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| IDENTIFICATION AND FUNCTION ORIENTATION OF EMPLOYMENT CENTERS IN BEIJING BASED ON THE CENSUS UNIT ANALYZING |
| HU Rui-shan1, WANG Zhen-bo1,2, QIU Fang-dao3 |
1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China;
3. School of Urban and Environmental Sciences, Jiangsu Normal University, Xuzhou 221116, China |
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Abstract The overall spatial feature analysis of the employment-population density was carried out using the Clark model and its derivative negative exponential function. The major centers of employment were identified and their functions were determined by data based on the four-digit used by the National Economic Industrial Classification. The employment-population location quotient and the employment-population ratio of the same industries in Beijing were used to show the industry cluster characteristics and the functions of the centers. In general, most of the employment centers in Beijing had a mono-centric structure; multi-centric structures were uncommon because new employment centres were lack of agglomeration or cluster effects. We identified three major centers of employment (Zhongguancun, Finance Street and the central business district) and 12 other employment centers(e.g. the Shangdi, Capital Airport and Shuguang sub-districts). As a result of agglomeration and cluster effects and the lock-in effect, there were further increases in the density of employment in conventional employment centers with more complicated functions and a distinct differentiation in the type of industry. The centers of employment in Beijing were classified into seven types based on the principles of centers based on the professional population, the employment location quotient and the local proportion of the industry employment in Beijing. These cluster types included large enterprises, the airport, manufacturing industries, wholesale and retail industries, business, finance, and research and education.
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Received: 10 July 2015
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2016, Vol. 31 
