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Liu D.L.,Academy of macroeconomic research
Applied Mechanics and Materials | Year: 2014

Because of population quality and economic development is a comprehensive concept contains multiple indexes, according to the index system of the population quality promoting the economic development we build, this topic uses structural equation modeling (SEM) to estimate causal effect coefficient of Chinese population quality to economic development at different times. © (2014) Trans Tech Publications, Switzerland.


Liu D.J.,Huazhong University of Science and Technology | Liu D.J.,Academy of macroeconomic research
Applied Mechanics and Materials | Year: 2013

The paper measures the economic growth contribution rate by population quality in China by dividing the data into 3 epochs and 3 areas. The paper applies two methods and two time intervals to measure the contribution rate. The results show that the economic growth contribution rate by population quality is nearly 10 percents but the contribution rate is decreasing; the contribution rate is the largest in the east and a bit smaller in the central and west, and the number is 13.27 percents, 6.84 percents and 8.40 percents, respectively. © (2013) Trans Tech Publications, Switzerland.


Zhang Q.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Zhang Q.,University of Chinese Academy of Sciences | Zhang Q.,KTH Royal Institute of Technology | Hu Y.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | And 5 more authors.
Journal of Geographical Sciences | Year: 2012

Urban clusters are the expected products of high levels of industry and urbanization in a country, as well as being the basic units of participation in global competition. With respect to China, urban clusters are regarded as the dominant formation for boosting the Chinese urbanization process. However, to date, there is no coincident, efficient, and credible methodological system and set of techniques to identify Chinese urban clusters. This research investigates the potential of a computerized identification method supported by geographic information techniques to provide a better understanding of the distribution of Chinese urban clusters. The identification method is executed based on a geographic information database, a digital elevation model, and socio-economic data with the aid of ArcInfo Macro Language programming. In the method, preliminary boundaries are identified according to transportation accessibility, and final identifications are achieved from limiting city numbers, population, and GDP in a region with the aid of the rasterized socio-economic dataset. The results show that the method identifies nine Chinese urban clusters, i. e., Pearl River Delta, Lower Yangtze River Valley, Beijing-Tianjin-Hebei Region, Northeast China Plain, Middle Yangtze River Valley, Central China Plains, Western Taiwan Strait, Guanzhong and Chengdu-Chongqing urban clusters. This research represents the first study involving the computerized identification of Chinese urban clusters. Moreover, compared to other related studies, the study's approach, which combines transportation accessibility and socio-economic characteristics, is shown to be a distinct, effective and reliable way of identifying urban clusters. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.


Liu D.J.,Academy of macroeconomic research
Applied Mechanics and Materials | Year: 2013

In order to study the relationship of human capital and economic development, we establish the system dynamics model of human capital and economic development. According to the analysis of the system dynamics causal feedback between human capital and economic development, we build a system dynamics flow chart of human capital and economic development by using system dynamics software Vensim languages and tools, and we simulate the development trend of each index variable in human capital and economic for the future. © (2013) Trans Tech Publications, Switzerland.


Zhang Q.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Zhang Q.,University of Chinese Academy of Sciences | Zhang Q.,KTH Royal Institute of Technology | Hu Y.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | And 5 more authors.
Acta Geographica Sinica | Year: 2011

Urban clusters are the expected products of high levels of industry and urbanization in a country, as well as being the basic units of participation in global competition. With respect to China, urban clusters are regarded as the dominant formation for boosting the China's urbanization process. However, to date, there is no coincident, efficient, and credible methodological system and set of techniques to identify Chinese urban clusters. This research investigates the potential of an computerized identification method supported by geographic information techniques to provide a better understanding of the distribution of China's urban clusters. The identification method is executed based on a geographic information database, a digital elevation model, and socio-economic data with the aid of ArcInfo Macro Language programming. In the method, preliminary boundaries are identified according to transportation accessibility, and final identifications are achieved from limiting city numbers, population, and GDP in a region with the aid of the rasterized socio-economic dataset. The results show that the method identifies nine Chinese urban clusters, i.e., Pearl River Delta, Lower Yangtze River Valley, Beijing-Tianjin-Hebei Region, Northeast China, Middle Yangtze River Valley, Central China Plains, Western Taiwan Strait, Guanzhong and Chengdu-Chongqing urban clusters. This research represents the first study involving the computerized identification of China's urban clusters. Moreover, compared to other related studies, the study's approach, which combines transportation accessibility and socio-economic characteristics, is shown to be a distinct, effective and reliable way of identifying urban clusters.


Zhou K.,Capital Normal University | Shen Y.,Capital Normal University | Ren W.,Academy of Macroeconomic Research
Acta Geographica Sinica | Year: 2011

Under the constraints of special system background and industrial structure in China, the industrial policy of the government can exert a substantial effect on the industry. The policy of service industry has become an important force in promoting the development of service industry in China's transitional economy. However, the existing researches generally adopt a perspective of government institutions. Based on economic statistical analysis or experience judgment, there are relatively few researches on the performance evaluation of service policies from the perspective of service enterprises. To some extent, the enterprises' demands are most effective to scale the policy effects of service industry, because enterprises are the ultimate recipients of various industrial policies, and they are confronted with multifarious changes of policy and market environment directly. By the questionnaire survey of nearly 4000 service enterprises in 31 provinces, 256 cities and 927 counties in China, this paper, in the perspective of cognition and experience of service enterprises, provides the comprehensive evaluation of policy effects and analyzes its influencing factors during the 11th Five-Year Plan period (2006-2010), and then the interaction of policies and service enterprises is discussed tentatively. Finally, some suggestions are made concerning the adjustment and optimization of service industry policies. The result are shown as follows. 1) Policy cognition of China's service enterprises is slightly on the low side during the period 2006-2010, and the low-grade trend is more prominent in western China. The policy cognition degree is significantly affected by annual turnover of enterprises, labor quality, industrial category, industrial status and policy making. 2) Service enterprises are relatively satisfied with the policy of service industry in China, and the satisfaction degree is under the considerable influence of policy cognition, employees quantity, benefit, ownership form, industry status and policy environment. 3) In terms of the interaction of policy and service enterprises, some policies are made correspondingly to achieve the transformation of China's service industry to higher proportion and efficiency, including strengthening the service system reform, perfecting the social security system, keeping the balance between domestic and foreign investment, broadening the coverage of policy supports and constructing the feedback mechanism of policy effects between service enterprises and government institutions.

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