组织机构代码数据深度挖掘在城市经济决策中的作用浅析

数据挖掘技术的出现为组织机构代码办证过程中积累原始数据的深层次开发应用提供了一种可行的手段。文章介绍了数据挖掘在组织机构代码工作中的使用目的和实现方法,并结合实际数据详细分析了代码信息的应用,希望通过对代码数据的挖掘为决策者提供有用的信息参考。     

Panel unit root tests under cross-sectional dependence

In this paper alternative approaches for testing the unit root hypothesis in panel data are considered. First, a robust version of the Dickey-Fuller t -statistic under contemporaneous correlated errors is suggested. Second, the GLS t -statistic is considered, which is based on the t -statistic of the transformed model. The asymptotic power of both tests is compared against a sequence of local alternatives. To adjust for short-run serial correlation of the errors, we propose a pre-whitening procedure that yields a test statistic with a standard normal limiting distribution as N and T tends to infinity. The test procedure is further generalized to accommodate individual specific intercepts or linear time trends. From our Monte Carlo simulations it turns out that the robust OLS t -statistic performs well with respect to size and power, whereas the GLS t -statistic may suffer from severe size distortions in small and moderate sample sizes. The tests are applied to test for a unit root in real exchange rates.     

Fruits and vegetables availability for human consumption in Latin American and Caribbean countries: Patterns and determinants

Inadequate intake of fruits and vegetables (F&V) is one of the leading causes of chronic diseases in the world. This study examined the patterns and determinants of F&V availability for human consumption in Latin American and Caribbean countries between 1991 and 2002. The results showed that there were considerable disparities between and within countries and only one-third of the sampled countries (if only 20% wastage is assumed) could achieve the World Health Organization’s recommendation of 146 kg of F&V intake/capita/year. The elasticities estimated from a fixed effect regression also showed that income, urbanization, price, and poverty were some of the important factors that affect the long-term availability of F&V.     

外部性与产业增长——来自中国省级面板数据的研究

本文利用我国29个省、市、自治区25个产业的面板数据研究了外部性对于地区产业增长的影响,结果发现:在全国样本范围内,专业化水平与产业增长之间存在着负向关系;竞争程度与地区产业增长之间存在着正向关系;多样化程度与产业增长之间存在着一种非线性关系,当多样化程度较低时,多样化不利于产业增长,而当多样化水平较高时,多样化则会促进产业增长。在分地区分产业的分析中,产业多样化水平对经济增长的作用在很大程度上取决于产业的性质(高度规模经济产业或低度规模经济产业)及产业的地理区位(沿海地区或内陆地区)。     

Efficiency outcomes of market concentration and managed care

The paper examines how hospital cost efficiency has reacted to extensive horizontal integrations of hospitals and rapid growth of managed care in the US health care industry. Cost efficiency is estimated by using panel data approaches to relax the assumptions for the hospital effects imposed in earlier studies. The paper shows that higher managed care penetration over time is associated with greater hospital efficiency, and higher market concentration is positively associated with efficiency when markets are highly competitive or highly concentrated.     

How talent capability can shape service analytics capability in the big data environment?

We know very little about how big data-driven service analytics capabilities (SAC) are built in data-driven service organizations and the potential role of talent capability in facilitating overall SAC and the impact of both on firm performance (FPER). Drawing on the dynamic capabilities (DC) approach, this study investigates the link between SAC and FPER examining the mediating role of talent capability and the moderating influence of a firm’s strategic alignment. On the basis of two Delphi studies and survey data from 267 service analysts in the US and France, the findings show that even though SAC are built on technology, talent and information capabilities, their overall impact on firm performance is mediated by the level of talent capability of service analytics managers. The findings also confirm the critical moderating impact of strategic alignment between dynamic talent capability and firm performance in the big data environment.