One of the new features of governmental- policy intervention in China’s Cotton circulation since the 1880s is the attempts to control and reduce the cotton supply-demand fluctuation through frequent price adjustment ...One of the new features of governmental- policy intervention in China’s Cotton circulation since the 1880s is the attempts to control and reduce the cotton supply-demand fluctuation through frequent price adjustment made by the system of pricing by the government.This paper will make a case study of the steadiness achieved by the administrative intervention in cotton pricing.Our study indicates that,in dealing with the supply-demand undulation,the adjustment by the government intervention in cotton pricing, compared with that by the market, has shown its lagness instead of any perspectiveness,hence the greater fluctuation.This treatise will provide support in analyzing the policies for the new round of reform of cotton commercialization carried out since 1999.In addition, the article has an analytical significance in case study, in the sense of such general problems as the efficiency of government intervention in the market; the rational demarcation between the role played by the government and by the market without any intervention.展开更多
The structures of numerous industries, including the insurance industry, have been altered by the ongoing development of associated technologies. As the insurance industry undergoes this period of technology transform...The structures of numerous industries, including the insurance industry, have been altered by the ongoing development of associated technologies. As the insurance industry undergoes this period of technology transformation, it is important to recognize the key role that big data play in the industry. Most critically, the industry could not function without the utilization of big data, which explains to a large extent why every insurance company maintains its own numeric database. Relatedly, Taiwan＇s Bureau of National Health Insurance recently established the Information Integration Application Service Center, to which qualified companies and institutions can submit applications for permission to analyze the bureau＇s collected disease data according to stipulated regulations. In effect, access to the center＇s data provides insurance companies with a further means of improving their operational effectiveness through the analysis of big data, with targets for potential improvements including the various strategies utilized to react to changes in the environment, such as those involved in marketing, administrative management, and product pricing and services. The foundation of the present study consisted of a literature review and survey, with the key objective being to determine and discuss the effects of big data analysis on the medical insurance industry, including the changes that the utilization of big data results in for the customers of medical insurance companies. With the issues discussed above in mind, the survey was designed to determine whether medical insurance consumers know about and understand the effects of big data. The survey data indicated the following key findings： （1） The two concepts exhibit clear differences in terms of population statistic wxiables; （2） The two concepts exhibit clear differences in terms of insurance purchasing variables; and （3） The two concepts exhibit clear differences in terms of the level of understanding regarding big data.展开更多
文摘One of the new features of governmental- policy intervention in China’s Cotton circulation since the 1880s is the attempts to control and reduce the cotton supply-demand fluctuation through frequent price adjustment made by the system of pricing by the government.This paper will make a case study of the steadiness achieved by the administrative intervention in cotton pricing.Our study indicates that,in dealing with the supply-demand undulation,the adjustment by the government intervention in cotton pricing, compared with that by the market, has shown its lagness instead of any perspectiveness,hence the greater fluctuation.This treatise will provide support in analyzing the policies for the new round of reform of cotton commercialization carried out since 1999.In addition, the article has an analytical significance in case study, in the sense of such general problems as the efficiency of government intervention in the market; the rational demarcation between the role played by the government and by the market without any intervention.
文摘The structures of numerous industries, including the insurance industry, have been altered by the ongoing development of associated technologies. As the insurance industry undergoes this period of technology transformation, it is important to recognize the key role that big data play in the industry. Most critically, the industry could not function without the utilization of big data, which explains to a large extent why every insurance company maintains its own numeric database. Relatedly, Taiwan＇s Bureau of National Health Insurance recently established the Information Integration Application Service Center, to which qualified companies and institutions can submit applications for permission to analyze the bureau＇s collected disease data according to stipulated regulations. In effect, access to the center＇s data provides insurance companies with a further means of improving their operational effectiveness through the analysis of big data, with targets for potential improvements including the various strategies utilized to react to changes in the environment, such as those involved in marketing, administrative management, and product pricing and services. The foundation of the present study consisted of a literature review and survey, with the key objective being to determine and discuss the effects of big data analysis on the medical insurance industry, including the changes that the utilization of big data results in for the customers of medical insurance companies. With the issues discussed above in mind, the survey was designed to determine whether medical insurance consumers know about and understand the effects of big data. The survey data indicated the following key findings： （1） The two concepts exhibit clear differences in terms of population statistic wxiables; （2） The two concepts exhibit clear differences in terms of insurance purchasing variables; and （3） The two concepts exhibit clear differences in terms of the level of understanding regarding big data.
