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1. An Analysis of the Motivation of Online Sharing Behaviors and an Introduction of the Viral Communication Model | |||
Yu Shubin,Frederik Truyen | |||
Economics 18 January 2014 | |||
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Abstract:This paper analyzes the viral communication form of videos, texts and images, and concludes the motivation of online sharing behaviors. Based on the survey conducted by New York Times, supplementary early theories of Ralph F. Wilson and additional content analysis, six motivations of sharing behaviors are concluded in the first part. As for the second part of this paper, by studying a number of viral videos and images that have gained great popularity recently, it concludes the influential factors that contribute to their prevalence, and proposed the Viral Communication Model, which consists of one core element and four auxiliary elements. There are Content, Strategy, Media, Technique and Feedback respectively.????? | |||
TO cite this article:Yu Shubin,Frederik Truyen. An Analysis of the Motivation of Online Sharing Behaviors and an Introduction of the Viral Communication Model[OL].[18 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4581659 |
2. The Effects of Monetary Policy Instruments on Bank Risks in China | |||
Geng Zhongyuan,Zhai Xue | |||
Economics 21 January 2013 | |||
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Abstract:The effects of monetary policy on bank risks has become a hot issue since the 2008 international financial crisis. A panel data regression model is used to examine effects of main monetary policy instruments on commercial bank risks in China from 1998 to 2011.The main findings are as follows. The interest rate has a positive effect on bank risk while the interest rate margin, the reserve requirement ratio and open market operation have a negative effect. Among the three monetary policy instruments, the reserve requirement ratio has the greatest effect on bank risk, the interest rate (the interest rate margin) the second largest and the open market operation the weakest. These findings provide guidance to the monetary authority and regulatory authorities in monetary policy and banking regulation in China. | |||
TO cite this article:Geng Zhongyuan,Zhai Xue. The Effects of Monetary Policy Instruments on Bank Risks in China[OL].[21 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4517114 |
3. Preliminary Study on Analysis and Prediction Model Establishment of Employment in China | |||
Chu Zhaoxiang,Cheng Gaofeng | |||
Economics 09 December 2009 | |||
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Abstract:Based on analyzing the economic development and employment situation of China in recent years, we selected 11 pairs of economic and social indicators which had significant impact on employment. Statistics on various indicators were analyzed by SPSS software with the method of principal component analysis. The results show that there are three main components and five main economic indicators which have a great impact on Chinese employment. The principal component of national macroeconomic activity includes: total amount of revenue and expenditure, fixed assets investment; The principal component of enterprise economic activity includes: imports and exports, electricity consumption; The production (PPI)-Consumer (CPI) main components includes: consumer price index. Then we analyzed the main indicators impacting on employment by multiple non-linear regression analysis and established the prediction model about the quantity of employment in a year of China. | |||
TO cite this article:Chu Zhaoxiang,Cheng Gaofeng. Preliminary Study on Analysis and Prediction Model Establishment of Employment in China[OL].[ 9 December 2009] http://en.paper.edu.cn/en_releasepaper/content/37361 |
4. Impact of Privatization on Public Enterprises Case of Tanzania | |||
Paschal,Ge Jiuyan | |||
Economics 11 January 2007 | |||
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Abstract:It’s more than a decade now since Tanzania embarked upon comprehensive programme of restructuring public enterprises through privatization. During this period privatization has shown both success and failure to the economy. The success seems to outweigh the failure. Success can be measured by number of enterprises that have already been divested, performance of the firms, particularly those involved in the supply of public utilities which for the time being remain in the public sector domain, and the degree of competition enhanced by privatization in general. Failure seems to hinge primarily on the retrenches. This factor calls for further research to quantify the exact amount of loss job opportunities, since there are cases where divesture led to an increase in job opportunities. Indeed there are also cases where some of the retrenched were redeployed. | |||
TO cite this article:Paschal,Ge Jiuyan. Impact of Privatization on Public Enterprises Case of Tanzania[OL].[11 January 2007] http://en.paper.edu.cn/en_releasepaper/content/10677 |
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