This paper studies the trend in which industrial enterprises’benefits allocation pattern changed,and the reasons for those rapid changes in China from 1997 to 2007.The results reveal that the benefits allocation patt...This paper studies the trend in which industrial enterprises’benefits allocation pattern changed,and the reasons for those rapid changes in China from 1997 to 2007.The results reveal that the benefits allocation pattern of industrial enterprises in China changed rapidly during the periods of 1998-2000 and 2003-2007.This paper discovers that the ramifications of state-owned enterprises’three-year reform plan,aimed at getting themselves out of a dire economic predicament,are the main reasons for the rapid changes in industrial enterprises’benefits allocation pattern from 1998 to 2000.The structural changes in ex-factory price of industrial products from 2003 were the main reason benefits allocation patterns of industrial enterprises changed in favor of capital during 2003-2007.展开更多
In recent years, with the development of smart devices, mobile users can use them to sense the environment. In order to improve the data quality and achieve maximum profits, incentive mechanism is needed to motivate u...In recent years, with the development of smart devices, mobile users can use them to sense the environment. In order to improve the data quality and achieve maximum profits, incentive mechanism is needed to motivate users to participate. In this paper, reputation mechanism, participant selection, task allocation and joint pricing in mobile crowdsourcing system are studied. A user reputation evaluation method is proposed, and a participant selection algorithm(PSA) based on user reputation is proposed. Besides, a social welfare maximization algorithm(SWMA) is proposed, which achieves task pricing with maximizing the interests of all parties, including both task publishers and mobile users. The social welfare maximization problem is divided into local optimization sub-problems which can be solved by double decomposition. It is proved that the algorithm converges to the optimal solution. Results of simulations verify that algorithms PSA and SWMA are effective.展开更多
文摘This paper studies the trend in which industrial enterprises’benefits allocation pattern changed,and the reasons for those rapid changes in China from 1997 to 2007.The results reveal that the benefits allocation pattern of industrial enterprises in China changed rapidly during the periods of 1998-2000 and 2003-2007.This paper discovers that the ramifications of state-owned enterprises’three-year reform plan,aimed at getting themselves out of a dire economic predicament,are the main reasons for the rapid changes in industrial enterprises’benefits allocation pattern from 1998 to 2000.The structural changes in ex-factory price of industrial products from 2003 were the main reason benefits allocation patterns of industrial enterprises changed in favor of capital during 2003-2007.
基金supported by the National Natural Science Foundation of China (61170322)Postgraduate Education Reform Project of Jiangsu Province (JGZZ19_038).
文摘In recent years, with the development of smart devices, mobile users can use them to sense the environment. In order to improve the data quality and achieve maximum profits, incentive mechanism is needed to motivate users to participate. In this paper, reputation mechanism, participant selection, task allocation and joint pricing in mobile crowdsourcing system are studied. A user reputation evaluation method is proposed, and a participant selection algorithm(PSA) based on user reputation is proposed. Besides, a social welfare maximization algorithm(SWMA) is proposed, which achieves task pricing with maximizing the interests of all parties, including both task publishers and mobile users. The social welfare maximization problem is divided into local optimization sub-problems which can be solved by double decomposition. It is proved that the algorithm converges to the optimal solution. Results of simulations verify that algorithms PSA and SWMA are effective.
