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A STUDY ON THE SPATIAL DIVISION PATTERN OF RURAL INDUSTRY: TAKING THE TYPICAL AREA OF NANJING METROPOLITAN AREA AS AN EXAMPLE |
SUN Wei1, TIAN Xiu-qin2, YAN Dong-sheng3, WU Jia-wei1, WANG Yue4 |
1. Key Laboratory of Watershed Geography, Nanjing Institute of Geography Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
2. Jiashan Economic and Technological Development Zone Management Committee, Jiaxing 314100, China;
3. Yangtze Industrial Economic Institute, Nanjing University, Nanjing 210093, China;
4. Modern Management Centre, Shanghai 200052, China |
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Abstract China's economy is turning to being high-quality development, and continuous narrowing the gaps across regions has become increasingly important. Rural industrial is an important part of rural regional function, as well as an important driving force for rural revitalization. In this paper, based on the rural industry point of interest data, we adopted circle analysis and nuclear density analysis methods in order to reveal the distribution and diversity pattern of rural industries in the Dongshan-Maoshan sample zone of the Nanjing metropolitan area. The results showed that the current new industries and new formats such as agricultural tourism, cultural and creative industries had started to distribute in rural areas, clustering in the surrounding suburbs and surrounding town centers, as well as obvious layout characteristics along traffic. In general, the spatial distribution of rural industries showed a "distance attenuation" trend, and there were obvious differences among the different industries, indicating the differences in the driving factors of the distribution of different industries. The classification study found that the rural industrial showed a diversified characteristic, the integration development trends of rural industries in the suburbs and township centers were obvious, and the multi-functionality was strong, but the types of the rural industrial in the far suburbs and the fringe areas were relatively single, with agricultural production as the leading factor.
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Received: 23 June 2020
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