中关村北移重地——永丰

20世纪90年代以来,我国电子信息产业以3倍于GDP增长的速度高速发展。2003年,我国电子信息产业销售收入达1．88万亿元,比2002年增长了34％。北京是我国信息产业发展的核心地区之一,     

重税主义将毁掉中国转型大计

财经网日前发表评论家马光远博士的文章说，概括中国经济2010年的表现，有两个特点非常突出：一是GDP增长重新回到快车道；二是财政收入同比增长20％以上，首次突破8万亿元的大关已成定局。     

解读万亿GDP背后的“海淀密码”

<正>北京海淀的基因一直是创新,更难能可贵的是,海淀的万亿GDP,是坚持绿色减量发展中实现的万亿,是协同开放发展中实现的万亿,更是在科技创新发展中实现的万亿。新年伊始,万象更新。每年年初,都是各地提交“经济答卷”的时刻。2月2日,北京市海淀区召开2022年经济运行情况专题新闻发布会,会上传来令人振奋的消息：2022年,海淀区地区生产总值顺利突破万亿元大关,达10206.9亿元,成为全国第二个经济总量突破万亿元的市辖区。     

央企扩张之忧

某些国有垄断企业不过是一些由政府的限制性政策供养着的＂食利者＂而已。2011年,央企在各地投资不少于11.38万亿元。而对全国27个省区市（不含北京、上海、西藏）国资委、发改委网站所披露的央企地方合作数据（协议金额）所做的不完全统计显示,2008～2011年4年间,央企在地方投资增长了42倍。2009年、2010年和2011年,央企在地方投资披露总额分别为：2.81万亿元、5.12万亿元和11.38万亿元。     

中关村企业总收入预计将超过2．3万亿元

中关村管委会预计，2012年全年中关村企业将实现总收入超过2．3万亿元，同比增长20％以上：实现增加值占北京市的比重有望达N20％，对首都经济增长的贡献率达25％左右。     

如此税收,哪里还有“章法”可言

财经网日前发表安邦咨询的文章说,国税总局1月16日发布的数据显示,2012年,全国税收收入完成11.07万亿元(不包括关税和船舶吨税,未扣减出口退税),比2011年增长11.2%,增收1.12万亿元。财政部此前发布的数据显示,2012年前11个月,全国税收收入累计达9.36万亿元,较2011年同期增长9.8%。将全年税收收入与前11个月的数据相减,我们不难得出,2012年12月,全国税收收入当月新增1.71万亿元,较上     

“数”说中关村科技创新的力量

中关村的专利开发数量只要每年比上一年增长1个,将带动海淀区GDP增长516元;中关村的技术合同成交规模只要每年比上一年增长1元,将带动海淀区GDP增长584元。在我国,中关村国家自主创新示范区是公认的自主创新的发源地和集聚地。在当前转方式、调结构、建设创新型国家的背景下,科技创新已经成为经     

我们的城市化大大落后于工业化

财新网报道：北京大学国家发展研究院教授周其仁表示，中国的城市化率仅为工业化率的1．09倍，相比西方发达国家和其他金砖国家，中国的城市化滞后、工业化超前，这种严重的不匹配，造成诸多问题，亟待解决。周其仁表示，2010年，全世界城市化率为50．9％，工业化率为26％，即GDP中工业生产占比只有26％。     

身在“朝廷”,何必论“国企”“民营”

＂人老谢事,古之礼也＂。有央企＂大管家＂之雅号的李荣融先生终于到了不可抗拒的退休年龄。＂大管家＂的政绩可谓辉煌,7年间,央企总数从国资委初创时的196户,调整为目前的123户;央企的资产规模由7万亿元增益到21万亿元，累计上缴税金达到5．4万亿元，成为国民经济体系中的核心主体。     

让我们都来创业创新

进入2015年的门槛,中国的经济形势陡然严峻起来。2014年的GDP增长值7.4%,应该是25年来最低值,没有达到预定目标。2015年1月,中国制造业采购经济指数为49.8%,比上月下降0.3个百分点,跌破50%的枯荣线。另一个重要支柱房地产已然萎靡,不可能再像前些年一样扶摇直上。国务院近期已批准总投资额逾10万亿元的基建项目,这个数额是上届政府2008年底为应对当时爆发的全球金融危机对中国经济的冲击而紧急推出的著名的"4万亿"的两倍半还多。然而,经济学家们分析,这也不足以阻遏中国经济的下行势头。     

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。     

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.     

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.     

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.     

中关村西区业态调整又上一层楼

2012年5月28日上午,中关村国际数字设计中心举行揭牌仪式。该中心的启用是海淀区实施中关村西区业态调整的一个重要成果。把电子卖场改造成新兴产业创新要素的聚集区,对周边楼宇的产业转型和升级具有一定的带动和示范作用。市科协党组书记常务副主席夏强、海淀区委副书记、代区长孙文锴、中关村科技园区管理委员会副主任王汝芳、区委常委、宣传部长陈名杰等有关单位领导参加了揭牌仪式。     

The Role of Cross-Border Networks of Skilled Labor in Offshore Outsourcing: Empirical Evidence Based on the Network Theory

This study investigates the determinant role of the cross-border movement of skilled labor in the expansion of service trade between the US, and both developed and developing countries. For this purpose, we employ the key concepts of network theory as an analytical framework and conduct panel data analysis and graphical modeling analysis for 31 countries from 1999 to 2008. In this decade, offshore outsourcing in the service trade took off worldwide. We use data for each country’s service exports to the US, number of H-1B visas issued, GNI per-capita, network readiness index, and an English dummy for the official language. We illustrate the trajectory and interactions between these factors. These analyses yield three observations. First, service trade with the US is more intensive among higher income countries. Second, the number of H-1B visas issued has a positive effect on service exports to the US. Third, individuals in lower income countries tend to desire H-1B visas and create intensive skilled labor networks with the US, the path through which developing countries such as India expanded their service exports to the US.     

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 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.     

Personal Identification Through Pedestrians’ Behavior

This article focuses on a new approach for personal identification by exploring the features of pedestrian behavior. The recent progress of a motion capture sensor system enables personal identification using human behavioral data observed from the sensor. Kinect is a motion sensing input device developed by Microsoft for Xbox 360 and Xbox One. Personal identification using the Microsoft Kinect sensor (hereafter referred to as Kinect) is presented in this study. Kinect is used to estimate body sizes and the walking behaviors of pedestrians. Body sizes such as height and width, and walking behavior such as joint angles and stride lengths, for example, are used as explanatory variables for personal identification. An algorithm for the personal identification of pedestrians is defined by a traditional neural network and by a support vector machine. In the numerical experiments, pictures of body sizes and the walking behaviors are captured from fifteen examinees through Kinect. The walking direction of pedestrians was specified as 0°, 90°, 180°, and 225°, and then the accuracies were compared. The results indicate that identification accuracy was best when the walking direction was 180°. In addition, the accuracy of the vector machine was better than that of the neural network.     

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.