Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data

Eliminating poverty, reducing inequality, and achieving balanced development are one of the United Nations Sustainable Development Goals. Objectively and accurately measuring regional economic vitality and development equilibrium is a pressing scientific issue that needs to be addressed in order to...

Full description

Saved in:
Bibliographic Details
Main Authors: Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Zhenqing Wang, Zhuochen Wang, Yanchao Wang, Xinran Wang, Luoyao Hao, Futao Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/23/4571
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849220437664333824
author Saimiao Liu
Wenliang Liu
Yi Zhou
Shixin Wang
Zhenqing Wang
Zhuochen Wang
Yanchao Wang
Xinran Wang
Luoyao Hao
Futao Wang
author_facet Saimiao Liu
Wenliang Liu
Yi Zhou
Shixin Wang
Zhenqing Wang
Zhuochen Wang
Yanchao Wang
Xinran Wang
Luoyao Hao
Futao Wang
author_sort Saimiao Liu
collection DOAJ
description Eliminating poverty, reducing inequality, and achieving balanced development are one of the United Nations Sustainable Development Goals. Objectively and accurately measuring regional economic vitality and development equilibrium is a pressing scientific issue that needs to be addressed in order to achieve common prosperity. Nighttime light (NTL) remote sensing data have been proven to be a good proxy variable for socio-economic development, and are widely used due to their advantages of convenient access and wide spatial coverage. Based on multi-source data, this study constructs an Economic Development Index (EDI) that comprehensively reflects regional economic vitality from two aspects, economic quality and development potential, combines the Nighttime Light Development Index (NLDI) as the evaluation indicators to measure the economic vitality and development equilibrium, analyzes the economic vitality and development equilibrium of 300 district and county units in China’s three major urban agglomerations from 2000 to 2020 and their temporal and spatial variation characteristics, and discusses the connotation of EDI and its availability. The results show the following: (1) From 2000 to 2020, the average growth rate of EDI in China’s three major urban agglomerations reached 36.32%, while the average decrease rate of NLDI reached 38.75%; both economic vitality and the development equilibrium have been continuously enhanced. Among them, the Yangtze River Delta (YRD) urban agglomeration experienced the fastest economic growth, while the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) exhibited the strongest economic strength. (2) Both economic vitality and the development equilibrium in these three urban agglomerations exhibited distinct spatial agglomeration characteristics, namely center-surrounding distribution, coastal–inland distribution, and radial belt–pole distribution, respectively. (3) Over the past two decades, the economic development of these three urban agglomerations has progressed towards the pattern of regional coordinated development, pole-driven development and urban–rural integrated development. The research results can provide new research perspectives and scientific support for promoting regional balanced development, achieving sustainable development goals, and reducing inequality.
format Article
id doaj-art-105c43e75ec44cb28afd7ffb94e8cb91
institution Kabale University
issn 2072-4292
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj-art-105c43e75ec44cb28afd7ffb94e8cb912024-12-13T16:31:18ZengMDPI AGRemote Sensing2072-42922024-12-011623457110.3390/rs16234571Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light DataSaimiao Liu0Wenliang Liu1Yi Zhou2Shixin Wang3Zhenqing Wang4Zhuochen Wang5Yanchao Wang6Xinran Wang7Luoyao Hao8Futao Wang9Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaEliminating poverty, reducing inequality, and achieving balanced development are one of the United Nations Sustainable Development Goals. Objectively and accurately measuring regional economic vitality and development equilibrium is a pressing scientific issue that needs to be addressed in order to achieve common prosperity. Nighttime light (NTL) remote sensing data have been proven to be a good proxy variable for socio-economic development, and are widely used due to their advantages of convenient access and wide spatial coverage. Based on multi-source data, this study constructs an Economic Development Index (EDI) that comprehensively reflects regional economic vitality from two aspects, economic quality and development potential, combines the Nighttime Light Development Index (NLDI) as the evaluation indicators to measure the economic vitality and development equilibrium, analyzes the economic vitality and development equilibrium of 300 district and county units in China’s three major urban agglomerations from 2000 to 2020 and their temporal and spatial variation characteristics, and discusses the connotation of EDI and its availability. The results show the following: (1) From 2000 to 2020, the average growth rate of EDI in China’s three major urban agglomerations reached 36.32%, while the average decrease rate of NLDI reached 38.75%; both economic vitality and the development equilibrium have been continuously enhanced. Among them, the Yangtze River Delta (YRD) urban agglomeration experienced the fastest economic growth, while the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) exhibited the strongest economic strength. (2) Both economic vitality and the development equilibrium in these three urban agglomerations exhibited distinct spatial agglomeration characteristics, namely center-surrounding distribution, coastal–inland distribution, and radial belt–pole distribution, respectively. (3) Over the past two decades, the economic development of these three urban agglomerations has progressed towards the pattern of regional coordinated development, pole-driven development and urban–rural integrated development. The research results can provide new research perspectives and scientific support for promoting regional balanced development, achieving sustainable development goals, and reducing inequality.https://www.mdpi.com/2072-4292/16/23/4571Nighttime Light Development Index (NLDI)urban agglomerationeconomic vitalitydevelopment equilibriumSustainable Development Goals (SDGs)
spellingShingle Saimiao Liu
Wenliang Liu
Yi Zhou
Shixin Wang
Zhenqing Wang
Zhuochen Wang
Yanchao Wang
Xinran Wang
Luoyao Hao
Futao Wang
Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data
Remote Sensing
Nighttime Light Development Index (NLDI)
urban agglomeration
economic vitality
development equilibrium
Sustainable Development Goals (SDGs)
title Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data
title_full Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data
title_fullStr Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data
title_full_unstemmed Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data
title_short Analysis of Economic Vitality and Development Equilibrium of China’s Three Major Urban Agglomerations Based on Nighttime Light Data
title_sort analysis of economic vitality and development equilibrium of china s three major urban agglomerations based on nighttime light data
topic Nighttime Light Development Index (NLDI)
urban agglomeration
economic vitality
development equilibrium
Sustainable Development Goals (SDGs)
url https://www.mdpi.com/2072-4292/16/23/4571
work_keys_str_mv AT saimiaoliu analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT wenliangliu analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT yizhou analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT shixinwang analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT zhenqingwang analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT zhuochenwang analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT yanchaowang analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT xinranwang analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT luoyaohao analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata
AT futaowang analysisofeconomicvitalityanddevelopmentequilibriumofchinasthreemajorurbanagglomerationsbasedonnighttimelightdata