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This paper studies the impact of digital economy development on carbon emissions, which is a hot topic in the field of environmental economics. This topic is within the scope of the Frontiers in Environmental Science and is particularly in line with the theme of Environmental Economics and Management section in the journal. Firstly, this paper constructs the Digital Economy Development Index and its variable indicators to measure the development of the digital economy. Secondly, this paper uses urban panel data to reveal the impact of digital economy development on carbon emissions, and further adopts IV method to deal with endogeneity issues. Thirdly, this paper performs the heterogeneity analyses depending on the characteristics of the city. The results can provide a basis for formulating differentiated policies. Fourthly, this paper further explores the mechanism by which the digital economy affects carbon peaking. The results show that the digital economy may influence carbon peaking through upgrading of the industrial structure, technical innovation, and energy consumption. [ABSTRACT FROM AUTHOR]

China's pulp and paper industry (CPPI) has been always the main carbon emission source in recent years. However, the analysis on influencing factors of carbon emissions from this industry is insufficient. To address the issue, the CO2 emissions from CPPI are estimated in the period of 2005–2019, the driving factors of CO2 emissions are investigated by the logarithmic mean Divisia index (LMDI) method, the decoupling state of economic growth and CO2 emissions is determined by Tapio decoupling model, and finally, future CO2 emissions are predicted under four scenarios by the STIRPAT model to explore the potential of carbon peaking. The results show that CPPI exhibits a rapid increase and a fluctuating downward trend in CO2 emissions during the period of 2005–2013 and 2014–2019, respectively. The main promoting and inhibiting factors to the increase of CO2 emission are per capita industrial output value and energy intensity, respectively. There are five decoupling states of CO2 emissions and economic growth during the study period, and the CO2 emissions exhibit a weak decoupling state with the industrial output value growth in most years of the study period. It is very difficult to realize the carbon peaking goal by 2030 under the baseline and fast development scenarios. Therefore, efficient low carbon and strong low-carbon development policies are necessary and urgent for the realization of carbon peaking goal and the sustainable development of CPPI. [ABSTRACT FROM AUTHOR]

China has been the world's largest producer and consumer of paper products. In the context of the "carbon peaking and carbon neutrality goals", China's papermaking industry which is traditionally a high energy-consuming and high-emissions industry, desperately needs a nationally appropriate low-carbon development path. From the consumption-side perspective, this paper calculates the CO2 emissions of China's papermaking industry from 2000 to 2019 by using carbon emission nuclear algorithm, grain-straw ratio, first-order attenuation method, and STIRFDT decomposition model, etc., to further explore the core stages and basic patterns affecting the industry's carbon peaking. The results show that the total CO2 emissions of China's papermaking industry showed an upward trend from 2000–2013, stable from 2013–2017, and a steady but slight decline from 2017–2019. Meanwhile, the total CO2 emissions of the full life cycle of paper products in China have decreased to a certain extent in the raw material acquisition, pulp, and paper making and shipping stages, with only the waste paper disposal stage showing a particular upward trend. We find that from 2000 to 2019, China's CO2 emissions in the pulping and papermaking stage of paper products accounted for 68% of the total emissions in the whole life cycle, of which 59% was caused by coal consumption. Moreover, the scenario prediction shows that improving the energy structure and increasing the waste paper recovery rate can reduce the CO2 emissions of the industry, and it is more significant when both work. Based on this and the four core stages of CO2 emissions of the papermaking industry we proposed ways to promote CO2 emissions peaking of China's paper products. [ABSTRACT FROM AUTHOR]

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shanghai Land & Resources / Shanghai Guotu Ziyuan is the property of Editorial Board of Shanghai Land & Resources and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In 2023, China's crude steel production amount reached 1.019 billion tons, and the energy consumption of China's steel industry amount reached 561 million tons of coal. China's steel industry, with its dominant reliance on coal for energy and the primary use of blast furnaces and converters in production processes, as well as its massive output, has become the main field for achieving China's "carbon peaking" and "carbon neutrality" goals. Firstly, this article summarizes the current production status of the steel industry and the situation of carbon emissions in the steel industry. Secondly, it discusses the dual-carbon policies based on the national and steel industry levels and outlines the future directions for China's steel industry. Subsequently, it analyzes the current state of research and application of mature and emerging low-carbon technology in China's steel industry and details the low-carbon plans of China's steel companies using the low-carbon technology roadmaps of two representative steel companies as examples. Finally, the article gives policy suggestions for the further carbon reduction of China's steel industry. The purpose of this paper is to show the efforts and contributions of China's steel industry to the early realization of its "carbon peaking" and "carbon neutrality" goals. [ABSTRACT FROM AUTHOR]

Under the increasingly severe climate crisis, it is of great significance to carry out research on carbon budget calculation and multi-scenario prediction under the "double carbon" target for realizing regional low-carbon and high-quality development. Taking the Yellow River Basin (YRB) of China as the research area, this paper firstly calculates the carbon budget of the YRB from 2000 to 2020 and analyzes its spatiotemporal change. Then, we simulated carbon emissions, carbon sequestration, and net carbon budget during 2030-2100 under the SSP1-5 scenario. Finally, the regulation strategies of carbon balance of the YRB were proposed from four aspects: strengthening ecological governance, improving land use mode, optimizing industrial structure and advocating low-carbon life. Our results showed: (1) The overall carbon sequestration and carbon emission show a trend of fluctuating increase during 2000 to 2020, but the increase rate of carbon emission is far greater than carbon storage. The net carbon emission during 2000-2020 is negative, which is manifested as a carbon sink area. (2) The order of carbon sequestration of the provinces in the YRB during 2030-2100 is the same under the SSP1-5 scenario, and the descending order is the following: Inner Mongolia, Qinghai, Shaanxi, Gansu, Shanxi, Henan, Ningxia, and Shandong. (3) The STIRPAT model can be used to predict the carbon emissions of the YRB in the future with high precision. (4) In terms of net carbon emissions, under the SSP1-5 scenario, the YRB will be a carbon sink area from 2030 to 2080, and a carbon source area from 2080 to 2100. (5) Different provinces have different paths to low-carbon development, Inner Mongolia and Qinghai maintain a good low-carbon development path under SSP1, SSP2 and SSP4 scenarios, Ningxia and Shandong maintain a good low-carbon development path under SSP1 and SSP2 scenarios, Shanxi maintains a good low-carbon development path under SSP1 and SSP3 scenarios, and Gansu, Shaanxi and Henan maintain a good low-carbon development path under the SSP3 scenario. [ABSTRACT FROM AUTHOR]

China has always tried to maintain multilateralism and advocated working together to deal with global climate change through multilateral mechanisms. Although China’s announcement to peak its carbon emissions by 2030 comes as no surprise, its commitment to carbon neutrality does. As the period between its carbon peaking and carbon neutrality is far shorter than that in the developed countries, China’s economic and energy structures need to be adjusted toward the low-carbon and carbon-free end with unprecedented efforts. To that end, China should define the responsibilities of local authorities and industrial entities to promote the orderly accomplishment of carbon peaking in all regions and industries. To supply the huge investments needed to achieve the goals of carbon peaking and carbon neutrality, China has an urgent need to accelerate the development of green finance and a national carbon emissions trading market, guide the rational allocation of resources, and channel resources to eco-friendly projects for green and low-carbon development. At the same time, China and the international community should strengthen dialogue and coordination, promote international cooperation on the way to carbon neutrality, formulate widely acceptable policy guidelines as soon as possible, and avoid unilateral measures that may cause conflicts. [ABSTRACT FROM AUTHOR]

Under the influence of the dual policies of sustainable economic development and the national dual-carbon target, the establishment of an environmental protection department for the treatment of heavily polluting industries is imminent, and the country has launched pollution control policies and regulations to restrict the emission rights of heavily polluting industries. Therefore, this paper focuses on whether the restriction of emission rights in key industries has reduced carbon emissions. To achieve this, this paper uses panel data of prefecture-level cities in China from 2006 to 2019 and adopts a two-way fixed-effects DID model to systematically analyze the impact of the key pollution industry governance policies launched by the Ministry of Environmental Protection on CO2 emissions in 2017. And further analyze the role of variables such as green technology innovation patents and energy efficiency using this model, while parallel trend tests and placebo tests, and related policies are used to ensure the robustness of the regression results. This paper reveals that: (1) The heavy pollution industry governance policy implemented in 2017 can effectively reduce CO2 emissions in the cities of the treated group, and the effect is more significant in the year of policy implementation; (2) Green utility patents and energy-use efficiency are the effective mediating mechanisms to reduce CO2 emissions; (3) Over time, the effect of heavy pollution industry governance policy on CO2 emissions gradually decreases; (4) The reliability of the baseline regression results of this paper is proved by the use of parallel trend tests, placebo tests, and tests excluding the influence factors such as relevant policies in the same period. Therefore, the key polluting industries treatment policy launched by China's Ministry of Environmental Protection in 2017 under the recent dual-carbon policy development goals formulated by China, can effectively reduce carbon emissions; however, in the future economic development process, the government should give more consideration to the continuity of the policy impact and its coherence on economic development when implementing the policy. [ABSTRACT FROM AUTHOR]

China has abundant agricultural and forestry waste resources that are crucial sources of energy for substituting fossil fuels and achieving the carbon peaking and carbon neutrality goals. These resources play an essential role in reducing carbon dioxide emissions and promoting sustainable development. This paper presents an estimation of the number of biomass resources that can be used for energy in 2020 by using parameters such as the grass-to-grain ratio coefficient and excretion coefficient. Moreover, the potential for conversion of biomass resources into biomass energy is evaluated by using parameters such as lower heating value and gas production coefficient. Finally, based on the whole life cycle theory, the potential of biomass energy utilization to reduce carbon dioxide emissions and its impact on carbon peaking is calculated. It was found that the total amount of fossil fuels that can be replaced by biomass energy is 256 million tons of standard coal. Utilizing biomass energy can reduce carbon dioxide emissions by approximately 520 million tons, with a peak impact of 4–6% on carbon peaking. The research results presented in this article can provide valuable data to support the promotion of green transformation in various regions. The findings can serve as a useful reference for formulating localized biomass utilization plans and designing effective emission reduction policies. [ABSTRACT FROM AUTHOR]

The digital economy is crucial to promoting green technology innovation and development. However, there needs to be more research on the relationship between the digital economy, digital talent aggregation (DTA), and green technology innovation (GTI). Therefore, based on the data from 30 provinces, municipalities, and autonomous regions in mainland China (excluding Tibet) from 2011 to 2020, this paper uses fixed effect, threshold effect, moderating effect model, and spatial econometric model to make an empirical analysis of this research direction. The results show that (1) there is a nonlinear relationship between the digital economy and green technology innovation (GTI). This effect has regional heterogeneity effects. In the central and western regions, the digital economy is more prominent in promoting green technology innovation (GTI). (2) Digital talent aggregation (DTA) has a negative moderating effect on the influence of the digital economy on promoting green technology innovation (GTI). (3) The negative spillover effect of the digital economy on local green technology innovation (GTI) will be intensified at the spatial level due to the accumulation of digital talents. Therefore, this paper suggests that the government should actively and reasonably develop the digital economy to promote green technology innovation (GTI). In addition, the government can implement a flexible talent introduction policy, strengthen talent quality education and talent service station construction. [ABSTRACT FROM AUTHOR]

After the carbon peaking and carbon neutrality goals were proposed, different institutions and scholars carried out research on China's medium- and long-term mitigation pathways. Through the literature review of China's research on carbon neutrality, this paper finds that the zero-carbon energy transition is the key to achieving carbon neutrality. The main driving factors of reducing energy-related carbon emissions include the cleanliness of primary and secondary energy supply systems, the electrification of energy consumption and the development of hydrogen energy, energy efficiency improvement, carbon capture and storage (CCS), and negative emissions. Furthermore, based on the literature, this paper conducts a quantitative comparative analysis, and selects key indicators for comparative analysis and summary from seven dimensions, including economic and social development, carbon emission pathways, primary energy consumption, final energy consumption, final hydrogen energy consumption, electricity demand and supply, and installed capacity and structure of power generation. Main conclusions are as follows: (i) In terms of carbon emission pathways, the institutions generally believed that China will peak carbon emissions around 2028 and achieve carbon neutrality between 2050 and 2060. Achieving net-zero or near-zero emissions first in the power sector is the key to carbon neutrality across the society; (ii) In terms of energy supply, it is a consensus to increase the proportion of clean energy and reduce carbon emissions from the source. The proportion of clean energy in primary energy will increase to more than 85%, and the proportion of clean energy power generation and installed capacity will reach more than 90%; (iii) In terms of energy use, electricity will become the core of final energy consumption in the future. The predicted electricity consumption across the society will range 14.3–18.4 PWh, and the predicted electrification rate will exceed 65%. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between digital finance and carbon emissions and explores the ecological effects of digital finance. Based on a panel data of 256 cities in China from 2011 to 2018, this paper investigates the impact of digital finance on carbon emissions and its intrinsic mechanisms. First, digital finance significantly suppresses the intensity of regional carbon emission, and the breadth of coverage, depth of use, and degree of digital support of digital finance together curb regional carbon emissions, with the strongest suppressive effect being the breadth of coverage. In addition, the regression results remain significant after a series of robustness tests. Second, it reveals the potential mechanism of digital finance to curb urban carbon emissions. These mechanisms include the three channels: promoting industrial advancement, green technology innovation, and optimizing labor resource allocation. Third, the heterogeneity test finds that the energy saving and emission reduction effects of digital finance are significantly stronger in non-low-carbon pilot cities with low urbanization rates, confirming the emission reduction utility of digital finance development. Therefore, we should take advantage of digital finance to improve the green development of financial services and adopt diverse policy measures according to local conditions to maximize the ecological effects of digital finance on energy saving and emission reduction. In the context of the development strategy of "carbon peaking and carbon neutral," this study has some implications for management in developing a regional green development system supported by digital finance. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Achieving carbon peaking and carbon neutrality is an intrinsic requirement for sustainable development. The industrial structure primarily characterized by the chemical and energy industries poses a hindrance to the attainment of carbon peaking and carbon neutrality goals in the provinces of the Yellow River Basin of China. Predicting the time of carbon peaking and carbon neutrality and exploring the pathways of carbon peaking and carbon neutrality is an urgent issue for the government to address. The STIRPAT and InVEST models were used for the carbon emissions and carbon sequestration estimation in the nine provinces and regions of the Yellow River Basin from 2010 to 2060. The results show that the study area will realize carbon peaking in 2030 under the baseline scenario, with the carbon emission of 4146 million tons. Under the high-emission scenario, the study area will realize carbon peaking in 2035, with the carbon emission of 4372 million tons. Under the low-carbon energy-saving scenario, the study area will realize carbon peaking in 2025, with the carbon emission of 3909 million tons. The entire study area cannot achieve carbon neutrality in 2060 under the three scenarios. Under the baseline and high-emission scenarios, only Qinghai and Sichuan can realize carbon neutrality by 2060, and under the low-carbon energy-saving scenario, Sichuan, Qinghai, Shaanxi, and Gansu will achieve carbon neutrality on time. This research indicates that attaining carbon peaking and carbon neutrality can be accomplished by implementing strategies such as encouraging the growth of clean energy, managing energy usage, refining the industrial structure, and strengthening the ecosystem's carbon sink. [ABSTRACT FROM AUTHOR]

The carbon emissions of the power industry account for over 50% of China's total carbon emissions, so achieving carbon peak and carbon neutrality in the power sector is crucial. This study aims to simulate the impacts of three energy policies—carbon constraints, the development of a high proportion of renewable energy, and carbon trading—on China's energy transition, economic development, and the power sector's energy mix. Through the construction of a dynamic computable general equilibrium (CGE) model for China and its integration with the SWITCH-China electricity model, the impact of diverse energy policies on China's energy transition, economic progress, and the power mix within the electricity industry has been simulated. The integration of the SWITCH-China model can address the limitations of the CGE model in providing a detailed understanding of the specific intricacies of the electricity sector. The results indicate that increasing the stringency of carbon restrictions compels a reduction in fossil energy use, controlling the output of coal-fired power units, and thereby reducing carbon emissions. The development of a high proportion of renewable energy enhances the cleanliness of the power sector's generation structure, further promoting the national energy transition. Implementing a carbon trading policy, where the entire industry shares the burden of carbon reduction costs, can effectively mitigate the economic losses of the power sector. Finally, the policies to further enhance the implementation of carbon trading policies, strengthen effective governmental regulation, and escalate the deployment of renewable energy sources are recommended. [ABSTRACT FROM AUTHOR]

In the analogy where achieving the "carbon peaking and carbon neutrality" goals (the "dual carbon" goals) is compared to a battle, energy is the main battlefield, and electric power the main force. The low-carbon transformation path of the electric power industry exerts fundamental impact on progress towards carbon peaking and carbon neutrality of the whole society. Therefore, this paper first analyzes challenges and opportunities faced by the electric power industry to achieve the "dual carbon" goals; secondly, on the basis of deep low-carbon, zero-carbon and negative-carbon scenarios of the electric power industry, this paper quantifies and delves into the consumption structure of primary energy and final energy, as well as the future development positioning and trend of different categories of energy. Based on the research results, this paper proposes low-carbon transformation path of the electric power system at the stages of carbon peaking, deep low-carbon and carbon neutrality, and analyzes the trend of power supply cost changes in different scenarios. On this basis, a series of implementation key points and measures are proposed to adapt to green and low-carbon transformation of the electric power industry, covering areas such as coal-fired electric power development positioning, new energy development and utilization, diversified supply and demand, new energy industry chain, and power supply costs, and so forth. [ABSTRACT FROM AUTHOR]

The iron and steel industry is the largest carbon emitter in China's manufacturing sector and one of the most important fields in the country's response to climate change. This paper aims to explain the current situation, technological pathways, and future direction of green and low-carbon development of the iron and steel industry. According to the carbon emissions of the iron and steel industry, this paper analyzes the relationship between steelmaking technologies and carbon emissions, as well as the transformation trend of the world's iron and steel industry, finding that China's iron and steel industry faces both opportunities and challenges. Steel scrap recycling and electric furnace steelmaking technologies, re-electrification, hydrogen metallurgy, resource recycling and by-products, and carbon capture and utilization (CCU) are the main technologies tailored to the transformation pathways, and the optimization of energy consumption structure is an important direction for future development. Therefore, this paper believes that clean energy, as a guarantee for carbon mitigation, will play an increasingly important role in the process towards achieving carbon peaking and carbon neutrality goals (the "dual carbon" goals), in addition to the transformation of metallurgical technologies. [ABSTRACT FROM AUTHOR]

China faces tough challenges in the process of low-carbon transformation. To determine whether China can achieve its new 2030 carbon peaking and carbon intensity reduction commitments, accurate prediction of China's CO2 emissions is vital. In this paper, the random forest (RF) model was used to screen 26 carbon emission influencing factors, and seven indicators were selected as key variables for prediction. Subsequently, a three-layer back propagation (BP) neural network was constructed to forecast China's CO2 emissions and intensity from 2020 to 2040 under the 13th Five-Year Plan, 14th Five-Year Plan, energy optimization, technology breakthrough, and dual control scenarios. The results showed that energy structure factors have the most significant impact on China's CO2 emissions, followed by technology level, and economic development factors are no longer the main drivers. Under the 14th Five-Year Plan scenario, China can achieve its carbon peaking on time, reaching 10,434.082 Mt CO2 emissions in 2030. Although the new commitment to intensity reduction (over 65%) under this scenario cannot be achieved, the 14th Five-Year Plan can bring about 73.359 and 539.710 Mt of CO2 reduction in 2030 and 2040 respectively, compared to the 13th Five-Year Plan. Under the technology breakthrough and dual control scenarios, China will meet its new commitments ahead of schedule, with the dual control scenario being the optimal pathway for CO2 emissions to peak at 9860.08 Mt in 2025. It is necessary for Chinese policy makers to adjust their current strategic planning, such as accelerating the transformation of energy structure and increasing investment in R&D to achieve breakthroughs in green technologies. [ABSTRACT FROM AUTHOR]

Copyright of Industrial Water Treatment is the property of CNOOC Tianjin Chemical Research & Design Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In 2021, under the carbon peaking and carbon neutrality targets of China, Shanghai declared that it would peak carbon emissions by 2025. This would require the formulation of specific and effective implementation paths of low-carbon development. This paper conducts a dynamic study on Shanghai's carbon dioxide emissions by establishing a system dynamic model of Shanghai's economy-energy-carbon emission. It studies the implementation path of Shanghai's carbon peaking and carbon neutrality targets by scenario analysis. The results show that under the Baseline Scenario, Shanghai's carbon emissions will peak by 2035, which is later than what the government promised. However, the Carbon-Peak and Deep-Low-Carbon Scenarios suggest that Shanghai can achieve the carbon peaking target in 2025, and the CO2 emission intensity will drop by 89.2% and 92.4%, respectively, by 2060. Improving the industrial energy utilization efficiency and the proportion of clean electricity is crucial for Shanghai to reduce carbon emissions. The transportation sector will become the main sector of urban energy consumption in the late stage of carbon neutralization. Without considering carbon sinks, the costs of achieving carbon neutrality for the three scenarios are approximately 5.68 billion, 2.79 billion and 1.96 billion USD, respectively. Finally, this paper puts forward relevant suggestions on promoting the transformation of energy structure, and strengthening specific emission reduction measures of various departments, to provide references for Shanghai's policy formulation. [ABSTRACT FROM AUTHOR]

The development of digital technology provides new governance methods for achieving the goal of "carbon peaking and carbon neutrality". Since 2013, the pilot construction of smart cities in China has strengthened the government's digital governance capabilities and significantly influenced the reduction in carbon emissions. This paper provides empirical evidence for the driving effect of digitization on carbon emission reduction based on panel data from 353 cities in China. The results show that digital governance based on smart city construction pilots has significantly reduced regional carbon emissions, and the implementation of smart city construction pilots has reduced regional carbon emissions by an average of 6.6%, and this effect is sustainable over the long term. The increase in the level of digitalization has significantly promoted carbon emission reduction. From the perspective of the impact path, regional green patent innovation has played a significant partial intermediary effect in the process of digitization-driven carbon emission reduction. From a micro-mechanism standpoint, digitization plays a significant role in promoting the green innovation of high-polluting listed companies. [ABSTRACT FROM AUTHOR]

Copyright of Applied Chemical Industry is the property of Shaanxi Research Design Insitute of Petroleum & Chemical Industry and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Now, China has made it clear that it will strive to have CO2 emissions peak before 2030 and achieve carbon neutrality before 2060 (the "dual carbon" goals), based on the logic that carbon peaking is a prerequisite for carbon neutrality. The year 2021 is the first year of China's 14th Five-Year Plan period. As the main battlefields to achieve the "dual carbon" goals, cities are also required to build on their pathways towards such goals under new conditions. Based on the progress China has made with pilot cities for low-carbon development and the discussion on 60 cities by category, this paper identifies the commonalities and differences between Chinese cities' pathways towards carbon peaking, and concludes that Chinese cities need to peak their carbon emissions in an organized and step-wise way on the basis of classification and according to their own development level and emission characteristics. In light of the above conclusion, this paper provides feasible suggestions for Chinese cities' carbon peaking. [ABSTRACT FROM AUTHOR]

Copyright of Automotive Digest is the property of Automotive Digest Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The reasonable spatial layout of industries is crucial to carbon reduction and high-quality economic development. This paper establishes a research paradigm for optimizing the industrial spatial layout and high-quality development in the context of carbon peaking. Based on the perspectives of industrial transfer, the static agglomeration index, dynamic agglomeration index, industrial gradient coefficient, and low-carbon competitiveness index are used to analyze industrial agglomeration, competition status, and low-carbon competitiveness. Taking the Great Bend of the Yellow River (the Bend) as an example, we analyze the current situation in industrial development, guide the orderly transfer of industry, and optimize the spatial layout of industries to achieve high-quality economic development. The results show that resource- and capital-intensive industries have obvious advantages in agglomeration, competitive edge, and low-carbon competitiveness, while labor- and technology-intensive industries have weak advantages. The spatial layout of agglomerated industries was analyzed across four types of factor-intensive industries; these industries are the focus of industrial layout in the Bend. Promising industries were observed in all types of factor-intensive industries except capital-intensive industries, and these industries should be cultivated carefully in all provinces. Scale industries were mainly observed in resource- and capital-intensive industries; these industries should be transformed and upgraded to control the total amount and intensity of carbon emissions. The study's findings provide a basis for optimizing the spatial layout of industries and reducing carbon emissions through industrial transfer in the context of carbon peaking. The relevant industries should be transformed and upgraded to control the total amount and intensity of carbon emissions. [ABSTRACT FROM AUTHOR]

Resource-based cities are important strategic bases for securing resources in China and have made great contributions to the country's economic development. Long-term extensive resource development has made resource-based cities an important region constraining China from achieving comprehensive low-carbon development. Therefore, it is of great significance to explore the low-carbon transition path of resource-based cities for their energy greening, industrial transformation, and high-quality economic development. This study compiled the CO2 emission inventory of resource-based cities in China from 2005 to 2017, explored the contribution to CO2 emissions from three perspectives (driver, industry, and city), and predicted the peak of CO2 emissions in resource-based cities. The results show that resource-based cities contribute 18.4% of the country's GDP and emit 44.4% of the country's CO2 and that economic growth and CO2 emissions have not yet been decoupled. The per capita CO2 emissions and emission intensity of resource-based cities are 1.8 times and 2.4 times higher than the national average, respectively. Economic growth and energy intensity are the biggest drivers and main inhibitors of CO2 emissions growth. Industrial restructuring has become the biggest inhibitor of CO2 emissions growth. Based on the different resource endowments, industrial structures, and socio-economic development levels of resource-based cities, we propose differentiated low-carbon transition pathways. This study can provide references for cities to develop differentiated low-carbon development paths under the "double carbon" target. [ABSTRACT FROM AUTHOR]

This paper summarizes the new progress in building China's national carbon market since 2020, and analyzes the connotation of China's carbon peaking and carbon neutrality goals ("dual carbon" goals) and its significance to socio-economic development in China. Through case analysis, this paper expounds the role of China's recent carbon trading activities in promoting the transition toward green and low-carbon socio-economic development. On that basis, this paper conceives a top-level design for building the national carbon market that serves the "dual carbon" goals: building and improving the national carbon market that fundamentally serves as an emission reduction tool, developing the institutions and systems of the national carbon market with a focus on emission cap, creating a multilevel and diversified carbon trading scheme centered on the national carbon market, exploring a mechanism that takes carbon emission reduction as the core and promotes the synergistic effect of the carbon market with other environmental rights trading markets, and pursuing the healthy and orderly development of carbon finance that aims to serve carbon emission reduction. [ABSTRACT FROM AUTHOR]

Power industry is the largest carbon emission sector in China. Therefore, this industry will play an important role in achieving the carbon peaking and carbon neutrality goals ("dual carbon" goals) for the whole society. For this purpose, it is critical to balance four relationships, i.e. relationship between carbon mitigation and energy security, carbon peaking in the short term and carbon neutrality in the long term, the coordinated carbon mitigation in power industry and other industries, and technical feasibility and economic efficiency. This paper proposes the China's Energy Interconnection scenario to promote carbon peaking and carbon neutrality of the society, which can be divided into three stages, i.e. peaking carbon emissions before 2030, rapid emission reduction during 2030–2050, and comprehensive carbon neutrality before 2060. It is expected that the power system will achieve zero emissions before other industries and contribute negative emissions afterwards, providing emission space for carbon neutrality in other industries across the society. Looking into the future, China's electricity demand will continue to grow. Clean energy will become the main power source, the use of coal-fired power will be gradually reduced, and gas-fired power will undertake the function of peak-load regulation. Faster progress will be made in forming an overall grid pattern with ultra-high voltage (UHV) grid as the backbone and featuring "west-to-east and north-to-south power transmission, a balanced energy mix, and transnational power interconnection." Finally, this paper discusses a new-type of power system characterized by a high proportion of electricity generated from clean energy, high ratio of electric and electronic equipment, and a high proportion of power transmission and reception, together with summer and winter high load periods, and points out the challenges faced by the new-type power system with a high proportion of renewable energy sources in terms of flexibility, safety, and economic efficiency, and proposes corresponding policy recommendations. [ABSTRACT FROM AUTHOR]

Copyright of New Building Materials / Xinxing Jianzhu Cailiao is the property of New Building Materials Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Carbon peaking and carbon neutrality have become key agendas for countries to participate in global climate change governance. Research on China's carbon peaking has a guidance significance for the actions to achieve a nationwide carbon peaking by 2030. This paper builds a STIRPAT model which, in combination with a scenario -setting method, predicts the carbon peaking time of eight comprehensive economic zones in China, and analyzes the possible path of achieving carbon peaking at national level. The result shows a disparity in carbon peaking time among the zones--there are zones that can achieve carbon peaking under baseline scenario; zones that can achieve carbon peaking under conditional scenarios; and zones that cannot achieve carbon peaking under any scenario. In the first group, the zones can achieve carbon emission through both active path (southwest and eastern coastal comprehensive economic zones) and passive path (northeast comprehensive economic zones) according to characteristics of regional socio-economic development. The second group includes two economic anchors (northern coastal and southern coastal comprehensive economic zones) and an energy-exporting center (the middle reaches of Yellow River comprehensive economic zone). Zones in the third group generally witness a late development (the middle reaches of Yangtze River and northwest comprehensive zones). Based on characteristics of regional economy, population, industry, and energy of each zone, this paper proposes an initiative that the achievement of a nationwide carbon peaking should take regional development equity into consideration, and presumes that making each zone adopts differentiated peaking strategies may have a stronger effectiveness in controlling carbon emission growth than making all zones adopt strategies constraining on single factors on industry or energy. [ABSTRACT FROM AUTHOR]

Copyright of China Forestry Economy is the property of China Forestry Economy Magazine Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chemical Engineering of Oil & Gas / Shi You Yu Tian Ran Qi Hua Gong is the property of PetroChina Southwest Oil & Gas Field Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since September 22, 2020, President Xi Jinping, who is also the general secretary of the Communist Party of China (CPC) Central Committee, has reiterated China's carbon peaking and carbon neutrality goals on many major international occasions and at many important conferences of the CPC Central Committee. The transition to carbon neutrality is becoming a systemic revolution concerning whether China's high-quality economic and social development and sustainable prosperity can be achieved. Incorporating carbon peaking and carbon neutrality well into overall economic and social development framework and ecological civilization construction, setting out the timetable, clarifying the roadmap, and proposing specific action plans have become a global concern. Through the analysis of international situations and China's national strategies, and the application of Integrated Assessment Modeling Consortium (IAMC), this paper explores China's pathways to carbon peaking and neutrality, and puts forward recommendations for high-quality development featuring low emissions. [ABSTRACT FROM AUTHOR]

Copyright of Natural Gas Industry is the property of Natural Gas Industry Journal Agency and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Under the guidance of "carbon peaking and carbon neutrality", "ecological priority" and "green development" have become the popular consensus, and the financial regulatory level continuously guides financial institutions to increase investment in green and low carbon projects. In the field of green financial supervision in China, due to imperfect systems and poor adaptability, financial risks are often difficult to control within a reasonable range, which has had a significant impact on financial supervision and management. This article aimed to optimize the green financial regulatory information system under the carbon peaking and carbon neutrality goals. Firstly, this article analyzed the concept and background of green finance regulation; then, an investigation was conducted on the construction of the green finance service information system, and a green finance information system supervision plan was established. Finally, data collection and analysis were conducted, and the supervision of the green finance information system was carried out using a standard genetic algorithm based on a fuzzy evaluation matrix. This article used a genetic algorithm to optimize the green financial regulatory information system, and selected 500 people to evaluate the use of the system before and after the optimization. The proportion of very satisfied people increased from 11.2% to 19.2%; the proportion of satisfied people increased from 17.2% to 37.6%; the proportion of people who were very dissatisfied decreased from 14.4% to 3.6%. The experiment in this article showed that the optimized system could operate more stably, and the process was more reasonable. The statistical analysis ability was significantly enhanced, and the functions were more comprehensive. This suggests that the system could better regulate the development of green finance. [ABSTRACT FROM AUTHOR]

With the changes in the spatial structure of China's economic development, urban clusters have become the primary carriers of China's regional economy and green growth. We used annual data from 2010 to 2021 to study the carbon emission characteristics and carbon reduction pathways of 36 cities in the Yangtze River Delta region. Firstly, based on the decoupling elasticity coefficient and carbon intensity index, the researchers divided the cities in the Yangtze River Delta into six types of carbon emissions. Then, the STIRPAT model was used to regress the panel data of different carbon emission types for 11 years, analyze the driving factors of carbon emissions, and develop differentiated carbon emission reduction paths for cities with six carbon emission types. According to the results, the cities of Type I need to accelerate low-carbon technology innovation; the cities of Type II need to improve energy efficiency and strengthen low-carbon technology research and development; the cities of Type V need to suppress foreign investment in high-energy consumption and high-emission projects in the local area; the cities of Type VI need to accelerate the process of new urbanization and optimize industrial structure. However, the researchers found that the cities of Types III and IV have not yet received effective emission reduction pathways, and their emission reduction policies and measures need to be further studied. [ABSTRACT FROM AUTHOR]

With the increase in energy demand, environmental issues such as carbon emissions are becoming more and more prominent. China will scale its intended nationally determined contributions by adopting more vigorous policies and measures. China aims to have CO2 emissions peak before 2030 and achieve carbon neutrality before 2060. The current challenge and priority of China's high-quality development is to ensure a harmonious balance between the ecological environment and the economy. The South-to-North Water Diversion Project passes through Beijing, Tianjin, Henan, and Hebei, which were chosen as the study sites. The carbon emission data was from the China Carbon Emission Database 2000–2019. Decoupling modeling using statistical yearbook data from four provinces and municipalities. KMO and Bartlett's test used SPSS 27 software. The selection of indicators was based on relevance. Analyses were performed using the extended STIRPAT model and ridge regression. Moreover, projections of carbon peaks in the study area for 2020–2035 under different rates of change were simulated by the scenario analysis method. The results show that: (1) The decoupling analysis of the four provinces and cities from 2000-2019 gradually shifts to strong decoupling; (2) Resident population, energy structure, and secondary industry as a proportion of GDP significantly impact carbon emissions; (3) From 2000–2035, Beijing and Henan experienced carbon peaks. The peak time in Beijing was 96.836 million tons in 2010. The peak time in Henan was 654.1004 million tons in 2011; (4) There was no peak in Hebei from 2000–2035. [ABSTRACT FROM AUTHOR]

With the increasing severity of climate change, the unevenness of economic development has resulted in the heterogeneity of carbon peaking in different regions. Under the dual‐carbon target strategy, the peak research in China's less developed provinces is significant. This study uses the emission factor method to calculate the carbon emission inventory of an economically underdeveloped province (Sichuan) and 15 major cities from 2010 to 2020. The carbon emissions in the Sichuan province showed a fluctuating trend, and the emission intensity decreased year by year. This study analyzes the decoupling effect of carbon emissions and GDP gold content (GDPgc). Sichuan's economy and carbon emissions have not been strongly decoupled. Finally, under three scenarios, it forecasts the peak carbon emissions in Sichuan province. Sichuan province will peak in 2029 (361.74 million tons) under the simultaneous peak scenario. This study provides an important reference for formulating and implementing energy‐saving and emission‐reduction policies in relatively poor regions. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

As a designated national low-carbon pilot city, Nanjing faces the challenge of reducing energy consumption and carbon emissions while experiencing rapid economic growth. This study developed a localized Long-range Energy Alternatives Planning System (LEAP) model specifically for Nanjing and constructed four different development scenarios. By utilizing the Log Mean Divisia Index (LMDI) decomposition, the Tapio decoupling elasticity coefficient, and comparing the emission reduction effects of individual measures and their cross-elasticity of carbon reduction, this study investigated the key factors and their carbon reduction path characteristics in Nanjing toward its carbon peak target by 2030. The results indicate that: (i) Nanjing could reach its peak carbon target of about 3.48 million tons by 2025 if carbon reduction measures are strengthened; (ii) The main elements influencing Nanjing's carbon peak include controlling industrial energy consumption, restructuring the industry, promoting the construction of a new power system, and developing green transportation; (iii) Controlling industrial energy consumption and changing industrial structure have a greater impact on reducing carbon emissions than other measures, and both have a synergistic effect. Therefore, Nanjing should prioritize these two strategies as the most effective methods to reduce carbon emissions. Additionally, to slow down the growth of urban carbon emissions, policies aimed at reducing the energy intensity and carbon intensity of energy consumption should be formulated. For instance, the integration and innovation of green industries within the city region, such as new energy vehicles, new energy materials, and big data, should be accelerated, and the proportion of clean energy consumption in urban areas should be increased. The LEAP (Nanjing) model has successfully explored Nanjing's low-carbon pathway and provided policy guidance for the optimal transformation of industrial cities and early carbon peaking. [ABSTRACT FROM AUTHOR]

The manufacture of products in the industrial sector is the principal source of carbon emissions. To slow the progression of global warming and advance low-carbon economic development, it is essential to develop methods for accurately predicting carbon emissions from industrial sources and imposing reasonable controls on those emissions. We select a support vector machine to predict industrial carbon emissions from 2021 to 2040 by comparing the predictive power of the BP (backpropagation) neural network and the support vector machine. To reduce noise in the input variables for BP neural network and support vector machine models, we use a random forest technique to filter the factors affecting industrial carbon emissions. The statistical results suggest that BP's neural network is insufficiently adaptable to small sample sizes, has a relatively high error rate, and produces inconsistent predictions of industrial carbon emissions. The support vector machine produces excellent fitting results for tiny sample data, with projected values of industrial carbon dioxide emissions that are astonishingly close to the actual values. In 2030, carbon emissions from the industrial sector will have reached their maximum level. [ABSTRACT FROM AUTHOR]

A study linking the two economic and social phenomena of rural labor force migration and energy transition can help analyze the underlying causes of rural "Energy Poverty". However, how off-farm employment affects household low-carbon energy consumption and its potential mechanisms requires further research. Using 1351 sampled rural households from the "Rural Energy, Population Transfer and Well-being" survey in 2018 and 2021 to explore response mechanisms through which off-farm employment can influence low-carbon energy intensity. Utilizing the multivariate regression, Sobel test, and moderating effect test, the results demonstrate that off-farm employment, including short-term and long-term off-farm employment, significantly increases the intensity of low-carbon energy use among rural households. Specifically, long-term off-farm employment tends to have a greater positive contribution to the low-carbon energy intensity than short-term off-farm employment. Furthermore, off-farm employment can affect household low-carbon energy intensity through the total income, and effect of the surrounding people in the off-farm employment process also increases their consumption intensity. The research reveals that the rural energy revolution under the constraints of "Carbon Neutral" and "Carbon Peak" should relate to the off-farm development of rural households to achieve "Precise Energy Poverty Alleviation". [ABSTRACT FROM AUTHOR]

Global climate change and ecological environment destruction have become global problems that cannot be ignored. As the largest developing country, China faces the reality of emission reduction from the international community and the pressure of domestic environmental protection. Based on the policy process of carbon peak and carbon neutrality in China, the allocation and use of carbon peak policy tools in China are analyzed by using the Multiple-Streams Approach, and some insights are proposed, hoping to provide some thinking for related research. The initiation of China's carbon peak and carbon neutrality policy agenda is inseparable from concerns about Problem Streams, discussions on policy streams, and the promotion of Political Streams, as well as the help of policy entrepreneurs. In the future, in the process of continuously promoting carbon peaking and carbon neutrality policies, China should be problem-oriented, continuously optimize policy guidelines, continue to deepen the political environment and promote comprehensive green transformation and sustainable economic and social development with "Double carbon" policies. [ABSTRACT FROM AUTHOR]

Catalytic membrane reactors have the advantages of allowing the selective removal of products, avoiding the separation procedure of powder catalysts from the reaction mixture, intensifying the diffusion of reactants in the catalytic region, and integrating different reactions in one unit. Catalytic membrane reactors have been widely applied in the fields related to carbon peaking and carbon neutrality, including the capture and utilization of carbon dioxide, hydrogen production, and hydrogenation reaction. This review summarizes the design and fabrication of catalytic membrane reactors, with the focus on the capture and efficient utilization of carbon dioxide, hydrogen production and efficient liquid-phase hydrogenation. The design of membrane materials, catalyst materials and catalytic membranes, and the operation of catalytic membrane reactors are discussed respectively. Finally, the perspectives and future challenges of catalytic membrane reactors for carbon peaking and carbon neutrality are forecasted. [ABSTRACT FROM AUTHOR]

With concerns about global warming and energy security, people are reducing fossil fuel use and turning to clean energy technologies. Mineral resources are used as materials for various energy technologies, and with the development of clean energy technologies, the demand for mineral resources will increase. China is a large country with various mineral resources, but its structural supply problem is severe. For China to reach the targets of carbon peaking before 2030 and carbon neutrality before 2060, they have set specific milestones for developing each clean energy industry; thus, the demand for mineral resources in clean energy will increase. We first summarise the mineral resources supply for China's development of clean energy technologies. We analyse the demand for various mineral resources in specific clean energy technology sectors under the stated policies scenario and sustainable development scenario through scenario setting. Finally, we combine current domestic mineral resource reserves and overseas import channels to analyse China's mineral resource supply and demand for developing the clean energy industry. Our results show that the surge in clean energy generation and electric vehicle ownership in China between 2020 and 2050 will lead to a significant increase in demand for mineral resources for these technologies and a shortage in the supply of some mineral resources. In particular, the supply of copper, nickel, cobalt, and lithium will be a severe constraint for clean energy development. We also find that secondary recycling of power battery materials in the electric vehicle sector could alleviate China's resource constraints. The findings of our study provide a better understanding of the kinds of mineral elements that are in short supply on the path of clean energy development in China under carbon peaking and carbon neutrality targets and the future channels that can be used to increase the supply of minerals. [ABSTRACT FROM AUTHOR]

Achieving carbon peaking and carbon neutrality in the building sector is an important component of China's "dual carbon" goals. In recent years, the country's direct carbon emissions in the building sector have hit a plateau while the total emissions still grow rapidly. Besides, the building materials for construction and refrigerants leaked during buildings' operation also result in greenhouse gas emissions. To achieve the targets set for future low-carbon development, the building sector should feature "sufficient demand, decarbonized structure and flexible load." According to the analysis of the emission reduction approaches adopted by different sectors, China's building sector should make a ceaseless effort to promote building energy conservation, improve electrification, and load flexibility, reform the energy system in rural areas, optimize the heating structure in northern China's urban areas, as well as reduce the emissions during construction and the non-CO2 gas emissions. In the 14th Five-Year period, it is suggested to clarify the total energy consumption and carbon emission targets, adjust the energy structure more vigorously, and draw up more measures to reduce the emissions related to construction and refrigerant leakage. [ABSTRACT FROM AUTHOR]

The successively proposed carbon peaking and carbon neutrality have not only set new goals for the green and low-carbon development of China’s economy, but also demonstrated China’s further determination and sense of responsibility for a greater contribution to address global climate change. Considering the importance of carbon peaking and carbon neutrality in the course of achieving the Second Centenary Goal (1949-2049), it is necessary for China to make scientific planning for the roadmap of carbon emission reduction, carbon peaking and carbon neutrality to ensure building a great modern socialist country under carbon constraints. More specifically, the optimization and realignment of energy structure, industrial structure, production and consumption structure, the rational planning of afforestation, and the vigorous development of global carbon emissions trading will be the core strategies for boosting green and low-carbon development of China’s economy. [ABSTRACT FROM AUTHOR]