企业内部碳交易市场探析

随着气候变化问题的加剧,企业逐渐认识到将气候变化问题上升到企业战略高度的重要性.在企业的生产运营过程中有效减少温室气体排放量,关系到企业的可持续发展.但目前企业自主减排的动力不足,这不仅需要外部激励,更需要企业具有内生性动力.而只有依靠企业运行机制的修整和改良才能在根本上激励企业减排的自发性.企业内部碳交易市场的构建就能起到这个作用——它将市场机制引入企业,基于“总量管制和排放交易”理念,建立企业内部碳交易市场,在企业内部各部门之间进行温室气体排放权的重新分配和交易.它具体包括三个互为联系的子市场,即碳信用市场、碳项目市场和现碳交易市场,各子市场的良好运作也需要三重保障,即减排基金的合理构建、产权的明晰和监督机制的完善.通过构建内部碳交易市场,实现温室气体排放权在企业内部的市场化运作,提高温室气体排放权的利用效率,从而减少企业的温室气体排放量,降低企业的生产运营成本,保障企业抓住气候变化带来的战略机遇,规避风险,实现可持续发展.     

基于空间计量经济学的碳排放与经济增长分析

本文采用空间计量经济学的方法对我国各省份的经济增长与碳排放之间的关系进行了实证分析,结果表明:我国各省份的碳排放在空间分布上表现出一定的空间正自相关性,碳排放量最高的省份多处于经济发达的沿海地区,如以北京为中心的环渤海地区,以上海为中心的长三角地区和以广东为核心的珠三角地区,而次之的是经济较为发达的地区,如中部的山西、湖北、湖南、江西、安徽和西南地区;我国各省份的碳排放在空间分布上存在一定的空间集群效应,如环渤海地区就表现出高碳排放的空间集群效应,而西部地区的西藏、新疆、甘肃、青海却表现出低碳排放的空间集群效应.经济增长与碳排放呈现出正相关关系,高碳排放的地区多处于经济发达的沿海地区,而低碳排放的地区多处于经济落后的内陆地区;我国目前的经济增长对碳排放的依赖性较强,经济增长对碳排放的弹性系数约为0.8左右,说明在未来的短时间内很难实行低碳经济的发展模式.     

中国人口结构对碳排放量影响研究

从人口结构角度探讨碳排放问题,有利于正确判断和把握影响碳排放量的人口因素,有的放矢地制定碳减排政策,应对我国经济发展方式的转变有着重要的理论和现实意义.本文利用我国1995-2007年碳排放量、人口总数、人口的城市化率、老龄化率和反映人口消费结构的恩格尔系数第二产业从业人口比重等时间序列数据,运用协整理论、格兰杰因果检验和多元回归模型作为分析工具,对我国人口结构与碳排放量之间的关系做了实证分析.结果发现:①1995-2007年间,人口结构中的人口城市化率、人口的消费结构、第二产业从业人口比重对碳排放量均存在正向影响,而人口规模对碳排放量的影响在模型中却表现为负效应;②相对于人口规模,人口的结构特征对碳排放量的影响越来越大,其中人口的城市化率对碳排放量的正向影响最大,说明中国的碳排放量与城市化的进程存在着密切关系;③人口的老龄化对二氧化碳排放量具有负效应,人口老龄化的加快对长期碳排放有抑制作用,所以在未来实现碳减排会逐渐成为可能.最后,针对分析结果,探讨了未来我国的碳减排策略,以期能有效地控制人口因素对我国碳排放增长的影响.     

中国碳捕集、利用与封存技术研发与示范

碳捕集、利用与封存(CCUS)是一项新兴的、具有大规模减排潜力的技术,有望实现化石能源使用的CO2近零排放,被认为是进行温室气体深度减排最重要的技术路径之一.开展CCUS技术的研发和储备,将为中国未来温室气体减排提供一种重要的战略性技术选择,受到政府、企业和学术界的广泛关注.本文从CCUS技术产生和发展的背景出发,概括了该技术的特点及存在的主要同题,总结了当前中国CCUS技术政策,介绍了中国CCUS技术研发、试点示范、国际合作等的开展情况,并通过与欧美等发达国家CCUS技术发展与示范活动现状的对比,初步分析了中国CCUS技术发展方面存在的主要不足.为进一步推动我国CCUS技术的研发与示范,文章提出应加强国家层面的技术政策指导和宏观协调、引导资源有效配置;推动建设行业间的CCUS技术合作平台;重视CCUS来来技术应用软环境建设等有针对性的建议.     

CGE Simulation for Levying Carbon Tax in China and International Experience of Levying Carbon Tax

Levying carbon tax is conducive to reducing carbon dioxide emissions and protecting the environment.The author firstly reviewed some relevant empirical studies on carbon tax both home and abroad,and then established the CGE model and simulated levying carbon tax in China.The study found that levying carbon tax would have little impact on China’s economy:in a short-term,China’s GDP might decrease by 0.51%,while in a long-term it might decrease by 0.08%;however,the carbon dioxide emissions would be substantially reduced.Meanwhile,levying carbon tax has some negative impact on the output of each industry in the very economic structure;of this,the mineral extractive industries would be influenced the most.Then the author summarized experience of levying carbon tax in foreign countries.     

The Factor Decomposition on Carbon Emission of China——Based on LMDI Decomposition Technology

Carbon emission is the current hot issue of global concern. How to assess various contributing factors for carbon emission is of great importance to find out the key factors and promote carbon emission reduction. In this paper, the author constructs an identical equation for carbon emission, based on the economic aggregate, the economic structure, the efficiency of energy utilization, the structure of energy consumption, and the coefficient of carbon emission; by applying to LMDI decomposition technology, the author analyzes the carbon emission of China from 1995 to 2007 at industrial level and regional level. The results show that the expansion of economic aggregate is the main reason for China’ s rapidly increasing carbon emission and the increase of energy utilization efficiency is the key factor that can hold back the increase of carbon emission. In addition, the change of industrial structure or regional structure and the change of traditional energy structure have limited influence on the carbon emission, and their potentials have not yet been exploited. At the end of this paper, the author proposes the efforts that China should make to reduce carbon emission.     

Inside-sediment partitioning of PAH, PCB and organochlorine compounds and inferences on sampling and normalization methods

Comparability of sediment analyses for semivolatile organic substances is still low. Neither screening of the sediments nor organic-carbon based normalization is sufficient to obtain comparable results. We are showing the interdependency of grain-size effects with inside-sediment organic-matter distribution for PAH, PCB and organochlorine compounds. Surface sediment samples collected by Van-Veen grab were sieved and analyzed for 16 PAH, 6 PCB and 18 organochlorine pesticides (OCP) as well as organic-matter content. Since bulk concentrations are influenced by grain-size effects themselves, we used a novel normalization method based on the sum of concentrations in the separate grain-size fractions of the sediments. By calculating relative normalized concentrations, it was possible to clearly show underlying mechanisms throughout a heterogeneous set of samples. Furthermore, we were able to show that, for comparability, screening at <125 μm is best suited and can be further improved by additional organic-carbon normalization.     

Combustion-derived substances in deep basins of Puget Sound: historical inputs from fossil fuel and biomass combustion

Reconstructions of 250 years historical inputs of two distinct types of black carbon (soot/graphitic black carbon (GBC) and char-BC) were conducted on sediment cores from two basins of the Puget Sound, WA. Signatures of polycyclic aromatic hydrocarbons (PAHs) were also used to support the historical reconstructions of BC to this system. Down-core maxima in GBC and combustion-derived PAHs occurred in the 1940s in the cores from the Puget Sound Main Basin, whereas in Hood Canal such peak was observed in the 1970s, showing basin-specific differences in inputs of combustion byproducts. This system showed relatively higher inputs from softwood combustion than the northeastern U.S. The historical variations in char-BC concentrations were consistent with shifts in climate indices, suggesting an influence of climate oscillations on wildfire events. Environmental loading of combustion byproducts thus appears as a complex function of urbanization, fuel usage, combustion technology, environmental policies, and climate conditions.     

Spectral estimation of global levels of atmospheric pollutants

Underlying levels of atmospheric pollutants, assumed to be governed by smoothing mechanisms due to atmospheric dispersion, can be estimated from global emissions source databases on greenhouse gases and ozone-depleting compounds. However, spatial data may be contaminated with noise or even missing or zero-valued at many locations. Therefore, a problem that arises is how to extract the underlying smooth levels. This paper sets out a structural spatial model that assumes data evolve across a global grid constrained by second-order smoothing restrictions. The frequency-domain approach is particularly suitable for global datasets, reduces the computational burden associated with two-dimensional models and avoids cumbersome zero-inflated skewed distributions. Confidence intervals of the underlying levels are also obtained. An application to the estimation of global levels of atmospheric pollutants from anthropogenic emissions illustrates the technique which may also be useful in the analysis of other environmental datasets of similar characteristics.     

给水曝气生物滤池内置粉末活性炭复合净水效果的研究

在给水曝气生物滤池内置粉末活性炭,对比分析其对各工艺单元水质净化效果的影响,确定给水曝气生物滤池内置粉末活性炭的作用与最佳投加量,研究表明,给水曝气生物滤池将活性炭截留在滤池内,大幅度提高了粉末活性炭利用率,部分未饱和粉末活性炭通过反冲洗排入后续常规处理系统,作为生物载体仍能够进一步发挥生物强化作用。当粉末活性炭的投加量为8 mg/L时,砂滤出水氨氮、CODMn、浊度和色度均值分别为：0.02 mg/L,1.82 mg/L0,.46 NTU和6度,去除率分别达到99.6%、71.2%、99.1%和80.6%,出水指标达到《生活饮用水卫生标准（》GB5749-2006）和《饮用净水水质标准（》CJ94-2005）规定的标准。与常规工艺相比,投加量降低了20%～60%。