Methanogenic activity of woody debris

The paper is devoted to the phenomenon of methanogenic activity of woody debris, i.e., methane production in the course of wood decomposition by fungi, which are not directly involved in methane synthesis but form an initial link in the trophic chain leading to methanogenic archaea. Expert evaluation of probable amounts of methane emission is made. The results show that woody debris is an important global source of this greenhouse gas.     

Technological Progress, Structural Change and China＇s Energy Efficiency

China has witnessed rapid economic development since 1978, and during the time, energy production and consumption developed at a tremendous speed as well. Energy efficiency which can be measured by energy consumption per unit of GDP, however, experienced continuous decrease. Theoretically, the change of energy efficiency can be attributed to industry structural change and technological change. In order to explain the transformation of Chinese energy efficiency, we adopt logarithmic mean Divisia index techniques to decompose changes in energy intensity in the period of 1994-2005. We find that technological change is the dominant contributor in the decline of energy intensity, but the contribution has declined since 2001. The change in industry structure has decreased the energy intensity before 1998, but raised the intensity after 1998. Decomposed technological effects for all sectors indicate that technological progresses in high energy consuming industries such as raw chemical materials and chemical products, smelting and pressing of ferrous metals, manufacture of non-metallic mineral products and household contribute are the principal drivers of China＇s declining energy intensity.     

CO_2 Emission Induced by Urban Household Consumption in China

Household consumption is one of the important factors that induce COL emission. Based on input-output model, this article calculated the intensity of CO2 emission of different income groups and seven provinces in China, and then estimated total CO2 emission induced by urban household consumption from 1995 to 2004 in China based on statistic data of household living expenditure. The results show that CO2 emission per capita induced by household consumption had increased from 1583 to 2498 kg CO2 during 1995-2004. The ratio of consumption-induced CO2 emission to total CO2 emission had risen from 19% to 30% in the past decade. Indirect CO2 emission accounted for an important part of the consumption-induced emission, the ratio of indirect emission to consumption-induced emission had risen from 69% to 79% during the same period. A significant difference in consumption-induced CO2 emission across different income groups and different regions has been observed. COs emission per capita of higher income groups and developed regions increased faster than that of lower income groups and developing regions. Changing lifestyle has driven significant increase in CO2 emission. Especially, increases in private transport expenditure （for example, vehicle expenditure） and house building expenditure are key driving factors of growth in consumption-induced COL emission. There are big differences in the amount of CO2 emission induced by change in lifestyle across different income groups and provinces. It can be expected that lower income households and developing regions will increase consumption to improve their livings with income growth in the future, which may induce much more CO2 emission. A reasonable level of CO2 emission is necessary to satisfy human needs and to improve living standard, but a noticeable fact is that CO2 emission per capita induced by household consumption in developed areas of China had reached a quite high level. Adjustment in lifestyle towards a low-carbon society is in urgent need.     

人口与消费对碳排放影响的分析模型与实证

从消费压力人口视角探讨碳排放问题,有利于正确判断和把握气候变化压力的人文因素,以及人口与消费可持续发展的动力学机制.本文通过对STIRPAT模型的扩展,应用岭回归方法计量分析人口、消费及技术因素对碳排放的影响.对我国1980至2007年碳排放情况的统计实证结果表明,扩展的STIRPAT模型对中国国情有较高的解释力.居民消费水平、人口城市化率、人口规模三个因素对我国碳排放总量的变化影响明显;现阶段我国居民消费水平与人口结构变化对碳排放的影响力已高于人口规模变化的影响力,居民消费水平与消费模式等人文因素的变化有可能成为我国碳排放的新的增长点;技术进步因素在此模型中对我国该阶段碳排放的解释力有限,表明我国未来通过技术进步减缓碳排放的潜力巨大.     

上海市能源利用碳排放足迹研究

能源利用是人类生存的基础和前提,对其碳足迹及生态压力进行研究具有重要意义.本文运用碳排放足迹的相关含义及研究方法,计算得出1995-2006年上海市能源利用的总碳足迹、各能源类型和产业类型的碳足迹、碳足迹的产值和生态压力值.并以此为基础,利用岭回归函数进行STIRPAT模型拟合,进一步研究经济发展与碳排放足迹之间的关系,最后提出适应性的管理策略.研究结果表明:①总碳足迹从1995年的1.05 hm~2/人上升到2006年的1.36 hm~2/人,呈现波动上升的趋势;②1995-2006年各能源利用的碳足迹及其分配率均以煤炭最大,石油次之,天然气最小,且煤炭利用的碳足迹分配率逐年下降,石油与天然气与之相反;③2001-2006年第一、二产业的碳足迹变化不明显,而第三产业与产业总碳足迹呈明显上升趋势;④能源利用的碳足迹产值从1995年的1.79万元/hm~2增加至2006年的3.79万元/hm~2,碳足迹的生态压力也从1995年的129.6上升至2006年的231.8;⑤能源利用碳足迹与经济增长关系的模型拟合研究结果中没有出现环境库兹涅茨曲线,进一步证实能源利用对环境所造成的压力增大.     

中国企业社会责任财务绩效评价模型研究

2003年,英国政府出台了<我们能源的未来-创建低碳经济>能源白皮书,其中首次引入了"低碳经济"的概念,随后越来越多的学者开始探讨这种经济发展模式及其技术和政策的可行性,并展开了一系列实证研究.而在这种新的经济发展趋势下,作为经济主体的企业所要承担的社会责任也就被赋予了新的内窖.那么在向低碳经济转型的过程中,如何对企业的社会责任进行客观、有效的评价将对于企业更好履行其社会责任起到重要作用.基于我国国情,本文通过对低碳经济发展模式下中国企业社会责任财务绩效进行模型研究,提出了在传统指标分析模型基础上进行数据包络分析(DEA)和可持续计量的双重模型修正,以期弥补传统财务绩效模型在企业有效投入分析和动态性评价方面的缺陷和不足.     

Evolutionof Sustainable Carbon Cycling Processes in China

This report summarizes the surveys on carbon inventories and initiatives on sustainable carbon cycling taken by RCEES. The first part of this report deals with the concept of sustainable carbon cycling, the historical evolution of carbon cycling processes in China, carbon pool enhancement, value addition, carbon sequestration and carbon balance. The second part covers the modeling of carbon dynamics, emission inventories of various carbon containing greenhouse gases and their potential abatement measures.     

期权理论在排污权初始分配中的应用

排污权交易是当前总量控制目标下最具潜力的环境政策,它兼有环境质量保障和成本效率优化的特点.在对国内外排污权交易和初始分配充分考察的基础上,提出了在排污权初次分配中引入期权机制的尝试,并对这种方法的理论基础作了分析和讨论.     

长江三角洲水田保护性耕作制度的碳收集效应估算

耕作制度对农田土壤有机碳的稳定和积累作用显著,探讨耕作制度演变下农田土壤碳库动态,将有助于农田土壤碳收集的技术选择及政策制定。利用已发表的田间定位试验数据,构建不同耕作制度下长江三角洲水田耕层土壤有机碳密度的估算模型。依据该区近20多年来耕作制度演变动态,对保护性耕作制度的土壤碳收集效应进行了初步估算。结果表明,油菜面积的扩大、小麦的少免耕和作物秸秆的还田分别约增加土壤耕层有机碳0.94 Tg、2.76 Tg和3.95 Tg,其中以麦稻复种转向油稻复种的单位面积碳收集效应为最高。最后,就碳收集效应估算的方法进行了相关讨论,并就土壤碳收集研究和如何提高土壤碳收集潜力提出了一些建议。     

中国碳排放的因素分解模型及实证分析:1995-2004

能源消费是碳排放的主要来源。随着中国经济的快速发展,能源消费的急剧增长以及以煤为主的能源结构在短期内很难改变,因此,碳排放不可避免地会出现一定幅度的增加。本文基于碳排放量的基本等式,采用对数平均权重Divisia分解法（Logarithmic mean weight Divisia method,LMD）,建立中国人均碳排放的因素分解模型,定量分析了1995-2004年间,能源结构、能源效率和经济发展等因素的变化对中国人均碳排放的影响,结果显示经济发展对拉动中国人均碳排放的贡献率呈指数增长,而能源效率和能源结构对抑制中国人均碳排放的贡献率都呈倒“U”。这说明能源效率对抑制中国碳排放的作用在减弱,以煤为主的能源结构未发生根本性变化,能源效率和能源结构的抑制作用难以抵销由经济发展拉动的中国碳排放量增长。