资产过亿富人27%已移民 3年超170亿元流外

《中国国际移民报告（2012）》蓝皮书2012年12月发布,报告显示,在中国,＂个人资产超过一亿元人民币的超高净值企业主中,有27%已移民,47%正在考虑移民＂。而近3年至少有170亿元人民币资金流向国外。蓝皮书显示,富豪群体的移民在一定程度上反映了资本外逃的问题。一些人通过投资移民将＂灰色收入＂转移到海外,既可以实现避税,又可以逃避国家法律的追究,也会导致国家财富的大量流失。     

美国经济转好移民重回流中印高学历者担大旗

美国人口普查局19日公布的报告显示，去年美国移民人口略有增加，新增移民大多来自亚洲，其中尤以印度和中国占较大比例，改变了经济衰退前西裔为推动移民人口增长主要动力的趋势。经济学家认为，这一现象说明美国经济正在走出衰退的阴影。     

“引进人才”和“精英移民”

近来,无论是业界还是坊间,关于＂引进人才＂和＂精英移民＂的话题热烈起来。 先说＂引进人才＂。国资委＂大管家＂称,＂央企＂为贯彻国家的＂千人计划＂,拟用5年时间引进海外人才500名。     

跨区域创业：主动应对全球化的重要手段

搜狐的张朝阳、百度的李彦宏、中星微的邓中翰被认为是留学生归国创业的典型。如果站在全球化的角度来看,这些创业者可以称之为跨区域创业者。＂跨区域创业＂的概念出自硅谷学者安娜李·萨克森尼安：硅谷的留学生或移民企业家通     

人类是平的

上湾（Upper BAY）的波涛微笑地拥抱着自由女神，阵阵涛声倾诉Ellis岛移民博物馆记载的历史。江山依旧在，人们照常忙，今朝已别样。两声巨响后，作为美国标志之一的世贸中心大楼轰然倒下，这是载入史册的911事件。     

留学行业进入“互联网+”时代

全球化带来的教育行业最明显的特征是资源共享,信息透明。出国服务业,包括移民和留学在新生的"互联网+"的形态下,如果仍然按照传统的思维去发展,肯定是死路一条。未来,国际教育模式到底是什么样子?邦德教育集团创始人、董事长黄邦德将其描绘成"突破行业,打破国界,     

芬兰维萨拉 高速公路上的天气预报——道路气象热谱地图

何为热谱地图热谱地图是识别不同气象条件下,道路网络温度变化模式的手段道路气象热谱地图的应用1．识别出较热或者较冷的路面会发生在路网的哪部分; 2．识别只使用气象站不明显的危险路段; 3．有选择地除冰策略,避免对较暖区域不必要的处理; 4．确定气象站的最佳位置;     

走进文化混血的大马尼拉

走出菲律宾首都马尼拉机场,感触最深的不是马尼拉的热带风光,而是菲律宾人口的混血现象。西班牙人、华人、马来人、美国人的交互混血是普遍的。人口的混血背后必然是文化的混血,早在四五百年前菲律宾就已成为移民国家,丰富的文化遗存中不管是活性的还是物化的,都有深深的印记。     

三线城市空巢现象给城镇化敲响警钟

《每日经济新闻》日前发表评论员叶檀的文章说,中国出现空巢城市。营口、常州等新现房地产风险的三线城市,说明复制房地产拉动的旧城镇化、工业化模式在中小城市风险极大。这是所有的中小城市面临的相同困境,无法分享城镇化过程中的人口与资金红利,房地产成为无源之水,政府的收入因此缩水。国内一线城市房地产价格上升,海外移民聚居地房价     

文化混血的大马尼拉

走出菲律宾首都马尼拉机场，感触最深的不是马尼拉的热带风光，而是菲律宾人口的混血现象。西班牙人、华人、马来人、美国人的交互混血是普遍的。人口的混血背后必然是文化的混血，早在四五百年前菲律宾就已成为移民国家，丰富的文化遗存中不管是活性的还是物化的，都有深深的印记。游一国而能深领东西文化风骚，也就是菲律宾了。大马尼拉就是这种文化特征的典型代表。     

大唐电信：赢在平台

在金融与安全产业、移动互联网产业方面,大唐电信将在现有基础上,取得行业领先地位,并在细分领域成为主流供应商;在物联网和三网融合产业方面,大唐电信的业务将遍地开花,用＂大终端＋大服务＂的整体解决方案全面迎接智慧城市、智能商业中心等各种大规模行业应用时代的到来。     

A Statistical Analysis Between Consumer Behavior and a Social Network Service: A Case Study of Used-Car Demand Following the Great East Japan Earthquake and Tsunami of 2011

When a large-scale disaster hits a community, especially a water-related disaster, there is a scarcity of automobiles and a sudden increase in the demand for used cars in the damaged areas. This paper conducts a case study of a recent massive natural disaster, the Great East Japan Earthquake and Tsunami of 2011 to understand those car scarcities and demand in the aftermath of the catastrophe. We analyze the reasons for the increase in demand for used cars and how social media can predict people’s demand for used automobiles. In other words, this paper explores whether social media data can be used as a sensor of socio-economic recovery status in damaged areas during large-scale water-related disaster-recovery phases. For this purpose, we use social media communication as a proxy for estimating indicators of people’s activities in the real world. This study conducts both qualitative analysis and quantitative analysis. For the qualitative research, we carry out semi-structured interviews with used-car dealers in the tsunami-stricken area and unveil why people in the area demanded used cars. For the quantitative analysis, we collected Facebook page communication data and used-car market data before and after the Great East Japan Earthquake and Tsunami of 2011. By combining and analyzing these two types of data, we find that social media communication correlates with people’s activities in the real world. Furthermore, this study suggests that different types of communication on social media have different types of correlations with people’s activities. More precisely, we find that social media communication related to people’s activities for rebuilding and for emotional support is positively correlated with the demand for used cars after the Great East Japan Earthquake and Tsunami. On the other hand, communication about anxiety and information seeking correlates negatively with the demand for used cars.     

A New Type of Computer Premium and Its Correlation to Individual Wages

This paper examines statistical correlations between workers?? income levels or wages, and Information and Communication Technology (ICT). The analyzed data set is micro data collected through the Web in 2008 and 2010 by the Research Institute for Socionetwork Strategies. This micro data estimates the rank correlation of income classes with respect to three types of ICT labor service. Next, multiple linear regression functions are estimated for the wage levels with respect to age, sex, years of continuous employment, and three types of ICT labor service over all industries and in the manufacturing industry or service industry. Finally, a multiple regression analysis is conducted for individual utility levels with respect to income, leisure, and three types of ICT labor service. The results show that, first, the coefficients of rank correlation for all pooled data are positive and statistically significant. Second, individual ICT labor services have positive effects on workers?? wage levels, and the partial regression coefficients are statistically significant. Third, the partial regression coefficient of personal computer operation time decreased but the partial regression coefficient of mobile computer operation time related to work increased drastically from 2008 to 2010. Fourth, the use of the personal and mobile computer shifts the utility function upward with respect to income and leisure.     

从海淀文联换届选举看中国艺术的文化力量——记海淀区文学艺术界联合会第三次代表大会

在推动文化大繁荣大发展的时代背景下．海淀区文学艺术界联合会召开了第三次代表大会。会议审议通过了海淀文联工作报告．修订了《海淀区文学艺术界联合会章程》，选举产生了新一届领导机构。从一个区域的活动，我们看到了中国艺术的文化力量。     

海淀：科技金融助推中小企业腾飞

海淀一直把解决中小企业融资难作为科技金融创新的重点之一，积极促进科技与资本的对接，鼓励金融机构开展金融服务创新。     

Impact of Online Customer Reviews on Sales Outcomes: An Empirical Study Based on Prospect Theory

This study examines the influence of the valence of online customer reviews on sales outcomes based on prospect theory. Numerous studies have revealed the importance of customer reviews in online marketing. However, only few studies have explored the impact of online customer reviews on sales outcomes in the dynamic process. Prior studies in behavioral economics literature have indicated that people differently value gains and losses and that losses have more emotional impact than an equivalent amount of gains. This study verifies whether prospect theory applies to the relation between online customer reviews and sales outcomes. Relevant data were collected from Amazon.co.jp, and three statistical models were employed to investigate the relation between the two factors. Major findings confirm that negative customer reviews considerably impact online sales than positive reviews. Furthermore, the findings indicate that the marginal effects of positive and negative reviews decrease with the increase in their volume. The results of this study will enable marketers to compare the relative sales effects of different types of customer reviews and improve the effectiveness of customer service management.     

A Pricing Strategy with Consumption Externality when the Reference Group is Large

This paper provides an analysis of firms’ optimal prices when individual utility exhibits both material and other consumer effects. We construct a model and conduct an analysis in the following four steps: (1) By using a conjoint analysis of data, we set up a hierarchical Bayesian model and estimate its parameters, which are composed of individual utility functions. (2) We calculate the number of sales in each time period and derive the total sales throughout the given period. (3) We estimate the demand functions in the presence and absence of consumption externalities. (4) Finally, we calculate the profit functions and derive the optimal prices taking into account various product attributes. By applying our analysis to the book market of Japan, we find that the optimal price is lower when an externality is present than when absent. The intuition behind this result is that pricing low and selling a large number of books from an early stage increases the externality effect, yielding a higher profit for firms.     

The Future of Socionetwork Strategies

In the first stage of creating technological improvements for a democratic society, the leaders of the Society of Socionetwork Strategies have conducted statistical research on the effect of information and communication technology on the global economy. In the second stage, younger professors, based on their Positive Studies, have leapt into a multi-agent simulation of Grid Computing. In the third stage, a terra-bite scale of social data-collecting and the mining of large-scale data in our real world will be next. The next generation of scientists will share knowledge and intellectual inquiry in the fields of statistics, mathematics, and the social sciences with the help of computers connecting such scholars from all over the world.     

Facebook Content Strategies and Citizens’ Online Engagement: The Case of Greek Local Governments

This paper analyzes the communication strategies used by Greek local governments through the utilization of Web 2.0 technologies, specifically Facebook, and the effectiveness of these strategies in relation to citizens’ online engagement. More specifically, it examines Facebook communication strategies and levels of citizens’ engagement. For this purpose, we conducted a content analysis on the active and official Facebook pages of local municipalities in Greece from January 2017 until the end of September 2017. Our results suggest a rise in the percentage of active Facebook pages maintained by local governments in comparison to our 2014 study. Our results also show that local governments in Greece are using Facebook in a predominantly top-down manner to promote events organized by the municipality and to push one-way information to citizens about their services and actions. Local authorities have, however, made significant progress in relation to posts that support transparency and accountability and that enhance or mobilize citizens’ participation. Our evaluation of local government Facebook strategies indicates that marketing the municipality to external public, such as tourists, and providing information about services are effective strategies that drive citizens’ online attitude expression (liking), engagement (commenting), and advocacy behavior (sharing). According to our analysis, local governments in Greece prefer the strategies that we found to be the least engaging. In addition, our study provides interesting details of how specific characteristics and modes of Facebook messages (photos, videos, URLs, hashtags, and mentions) impact on citizens’ engagement. Finally, our results provide valuable insights for social media managers in local government who aim to increase the impact of their municipal Facebook pages.     

于庆洲：在希望的“金山”上

金山顶尖的业务集中在应用软件开发、信息技术服务和信息系统集成等三个领域,用户遍布石油、石化、电力、教育、核能等行业。此外,金山顶尖还是Microsoft的解决方案合作伙伴、服务供应商、金牌认证合作伙伴以及大客户经销商（Dlar）,成为HP、IBM、Oracle、SonicWALL、DELL、神码网络等知名IT企业的增值服务商、系统集成商和战略合作伙伴。