IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v99y2020ics0264837720300259.html
   My bibliography  Save this article

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

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837720300259
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2020.104958?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    11. 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.
    12. 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.
    13. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zubaida Muyibul & Xiaoping Tan & Juma Tuniyazi & Rongrong Du, 2023. "Relationships between Tourism, Urbanization and Ecosystem Service Value in the Cities of Xinjiang in Northwest China," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    2. Yu Wang & Lin Zhang, 2023. "The Impact of Technology Innovation on Urban Land Intensive Use in China: Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    3. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    4. Yuanyuan Lou & Dan Yang & Pengyan Zhang & Ying Zhang & Meiling Song & Yicheng Huang & Wenlong Jing, 2022. "Multi-Scenario Simulation of Land Use Changes with Ecosystem Service Value in the Yellow River Basin," Land, MDPI, vol. 11(7), pages 1-17, June.
    5. Zhangsheng Liu & Binbin Lai & Shuangyin Wu & Xiaotian Liu & Qunhong Liu & Kun Ge, 2022. "Growth Targets Management, Regional Competition and Urban Land Green Use Efficiency According to Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    6. Xingran Cai & Yanqing Liang & Zhiying Huang & Jingfeng Ge, 2021. "Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-16, July.
    7. Zhanhang Zhou & Linjian Cao & Kuokuo Zhao & Dongliang Li & Ci Ding, 2021. "Spatio-Temporal Effects of Multi-Dimensional Urbanization on Carbon Emission Efficiency: Analysis Based on Panel Data of 283 Cities in China," IJERPH, MDPI, vol. 18(23), pages 1-20, December.
    8. Yanyan Wu & Jiadong Yuan, 2022. "Is There a Regulation in the Expansion of Urban Spatial Structure? Empirical Study from the Main Urban Area in Zhengzhou, China," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    9. Men, Dan & Pan, Jinghu, 2023. "Ecological network identification and connectivity robustness evaluation in the Yellow River Basin under a multi-scenario simulation," Ecological Modelling, Elsevier, vol. 482(C).
    10. Jinjing Hu & Yong Huang & Jie Du, 2021. "The Impact of Urban Development Intensity on Ecological Carrying Capacity: A Case Study of Ecologically Fragile Areas," IJERPH, MDPI, vol. 18(13), pages 1-25, July.
    11. Yanyan Li & Jinbing Zhang & Hui Zhu & Zhimin Zhou & Shan Jiang & Shuangyan He & Ying Zhang & Yicheng Huang & Mengfan Li & Guangrui Xing & Guanghui Li, 2023. "Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    12. Dan Yang & Zhenyue Liu & Pengyan Zhang & Zhuo Chen & Yinghui Chang & Qianxu Wang & Xinyue Zhang & Rong Lu & Mengfan Li & Guangrui Xing & Guanghui Li, 2022. "Understanding Relationships between Cultivated Land Pressure and Economic Development Level across Spatiotemporal Characteristics: Implications for Supporting Land-Use Management Decisions," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
    13. Hui Li & Kunqiu Chen & Lei Yan & Yulin Zhu & Liuwen Liao & Yangle Chen, 2021. "Urban Land Use Transitions and the Economic Spatial Spillovers of Central Cities in China’s Urban Agglomerations," Land, MDPI, vol. 10(6), pages 1-27, June.
    14. Pengrui Wang & Chen Zeng & Yan Song & Long Guo & Wenping Liu & Wenting Zhang, 2021. "The Spatial Effect of Administrative Division on Land-Use Intensity," Land, MDPI, vol. 10(5), pages 1-18, May.
    15. Han Wang & Yujie Jin & Xingming Hong & Fuan Tian & Jianxian Wu & Xin Nie, 2022. "Integrating IPAT and CLUMondo Models to Assess the Impact of Carbon Peak on Land Use," Land, MDPI, vol. 11(4), pages 1-16, April.
    16. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    17. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Changyan & Huang, Xianjin & Chen, Bowen, 2020. "Telecoupling mechanism of urban land expansion based on transportation accessibility: A case study of transitional Yangtze River economic Belt, China," Land Use Policy, Elsevier, vol. 96(C).
    2. Tan, Ronghui & Liu, Pengcheng & Zhou, Kehao & He, Qingsong, 2022. "Evaluating the effectiveness of development-limiting boundary control policy: Spatial difference-in-difference analysis," Land Use Policy, Elsevier, vol. 120(C).
    3. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    4. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    5. Haiyang Qiu & Xin Li & Long Zhang, 2023. "Influential Effect and Mechanism of Digital Finance on Urban Land Use Efficiency in China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    6. Lü, Da & Gao, Guangyao & Lü, Yihe & Xiao, Feiyan & Fu, Bojie, 2020. "Detailed land use transition quantification matters for smart land management in drylands: An in-depth analysis in Northwest China," Land Use Policy, Elsevier, vol. 90(C).
    7. Zhang, Yuanxia & Halder, Pradipta & Zhang, Xiaoning & Qu, Mei, 2020. "Analyzing the deviation between farmers' Land transfer intention and behavior in China's impoverished mountainous Area: A Logistic-ISM model approach," Land Use Policy, Elsevier, vol. 94(C).
    8. Liu, Jing & Jin, Xiaobin & Xu, Weiyi & Sun, Rui & Han, Bo & Yang, Xuhong & Gu, Zhengming & Xu, Cuilan & Sui, Xueyan & Zhou, Yinkang, 2019. "Influential factors and classification of cultivated land fragmentation, and implications for future land consolidation: A case study of Jiangsu Province in eastern China," Land Use Policy, Elsevier, vol. 88(C).
    9. Zhang, Yongchao & Torre, André & Ehrlich, Marianne, 2023. "The impact of Chinese government promoted homestead transfer on labor migration and household's well-being: A study in three rural areas," Journal of Asian Economics, Elsevier, vol. 86(C).
    10. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    11. Liu Yang & Bingyang Han & Zhili Ma & Ting Wang & Yingchao Lin, 2022. "Analysis of the Urban Land Use Efficiency in the New-Type Urbanization Process of China’s Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    12. Zhang, Dongli & Wang, Wenxiong & Zhou, Wei & Zhang, Xiaoling & Zuo, Jian, 2020. "The effect on poverty alleviation and income increase of rural land consolidation in different models: A China study," Land Use Policy, Elsevier, vol. 99(C).
    13. Wang, Wenxiong & Lan, Yuanqin & Wang, Xu, 2021. "Impact of livelihood capital endowment on poverty alleviation of households under rural land consolidation," Land Use Policy, Elsevier, vol. 109(C).
    14. Li, Jing & Lo, Kevin & Zhang, Pingyu & Guo, Meng, 2021. "Reclaiming small to fill large: A novel approach to rural residential land consolidation in China," Land Use Policy, Elsevier, vol. 109(C).
    15. Wang, Yongsheng & Li, Yuheng, 2019. "Promotion of degraded land consolidation to rural poverty alleviation in the agro-pastoral transition zone of northern China," Land Use Policy, Elsevier, vol. 88(C).
    16. Xiao, Wei & Zhao, Guochang, 2020. "Who is affected: Influence of agricultural land on occupational choices of peasants in China," Land Use Policy, Elsevier, vol. 99(C).
    17. Yan, Jinming & Zhang, Dongsheng & Xia, Fangzhou, 2021. "Evaluation of village land use planning risks in green concepts: The case of Qiwangfen Village in Beijing," Land Use Policy, Elsevier, vol. 104(C).
    18. Wang, Ming & Liu, Zhengjia & Ali Baig, Muhammad Hasan & Wang, Yongsheng & Li, Yurui & Chen, Yuanyan, 2019. "Mapping sugarcane in complex landscapes by integrating multi-temporal Sentinel-2 images and machine learning algorithms," Land Use Policy, Elsevier, vol. 88(C).
    19. Wenfang Pu & Anlu Zhang & Lanjiao Wen, 2021. "Can China’s Resource-Saving and Environmentally Friendly Society Really Improve the Efficiency of Industrial Land Use?," Land, MDPI, vol. 10(7), pages 1-19, July.
    20. Guo, Beibei & Fang, Yelin & Jin, Xiaobin & zhou, Yinkang, 2020. "Monitoring the effects of land consolidation on the ecological environmental quality based on remote sensing: A case study of Chaohu Lake Basin, China," Land Use Policy, Elsevier, vol. 95(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837720300259. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.