Effect of Photovoltaic Power Generation on Carbon Dioxide Emission Reduction under Double Carbon Background

Increasing the efficiency and proportion of photovoltaic power generation installations is one of the best ways to reduce both CO_(2) emissions and reliance on fossil-fuel-based power supplies.Solar energy is a clean and renewable power source with excellent potential for further development and utilization.In 2021,the global solar installed capacity was about 749.7 GW.Establishing correlations between solar power generation,standard coal equivalent,carbon sinks,and green sinks is crucial.However,there have been few reports about correlations between the efficiency of tracking solar photovoltaic panels and the above parameters.This paper calculates the increased power generation achievable through the use of tracking photovoltaic panels compared with traditional fixed panels and establishes relationships between power generation,standard coal equivalent,and carbon sinks,providing a basis for attempts to reduce reliance on carbon-based fuels.The calculations show that power generation efficiency can be improved by about 26.12%by enabling solar panels to track the sun's rays during the day and from season to season.Through the use of this improved technology,global CO_(2) emissions can be reduced by 183.63 Mt,and the standard coal equivalent can be reduced by 73.67 Mt yearly.Carbon capture is worth approximately EUR 15.48 billion,and carbon accounting analysis plays a vital role in carbon trading.

Carbon emission trading system and stock price crash risk of heavily polluting listed companies in China:based on analyst coverage mechanism

This study reveals the inconsistencies between the negative externalities of carbon emissions and the recognition condition of accounting statements.Hence,the study identifies that heavily polluting enterprises in China have severe off-balance sheet carbon reduction risks before implementing the carbon emission trading system(CETS).Through the staggered difference-in-difference(DID)model and the propen-sity score matching-DID model,the impact of CETS on reducing the risk of stock price crashes is examined using data from China’s A-share heavily polluting listed companies from 2007 to 2019.The results of this study are as follows:(1)CETS can significantly reduce the risk of stock price crashes for heavily polluting companies in the pilot areas.Specifically,CETS reduces the skewness(negative conditional skewness)and down-to-up volatility of the firm-specific weekly returns by 8.7%and 7.6%,respectively.(2)Heterogeneity analysis further shows that the impacts of CETS on the risk of stock price crashes are more significant for heavily polluting enterprises with the bear market condition,short-sighted management,and intensive air pollution.(3)Mechanism tests show that CETS can reduce analysts’coverage of heavy polluters,reducing the risk of stock price crashes.This study reveals the role of CETS from the stock price crash risk perspective and helps to clarify the relationship between climatic risk and corporate financial risk.

Exploration on Key Technologies and Practical Paths for Carbon Emission Reduction in Food System

On the basis of existing research,carbon emission reduction technologies in production,processing,packaging,transportation and storage of the food system were summarized,and their application effects were analyzed.In view of the inherent inadequacy of carbon emission reduction technologies in Chinese food system,starting from carbon labeling technologies and ESG system of the food industry,the unsoundness of the carbon emission reduction evaluation system and the high cost of related technology promotion,countermeasures such as strengthening top-level design,encouraging and supporting the development of new carbon emission reduction technologies,and improving carbon emission reduction technology subsidies were proposed by drawing on domestic and international experiences.

Carbon emissions reduction potentiality for railroad transportation based on life cycle assessment

This study addresses the comparative carbon emissions of different transportation modes within a unified evaluation framework,focusing on their carbon footprints from inception to disposal.Specifically,the entire life cycle carbon emissions of High-Speed Rail(HSR),battery electric vehicles,conventional internal combustion engine vehicles,battery electric buses,and conventional internal combustion engine buses are analyzed.The life cycle is segmented into vehicle manufacturing,fuel or electricity production,operational,and dismantlingrecycling stages.This analysis is applied to the Beijing-Tianjin intercity transportation system to explore emission reduction strategies.Results indicate that HSR demonstrates significant carbon emission reduction,with an intensity of only 24%-32% compared to private vehicles and 47%-89% compared to buses.Notably,HSR travel for Beijing-Tianjin intercity emits only 24% of private vehicle emissions,demonstrating the emission reduction benefits of transportation structure optimization.Additionally,predictive modeling reveals the potential for carbon emission reduction through energy structure optimization,providing a guideline for the development of effective transportation management systems.

Analysis of transportation carbon emissions and its potential for reduction in China

The transportation industry is an essential sector for carbon emissions mitigation.This paper firstly used the LMDI(Logarithmic Mean Divisia Index)decomposition method to establish factors decomposition model on China's transportation carbon emission.Then,a quantitative analysis was performed to study the factors influencing China's transportation carbon emissions from 1991 to 2008,which are identified as transportation energy efficiency,transportation structure and transportation development.The results showed that:(1)The impact of transportation development on transportation carbon emissions showed pulling function.Its contribution value to carbon emissions remained at high growth since 1991 and showed an exponential growth trend.(2)The impact of transportation structure on transportation carbon emissions showed promoting function in general,but its role in promoting carbon emissions decreased year by year.And with the continuous optimization of transportation structure,the promoting effect decreased gradually and showed the inversed"U"trend.(3)The impact of transportation energy efficiency on transportation carbon emissions showed a function of inhibition before pulling.In order to predict the potential of carbon emission reduction,three scenarios were set.Analysis of the scenarios showed that if greater intensity emission reduction measures are taken,the carbon emissions will reduce by 31.01 million tons by 2015 and by 48.81 million tons by 2020.

Spatial emission reduction effects of China’s carbon emissions trading:quasi-natural experiments and policy spillovers

Insufficient assessment of emission reduction effects still exists in the carbon emission rights trading system,a major environmental regulation measure in China.Based on the data from the carbon trading pilot covering the years from 2007 to 2017,this study combined the synthetic control method with dynamic spatial Durbin model to comprehensively evaluate the spatial emission reduction effects of carbon trading policies.The results showed that:①The carbon trading policies promoted carbon emission reductions in the pilot regions,among which Tianjin and Hubei responded significantly,and also helped to suppress carbon emissions in the neighboring areas.②Long-term emission reduction effect from carbon emissions trading became gradually significant,while the indirect emission reduction effect was relatively weaker.③In term of reducing carbon emissions,the economic development channel played a key role,but it had a threat to the promotion of carbon emissions in the surrounding areas.Energy consumption was the main obstacle to the growth of carbon emissions.④In the long run,technological progress tended to become the key to the effective implementation of potential emission reduction effects of carbon trading policies.Based on the above findings,we suggest that the construction of a national carbon trading market should be promoted,the balanced development and orderly advancement of regional carbon trading markets should be paid attention to,the coordinated development of green economy as well as knowledge and technology exchange and cooperation among regions should be strengthened to form a low carbon development model among regions.

Study on Characteristics and Reduction Countermeasures of the Agricultural Carbon Emission in China

Based on seven carbon sources including chemical fertilizer, pesticide, agricultural film, nitrogen fertilization, agricultural machinery, irri- gation and straw burning, the carbon emissions in agricultural production of China during 1995-2011 was calculated. The results showed that both total agricultural carbon emission and per capita agricultural carbon emission overall presented growth trends, and the growth rate began to slow in recent years. The agricultural carbon emission intensity decreased year by year. Straw burning was the primary carbon source in China＇s agricul- ture, followed by chemical fertilizer. Total agricultural carbon emission in China in 17 years experienced three stages of ＂fluctuated growth -slow drop-new growth＂. Finally, suggestions and countermeasures of the low-carbon agriculture development in China from three aspects were proposed.

Impact of Renewable Energy on Carbon Dioxide Emission Reduction in Bangladesh

Economic growth and industrialization often default to a great dependency on fossil fuels (FF) to supply power needs. The carbon rich nature of FF combustion can impact global warming. Therefore, it is conducive to transition from FF to renewable energy (RE). The present study aimed to address if replacement of a single FF by RE can mitigate carbon emissions. We conduct the study in a country undergoing mass urbanization and challenging energy demands. Data from energy resources in the Power & Energy Sector Master Plan (PSMP2016;Bangladesh) are analyzed over the 2017-2021 trajectory. Two scenarios for imports, oil and coal are assessed. Environmental input output (E-IO) analysis and percentage equivalence analysis measured data variables. The data is then further disaggregated into an emission reduction (ER) model with sensitivity analysis to measure carbon emission reduction when each FF source is substituted by RE. Results show the percentage share of energy generation capacity by both coal and RE increase over time. Solar and wind power contribute to the increase in RE. When oil is imported a 1% increase in oil, coal, and gas-based energy generation capacity increases carbon emissions by 1.25%, 1.48% and 0.93%, respectively. 1% increase in RE produces negligible carbon emissions (0.0042%). There was little difference in the percentages of carbon emissions when coal is imported. Substituting any FF with RE of equal energy capacity does not, in the short term, reduce carbon emissions in either scenario. Therefore, we conclude that for long term clean energy prospects in Bangladesh, RE needs to be developed to operate at greater capacity in conjunction with other carbon management factors. The research findings herein offer insights for clean energy implementation in developing nations.

Pricing and decision of carbon emission reduction for closed-loop supply chain considering carbon trading mechanism

To determine the optimal pricing and carbon emission reduction decision, a closed-loop supply chain with a manufacturer and a retailer is investigated. In this system, the manufacturer manufactures new products and remanufactures used products while the retailer is responsible for selling new products and remanufactured products. The profit functions of the manufacturer and the retailer are developed, and the corresponding solution formulae for decision variables are given by the Stackelberg game model. Finally, a numerical example is given, and the optimal wholesale price, retail price, carbon emission reduction and others are obtained. Through the sensitivity of the unit carbon allowance price, some significant managerial insights are derived.

Decomposition analysis of carbon reduction measures and carbon emission changes in five areas in China

Based on the analysis of primary energy consumption structure in five main provinces or municipalities in China,the factors that affect carbon emissions in the five study areas are analyzed quantitatively and comparatively with the decomposition analysis method.Empirical results demonstrate that the decomposition models of carbon emissions can be defined as ＂municipality model＂ and ＂provincial model＂,and the population factor of ＂municipal model＂ plays a significant role in carbon emissions than that of ＂provincial model＂.Either positive or negative effects of energy structure can be found in five different areas.However,there is a general trend that energy structure effort is becoming more and more important.Based on the characteristics and trends of carbon emissions in different areas,the carbon reduction measures are proposed as well.

Research on Carbon Reduction Strategy of China’s Industrial Chain with the Goal of Carbon Emission Peak and Carbon Neutrality

In order to achieve the development goals of emission peak in 2030 and carbon neutrality in 2060,carbon reduction measures should be implemented in the whole industrial chain.Based on the existing research,the basic logic of carbon reduction in the industrial chain is analyzed,and then the specific strategies for carbon reduction in the industrial chain are proposed,including:reducing the use of fossil energy and vigorously developing the new energy industry;reducing carbon through energy conservation,industrial upgrading,development of circular economy,and application of carbon capture technology;reducing carbon through low-carbon transformation of logistics industry,innovation of trading methods,and promotion of low-carbon green consumption.The external guarantee system for carbon reduction includes the introduction of relevant policies,laws and regulations,and the use of carbon emission trading mechanism.

Research on the Impact of New and Renewable Energy Replacing Fossil Energy Resource under Constraint of Carbon Emissions

For studying new and renewable energy as a substitute for fossil energy in primary energy consumption and its impact on carbon emissions to cope with economic uncertainties, a multi-sector DSGE model was employed to simulate the dynamic impact on carbon emissions and macroeconomic development. The structural adjustment of energy consumption and the carbon emissions mitigation policy were considered in the model. The simulation results showed that using new and renewable energy instead of fossil energy is an optimal choice for the firms to comply with the regulations of carbon emission mitigation policy. Structural adjustment of energy consumption is the best route to achieve the dual goal of economic development and carbon emission reduction. Unexpected sharp fall in free carbon quota has a negative impact on the economy.

Exploration of Market Mechanism on Controlling Air Pollution and Carbon Emissions in China

Based on increasingly grim situation of carbon emissions in China,air pollution control and carbon emission reduction are very important. Therefore,combining with China’s specific national conditions,we should explore the market mechanisms to control air pollution and reduce carbon emissions in China. The achievement of the carbon emission reduction purpose needs to establish the carbon trade market based on intensity emission reduction and suitable for China’s national conditions. By setting the cross-industry,cross-region and cross-time carbon trade scenarios in China,this paper tries to study the market mechanism of carbon intensity trade among industries and regions and based on carbon finance mechanism.

Technical and Economic Index System for CO_2 Emission Reduction in China's Power Industry

The main technic and economic indices for carbon dioxide emission reduction of Chinese electric power industry are designed systematically in this paper.According to quantitative calculation and influential factor analysis on the carbon dioxide emission reduction of the industry from 1978 to 2009,the author estimates and calculates the relevant indices during the 12 th Five-Year Plan period and in 2020.Finally the author analyzes the relationship and difference between the conventional technical and economic indices for electric power planning and the new index system for the low carbon economy development.

Tracking Transfer of Carbon Dioxide Emissions to Countries along the Silk Roads Through Global Value Chains

The Belt and Road Initiative(BRI)has aroused rich discussions about the possible increase in carbon dioxide emission under the arduous global carbon dioxide emission reduction task.Adopting the methods of input-output technique and complex network ana-lysis,we first construct a fairer method to trace carbon dioxide emission transfer based on global value chains,then trace the source of carbon dioxide emission transfer to the Silk Roads countries with a long-term multiple regional input-output database.We find that,first,after the proposal of the BRI,the total direct carbon dioxide emissions of the Silk Roads countries and China’s proportion of carbon dioxide emission transfer to the other Silk Roads countries have both declined.Second,the Silk Roads countries are generally the net receivers of carbon dioxide emission transfer,and the inflow is mainly distributed in Southeast Asian countries and core countries in other sub-regions.Then,the transfer of carbon dioxide emission accepted by the Silk Roads countries comes mostly from large developing countries,such as China,Russia,and India,and developed countries,such as the United States,Japan,and Germany.The products are mainly concentrated in energy and chemical industries,as well as heavy industries,such as mining and quarrying,and metal products.We suggest that,due to the high degree of spatial and industrial concentrations of carbon dioxide emission transfer,it is necessary to make targeted policies for these countries and industries to reduce these transfers.

Waste sorting and its effects on carbon emission reduction:Evidence from China

Considering the importance of waste sorting and treatment in the development of an ecological civilization,empirically evaluating the environmental impact of such programs is particularly important.This study uses Xiao'er Township in Gong County,Sichuan Province,China as a case study to analyze and estimate the carbon emission reduction effects of the township's pilot waste sorting program.Using the five-point sampling method,samples of waste are collected,reviewed,and measured for their major components and other key indicators.Additionally,questionnaire surveys and interviews are conducted in the township,along with investigations into existing records and other relevant information.The study adopts the solid waste management-greenhouse gas(SWM-GHG)calculator to study the township data.The case study results imply that proper waste sorting and treatment methods in villages and townships could play a major role in the reduction of carbon emission.Specifically,after implementing waste sorting in Xiao'er,annual carbon emissions were reduced by 2081 tons—equivalent to the electricity consumption of a family of three people for 1718 years,or the amount of CO_(2)emitted by 2641.6L vehicles driving once around the Earth.In the optimal scenario simulation,increasing the recycling of wet waste and recyclable waste further,the level of carbon emission reduction in Xiao'er could reach up to 4482 tons per year.According to the international general carbon trade price,this is equivalent to adding 44,820 US dollars to the GDP,or to an annual saving of 5.71 million kWh.If these waste management methods are expanded to villages and townships across China,then the carbon emissions reduced in a year would be equal to the CO_(2)emitted from electricity generation in Beijing for over a year.Based on these findings,this paper provides three policy recommendations for effective carbon emission reduction:increasing residents'environmental protection awareness over the long term,boosting funding support and enhancing the construction of supporting facilities,and strengthening governance and institutional capacity for waste sorting and treatment.

Target Gap of Emission Reduction for China:Analysis based on Elastic Decoupling

The present paper analyzes historically the relationship between carbon emission and economic development by different stages through adopting elastic decoupling methods and Tapio evaluation criteria along with a comparison with the national Five Year Plans. The analysis shows that the influencing factors to the relationship between carbon emission and economy in China are different, and economic development and carbon emission have less connection in the recent 30 years of reform and opening-up in China. It is a difficult task to realize the promise that we will reduce carbon emission by 40%-50% in 2020 based on the data from historical experience and different expectations for economic development from economists. Through constructing the calcula- tion model of carbon emission intensity gap according to different development scenarios, the analysis shows that economic growth, infrastructure investment and further development of industrial-ization are the main drivers to the increase of carbon emission, technological progress, and particularly, the reduction of energy consumption is the primary means to reduce carbon emission in China. It is imperative to transform the economic growth pattern, and it is a grand task to perform and there is a long way to go for China to maintain economic growth and reduce carbon intensity.

Central environmental protection inspection and carbon emission reduction: A tripartite evolutionary game model from the perspective of carbon neutrality

Since the carbon neutrality target was proposed,many countries have been facing severe challenges to carbon emission reduction sustainably.This study is conducted using a tripartite evolutionary game model to explore the impact of the central environmental protection inspection(CEPI)on driving carbon emission reduction,and to study what factors influence the strategic choices of each party and how they interact with each other.The research results suggest that local governments and manufacturing enterprises would choose strategies that are beneficial to carbon reduction when CEPI increases.When the initial willingness of all parties increases 20%,50%—80%,the time spent for the whole system to achieve stability decreases from 100%,60%—30%.The evolutionary result of“thorough inspection,regulation implementation,low-carbon management”is the best strategy for the tripartite evolutionary game.Moreover,the smaller the cost and the larger the benefit,the greater the likelihood of the three-party game stability strategy appears.This study has important guiding significance for other developing countries to promote carbon emission reduction by environmental policy.