The research of market structures for remanufactured products

The rapid development of technology has made it easier to distribute products directly, and many enterprises excel at executing a multi-channel strategy to distribute products. The introduction of direct channel adds a new competition dimension to the enterprises. This paper considers three market channel structures: R-Channel, D-Channel and H-Channel. In R-Channel, both new products and remanufactured products are sold through a retailer. In D-Channel, new products are sold through retailers and remanufactured products are sold directly to consumers. In H-Channel, new products are sold through retailers, while remanufactured products through dual channel. Using the game theory, we obtain and analyse the equilibrium prices, market demands and the profits gain under these three settings. At the same time, the influence of consumers’ willingness to pay on the environment performance is researched. Our results show that the manufacturer prefers H-Channel. By introducing the direct channel the manufacturer is always economically better off, but it is not for the retailer. The numerical simulation also confirms the theoretical analysis and shows that H-Channel has advantages of economic benefit and environmental performance. It is feasible for practical application.     

市场转型对中国环境治理结构的影响——国家污染物减排指标的分配机制研究

国家统计局数据显示,2006年我国节能减排任务均远未实现国家十一五规划开局之年的目标,特别是主要污染物排放总量不降反升.本文在分析了中国环境治理体系和国家十一五规划主要污染物减排指标分配机制的基础上,研究了市场转型对中国环境治理结构的影响.中国的市场转型可以抽象为以分权让利、市场化和工业化为主要特征的结构演进过程.文中提出,中国市场转型过程对环境治理结构造成了重大影响,而环境治理的各项措施反过来也应与市场转型相适应.当前中国主要污染物减排指标没有实现达标的重要原因是国家污染物减排指标的分配机制无法适应我国市场转型的要求.为此,本文提出一系列国家主要污染物减排指标分配机制的政策建议.     

Using fuzzy set theory to address the uncertainty of susceptibility to drought

This paper presents the technical aspects of a new methodology for assessing the susceptibility of society to drought. The methodology consists of a combination of inference modelling and fuzzy logic applications. Four steps are followed: (1) model input variables are selected—these variables reflect the main factors influencing susceptibility in a social group, population or region, (2) fuzzification—the uncertainties of the input variables are made explicit by representing them as ‘fuzzy membership functions’, (3) inference modelling—the input variables are used to construct a model made up of linguistic rules, and (4) defuzzification—results from the model in linguistic form are translated into numerical form, also through the use of fuzzy membership functions. The disadvantages and advantages of this methodology became apparent when it was applied to the assessment of susceptibility from three disciplinary perspectives: Disadvantages include the difficulty in validating results and the subjectivity involved with specifying fuzzy membership functions and the rules of the inference model. Advantages of the methodology are its transparency, because all model assumptions have to be made explicit in the form of inference rules; its flexibility, in that informal and expert knowledge can be incorporated through ‘fuzzy membership functions’ and through the rules in the inference model; and its versatility, since numerical data can be converted to linguistic statements and vice versa through the procedures of ‘fuzzification’ and ‘defuzzification’.     

瀑河水库蓄水后水质变化预测

瀑河水库拟作为南水北调中线的一个调蓄水库。在瀑河水库淹没区内布10个采样点，分别采集0－20、20－40、40－60cm深度的土壤，实验室中模拟水库蓄水淹没情景，连续监测“库水”水质，试验表明：蓄水初期土壤中营养物质溶出对库水水质有一定影响，且随着时间的推移，各营养物质溶出的速度及浓度变化不同，蓄水16天后浓度趋于平稳，库水水质达到地表水环境质量Ⅱ类标准，将模拟值作为初始值，利用WQRRS模型进行运行期水质预测，得到结论为：（1）当调水水质为Ⅰ和Ⅱ类标准值的中值、流域汛期径流水质为Ⅱ－Ⅴ类时，预测库水水质为Ⅱ－Ⅲ类；（2）当调水水质为Ⅱ类标准值的下限值、流域汛期径流水质为Ⅱ－Ⅴ类时，预测库水水质大多为Ⅲ类，部分情况下为Ⅳ类，且N、P超标；（3）当调水水质为Ⅰ和Ⅱ类标准值的中值、流域径流水质为Ⅱ类时，在2010、2020和2030水平年水库水质全部为Ⅱ类；当调水水质为Ⅱ类标准值的下限值时库水水质则为Ⅲ类。     

Profile of Methane Concentrations in Soil and Atmosphere in Alpine Steppe Ecosystem on Tibetan Plateau

The methane concentration profile from -1.5m depth in soil to 32m height in air was measured in alpine steppe located in the permafrost area. Methane concentrations showed widely variations both in air and in soil during the study period. The mean concentrations in atmosphere were all higher than those in soil, and the highest methane concentration was found in air at the height of 16m with the lowest concentration occurring at the depth of 1.5m in soil. The variations of atmospheric methane concentrations did not show any clear pattern both temporally and spatially, although they exhibited a more steadystable state than those in soil. During the seasonal variations, the methane concentrations at different depths in soil were significantly correlated （R^2〉0.6） with each other comparing to the weak correlations （R^2〈0.2） between the atmospheric concentra- tions at different heights. Mean methane concentrations in soil significantly decreased with depth. This was the compositive influence of the decreasing production rates and the increasing methane oxidation rates, which was caused by the descent soil moisture with depth. Although the methane concentrations at all depths varied widely during the growing season, they showed very distinct temporal variations in the non-growing season. It was indicated from the literatures that methane oxidation rates were positively correlated with soil temperature. The higher methane concentrations in soil during the winter were determined by the lower methane oxidation rates with decreasing soil temperatures, whereas methane production rates had no reaction to the lower temperature. Relations between methane contribution and other environmental factors were not discussed in this paper for lacking of data, which impulse us to carry out further and more detailed studies in this unique area.     

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.     

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.     

基于ARIMA和BP神经网络组合模型的我国碳排放强度预测

预测我国碳排放强度的长期变动趋势, 对国家进行宏观经济管理和节能减排工作具有重要的参考价值。运用深入分析自回归移动平均模型和神经网络的特性,并在此基础上建立ARIMA模型和BP神经网络组合模型,将碳排放强度的时间序列的数据结构分解为线性和非线性残差部分,对我国碳排放强度的变化趋势进行了综合分析与预测。结果显示:今后10 a我国碳排放强度总体是逐步下降的,但到2020年我国碳排放强度仅比2005年下降34%,比我国政府提出碳排放强度下降40%~45%的目标还有一定的差距。因此,要在2020年实现我国碳排放强度目标,必须要调整宏观经济政策,采取各种政策措施以实现目标     

基于景观尺度的流域土地覆被变化及其水文响应

水资源短缺已成为限制华北地区社会经济发展的主要因子之一,其中山区来水减少问题已成为该区域水资源研究亟待解决的关键问题。采用景观格局分析法及统计学方法对华北土石山区典型流域--红门川流域土地/覆被变化及其水文动态响应进行分析。结果表明：(1)1990～2005年流域景观呈破碎化趋势,其中,优势景观林地在研究时段内面积变化不大;耕地、建设用地面积增加趋势显著,增幅分别为431%和444%;水域减少趋势最为明显,减幅达208%。(2)土地利用/覆被变化对流域径流有显著调节作用：随着土地结构不断优化,森林、耕地面积的增加,1998～2005年流域平均年径流系数较1990～1998年下降77%;丰、平和枯水年径流系数则分别减少64%、31%和85%;当剔除降水因素后,土地利用景观结构优化使得月径流系数减少16%～100%。(3)土地利用/覆被变化对流域径流的调节作用呈现季节性,植物生长季径流调节尤为显著     

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.