运用经济杠杆促进错峰调荷——安徽省峰谷电价分析

阐述了安徽省峰谷电价的实施背景、方案的主要内容和创新特点,2004年上半年的实际执行情况及取得的效果。结合安徽省实际情况,对下一阶段如何优化峰谷电价方案、进一步发挥价格杠杆作用提出了建议。     

中国不同省份金融结构转变与产业结构升级关系的实证研究

随着我国社会主义市场经济改革的不断深入，现有金融结构已不能适应经济发展。本文从金融结构调整的角度出发，对中国较发达地区，欠发达地区以及基于全国的数据进行面板回归。通过对实证结果的分析，得出金融结构调整对产业结构调整并不是简单线性关系的结论，金融结构调整应有合理的范围，当金融结构在其范围内变化时，能够促进经济的增长，当金融结构的调整超过合理范围时，金融功能的负作用会逐渐增强，当负作用积累到一定程度，会对经济的发展起到阻碍作用，我国各省份应根据自己的实际发展情况和自然禀赋，选择合适的金融结构和经济发展模式。     

基于VAR模型的我国铜锌期货价格引导关系实证研究

铜、锌期货是大宗金属期货的重要品种，在期货投资市场上广受追捧。研究通过构建VAR模型，运用格兰杰因果检验，分析了近远月铜、锌期货价格之间相互引导关系，模型实证结论认为远月期铜、锌期货价格之间具有显著的相互引导关系，为期货市场上各类型投资者提供政策指引。     

Ratio-based design hour determination for airport passenger terminal facilities

To avoid both over-design and under-sizing of airport passenger terminal facilities such as security checkpoints, the infrastructure is designed for a specifically determined design load. As such, the design load is considered for a short period of time, usually an hour of operation, during which peak, though not necessarily maximum, demand occurs. For strategic planning applications, future design loads can be determined by either fictitious flight schedules or ratio-based models which forecast the relationship between design load and annual demand. This study presents two ratio-based methods which allow the direct determination of design hour loads (DHL) for passenger terminal facilities. The unsaturated DHL model considers the relationship between observed passenger flows in the terminal and aggregated annual demand data. The saturated DHL model includes several operational constraints which limit the actual DHL, such as limitations in the runway system or the fleet mix operating at an airport. Both models are applied to two real-world airports, for which the DHL of the security checkpoint facilities is estimated from large datasets covering multiple years. Results are significant at the 5 % level and suggest that the proposed ratio-based methods are appropriate for airport strategic planning applications.     

对江苏省电力负荷进行回归预测

本文主要根据2001-2011年江苏省用电量样本数据,建立了江苏省电力负荷与人均GDP、工业化以及人口数之间的多元回归预测方程,并预测了江苏省2014-2020年总用电量数据,在此基础上提出了相应的建议。     

On the tourism-led growth hypothesis in the UAE: a bootstrap approach with leveraged adjustments

The emerging market of the UAE has chosen attracting international tourism as one of the main strategies during the recent decades in order to diversify its economy. The main goal has been to achieve sustainable growth without overreliance on the volatile oil sector. This article investigates the impact of tourism on economic performance in the UAE by using bootstrapped causality tests with leverage adjustments. The results show that the tourism-led growth hypothesis can be supported empirically. Thus, the conducted policy by the UAE government to promote international tourism for achieving economic growth might be considered as a sustainable strategy.     

Does Medical Equipment Expansion Lead to More Diagnostic Services? Evidence from China’s Sichuan Province

A major goal of China’s healthcare reform is to control the increasing healthcare spending, much of which can be attributed to the overuse of diagnostic tests and has been relatively less studied in the literature. This article analyzes the correlation between medical equipment expansion and the increase in diagnostic test expenditure in China, using Sichuan Province as an example. County-level data aggregated from hospitals’ annual reports in Sichuan Province from 2008 to 2012 were used. The results show a positive correlation between the expansion of medical equipment and the increase in diagnostic test expenditure. Our study provides implications on reforming China’s healthcare delivery system and medical equipment regulation policies.     

Do regional house prices converge or diverge in China?

This paper aims to test whether the regional house prices are convergent or divergent in China using a monthly panel data set of China’s 70 large and medium-sized cities from July 2005 to December 2010. This issue is closely related to understanding the efficiency of the country-level housing policies made by China’s central government. The test results suggest that the regional house prices in China are generally divergent, and thereby the country-level policies may be inefficient since they do not explicitly take the strong heterogeneity of China’s regional housing markets into consideration. As a consequence, it may be better for China’s central government to further decentralize and devolve its governance toward the housing market to the local governments.     

Unbundling the differences between Psychic and Cultural Distance: An empirical examination of the existing measures

The diversity between the country-scores of Hofstede, Schwartz, GLOBE, Håkanson and Ambos and Dow and Karunaratna is the main focus of this study. To investigate the correlation between the country-scores of these CD (Cultural Distance), pPD (perceived Psychic Distance) and PDs (Psychic Distance stimuli) instruments we apply the Mantel test, a test predominantly used in anthropology and genetics, which can be particularly insightful when examining “distance” data. The matrix correlation findings provide evidence supporting the high diversity between these measures and their lack of consistent results for the same countries. Therefore, despite the similarity between the way of conceptualizing and operationalizing CD that Hofstede, Schwartz and GLOBE share, these CD measures do not report consistent findings. Consistently, the lack of correlation, between the PDs measure of Dow & Karunaratna and pPD of Håkanson & Ambos, indicates the diversity between PD stimuli measures and perceived PD measures. At the same time, while the two Psychic Distance (PD) measures indicate high correlation in some cases, overall they are highly diverse from the CD measures. We argue, therefore, that identical studies could reach significantly different conclusions by simply using different measures of CD,pPD&PDs which then denotes significant implications for the reliability of research findings. Additionally, we point out potential weaknesses of these measures when examining culturally proximate countries and multicultural nations.     

The use of open source internet to analysis and predict stock market trading volume

The objective of this paper is to evaluate the impact of information demand and supply on stock market trading volume. Few studies have demonstrated the role of Google search data in analyzing trading volume activity. In this study, we employ a proxy for information demand which is derived from weekly internet search volume. The latest is from Google Trends database, for 25 of the largest stocks traded on CAC40 index, between April 2007 and March 2014. We use news headlines as a proxy for information supply. We use Garch model to analyze and predict trading volume.The empirical results present new evidences. First, information supply has an impact on trading volume but information demand's impact is much more important. Secondly, by applying MCA to results found, it could be concluded that the impact of public information on transaction volume is conditioned by two elements: the firm and market news disclosure and the second element relates to the characteristics of the market participants, more precisely their news interpretations and their risk aversion. Thirdly, we used Chow structural break test to verify the stability of our model. We found that for securities with structural changes, information demand is the responsible variable of the change in our model. Finally, we found that information variables have a predictive power on transaction volume.This paper contributes to existing literature by incorporating open source internet-based data into the analysis and prediction of transaction volume. Using internet information about the stock market, which has appeared recently as an interesting research for financial empiricists, computer scientists and practitioners, will have a very important utility because quantifying demand and supply of information becomes possible.