Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images
Abstract The Luojia 1–01 (LJ1-01) night lighting satellite's superior spatial information capture capability provides conditions for accurate assessment of regional wealth distribution inequality (RWDI) at a small scale. This paper evaluated the wealth Gini coefficient (WGC) of 2,853 counties a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2024-01-01
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| Series: | Computational Urban Science |
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| Online Access: | https://doi.org/10.1007/s43762-023-00114-w |
| _version_ | 1797355935076712448 |
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| author | Banshao Hu Weixin Zhai Dong Li Junqing Tang |
| author_facet | Banshao Hu Weixin Zhai Dong Li Junqing Tang |
| author_sort | Banshao Hu |
| collection | DOAJ |
| description | Abstract The Luojia 1–01 (LJ1-01) night lighting satellite's superior spatial information capture capability provides conditions for accurate assessment of regional wealth distribution inequality (RWDI) at a small scale. This paper evaluated the wealth Gini coefficient (WGC) of 2,853 counties and 31 provinces in mainland China to establish a comprehensive picture of inequalities at county-level regions in China as a whole, using data from LJ1-01 and the Suomi National Polar Orbiter Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The WGC values (LJ-Gini) calculated by the LJ1-01 data are always higher than those (NPP-Gini) based on NPP-VIIRS, and the mean of the ratio between them is 1.7. Compared with NPP-Gini, LJ-Gini showed sensitivity to low RWDI areas. The average county and provincial LJ-Gini are statistically consistent, 0.77 and 0.78; County LJ-Gini’s volatility is significantly higher than that of the provincial LJ-Gini, with standard deviations (SD) 0.13 and 0.096. The differences of RWDI in the regions within some provinces are more significant than in other provinces. For example, the SD of Tibet is 0.31, while all provinces' average SD is 0.13. In addition, this paper establishes a grading criterion based on the normal distribution abstracted from provincial LJ-Gini to reflect the corresponding relationship between the LJ-Gini value and the five inequality ranks. Totally, RWDI demonstrates heterogeneity at various spatial scales and regions, and it correlates negatively with economic development. The superior performance of LJ1-01 data in evaluating county-level RWDI demonstrates its potential to evaluate RWDI on a smaller scale, such as communities and streets. |
| first_indexed | 2024-03-08T14:18:21Z |
| format | Article |
| id | doaj.art-9928bb967a8f4ef292b82f1c2978c37e |
| institution | Directory Open Access Journal |
| issn | 2730-6852 |
| language | English |
| last_indexed | 2024-03-08T14:18:21Z |
| publishDate | 2024-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Computational Urban Science |
| spelling | doaj.art-9928bb967a8f4ef292b82f1c2978c37e2024-01-14T12:15:31ZengSpringerComputational Urban Science2730-68522024-01-01411810.1007/s43762-023-00114-wApplication note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light imagesBanshao Hu0Weixin Zhai1Dong Li2Junqing Tang3College of Information and Electrical Engineering, China Agricultural UniversityCollege of Information and Electrical Engineering, China Agricultural UniversityCollege of Information and Electrical Engineering, China Agricultural UniversitySchool of Urban Planning and Design, Shenzhen Graduate School, Peking UniversityAbstract The Luojia 1–01 (LJ1-01) night lighting satellite's superior spatial information capture capability provides conditions for accurate assessment of regional wealth distribution inequality (RWDI) at a small scale. This paper evaluated the wealth Gini coefficient (WGC) of 2,853 counties and 31 provinces in mainland China to establish a comprehensive picture of inequalities at county-level regions in China as a whole, using data from LJ1-01 and the Suomi National Polar Orbiter Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The WGC values (LJ-Gini) calculated by the LJ1-01 data are always higher than those (NPP-Gini) based on NPP-VIIRS, and the mean of the ratio between them is 1.7. Compared with NPP-Gini, LJ-Gini showed sensitivity to low RWDI areas. The average county and provincial LJ-Gini are statistically consistent, 0.77 and 0.78; County LJ-Gini’s volatility is significantly higher than that of the provincial LJ-Gini, with standard deviations (SD) 0.13 and 0.096. The differences of RWDI in the regions within some provinces are more significant than in other provinces. For example, the SD of Tibet is 0.31, while all provinces' average SD is 0.13. In addition, this paper establishes a grading criterion based on the normal distribution abstracted from provincial LJ-Gini to reflect the corresponding relationship between the LJ-Gini value and the five inequality ranks. Totally, RWDI demonstrates heterogeneity at various spatial scales and regions, and it correlates negatively with economic development. The superior performance of LJ1-01 data in evaluating county-level RWDI demonstrates its potential to evaluate RWDI on a smaller scale, such as communities and streets.https://doi.org/10.1007/s43762-023-00114-wLuojia 1–01 (LJ1-01)Gini coefficientRegional wealth distribution inequality |
| spellingShingle | Banshao Hu Weixin Zhai Dong Li Junqing Tang Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images Computational Urban Science Luojia 1–01 (LJ1-01) Gini coefficient Regional wealth distribution inequality |
| title | Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images |
| title_full | Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images |
| title_fullStr | Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images |
| title_full_unstemmed | Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images |
| title_short | Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images |
| title_sort | application note evaluation of the gini coefficient at the county level in mainland china based on luojia 1 01 nighttime light images |
| topic | Luojia 1–01 (LJ1-01) Gini coefficient Regional wealth distribution inequality |
| url | https://doi.org/10.1007/s43762-023-00114-w |
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