IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i24p6906-d294217.html
   My bibliography  Save this article

Identification of Shrinkage and Growth Patterns of a Shrinking City in China Based on Nighttime Light Data: A Case Study of Yichun

Author

Listed:
  • Ying Zhou

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Chenggu Li

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Zuopeng Ma

    (Northeast Institute of Geography and Agroecology, Chines Academy of Science, Changchun 130102, China)

  • Shuju Hu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Jing Zhang

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Wei Liu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

Abstract

Urban shrinkage has become a topic of major concern to scholars of geography and urban science. However, the methods of identifying urban shrinkage and growth have mostly focused on traditional statistical methods, and studies based on nighttime light (NTL) data are rare. Here, we use the NTL data for 56 months from 2012 to 2019 obtained by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar Orbiting Partnership (NPP) to identify the shrinkage and growth patterns of Yichun in China, by calculating the slope of the NTL radiance value after denoising. At the same time, by combining high-resolution Google satellite images and traditional demographic data, we analyzed the shrinkage characteristics of Yichun. The results of the study confirmed the characteristics of partial shrinkage in China’s shrinking cities. In addition, the use of NPP-VIIRS NTL data was able to more accurately identify the urban shrinkage and growth patterns, and may also be seen to present a more objective picture of reality, thus providing a new perspective for studies of urban shrinkage.

Suggested Citation

  • Ying Zhou & Chenggu Li & Zuopeng Ma & Shuju Hu & Jing Zhang & Wei Liu, 2019. "Identification of Shrinkage and Growth Patterns of a Shrinking City in China Based on Nighttime Light Data: A Case Study of Yichun," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6906-:d:294217
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/24/6906/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/24/6906/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    2. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    3. Thorsten Wiechmann & Karina M. Pallagst, 2012. "Urban shrinkage in Germany and the USA: A Comparison of Transformation Patterns and Local Strategies," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 36(2), pages 261-280, March.
    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. Bingxin Li & Chennan He & Xue Jiang & Qiang Zheng & Jiashuang Li, 2025. "Land Use Evolution and Multi-Scenario Simulation of Shrinking Border Counties Based on the PLUS Model: A Case Study of Changbai County," Sustainability, MDPI, vol. 17(14), pages 1-29, July.
    2. Wei Gao & Xinzheng Zhao & Jianwei Li & Dekang Zhang & Yang Rui & Tongsheng Li & Min Lei, 2022. "Spatiotemporal Pattern Identification and Driving Mechanism of Urban Shrinkage in the Yellow River Basin from 2000 to 2020," Land, MDPI, vol. 11(8), pages 1-19, August.
    3. Lingyan Bao & Hua Pan & Zhen Zhang & Mengna Li & Shengqing Guo, 2025. "Fine-Grained Spatial Scale Evaluation of Regional Development Based on LJ-1 01 Nighttime Light Remote Sensing Image," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 177(1), pages 179-205, March.
    4. Na Jiang & Andrew T Crooks & Hamdi Kavak & Wenjing Wang, 2024. "Leveraging newspapers to understand urban issues: A longitudinal analysis of urban shrinkage in Detroit," Environment and Planning B, , vol. 51(5), pages 1089-1103, June.
    5. Zhenxing Jin & Chengxin Wang & Shangkun Yu & Shuai Zhang & Xiaoming Ding, 2022. "Spatiotemporal evolution and influencing factors of urban shrinkage in the Yellow River Basin, China," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-19, March.
    6. Changqing Sui & Wei Lu, 2021. "Study on the Urban Fringe Based on the Expansion–Shrinking Dynamic Pattern," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    7. Shangkun Yu & Chengxin Wang & Zhenxing Jin & Shuai Zhang & Yi Miao, 2022. "Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-25, August.
    8. Yihao Jiang & Zhaojin Chen & Pingjun Sun, 2022. "Urban Shrinkage and Urban Vitality Correlation Research in the Three Northeastern Provinces of China," IJERPH, MDPI, vol. 19(17), pages 1-22, August.

    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. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    2. Shao, Shuai & Zhang, Xuebin & Yang, Lili, 2023. "Natural resource dependence and urban shrinkage: The role of human capital accumulation," Resources Policy, Elsevier, vol. 81(C).
    3. Leonardo Bonilla-Mejía & Iv�n Higuera-Mendieta, 2017. "Political Alignment in the Time of Weak Parties: Electoral Advantages and Subnational Transfers in Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 15746, Banco de la República, Economía Regional.
    4. Brock, Gregory, 2015. "The informal economy of Rostov Oblast on the eve of the Ukrainian refugee crisis," Journal of Policy Modeling, Elsevier, vol. 37(5), pages 789-803.
    5. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    6. Anna Bruederle & Roland Hodler, 2018. "Nighttime lights as a proxy for human development at the local level," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-22, September.
    7. Phoebe W. Ishak & Pierre-Guillaume Méon, 2023. "A Resource-Rich Neighbor Is a Misfortune: The Spatial Distribution of the Resource Curse in Brazil," Economic Development and Cultural Change, University of Chicago Press, vol. 71(4), pages 1213-1247.
    8. Qian Chen & Tingting Ye & Naizhuo Zhao & Mingjun Ding & Zutao Ouyang & Peng Jia & Wenze Yue & Xuchao Yang, 2021. "Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest," Environment and Planning B, , vol. 48(7), pages 1876-1894, September.
    9. Nonso Obikili, 2015. "An Examination of Subnational Growth in Nigeria: 1999-2012," South African Journal of Economics, Economic Society of South Africa, vol. 83(3), pages 335-356, September.
    10. Konno, Akio & Kato, Hironori & Takeuchi, Wataru & Kiguchi, Riku, 2021. "Global evidence on productivity effects of road infrastructure incorporating spatial spillover effects," Transport Policy, Elsevier, vol. 103(C), pages 167-182.
    11. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2015. "Lights, Camera,... Income! Estimating Poverty Using National Accounts, Survey Means and Lights," LIS Working papers 645, LIS Cross-National Data Center in Luxembourg.
    12. Jain, Chandan & Kashyap, Shagun & Lahoti, Rahul & Sahoo, Soham, 2022. "Do Educated Leaders Affect Economic Development? Evidence from India," IZA Discussion Papers 15278, Institute of Labor Economics (IZA).
    13. Maxim L. Pinkovskiy & Xavier X. Sala-i-Martin, 2014. "Lights, camera,...income! Estimating poverty using national accounts, survey means, and lights," Staff Reports 669, Federal Reserve Bank of New York.
    14. Addison,Douglas M. & Stewart,Benjamin P., 2015. "Nighttime lights revisited : the use of nighttime lights data as a proxy for economic variables," Policy Research Working Paper Series 7496, The World Bank.
    15. Makkar, Karan, 2023. "Defector Politicians and Economic Growth: Evidence from India," European Journal of Political Economy, Elsevier, vol. 79(C).
    16. Idriss Fontaine & Sabine Garabedian & H l ne V r mes, 2022. "The current and future costs of tropical cyclones: A case study of La R union," TEPP Working Paper 2022-10, TEPP.
    17. Kammerlander, Andreas & Schulze, Günther G., 2023. "Local economic growth and infant mortality," Journal of Health Economics, Elsevier, vol. 87(C).
    18. Prakash, Nishith & Rockmore, Marc & Uppal, Yogesh, 2019. "Do criminally accused politicians affect economic outcomes? Evidence from India," Journal of Development Economics, Elsevier, vol. 141(C).
    19. Velilla, Raul & Bragança, Alexandre, 2020. "Coffee Price Shock and Local Economic Performance: Evidence from Colombia," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304432, Agricultural and Applied Economics Association.
    20. De Luca, Giacomo & Hodler, Roland & Raschky, Paul A. & Valsecchi, Michele, 2018. "Ethnic favoritism: An axiom of politics?," Journal of Development Economics, Elsevier, vol. 132(C), pages 115-129.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:11:y:2019:i:24:p:6906-:d:294217. 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.