In order to visualize and build a bibliometric network, this paper uses VOSviewer (version 1.6.20) and CiteSpace (version 6.4.R1) for bibliometric analysis (Moral-Muñoz et al., 2020; Todeschini, 2016). “VOSviewer, developed by Leiden University in the Netherlands, facilitates in-depth analysis of citation networks, co-citations, keyword co-occurrence, and international cooperation (van Eck and Waltman, 2017). Because it can simultaneously draw a network diagram and detect clusters in the network, the software can be combined with cluster analysis methods to divide the network into different clusters (Arruda et al., 2022). The CiteSpace software, created by Professor Chen Chaomei, is based on the Java platform to detect and identify the emergence and development of new technologies (Chen, 2014). CiteSpace can quickly understand the latest developments in literature, locate relevant information, such as core research literature, authors, etc., and draw a chronological chart of citations based on the relationship between literature development and the evolution of the field (Chen, 2017).
Between 2009 and 2024, we collected 300 and 499 articles related to BCAs from the WOSCC database and the CNKI database, respectively. Figure 2 illustrates the annual publication trends in both databases. For WOSCC, the initial publication count stood at 2 articles in 2009, rising to 17 by 2012 as the EU Aviation Carbon Tax dispute prompted academic discussion on carbon tariff legitimacy (Mendes and Santos, 2008). The 2015 Paris Agreement stimulated research on carbon leakage, with a rebound in related articles to 13 in 2016 (Christoff, 2016). However, the U.S. withdrawal from the Paris Agreement in 2017 resulted in a decline in publications from 2017 to 2019 (Pickering et al., 2018). Subsequently, the EU’s CBAM proposal in the 2019 European Green Deal reignited BCA research (Siddi, 2020). For CNKI, China’s initial carbon intensity pledge at the 2011 Copenhagen Conference (COP15) (Christoff, 2010) and emphasis on low-carbon economic development in domestic policies sparked academic interest (average of 88 articles per year in 2010-2011). The establishment of China’s carbon market in 2013 partially diverted research attention, leading to a subsequent decline in publications (Jiang, 2014). Until 2019, the EU CBAM proposal prompted a recovery in BCA-related publications, albeit not reaching previous peaks. A comparative analysis reveals that academic research is closely linked to policy, with WOSCC reflecting global policy trends and CNKI potentially emphasizing Chinese policy responses.
BCA research has garnered global attention and is currently being conducted in 46 countries or regions worldwide. Table 1 lists the top 10 countries/regions in terms of the number of publications, along with information such as total citations, average citations, and h-index. China leads with an absolute advantage, publishing 90 articles (30%), followed by the United States with 67 (22.33%), and Germany with 54 (18%). Together, these three countries account for 70.33% of the total publications, serving as the main contributors and leaders in this field. In terms of citations, the United States ranks first with 1864 total citations, Germany second with 1683, and China third with 939. Notably, despite China’s high ranking in total citations among the top ten, its average citations are significantly lower, at only 10, compared to Germany’s 31 and the United States’ 28. Additionally, Norway has the highest average citations, with 43. In terms of the h-index, China, the United States, and Germany have values of 17, 24, and 23, respectively, which are notably higher than those of other countries, reflecting their higher academic standards.
Figure 3 presents a national geographical visualization cooperation network map generated by VOSviewer, which screens the top 30 countries in terms of BCA publications with a minimum of two articles. The network is divided into seven clusters, each represented by a distinct color. The size of the nodes indicates the number of publications, while the connections between them symbolize cooperation (Van Eck and Waltman, 2011). It is evident that key countries in the BCA field are primarily located in Europe, North America, and Asia. In Europe, Germany, Norway, and Spain stand out with significant network nodes, aligning with the EU’s position as an early international organization promoting climate policy and reflecting the advanced exploration of European countries in mitigating climate change (Oberthür and Roche Kelly, 2008). In addition, the United States and China also demonstrate robust research strength and influence (Bao et al., 2013). The dense and intertwined connections between these three countries — the US, China, and Germany — not only reveal their core roles in the global BCA network but also showcase their crucial function as bridges connecting different continents and fostering transnational cooperation (Kuehner et al., 2022).
Through the analysis of 464 research institutions, important institutions and cooperation networks for BCA research can be identified. Table 2 details the top ten research institutions in productivity and their information. Carl Von Ossietzky Universität Oldenburg leads with 16 publications (5.33%), followed by the University of London with 8 (2.67%). Beijing Institute of Technology, Massachusetts Institute of Technology, Tsinghua University, and the University of Wisconsin System tie at 7 (2.33% each). In citations, Carl Von Ossietzky Universität Oldenburg (906 citations, avg. 57 per paper) and the University of Wisconsin System (507 citations, avg. 72 per paper) significantly outperform others. Statistics Norway ranks third (231 citations, avg. 46 per paper). Notably, Carl Von Ossietzky Universität Oldenburg also boasts the highest h-index of 14, affirming its leading role in BCA research.
Figure 4 showcases an institutional cooperation network in the field of BCA produced by CiteSpace. In this network, nodes represent institutions, filtered using the g-index method with a threshold K set at 100 to include a broader range of institutions. The research spans from 2009 to 2024, employing an annual slicing approach (Chen, 2014). The display strategy for node labels is to showcase only those institutions with more than 4 publications. The size of the nodes reflects the number of publications, while the color represents the publication timeline. The density of connecting lines indicates the intensity of cooperation (Wang and Lu, 2020). Early institutions that were deeply involved in this field, such as Carl Von Ossietzky Universität Oldenburg, Statistics Norway, Norwegian University of Life Sciences, and University of Wisconsin System, have laid a solid foundation for the initial construction of a theoretical framework, but activities have slowed down in recent years (Christoph Böhringer et al., 2012a, 2012b; Böhringer et al., 2016; Böhringer et al., 2014). Although the cooperation networks of Beijing Institute of Technology, Xiamen University, Tsinghua University, Australian National University are relatively sparse, they have all shown a high degree of activity in the current field, reflecting their exploration of the frontiers of the field (Ren et al., 2023; Siy et al., 2023; Sun et al., 2024).
Through an analysis of 712 authors and 6462 co-cited authors, significant authors and collaborations in this field have been identified. Table 3 lists the top ten authors by publication volume and the top ten co-cited authors by citation count. Boehringer tops the list with 12 papers, closely followed by Jakob with 7. Tied in third place with five papers each are Overland, Rutherford, Fischer, and Rosendahl. Notably, despite similar publication volumes among these top authors, there are significant differences in citation counts. Boehringer leads with 766 citations, while Jakob and Overland have relatively lower totals of 123 and 64 citations, respectively. Rutherford and Fischer also stand out in terms of citations, with 542 and 482, respectively, demonstrating strong influence. In terms of average citations per paper, Rutherford ranks first with 108, followed by Fischer with 96 and Boehringer with 64. These three authors excel both in output and academic influence within the BCA field.
Figure 5 is a co-cited author chord diagram generated by VOSviewer in conjunction with the Charticulator website. It displays the co-occurrence among 26 highly cited authors, each cited over 40 times. The entire circle is divided proportionally based on the citation frequency of each author. The wider the chord segment, the stronger the co-citation relationship between the authors it represents. Boehringer, Fischer, and Branger rank among the top three in terms of citations, with 407, 117, and 103 citations, respectively. Furthermore, authors such as Boehringer, Babiker, Fischer, Hoel, Kuik, Monjon, Nordhaus, and others have demonstrated close co-citation relationships, revealing their high correlation and mutual influence within academic research and knowledge contexts.
A total of 122 academic journals have published articles in the BCA field, with the top ten in publication volume and citation listed in Table 4. The top ten journals account for 38.67% of total publications, six of which are also in the top ten most cited. “Climate Policy” published the most articles (23), with 486 citations. “Energy Economics” followed with 22 articles, but had a higher total of 843 citations. “Energy Policy” published 19 articles, with a total of 565 citations. These three are high-quality Q1 journals in the JCR, with IFs of 5.3, 13.6, and 9.3, respectively.
This study generates, for the first time, a dual-map overlay of BCA journal research (Fig. 6). The left half shows the discipline distribution of the citing journals (in dark yellow), representing the research frontier. The right half displays the discipline distribution of the cited journals (in light blue), reflecting the knowledge base (Chen, 2006). The numbers in parentheses next to the journal names indicate publication volumes (on the left) and citation counts (on the right). The colors of the arcs match those of the citing journals, and the ellipses represent journal clusters, with the number of ellipses reflecting the quantity of journals within each cluster (Chen, 2014).
Based on Fig. 6, we observe two clusters of citing journals on the left. The top-left cluster (in bright yellow font) includes [10] Journal of Cleaner Production, categorized under “Veterinary, Animal, Science.” The bottom-left cluster (in dark blue) comprises [19] Energy Policy, [22] Energy Economics, and [23] Climate Policy, all focusing on “Economics, Economic, Political”. This indicates that these disciplines are at the forefront of BCA research, reflecting in-depth exploration of energy policies and climate change from economic, political, and scientific perspectives. On the right, the cited journal cluster (in dark blue) including [725] Energy Policy and [697] Energy Economics, among others, predominantly focuses on “Economics, Economic, Political,” demonstrating that these disciplines are not only at the cutting edge of BCA research but also serve as the foundational disciplines supporting the study. A smaller subset, [147] Applied Energy and [247] Journal of Cleaner Production, focuses on “Environmental, Toxicology, Nutrition,” highlighting that these disciplines provide indispensable knowledge support for BCA research and showcasing the unique appeal of interdisciplinary integration in BCA research.
This paper is based on a complementary analysis using both VOSviewer (Van Eck and Waltman, 2011) and CiteSpace (Chen, 2006) software to construct a co-occurrence network with 1113 keywords. The screening criteria were set as a co-occurrence frequency of no less than 7 for the analysis conducted using VOSviewer (as depicted in Fig. 7) or no less than 10 for the analysis conducted using CiteSpace (as shown in Fig. 8). The node size reflects the keyword frequency, and the colors and lines correspond to a year color scale. Since BCA is a policy instrument and inextricably linked to national regulations, the keyword timeline is analyzed in conjunction with policies.
Co-citation analysis is defined as the relationship formed when two documents are jointly cited by a third document (Chen, 2006). Using CiteSpace, we analyzed 300 articles with 10,624 cited references, generating 64 clusters (Fig. 9), of which 13 key clusters were identified(Blashfield and Aldenderfer, 1978). Parameters were set with references as nodes (K = 25) and clustered via the LLR algorithm. In Fig. 9, node size reflects citation frequency, node color denotes temporal distribution (red: high-burst; purple circles: centrality >0.1), and inter-cluster connections reveal thematic dependencies (Chen, 2006). Cluster #0 (“carbon border adjustment mechanism”) dominates the network with dense purple-red nodes, confirming its centrality as a research frontier. Strong linkages exist among #1 (“carbon leakage”), #2 (“European carbon border adjustment”), #3 (“designing border carbon adjustment”), and #5 (“climate policy”).
The design evolution of BCA reflects three phases of academic exploration (#3, #8). First, early studies by Bradley et al. (2008) examined carbon leakage risks in US climate policy frameworks, aiming to explore climate policy under a level playing field. van Asselt and Brewer (2010) compared policy discussions in the U.S. and the European Union on how to address competitiveness and carbon leakage issues and believe the focus should be on the BCA measure. Monjon and Quirion (2010) proposed initial design considerations, recommending import adjustments through quota requirements (rather than taxes) to align with WTO compliance, export tax rebates linked to domestic emissions, and industry targeting based on carbon leakage risks and indirect emissions. Subsequently, Mehling et al. (2019) analyzed the legal implications of BCA design under international law, proposing partial revenue allocation to developing countries as a potential equity mechanism. Cosbey et al. (2019) improved benchmark methodologies by evaluating trade-offs between actual emissions data and industry standards, alongside practical challenges such as third-party verification costs. Finally, Keen et al. (2022) outlined unresolved design complexities, including debates over sectoral coverage, direct/indirect emissions accounting, carbon intensity measurement protocols, and exemptions for least-developed countries.
The effectiveness of BCA as a tool to address carbon leakage and competitiveness concerns has been extensively examined (#1, #5, #7, #11, #12): First, Branger and Quirion (2014a) suggested that well-designed BCA policies could cost-effectively mitigate carbon leakage, with subsequent meta-analysis of 310 leakage rates indicating a 6-percentage-point reduction under BCA implementation (Branger and Quirion, 2014b). Sectoral analyses further revealed BCA’s stronger leakage reduction in steel industries compared to mineral sectors (Kuik and Hofkes, 2010). Of course, there is no perfect policy tool, and BCA can effectively reduce carbon leakage, but the scope of global cost savings is small (C. Böhringer et al., 2012a, 2012b). However, compared with other policy tools, BCA still has certain advantages. Winchester (2018) demonstrated BCA’s superiority over strategic tariffs in minimizing welfare losses for non-restricting economies like the U.S. under Paris Agreement scenarios. Finally, evaluations of policy alternatives showed BCA’s effectiveness in reducing leakage and improving cost-efficiency compared to industry exemptions or output-based allocations, albeit exacerbating regional inequality (Christoph Böhringer et al., 2012a, 2012b). Comprehensive border adjustments, despite controversy, were identified as the most impactful approach when contrasted with import/export taxes or domestic rebates (Fischer and Fox, 2012).
The implementation of BCA in globalized supply chains faces three interconnected challenges (#9, #10). First, accurately measuring the carbon content of imports/exports remains a fundamental hurdle due to spatially fragmented production systems, where intermediate goods cross borders multiple times — amplifying tax revenue impacts and complicating carbon accounting (Zhang and Zhu, 2017; Zhang et al., 2017). Second, BCA exerts reactive effects on supply chain dynamics: Schenker et al. (2018) found divergent impacts on European industries, with upstream sectors benefiting from protection while downstream sectors faced negative consequences. Third, sector-specific analyses reveal broader implications. As demonstrated by López et al. (2015), BCA influences agricultural value chains and food mileage.
The global impacts of BCA, particularly the EU’s CBAM, reveal three critical dimensions (#0, #4). First, carbon-intensive industries and developing economies face disproportionate burdens — GTAP-e 11.0 and TOPSIS models indicate significant GDP and welfare losses in major steel-trading nations (Shuai et al., 2024), while energy-intensive sectors in both developing and developed economies experience asymmetric disadvantages relative to policy-imposing regions (Deng et al., 2024). Second, regional analyses identify Eastern European (Balkan states) and African economies (Mozambique, Zimbabwe, Cameroon) as most vulnerable, with Morocco and Tajikistan also exhibiting high socioeconomic sensitivity (Magacho et al., 2024). Finally, risk-index assessments confirm Africa’s heightened exposure across scenarios, where emission-intensive industries and national economies face systemic vulnerabilities (Eicke et al., 2021). These findings collectively underscore the spatially heterogeneous consequences of BCA implementation.
Post-implementation responses to BCA reveal three strategic dimensions (#2, #6). First, WTO disputes over BCA legality may trigger trade retaliation, with energy exporters favoring reciprocal tariffs to offset EU measures and enhance product competitiveness — though such actions risk damaging trade partnerships without fully neutralizing EU industrial gains (Clora et al., 2023; Fouré et al., 2016; Lim et al., 2021). Second, cooperative strategies prove more sustainable: dynamic game theory models suggest active stakeholder engagement (e.g., EU dialogue, low-tech advancement, market diversification, and domestic carbon pricing) can mitigate BCA impacts while improving cost efficiency (Huang et al., 2022; Ren et al., 2023). Finally, EU-centric analyses propose predictive frameworks to gauge global positions — evaluating trade dependencies, carbon intensity, WTO litigation tendencies, public climate sentiment, and innovation capacity — while exploring domestic political incentives and citizen-driven policy support (Jakob, 2023; Overland and Sabyrbekov, 2022; Sabyrbekov and Overland, 2024).
Figure 10 (manually translated from Chinese) presents the results of a temporal cluster analysis of CNKI keywords, revealing a three-phase evolution in China’s BCA research through keyword dynamics, while offering a Chinese scholarly perspective for this review (Yan et al., 2023).
Phase 1 (2009-2015): High-frequency keywords such as “BCA”, “climate change”, “international trade,” and “counterplan” epitomized Chinese academia’s passive responsiveness to external pressures. Research centered on defensive responses to Euro-American BCA measures, primarily relying on WTO rule-based compliance analysis, yet most studies remained confined to interpretive levels (Zhao and Guo, 2013). The dominant paradigm employed qualitative assessments using a hybrid “bibliometric + expert consultation” approach, with a scarcity of systematic empirical case studies (Yu, 2013). Notably, due to the absence of domestic firm-level carbon data, studies often constructed multi-regional models using OECD inter-country input-output tables, resulting in significant contextual mismatches (Lin and Li, 2012).
Phase 2 (2015-2020): Literature output during this period exhibited a pronounced trough, with annual CNKI publications dropping to single digits. However, the emergence of keywords like “carbon finance” and “carbon pricing” indicated a shift in focus toward domestic carbon market development and international rule alignment mechanisms (Zhang et al., 2016). Additionally, there was a marked increase in the application of CGE models, simulating BCA impacts on China’s GDP (Li and Wang, 2016).
Phase 3 (2020-2024): Following the explicit articulation of “carbon peak” and “carbon neutrality” strategic goals, over 80% of studies incorporated these as strategic contextual parameters for BCA research (Zhang, 2021). The prevalence of the keyword “coping suggestion” confirmed the diffusion of dynamic CGE models and MRIO analysis, with enhanced parameter estimation precision (Bo et al., 2024). Core concepts such as “carbon markets”, “carbon footprints,” and “digital finance” revealed ongoing efforts to construct an integrated analytical framework linking BCA and domestic carbon markets (Deng and Yin, 2022).
The evolution of research foci, as evidenced by keyword dynamics, reveals China’s BCA scholarship is transitioning from responsive adaptation to proactive institutional innovation within the global climate governance architecture. When contextualized against international counterparts — where EU studies emphasize technical refinement of compliance mechanisms (Overland and Sabyrbekov, 2022) and US research explores value chain carbon cost internalization(Leonelli, 2023) — China’s emerging research paradigm may offer referential pathways for economies navigating common governance dilemmas during low-carbon transition.
Preprints offer emergent discourse analysis for frontier policy debates (Silagadze, 2023). In the BCA field, there are a total of seven articles, among which three were published before 2020. Zafar (2013) found that migrating to 4 G services could reduce carbon emissions by 63% for network operators, thereby demonstrating how technological transitions can align with BCA policy objectives while bringing further economic benefits. Farrahi Moghaddam et al. (2013) proposed IIGHGINT: A generalization to the modified GHG intensity universal indicator toward a production/consumption insensitive BCA. Schofield et al. (2016) presented a baseline-free method to identify responsive customers on dynamic time-of-use tariffs. The remaining 4 newer articles mainly focused on technological innovation and emission reduction. Gupta et al. (2025) discovered that smarter charging habits could reduce costs and carbon emissions for individual electric vehicle owners without significantly altering behavior or sacrificing user preferences. Becker et al. (2025) investigated the effect of electric vehicles, heat pumps, and solar panels on low-voltage feeders using evidence from smart meter profiles. Lee et al. (2022) explored reinforcement learning-based cooperative P2P power trading between DC nanogrid clusters with wind and PV energy resources. Wozny et al. (2023) proposed addressing carbon leakage challenges through methods inspired by CBAM and Climate Clubs, demonstrating the effectiveness of their approach by comparing simulated outcomes to representative concentration pathways (RCP) and shared socioeconomic pathways (SSP).
To further deepen the exploratory analysis of research frontiers, this study will conduct in-depth mining of the latest clustering outcomes (Cluster 0 and Cluster 6) generated through co-citation clustering of literature in the WOSCC database as independent datasets. With the co-occurrence frequency threshold set to 1, the latest chronological sequence diagrams of keywords are presented in Figs. 11 and 12. Based on the keyword co-occurrence diagram, future research directions are classified into five focal points.
The prominence of keywords including “climate clubs”, “EU CBAM”, “Paris Agreement”, and “developing countries” signals intensifying debates on multilateral rule-making and policy coordination. Implementing nations in the future may employ necessity tests to position BCA as the “least trade-restrictive” climate measure, while proportionality tests could cap BCA tax levels to mitigate carbon leakage risks. A potential WTO “climate exception clause” might legitimize science-based BCA frameworks. climate clubs require critical evaluation of their compliance with the Paris Agreement’s “common but differentiated responsibilities” principle to prevent North-South divisions (Tagliapietra and Wolff, 2021). Furthermore, existing studies predominantly focus on developed nations; future research should analyze heterogeneous developing countries, simulating BCA trade impacts on varying economic development levels and assessing differential export repercussions (Chu et al., 2024). High EU trade-dependent nations could model carbon cost pass-through capacities (Beaufils et al., 2023; Kitetu and Ko, 2024). Developing countries might also establish climate alliances or innovate South-South cooperation mechanisms to pursue international policy harmonization.
The prevalence of keywords including “steel enterprises”, “plastic trade,” and “global supply chains” underscores sector-specific policy refinement needs under evolving BCA mechanisms (Rübbelke et al., 2022). While the EU CBAM currently targets six sectors (iron/steel, aluminum, cement, fertilizers, electricity, hydrogen) as a foundational framework (Pató et al., 2022), future BCA frameworks could refine three research priorities: (1) Industry expansion to high-leakage-risk sectors like glass and ceramics, guided by national industrial profiles (Hancock and Wollersheim, 2021). (2) Pricing mechanism innovations combining long-term fixed rates for cost stability with short-term floating rates reflecting market dynamics. (3) Regulatory upgrades extending emission scopes to full lifecycle analysis, implementing multi-benchmark systems with dynamic defaults for data-deficient firms, and enforcing tiered supply chain disclosures with carbon transfer coefficients (Jia et al., 2025). Enhanced third-party verification protocols featuring cross-checks and fraud penalties further complete this framework (Li et al., 2023).
The prominence of keywords including “climate justice”, “carbon inequality,” and “burden-sharing rules” underscores accelerating discourse on ethical governance frameworks (Mintz-Woo, 2024). Future systematic solutions could evolve through three dimensions: First, distributive justice via dynamic Carbon Debt Index (CDI) models — integrating historical emissions, GDP per capita, and climate vulnerability — to enable algorithm-driven BCA tax adjustments (Li et al., 2023). Second, procedural justice requires multinational BCA ethics committees to audit policy marginalization effects and arbitrate carbon tariff disputes, while mandating Climate Justice Funds to oversee developed nations’ financial commitments. Third, restorative justice through quota-linked technology transfers, exemplified by EU-led “Technology for Carbon Quotas” programs granting CBAM fee reductions to developing countries adopting certified low-carbon solutions (Perdana and Vielle, 2022).
Keywords like “carbon pricing,” “carbon fees,” “cap-and-trade,” “export companies,” and “futures market” represent the emergence of new policy tools and their economic implications (Hamaguchi, 2024; Shen et al., 2023). Future advancements are anticipated to prioritize three trajectories: First, quantifying the “volatility suppression effect” through EU ETS-BCA interaction analyses will likely dominate research agendas, particularly in assessing how declining free quotas shape carbon price stability, supported by liquidity management tools such as quota reserve pools. Second, carbon tariff futures contracts with cross-cycle hedging mechanisms are expected to mitigate cost risks for export-dependent industries, contingent on integrating blockchain-enabled smart contracts into MRV systems for automated clearing and transparency. Third, embedding climate model projections into actuarial frameworks is foreseen to enable carbon tariff insurance derivatives, accelerating low-carbon transitions through refined risk pricing(Li et al., 2024). Collectively, these innovations are poised to reduce transaction friction while aligning financial mechanisms with climate imperatives.
Emerging analytical tools, including “CGE Model,” “GTAP-E Model,” and “MRIO Model,” signal future breakthroughs in empirical and technical domains(Lin et al., 2024). First, simplified BCA policy response models for developing countries — operable with limited export-sector emission data and historical carbon prices — could bridge empirical gaps in Southeast Asian contexts. Second, technical integration of MRIO into dynamic GTAP-E frameworks is expected to simulate BCA’s dual-phase impacts on global supply chains, while complex network models may enable real-time tracking of hydrogen/CCUS technology diffusion via low-carbon diffusion maps (Li et al., 2023). Third, CBAM exemption mechanisms could evolve through technology-industry correlation matrices, automatically excluding sectors surpassing zero-carbon technology penetration thresholds. Finally, multimodal AI systems integrating ERP data with regulatory databases are projected to automate carbon accounting and CBAM reporting, revolutionizing compliance workflows.
This study utilized CiteSpace to extract the latest keyword data from CNKI’s BCA-related literature (Table 5), supplementing global frontier predictions with insights from Chinese research perspectives. Future investigations may focus on synergistic effects between “digital finance” and “dual carbon goals,” exploring blockchain-enabled optimization of cross-border carbon data traceability and automated BCA settlements via digital currencies(Shi et al., 2024). AI-driven dynamic “carbon forecasting models” could emerge as innovative tools to enhance “free allowance” allocation and policy resilience design. Compared with conventional carbon pricing mechanisms, “green technological innovations” (e.g., hydrogen steelmaking) and “carbon financial derivatives” (e.g., green bonds linked to carbon futures) may facilitate digital governance paradigm upgrades, offering technical references for global carbon markets(Ju and Liu, 2024).
Differentiated BCA designs can employ multi-indicator quantitative methods such as the “entropy weight method” to balance regional development and emission reduction targets, for instance, by integrating “carbon sink compensation” with tiered taxation mechanisms (Zhang et al., 2025). At the industrial level, synergies between “low-carbon standards” and technologies (e.g., full life cycle accounting of new energy vehicle batteries) may expedite international mutual recognition processes. The “friend-shoring outsourcing” cooperation model could provide developing countries with strategies to navigate green trade barriers while promoting the establishment of regional standard alliances (Pan and Lu, 2024).
The integration of cross-border data compliance management with lightweight carbon accounting tools could support developing countries in jointly implementing carbon sink trading and technology-for-carbon-credit swaps (e.g., clean energy in exchange for carbon credits). A flexible cooperation framework may replace the rigid climate club model, permitting differentiated emission reduction pathways while utilizing “scenario modeling” to anticipate policy shocks (Li and Liu, 2024). Such mechanisms hold potential for mitigating carbon cost transfer risks and facilitating the evolution of a multilateral low-carbon regulatory network (Li, 2024).
