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Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China

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  • Shangkun Yu
  • Chengxin Wang
  • Zhenxing Jin
  • Shuai Zhang
  • Yi Miao

Abstract

The three northeast provinces are typical areas of regional shrinkage in China. A scientific understanding of their shrinkage and driving mechanism is conducive to the transformation and development of traditional industrial bases in China. This study analyzed the spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale in the three provinces. The main findings are as follows: (1) 40.86% of counties in the three provinces shrank, forming three concentrated shrinking regions. However, comprehensively shrinking regions were narrowed and lessened with the introduction of the Northeast Area Revitalization Plan. (2) The population-related shrinking regions accounted for more than 90% and continued to expand. Such shrinkage was higher in the north than in the south. The degree of economy-related shrinkage was the most serious, and the hotspots were mainly concentrated in Liaoning Province. The scope of space-related shrinkage was most minor, and such shrinkage was relatively mild. (3) When it came to influencing factors, the shrinkage index was positively correlated with the proportion of the secondary industry, the output value of agriculture, forestry, animal husbandry and fishery, the number of industrial enterprises above the designated size, fiscal expenditure, and the balance of resident deposits, and negatively correlated with the altitude, the proportion of the tertiary industry, and population aging. Geographically weighted regression (GWR) and ordinary least squares (OLS) produced similar regression results. The spatial pattern of influencing factors was consistent with the hotspot areas of population-related shrinkage or economy-related shrinkage, with significant spatial differences.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0271909
    DOI: 10.1371/journal.pone.0271909
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    References listed on IDEAS

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    1. Ruili Wang & Chengxin Wang & Shuai Zhang & Xiaoming Ding, 2021. "A study on the spatial and temporal evolution of urban shrinkage and its influencing factors from a multidimensional perspective: A case study of resource-based cities in China," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-19, October.
    2. Wangchongyu Peng & Weijun Gao & Xin Yuan & Rui Wang & Jinming Jiang, 2019. "Spatiotemporal Differences in Determinants of City Shrinkage Based on Semiparametric Geographically Weighted Regression," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    3. Justin B. Hollander & Jeremy Németh, 2011. "The bounds of smart decline: a foundational theory for planning shrinking cities," Housing Policy Debate, Taylor & Francis Journals, vol. 21(3), pages 349-367, June.
    4. 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.
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