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Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use

Author

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  • Zhang, Pengyan
  • Yang, Dan
  • Qin, Mingzhou
  • Jing, Wenlong

Abstract

Economic growth is inseparable from the input of land elements, and built-up land is the most important category of land elements. Its spatial distribution and influencing factors play an important role in regional development and economic growth. The built-up land development intensity is a direct reflection of the degree of regional land use and economic scale benefits. During different periods and different geographical locations, the distribution of built-up land shows certain stage characteristics and regional differences. Taking prefecture-level cities within China (totaling 285 geospatial units) as the study area, this study applied spatial correlation, standard deviational ellipse, and Geographically Weighted Regression (GWR) modeling to investigate the spatial heterogeneity of the influencing factors of the built-up land development intensity from 2006 to 2016. The results found: during 2006–2016, the spatial deviation of the built-up land development intensity in China was significant, and showed an increasing trend, specifically demonstrating a “from agglomerated to balanced” pattern. The hotspots were spatially agglomerated in the Beijing–Tianjin–Hebei and southeast coastal areas, whereas coldspots of particularly low development intensity were concentrated in areas such as Heilongjiang, Ningxia, Sichuan, and Gansu. The influence of government regulation and control on the spatial patterns of the built-up land development intensity in China gradually strengthened, although the degree of influence of the various explanatory variables on the built-up land development intensity differed among regions throughout China. This study can help support the development of land use and development policy to support more even development throughout similar to China.

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  • Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837720300259
    DOI: 10.1016/j.landusepol.2020.104958
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    References listed on IDEAS

    as
    1. Zhuang, Liang & Ye, Chao, 2020. "Changing imbalance: Spatial production of national high-tech industrial development zones in China (1988-2018)," Land Use Policy, Elsevier, vol. 94(C).
    2. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    3. Wang, Chenglong & Liu, Hui & Zhang, Mengtian & Wei, Zongcai, 2018. "The border effect on urban land expansion in China: The case of Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 78(C), pages 287-294.
    4. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    5. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    6. Guangzhao Chen & Xia Li & Xiaoping Liu & Yimin Chen & Xun Liang & Jiye Leng & Xiaocong Xu & Weilin Liao & Yue’an Qiu & Qianlian Wu & Kangning Huang, 2020. "Global projections of future urban land expansion under shared socioeconomic pathways," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    7. Wang, Chenglong & Liu, Hui & Zhang, Mengtian, 2020. "Exploring the mechanism of border effect on urban land expansion: A case study of Beijing-Tianjin-Hebei region in China," Land Use Policy, Elsevier, vol. 92(C).
    8. Seong-Hoon Cho & Dayton Lambert & Zhuo Chen, 2010. "Geographically weighted regression bandwidth selection and spatial autocorrelation: an empirical example using Chinese agriculture data," Applied Economics Letters, Taylor & Francis Journals, vol. 17(8), pages 767-772.
    9. Ana Barbosa & Sara Vallecillo & Claudia Baranzelli & Chris Jacobs-Crisioni & Filipe Batista e Silva & Carolina Perpiña-Castillo & Carlo Lavalle & Joachim Maes, 2017. "Modelling built-up land take in Europe to 2020: an assessment of the Resource Efficiency Roadmap measure on land," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(8), pages 1439-1463, August.
    10. Wenjie Cai & Tu Fangyuan, 2020. "Spatiotemporal characteristics and driving forces of construction land expansion in Yangtze River economic belt, China," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-20, January.
    11. Yunfeng Cen & Pengyan Zhang & Yuhang Yan & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Xin Liu & Wenliang Geng & Tianqi Rong, 2019. "Spatial and Temporal Agglomeration Characteristics and Coupling Relationship of Urban Built-Up Land and Economic Hinterland—A Case Study of the Lower Yellow River, China," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    12. Shu, Cheng & Xie, Hualin & Jiang, Jinfa & Chen, Qianru, 2018. "Is Urban Land Development Driven by Economic Development or Fiscal Revenue Stimuli in China?," Land Use Policy, Elsevier, vol. 77(C), pages 107-115.
    13. Pengyan Zhang & Yanyan Li & Wenlong Jing & Dan Yang & Yu Zhang & Ying Liu & Wenliang Geng & Tianqi Rong & Jingwen Shao & Jiaxin Yang & Mingzhou Qin, 2020. "Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity," Complexity, Hindawi, vol. 2020, pages 1-12, May.
    14. Lyu, Rongfang & Zhang, Jianming & Xu, Mengqun & Li, Jijun, 2018. "Impacts of urbanization on ecosystem services and their temporal relations: A case study in Northern Ningxia, China," Land Use Policy, Elsevier, vol. 77(C), pages 163-173.
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