Proportional Trapping-Removal Model with a Known Ratio

ABSTRACT

Population size estimator is derived for a proportional trapping-removal model with a known ratio between two sub-population sizes, and the corresponding asymptotic properties is obtained. The performance of the proposed estimator is checked via simulation studies and an example.     

Two-step estimation for inhomogeneous spatial point processes

Summary.  The paper is concerned with parameter estimation for inhomogeneous spatial point processes with a regression model for the intensity function and tractable second-order properties ( K -function). Regression parameters are estimated by using a Poisson likelihood score estimating function and in the second step minimum contrast estimation is applied for the residual clustering parameters. Asymptotic normality of parameter estimates is established under certain mixing conditions and we exemplify how the results may be applied in ecological studies of rainforests.     

Developing spatial inequalities in carbon appropriation: A sociological analysis of changing local emissions across the United States

This study examines an overlooked dynamic in sociological research on greenhouse gas emissions: how local areas appropriate the global carbon cycle for use and exchange purposes as they develop. Drawing on theories of place and space, we hypothesize that development differentially drives and spatially decouples use- and exchange-oriented emissions at the local level. To test our hypotheses, we integrate longitudinal, county-level data on residential and industrial emissions from the Vulcan Project with demographic, economic and environmental data from the U.S. Census Bureau and National Land Change Database. Results from spatial regression models with two-way fixed-effects indicate that alongside innovations and efficiencies capable of reducing environmentally harmful effects of development comes a spatial disarticulation between carbon-intensive production and consumption within as well as across societies. Implications for existing theory, methods and policy are discussed.     

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。     

A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects

Formal models that support multi-criteria decision making represent a strongly growing area in sustainable supply chain management research. However, uncertainties and risks are seldom considered in quantitative models for green supply chain (SC) design. The paper at hand suggests a hybrid approach to configure an eco-efficient SC for a new product under consideration of economic and environmental risks. Discrete-event simulation is applied to assess the financial, operational and environmental performance of different SC configuration options while the value-at-risk concept is adapted to evaluate related SC risks. The analytic hierarchy process is employed to solve the resulting multi-criteria decision problem of choosing the best option. The approach is illustrated at a case example of a fast moving consumer goods manufacturer.     

Informed Public Preferences for Electricity Portfolios with CCS and Other Low‐Carbon Technologies

Public perceptions of carbon capture and sequestration (CCS) and other low‐carbon electricity‐generating technologies may affect the feasibility of their widespread deployment. We asked a diverse sample of 60 participants recruited from community groups in Pittsburgh, Pennsylvania to rank 10 technologies (e.g., coal with CCS, natural gas, nuclear, various renewables, and energy efficiency), and seven realistic low‐carbon portfolios composed of these technologies, after receiving comprehensive and carefully balanced materials that explained the costs and benefits of each technology. Rankings were obtained in small group settings as well as individually before and after the group discussions. The ranking exercise asked participants to assume that the U.S. Congress had mandated a reduction in carbon dioxide emissions from power plants to be built in the future. Overall, rankings suggest that participants favored energy efficiency, followed by nuclear power, integrated gasification combined‐cycle coal with CCS and wind. The most preferred portfolio also included these technologies. We find that these informed members of the general public preferred diverse portfolios that contained CCS and nuclear over alternatives once they fully understood the benefits, cost, and limitations of each. The materials and approach developed for this study may also have value in educating members of the general public about the challenges of achieving a low‐carbon energy future.     

消费者低碳消费行为的心理归因和政策干预路径:一个基于扎根理论的探索性研究

引导消费者的生活方式和消费模式转向低能耗、低污染、低排放的方向是当前一个重大课题。然而,消费者为什么会实行低碳消费行为模式(即低碳消费行为归自何种心理)?如何促进和引导消费者的低碳消费行为(即低碳消费行为如何才能持续)?对于这两个关键性问题目前还缺乏深度的研究。本文通过深度访谈,应用扎根理论这一探索性技术探究低碳消费行为的深层次心理归因(解决第一个问题)及相应的政策干预路径(解决第二个问题)。研究发现,个体心理意识、社会参照规范两个主范畴是低碳消费行为的内部和社会心理归因。但它们对于低碳消费行为的促成机理并不一致:个体提高心理意识产生相应的低碳消费行为,这归于认知性学习范畴;个体观察参照群体的消费模式及其结果产生特定的低碳消费行为,这归于观察性学习范畴。不同心理控制源的个体(内控型还是外控型)之间也存在一定的差异。低碳传播沟通和情境结构变革两个主范畴是低碳消费行为的政策干预变量,且它们是相互补充、相互配合的。通过传播沟通影响个体心理意识、社会参照规范,通过情境结构变革影响低碳消费行为的成本收益结构成为主要的政策干预路径。这些研究结论可以为政府制定有效的干预政策,为引导消费者的消费行为模式提供理论基础和政策借鉴...     

中国碳排放库兹涅茨曲线存在性研究

经济增长与环境恶化之间的矛盾直接推动了碳排放库兹涅茨曲线的研究。本文基于1995-2009年中国省际碳排放面板数据,利用面板协整和误差修正模型对中国碳排放库兹涅茨曲线的存在性进行实证研究,结果发现：动态固定效应下的面板误差修正模型最优,碳排放与经济增长间存在长期稳定的倒U型关系,拐点为人均国内生产总值29847.29元,且存在短期误差修正机制;与权威机构时序数据回归结果比较,动态面板模型结果具有稳健性。     

中国碳税风险及其应对

碳税是减少碳排放的一种重要政策手段,为了降低中国的碳排放量,可以考虑开征碳税来达到这一目的。对于中国开征碳税,许多学者认为具有较大的风险性,认为实施碳税政策在削减碳排放的同时必将对中国的收入分配、经济增长、出口贸易和宏观税负等产生一定的负面影响。文章从时间序列的角度,利用计量经济模型,对此问题进行了分析,得出中国开征碳税对收入分配等的影响并不都是负面的,有的甚至是正面的影响,并针对模型的回归结果,提出了相应的政策建议。     

聚中性红薄膜修饰电极的研制及应用

本文简要地介绍了作者近年来对聚中性红薄膜修饰电极的研制、表征及其广泛的分析应用方面的研究工作以及在研究中所取得的成果。