新制度经济学视角下的中国农地制度变迁：回顾与展望

研究目的:分析总结中国农地制度变迁的路径特征、决定条件和影响因素,并展望进一步研究方向。研究方法:文献分析法。研究结果:(1)改革开放以来的中国农地制度变迁呈现出一个较清晰的路径,即改革始终沿着市场取向、明晰产权、稳定地权的方向演进;(2)农地使用权制度改革的成功源于诱致性变迁与强制性变迁的结合,即弹性的中央政策制定、渐进式的地方实施以及具有学习效应的农户认知三者的有机互动,并体现出制度变迁的"共生演化"特征及其蕴含的"适应性效率";(3)新制度经济学是解释中国经济改革和农地制度变迁的有效工具,然而由于经典的新制度经济学本质上的静态性以及国家理论的缺乏,难以对现实世界的各类制度变迁给出一般化的解释。研究结论:基于经典的新制度经济学,进一步整合行为经济学、机制设计理论、演化博弈论等理论工具,超越"强制性—诱致性变迁"二分法,构建一个真正动态的制度变迁模型是一个重要研究方向。     

城市土地利用碳排放系统动力学仿真研究——以武汉市为例

研究目的:从系统角度分析土地、人口、社会、经济、能源对碳排放的影响作用,并对武汉市2017—2030年不同政策情景下的土地利用碳排放进行模拟,为其低碳发展战略和低碳土地利用规划提供决策依据。研究方法:系统动力学方法。研究结果:(1)建立的城市土地利用碳排放系统动力学模型是有效的;(2)按照目前的发展趋势,武汉市的碳排放总量将保持逐年攀升的趋势;(3)经济的快速发展对武汉市土地利用碳排放量的增加具有显著的影响作用;(4)调整土地利用结构、调整产业结构以及提高能源利用效率都能够有效的减少武汉市土地利用碳排放量,其中调整土地利用结构和调整产业结构的作用效果相对来说更加明显。研究结论:转变经济增长方式、升级产业结构、调整土地利用结构和积极研发先进的低碳科学技术是武汉市低碳发展的重要途径。     

Determinants of reverse marketing knowledge transfer potential from emerging market subsidiaries to multinational enterprises’ headquarters

Emerging markets (EM) are becoming increasingly important for multinational enterprises because of their high growth potential and future prospects. The unique circumstances in EM lead to increased pressure to offer creative marketing solutions that can be leveraged across the multinational network. Setting up subsidiaries to tap into these markets offers companies the opportunity to integrate in the local community and access its knowledge-base for local and global innovations. Literature, however, reveals that EM subsidiaries have been largely ignored concerning their potential for reverse knowledge transfer (RKT), and marketing initiatives are expected to be developed in mature, developed markets. Our paper fills this gap in research and contributes to extant literature by identifying factors at unit, relationship and knowledge levels influencing RKT potential specific to marketing knowledge from EM subsidiaries. The conceptual discussion leads to study propositions and conceptual framework.     

基于系统动力学的危险化学品运输风险因素研究

为了降低危化品运输事故频次,规避危化品在运输过程中的风险,基于系统动力学模型,从人、机、环、管4个维度构建危化品运输风险因素指标体系,使用AHP法对指标权重进行赋值,结合风险因素间的因果关系构建参数方程,利用Vensim软件仿真模拟危化品运输风险水平的变化趋势,确定单因素变量值和人、机、环、管风险子系统权重的变化对危化品运输风险系统动力学模型的影响程度。结果表明：安全意识薄弱、设备故障等风险因素的变动以及人、机、环、管风险子系统的权重变动都会影响危化品运输风险水平,人、机、环、管4个子系统对危化品运输风险的影响程度从高到低依次是人、管、环、机。研究结果可为降低危化品运输过程中的风险和制定危化品运输事故预防策略提供一定参考。     

Dynamics of judicial service supply chains

Behavioral issues, coupled with temporary capacity imbalances, dictate the characteristics that a service supply chain assumes in the long run. The paper looks at a service chain in which two factors, backlogs and incentives, influence human agent processing times and, hence, service supply chain capacity. The paper finds that servers within the supply chain change their processing speeds in order to maintain a backlog of cases that is acceptable and credible. The backlog must not be too small, so as to avoid the impression that work is scant and there is idleness; but it must not be too large, so as to avoid the impression of laziness. Simultaneously, the paper finds that there are implicit incentives in the formal hierarchy that impinge upon throughput rates at certain stages of the supply chain: agents upstream try not to overwhelm their bosses' stations downstream with excess work. Hence, this paper looks at the effects of perceived backlogs within service supply chains and also at capacity unbalances that stem from such incentives. The study explores these issues in the context of a managerial intervention in a judicial service supply chain. The study identifies the structure of a seemingly unstructured decision execution that leads to the observed outcomes. The research results in a preliminary system dynamics model that suggests several operational steps to overcome bottlenecks and incompetency.     

Analysing tax evasion dynamics via the Ising model

We develop a model of tax evasion based on the Ising model. We augment the model using an appropriate enforcement mechanism that may allow policy makers to curb tax evasion. With a certain probability tax evaders are subject to an audit. If they get caught they behave honestly for a certain number of periods. Simulating the model for a range of parameter combinations, we show that tax evasion may be controlled effectively by using punishment as an enforcement mechanism.     

汽车空调风道出风情况的CFD分析与优化

文章建立了某车型汽车空调风道结构的三维数学模型,利用商业软件Fluent进行模拟,得到了风道出风口风量大小和风量的分配情况,并与设计值进行了比较;在此基础上,分析了风道出口扫风情况,提出了解决方案,对改进和优化风道结构,提高汽车空调整体性能具有一定的参考价值。     

电子琴键上的情感-数字评价指标研究

电子琴的手感和力度一直以来都是研究者和使用者所关心的内容。电子琴琴键的力度变化可以表现不同的情感。现今所有的电子琴生产商都在以自己的标准来进行生产。对手感和力度的评价指标是需要统一的。就电子琴手感和力度部分,提出了两个指标。     

A supportive architecture for CFD-based design optimisation

Multi-disciplinary design optimisation (MDO) is one of critical methodologies to the implementation of enterprise systems (ES). MDO requiring the analysis of fluid dynamics raises a special challenge due to its extremely intensive computation. The rapid development of computational fluid dynamic (CFD) technique has caused a rise of its applications in various fields. Especially for the exterior designs of vehicles, CFD has become one of the three main design tools comparable to analytical approaches and wind tunnel experiments. CFD-based design optimisation is an effective way to achieve the desired performance under the given constraints. However, due to the complexity of CFD, integrating with CFD analysis in an intelligent optimisation algorithm is not straightforward. It is a challenge to solve a CFD-based design problem, which is usually with high dimensions, and multiple objectives and constraints. It is desirable to have an integrated architecture for CFD-based design optimisation. However, our review on existing works has found that very few researchers have studied on the assistive tools to facilitate CFD-based design optimisation. In the paper, a multi-layer architecture and a general procedure are proposed to integrate different CFD toolsets with intelligent optimisation algorithms, parallel computing technique and other techniques for efficient computation. In the proposed architecture, the integration is performed either at the code level or data level to fully utilise the capabilities of different assistive tools. Two intelligent algorithms are developed and embedded with parallel computing. These algorithms, together with the supportive architecture, lay a solid foundation for various applications of CFD-based design optimisation. To illustrate the effectiveness of the proposed architecture and algorithms, the case studies on aerodynamic shape design of a hypersonic cruising vehicle are provided, and the result has shown that the proposed architecture and developed algorithms have performed successfully and efficiently in dealing with the design optimisation with over 200 design variables.     

Has the ‘franc fort’ exchange rate policy affected the inflationary dynamics? Theory and new evidence

Abstract

This paper examines the impact of the ‘franc fort’ policy implemented in France from 1983 on the inflationary dynamics by means of a square root Kalman filter approach. An interesting aspect of the analysis is the evidence that the ‘franc fort’ exchange rate policy had a significant impact on the inflationary dynamics in France through its credibility effects. These results confirm the imported credibility hypothesis according to which the French authorities accelerated the disinflation process by importing the German monetary policy credibility through the ‘hard peg’ of the franc–DM exchange rate. These findings show that inflation dynamics in France began to converge significantly to that in Germany after the implementation of the ‘franc fort’ policy, making more credible the plan for the final transition to the euro. Moreover, this analysis may also reveal much about the nature of potential success of the current initiative of the new member countries now in the process of joining the EU and looking eventually to adopt the euro.