阶梯电价背景下基于贝叶斯分析的用电需求模型

阶梯电价不仅引导居民合理、节约用电,而且减少了用户之间的电价交叉补贴,但在实际应用中存在多种不确定因素,如居民用电需求变动以及各档电量的确定范围等。针对居民用电需求变动,本文提出了基于贝叶斯估计方法的阶梯电价用电需求模型。首先提出基于阶梯电价的需求函数;其次对阶梯电价用电需求函数进行贝叶斯分析,分别从统计模型、似然函数、后验分布以及加速收敛四个方面分析;最后,对1250个用户的用电数据进行估计,将影响因素带入模型得出各用户的用电需求,确定了贝叶斯估计对用电需求模型构建的适用性。     

Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities

In this article, an agent‐based framework to quantify the seismic resilience of an electric power supply system (EPSS) and the community it serves is presented. Within the framework, the loss and restoration of the EPSS power generation and delivery capacity and of the power demand from the served community are used to assess the electric power deficit during the damage absorption and recovery processes. Damage to the components of the EPSS and of the community‐built environment is evaluated using the seismic fragility functions. The restoration of the community electric power demand is evaluated using the seismic recovery functions. However, the postearthquake EPSS recovery process is modeled using an agent‐based model with two agents, the EPSS Operator and the Community Administrator. The resilience of the EPSS–community system is quantified using direct, EPSS‐related, societal, and community‐related indicators. Parametric studies are carried out to quantify the influence of different seismic hazard scenarios, agent characteristics, and power dispatch strategies on the EPSS–community seismic resilience. The use of the agent‐based modeling framework enabled a rational formulation of the postearthquake recovery phase and highlighted the interaction between the EPSS and the community in the recovery process not quantified in resilience models developed to date. Furthermore, it shows that the resilience of different community sectors can be enhanced by different power dispatch strategies. The proposed agent‐based EPSS–community system resilience quantification framework can be used to develop better community and infrastructure system risk governance policies.     

服务型制造网络的Holon协同需求评价方法

依据复杂网络理论分析服务型制造网络Holon协同需求问题，给出一种考虑以直觉正态模糊数表示且多Holon协同的服务型制造网络协同需求评价方法。首先，在区分Holon复合协同和递归协同基础上构建服务型制造网络协同需求评价指标体系；其次，考虑基于网络结构特征的Holon相似稳定性，根据服务型制造网络节点相似性测度分析Holon协同需求特征，并测算不同相似性测度修正的Holon网络结构熵；再次，建立面向服务型制造网络和Holon的有专家信息双向触动反馈机制，反馈包括评价指标和网络协同状况，反馈Holon信息包括基于服务型制造网络演化方向的Holon间协同需求建议和基于服务型制造网络现有状态的网络连通性Holon协同需求建议；最后由INFCWA（INFCWA_R）算子或INFCWG（INFCWG_R）算子分别对复合协同和递归协同评价信息集结并得出评价结论。方法设计过程通过例证分析说明根据服务型制造网络目标控制的Holon协同需求评价改进了群组评价效率。     

通过深化体制改革建立扩大内需的长效机制

我国内需不足的根本原因是深层次的体制问题，具体表现在不合理的收入分配体制，政府公共服务支出占政府总支出的比重较低，国有企业借助行政垄断地位挤压中小企业的生存空间．也增加了居民的生活成本，城乡一体化改革进展缓慢。必须通过深化经济体制改革，加快推进收入分配体制改革，加快公共财政体制建设，逐步完善基本公共服务体系，鼓励扩大民间投资，深化国有企业体制改革，加快推进城乡一体化改革。     

Price-setting newsvendor with strategic consumers

We consider a newsvendor who sells a single product over a single season with the objective of determining both the selling price and stock quantity to maximize the expected profit. The customers are strategic and we consider two demand cases: additive and multiplicative. For each case, we derive the newsvendor׳s optimal decisions and demonstrate that neglecting the price-sensitivity of demand leads the newsvendor to make sub-optimal decisions. Moreover, we show that under certain conditions, strategic consumer behavior may positively affect the newsvendor׳s optimal expected profit in the additive demand case.     

贵州社会管理创新:经验、问题与出路

近年来,贵州社会管理创新取得了一些成效,其主要经验是强化中国共产党在社会管理创新中的领导地位,发挥政府在社会管理创新中的主导作用,创新内容要关注民生。尽管如此,贵州社会管理创新还存在社会矛盾化解机制不健全、基层政府社会管理力量薄弱、社会组织培育机制不健全等问题,应通过完善源头治理机制、改革基层社会管理体制、优化社会组织培育机制等途径来解决。     

中国地方NGO生成机制的制度分析

地方NGO作为一种具体制度安排，其生成机制主要是在外在制度环境的作用下，以潜在利益为基本诱因，外在制度需求与内在制度供给相互契合推进，从而激励地方公民合作创设NGO制度安排的复杂过程。这是中国地方NGO生成的简要逻辑。从制度需求与制度供给的视角分析，在中国地方NGO的生成机制中，国家与市场对NGO制度安排的供给、市民集体行动的理性选择、地方制度转型的适应性安排、地方政府之间的制度竞争、地方知识精英的主导性介入与网络等科学技术进步的推动是六个关键性因素。特别是国家与市场的博弈过程与中国地方NGO的发展壮大过程相伴相生。分析中国地方NGO的生成机制，可以窥见中国公民社会的生长与发展轨迹。     

启动农村消费的障碍及消除障碍的路径选择研究

消费是拉动内需,推动经济持续、健康发展的不懈动力,然而现阶段我国居民消费对GDP增长的促进作用较弱,尤其是农村消费,但由于受收入、物价、市场发达程度等因素的制约,农村消费长期以来一直被压制.采用定量、定性相结合的分析方法,通过构造数量模型分析影响消费的主要因素及影响程度,在此基础上重点对影响农村消费增长的原因进行分析,并提出相应的解决措施.     

A Theory of Macroprudential Policies in the Presence of Nominal Rigidities

We propose a theory of monetary policy and macroprudential interventions in financial markets. We focus on economies with nominal rigidities in goods and labor markets and subject to constraints on monetary policy, such as the zero lower bound or fixed exchange rates. We identify an aggregate demand externality that can be corrected by macroprudential interventions in financial markets. Ex post, the distribution of wealth across agents affects aggregate demand and output. Ex ante, however, these effects are not internalized in private financial decisions. We provide a simple formula for the required financial interventions that depends on a small number of measurable sufficient statistics. We also characterize optimal monetary policy. We extend our framework to incorporate pecuniary externalities, providing a unified approach to both externalities. Finally, we provide a number of applications which illustrate the relevance of our theory.     

Shadow Insurance

Life insurers use reinsurance to move liabilities from regulated and rated companies that sell policies to shadow reinsurers, which are less regulated and unrated off‐balance‐sheet entities within the same insurance group. U.S. life insurance and annuity liabilities ceded to shadow reinsurers grew from $11 billion in 2002 to $364 billion in 2012. Life insurers using shadow insurance, which capture half of the market share, ceded 25 cents of every dollar insured to shadow reinsurers in 2012, up from 2 cents in 2002. By relaxing capital requirements, shadow insurance could reduce the marginal cost of issuing policies and thereby improve retail market efficiency. However, shadow insurance could also reduce risk‐based capital and increase expected loss for the industry. We model and quantify these effects based on publicly available data and plausible assumptions.