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Sustainably managing municipal solid waste (MSW) is a global challenge since the existing MSW processing procedure releases greenhouse gases and is economically unfriendly. An emissions trading scheme (ETS) is a market-based approach for policymakers to reduce sectoral carbon emissions while maintaining economic efficiency. Hitherto, no waste optimisation framework links ETS to carbon reduction and identifies the trade-offs between the cost of carbon credit trading and waste expenses, rendering doubt of ETS's effectiveness in the waste sector. In this study, an MSW-ETS framework is developed to analyse the potential impact of ETS on the MSW management system incorporating multiple waste types, disposal and treatment facilities, and waste-based products. A multi-objective optimisation model is integrated with the MSW-ETS framework to achieve mutual environmental and economic benefits. Malaysia is selected as an illustrative case study considering its unsustainable MSW disposal and the recent carbon trading plans announced by the government. Simulation of the carbon prices alters Malaysia's MSW management configuration at 363 MYR/tonne CO2-eq, providing insights on developing the carbon price floor for a Malaysian ETS. Six MSW management configurations under different scenarios that can achieve up to 160% GHG emissions reduction were also proposed. The MSW-ETS framework integrated with the multi-objective optimisation model could be replicated by other countries planning to phase the waste sector into ETS coverage. [ABSTRACT FROM AUTHOR]

Purpose: The European Union's Emissions Trading System (EU ETS), which is already one of the EU's most impactful instruments for reducing greenhouse gases (GHGs), will soon include the maritime transport industry. Although ports are this industry's most environmental-friendly component, there are still some barriers to including ports in the system. Therefore, the purpose of the study is to identify these barriers and to reveal the barriers' interrelationships. Design/methodology/approach: The study was conducted by identifying barriers from a literature review before analyzing the barriers with the Fuzzy DEMATEL method. Finally, based on the Complex Adaptive System Approach, various solutions are proposed to overcome these barriers. Findings: The identified barriers were grouped into cause-and-effect groups. Two barriers, namely long payback period and high investment costs, were evaluated as triggers of the model while the others were more sensitive to the model. Research limitations/implications: This study only includes the perceptions of green certificated ports in Türkiye. The results revealed an expectation that elimination of financial concerns will alleviate other barriers to including ports in the system. The study's findings can guide port managers on the integration of the managers' processes into the system. Originality/value: This study provides novel findings regarding the relationships between barriers hindering ports from involvement in the EU ETS. [ABSTRACT FROM AUTHOR]

Coal‐fired power plants minimize costs subject to output and emission constraints. We model the plants' choice of coal quality and emission abatement to minimize costs under these constraints, allowing for heterogeneous unobserved generation productivity and abatement efficiency. We derive and estimate the plants' cost functions to recover the production technologies. Our data set is a balanced panel of 76 U.S. coal‐fired power plants from 1995 to 2005, when the emission permit trading system was viable. We find a dramatic growth in abatement efficiency, a major goal of the Acid Rain Program. By contrast, the growth in generation productivity is positive but small. [ABSTRACT FROM AUTHOR]

This paper uses green innovation and environmental pollution as the mediating variables to construct a mediating effect model to investigate whether China's carbon emission trading policy can improve regional eco-efficiency by reducing regional environmental pollution and stimulating green innovation. This study is based on panel data from 30 provinces and municipalities directly under China's central government and autonomous regions from 2003 to 2019. The eco-efficiency of these provinces is measured using the super-efficiency DEA model and the difference-in-difference method (DID). The results show that (1) China's emission trading policy significantly improves regional ecological efficiency and the per capita GDP. The improvement can effectively improve regional ecological efficiency. (2) The mediating effect of green innovation and environmental pollution is significant. That is, China's carbon emission trading policy further improves regional ecological efficiency by stimulating more green innovation and reducing the synergy brought by environmental pollution. (3) There are differences in the feedback of this impact mechanism between different regions: It shows the characteristics of the western region being more significant than the eastern region. The central region has no significant effect. The research conclusion can provide a policy reference for the subsequent unified promotion of the construction of a carbon emission trading market nationwide and a theoretical basis for helping to achieve the "dual carbon" goal. [ABSTRACT FROM AUTHOR]

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Purpose: This paper aims to assess the impact of energy economic instruments and macroeconomic stabilization on decarbonization in the Central and Eastern European Countries (CEECs) from 2005 to 2019. The central research hypothesis (H) is "The impact of economic instruments and macroeconomic stabilization on decarbonization varies in the Central and Eastern European Countries from 2005 to 2019". Design/methodology/approach: We use the Ordinary Least Squares (OLS) to verify our hypothesis. Findings: The impact of economic instruments is varied. The most effective instruments are the EU Emissions Trading System, outlays on renewable energy sources, and futures contracts for CO2 emissions. Research limitations/implications: The availability of data, the choice of normalization method and the choice of estimation method for both the one-equation model. Practical implications: The results show that economic instruments and macroeconomic stabilization have a positive impact on the decarbonization of economies, hence shaping their appropriate level is important for sustainable development. Social implications: Economic instruments impact on decarbonization and thus improve the quality of life. Originality/value: The impact of economic instruments is varied. The most effective instruments are the EU Emissions Trading System, outlays on renewable energy sources, and futures contracts for CO2 emissions. [ABSTRACT FROM AUTHOR]

The statistical significance of the pollution haven hypothesis remains low. This suggests that some elements may have been overlooked in hypothesis testing. Here, pollution havens due to trade liberalization may depend on the degree of technological spillover. This spillover affects the industrial concentration of polluting firms. Using an agglomeration model with technological spillover, we analysed the effect of transport costs on pollution havens to clarify this relationship. Interactions between an international emission permit trading market and local spillover in innovation bring about the following multiple equilibria: the poverty trap equilibrium leads to similar results in the case of global spillover, where lower transport costs encourage economic growth in addition to relocation from the South to the North. By contrast, equilibrium with a higher concentration of firms leads to the pollution havens hypothesis because decreased transport costs prompt polluting firms to relocate to South with relatively small markets due to the home market effect, leading to lower economic growth. Our findings imply that the type of spillover in innovation (local or global) determines the pollution haven hypothesis. In a global economy, narrowing the North-South technology gap could contribute to eliminating pollution havens. [ABSTRACT FROM AUTHOR]

In the context of "dual carbon", restrictions on carbon emissions have attracted widespread attention from researchers. In order to solve the issue of the insufficient exploration of the synergistic emission reduction effects of various low-carbon policies and technologies applied to multiple microgrids, we propose a multi-microgrid electricity cooperation optimization scheduling strategy based on stepped carbon trading, a hydrogen-doped natural gas system and P2G–CCS coupled operation. Firstly, a multi-energy microgrid model is developed, coupled with hydrogen-doped natural gas system and P2G–CCS, and then carbon trading and a carbon emission restriction mechanism are introduced. Based on this, a model for multi-microgrid electricity cooperation is established. Secondly, design optimization strategies for solving the model are divided into the day-ahead stage and the intraday stage. In the day-ahead stage, an improved alternating direction multiplier method is used to distribute the model to minimize the cooperative costs of multiple microgrids. In the intraday stage, based on the day-ahead scheduling results, an intraday scheduling model is established and a rolling optimization strategy to adjust the output of microgrid equipment and energy purchases is adopted, which reduces the impact of uncertainties in new energy output and load forecasting and improves the economic and low-carbon operation of multiple microgrids. Setting up different scenarios for experimental validation demonstrates the effectiveness of the introduced low-carbon policies and technologies as well as the effectiveness of their synergistic interaction. [ABSTRACT FROM AUTHOR]

Green and low carbon reflect the high-quality development, while income distribution is an indicator of the balance of development. Is there a lack of fairness in the process of green and low carbon transition of enterprises? Using data from A-share listed companies from 2009 to 2016, this paper constructs a DID identification framework for controlling the endogeneity problem using the 2013 carbon trading policy pilot as a quasi-natural experiment to empirically test the impact of corporate low-carbon transformation on corporate labor income share in the context of carbon trading policy. The findings indicate that carbon trading policy decreases the labor income share of firms. In addition, we demonstrate that the low-carbon transition promotes labor productivity, suggesting that the Porter's hypothesis is confirmed in China, but the increase in labor wages is not in tandem with productivity growth, resulting in reduced labor income share. Heterogeneity analysis shows that the impact of carbon trading policy on labor income share is mainly pronounced in larger firms, high technology firms and persistent incumbent firms. Collectively, these results are expected to accurately improve our understanding on the impact of low-carbon transformation of enterprises on income distribution and provide reference for the government to formulate industrial policies and distribution mechanisms under low-carbon economy. [ABSTRACT FROM AUTHOR]

Italy has been defined as the "logistics platform" of the Mediterranean Sea. The Italian port system, with 11.6 million TEUs handled and 61.4 million passengers in 2022 (Assoporti data January–December 2022), is the key to fulfilling this title through adequate levels of reliability, safety, and sustainability. This contribution addresses port logistics and shipping, focusing on primary issues related to the energy sector with a specific focus on what can be observed in the Italian context. Specifically, the decarbonization of the maritime sector and related infrastructural problems (e.g., cold ironing or alternative fuels, where the uncertainty about resource availability and related costs do not allow for easy strategic planning by both the ship owner and the port authority), as well as policies such as the Emission Trading System (ETS), will be analyzed. All these issues, hereafter addressed with a systematic critical review of the existing literature and other relevant sources, could represent the driving force of the growth of the national port sector toward its competitiveness at a global scale. The review was performed through a wide search and analysis of studies published in well-known online research databases (Scopus, Web of Science, IEEE Xplore, ScienceDirect), sector studies, or specialized technical magazines. The review focuses on the results of each analyzed contribution rather than on the analysis method adopted with the final aim to identify useful hints and innovative ideas for further studies on the topic. [ABSTRACT FROM AUTHOR]

Micro coal-fired units (MCFU) and combined heat and power plants (CHP) in integrated energy system (IES) will emit a large amount of carbon dioxide when providing loads to customers, which will lead to higher operating costs of IES. To solve this challenge, an optimal dispatch model of power-to-gas (P2G) and methane reactor (MR) considering the reward and punishment costs based on carbon emission trading mechanism is proposed, to reduce carbon emissions of IES and enhance the accommodation of renewable energy (RE). Subsequently, considering the uncertainty of RE, a combination optimization method for MCFU and CHP units is developed based on the Lagrange multiplier method. Finally, considering the mechanism of electricity spot market (ESM), a transaction strategy for IES participating in ESM is proposed to further enhance the accommodation of RE. The effectiveness of the proposed framework is demonstrated through simulations. [ABSTRACT FROM AUTHOR]

The effectiveness of carbon price in emissions trading schemes (ETS) is an important issue in China in the context of its ambitious climate change goals. This paper adopts a staggered difference-in-differences model to estimate whether China's ETS reduced CO2 emissions while maintaining economic growth even under low carbon prices. The results indicate that despite the low carbon prices, the ETS effectively reduced CO2 emissions without undermining the economy. Specifically, an increase of $1 in the carbon price reduced CO2 emissions by 1.69% and increased the per capita GDP by $286. The carbon price primarily achieved emission reduction and promoted economic development through channels, such as technological innovation, foreign direct investment, energy mix, and industrial structure. Carbon leakage to neighboring regions was not evident. Heterogeneity analysis showed that the environmental effects of the carbon price were more pronounced in regions with higher levels of economic development and CO2 emissions. Conversely, the economic effects of the carbon price were more pronounced in regions with lower levels of economic development and CO2 emissions. The carbon price achieved significant economic effects in regions that solely adopted the free allocation mode of emission allowances, while regions that used a combination of free allocation and auctioning experienced substantial emission reduction effects. Despite low carbon prices, China's ETS effectively reduced CO2 emissions without compromising economic growth. This finding provides new empirical evidence for the effectiveness of carbon price as well as decision support for the future promotion of ETS. Technological innovation, FDI, energy mix, and industrial structure are crucial channels through which the carbon price achieves emission reduction and promotes economic development. The absence of carbon leakage to neighboring regions suggests that ETS is an internally effective mechanism for emission control. Heterogeneity analysis showed that regional characteristics and allowance allocation modes can influence the effectiveness of carbon price, thus emphasizing the importance of targeted policy design and appropriate allocation methods. [ABSTRACT FROM AUTHOR]

According to most climate mitigation scenario assessments, limiting global warming to 1.5–2°C in the long run will not be possible without the extensive deployment of carbon dioxide removal (CDR) from the atmosphere. CDR is required for drawing down and achieving net-zero CO2 emissions by mid-century. Thereafter, CO2 removals will likely need to exceed residual CO2 emissions, resulting in net negative emissions. A policy framework based on 'carbon removal obligations' (CROs) has been proposed to respond to concerns about the financial and fiscal viability, the lack of incentives for CDR uptake, as well as the physical and technological risks associated with any climate mitigation scenario that relies on large scale CDR. Here we propose an updated and improved CRO policy framework, consisting of two core elements: the 'principal CRO mechanism' obliges emitters of a tonne of CO2 to remove a tonne of CO2 at the time of maturity of the CRO. On top of this obligation, CRO holders need to pay a fee for the temporary storage of CO2 in the atmosphere. This 'CRO pricing instrument' is used by regulators to steer the carbon emissions and removals pathways independently. Our update suggests that markets for CDR under the CRO framework should operate independently from markets for emission reductions. We propose a blueprint for legal implementation where CROs are integrated akin to private financial borrowing and debt mechanisms. By aligning CROs with established financial systems, we leverage familiar institutional roles, seamlessly integrating climate mitigation into the core economy. The proposal applies the polluter pays principle to the costs of carbon removal from the atmosphere, whilst providing legal guarantees that the removals will materialize. By placing climate change mitigation pricing levers in the hands of the traditional managers of financial stability, that is, central banks, better account is taken of the externality of carbon emissions as part of core economic and financial management, with the corollary that climate change mitigation response management is better integrated into the economic mainstream. Establishing a standard for the creation of removal units by CDR projects facilitates a more efficient market by reducing transaction costs and enhancing price discovery. Early action by government to put in place legislative measures indicating the direction of policy, and a timetable for introducing CROs, would enhance private sector confidence and engagement in the CDR project sector. [ABSTRACT FROM AUTHOR]

Transitioning to a low-carbon economy while promoting sustainable development requires behavioural changes and mobilization of significant investments. Key instruments being used for that include carbon pricing initiatives, such as carbon taxes and cap-and-trade policies, and, more recently, green bonds. Although the literature has provided some evidence on emission reduction associated with carbon pricing initiatives, there is a lack of investigations on the environmental performance of green bonds; and only theoretical models describe the potential benefits of combining both. Aiming to fill this gap, this study uses regression analysis and annual data for 150 countries between 1990 and 2019 to assess how carbon pricing initiatives and green bonds relate to carbon dioxide (CO2) emissions. This paper makes two main contributions. First, it examines how two climate instruments, carbon pricing and green bonds, relate to CO2 emissions. Previous research has focused only on individual instrument assessments and mainly on carbon pricing. Second, this paper empirically analyses whether there are interaction effects of the two instruments, an assessment not previously undertaken. The results suggest that the implementation of nationwide carbon pricing initiatives is associated with an 11% reduction in CO2 emissions on average. By comparison, green bond issuances are associated with an average 14% reduction in CO2 emissions. Further, no statistically significant interaction effects between carbon pricing initiatives and green bonds were observed. The results must be cautiously interpreted and cannot be attributed solely to the instruments studied since heterogeneous effects, biases from distinct sources, and the existence of complementary policies might influence the results. Carbon pricing initiatives, such as carbon taxes and cap-and-trade schemes, and green bonds are being used to promote the transition to a low-carbon economy. Investigation into green bonds and their impact on emissions is scarce and to date, only theoretical models analysed potential interaction effects of their combination with carbon pricing. The results show an average of 11% reduction in CO2 emissions associated with carbon pricing initiatives and of 14% reduction in CO2 emissions associated with green bonds issuances. While the results show promise in the emission reduction performance of these two instruments, caution in interpreting these results is advised as complementary policies, biases from distinct sources, and evidence of heterogeneous effects make it challenging to disentangle the effect of individual policies. [ABSTRACT FROM AUTHOR]

The work analyzes the contents of the Spanish Decree that determines the procedure for the free allocation of greenhouse gas emission quotas and the exclusions from the European emissions market during the five-year period 2026-2030, all in application of the provisions of the Directive 2003/87 in its consolidated version. [ABSTRACT FROM AUTHOR]

In the supplier–retailer–consumer system, the retailer's replenishment and pricing strategies impact the entire transaction process, forming a comprehensive trading market. Suppliers offer advance-cash-credit payments to retailers, while retailers provide customers with cash-credit payment options. In the current health-conscious consumer market, purchasing decisions are influenced not only by commodity prices but also by the freshness of products, particularly perishable goods. Growing awareness of climate change and the advent of carbon emission policies have raised concerns about the environmental costs of business transactions. This study focuses on perishable products whose demand is influenced by both price and freshness. It explores the adoption of various payment methods by suppliers and retailers, as well as the impact of carbon emission cap-and-trade policies or carbon tax policies on management and pricing strategies. Suitable inventory models are established to determine the optimal replenishment and pricing strategies for maximizing the current value of total profit. We illustrate that the current value of total profit demonstrates joint concavity concerning both the selling price and the replenishment time. Finally, we verify the proposed models using numerical examples and present the findings of sensitivity analyses. The findings of this study yield several valuable insights for inventory management of perishable goods. [ABSTRACT FROM AUTHOR]

Due to tougher carbon restrictions and regulations, businesses have been researching approaches to decrease the amount of carbon emissions throughout the inventory supply process and achieve sustainable development. The two most common approaches are (i) decentralized, which involves implementing a carbon tax or cost for emitting carbon, and (ii) centralized, which includes introducing an emissions trading (cap-and-trade) mechanism. Within this research, we optimize a two-stage supply management system under FPH(finite planning horizon) while taking into consideration these two policies. Using a linear time and inventory-dependent demand model, we investigated various techniques within a specific time frame. We created and solved two distinct MINLP (Mixed Integer Non-Linear Programming) approaches for each carbon strategy. These models can assist businesses/firms in determining the minimum overall cost, optimal order quantity, optimal replenishment time, and replenishment cycles. Using mathematical tools, our sensitivity evaluations indicate that organizations can reduce overall projected emissions and costs by making parameter variations under both carbon regimes. We additionally showed that while both approaches optimize the overall supply chain cost, the order quantity and total emissions remain constant. [ABSTRACT FROM AUTHOR]

Improving carbon total factor productivity (CTFP) is required for China's sustainable development, and the carbon emission trading scheme (ETS) is crucial to achieving this goal. In this paper, we calculate the city CTFP using meta Malmquist-Luenberger (MML) index from 2008 to 2019 and decompose it into efficiency change (EC), best practice gap change (BPC) and technology gap change (TGC). Then we construct a staggered Difference-in-Difference (DID) strategy to investigate the impact of regional ETS pilot policy on city-level CTFP using city panel data from 2008 to 2019. The main results show that the ETS pilot policy can increase CTFP by 3.3% in ETS cities compared to non-ETS cities. Mechanism tests suggest that the growth in CTFP mainly results from an increase in efficiency change and best practice gap ratio. Moreover, we use the CTFP calculated from the Solow residual instead of the CTFP obtained from the meta Malmquist-Luenberger index. We also perform other robustness tests to exclude the interference of potential threats to the results. [ABSTRACT FROM AUTHOR]

The carbon–financial nexus helps firms evaluate susceptibility to carbon risk more effectively. This is the first research article to model the short- and long-run co-integrating association between European financial markets, the CBOE oil price volatility index (OVZ) and the European carbon emission trading system (EU-ETS) by using the daily returns from 1 October 2013 to 1 October 2023. We utilize co-integration test followed by the ARDL framework with an error correction mechanism (ECM). Moreover, we utilize the DCC-GARCH-t copula framework to estimate the hedge ratio and to select an optimal portfolio weight for carbon risk hedging. Overall, the findings suggested that EU-ETS (OVZ) has a consistent positive (negative) short-term influence on all the equity returns of Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Netherlands, Spain and the stock indices of the whole Eurozone. However, in the long term, EU-ETS has a positive (negative) effect on the stock returns of France and the Eurozone (Belgium and Spain). Belgian and Spanish companies could implement long-term carbon reduction policies. Belgian and Spanish firms should focus on the utilization of green energy resources and the internalization of carbon emission-free mechanical processes as this may offer a safeguard against the additional pressure arising from escalating carbon prices. Finally, an optimal portfolio weight selection strategy based upon the DCC-GARCH-t copula approach aims for higher hedging effectiveness (HE) than the hedge ratio strategy when adopting short-term positions in Italian and Danish equity markets to reduce the risk of long-term EU-ETS volatility. [ABSTRACT FROM AUTHOR]

Under the overarching principle of sustainability, the reliance solely on expanding the landmass to meet the demand for high-quality economic growth is unsustainable. To address the need for harmonious ecological–economic development, this paper examines the influence of carbon emissions trading (CET) policies on the urban land green utilization efficiency (LGUE) from an environmental regulation perspective. Harnessing municipal panel data from 278 cities across China between 2011 and 2020, the study initially employs a super-efficient SBM model to estimate the urban LGUE. Further, a progressive difference-in-differences methodology is utilized to delve into CET's impact on the LGUE. The main results are as follows. (1) Through the visual analysis of the time–space evolution trend, the LGUE displays pronounced spatial agglomeration, with the LGUE values being higher in the central and western regions compared to the east, and in the south versus the north. Over time, it follows a "U-shaped" change pattern. (2) The CET policy exerts a statistically significant positive influence on the LGUE, although this effect is accompanied by a temporal lag. Following a number of approaches to validate the results, the impact remains significant. (3) Regarding the heterogenous effects, the CET policy appears to have a greater impact on resource-based cities and those in the eastern part of China relative to non-resource-based and central–western cities. This research offers empirical evidence and countermeasure recommendations for the further refinement of the CET policy to enhance the urban LGUE. [ABSTRACT FROM AUTHOR]

Regarding the electricity decarbonization decision problem under the carbon cap-and-trade mechanism, this paper constructs a two-level electricity supply chain composed of an electricity generator and an electricity retailer. The electricity generator invests in renewable energy or low-carbon technologies to achieve decarbonization. This paper compares the equilibrium solutions of the models with only cap- and trade -mechanisms, renewable energy investment, and low-carbon technology investment. The main conclusions are: (1) Compared with renewable energy investment, the cost of investing in low-carbon technology and the decarbonization contribution rates are higher. (2) The investment in renewable energy increases with unit carbon emissions of traditional energy, but the investment in low-carbon technology decreases. (3) Low-carbon technology investment can provide the supply chain with the highest electricity demand and profits.Key words: Cap-and-trade mechanisms; Decarbonization; Electricity supply chain [ABSTRACT FROM AUTHOR]

Life expectancy can reflect both health benefit and implementation cost of climate policy. Nevertheless, little research has quantified the relation between life expectancy and climate policy in literature. In this paper, we attempt to narrow the research gap by studying how life expectancy is related to the Chinese nationwide emission trading scheme (CNETS). To achieve this research target, a Computable General Equilibrium (CGE) model is employed to simulate the operation of the economic system and the policy shock from emission abatement. The CGE model results show that life expectancy is prolonged by GDP but shortened by emissions, and the GDP impact on life expectancy is larger than the emission impact. Climate policy has dual effects on life expectancy because it relieves both negative emission impacts and positive GDP impacts on lifespan; its net effect on life expectancy is positive. Life expectancy positively impacts GDP, and this impact is moderated by climate policy; specifically, climate policy reinforces the positive impact of life expectancy on GDP. Life expectancy minimally affects carbon emissions during climate policy implementation; in other words, it has minimal impacts on emission abatement. These findings imply that climate policy and life expectancy complement each other; the government could implement climate policy to increase lifespan or prolong life expectancy to facilitate policy implementation. [ABSTRACT FROM AUTHOR]

This paper addresses the effects of clients' carbon risk on audit pricing. Using data from 438 EU companies for the period 2013–2019, we find a positive relationship between carbon risk (measured by the level of carbon emissions) and audit fees. Furthermore, we find that participation in the European Union's Emission Trading System, a limited market and regulation scheme to mitigate special industries' Greenhouse Gas emissions, strengthens the positive relationship between carbon risk and audit fees. Insights from additional tests indicate that auditors price carbon risk particularly for large clients that are under greater public scrutiny and that the increase in fees rather stems from a risk premium charged by the auditor than higher audit effort. With interest in climate change developing rapidly across society, practice and research combined with the increasing importance of reducing carbon risk, our findings are timely and should thus appeal to a wide variety of recipients. [ABSTRACT FROM AUTHOR]

As an effective measure for the local government to promote reduction of corporate carbon emissions and sustainable development of social economy, the implementation of green finance policies in enterprises and financial institutions has encountered severe strikes from the low returns of low carbon production and low interest rates of green credit business. Under the premise of liberalizing carbon emissions trading, a triple‐level network evolutionary game consisting of a local government, banks, and enterprises is constructed to analyze response behavior and strategy selection mechanism to green credit. The impacts of management tools are investigated in terms of setting carbon market price, limiting the financing upper bound of misbehaving enterprises, limiting the emissions quota of enterprises for fraudulent green credit, and rewarding clean project development on the decisions of individuals in the network. Results show the following: First, increasing the trading price of carbon emissions has a catalytic effect on enhancing the activeness of banks and enterprises to follow green finance policies, but the autonomous regulation ability of which is limited. Second, reducing the funding ceiling for emitting emissions illegally ambiguates enterprises' preferences for production strategies and discourages them from undertaking low‐carbon projects. Third, excessive restrictions on the share of emissions may evoke regulatory inaction by the local government, consequently leading to instability in the evolution network. Fourth, granting reward for clean production is instrumental for the network to promote green finance policies, but exorbitant subsidies increase the fiscal burden of the local government with no significant effect on the node selection of environment‐friendly strategies. [ABSTRACT FROM AUTHOR]

Eutrophication is a serious problem in many parts of the world, and aquaculture production can contribute to the problem as well as be part of its solution. Nutrient polices in developed countries are often command-and-control policies that may have contributed to the slow growth of the sector. We perform a literature review to investigate how current nutrient polices affect the sector and if economic incentive policies have greater potential to support sector growth. Although the literature is limited in many aspects, the results indicate that this may be the case. Given that the ability to measure, monitor and control has improved over time, possibilities for using economic incentive policies have increased. For example, subsidies that are results-based, i.e., based on the amount of emissions that are reduced, could be used. It is also possible for aquaculture production to benefit from being included in emissions trading systems, where these are available. [ABSTRACT FROM AUTHOR]

As a pivotal element in market mechanisms, carbon trading is increasingly recognized as crucial for achieving China's Carbon Peaking and Carbon Neutrality Goals. This study introduces a comprehensive dynamic model, integrating carbon trading, emissions, economic growth, and green technology innovation, to offer a holistic understanding of the interplay between these domains. Utilizing principles from nonlinear dynamics and chaos theory, the model is adept at simulating various scenarios and assessing the effectiveness of government policies in stabilizing these complex systems. In-depth analysis provided by this research sheds light on the nuanced impact of carbon trading policies on sustainable development. Key findings highlight (1) Carbon trading's essential role as a catalyst in propelling sustainable and high-quality growth. (2) A strong positive relationship is observed between the sophistication of the carbon trading mechanism and its effectiveness in stimulating green technology innovation and fostering high-quality green development. Notably, carbon trading's influence on green technology innovation markedly enhances the efficacy of carbon emission reduction strategies. (3) Government regulations are instrumental in augmenting carbon prices, thus incentivizing increased corporate participation in emission reduction and enhancing the overall impact of carbon emission reduction. Nevertheless, the study identifies a critical threshold in regulatory intensity, beyond which there is a risk of system destabilization ( a 3 ≥ 0.032 ). These findings underscore the imperative for developing an integrated national carbon emission trading market, prioritizing sustainable growth strategies and diligently pursuing China's environmental objectives. [ABSTRACT FROM AUTHOR]

With the continuous development of global economic and trade activities, environmental problems have become an important factor restricting the sustainable development of all countries. How to realize the coordinated development of international trade and environmental protection has become a major issue facing the international community. Since China joined the WTO, its share of international trade has been increasing continuously. In order to deeply analyze the influence of international carbon emission trading policy on domestic carbon emissions, we use an input–output model and a GTAP analysis method to theoretically calculate the carbon emissions of the international trade of various departments in Shandong Province. At the same time, the implicit carbon emission index of various industries in 2022 is calculated through the direct energy consumption coefficient. The results show that there are significant differences in the impact of the carbon tariff system on different industries. In terms of the carbon emission index, the food processing industry showed a decrease of 18.99 Mt, while the implied carbon emission of the tobacco, textile and leather manufacturing industry reached 30.56 Mt due to the continuous expansion of trade scale. In contrast, the implied carbon emission level of the metal product processing industry reached 5.3 Mt, while the carbon emission of traditional trading industries such as coal mining was almost unaffected by international trade, and its carbon emission index reached the highest level of 5.89 in 2020. In terms of trade impact, high-trade industries such as the food processing industry are significantly affected by the carbon tariff policy, and their share has dropped from 5.89% to 3.95% in the past decade. The carbon emissions generated by GDP growth established by the GTAP model are more convincing. This model can directly reflect the energy efficiency of a region from the side. Based on the present situation of international trade, this paper analyzes the inequality of the current carbon tariff system, and puts forward some policies to optimize the energy structure to reduce carbon emissions and expand domestic demand to reduce the dependence on international trade. Through the GTAP model, we put forward policy suggestions to optimize the energy structure to reduce carbon emissions and the dependence on international trade by expanding domestic demand. [ABSTRACT FROM AUTHOR]

Ice classed ships have specially designed, reinforced hulls and large engines, which may influence open-water fuel efficiency. Ice classification typically requires minimum engine power limit, possibly leading to an over-sized engine for open water operation. Most of the existing studies of energy efficiency of ice classed ships assume that these vessels consume more fuel also in open water conditions than conventional ships. In this work we analysed the EU Monitoring, Reporting and Verification database to understand the differences of main engine size, light ship mass, payload capacity and real-life reported and verified annual mean fuel consumption between ice classed ships and those without ice class using statistical methods. Ice classed ships were found to have on average 11% more hull mass, 13% more main engine power and 13% less deadweight capacity than ships without ice class, but some vessel types had inversed results. Also, ice class does not predict increased fuel consumption for all vessel types. In addition, according to the Automatic Identification System data, about 47% of vessels with reported ice class did not sail in ice covered areas during 2018–2022. These findings should open the discussion for more precise relief mechanisms of emission trading systems granted for ice classed vessels. • Only around half of the ice-classed vessels that reported to MRV sailed in ice during 2018–2022. • Ice-classed ships have more light ship mass, larger main engines and less cargo capacity than non-ice-classed vessels. • Ice classification does not predict increased fuel consumption for all vessel types. [ABSTRACT FROM AUTHOR]

In September 2020, the European Union (EU) decided to include the maritime industry into the EU emissions trading system to effectively control carbon emissions from ships, namely the maritime emissions trading system (METS). Various allocation and trading schemes are adopted in practice. This paper investigates a comparison of allocation and trading schemes of the METS from the perspective of liner shipping carriers and regulators, respectively. We explore how to determine the optimal allocation and trading scheme of the METS and how the liner shipping route (LSR) choice decision (following or avoiding the METS) and carbon emissions will be affected. For liner shipping carriers, we use a mixed-integer linear programming model that aims to reduce carriers' costs to formulate our problem. For regulators, we present a bi-level programming model that aims to reduce carbon emissions. In numerical experiments, we further analyze the impact of joining the METS on the scheme choice, LSR choice and emissions by considering the European Economic Area and the Red Sea being covered by the METS. Numerical experiments are provided to show the effectiveness of our proposed models. • Investigate allocation and trading schemes of the maritime emission trading system. • Propose a liner shipping route choice problem. • Develop a mixed-integer linear programming model. [ABSTRACT FROM AUTHOR]

Emission trading is an efficient measure to combat climate change, which is one of the biggest threats to the international community and human health. The shipping industry has previously been considered an energy-saving industry but the growth rate of its emissions far exceeds that of other industries. On 10 May 2023, the EU enacted Regulation (EU) 2023/957, which officially included the shipping industry in the EU-ETS. Therefore, this may lead to investor-state disputes regarding emission trading in the marine industry due to the conflicts between the obligation to combat climate change and the obligation to protect investments of the host states. This has resulted in the breaching of International Investment Agreements. In this context, this study aimed to propose practical recommendations for global marine market practitioners to avoid the potential risks of disputes by reflecting on the existing practice regarding climate changerelated investor-state dispute resolutions and identifying the trends and problems of the current dispute resolution mechanism. These included inconsistency in the review standard, inconsistency in the review scope, and broad interpretation by the tribunal. Finally, this study proposed that by setting public purpose and exception clauses in the preambles of the International Investment Agreements and incorporating the specific obligations of the foreign investors and the regulatory power of the hosting states in the drafting stage, the potential risks for disputes regarding the new EU directive in the global marine industry could be effectively reduced. [ABSTRACT FROM AUTHOR]

The European Council completed the legislative procedure to establish the Carbon Border Adjustment Mechanism (CBAM) on April 25, 2023, which will be launched in 2027. The iron and steel sector is the main target of the forthcoming CBAM due to the industry's energy-intensive consumption with high carbon dioxide (CO2) emissions. However, minimal existing research has been conducted in this regard. This study employs GTAP-e 11.0 and TOPSIS models to estimate the effects of CBAM implementation on the major nations around the world from 2027 to 2030, examining countries' GDP, social welfare, iron and steel production, trade balance, and CO2 emissions to the global environment. This study concludes: (1) The GDP and social welfare of important iron and steel trade partners throughout the world will be significantly impacted by the application of CBAM. Most nations, including those in the EU, will experience negative GDP effects, with China undergoing the most pronounced social welfare declines followed by India. In contrast, the EU27 will benefit the most in terms of social welfare, followed by the US, Japan, and Russia. (2) Iron and steel production will decrease in all countries outside the EU, but it will have a positive impact on the trade balance of most countries. (3) The CO2 emissions of all countries except for the EU and Japan will decrease, with a positive impact on preventing carbon leakage in the international iron and steel trade. (4) Comprehensive analysis demonstrates that the EU will benefit the most, and China will suffer the most from CBAM application. Based on the above conclusions, this study proposes corresponding policy recommendations. [ABSTRACT FROM AUTHOR]

In response to the EU ETS, we propose a cost model considering carbon emissions for container shipping, calculating fuel consumption, carbon emissions, EUA cost, and total cost of container shipping. We take a container ship operating on a route from the Far East to Northwest Europe as a case study. Environmental and economic impacts of including maritime transport activities in the EU ETS on container shipping are assessed. Results show that carbon emissions from the selected container ship using methanol are the smallest, and total cost of the selected container ship using methanol is the lowest. Among MGO, HFO, LNG, and methanol, methanol is the most environmentally and cost-effective option. Using LNG has greater environmental benefit, while using HFO has greater economic benefit. Compared to MGO, carbon reduction effects of LNG and methanol are 14.2% and 57.1%, and their cost control effects are 7.8% and 26.5%. Compared to HFO, carbon reduction effects of LNG and methanol are 11.7% and 55.8%, and the cost control effect of methanol is 9.3%. Speed reduction is effective in achieving carbon reduction and cost control of container shipping only when the sailing speed of the selected container ship is greater than 8.36 knots. Once the sailing speed is less than this threshold, speed reduction will increase carbon emissions and total cost of container shipping. This model can assess the environmental and economic impacts of including maritime transport activities in the EU ETS on container shipping and explore the measures to achieve carbon reduction and cost control of container shipping in response to the EU ETS. [ABSTRACT FROM AUTHOR]

Carbon emission reduction is an important means of achieving climate policy goals. However, the literature has neglected consideration of the carbon emission reduction mechanism from the perspective of technology risk spillovers in international trade. To explore this mechanism, this paper expands the classical linear model of foreign trade technology risk spillovers into a nonlinear spatial Durbin model. We construct a novel technology risk spillover index to forecast the magnitude of carbon emissions in agricultural trade across different regions. To validate our model, we consider the dual connotation of the spatial diffusion of disembodied technology communication (DTC) to map the relationships between different geographic and economic regions that are adjacent. The results suggest that disembodied technology risk spillover could promote carbon emission reductions. Specifically, technology risk spillovers from agricultural trade reduce agricultural carbon emissions by 0.79–1.16% in the local region. Disembodied technology risk spillovers also reduce agricultural carbon emissions by 2.85–11.57% in geographically adjacent regions and 4.9% in economically adjacent regions. Based on these conclusions, this paper proposes improving the closed and backward situation of rural areas in China's central and western regions, promoting the transition toward the high end of the global agricultural industry chain and developing productive agricultural services and the rural cultural tourism industry to expand rural employment channels and stabilize farmers' income. [ABSTRACT FROM AUTHOR]

Based on monthly economic data spanning from January 2015 to December 2022, we have established an analytical framework to examine the "Russia-Ukraine conflict—financial market pressure and energy market—China carbon emission trading prices." To achieve this objective, we developed indices for financial system pressure, the energy market, and investor sentiment, applying a mediation effects model to validate their transmission mechanisms. Subsequently, the TVP-SV-VAR model was employed to scrutinize the nonlinear impact of the Russia-Ukraine conflict on the valuation of China's carbon emission trading rights. This model integrates time-varying parameters (TVP) and stochastic volatility (SV), utilizing Markov Chain Monte Carlo (MCMC) technology for parameter estimation. Finally, various wavelet analysis techniques, including continuous wavelet transform, cross-wavelet transform, and wavelet coherence spectrum, were applied to decompose time series data into distinct time-frequency scales, facilitating an analysis of the lead-lag relationships within each time series. The research outcomes provide crucial insights for safeguarding the interests of trading organizations, refining the structure of the carbon market, and mitigating systemic risks on a global scale. [ABSTRACT FROM AUTHOR]

Coordinating policies is an essential guarantee for carbon emission reduction and sustainable development. Based on the theoretical framework of the policy paradigm, we quantitatively analyze 266 policy documents on promoting carbon emission trading and green financial policies from 2011 to 2022 using the content analysis research method. Based on the matching network of "policy objectives-policy tools," we analyze the synergistic characteristics of carbon emission trading policies and green financial policies in promoting carbon emission reduction targets and reveal the matching mode of "objectives-tools" of green financial policies by using social network analysis. It is found that, first, from the perspective of policy objectives, the main policy objectives of carbon emissions trading are to promote green innovation of enterprises, and the main policy objectives of green finance are to promote green development, which reflects the consistency and endogenous motivation of policy objectives. Secondly, command-control and market incentive policy tools are the main policy tools in the structure of policy tools. The proportion of public participation policy tools is small, and there is a structural asymmetry. Third, carbon emissions trading tools focus on supervision, adjustment, and platform construction. The green financial policy tools have the characteristics of guidance, public welfare, and externality. The two constitute a complementary, embedded, and integrated ' double synergy ' carbon emission reduction policy. Based on this, this paper puts forward some suggestions to promote policy coordination and provides a reference for China to achieve the dual carbon goal. [ABSTRACT FROM AUTHOR]

Evaluating the effects of China's carbon emission trading scheme (ETS) is crucial for the coordinated development of Chinese cities. Therefore, based on the panel data of 242 cities in China from 2008 to 2019, this paper uses the multi-period difference-in-difference (DID) model to comprehensively evaluate the impact of carbon market on the coordinated development of cities from the perspectives of carbon market policy and carbon market efficiency, and then analyzes the mechanism and heterogeneity of the effect of carbon market efficiency. The results show that both carbon market policy and carbon market efficiency can promote the coordinated development of cities. Science and education expenditure plays a significant intermediary role in the impact of carbon market efficiency on the coordinated development of cities. The heterogeneity test finds that the stricter the performance penalty system, the higher the level of urban coordinated development, and the stronger the effect of carbon market efficiency. The findings of this paper provide policy recommendations for further improving the construction of China's pilot and national ETS and enhancing the coordinated development of Chinese cities. [ABSTRACT FROM AUTHOR]

How to finance the Green Transition toward net-zero carbon emissions remains an open question. The literature either operates within a market-failure paradigm that calls for carbon taxes or cap-and-trade to help markets correct themselves, or via war finance analogies that offer a "triad" of state intervention possibilities: taxation, treasury borrowing, and central bank money creation. These frameworks often lack a thorough conceptualization of endogenous credit money creation and disregard the systemic and procedural dimensions of financing the Green Transition. We propose "Monetary Architecture" as a more comprehensive framework that perceives the monetary and financial system as a constantly evolving and historically specific hierarchical web of interlocking balance sheets. Using the United States as a case study, we stress the importance of a systemic financing dimension that uses all available elasticity space in the monetary architecture while considering a division of labor between firefighting balance sheets such as central banks or treasuries and workhorse balance sheets such as off-balance-sheet fiscal agencies or shadow banks. Procedurally, public workhorses should provide an initial balance sheet expansion and crowd in the rest of the monetary architecture, notably shadow banks, for long-term funding. Firefighters should prevent systemic instability and manage a possible final contraction. [ABSTRACT FROM AUTHOR]

This paper studies when and under what conditions the actions undertaken by the power plants involved in China's emission trading scheme (ETS) pilot became cost effective. Based on unique plant-level panel data and the difference-in-differences strategy, we identify that an insignificant initial reduction in cost efficiency occurred at the announcement stage for power plants in the pilot provinces; however, the cost efficiency of the pilot plants increased significantly following formal policy implementation. Additionally, the by-stage treatment effects differed across the pilot provinces due to localized market and non-market variations. Localized conditions of higher marketization, stricter policy enforcement, and lower carbon dependence enhanced this positive effect. The synthetic control results confirmed this variation in the policy effects. The carbon trading pilots resulted in improved efficiency in power plants in Shanghai, Guangdong, and Tianjin during the period 2013--2017, with an associated total cost saving of approximately 29.75 million RMB. To enhance the efficacy of the ETS policy, our findings suggest that the design of the policy should consider localized external factors. [ABSTRACT FROM AUTHOR]

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We examine the determinants of and investor responses to corporate environmental, social, and governance (ESG) bond issuance in Korea. We find that ESG bond issuance is positively associated with firm size and foreign ownership stakes. We also find that firms that establish ESG committees at the board level and those that are subject to carbon emission trading system are more likely to issue ESG bonds. Unlike prior studies that analyze green bond issuance in developed markets and China, we find no significant stock market reaction to ESG bond issuance in Korea, suggesting that the signaling effect of ESG bonds-in which companies credibly signal their commitment to ESG by issuing ESG bonds-does not exist. This paper suggests that enhanced ESG bond standards, post-issuance reporting, and verification procedures are needed in the Korean ESG bond market. [ABSTRACT FROM AUTHOR]

To reduce carbon emissions, many countries and regions have implemented carbon cap-and-trade regulation. The main objective of this paper is to explore the economic and environmental impacts of carbon cap-and-trade regulation on two competing supply chains. This paper considers two cases: (i) in the absence of cap-and-trade regulation and (ii) with carbon cap-and-trade regulation. For each case, there are three structures: centralized-centralized (C-C) structure, decentralized-decentralized (D-D) structure, and hybrid centralized-decentralized (C-D) structure. First, this paper analyzes the optimal pricing decisions of two competing supply chains for the two cases, and then explores the impacts of cap-and-trade regulation on the sale price, market demand, economy (include enterprise profits and consumer surplus), environment (i.e., carbon emission) and total social welfare. Finally, numerical examples are provided to illustrate the theoretical results. By comparing the two cases, the main conclusions are as follows: (i) cap-and-trade regulation leads to the increase of unit price and the decrease of the market demand, (ii) cap-and-trade regulation leads to the reduction of both carbon emission and the consumer surplus, (iii) the impacts of cap-and-trade regulation on the profit and social welfare depend on the carbon cap. [ABSTRACT FROM AUTHOR]

The carbon emission trading markets represent an emerging domain within China. The primary objective of this study is to explore whether carbon price volatility influences stock market volatility among companies subject to these emission trading regulations. Employing daily returns data from 293 publicly traded companies regulated by these emission trading markets, this study encompasses the national carbon market and eight pilot regional carbon markets spanning from August 2013 to October 2023. The results demonstrate that volatility in regional carbon prices positively impacts the stock volatility of companies in the corresponding emission trading region, indicating a volatility spillover effect. Moreover, this spillover effect is more pronounced in sectors marked by lesser carbon intensity than those with greater carbon intensity. The volatility transmission is more pronounced in coastal areas than in inland regions. However, no notable distinctions in volatility transmission are discerned between the periods before and throughout the COVID-19 pandemic. Vector autoregression analyses substantiate that lagged carbon price fluctuations possess limited predictive capacity for contemporaneous equity market volatility and vice versa. The robustness of these outcomes is fortified by applying the E-GARCH model, which accounts for the volatility clustering phenomenon. As the first investigation into the volatility spillover effect between China's emission trading market and corresponding stock markets, this study offers valuable insights into the investment strategies of retail investors, the formulation of carbon regulations by policymakers, and the carbon emission strategies of corporate managers. [ABSTRACT FROM AUTHOR]

In Sharm El Sheikh, Egypt, representatives from 198 countries convened for the 27th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP27) held between November 6 and 20, 2022. A consensus emerged regarding the imperative of embracing a "bottom-up" approach to tackling climate change. The phased introduction of dual-stage measures within the low-carbon city pilot policy in China affords a reputable natural experiment and establishes a treatment cohort for gauging carbon emissions within these zones. Empirical estimation of the abatement impact of China's low-carbon city pilot policy on carbon emissions is undertaken herein, leveraging a comprehensive dataset composed of information on carbon dioxide emissions and economic indicators spanning the years 2000–2017. Key findings are: (1) The low-carbon city pilot policy effectively reduces carbon emissions by 0.2808 Mt and decreases emission intensity by 11.59%. (2) China can achieve 40.28% of its emissions reduction target outlined in the 14th Five-Year Plan due to the efficacy of low-carbon cities. (3) The emissions reduction effect of the policy significantly increases with the implementation of Emissions Trading Scheme pilots. 4) The primary-stage initiatives of the low-carbon city pilot policy drive its emissions reduction effect, while the secondary-stage policy has limited impact due to rational public expectations. This research presents a model for low-carbon city development, proposing strategies that align with a "bottom-up" approach to tackle climate change. These insights may encourage member parties to strengthen commitments and adopt net-zero goals at COP meetings. [ABSTRACT FROM AUTHOR]

In order to achieve the goal of the European Climate Law of the European Union to reduce greenhouse gas emissions by 55% by 2030, the EU Commission proposes changes to European energy and climate legislation. These changes include 16 initial legislative and strategic proposals related to energy and climate legislation, which are discussed in this article. A comparative analysis of existing legal provisions with the EU Commission's proposals has been conducted, identifying the differences proposed for adoption in updated regulatory acts. It is found that the proposed changes aim to strengthen existing climate and energy legislative acts by primarily making changes to their objectives, scope, and structure. The changes also concern EU emissions trading system, effort sharing system between the Member States, energy taxation, energy efficiency, and the promotion of renewable energy sources. The reform package includes new instruments such as the introduction of a second emissions trading system for the buildings and transport sectors, the use of the Carbon Border Adjustment Mechanism, and the establishment of the Social Climate Fund. The EU Commission actively utilizes a combination of legislative provisions and policy instruments based on pricing. However, the number and nature of conflicts that may arise between the proposed measures are not yet fully understood. It is currently challenging to assess the possibility of achieving greenhouse gas emission reductions in the transport and buildings sectors by 2030 solely based on the proposed instruments. The issue of ambitious targets in the context of the shortened timeframe until 2030 also presents challenges in achieving specific goals within defined time intervals. [ABSTRACT FROM AUTHOR]

Research Question/Issue: We examine the association between foreign institutional ownership and climate change disclosure quality from 2006 to 2018 across 34 countries. We find that firms with a higher level of foreign institutional ownership demonstrate better quality climate change disclosures, whereas domestic institutional ownership has immaterial impacts on such disclosures. We utilize a difference‐in‐differences (DiD) analysis using a firm's addition to the Morgan Stanley Capital International (MSCI) index as an exogenous shock to control for endogeneity. Our findings are robust to various other endogeneity controls. We also establish evidence on an indirect effect of climate change disclosure quality in mediating the positive association between foreign institutional investors and firm valuation. Research Findings/Insights: We find that the positive association between foreign institutional ownership and climate change disclosure quality is more pronounced for (1) firms domiciled in stakeholder‐orientated countries, (2) firms domiciled in countries that adopt emission trading schemes, and (3) firms with a greater level of information asymmetry. Additionally, our results are more robust when foreign investors are domiciled in countries that care more about the environment. Theoretical/Academic Implications: Our study contributes to climate change disclosures, corporate governance, and international business literature by showing that foreign rather than domestic institutional investors contribute to improved corporate climate change disclosure quality in their portfolio firms. Practitioner/Policy Implications: Our study urges regulators to increase their market oversight, especially in firms with less foreign institutional ownership. This is required because such firms are prone to exhibiting poorer accountability for their climate risk management practices, and their disclosures are bereft of effective external monitoring mechanisms. [ABSTRACT FROM AUTHOR]

With the increasing attention paid to the environment by all sectors of society, green and sustainable development has become one of the development themes of the current era. Pollutant emission trading and carbon Emissions trading are important means of building a green trading market, an inevitable requirement for improving the marketization mechanism of the modern environmental governance system, and a critical path method to promote the establishment and improvement of the value realization mechanism of ecological products. The trading system of pollutants and carbon emissions rights has the characteristics of similar management, coordinated emission reduction, and cross-scope. The synergy of the two will greatly improve environmental management efficiency, reduce implementation costs, and reduce pollutant emissions. This paper summarizes the current status of the feasibility study on the carbon pollutants emission trading system, points out the problems encountered in the construction of the two systems, proposes the path design for the synergy of pollutants and carbon emissions trading trading mechanisms, and on this basis, puts forward suggestions on improving relevant regulatory systems, promoting the synergy of monitoring mechanisms, and carrying out the evaluation of the synergy benefits of carbon and pollutants emission trading environment, a feasible path has been proposed for global green and sustainable development and pollution control. [ABSTRACT FROM AUTHOR]

Many countries have launched the carbon emission trading scheme (ETS), attempting to limit carbon emissions through total amount control, and thus accelerating the improvement of emission reduction technology. However, the role of the ETS in emission reduction technical change (ERTC) is still controversial. To clarify the role of the ETS in ERTC, this paper firstly proposes an endogenous growth equilibrium model to theoretically analyze how the ETS induces ERTC, and extracts the corresponding influencing factors. Then, the emission reduction technology is further decomposed into the source, process and end-of-pipe emission reduction technologies by the whole process decomposition method. Last, taking China's carbon pilot market as a sample, we use the time-varying difference-in-difference method to empirically estimate the impacts of the ETS on ERTC. Results show that: (1) the ETS is conducive to ERTC, but whether the effect is significant is depends on the technology accumulation in the early stage, research efforts, success probability of technology research, and carbon trading effect; (2) China's ETS significantly improved the process emission reduction technology, but has no obvious effects on the source and end-of-pipe emission reduction technology. (3) China's ETS has heterogeneous impacts on technical change concerning different regions. Accordingly, three suggestions are provided, including laying out new technologies for energy conservation and emission reduction, expanding the industry coverage of the ETS, and correcting the distortion of carbon trading price. [ABSTRACT FROM AUTHOR]