TPP知识产权最大化国际保护新发展析论——以著作权若干规则为切入点

美国主导下的跨太平洋伙伴关系协议（TPP）谈判因其高度的保密性,使知识产权谈判文本潜藏利益失衡的风险。通过分析可以发现该文本在临时复制权、平行进口、保护期限、权利限制和例外以及著作权推定诸多规则中呈现知识产权最大化国际保护趋向,从而总体上体现出“TRIPS-plus”的法律属性。对此,中国应加大TPP法律层面的研究,重视发挥非政府组织的作用,并积极准备相应预案,择机加入TPP谈判,以争取知识产权规则制定的国际话语权。     

Inference for a series system with dependent masked data under progressive interval censoring

This paper considers the statistical analysis of masked data in a series system with Burr-XII distributed components. Based on progressively Type-I interval censored sample, the maximum likelihood estimators for the parameters are obtained by using the expectation maximization algorithm, and the associated approximate confidence intervals are also derived. In addition, Gibbs sampling procedure using important sampling is applied for obtaining the Bayesian estimates of the parameters, and Monte Carlo method is employed to construct the credible intervals. Finally, a simulation study is proposed to illustrate the efficiency of the methods under different removal schemes and masking probabilities.     

Accelerated Estimation of Switching Algorithms: The Cointegrated VAR Model and Other Applications

Restricted versions of the cointegrated vector autoregression are usually estimated using switching algorithms. These algorithms alternate between two sets of variables but can be slow to converge. Acceleration methods are proposed that combine simplicity and effectiveness. These methods also outperform existing proposals in some applications of the expectation–maximization method and parallel factor analysis.     

从经济学到法学：法律经济学发展研究

法律经济学是 2 0世纪西方法学界也是经济学界发展最快的领域之一 ,也是 2 0世纪后半个世纪法学界最重要的发展。国内对其有一定的研究 ,但对于法律经济学发展线路的系统性研究并不多见 ;文章从法律经济学产生发展的各个历史阶段进行分析 ,揭示了法律经济学的发展历程 :由经济学学科到法学学科 ,并为法学研究带来方法论的一场新革命     

从委托代理理论看责任中心的业绩考核

从委托代理理论的观点来看 ,采用传统的可控原则来对责任中心的业绩进行考核不能实现最优风险分担 ,不利于企业整体利益的最大化 ,因此在进行业绩考核时必须充分考虑不确定性的影响     

Economic Manufacturing Quantity and Its Integrating Implications

Several contradictions are noted among the Economic Order Quantity (EOQ), Just‐In‐Time (JIT), and Optimized Production Technology (OPT) approaches and the economic framework for profit maximization. A fundamental model referred to as the Economic Manufacturing Quantity (EMO) is developed and examined for its integrating implications for the three approaches. An implication for the classic EOQ approach is that the balance between setup and inventory carrying costs is valid when a production facility is operating at or below a certain critical level but not when operating above that level. An implication for the JIT approach is that one must reduce setup cost at non‐bottlenecks and setup time at bottlenecks to reduce inventory. An implication for the OPT approach is that trade‐offs between setup and inventory carrying costs may indeed be ignored while determining process batch sizes, provided each facility in a production system is operating at or above Its critical level. Economic theoretic analysis of the EMO model provides a basis for unification of JIT which advocates stability in operating level as a key to improved productivity and quality, and OPT that advocates maximizing operating level with resultant emphasis on bottlenecks as a key to increased profits. This unifying basis states that a profit‐maximizing production facility or system will operate at the full and stable level as long as market demand remains relatively sensitive to price and operating at the full (maximum) level provides positive unit contribution.     

Optimal Control of Replenishment and Substitution in an Inventory System with Nonstationary Batch Demand

We study an inventory system in which a supplier supplies demand using two mutually substitutable products over a selling season of T periods, with a single replenishment opportunity at the beginning of the season. As the season starts, customer orders arrive in each period, for either type of products, following a nonstationary Poisson process with random batch sizes. The substitution model we consider combines the usual supplier‐driven and customer‐driven schemes, in that the supplier may choose to offer substitution, at a discount price, or may choose not to; whereas the customer may or may not accept the substitution when it is offered. The supplier's decisions are the supply and substitution rules in each period throughout the season, and the replenishment quantities for both products at the beginning of the season. With a stochastic dynamic programming formulation, we first prove the concavity of the value function, which facilitates the solution to the optimal replenishment quantities. We then show that the optimal substitution follows a threshold rule, and establish the monotonicity of the thresholds over time and with respect to key cost parameters. We also propose a heuristic exhaustive policy, and illustrate its performance through numerical examples.