4.7 The Evidence Base: What We Know and What We Don't
4.7.1 The Strengths of the Evidence
The evidence is strongest in three areas. Policy design—targets, instruments, implementation mechanisms—is well documented. Cost arithmetic—the carbon content of products and the cost of carbon pricing—can be calculated with reasonable precision. Firm-level case evidence—firms that have invested in measurement and reduction versus firms that have not—can be observed and compared.
The case evidence is particularly valuable because it shows the mechanisms at work. A furniture firm in Houjie that installed rooftop solar, a steel firm in Tangshan that invested in an electric arc furnace, an electronics supplier in Shenzhen that built a supply chain emissions database—these cases show how the policy channels operate in practice. They are not representative, but they are instructive. They show what capability looks like and what it delivers.
4.7.2 The Weaknesses of the Evidence
The evidence is weakest on causal attribution, the counterfactual, and dynamic effects. Relocation and competitiveness outcomes are driven by multiple factors, and isolating carbon policy's contribution is difficult. We do not know what would have happened without the dual carbon goals, and the models that estimate the counterfactual rest on assumptions that may not hold. The policy is young, and long-run effects on investment, innovation, and industrial structure are not yet observable.
These weaknesses limit confidence in precise estimates, not in the direction of the effects. The direction is clear: the dual carbon goals raise the cost of carbon-intensive production, reward firms with measurement and reduction capability, and create opportunities for green technology firms. The mechanisms—cost, market, expectation—are observable.
4.7.3 What Would Change the Conclusions
The conclusions would change if the carbon price stayed low and the CBAM were delayed or diluted. A low price would weaken the cost channel; a weak CBAM would weaken the market channel. The expectation channel would weaken too, as firms discounted the credibility of the 2060 target. The scenario is possible: carbon market expansion could stall, trade negotiations could dilute the CBAM, and political commitment to the 2060 target could waver. It is not the base case, but it is a risk.
The conclusions would also change if the green premium turned out larger than the evidence suggests. A large premium would reward firms investing in green products and accelerate upgrading. The premium is uncertain and the evidence mixed. Firms betting on it are making a strategic bet, not a certain calculation.
A third possibility: cluster governance mechanisms could prove more effective than expected, lowering compliance costs for SMEs, accelerating learning, and building collective capability. The mechanisms are underdeveloped but have potential. That potential is the subject of Chapter 9.
4.8 The Strategic Implications for Firms
4.8.1 The Case for Early Investment in Measurement
Firms that measure their emissions can manage them; firms that do not cannot. Measurement investment is unglamorous—meters, data systems, trained staff—but it is the foundation for everything else. Firms with measurement systems can respond to the CBAM's reporting requirements, identify abatement opportunities, and credibly claim green credentials. Firms without them are flying blind.
Measurement is also a signal. A firm that measures its emissions signals to regulators, customers, and investors that it is serious about the transition. The signal reduces the information asymmetry that plagues green markets. Firms that signal credibly can access green finance, win green contracts, and build green brands. The signaling value is largest for firms in the middle, where information asymmetry is greatest.
4.8.2 The Case for Cluster-Level Collaboration
An individual firm's capability is limited; a cluster's collective capability is larger. Collaboration can take several forms: shared infrastructure, shared data systems, shared certification, shared training. It lowers the cost of compliance and accelerates learning. Firms that collaborate can achieve what they cannot achieve alone.
Collaboration is not automatic. It requires governance—rules, incentives, enforcement. The cluster governance mechanisms that can deliver it are underdeveloped in most Chinese clusters but are emerging. Firms that invest in them will be better positioned for the transition.
4.8.3 The Case for Market Diversification
The dual carbon goals and the CBAM make the European market more demanding. Firms that depend on Europe face higher compliance costs and greater market access risk. Diversification into Southeast Asia, the Middle East, and Latin America reduces the risk. It is a hedge, not a retreat.
Diversification is also an opportunity. Emerging markets are growing and their environmental standards are rising. Firms that enter early can build position and shape standards. Firms that wait will face more competition and higher standards.
4.8.4 The Case for Policy Engagement
The dual carbon goals are a policy-driven transition, and firms that engage with the policy process can shape the rules. Engagement can take several forms: participating in the carbon market's design consultations, joining industry associations, collaborating with local governments on cluster upgrading. This is participation in the design of the transition, not lobbying for exemptions.
Engagement matters most for SMEs, which have less voice than large firms and whose interests are often overlooked. Industry associations can aggregate SME interests and represent them in the policy process. The associations are underdeveloped in many clusters, but they are a channel. Firms that use the channel can shape the transition.
4.9 What the Chapter's Evidence Shows
The three channels are not equally strong, and they do not point in the same direction for every sector. For steel and aluminum, the cost channel dominates: a 200 yuan carbon price plus a CBAM charge changes the economics of a blast furnace in a way that a furniture factory never experiences. For electronics, the market channel dominates: Apple's supply chain requirements bind long before any carbon price reaches the supplier's electricity bill. For furniture, the expectation channel does most of the work, and it does it weakly—the carbon price is too small to force upgrading, and the market pull is too thin to reward it on its own.
That asymmetry is the chapter's main empirical finding, and it sets up the sector-differentiated analysis that follows. It also explains why the policy architecture's coherence problem matters more than any single instrument's design. A firm in Tangshan responds to the carbon price, the dual control target, and the local government's growth priorities all at once, and those three signals can contradict each other within a single budget cycle. The 2021 power shortages were the clearest demonstration: dual control enforcement cut production while the carbon price stayed too low to reward the firms that had invested in efficiency.
The distributional picture is equally uneven. The winners—firms with measurement systems, engineering capability, and access to cheap capital—are concentrated in technology-intensive sectors and coastal provinces. The losers—SMEs in labor-intensive clusters, carbon-intensive interior regions, workers in declining supply chains—are concentrated where fiscal and administrative capacity to manage the adjustment is weakest. The middle, where most firms sit, can upgrade only with support that is conditional on capability building rather than on compliance alone.
One number from the chapter's own material captures the strategic stakes. A furniture firm that installs rooftop solar cuts its electricity costs by 20–30 percent and pays back the investment in five to seven years. A steel firm that relines a blast furnace instead of building electric arc capacity locks in 15–20 years of carbon exposure at a price that is rising. Both decisions are being made now, in the same policy environment, by firms reading the same 52.78 yuan opening price. The difference is not information. It is capability, balance sheet, and the length of the horizon each firm can afford to plan on.