上海生活垃圾减量化机制问题研究

开展生活垃圾减量化机制研究,使更多的垃圾作为"二次资源"进入新的产品生产循环,从而减少最终排放到环境中的垃圾数量,确保上海的可持续发展。     

上海生态文明建设的激励和约束机制研究

生态文明建设是一项系统工程,需要通过整体推进,构筑规划、建设、管理、技术、产业、社会和合作协同发展的综合体系。未来上海应以建立和完善市场机制为核心,以法律机制为前提,以政府监管机制为保障,以能力建设机制为基础,以社会参与机制为监督,按照"引逼结合、多方合力、突出重点、先行先试"的原则,加快上海生态文明建设机制创新。主要途径有:完善碳排放交易试点,建立长效市场机制;推进分布式能源应用,提高清洁能源比重;加快新能源汽车推广,优化交通能源结构;培育发展再制造产业,推广先进制造理念。     

气候变化背景下中国低碳制造发展研究

制造业是我国经济发展的重要支柱,也是实现低碳减排的主要战场。建立低碳制造评价指标体系,结合主成分分析法和层次分析法,可对我国制造业的低碳发展进行定量的研究评价,并从制造业低碳经济、低碳技术和低碳环境三方面分析对碳排放的影响。我国的低碳制造水平整体呈上升趋势,未来,我国的制造业既要保持高速发展,同时也要向低碳经济转型,发展低碳技术,调整能源结构。     

Exercising Property Rights to Pollute: Do Cancer Risks and Politics Affect Plant Emission Reductions?

This paper examines whether firms' decisions about reductions in toxic emissions depend on the magnitude of dangers arising from their pollution and on who bears pollutant risks. Controlling for the quantity of air toxics released in 1988, this article finds that plants whose emissions generated higher numbers of expected cancer cases did reduce their emissions more between 1988 and 1991. The nature of the community bearing the pollution risk also affected firm decisions. The higher the voter turnout in the area, a proxy for residents' likelihood of collective action, the greater the reductions in a plant's release of air carcinogens.     

胡塞尔生活世界的两种含义——兼谈欧洲科学与人的危机及其克服

胡塞尔所说的“生活世界”有两种含义:一是作为经验实在的客观生活世界,一是作为纯粹先验现象的主观生活世界,二者之间隔着一道先验还原的界限。不同意义上的“生活世界”与科学及人的生存的关系也不同:在胡塞尔看来,前者是近代科学产生的基础,也是造成科学“危机”与人的“危机”的根源;后者则有可能为我们提供一条克服这种危机的途径。     

考虑排放许可与交易的生产优化

本文旨在研究排放许可与交易机制对排放依赖性企业生产策略的影响。生产商可通过三种渠道获得排放许可:政府配额、市场交易和净化处理,并在不同渠道间取得平衡。本文分析了净化处理成本的特点,分别对确定净化水平与可控净化水平情况展开讨论,建立企业生产优化模型,得到了有排放限额下的最优生产策略。通过分析模型,得到了优先选择净化处理的充分必要条件,即"存在净化空间";此外还证实了最优策略的唯一存在性。最后通过数值分析说明了本文模型的应用,并采用灵敏度分析对参数影响加以分析。     

Modeling the demand reduction input-output (I-O) inoperability due to terrorism of interconnected infrastructures.

Interdependency analysis in the context of this article is a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). Invoking the principles of input-output (I-O) and decomposition analysis, the article offers a framework for describing how terrorism-induced perturbations can propagate due to interconnectedness. Data published by the Bureau of Economic Analysis Division of the U.S. Department of Commerce is utilized to present applications to serve as test beds for the proposed framework. Specifically, a case study estimating the economic impact of airline demand perturbations to national-level U.S. sectors is made possible using I-O matrices. A ranking of the affected sectors according to their vulnerability to perturbations originating from a primary sector (e.g., air transportation) can serve as important input to risk management. For example, limited resources can be prioritized for the "top-n" sectors that are perceived to suffer the greatest economic losses due to terrorism. In addition, regional decomposition via location quotients enables the analysis of local-level terrorism events. The Regional I-O Multiplier System II (RIMS II) Division of the U.S. Department of Commerce is the agency responsible for releasing the regional multipliers for various geographical resolutions (economic areas, states, and counties). A regional-level case study demonstrates a process of estimating the economic impact of transportation-related scenarios on industry sectors within Economic Area 010 (the New York metropolitan region and vicinities).     

Robust Priors in Nonlinear Panel Data Models

Many approaches to estimation of panel models are based on an average or integrated likelihood that assigns weights to different values of the individual effects. Fixed effects, random effects, and Bayesian approaches all fall into this category. We provide a characterization of the class of weights (or priors) that produce estimators that are first‐order unbiased. We show that such bias‐reducing weights will depend on the data in general unless an orthogonal reparameterization or an essentially equivalent condition is available. Two intuitively appealing weighting schemes are discussed. We argue that asymptotically valid confidence intervals can be read from the posterior distribution of the common parameters when N and T grow at the same rate. Next, we show that random effects estimators are not bias reducing in general and we discuss important exceptions. Moreover, the bias depends on the Kullback–Leibler distance between the population distribution of the effects and its best approximation in the random effects family. Finally, we show that, in general, standard random effects estimation of marginal effects is inconsistent for large T, whereas the posterior mean of the marginal effect is large‐T consistent, and we provide conditions for bias reduction. Some examples and Monte Carlo experiments illustrate the results.     

基于双边减排成本信息不对称的排污权二级交易市场拍卖机制研究

本文构建了一个基于双边减排成本信息不对称的排污权二级交易市场拍卖模型,分析了统一价格、歧视价格及混合拍卖机制下卖方收益、排污权价格波动及排污权供给量差异,在此基础上给出了排污权二级交易市场最优拍卖机制,并进一步讨论了相关参数对最优拍卖机制的影响。结果表明：从收益最大化角度来看,最优的拍卖机制为歧视价格拍卖机制,但考虑到价格波动及排污权供给量等其他因素,排污权二级市场交易应选用混合拍卖机制。风险偏好变化对混合拍卖机制下卖方收益及价格波动的影响存在不确定性,当风险偏好超过某一阈值时,随着风险偏好程度增大,需求隐蔽效应占主导,收益及价格波动增大;相反,当风险偏好小于某一阈值时,随着风险偏好程度增大,竞争效应占主导,收益及价格波动减小。价格变动的供给影响系数对卖方收益的影响随买方参与人数的不同而不同。当买方参与人数较小时,需求隐蔽效应占主导,竞争效应不明显,随着价格变动的供给影响系数增大,混合拍卖机制下卖方的收益不断增加;当买方参与人数较大时,卖方收益同时受到需求隐蔽和竞争效应影响,随着价格变动的供给影响系数增大,收益呈先增大后减小趋势。随着价格变动的供给影响系数增大,价格波动呈先增大后减小趋势。     

制造系统生产单元碳排放核算模型

制造业是我国国民经济的支柱产业,但也是环境污染物排放的主要来源、能源消耗主体和温室气体排放大户。制造系统高能耗、高物耗、高碳排放的加工过程是造成制造业碳排放量大的重要原因。生产单元作为制造系统的加工的主体,其碳排放量的核算是确定整个制造系统乃至制造业碳排放总量的关键。本文首先对生产单元的原材料、电能、辅助物料及废屑处理所引起的碳排放进行分析,确定生产单元的碳排放源;其次,产品合格率的不同会造成生产单元输入及输出的成品/半成品数量的差异,进而影响生产单元单位产品的碳排放量,在此基础上,综合考虑了原材料、电能、辅助物料及废屑处理的碳排放情况,构建了给定工艺流程下生产单元碳排放核算模型。最后,结合一汽车排气装置加工实例,分别核算加工过程中九个生产单元的碳排放量,验证了模型的可行性。