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Fine-Grained Spatial Scale Evaluation of Regional Development Based on LJ-1 01 Nighttime Light Remote Sensing Image

Author

Listed:
  • Lingyan Bao

    (Yunan College of Business Management)

  • Hua Pan

    (Yunan College of Business Management)

  • Zhen Zhang

    (Kunming University of Science and Technology)

  • Mengna Li

    (Yunan College of Business Management)

  • Shengqing Guo

    (Yunan College of Business Management)

Abstract

The brightness and distribution of anthropogenic illumination at night can indirectly reveal the economic prosperity and development level in human settlement areas. Nighttime light (NTL) remote sensing can be used for statistics, intuitively and timely grasping the dynamic development of the region, without being limited by actual statistical time and administrative regions. Regional socio-economic development index (RDI) comprehensively considering society, economy, healthcare, education, and transportation factors was constructed in this paper. On this basis, the LJ-1 01 remote sensing image with high spatial resolution was used to explore its potential in estimating the RDI for fine-grained scale (at county and township levels). Subsequently, Zipf’s law was conducted to evaluate balance and distribution of regional development at the county and township levels for Yunnan Province, China in 2018.The results indicate that at the county-level spatial scale, the RDI estimation model constructed using the NTL data in this paper demonstrates relatively high stability for both the third-degree polynomial function (R2 = 0.7775, RMSE = 0.0677) and the power function (R2 = 0.762, RMSE = 0.0731). Then at the township-level spatial scale, the power function estimation performs the best, with an R2 reaching 0.6664. The power function is optimal for evaluating socio-economic development at fine-grained spatial scales. Furthermore, Yunnan Province exhibits relatively balanced development at the county level with a better performance of Zip’s value (q = 0.7851), nevertheless unbalanced development at the township level (q = 1.2421). Regions with imbalanced socio-economic development (lower RDI and high q values) are mainly located in areas with complex terrain and inconvenient transportation. This study can enrich the understanding of socio-economic regional development, narrowing regional disparities and achieving high-quality and sustainable development for future growth.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:soinre:v:177:y:2025:i:1:d:10.1007_s11205-024-03513-6
    DOI: 10.1007/s11205-024-03513-6
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    References listed on IDEAS

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    1. Maria Simona Andreano & Roberto Benedetti & Federica Piersimoni & Giovanni Savio, 2021. "Mapping Poverty of Latin American and Caribbean Countries from Heaven Through Night-Light Satellite Images," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 533-562, August.
    2. 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.
    3. Anja Shortland & Katerina Christopoulou & Charalampos Makatsoris, 2013. "War and famine, peace and light? The economic dynamics of conflict in Somalia 1993–2009," Journal of Peace Research, Peace Research Institute Oslo, vol. 50(5), pages 545-561, September.
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