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| 1 | The Impact of Population Aging on Housing Demand in China Based on System Dynamics显示文摘In recent years, the proportion of China's elderly population is gradually increasing, and the real estate market is changing dramatically. Consequently the impact of population aging on housing demand has become increasingly prominent. On the theoretical basis of the relationship between population aging, family structure and housing demand, this paper firstly constructs a system dynamics model of the impact of population aging and family structure on housing demand in China. Then,the model is simulated, and several scenarios of population, family structure, and real estate policies are set up. The main conclusions of this paper are as follows: China's population will rise at first and then decrease, reaching a peak of 1.401 billion by 2023. As the proportion of elderly population increases, the degree of population aging is becoming increasingly serious. The size of the family will gradually shrink to 2.39 people per household in 2050. The housing demand will increase first and then decrease. Through the results of scenario simulation, this paper puts forward the following suggestion to effectively balance the housing demand in China: Completely relaxing family planning policies,imposing a real estate tax, canceling the pre-sale policy, and raising the loan rate. | MOU Xindi LI Xiuting DONG Jichang | 2021 | Journal of Systems Science & Complexity2021，34，1： | 3 |
| 2 | Exploring the Linear and Nonlinear Causality Between Internet Big Data and Stock Markets显示文摘In the era of big data,stock markets are closely connected with Internet big data from diverse sources.This paper makes the first attempt to compare the linkage between stock markets and various Internet big data collected from search engines,public media and social media.To achieve this purpose,a big data-based causality testing framework is proposed with three steps,i.e.,data crawling,data mining and causality testing.Taking the Shanghai Stock Exchange and Shenzhen Stock Exchange as targets for stock markets,web search data,news,and microblogs as samples of Internet big data,some interesting findings can be obtained.1)There is a strong bi-directional,linear and nonlinear Granger causality between stock markets and investors'web search behaviors due to some similar trends and uncertain factors.2)News sentiments from public media have Granger causality with stock markets in a bi-directional linear way,while microblog sentiments from social media have Granger causality with stock markets in a unidirectional linear way,running from stock markets to microblog sentiments.3)News sentiments can explain the changes in stock markets better than microblog sentiments due to their authority.The results of this paper might provide some valuable information for both stock market investors and modelers. | DONG Jichang DAI Wei LI Jingjing | 2020 | Journal of Systems Science & Complexity2020，33，3： | 3 |
| 3 | Synchronous Vibration Suppression of Magnetic Bearing Systems without Angular Sensors显示文摘Active Magnetic Bearing(AMB)levitates rotor by magnetic force without friction,and it can provide active control force to suppress vibration while rotating.Most of vibration suppressing methods need angular speed sensors to obtain rotating speed,but in many occasions,angular speed sensor is difficult to install or is difficult to guarantee reliability.This paper proposed a vibration suppressing strategy without angular speed sensor based on generalized integrator and frequency locked loop(GI-FLL)and phase shift generalized integrator(PSGI).GI-FLL and high-pass filter estimate frequency from control current,PSGI is applied to generate compensating signal.Firstly,model of AMB system expressed by transfer function is established and effect of centrifugal force is analyzed.Then,principle and process of vibration suppressing strategy is introduced.Influence of parameters are analyzed by root locus and bode diagram.Simulation results display the process of frequency estimation and performance of displacement.Experiments are carried on a test rig,results of simulations and experiments demonstrate the effectiveness of proposed vibration suppressing strategy. | Hongbo Sun Dong Jiang Jichang Yang | 2021 | CES Transactions on Electrical Machines and Systems2021，5，1： | 2 |
| 4 | A Study on the Relationship Between Land Finance and Housing Price in Urbanization Process: An Empirical Analysis of 182 Cities in China Based on Threshold Panel Models显示文摘Scholars have a variety of theoretical explanations for housing price growth. However, few scholars have studied the internal influence mechanism among urbanization, land finance, and housing price. Based on the data of 182 prefecture-level cities from 2009 to 2016, this paper studies the influence of land finance on housing price under different urbanization rate levels. The study finds that with the increase of urbanization rate, the effect of land finance on housing price presents a 'U' shape.Specifically, an increase in land finance by 1% results in a corresponding increase in average housing price by 0.18%, with relatively low urbanization rate, 0.06% with medium level of urbanization rate,and 0.38% with high level of urbanization rate. | Meiting HU Jichang DONG Lijun YIN Chun MENG Xiuting LI | 2021 | Journal of Systems Science and Information2021，9，1： | 2 |
| 5 | Evenness is important in assessing progress towards sustainable development goals显示文摘Sustainable development goals(SDGs)emphasize a holistic achievement instead of cherry-picking a few.However,no assessment has quantitatively considered the evenness among all 17 goals.Here,we propose a systematic method,which first integrates both the evenness and the overall status of all goals,to distinguish the ideal development pathways from the uneven ones and then revisit the development trajectory in China from 2000 to 2015.Our results suggest that,despite the remarkable progress,a bottleneck has occurred in China since 2013 due to the stagnant developments in some SDGs.However,many far-reaching policies in China have been targeting these deficiencies since then,providing a perspective on how a country approaches sustainable development by promoting evenness among all SDGs.Our results also indicate that regions with the slowest progress are the developed provinces,owing to the persistent uneven status of all goals.Our study demonstrates the importance of adopting evenness in assessing and guiding sustainable development. | Yali Liu Jianqing Du Yanfen Wang Xiaoyong Cui Jichang Dong Yanbin Hao Kai Xue Hongbo Duan Anquan Xia Yi Hu Zhi Dong Bingfang Wu Xinquan Zhao Bojie Fu | 2021 | National Science Review2021，8，8： | 1 |
| 6 | A survey on network node ranking algorithms:Representative methods,extensions,and applications显示文摘The ranking of network node importance is one of the most essential problems in the field of network science.Node ranking algorithms serve as an essential part in many application scenarios such as search engine,social networks,and recommendation systems.This paper presents a systematic review on three representative methods:node ranking based on centralities,Page Rank algorithm,and HITS algorithm.Furthermore,we investigate the latest extensions and improvements of these representative methods,provided with several main application fields.Inspired by the survey of current literature,we attempt to propose promising directions for future research.The conclusions of this paper are enlightening and beneficial to both the academic and industrial communities. | LIU JiaQi LI XueRong DONG JiChang | 2021 | Science China(Technological Sciences)2021，64，3： | 1 |
| 7 | Humoral immunoreaction induced by TCR DNA vaccine for 13chain of T cell lymphoma显示文摘 | Minzhi Zhang Ziming Dong Jichang Li | 2004 | Vaccine2004，22，： | 1 |
| 8 | An Empirical Research on Metropolitanization and Housing Price Differentiation Based on the Data of 31 Provincial Capitals and Municipalities with Independent Planning Status in China显示文摘Under the background of population aggregation in megacities,some adjustments are made to the urbanization strategy,whose focus is shifted to the development of megacities and megacity clusters.Meanwhile,the housing price differentiation among cities tends to become increasingly serious.This paper,from the perspective of population mobility,takes provincial capitals and municipalities with independent planning status(PCs&MIPSs)as research samples to evaluate the level of housing price differentiation within provincial-level administrative divisions of China,and analyze from the perspective of demand side how the metropolitanization effects regarding the population formed due to population aggregation in megacities affect the housing prices of megacities and the housing price difference between megacities and other cities.The research found that:1)The increasing net inflow of population boosts the housing prices and accelerate the housing price differentiation;2)The impact of the increasing net inflow of population on housing price increases and housing price differentiation has regional heterogeneity and city size heterogeneity;3)The income gap strengthens the effect of population inflow upon the housing price differentiation. | Shengguo LI Xiaodong DING Shijie XU Jichang DONG Zhi DONG | 2022 | Journal of Systems Science and Information2022，10，5： | 0 |
| 9 | Five Factors Model of Leadership显示文摘 | Guoqing Huo Jianming Miao Jichang Dong | 2009 | Journal of Systems Science and Information2009，7，2： | 0 |
| 10 | Research on Prediction and Early Warning of A-Share Market Volatility Based on HAR-Type Models显示文摘Based on the different premium volatility characteristics of various systematic factors in the A-share market, this paper constructs six representative high-frequency volatility prediction models that consider multiple complex risk structures. On this basis, a detailed comparative analysis of the differences in volatility characteristics among various factors is conducted, and the optimal prediction and early warning framework for the A-share market is proposed. Research shows that: 1) The volatility research results only for individual market indexes are not universally representative. 2) The fluctuation characteristics among different systematic factors and their respective optimal prediction model frameworks generally have significant differences, that is, there is no single fixed combination of model parameters. 3) Complex risk characteristics such as long memory, measurement errors, and high-frequency jump fluctuations obviously exist in the A-share market. The optimal forecast and early warning framework for the A-share market can be constructed by a combination of models that consider one or more of the above risk characteristics. The above conclusions have important practical reference value for the risk warning and prevention of the A-share market and the formulation of related policies. | Zhaohao WEI Jichang DONG Zhi DONG | 2023 | Journal of Systems Science and Information2023，11，6： | 0 |
| 11 | Acquisition Discount and Valuation Effect of Private M&As in China显示文摘An acquisition discount can reflect not only the liquidity demands for unlisted targets but also the strategic requirements, management efficiencies and capital allocations for the listed bidders.Based on Officer(2007), the authors choose an acquisition approach to generate an acquisition discount for unlisted targets. In China, unlisted firms are sold at a deeper discount than listed firms. The deeper discount mainly depends on the liquidity demand and the characteristics of the bilateral trading components. Larger bidders tend to pay more, whereas smaller targets are sold at lower discounts. The values of unlisted targets in the TMT industry are underestimated. Furthermore, buying out unlisted targets can significantly increase the abnormal return of public bidders during the announcement period.Deeper discounts or stock payments have a positive effect on the stock values of the bidders, whereas this positive increase will be weakened if the bidder is large or has a previous ownership relationship. | DONG Jichang JIAO Danxiao SUN Xilong | 2017 | Journal of Systems Science & Complexity2017，30，6： | 0 |
| 12 | Measuring China's Real Estate Financial Innovation from the Perspective of Government,Enterprises and the Public:Index Compilation and Its Spatial-Temporal Characteristics Analysis显示文摘In recent years,China has witnessed the rapid development in housing finance,and there have emerged constantly real estate finance innovations;however,there exists no relevant index for measuring the innovations of China's real estate finance.Based on the perspectives of the governments,enterprises and the public,this paper constructs the'innovation index of real estate finance'on a quarterly basis from 2009 to 2019,with the method of empowerment which combines the subjective method(analytic hierarchy process)and the objective one(range coefficient method).It clearly and concretely depicts the innovations in housing finance and the related temporal-spatial characteristics in China since the outbreak of the financial crisis in 2008.The index covers 30 provinces,autonomous regions and municipalities directly under the central government,and analyzes its temporal and spatial characteristics.The findings show that there exist a strong spatial autocorrelation and a big regional difference in innovations. | Jichang DONG Lijun YIN Xiaoting LIU Xiuting LI | 2023 | Journal of Systems Science and Information2023，11，1： | 0 |
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