Industrial Carbon Emission Distribution and Regional Joint Emission Reduction:A Case Study of Cities in the Pearl River Basin,China

China’s low-carbon development path will make significant contributions to achieving global sustainable development goals.Due to the diverse natural and economic conditions across different regions in China,there exists an imbalance in the distribution of car-bon emissions.Therefore,regional cooperation serves as an effective means to attain low-carbon development.This study examined the pattern of carbon emissions and proposed a potential joint emission reduction strategy by utilizing the industrial carbon emission intens-ity(ICEI)as a crucial factor.We utilized social network analysis and Local Indicators of Spatial Association(LISA)space-time trans-ition matrix to investigate the spatiotemporal connections and discrepancies of ICEI in the cities of the Pearl River Basin(PRB),China from 2010 to 2020.The primary drivers of the ICEI were determined through geographical detectors and multi-scale geographically weighted regression.The results were as follows:1)the overall ICEI in the Pearl River Basin is showing a downward trend,and there is a significant spatial imbalance.2)There are numerous network connections between cities regarding the ICEI,but the network structure is relatively fragile and unstable.3)Economically developed cities such as Guangzhou,Foshan,and Dongguan are in the center of the network while playing an intermediary role.4)Energy consumption,industrialization,per capita GDP,urbanization,science and techno-logy,and productivity are found to be the most influential variables in the spatial differentiation of ICEI,and their combination in-creased the explanatory power of the geographic variation of ICEI.Finally,through the analysis of differences and connections in urban carbon emissions under different economic levels and ICEI,the study suggests joint carbon reduction strategies,which are centered on carbon transfer,financial support,and technological assistance among cities.

Empirical research on construction of a measurement framework for tourism carbon emission in China

According to the logic process of carbon reduction in China which arises from the measurement to reduction,from reduction to offsetting,the measurement of carbon emission in the tourism industry was the first and key step.Based on the life cycle assessment theory and input-output analysis,this article used economic and environmental measurement technologies,The System of National Accounting(SNA),Tourism Satellite Account(TSA),System of Integrated Environment and Economic Accounting(SEEA),and so on,and built up a top-down carbon emission analysis framework for the tourism industry and estimated carbon emission of the tourism industry in China in 2007.The finding showed that the total carbon emission of the tourism industry in China in 2007 was 169.78 million tons,covering 2.71%of carbon emission of all industries in China in 2007,and 2.44%of the total carbon emission in China in 2007.The direct carbon emission of the tourism industry in China in 2007 was 73.56 million tons,including transportation(50.14 million tons),sightseeing(1.33 million tons),lodging(4.19 million tons),accommodation(4.73 million tons),shopping(8.14 million tons),entertainment(0.67 million tons),communication(0.45 million tons),and others(3.90 million tons).The indirect carbon emission of the tourism industry in China in 2007 was 96.23 million tons,mostly contributed by coking,gas,and petroleum processing industries,transportation and warehousing industry,machinery and equipment manufacturing industry,and food manufacturing and tobacco processing industry,which covered 57%.

The Impact of Industrial Agglomeration on Carbon Emission Intensity:Evidence from China

The paper measures the total carbon emissions and carbon emission intensity of different Chinese provinces between 2000 and 2012,then analyses the spatial features and dynamic evolution of carbon emission intensity through exploratory spatial data analysis,to explore its clustering characteristics of spatial and temporal distribution and dynamic evolution.The effect of industrial agglomeration on the carbon emission intensity in China is estimated by using spatial econometric model.According to the research,three new findings are revealed as follows:firstly,inter-provincial carbon emission intensity in middle-west and northeast areas is much higher than southeast areas in China.Secondly,the spatial domain dependence and difference of China's inter-provincial carbon intensity exist simultaneously.Thirdly,the elastic coefficient of carbon intensity for industrial agglomeration change is between-0.228%and-0.37%.On the basis of these conclusions,the paper will put forward several policy recommendations according to empirical study.

Effect of China's industrial structure adjustment on carbon emissions

Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effective way to attract more attention. In the paper, we made a research on the correlation between china's three main industries and carbon emission intensity to find out the main factors which affect the intensity of carbon emission in China by measuring the gross emission in china's 28 main provinces in 2003-2013 and using Grey correlation analysis based on the change tendency. The results indicate that the second industry has the largest correlation with carbon emission intensity; the tertiary industry helps reduce the intensity of carbon emission, but it is not very obvious; the first industry has the least impact on carbon emission intensity. In the last part, according to the characteristics of industrial structure and carbon emission, we put forward the suggestions and strategies on the adjustment of china's industrial structure in future with the results analysis.

Industrial Carbon Emissions Status and Analysis Based on Energy Consumption

With frequent disastrous weathers and increasingly prominent GHG effects in recent years, normal existence and development of mankind are facing unprecedented threats and challenges. GHG emissions mitigation for the global climate changes has been the focus of concern of the world. As the biggest developing country and the second largest country of carbon-emission, China attaches importance to the carbon emission reduction. The major GHG component is carbon dioxide and in China, the emis- sion of carbon dioxide is mainly from industrial production. In the paper, the status and trend of Coz emission from industrial departments, high-carbon emission and its specific industries are shown in statistics. Meanwhile, the policy environment, industrial organization structure and technology of carbon high emission are all discussed based on practical situations in these departments and industries. At the end, through the analysis of gray correlation, correlativity is explored for both fossil energy consumption and total carbon emission, and also for the production value and carbon emission of each industrial sector. Some policy proposals for the establishment of low-carbon industries and transition of economic development pattern are set forth.

Research on Regional Differences and Influencing Factors of China's Carbon Emissions

This paper studies the regional differences,dynamic evolution and influencing factors of regional carbon emission intensity(CEI)in 262 cities and 5 regional urban agglomerations(UAs)in China.The Dagum Gini coefficient is used to analyze the intra-regional and inter-regional differences in carbon emissions,and the temporal evolution of the absolute differences of CEI among regions is analyzed by means of kernel density estimation(KDE).The paper provides an in-depth study on the spatial difference and temporal evolution of CEI in Chinese cities and major strategic regions.Through Moran index and LISA’s test,the spatial correlation of carbon emission in prefecture-level cities is tested,and its spatial agglomeration characteristics are described.It is found that China’s CEI is decreasing year by year,presenting a spatial pattern of“low in the south but high in the north”.Based on the calculation of carbon emission intensity at the urban level,this paper conducts LDMI factor decomposition research on carbon emission intensity at the national and key regions,and analyzes the impact of the impact factors on carbon emission intensity.The research results provide a path for China’s green development at the city level and urban agglomeration level,and a theoretical support for different regions and cities to introduce emission and carbon reduction policies.

试点碳排放权交易市场对中国工业低碳转型的作用机制研究

本文通过构建理论模型,探讨试点碳排放权交易市场影响中国工业低碳转型的作用机制,并从七个试点省份出发,选取2006—2021年的省级面板数据,运用多期双重差分法对试点碳排放权交易市场政策的环境经济效应进行分析。研究结果显示,试点碳排放权交易市场能够有效降低碳排放强度和提升工业低碳全要素生产率,从而促进中国工业的低碳转型。机制检验结果表明,试点碳排放权交易市场主要通过成本约束和结构升级途径促进工业低碳转型,而技术进步途径的作用尚未实质性显现。异质性分析结果表明,在经济发展水平和研发水平更高的地区,碳排放权交易政策对碳排放强度的降低和生产率的提升效果更加明显;而在外商投资水平更高的地区,碳排放权交易政策对低碳全要素生产率的提升效果更加明显。

城市数字普惠金融发展对碳排放强度影响研究

数字普惠金融作为一种新兴金融形态,为实现“双碳”目标发挥了重要作用。文章以2011—2021年中国279个城市面板数据为研究样本,运用基准回归模型、面板门槛模型以及空间杜宾模型,分析了城市数字普惠金融发展对碳排放强度的影响。研究发现:数字普惠金融发展能够显著降低碳排放强度,在经过一系列稳健性检验后该结论仍然成立;数字普惠金融发展对碳排放强度的影响存在空间溢出效应和异质性;数字普惠金融会因自身发展水平、产业结构发展水平和绿色金融发展水平的不同对碳排放强度产生非线性影响。

多尺度视角下中国旅游业碳排放强度时空动态研究

从多尺度视角把握中国旅游碳排放强度的时空动态变化,对中国旅游产业响应“双碳”目标具有重要意义。以中国全域、区域、省域为研究对象,综合运用“自下而上”法、泰尔指数法和ESDA分析法,测度旅游碳排放及强度,并剖析旅游碳排放强度的时空关系。结果表明:(1)2000—2019年,我国旅游碳排放量由3714.06万吨增加至19396.00万吨,东部地区增量最大;旅游碳排放强度由0.47吨/万元降至0.09吨/万元,中部地区降幅最大。高碳排放类型的北京、上海、广东、海南和宁夏的旅游经济与环境保护关系亟须改善。(2)中国旅游碳排放强度在空间上有显著差异,以区域内部差异为主,但同时表现出较强的相关性;2000—2013年,全局空间上表现为西部地区HH集聚和多数省份的LL集聚,2014年起局部空间集聚,以从东部地区向中部、西部地区扩散性LL聚集为特点。

基于科技创新门槛效应的产业结构升级与碳排放强度研究

为了实现碳减排目标和碳中和愿景,以中国30个省份(除港澳台、西藏)2012—2019年数据为基础,实证分析产业结构升级对碳排放强度的影响。以科技创新为门槛变量,运用Hansen面板门槛回归方法,研究产业结构升级对碳排放强度的非线性影响。结果表明:产业结构升级对碳排放有显著的抑制作用;从全国整体分析以及对南方和北方分别研究结果看,产业结构升级都会对碳排放强度起到抑制作用,相比较而言,北方地区产业结构升级对碳排放的影响系数小于南方地区;在科技创新的作用下,产业结构升级对碳排放强度既存在促进作用也存在抑制作用,只有当科技创新水平高于某一特定门槛值时,产业结构升级才会对碳排放强度表现为抑制作用。

中国省际绿色金融对旅游业碳排放强度的影响——基于产业结构的调节效应

在“碳达峰、碳中和”的时代背景下,绿色金融成为助力旅游业实现低碳发展的重要动力。基于2001—2019年中国省际面板数据,运用熵值法和“自下而上”法测度中国省际绿色金融指数和旅游业碳排放强度;在此基础上,构建固定效应模型探究绿色金融对旅游业碳排放强度的影响,并剖析产业结构优化升级在这一过程中发挥的调节效应。研究表明:①在时序上,中国旅游业碳排放强度总体呈下降趋势,绿色金融水平总体呈增长趋势;在空间上,旅游业碳排放强度呈现出由东向西递增的分异特征,绿色金融水平呈现出显著的“东部>东北部>中部>西部”的空间分布格局。②绿色金融、绿色技术水平可以显著降低旅游业碳排放强度。③产业结构优化升级能够增强绿色金融对旅游业碳排放强度的抑制作用,并对绿色金融与旅游业碳排放强度之间关系的调节作用存在区域异质性。

数字普惠金融如何促进城市碳减排——理论与实证分析

碳达峰、碳中和事关中华民族伟大复兴和人类可持续发展,数字普惠金融是实现“双碳”目标的重要着力点.将数字普惠金融变量引入内生增长模型,并结合Kaya恒等式和STIRPAT模型进行理论分析,同时运用我国251个城市的数据进行实证分析,考察数字普惠金融对城市碳排放的影响及作用机制.研究发现,数字普惠金融能够促进城市碳减排,该结论在一系列稳健性检验下均成立.分维度看,数字普惠金融的碳减排效应主要通过提高数字金融覆盖广度、使用深度以及数字化程度实现.机制分析表明,数字普惠金融对城市碳减排的促进作用通过技术创新和产业结构优化实现.异质性分析表明,数字普惠金融在中心城市、创新型城市和智慧城市对碳减排具有更强的促进作用.进一步研究发现,数字普惠金融能够与传统金融协同发挥对城市碳减排的促进作用.

我国产业结构升级对碳排放强度影响的空间溢出效应研究

能源是促进经济增长不可或缺的基本要素,但大量碳排放严重破坏生态环境。产业结构升级是推动绿色低碳发展的重要驱动力,研究产业结构升级对碳排放强度的影响具有重要意义。本文利用2007—2021年国内30个省份的面板数据,构建空间计量模型,实证研究产业结构升级对碳排放强度影响的空间溢出效应。研究发现:(1)产业结构优化不仅为当地碳排放强度的下降发挥积极作用,而且其空间溢出效应可以带动邻近地区碳排放强度的降低,但是该效应具有地区异质性。(2)产业结构升级通过技术进步影响碳排放强度。本文的研究丰富了产业结构升级和碳排放强度领域的研究。

数字经济对工业碳排放强度的影响及溢出效应

数字经济在新时代产业转型与环境治理过程中扮演着重要角色.为了解数字经济发展如何帮助工业产业减排,以制定更精准的减排策略,本文基于2005−2019年我国30个省份的面板数据(不包括西藏自治区和港澳台地区数据),利用调节效应模型和动态空间杜宾模型探究数字经济发展对工业碳排放强度影响的异质性及其溢出性.结果表明:①2005−2019年我国30个省份的数字经济指数一直在快速增长,而工业碳排放强度则在逐渐降低;各省份之间差异较大,“高度数字化的省份”和“数字化不足的省份”之间的差异越来越明显,中西部省份的工业碳排放强度一直高于东部地区.②与非资源型省份和东部地区相比,资源型省份以及中西部地区的数字经济发展对工业碳排放强度的影响并不显著.数字经济发展可以通过各种正外部性显著降低工业碳排放强度,而这种影响也会通过作用于产业结构和城镇化而得到强化.③在不同空间权重矩阵下,数字经济发展对工业碳排放强度影响的直接效应、间接效应和总效应均显著,说明数字经济不仅降低了本地工业碳排放强度,这种影响也存在明显的空间外溢效应.与显著降低本省份工业碳排放强度不同,数字经济发展对周边省份却有促进作用;地理经济距离嵌套是影响数字经济对工业碳排放强度溢出的最主要因素.据此,国家要继续推动数字技术创新发展,加强区域间低碳数字技术交流和产业融合,充分发挥数字经济通过技术渗透、产业结构优化、城镇化等方式对工业碳排放强度的降低作用;政府在出台减碳政策与制定区域规划时需明确各自的重点方向,为数字经济发挥低碳的正外部性提供保障,以助推区域高质量发展.

双向FDI协调发展对中国工业碳排放强度的影响研究

随着中国“引进来”和“走出去”战略的实施,双向FDI协调发展促进中国工业经济持续增长的同时,也要注重行业低碳发展。文中利用34个中国工业行业2008—2020年数据,对双向FDI进行耦合协调发展测度,并选取技术创新和收入水平作为中介变量,知识产权保护水平作为门槛变量来探究双向FDI协调发展对中国工业碳排放强度的影响及其作用机制。结果表明:双向FDI协调发展对中国工业碳排放强度的影响显著为负;技术创新和收入水平在双向FDI协调发展对中国工业碳排放强度影响中均存在显著的负向部分中介效应;知识产权保护水平在双向FDI协调发展对中国工业碳排放强度影响中存在双门槛效应,且作用方向为负。因此,要积极发挥双向FDI协调发展的技术溢出和逆向技术溢出效应,提高技术创新水平,且合理改善收入水平,增强双向FDI协调发展对中国工业碳排放强度的抑制作用;利用好知识产权保护水平在其中的调节作用,完善和加强知识产权保护制度和力度,有效推动中国工业结构升级。

计及碳流的工业企业能源系统运行策略分析

为实现对工业企业能源系统中碳流轨迹的精确追踪,并制定有效的降碳运行策略,本文采用考虑网损的极坐标下的牛顿一拉夫逊迭代法,建立潮流稳态模型,用于分析系统中各节点和支路的有功潮流状态,以及网络损耗对系统性能的影响。此外,通过回归分析法对历史能耗数据进行建模,确定了燃煤发电机组的碳排放强度向量。进一步,建立了一个系统碳流分析模型,利用碳流与系统潮流的依赖关系,分析了各支路、负荷以及网损的碳流率,以及各个节点的碳势。为了实证所提方法的有效性,采用IEEE14节点系统为某工业企业构建了一个5机14节点的需求响应模型。通过仿真分析,研究了企业各用能环节的碳排放强度,实现了碳流的精确追踪。最后,为了优化工业企业能源系统的运行策略,采取了安装碳捕集装置和实施就地无功补偿两种措施,并通过模拟实验验证了这些措施降低系统碳排放的有效性。

坚持发展生态低碳农业:内涵、挑战与战略构想

发展生态低碳农业,是中国式农业现代化的重要特征,是建设中国特色农业强国的有效路径。为推进农业发展全面绿色转型,加快建成中国特色农业强国,本文在明晰生态低碳农业内涵特征的基础上,提出发展生态低碳农业的愿景,分析当前中国发展生态低碳农业的现实基础和困难挑战,并据此提出战略构想。研究发现,中国发展生态低碳农业已经具备一定的现实基础,但仍然存在多重目标相互掣肘、减排固碳空间有限、技术储备不足、生态产品价值难以实现等问题。新阶段新征程上发展生态低碳农业的具体思路是充分运用农耕经验与现代科技,同步推进绿色科技创新与推广应用,统筹结合有为政府和有效市场;重点任务是健全以绿色生态为导向的农业补贴制度,构建支撑生态低碳农业发展的技术体系,建立健全生态产品价值实现机制。

广东省旅游业低碳发展的组态驱动机制研究

在“双碳”目标下,城市旅游业亟待实现低碳发展。文章以广东省21个地级市为研究对象,在科学测算其旅游业碳排放量以及准确分析其旅游业碳排放量的时空演变特征的基础之上,基于多重因果关系并发的逻辑视角,利用模糊集定性比较方法,深入分析城市旅游业低碳发展的组态驱动机制,旨在为促进城市旅游业绿色低碳发展提供理论参考。研究发现,从2011—2022年,广东省21个地级市的旅游业碳排放总量不断增加,主要以旅游交通碳排放为主;在时空演化上,呈现显著的空间集聚效应,空间差异逐年扩大;组态分析发现,单一维度的资源投入是实现广东省城市旅游业低碳发展的重中之重,多维度的资源整合和协同发展也是促进城市旅游业低碳发展的有效途径。

产业结构升级会降低碳排放强度吗?——基于绿色税收视角的考察

在“双碳”目标下,研究产业结构升级与碳减排有利于实现绿色低碳可持续发展。本文建立理论分析框架,基于2006-2020年全国省级面板数据,分析并实证检验绿色税收视角下产业结构升级对碳排放强度的影响。研究发现:省际碳排放强度具有显著的空间自相关性,邻近区域之间存在互相影响的可能;产业结构升级通过直接效应与经济效应、技术效应的间接效应抑制碳排放强度;本地区产业结构合理化对降低碳排放强度存在地区内溢出效应和空间溢出效应,若不考虑空间溢出效应,会高估产业结构合理化对碳排放强度的影响;产业结构升级对碳排放强度的影响在绿色税收的调节下存在时空异质性;绿色税收强度存在单一门槛特征,门槛值为0.3998%,当超过门槛值,绿色税收强度显著抑制产业结构升级的碳减排效应;绿色税收强度处于门槛值内的省份数量,在2018年突增,2018年排污费改征环境保护税显著增强了产业结构升级的碳减排效应。

中国旅游业碳排放时空特征及影响因素分解

综合运用碳排放系数估算法与旅游剥离系数法,估算2011-2021年中国省级旅游交通、旅游住宿、旅游餐饮零售邮电业与旅游活动的碳排放量,并运用对数平均迪式指数(LMDI)分解模型解析旅游碳排放影响因素。结果表明:旅游业碳排放总体呈下降趋势,空间分布上呈现东南多、西北少的特征;旅游交通碳排放与旅游活动碳排放是旅游碳排放主要来源;旅游消费水平与游客规模是旅游碳排放产生的主要因素;旅游能源结构与旅游能源强度对旅游碳排放起抑制作用。