Synergistic dance of digital economy and green finance on carbon emissions:Insights from China

China has recently implemented a dual-carbon strategy to combat climate change and other environmental issues and is committed to modernizing it sustainably.This paper supports these goals and explores how the digital economy and green finance intersect and impact carbon emissions.Using panel data from 30 Chinese provinces over the period 2011-2021,this paper finds that the digital economy and green finance can together reduce carbon emissions,and conducts several robustness tests supporting this conclusion.A heterogeneity analysis shows that these synergistic effects are more important in regions with low levels of social consumption Meanwhile,in the spatial dimension,the synergistic effect of the local digital economy and green finance adversely impacts the level of carbon emissions in surrounding areas.The findings of this paper provide insights for policymakers in guiding capital flow and implementing carbon-reduction policies while fostering the growth of China’s digital economy and environmental sustainability.

Digital economy,industrial structure,and carbon emissions:An empirical study based on a provincial panel data set from China

This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emission.The research results show that the development of digital economy can effectively promote the reduction of carbon emissions.The development of the digital economy has a significant role in promoting the rationalization of the industrial structure.The digital economy not only directly suppresses carbon emissions,but also indirectly has a significant inhibitory effect on carbon emissions by promoting the rationalization and improvement of the industrial structure.The development of the digital economy suppresses the optimization of the industrial structure.The improvement of industrialization has hindered the industrialization process.It is necessary to strengthen research and development into digital technology and enhance the capacity of the digital economy to promote carbon emissions reduction.

Does the digital economy contribute to carbon emissions reduction?A city-level spatial analysis in China

The rapid development of the digital economy provides an unprecedented opportunity for China to achieve carbon neutrality by 2060.While previous studies have explored the relationship between the digital economy,digital technologies,and energy,the impact of the digital economy on carbon emissions has not received sufficient attention in the literature.Meanwhile,although cities are the basic units for carbon emission reduction policies,few studies have explored carbon emissions at the city level in China.This study investigates the spatial correlation and spillover effects of the digital economy development on carbon emission reduction in 248 prefecture-level cities in China from 2011 to 2019.The proposed approach relies on Moran’s I test and the spatial Durbin model(SDM).First,the study’s results show that carbon emissions are more severe in industry-intensive cities in northeast and central China than in the eastern coast during the sample period.Second,the development of the digital economy is conducive to reducing carbon emissions.Third,Moran’s I and SDM tests find that the digital economy has a significant spatial effect on carbon emissions,with a close spatial connection between cities.Based on the above findings,this study offers relevant policy recommendations and suggestions for realizing China's carbon neutrality goal.

CO2 emission driving forces and corresponding mitigation strategies under low-carbon economy mode:evidence from China's Beijing-Tianjin-Hebei region

On account of the background of China's "new normal" characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing-Tianjin-Hebei region and empirically investigates the relationship between carbon dioxide(CO_2) emissions and its various factors for China's Beijing-Tianjin-Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO_2emissions. However, technological progress, especially the domestic independent research and development, plays a key role in C0_2 emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby,our findings provide important implications for policymakers in air pollution control and C0_2 emissions reduction for this region.

Angle Scattering Method for Soot Concentration Measurement under Ultra-Low Emissions Condition

Aiming at the problem of soot concentration measurement under ultra-low emission conditions,a forward small angle soot concentration measurement method is proposed.Taking a typical boiler emission of 0.1μm-3.0μm bimodal distribution soot as an object,the particle scatter simulation calculation under different parameters is carried out,and the influence of detection angle and particle size on the angular scatteringmeasurement of ultra-low emission soot is analyzed.The influence of detection angle and particle size on the angular scatteringmeasurement of ultra-lowemission soot is analyzed.Preferably,thewavelength of incident light is 650 nm,and the forward detection angle parameter is 15◦for the design of forward small angle soot concentration measurement system.An experimental system for measuring soot with standard concentration is built.Experiments of particle concentration measurement of 1.0μm and 3.0μm under ultra-low emission conditions are carried out.The results show that the average deviation of soot concentration measurement is less than 0.10 mg/m3 under the condition of ultra-low emission by using 15◦of forward detection,which provides an effective way for monitoring ultra-low emission soot concentration in coal-fired power plants.

Prediction of Potential Carbon Dioxide Emissions of Selected Emerging Economies Using Artificial Neural Network

Tackling future global emissions of carbon dioxide is a daunting task. Different black box models have been used to determine the trajectories of CO2 emissions and other carbon stocks. Trajectories are important because climate modelers use them to project future climate under higher atmospheric CO2 concentrations. In this paper, fully connected two-layer feed-forward neural network with tangent activation function that comes with hidden neurons as well as linear output neurons was used. The study applied classical nonlinear least squares algorithm such as LM (Levenberg-Marquardt), to predict potential emissions of selected emerging economies. Building the model on the basis of input variables such as crop production, livestock production, trade imports, trade exports, economic growth, renewable and nonrenewable energy consumption. These variables are considered to affect the ecosystems of high rising economic power states. The main idea is to ensure that emerging economies have a clear understanding of expected future emissions so that appropriate measures can be implemented to mitigate its impact. Data for the analysis were obtained from 1971 to 2013 from World Development Indicators and FAOSTAT database. Results indicate an achievement of training performance at epoch 11 when the value of the MSE (Mean Square Error) is 0.0003345 which indicates that the model errors are less than 0.05. Hence, the study concluded that the applied model is capable of predicting potential carbon dioxide emissions in emerging economies with the greatest precision.

Re-understanding and Thinking about Environmental Impact of Coal-fired Power Plants under Ultra-low Emission

From the perspective of development background,concepts and related policies of ultra-low emission,according to work practice,some issues and difficulties that need to be paid attention to in the environmental impact assessment of ultra-low-emission thermal power projects were discussed from the aspects of evaluation criteria,evaluation grade and scope,pollution control technical lines,environmental benefit accounting,and total emission control,and corresponding recommendations were put forward.

The Future of Quasi Emission Control Enterprises in a Low-Carbon Economy

At 9:30 a.m.on July 16,2021,the national carbon emission trading market started operation at Shanghai Environment and Energy Exchange.On the first day,the carbon emission quota totaled 4.244 million tons,with a turnover of 210 million yuan and an average transaction price of 51.23 yuan/ton.The carbon trading price is on the rise.With the gradual maturity and improvement of conditions,there will be about 8,000 to 10,000 emission control enterprises under the eight major industries in the future,and China’s carbon market will become the largest market covering greenhouse gas emissions worldwide.It can be seen that carbon trading is a“big deal.”If enterprises participate well,they will form carbon assets,but if they do not participate well,they will form carbon liabilities.This paper analyzes the opportunities and challenges faced by quasi emission control enterprises under the background of low-carbon economy.This provides certain reference significance for these enterprises to actively participate in the national carbon trading market in the future.

Distribution and bioavailability of mercury in size-fractioned atmospheric particles around an ultra-low emission power plant in Southwest China

Ultra-low emission(ULE)technology retrofits significantly impact the particulate-bound mercury(Hg)emissions from coal-fired power plants(CFPPs);however,the distribution and bioavailability of Hg in size-fractioned particulate matter(PM)around the ULE-retrofitted CF-PPs are less understood.Here,total Hg and its chemical speciation in TSP(total suspended particles),PM_(10)(aerodynamic particle diameter≤10μm)and PM_(2.5)(aerodynamic particle diameter≤2.5μm)around a ULE-retrofitted CFPP in Guizhou Province were quantified.Atmospheric PM_(2.5)concentration was higher around this ULE-retrofitted CFPP than that in the intra-regional urban cities,and it had higher mass Hg concentration than other sizefractioned PM.Total Hg concentrations in PM had multifarious sources including CFPP,vehicle exhaust and biomass combustion,while they were significantly higher in autumn and winter than those in other seasons(P<0.05).Regardless of particulate size,atmospheric PM-bound Hg had lower residual fractions(<21%)while higher HCl-soluble fractions(>40%).Mass concentrations of exchangeable,HCl-soluble,elemental,and residual Hg in PM_(2.5)were higher than those in other size-fractioned PM,and were markedly elevated in autumn and winter(P<0.05).In PM_(2.5),HCl-soluble Hg presented a significantly positive relationship with elemental Hg(P<0.05),while residual Hg showed the significantly positive relationships with HCl-soluble Hg and elemental Hg(P<0.01).Overall,these results suggested that atmospheric PM-bound Hg around the ULE-retrofitted CFPP tends to accumulate in finer PM,and has higher bioavailable fractions,while has potential transformation between chemical speciation.

Decomposition of factors influencing carbon emissions in the region of Beijing-Tianjin-Hebei,based on the perspective of terminal energy consumption

In order to analyze the factors influencing carbon emissions in the region of Beijing-Tianjin-Hebei and to explore the pathways to developing a low-carbon economy,this paper begins with the terminal energy consumption of three industries and residential consumption,and constructs an identical equation which is composed of population size,level of economic development,energy intensity,the proportion of energy consumption,energy structure,and the coefficient of carbon emissions.Based on the data of terminal energy consumption during 2000-2012,various factors are analyzed and their contribution is measured by Logarithmic Mean Divisia Index(LMDI).The results show that the levels of population and economy have a positive driving effect while energy intensity,energy structure,and carbon intensity have a negative driving effect;the proportion of energy consumption had a negative driving effect prior to 2006,then changed to positive.Among suggestions for a low-carbon economy are controlling population size,improving the quality of economic development,supporting research into new energy technology,accelerating regional integration and optimizing industrial structure,and enhancing environmental protection and spreading the concept of a low-carbon economy.

An Empirical Study on the Environmental Kuznets Curve for China's Carbon Emissions:Based on Provincial Panel Data

Based on the Environmental Kuznets Curve theory, the authors choose provincial panel data of China in 1990-2007 and adopt panel trait root and co-integration testing method to study whether there is Environmental Kuznets Curve for China＇s carbon emissions. The research results show that： carbon emissions per capita of the eastern region and the central region of China fit into Environmental Kuznets Curve, but that of the western region does not. On this basis, the authors carry out scenario analysis on the occurrence time of the inflection point of carbon emissions per capita of different regions, and describe a specific time path.

Experimental Research on SOx from Ship Emissions by Lye Absorption

To protect environment, and to comply with the IMO＇s （International Maritime Organization） newest regulations about ship＇s SOx emission. This thesis illustrates a closed recycling absorb system based on NaOH solution recycling particularly for SOx onboard. The goal is to use NaOH solution to absorb SOx, and reduce the damage the ships made towards environment. The thesis analyzes the main features that could influence the absorption of SOx on board, and the precipitations during the experiment. To reveal that NaOH solution is very highly effective and economic in absorption of SOx on ships by this experiment, and to set a theoretical basic fundamental for future application of alkali solution recycling absorption system for SOx.

A Global Emissions Trading Scheme?Fantasy and Reality

Many have argued that the international community shouM establish a global emissions trading scheme （ETS） to reduce emissions and streamline efforts to mitigate climate change. This paper argues against establishing such global ETS for the following reasons： （1） a global ETS may assist developed countries in cutting emissions abatement cost, but it may also result in deterioration in the welfare of developing countries; （2） each nation participating in providing global public goods shall be dedicated to forming ＂Lindahl equilibrium＂ under the principle of common but differentiated responsibility, rather than the ＂Walrasian equilibrium ＂, which is represented in a global ETS,＂ （3） the establishment of a global ETS has its driving forces as it is seen as a preferred regulatory form for industrial special interest groups in developed economies, since its benefits is biased rather than promoting global economic and environmental efficiency; and （4） the developing countries shouM be more cautious when designing tools of climate policies and need to avoid to be locked in emission trading systems.

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.

数字经济发展如何影响城市碳排放?——来自中国283个地级市的经验数据

为探讨数字经济对城市碳排放的影响,基于2011—2020年中国283个地级以上城市的面板数据,构建综合评价指标体系测算数字经济指数,核算各城市碳排放量,采用SBM模型测算城市碳排放效率,并以产业结构高级化和合理化指数来刻画城市的产业结构升级,在此基础上进行计量分析。结果发现:数字经济发展能够提升碳排放效率,二者呈现出“U”型关系,数字经济发展能够降低碳排放强度和减少碳排放量,均呈现出倒“U”型关系;数字经济能够通过技术创新或产业结构升级影响碳排放,且技术创新和产业结构升级在数字经济与碳排放之间存在链式中介效应;数字经济、技术创新和产业结构升级对城市碳排放存在门槛效应,数字经济和技术创新在门槛值前后对碳排放效率的影响均呈现“先抑后扬”,对碳排放量的影响为“先扬后抑”,对碳排放强度跨越门槛后有显著的抑制作用,产业结构高级化和合理化指数跨越门槛值后能够提高碳排放效率、减少碳排放量,但对碳排放强度不产生影响。最后,基于实证结论提出了相应的政策建议。

新伊高速毗邻隧道遮阳棚光环境及降碳分析

为减少由光照强度差异引发的交通事故,以新伊高速公路工程为依托,在宋家凹—水沟河毗邻隧道连接段设置钢筋混凝土与钢结构组合形式的遮阳棚,计算限行速度下遮阳棚的长度,运用DIALux仿真软件对不同时间点下的2种工况进行研究,并采用碳排放因子法分析不同工况下的碳排放量。结果表明:该毗邻隧道连接段遮阳棚长度为100 m。设置遮阳棚后,路面照度降低率达到57.97%,照度总均匀度大于0.4,现场实测值与模拟值误差在10%范围内,均满足相关标准的要求。此外,设置遮阳棚后,每年减少碳排放量82.56 t CO_(2)e,运营2.8 a后可弥补建造时产生的碳排放,建设成本将在3.7 a后收回。在使用寿命期内,可减少碳排放量3 795.74 t CO_(2)e,节约成本577.31万元,实现了减排和节约成本的双重效果。

数字经济发展协同推进增长降碳的动态效应研究

构建居民、厂商(包含数字经济厂商)、政府3部门DSGE模型,重点研究数字基础设施、数字产业化、产业数字化等随机冲击协同推进增长降碳的动态效应及其传导机制。研究发现:数字基础设施、数字产业化、产业数字化3类数字经济随机技术冲击能够有效促进经济增长并减缓碳排放总量和碳排放强度;数字经济投资冲击能够显著减缓碳排放总量和碳排放强度,对数字经济产出和经济增长也有正向促进作用;数字经济对新型基础设施投资推动效应越强,所引致的环境经济效果越佳;数字经济结构调整能够显著推进数字经济产出和碳减排。整体来看,数字经济随机技术冲击、数字经济投资冲击、数字经济结构调整等不同政策呈现出增长降碳协同效应。

数字经济与新型城镇化:作用机制和门槛效应

随着新一代信息技术蓬勃发展,数字经济无疑是实现新型城镇化的必然选择。本文基于2013~2022年30个省(区、市)的面板数据,通过构造数字经济发展水平指数与新型城镇化水平指数研究数字经济对新型城镇化的影响,并引入技术创新和碳减排分析数字经济驱动新型城镇化的作用机制。研究发现,数字经济对我国新型城镇化的建设具有明显的推动作用,在新型城镇化水平低的省(区、市)与中部地区提升效果更明显;机制分析表明,技术创新和碳减排是数字经济促进新型城镇化的重要传导机制;通过进一步的门槛检验发现,数字经济对新型城镇化的推动作用因产业结构的不断升级呈现出先正后负的特征。研究结论可为加速释放数字经济红利,推动新型城镇化发展提供经验证据和政策启示。

数字经济发展必然减少行业碳排放吗?——来自物流业的新证据

推进数字化和绿色化的深度融合发展是当今世界的重要议题。本文提出,数字经济对具体行业碳排放的影响既存在由碳效率提升带来的“低熵”效应,又存在由总需求扩张带来的“增耗”效应。数字经济对具体行业碳排放的影响总体由两类效应共同决定,并可能对行业碳排放产生正向影响。以物流业为例,本文以DEA等综合评价方法系统测算了区域数字经济发展水平,采用基于工具变量的GMM面板数据模型进行了实证分析,并创新性引入引力模型形式,设计了带有固定项和时变项外生变量的数字经济工具变量,提供了基于模型形式和变量外生性合力构建工具变量的新思路。同时,本文对数字经济影响物流业碳排放的机制进行了验证。结果表明,样本期内数字经济发展水平与物流业碳排放之间存在显著的正相关关系,现阶段数字经济对物流业的增耗效应更强,且在进行替换核心变量、采用异质性分析、数字经济维度分解、城市级样本数据扩展的稳健性检验之后,该结论仍然成立。此外,本文从行业要素配置效率和能源效率两个渠道验证了低熵效应机制的显著性,从货运周转量、城镇消费物流需求两个渠道验证了增耗效应机制的显著性。本文提出,不同行业碳减排需要根据自身低熵效应和增耗效应特点实施差异化的策略。