国际营销下的国际物流发展策略

国际物流是企业顺利完成国际市场营销活动的重要保障。在阐述国际物流意义的基础上,提出国际物流的发展策略,认为应该加强物流基础设施建设、加快国际物流人才的培养、强化技术在国际物流中运用和积极发展第三方物流,以促进我国国际物流的快速发展。     

WHAT MAKES A GREAT JOURNAL GREAT IN ECONOMICS? THE SINGER NOT THE SONG

Abstract This paper analyses what makes a great journal great in economics. Alternative research assessment measures (RAM) are discussed, with an emphasis on the Thomson Reuters Institute for Scientific Information (ISI) Web of Science database. ISI RAM that are calculated annually or updated daily are defined, including the classic 2‐year impact factor (2YIF), 5‐year impact factor (5YIF), immediacy (zero‐year impact factor (0YIF)), eigenfactor score, article influence, citation performance per paper online, h‐index, Zinfluence, PI‐BETA (papers ignored ‐ by even the authors) and two new RAM measures, self‐citation threshold approval rating and impact factor inflation. The data are analysed for the most highly cited journals in economics, management, business and business–finance on the basis of 2YIF. In addition to evaluating research in the most highly cited journals in economics, management, business and business–finance, the paper evaluates alternative RAM, highlights similarities and differences in RAM criteria, finds that several RAM capture similar performance characteristics, and finds that immediacy and PI‐BETA are not highly correlated with other RAM. Harmonic mean rankings of the 12 RAM criteria are also presented. Emphasizing 2YIF to the exclusion of other useful RAM criteria can lead to a distorted evaluation of journal performance and influence.     

International tax arbitrage, tax evasion and interest parity conditions

Using a finite-horizon general equilibrium model with uncertainty and money, we characterize situations where tax arbitrage opportunities may arise for international portfolio investors in an economy with heterogeneous capital income taxation when there is some scope to evade taxes on foreign capital income. We derive tax-modified uncovered interest parity conditions and forward rates similar to the no-tax ones, but augmented by tax-induced “risk-premium” terms; covered interest parity conditions remain unaffected by the introduction of capital income taxes, a consequence of our approach of bounding tax-based arbitrage without restricting arbitrage per se.     

On the equivalence of location choice models: Conditional logit, nested logit and Poisson

It is well understood that the two most popular empirical models of location choice - conditional logit and Poisson - return identical coefficient estimates when the regressors are not individual specific. We show that these two models differ starkly in terms of their implied predictions. The conditional logit model represents a zero-sum world, in which one region’s gain is the other regions’ loss. In contrast, the Poisson model implies a positive-sum economy, in which one region’s gain is no other region’s loss. We also show that all intermediate cases can be represented as a nested logit model with a single outside option. The nested logit turns out to be a linear combination of the conditional logit and Poisson models. Conditional logit and Poisson elasticities mark the polar cases and can therefore serve as boundary values in applied research.     

Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3 competition. Two masked subsets of the M3 monthly industry data, containing 111 and 11 empirical time series respectively, were chosen, controlling for multiple data conditions of time series length (short/long), data patterns (seasonal/non-seasonal) and forecasting horizons (short/medium/long). The relative forecasting accuracy was assessed using the metrics from the M3, together with later extensions of scaled measures, and non-parametric statistical tests. The NN3 competition attracted 59 submissions from NN, CI and statistics, making it the largest CI competition on time series data. Its main findings include: (a) only one NN outperformed the damped trend using the sMAPE, but more contenders outperformed the AutomatANN of the M3; (b) ensembles of CI approaches performed very well, better than combinations of statistical methods; (c) a novel, complex statistical method outperformed all statistical and CI benchmarks; and (d) for the most difficult subset of short and seasonal series, a methodology employing echo state neural networks outperformed all others. The NN3 results highlight the ability of NN to handle complex data, including short and seasonal time series, beyond prior expectations, and thus identify multiple avenues for future research.     

Gender gaps across the earnings distribution for full-time employees in Britain: Allowing for sample selection

This paper investigates gender differences across the log wage distributions of British employees working full-time in 2005. The raw gender wage gap shows a tendency to increase across the distribution with a glass ceiling effect indicated. A strong relationship between high skilled, white-collar occupations and carrying out managerial duties with the glass ceiling effect is indicated in the data. After allowing for positive selection into full-time employment by British women, a substantially larger gender earning gap is found: the selection corrected gender wage gap is close to twice the raw gap across most of the earnings distribution. This selection corrected gap is found to be predominantly related to women receiving lower rewards for their characteristics than men. Indeed, the results suggest the gender earnings gap would all but disappear across the earnings distribution if women working full-time received the same returns to their characteristics as men working full-time in Britain do.     

高校网上招生系统的后续开发与研究

针对目前院校端网上招生录取系统存在的局限性,文章详细介绍了高校网上招生后续开发管理系统的功能,讨论了系统实现中的关键技术及实现方法,指出该系统采用分布式计算技术,建立基于组件的3层C/S模型的体系结构,具有高效性、可伸缩性、开发周期短、安全性高的特点。     

第三方逆向物流信息系统分析与设计

指出信息系统在第三方逆向物流企业中的重要性,分析了第三方逆向物流企业的业务流程和数据传输流程,并提出设计C/S与B/S相混合的第三方逆向物流信息系统的设计方案,并进一步探索了如何通过ASP.NET技术来实现。     

现代物流产业概念内涵和外延的理论研究

以经济学的市场划分、新兴古典经济学分工演进理论和三次产业分类理论为基础,以联合国标准产业分类法和我国《国民经济行业分类》的行业定义、划分原则和规定为标准,同时兼顾现代产业发展趋势-产业融合的特点。依据物流产品特性界定我国现代物流产业狭义和广义概念。     

从供需层面看中国第三方物流问题

随着中国经济的发展，提供第三方物流服务的物流公司纷纷涌现出来。同时，与第三方物流相关的一些问题也随之出现．针对这种情况．我们建立了第三方物流经济模型，从供需层面来分析中国第三方物流中存在的问题．找出问题存在的根本原因，并且对物流企业的建设提出一些建议和解决方案。