经济管理类专业计算机相关课程的设置与开放实验教学的研究

文章根据新形势下经济管理类专业对计算机及相关技术的特殊要求,讨论了计算机相关课程的设置,提出了实验教学改革的想法,即如何构建和管理开放实验室。     

Tourism as an alternative source of regional growth in Portugal: a panel data analysis at NUTS II and III levels

The role of tourism is of vital economic importance, particularly for small countries with a privileged geographical location and favourable weather conditions. This paper examines the importance of tourism as a conditioning factor for higher regional growth in Portugal by employing the conditional convergence hypothesis of Barro and Sala-i-Martin, associated with the endogenous growth theory. The panel data estimation approach provides evidence of the positive impact of tourism (through the accommodation capacity) on the growth in per-capita income among the Portuguese regions, increasing the rate of convergence. Therefore, tourism can be considered as an alternative source for stimulating higher regional growth in Portugal, if the supply characteristics of this sector are improved.     

A note on measuring political participation in comparative research

This article presents an application of Prezeworski and Teune's so-called “identity-equivalence method” to a large set of indicators of political participation. By relaxing commonly held assumptions about necessary distinctions among types of participation, it is found that the distinction between “conventional” and “unconventional” modes of participation is unnecessary, while the distinction between “government” and “nongovernment” has some merit. The findings also lend further support to the claims of Prezeworski and Teune that the identity-equivalence method is preferable to the identical indicator method.     

Social Scientific Explanations?

Generally valid scientific explanations of observable social phenomena are still hardly available. By applying philosophical insights generated by Quine and derived from semiotics to social research methodology three kinds of context dependencies accompanying theory formation within social science are identified. The third context dependency is mostly not attended in theory formation about social phenomena thereby producing a ``connotation fallacy', which leaves almost all social theories undetermined and fallible. These context dependencies should be taken into account in the research design and be tested for using statistical criteria comprising a new methodology presented in this article.     

Information–driven trading at the Prague Stock Exchange: Evidence from Intra–Day Data

Many observers argue that informed and insider trading is widespread in the emerging financial markets of transition countries, yet rigorous treatment of this issue has been virtually non–existent. The current paper estimates the extent of informed trading on the Prague Stock Exchange (PSE) using intra–day transaction data. Our estimates confirm that the average share of informed trading is equal to 0.32, which is high relative to developed markets and varies considerably among stocks. Using the Easley et al. (1996) approach on the very best segment of the PSE we obtained a high average probability of informed trading. Since data used in this study cover the period after the major attempts to improve market regulations, our results indicate that the PSE needs further strengthening to recover credibility and to become a real source of corporate financing. JEL classification: G14, G15.     

The Workout of Banking Crises: A Macroeconomic Perspective

This paper provides a macroeconomic perspective for governmentinterventions in banking crisis. Such crisis occur when a largenumber of banks fail to meet capital requirements or are insolvent.Using a macroeconomic model with financial intermediation, ouranalyis suggests that strict enforcement of capital-adequaterules suffices in prosperous periods. Capital requirements serveas an indicator for crises interventions in critical stateswhich may require interest rate intervention and restructuringof the banking industry. These policies can be reinforced byrandom bailouts and temporary financial relief, with a largepercentage of the costs being covered by current and futureowners of banks. (JEL D41, E4, G2)     

AN EVALUATION OF PROCESS‐ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS

Supply chain management (SCM) is implemented by integrating corporate functions using business processes within and across companies. Several process‐oriented frameworks for SCM have been proposed but only two of these provide sufficient detail to enable implementation. We evaluate the Supply‐Chain Operations Reference (SCOR) framework and The Global Supply Chain Forum (GSCF) framework using four criteria and identify their relative strengths and weaknesses.     

Language ability and adjustment: Western expatriates in China

Although the standard of English proficiency is rising in China, using English in conversations with Chinese host nationals may be difficult. Therefore, proficiency in the Chinese language may promote the adjustment of foreign business expatriates in China. To test this proposition, a mail survey was directed to Western business expatriates assigned to China. Controlling for the time expatriates had spent in China, results showed that their language ability had a positive association with their sociocultural adjustment. Not surprisingly, this positive relationship was strongest for interaction adjustment and weakest for work adjustment. The straightforward implications of these clear findings are discussed in detail. © 2006 Wiley Periodicals, Inc.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.