环境规制对农户清洁取暖采纳行为的影响——兼论政府信任的调节作用

基于“目标群体回应行动评价政策及执行有效性”的思路,利用汾渭平原微观农户调查数据,以农户的清洁取暖采纳行动来评估“双替代”政策及环境规制执行效能。鉴于清洁取暖双重政策目标,将农户清洁取暖采纳分为采纳决策和采纳效果两个阶段。采用Heckman模型,从约束型规制和激励型规制两个维度分析不同环境规制手段对农户清洁取暖采纳的影响效应。结果表明：约束型规制对农户清洁取暖采纳决策具有显著正向影响,而对农户清洁取暖采纳效果具有显著负向影响;激励型规制对农户清洁取暖采纳决策和采纳效果均有正向影响。控制内生性的IV-Heckman模型和PSM反事实估计结果支持了上述研究结论。运用同时克服环境规制内生性和样本选择偏差问题的IV-Heckman模型,从中央政府信任和地方政府信任两个层级拓展研究不同政府信任在环境规制对农户清洁取暖采纳影响中的调节作用。结果表明：中央政府信任在约束型规制对农户清洁取暖采纳中发挥增强性调节作用,地方政府在约束型规制和激励型规制对农户清洁取暖采纳中均发挥增强性调节作用。最后,提出环境规制政策执行应兼顾农户资本禀赋差异、提升地方政府信任度等对策建议。     

企业投资决策分析方法及应用

目的/意义针对投资决策中偏好信息为区间模糊数的多准则决策问题,提出了一种基于冲突最小化的群体决策方法。设计/方法首先,以决策整体最优为目标,构建极大熵规划模型求解决策准则权重;其次,以决策总冲突程度最小化为目标,构建优化模型求解决策成员权重;然后,建立决策方案的比较可能度矩阵和排序向量模型,获得问题决策方案排序结果。最后,通过一个投资决策实例进行应用,验证了方法的有效性和科学性。结论/发现该方法能够解决投资群体决策中的冲突问题,在投资决策中形成偏好最一致的决策方案。     

互联网金融风险与政府治理机制转型

目的/意义人工智能的飞速发展,一方面为政府治理提供了新的途径,但同时也带来了极大的挑战。因此,在人工智能背景下,如何优化政府智能决策模型、提高政府决策的效率和科学性就显得尤为重要。设计/方法从政府治理中智能决策的相关理论入手,对影响政府智能决策的内部因素和外部因素展开了研究,探讨了融合多源信息进行政府智能决策的问题。结论/发现构建了基于政府内外部信息的多源信息融合模型和政府智能决策系统,为智能化政务办公的发展提供强有力支撑。     

三支决策模型及其研究现状分析

目的/意义二分类群体决策问题广泛存在于社会民生和区域经济中的各个领域,例如：公务员面试、酒店推荐以及交通出行路线选择等。因此,需要提出合理的二分类群体决策方法,从而为政府和相关企业提供决策支持。设计/方法在考虑个体后悔规避行为的基础上,建立二分类选择过程,获得个体和群体关于备选方案的二分类向量;进一步建立二分类共识过程,协助个体调整偏好,从而获得具有较高共识水平的二分类。结论/发现从最小调整成本视角,建立了后悔规避行为下二分类群体决策方法,更加贴近现实决策情景,进一步丰富了群体决策方法的应用范围。     

我国地方政府决策程序中实然与应然的矛盾及现实进路

改革开放以来,地方决策权的扩大调动了地方政府处理公共事务的主动性、积极性。但与此同时,地方政府在决策时出现的程序问题也不容忽视,其中,决策程序的实然与应然的矛盾十分突出。这是由于我国重结果轻程序的传统所导致的,在这种情况下,决策问题的提出、方案的设计、专家咨询论证制度、决策利益主体参与的听证会制度等都被忽略或者流于形式。探究地方政府决策程序中实然与应然的矛盾。可以为地方政府更好地进行决策、维护公众利益寻找现实进路。     

陈云经济决策思想与我国大规模经济建设的起步

新中国初期,陈云深刻分析国际国内政治、经济形势,及时把握大局,制定并实施正确的财经方针和政策,为恢复国民经济和抗美援朝战争提供了保障,实现了国家工作重心由应对战争向大规模经济建设的转变。     

Perceptions of Randomized Security Schedules

Security of infrastructure is a major concern. Traditional security schedules are unable to provide omnipresent coverage; consequently, adversaries can exploit predictable vulnerabilities to their advantage. Randomized security schedules, which randomly deploy security measures, overcome these limitations, but public perceptions of such schedules have not been examined. In this experiment, participants were asked to make a choice between attending a venue that employed a traditional (i.e., search everyone) or a random (i.e., a probability of being searched) security schedule. The absolute probability of detecting contraband was manipulated (i.e., 1/10, 1/4, 1/2) but equivalent between the two schedule types. In general, participants were indifferent to either security schedule, regardless of the probability of detection. The randomized schedule was deemed more convenient, but the traditional schedule was considered fairer and safer. There were no differences between traditional and random schedule in terms of perceived effectiveness or deterrence. Policy implications for the implementation and utilization of randomized schedules are discussed.     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.     

损失厌恶、后悔厌恶与沉没成本效应的关联性分析

以往研究认为沉没成本效应的产生与损失厌恶和后悔厌恶相关,但对其相互关系的探讨较少考虑货币性沉没成本和非货币性沉没成本的不同影响.文章选取证券监管者和证券市场投资者作为被试对象,通过有情境因素的调查问卷对损失厌恶、后悔厌恶与沉没成本效应之间的关联性进行验证.实证结果发现,与证券市场投资者相比,证券监管者的损失厌恶倾向要显著更低,而二者的后悔厌恶和沉没成本效应则无显著差异;证券监管者的数据结果表明,后悔厌恶与沉没成本效应之间存在显著的相关性,而损失厌恶与沉没成本效应之间不存在显著的相关性;相比之下,证券市场投资者的数据结果则表明,损失厌恶与沉没成本之间存在显著的相关性,而后悔厌恶与沉没成本之间则不存在显著的相关性.     

基于序化机理的稳健型股票价值投资决策——一个研究框架

面对资本市场风险加剧的现实背景,以"公司经营业绩与股票市场业绩一致趋优"为稳健型投资的核心要素,立足于区间数据表示、会计信息度量两个关键要素,开展稳健型股票价值投资的多准则决策建模研究。面向稳健型投资决策目标,提出满足"稳健性""局部性""全局性"3个特性的序化机理,围绕关键特征选择、特征评价、全序化建模的主体脉络建立系统性多准则决策方法,进而构建"稳健型股票价值投资决策"的研究框架。