零售商自有品牌与消费者购买意愿因素研究——以山东省零售企业为例

当前中国零售业快速发展,发展自有品牌成为零售商获取竞争优势的重要途径.在总结国内外有关研究的基础上,从感知价值、感知质量、感知价格、感知风险、店铺形象、品牌形象以及品牌知名度七个维度探究其对自有品牌消费者购买意愿和忠诚度影响,并通过对山东省零售企业问卷调查实证分析对模型进行验证,为本土零售商开发和推广自有品牌提供营销策略上的依据和借鉴.     

关于判决前“罚金已缴纳”的法律适用问题探析

针对司法实践中普遍存在的“预交罚金”问题,认为其仅是一种变通的刑罚执行方式,“预交罚金”的性质实际上是罚金刑执行的保证金,与罚金的法律性质不同,根据罪刑法定这一刑法基本原则,此种变通不能突破现有的刑法框架,因此在法律适用上不能也不应拒绝作为罚金刑法律依据的刑法第52条、第53条等条款的适用.     

Follow the money: using payment behaviour as predictor for future self-exclusion

Behavioural tracking is an increasingly discussed method of early detection of potential gambling-related problems. Recent research has focused predominantly on information derived from gambling transactions and communication logs. Even though payment behaviour establishes a direct link to the financial consequences of gambling, it had thus far not become subject to this field of research. This article uses transactional data generated by 2696 customers from the online gambling label bwin.com to investigate how far specific payment behaviours and specific payment methods enable a prospective differentiation between self-excluders and controls. The number and amount of deposits, the variance of withdrawals, the amount of funds subject to reversed withdrawals and the usage of mobile phone billing were found to be positively associated with self-exclusion; the number of active gambling months and the usage of electronic wallets and prepaid cards negatively. Customer age displayed a U-shaped relation, with customers of below and above average being stronger associated with self-exclusion. However, it must be noted that the validity of the resulting predictive model derived from payment data is lower than comparable models derived from gambling data. The results are discussed in the light of implementing early-detection and intervention algorithms based on customer behaviour.     

区域生态补偿的主体及其权利义务关系——基于京津风沙源区的案例分析

京津风沙源区生态补偿的实践中，区域补偿主体为中央政府，受偿主体为鸟兰察布市政府和张家口市政府；其他有关主体有：各级政府和发改委、财政部门、资源主管部门、分管部门，以及企业、个人等各类社会组织。京津风沙源区的区域补偿主体权利义务的实现方式以上下级政府之间的财政转移支付为主，还存在群众自筹资金及横向财政转移支付形式。根据生态补偿有关主体参与法律关系的不同及其角色行为，可以归纳出三组主体及其权利义务对应关系。     

配送延迟时运费策略对消费者购买决策的影响

随着电子商务产业的繁荣,商品配送延迟现象愈发频繁。电商为了在配送延迟时实施有效的运费策略来吸引消费者购买商品,有必要研究配送延迟对消费者最优购买决策的影响。引用配送延迟时的消费者效用函数,构建消费者剩余模型。当消费者剩余最大化时,得到在给定的延迟配送时间、产品价格、免运费阈值以及运费条件下的消费者最优购买决策。研究发现:配送延迟与消费者最优决策呈负相关关系。较低的免运费阈值会促进中低消费欲望的消费者购买;合理的免运费阈值会阻止具有低消费欲望的消费者购买商品,但会刺激具有中高消费欲望的消费者增加购买金额,尤其是在配送延迟情境下会加强这种效果。     

基于Holmstorm扩展框架的上市公司股利支付问题研究

股利支付是上市公司的重要决策,对改善公司治理和增进上市公司价值具有重要作用。股利支付能否传递公司内部的代理成本和治理水平信息是股市参与者关心的问题。基于Holmstorm框架建立“股东-经理人”和“大股东-中小股东”的双重委托代理扩展模型,选取2003—2016年我国A股上市公司的样本数据,以管理费用率和公司资金占用水平为代理变量,采用Logit模型进行面板回归分析,发现我国上市公司的现金股利支付意愿与两类代理成本呈显著负相关关系,在此基础上就改进公司治理提出有益的政策建议。     

双渠道采销模式下装备制造企业选址影响因素分析

基于大数据、云服务和智能制造的时代背景,分析当前选址理论的发展现状与前景。根据装备制造企业的运作特点,提出装备制造企业在双渠道采销模式下的单厂选址和多厂选址的概念模型。通过以往相关文献的研究共识和企业的实际调研结果,将双渠道采销模式下装备制造企业的选址影响因素归为5类。并从成本制约因素、运输时间因素、区域条件因素、服务质量因素和外部环境因素5个维度确定了13个具有显著影响作用的二级指标。     

中国蓝碳市场建设的理论同构与法律路径

海洋是重要的温室气体吸收汇,我国对蓝色碳汇资源的开发利用具有光明前景。一方面,蓝色碳汇的科学认知,生态系统服务付费的引入,以及气候责任理念的发展,为蓝碳市场建设奠定了理论基础。另一方面,域外国家对蓝碳标准和市场规则的初步探索,也为我国提供了有益的实践借鉴。我国完全可以将蓝碳市场纳入到国家统一碳排放交易制度体系建设中,在法律路径上,有针对性采取融合型、专项型和地方推进的多维立法模式,构建蓝碳市场立法与国际环境条约以及我国其他相关法律的协调机制,并着重完善蓝碳市场建设中碳汇核算与核证、环境影响评价、市场交易和监管等关键性制度安排。     

权力、资源、专业的互动博弈：政府购买服务中的政社关系研究

随着政府购买社工服务的逐步推进,政府与社会工作机构之间的互动关系变得直接、频繁、复杂而微妙.在项目场域中,政府与社会工作机构围绕资源、权力、专业展开持续的互动博弈.在此过程中,双方有着各自的行动逻辑,同时又倾向于“策略合作”.然而“策略合作”并不简单表现为合作,双方的利益取向及互动关系的动态性决定其策略合作的复杂性.其中资源的依附性使社工机构在策略合作中处于绝对的弱势地位,由此也影响了其专业性和发展的独立性.应通过政府购买机制的健全,实现政府与社工机构的双向建构,最终使二者建立起一种“独立中有合作”的“伙伴关系”.     

The neglog transformation and quantile regression for the analysis of a large credit scoring database

Summary.  A statistical analysis of a bank's credit card database is presented. The database is a snapshot of accounts whose holders have missed a payment on a given month but who do not subsequently default. The variables on which there is information are observable measures on the account (such as profit and activity), and whether actions that are available to the bank (such as letters and telephone calls) have been taken. A primary objective for the bank is to gain insight into the effect that collections activity has on on-going account usage. A neglog transformation that highlights features that are hidden on the original scale and improves the joint distribution of the covariates is introduced. Quantile regression, a novel methodology to the credit scoring industry, is used as it is relatively assumption free, and it is suspected that different relationships may be manifest in different parts of the response distribution. The large size is handled by selecting relatively small subsamples for training and then building empirical distributions from repeated samples for validation. In the application to the database of clients who have missed a single payment a substantive finding is that the predictor of the median of the target variable contains different variables from those of the predictor of the 30% quantile. This suggests that different mechanisms may be at play in different parts of the distribution.