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ZHU Zhiqing, KONG Xuesong, LI Yajing. Identifying the Static and Dynamic Relationships Between Rural Popu-lation and Settlements in Jiangsu Province, China[J]. Chinese Geographical Science, 2020, 30(5): 810-823. doi: 10.1007/s11769-020-1150-z
Citation: ZHU Zhiqing, KONG Xuesong, LI Yajing. Identifying the Static and Dynamic Relationships Between Rural Popu-lation and Settlements in Jiangsu Province, China[J]. Chinese Geographical Science, 2020, 30(5): 810-823. doi: 10.1007/s11769-020-1150-z
shu

Identifying the Static and Dynamic Relationships Between Rural Popu-lation and Settlements in Jiangsu Province, China

doi: 10.1007/s11769-020-1150-z

  • 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;

  • 2. Key Laboratory of Geographic In-formation System, Ministry of Education, Wuhan University, Wuhan 430079, China

Funds:

Under the auspices of the National Natural Science Foundation of China (No. 41871182), the National Key Research and Development Program of China (No. 2018YFD1100801).

  • Received Date: 2020-01-16
  • Rev Recd Date: 2020-05-12
  • Rapid urbanization has triggered large rural population floating into cities, which in turn affects rural human-land relationships. The actual human-land relationship involves the coupling level of a time point and dynamic change of a time interval. However, few studies have identified the rural human-land relationship from these two perspectives. This study combined static coupling analysis with a dynamic decoupling model to analyze the relationships between rural population and settlements from 2009 to 2018 in Jiangsu Province, China. Although the static coupling degree in Jiangsu Province was relatively high, the decoupling analysis found that the rural human-land relationship in most counties was uncoordinated. There were 11 combination types based on the coupling and decoupling relationships. The most common two types (accounting for 76.74%) were recession decoupling with high-level coupling and strong decoupling with high-level coupling. Although the majority of counties had a high-level coupling degree, an uncoordinated change in rural population and rural settlements was observed in these counties. Counties with relatively reasonable human-land relationships accounted for only 12.79% of the total. The combination features for each type were identified and differential policies were proposed for optimizing human-land relationship in rural areas. This study would contribute to our understanding of the multiple relationships between rural population and settlements involved in different patterns and processes, and expect to provide theoretical and methodological support for promoting rural revitalization and sustainable development in practice.
  • [1] Angel S, Parent J, Civco D et al., 2011. The dimensions of global urban expansion:estimates and projections for all countries, 2000-2050. Progress in Planning, 75(2):53-107. doi: 10.1016/j.progress.2011.04.001
    [2] Bański J, Wesołowska M, 2010. Transformations in housing con-struction in rural areas of Poland's Lublin region:influence on the spatial settlement structure and landscape aesthetics. Landscape and Urban Planning, 94(2):116-126. doi: 10.1016/j.landurbplan.2009.08.005
    [3] Cai E X, Chen W Q, Wei H J et al., 2019. The coupling charac-teristics of population and residential land in rural areas of China and its implications for sustainable land use. Sustainable Development. doi: 10.1002/sd.2015
    [4] Camagni R, Gibelli M C, Rigamonti P, 2002. Urban mobility and urban form:the social and environmental costs of different patterns of urban expansion. Ecological Economics, 40(2):199-216. doi: 10.1016/s0921-8009(01)00254-3
    [5] Cao Kang, Guan Hua, 2007. Brownfield redevelopment toward sustainable urban land use in China. Chinese Geographical Science, 17(2):127-134. doi: 10.1007/s11769-007-0127-5
    [6] Chen C, Park T, Wang X H et al., 2019. China and India lead in greening of the world through land-use management. Nature Sustainability, 2(2):122-129. doi: 10.1038/s41893-019-0220-7
    [7] Chen Y B, Chang K T, Han F Z et al., 2016. Investigating urbani-zation and its spatial determinants in the central districts of Guangzhou, China. Habitat International, 51:59-69. doi: 10.1016/j.habitatint.2015.10.013
    [8] Davis D E, 2016. Reflections on the relations between develop-ment and urbanization:past trajectories and future challenges. International Journal of Urban Sciences, 20(1):1-14. doi: 10.1080/12265934.2016.1143784
    [9] Gao Y, Ma Y J, 2015. What is absent from the current monitoring:idleness of rural industrial land in suburban Shanghai. Habitat International, 49:138-147. doi: 10.1016/j.habitatint.2015.05.019
    [10] Huang J, Levinson D, Wang J E et al., 2018. Tracking job and housing dynamics with smartcard data. Proceedings of the Na-tional Academy of Sciences of the United States of America, 115(50):12710-12715. doi: 10.1073/pnas.1815928115
    [11] Huang Z J, Wei Y D, He C F et al., 2015. Urban land expansion under economic transition in China:a multi-level modeling analysis. Habitat International, 47:69-82. doi: 10.1016/j.habitatint.2015.01.007
    [12] Hui E C M, Wu Y Z, Deng L J et al., 2015. Analysis on coupling relationship of urban scale and intensive use of land in China. Cities, 42:63-69. doi: 10.1016/j.cities.2014.09.002
    [13] Irwin E G, Bockstael N E, 2002. Interacting agents, spatial exter-nalities and the evolution of residential land use patterns. Journal of Economic Geography, 2(1):31-54. doi: 10.1093/jeg/2.1.31
    [14] Jesse W A M, Behm J E, Helmus M R et al., 2018. Human land use promotes the abundance and diversity of exotic species on Caribbean islands. Global Change Biology, 24(10):4784-4796. doi: 10.1111/gcb.14334
    [15] Jiangsu Provincial Bureau of Statistics of China, 2010. Jiangsu Statistical Yearbook 2010. Beijing:China Statistics Press. (in Chinese)
    [16] Jiangsu Provincial Bureau of Statistics of China, 2019. Jiangsu Statistical Yearbook 2019. Beijing:China Statistics Press. (in Chinese)
    [17] Kiss E, 2000. Rural restructuring in Hungary in the period of socio-economic transition. Geojournal, 51(3):221-233.
    [18] Kong X S, Liu Y L, Jiang P et al., 2018. A novel framework for rural homestead land transfer under collective ownership in China. Land Use Policy, 78:138-146. doi: 10.1016/j.landusepol.2018.06.046
    [19] Kong Xuesong, Xie Shijiao, Zhu Siyang et al., 2019. Spatiotem-poral differentiation and dynamic coupling of urbanization of population, land and industry in Hubei Province. Economic Geography, 39(4):93-100. (in Chinese)
    [20] Li Shengfa, Li Xiubin, 2017. Global understanding of farmland abandonment:a review and prospects. Journal of Geographical Sciences, 27(9):1123-1150. doi: 10.1007/s11442-017-1426-0
    [21] Li Xiaoyun, Yang Yu, Liu Yi, 2017. Research progress in man-land relationship evolution and its resource-environment base in China. Journal of Geographical Sciences, 27(8):899-924. doi: 10.1007/s11442-017-1412-6
    [22] Liu Y S, Lu S S, Chen Y F, 2013. Spatio-temporal change of ur-ban-rural equalized development patterns in China and its driving factors. Journal of Rural Studies, 32:320-330. doi: 10.1016/j.jrurstud.2013.08.004
    [23] Liu Y S, Li Y H, 2017. Revitalize the world's countryside. Nature, 548(7667):275-277. doi: 10.1038/548275a
    [24] Liu Y S, 2018. Introduction to land use and rural sustainability in China. Land Use Policy, 74:1-4. doi:10.1016/j.landusepol. 2018.01.032
    [25] Long H L, Zou J, Pykett J et al., 2011. Analysis of rural transfor-mation development in China since the turn of the new mil-lennium. Applied Geography, 31(3):1094-1105. doi: 10.1016/j.apgeog.2011.02.006
    [26] Long H L, Li Y R, Liu Y S et al., 2012. Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance’ land-use policy for dealing with hollowed villages. Land Use Policy, 29(1):11-22. doi: 10.1016/j.landusepol.2011.04.003
    [27] López E, Bocco G, Mendoza M et al., 2001. Predicting land-cover and land-use change in the urban fringe:a case in Morelia city, Mexico. Landscape and Urban Planning, 55(4):271-285. doi: 10.1016/s0169-2046(01)00160-8
    [28] Luo J J, Xing X S, Wu Y Z et al., 2018a. Spatio-temporal analysis on built-up land expansion and population growth in the Yangtze River Delta Region, China:from a coordination per-spective. Applied Geography, 96:98-108. doi: 10.1016/j.apgeog.2018.05.012
    [29] Luo J J, Zhang X L, Wu Y Z et al., 2018b. Urban land expansion and the floating population in China:for production or for liv-ing? Cities, 74:219-228. doi: 10.1016/j.cities.2017.12.007
    [30] National Bureau of Statistics of China, 2019. China Statistical Yearbook 2019. Beijing:China Statistics Press. (in Chinese)
    [31] Peng X Z, 2011. China's demographic history and future chal-lenges. Science, 333(6042):581-587. doi:10.1126/science. 1209396
    [32] Peng Y, Shen L Y, Tan C et al., 2013. Critical determinant factors (CDFs) for developing concentrated rural settlement in post-disaster reconstruction:a China study. Natural Hazards, 66(2):355-373. doi: 10.1007/s11069-012-0488-7
    [33] Pribadi D O, Pauleit S, 2015. The dynamics of peri-urban agri-culture during rapid urbanization of Jabodetabek Metropolitan Area. Land Use Policy, 48:13-24. doi:10.1016/j.landusepol. 2015.05.009
    [34] Qi Wei, Liu Shenghe, Jin Haoran, 2017. Calculation method and spatial pattern of urbanization rate of registered population in China. Geographical Research, 36(4):616-632. (in Chinese)
    [35] Sapena M, Ruiz L Á, 2019. Analysis of land use/land cover spa-tio-temporal metrics and population dynamics for urban growth characterization. Computers, Environment and Urban Systems, 73:27-39. doi: 10.1016/j.compenvurbsys.2018.08.001
    [36] Shi M J, Xie Y W, Cao Q, 2016. Spatiotemporal Changes in Rural Settlement Land and Rural Population in the Middle Basin of the Heihe River, China. Sustainability, 8(7):614. doi: 10.3390/su8070614
    [37] Sun Hu, Liu Yansui, Xu Keshuai, 2011. Hollow villages and rural restructuring in major rural regions of China:a case study of Yucheng City, Shandong Province. Chinese Geographical Science, 21(3):354-363. doi: 10.1007/s11769-011-0474-0
    [38] Tan M H, Li X B, 2013. The changing settlements in rural areas under urban pressure in China:patterns, driving forces and policy implications. Landscape and Urban Planning, 120:170-177. doi: 10.1016/j.landurbplan.2013.08.016
    [39] Tapio P, 2005. Towards a theory of decoupling:degrees of decou-pling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 12(2):137-151. doi: 10.1016/j.tranpol.2005.01.001
    [40] Tappe O, Nguyen M T N, 2019. Southeast Asian trajectories of labour mobility:precarity, translocality, and resilience. TRaNs:Trans-Regional and National Studies of Southeast Asia, 7(1):1-18. doi: 10.1017/trn.2019.4
    [41] Wang J, Zhang W W, Zhang Z X, 2018. Quantifying the spa-tio-temporal dynamics of rural settlements and the associated impacts on land use in an undeveloped area of China. Sus-tainability, 10(5):1490. doi: 10.3390/su10051490
    [42] Wu Y Z, Jiang W D, Luo J J et al., 2019. How Can Chinese farm-ers' property income be improved? A population-land coupling urbanization mechanism. China & World Economy, 27(2):107-126. doi: 10.1111/cwe.12277
    [43] Xiong Jianxin, Chen Duanlu, Peng Baofa et al., 2014. Spa-tio-temporal difference of coupling coordinative degree of ecological carrying capacity in the Dongting lake region. Sci-entia Geographica Sinica, 34(9):1108-1116. (in Chinese)
    [44] Xu Q, Yang R, 2019. The sequential collaborative relationship between economic growth and carbon emissions in the rapid urbanization of the Pearl River Delta. Environmental Science and Pollution Research, 26(29):30130-30144. doi: 10.1007/s11356-019-06107-9
    [45] Yang Ren, Liu Yansui, Long Hualou, 2015. The study on non-agricultural transformation co-evolution characteristics of ‘population-land-industry’:case study of the Bohai Rim in China. Geographical Research, 34(3):475-486. (in Chinese)
    [46] Yang R, Xu Q, Long H L, 2016. Spatial distribution characteristics and optimized reconstruction analysis of China's rural set-tlements during the process of rapid urbanization. Journal of Rural Studies, 47:413-424. doi: 10.1016/j.jrurstud.2016.05.013
    [47] Yang Ren, Xu Qian, Xu Xuanfang et al., 2019. Rural settlement spatial patterns and effects:road traffic accessibility and geo-graphic factors in Guangdong Province, China. Journal of Geographical Sciences, 29(2):213-230. doi: 10.1007/s11442-019-1593-2
    [48] Ye J Z, 2018. Stayers in China's ‘hollowed-out’ villages:a counter narrative on massive rural-urban migration. Population, Space and Place, 24(4):e2128. doi: 10.1002/psp.2128
    [49] Ye L F, Huang X J, Yang H et al., 2018. Effects of dual land own-erships and different land lease terms on industrial land use ef-ficiency in Wuxi City, East China. Habitat International, 78:21-28. doi: 10.1016/j.habitatint.2018.04.011
    [50] Zhao W X, Zou Y H, 2017. Un-gating the gated community:the spatial restructuring of a resettlement neighborhood in Nanjing. Cities, 62:78-87. doi: 10.1016/j.cities.2016.12.015
    [51] Zhou Guohua, Peng Jiajie, 2012. The evolution characteristics and influence effect of spatial conflict:a case study of Chang-sha-Zhuzhou-Xiangtan urban agglomeration. Progress in Ge-ography, 31(6):717-723. (in Chinese)
    [52] Zhou Guohua, He Yanhua, Tang Chengli et al., 2013. Dynamic mechanism and present situation of rural settlement evolution in China. Journal of Geographical Sciences, 23(3):513-524. doi: 10.1007/s11442-013-1025-7
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Identifying the Static and Dynamic Relationships Between Rural Popu-lation and Settlements in Jiangsu Province, China

doi: 10.1007/s11769-020-1150-z
  • 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;
  • 2. Key Laboratory of Geographic In-formation System, Ministry of Education, Wuhan University, Wuhan 430079, China
Funds:

Under the auspices of the National Natural Science Foundation of China (No. 41871182), the National Key Research and Development Program of China (No. 2018YFD1100801).

  • Received Date: 2020-01-16
  • Rev Recd Date: 2020-05-12

Abstract: Rapid urbanization has triggered large rural population floating into cities, which in turn affects rural human-land relationships. The actual human-land relationship involves the coupling level of a time point and dynamic change of a time interval. However, few studies have identified the rural human-land relationship from these two perspectives. This study combined static coupling analysis with a dynamic decoupling model to analyze the relationships between rural population and settlements from 2009 to 2018 in Jiangsu Province, China. Although the static coupling degree in Jiangsu Province was relatively high, the decoupling analysis found that the rural human-land relationship in most counties was uncoordinated. There were 11 combination types based on the coupling and decoupling relationships. The most common two types (accounting for 76.74%) were recession decoupling with high-level coupling and strong decoupling with high-level coupling. Although the majority of counties had a high-level coupling degree, an uncoordinated change in rural population and rural settlements was observed in these counties. Counties with relatively reasonable human-land relationships accounted for only 12.79% of the total. The combination features for each type were identified and differential policies were proposed for optimizing human-land relationship in rural areas. This study would contribute to our understanding of the multiple relationships between rural population and settlements involved in different patterns and processes, and expect to provide theoretical and methodological support for promoting rural revitalization and sustainable development in practice.

ZHU Zhiqing, KONG Xuesong, LI Yajing. Identifying the Static and Dynamic Relationships Between Rural Popu-lation and Settlements in Jiangsu Province, China[J]. Chinese Geographical Science, 2020, 30(5): 810-823. doi: 10.1007/s11769-020-1150-z
Citation: ZHU Zhiqing, KONG Xuesong, LI Yajing. Identifying the Static and Dynamic Relationships Between Rural Popu-lation and Settlements in Jiangsu Province, China[J]. Chinese Geographical Science, 2020, 30(5): 810-823. doi: 10.1007/s11769-020-1150-z
shu

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