老龄化下人均经济增长率变动的实证分析

文章从曼昆、罗默和韦尔的总量生产函数出发,在经济增长模型中加入老龄化因素,据此分析了老龄化所致人口结构变化对于人均经济增长率变动的影响,并对所建构的模型进行了检验,结果表明自1978-2004年老龄化因素下的人均经济增长变动率一直为正,但增长呈现下降趋势.同时对其变动作出了预测分析,结果表明我国在2035年以前处于人均经济增长变动率为正的人口红利期,在2036-2055年则处于人口亏损期.针对分析结论,本文提出了充分利用人口红利期的政策建议和未来研究的方向.     

张家界旅游产业结构分析及对策

未来产业的竞争离不开产业整体竞争，而产业价值链就是实现产业竞争力的重要工具。本文从旅游产业价值链入手，运用偏离份额法分析了张家界旅游产业链上各部门结构的发展规模、水平以及相互之间的联系和比例关系等问题，并从旅游产业的“点-面-线”三个层面提出全面优化产业结构和产业升级的有效对策。     

FOREIGN INVESTOR PARTICIPATION IN PRIVATIZATIONS: DOES THE INSTITUTIONAL ENVIRONMENT MATTER?

We examine the determinants of foreign investors' participation in the privatization process of developing countries. First, we estimate the probability that foreign investors target privatized firms in a given country. We show that a favorable legal environment where investor protection is higher enhances foreign investors' participation. Foreigners also prefer large, strategic firms from high‐growth economies and socially stable countries with low political risk. Second, we restrict our analysis to privatized firms that foreign investors actually choose and show that the stakes foreigners hold are larger if the firms are privatized by private sales as opposed to public offerings.     

新医改对商业医疗保险发展的影响

我国新医改经过四年的讨论、研究最终于2009年4月得出了相关的改革意见,这一医改新政对于我国商业医疗保险的发展带来了新的变化，也提供了新的思路和方向。商业保险公司作为第三方参与医保已经得到过一些实践，在新政策下，这样的实践将得到国家政策的支持、在新的形势下商业医疗保险公司应该注重险种的创新以及自身的宣传，为消费者提供更完善的服务，充分做好应对挑战的准备，把握新形势下的机会，使商业医疗保险得到更进一步的发展.     

Affective predictors of the effectiveness of training moderated by the cognitive complexity of expected competencies

Research in training, development and education (TD&E) in organizations has produced important results in the last two decades. Evaluation of TD&E has been a special focus of this research, which has resulted in the production of relevant predictive models. The present study has the aim of testing a model of effectiveness of training on work, with the trainee's motivation and satisfaction with training as the antecedent variables and the type of training as a moderator variable. Data collection with 600 participants in a Brazilian bank was conducted with measurement scales before training, at its end and three months later. The data were analyzed through structural equation modeling. The results indicate that the motivation of the trainee and satisfaction with training are predictors of its effectiveness on work and that the type of training affects this predictive relationship. The key feature of the type of training was the cognitive complexity of expected competencies.     

Value at risk and conditional extreme value theory via markov regime switching models

This study develops a new conditional extreme value theory‐based (EVT) model that incorporates the Markov regime switching process to forecast extreme risks in the stock markets. The study combines the Markov switching ARCH (SWARCH) model (which uses different sets of parameters for various states to cope with the structural changes for measuring the time‐varying volatility of the return distribution) with the EVT to model the tail distribution of the SWARCH processed residuals. The model is compared with unconditional EVT and conditional EVT‐GARCH models to estimate the extreme losses in three leading stock indices: S&P 500 Index, Hang Seng Index and Hang Seng China Enterprise Index. The study found that the EVT‐SWARCH model outperformed both the GARCH and SWARCH models in capturing the non‐normality and in providing accurate value‐at‐risk forecasts in the in‐sample and out‐sample tests. The EVTSWARCH model, which exhibits the features of measuring the volatility of a heteroscedastic financial return series and coping with the non‐normality owing to structural changes, can be an alternative measure of the tail risk. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:155–181, 2008     

Does Trade,Technology, or Education Expel Traditional Sectors? Some Evidence from the Collapse of the Silk Sector in South Korea*

Rapid economic growth and development often drives out traditional activities. We determine how increased trade, technology, and access to education in South Korea led to the collapse of its silk sector. Results show that although the imports of silk yarn and fabric reduced domestic silk output and prices, trade liberalization was not the sole contributor to the collapse. Inelastic labor demand for unskilled workers, skill‐biased technology, and especially increased access to education all led to a sharp rise in the relative wage of unskilled workers, and the ensuing rise in production costs contributed to the silk sector's collapse.