Exploring spatiotemporal characteristics of economic development in Yunnan and Myanmar based on nighttime light remote sensing
LANG Yunfan1(), LI Yimin2,3(), LI Yuanting1, LIU Miao1, BAI Kebing2
1. Institute of International Rivers and Ecological Security,Yunnan University,Kunming 650500,China 2. School of Earth Sciences,Yunnan University,Kunming 650500,China 3. Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring,Kunming 650500,China
Investigating the regional economic development of Yunnan Province-a radiation center facing Southeast Asia-and Myanmar-a country along the Belt and Road Initiative-is of great significance for promoting the construction of a China-Myanmar community with a shared future. Based on NPP/VIIRS nighttime light data,as well as spatial analysis methods including the centroid model,standard deviation ellipse,and Moran's I index,this study analyzed the spatiotemporal characteristics of economic development in the Yunnan-Myanmar region from 2013 to 2022. The results indicate a significant correlation between nighttime light and gross domestic product (GDP) data in the Yunnan-Myanmar region. From 2013 to 2022,the total nighttime light intensity in the Yunnan-Myanmar region showed a steadily increasing trend. From the perspective of the characteristics of economic development direction in the region,the economic centroid generally shifted southwestward first and then northeastward. The area of the standard deviation ellipse trended upward from 2013 to 2020 but trended downward in 2022. The long axis of the ellipse showed an increasing trend before 2020 but decreased slightly thereafter,while the short axis showed a stable increasing trend. The azimuth remained largely unchanged. In terms of the spatial correlation of economic development in the region,areas with high nighttime light intensity were primarily concentrated in the central Yunnan urban agglomeration,while those with low nighttime light intensity were mainly distributed in the eastern and western parts of Myanmar. This study can provide a valuable reference for economic and trade exchanges between China and Myanmar,as well as for the implementation of the Belt and Road Initiative.
郎云帆, 李益敏, 李媛婷, 刘淼, 柏克冰. 基于夜光遥感的滇缅地区经济发展时空特征研究[J]. 自然资源遥感, 2025, 37(5): 233-242.
LANG Yunfan, LI Yimin, LI Yuanting, LIU Miao, BAI Kebing. Exploring spatiotemporal characteristics of economic development in Yunnan and Myanmar based on nighttime light remote sensing. Remote Sensing for Natural Resources, 2025, 37(5): 233-242.
Peng Z J. Present situation,difficulties and suggestions of Yunnan’s participation in the construction of China-Myanmar Economic Corridor[J]. Business & Economy, 2022(12):75-77.
Yan S X, Liu Z Q, Guo L F. The quantitative measurement of the unbalanced level of regional economic development in Shaanxi Province and the countermeasures[J]. Journal of Guizhou University (Natural Sciences), 2020, 37(1):119-124.
Yan C H, Ning C Y, Zhao Y J. Impacts of inter-provincial population mobility on regional economic growth in China-based on nonparametric statistics method[J]. Guangxi Sciences, 2023, 30(3):587-596.
Chen Y B, Zheng Z H, Wu Z F, et al. Review and prospect of application of nighttime light remote sensing data[J]. Progress in Geography, 2019, 38(2):205-223.
doi: 10.18306/dlkxjz.2019.02.005
Li D R, Li X. An overview on data mining of nighttime light remote sensing[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(6):591-601.
doi: 10.11947/j.AGCS.2015.20150149
Li D R, Li X. Applications of night-time light remote sensing in evaluating of socioeconomic development[J]. Journal of Macro-Quality Research, 2015, 3(4):1-8.
[9]
Marx A, Analysis of Panamanian DMSP/OLS nightlights corroborates suspicions of inaccurate fiscal data:A natural experiment examining the accuracy of GDP data[J]. Remote Sensing Applications:Society and Environment, 2017, 8:99-104.
[10]
Elvidge C D, Baugh K E, Kihn E A, et al. Relation between satellite observed visible-near infrared emissions,population,economic activity and electric power consumption[J]. International Journal of Remote Sensing, 1997, 18(6):1373-1379.
Wang L, Zhong H W, Xu Z H, et al. Quantitative identification and classification of the nighttime economic agglomeration based on the Luojia-01 NTL data and pole-axis theory[J]. Journal of Geo-Information Science, 2022, 24(11):2141-2152.
Li Y M, Fu X F, Li Y T, et al. Spatio-temporal features of economic development in Southeast Asian countries based on nighttime light remote sensing[J]. Journal of Nanjing University of Information Science & Technology, 2024, 16(3):374-385.
Zhu H, Zhang Q L, Zhang S. Spatial and temporal characteristics of socio-economic development in central Asia based on a series of nighttime light images from 1992 to 2017[J]. Journal of Geo-Information Science, 2020, 22(7):1449-1462.
Guo Y D, Gao J H, Ma H B. Spatial correlation analysis of Suomi-NPP nighttime light data and GDP data[J]. Journal of Tsinghua University (Science and Technology), 2016, 56(10):1122-1130.
Li L Y, Sun Z X, Long X. The study of trade development between “the Belt and Road Initiative” countries along the line and China[J]. Journal of Quantitative & Technological Economics, 2018, 35(3):39-58.
[16]
Doll C H, Muller J P, Elvidge C D. Night-time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions[J]. AMBIO:A Journal of the Human Environment, 2000, 29(3):157.
Li J Z, Zheng Z B, Zhang R F, et al. Remote observation of economic spatial pattern for Gannan and Minxi based on NPP/VIIRS nighttime imagery:A case study of the former soviet areas in southern Jiangxi and western Fujian[J]. Journal of Gannan Normal University, 2020, 41(3):83-90.
Chen C, Ma Y, Jiang T. Spatial and temporal simulation analysis of urban economic parameters of the Shandong Peninsula based on DMSP/OLS night-time light remote sensing[J]. Journal of Ocean Technology, 2020, 39(1):10-18.
Wang Q. The economic development process and prospects of the four least developed countries in Southeast Asia[J]. South and Southeast Asian Studies, 2023(1):105-115,156.
Li C Y, Meng Z J, Luo S R. The construction of the China-Myanmar Economic Corridor under the Belt and Road Initiative:Core contents,challenges and paths forward.[J]. South Asian Studies, 2019(4):112-133,157-158.
Li Y, Zhao Y, Xia S Y. Safety evaluation and classification of cross-border oil and gas transportation pipelines in China[J]. Journal of Natural Resources, 2024, 39(3):547-563.
doi: 10.31497/zrzyxb.20240304