IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p2461-d1051451.html
   My bibliography  Save this article

The Relationship between the Spatial and Temporal Evolution of Land Use Function and the Level of Economic and Social Development in the Yangtze River Delta

Author

Listed:
  • Rumeng Yin

    (School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China)

  • Xin Li

    (Agricultural College, Yangzhou University, Yangzhou 225009, China
    School of Public Administration, Nanjing Agricultural University, Nanjing 210023, China)

  • Bin Fang

    (School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China)

Abstract

To explore the spatiotemporal evolution characteristics of land use function and its correlation with social and economic development levels, taking the Yangtze River Delta region as an example, we quantified the multifunctional land use in the Yangtze River Delta region from 2000 to 2020 on a 5 km × 5 km grid and analyzed its spatiotemporal evolution characteristics. Each city’s comprehensive measure of economic development used the projection tracing method. Person’s method of interpretation was used for correlation between the spatial and temporal evolution of land use functions and the level of economic development and its coupling association. The study shows that: (1) from 2000 to 2020, the agricultural production function > ecological function > living function > non-agricultural production function in the Yangtze River Delta, but the non-agricultural production and living functions were gradually increasing, while the agricultural production and ecological functions were decreasing. In terms of spatial distribution, the agricultural production function decreases significantly around the built-up area due to the expansion of the built-up area. The non-agricultural production function strengthened around the central city in a network pattern and had a path-locking effect. Topography limits life functions, with high north and low south partially overlapping with non-agricultural production functions. Furthermore, the ecological function was high in the south and low in the north and continues to weaken due to the interference of human activities. (2) The spatiotemporal heterogeneity of different functions generated trade-offs/synergies. The trade-off relationship was prominent in agricultural production and non-farm production function and living function, and non-farm production and living function and ecological function during the study period. Conversely, agricultural production and ecological functions and non-farm production and subsistence functions were generally synergistic. Spatially, there was substantial spatial heterogeneity in the trade-off/synergy relationship between the two functions. (3) There was a clear correlation and spatial coupling between land use function indices and economic development levels in the whole region and sample zones. Still, the dynamic and regional nature of the evolution of land use functions results in sudden changes and jumps in different functions in space. Therefore, in the future integration of the Yangtze River Delta, it is necessary to pay comprehensive attention to the morphology of different land use functions and their synergy/trade-off relationship and to adjust the spatial governance strategy promptly according to the local conditions and the situation.

Suggested Citation

  • Rumeng Yin & Xin Li & Bin Fang, 2023. "The Relationship between the Spatial and Temporal Evolution of Land Use Function and the Level of Economic and Social Development in the Yangtze River Delta," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2461-:d:1051451
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/2461/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/3/2461/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baldwin, Richard E. & Martin, Philippe, 2004. "Agglomeration and regional growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 60, pages 2671-2711, Elsevier.
    2. Liu, Chao & Xu, Yueqing & Lu, Xinhai & Han, Jing, 2021. "Trade-offs and driving forces of land use functions in ecologically fragile areas of northern Hebei Province: Spatiotemporal analysis," Land Use Policy, Elsevier, vol. 104(C).
    3. Eirik Romstad, 2010. "Multifunctional Rural Land Management: Economics and Policies," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 202-204, February.
    4. Masahisa Fujita & Jacques‐François Thisse, 2003. "Does Geographical Agglomeration Foster Economic Growth? And Who Gains and Loses from It?," The Japanese Economic Review, Japanese Economic Association, vol. 54(2), pages 121-145, June.
    5. Hualou Long & Yingnan Zhang & Li Ma & Shuangshuang Tu, 2021. "Land Use Transitions: Progress, Challenges and Prospects," Land, MDPI, vol. 10(9), pages 1-20, August.
    6. Yaodan Zhang & Fei Li & Kai Li & Laiding Sun & Haijuan Yang, 2022. "The Influence of Space Transformation of Land Use on Function Transformation and the Regional Differences in Shaanxi Province," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    7. Xue Xie & Bin Fang & Xin Li & Shasha He, 2021. "Urban ecosystem health assessment and obstacle factor diagnosis using a comprehensive assessment model for Nanjing, China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1938-1954, September.
    8. Shasha He & Bin Fang & Xue Xie, 2022. "Temporal and Spatial Evolution and Driving Mechanism of Urban Ecological Welfare Performance from the Perspective of High-Quality Development: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 11(9), pages 1-24, September.
    9. Changchang Liu & Chuxiong Deng & Zhongwu Li & Yaojun Liu, 2022. "Response Characteristics of Soil Erosion to Spatial Conflict in the Production-Living-Ecological Space and Their DrivingMechanism: A Case Study of Dongting Lake Basin in China," Land, MDPI, vol. 11(10), pages 1-17, October.
    10. Rongtian Zhang, 2022. "Spatial Differentiation and Tradeoff–Synergy of Rural Multifunction at the County Scale in Anhui Province in the China’s Traditional Agricultural Areas," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    11. Biao Sun & Shan Yang, 2020. "Asymmetric and Spatial Non-Stationary Effects of Particulate Air Pollution on Urban Housing Prices in Chinese Cities," IJERPH, MDPI, vol. 17(20), pages 1-23, October.
    12. Pinto-Correia, T. & Guiomar, N. & Guerra, C.A. & Carvalho-Ribeiro, S., 2016. "Assessing the ability of rural areas to fulfil multiple societal demands," Land Use Policy, Elsevier, vol. 53(C), pages 86-96.
    13. Liu, Jing & Jin, Xiaobin & Xu, Weiyi & Fan, Yeting & Ren, Jie & Zhang, Xiaolin & Zhou, Yinkang, 2019. "Spatial coupling differentiation and development zoning trade-off of land space utilization efficiency in eastern China," Land Use Policy, Elsevier, vol. 85(C), pages 310-327.
    14. Wei-Ling Hsu & Xijuan Shen & Haiying Xu & Chunmei Zhang & Hsin-Lung Liu & Yan-Chyuan Shiau, 2021. "Integrated Evaluations of Resource and Environment Carrying Capacity of the Huaihe River Ecological and Economic Belt in China," Land, MDPI, vol. 10(11), pages 1-21, October.
    15. Ning Xu & Wanxu Chen & Sipei Pan & Jiale Liang & Jiaojiao Bian, 2022. "Evolution Characteristics and Formation Mechanism of Production-Living-Ecological Space in China: Perspective of Main Function Zones," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    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. Tianjiao Zhang & Cuifang Zhang & Qian Wang & Chuanhao Yang & Jin Zhang & Chenxuan Zhang & Qipeng Zhang, 2024. "Research on Sustainable Land Use in Alpine Meadow Region Based on Coupled Coordination Degree Model—From Production–Living–Ecology Perspective," Sustainability, MDPI, vol. 16(12), pages 1-17, June.

    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. Cerina, Fabio & Mureddu, Francesco, 2014. "Is agglomeration really good for growth? Global efficiency, interregional equity and uneven growth," Journal of Urban Economics, Elsevier, vol. 84(C), pages 9-22.
    2. Johanna Vogel, 2012. "Agglomeration and Growth: Evidence from the Regions of Central and Eastern Europe," ERSA conference papers ersa12p1089, European Regional Science Association.
    3. Sabyasachi Tripathi, 2013. "Do Large Agglomerations Lead To Economic Growth? Evidence From Urban India," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 176-200, November.
    4. José M. Gaspar, 2018. "A prospective review on New Economic Geography," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 237-272, September.
    5. Thomas Doring & Jan Schnellenbach, 2006. "What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 375-395.
    6. Breinlich, Holger & Ottaviano, Gianmarco I.P. & Temple, Jonathan R.W., 2014. "Regional Growth and Regional Decline," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 4, pages 683-779, Elsevier.
    7. Patricio Aroca & Carlos Azzoni & Mauricio Sarrias, 2018. "Regional concentration and national economic growth in Brazil and Chile," Letters in Spatial and Resource Sciences, Springer, vol. 11(3), pages 343-359, October.
    8. Matthias Cinyabuguma & Virginia McConnell, 2013. "Urban Growth Externalities And Neighborhood Incentives: Another Cause Of Urban Sprawl?," Journal of Regional Science, Wiley Blackwell, vol. 53(2), pages 332-348, May.
    9. Wenxin Zhao & Yangbing Li & Qingrong Wang & Jing’an Shao, 2024. "Coupling Coordination Relationship and Spatiotemporal Heterogeneity between Functional Diversification and Settlement Evolution in Traditional Mountain Areas (2000–2020): A Case Study of Fengjie Count," Land, MDPI, vol. 13(7), pages 1-21, July.
    10. Anna Bottasso & Maurizio Conti & Simone Robbiano & Marta Santagata, 2022. "Roads to innovation: Evidence from Italy," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 981-1005, September.
    11. Ching-mu Chen, 2019. "The effect of capital flow on the agglomeration evolution of footloose entrepreneurs," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 761-791, October.
    12. repec:esx:essedp:729 is not listed on IDEAS
    13. Robbiano, Simone, 2021. "The innovative impact of public research institutes: evidence from Italy," MPRA Paper 106386, University Library of Munich, Germany.
    14. Guangliang Zhou & Di Zhang & Qian Zhou & Tao Shi, 2022. "Study on the Spatiotemporal Evolution Characteristics of the “Production–Living–Ecology” Space in the Yellow River Basin and Its Driving Factors," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    15. Edward L. Glaeser & Giacomo A. M. Ponzetto, 2010. "Did the Death of Distance Hurt Detroit and Help New York?," NBER Chapters, in: Agglomeration Economics, pages 303-337, National Bureau of Economic Research, Inc.
    16. Colin Davis, 2013. "Regional integration and innovation offshoring with occupational choice and endogenous growth," Journal of Economics, Springer, vol. 108(1), pages 59-79, January.
    17. Emanuela Marrocu & Raffaele Paci & Stefano Usai, 2013. "Productivity Growth In The Old And New Europe: The Role Of Agglomeration Externalities," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 418-442, August.
    18. Benjamin Montmartin & Nadine Massard, 2015. "Is Financial Support For Private R&D Always Justified? A Discussion Based On The Literature On Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 479-505, July.
    19. Minhua Yang & Rui Yao & Linkun Ma & Ang Yang, 2024. "Towards a Low-Carbon Target: How the High-Speed Rail and Its Expansion Affects Industrial Concentration and Macroeconomic Conditions: Evidence from Chinese Urban Agglomerations," Sustainability, MDPI, vol. 16(19), pages 1-18, September.
    20. Hyuk-Soo Kwon & Jihong Lee & Sokbae Lee & Ryungha Oh, 2022. "Knowledge spillovers and patent citations: trends in geographic localization, 1976–2015," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(3), pages 123-147, April.
    21. Neil Foster & Robert Stehrer, 2009. "Sectoral Productivity, Density and Agglomeration in the Wider Europe," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(4), pages 427-446.

    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:gam:jijerp:v:20:y:2023:i:3:p:2461-:d:1051451. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.