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author:

Chen, Z. (Chen, Z..) [1] | Yu, S. (Yu, S..) [2] | You, X. (You, X..) [3] | Yang, C. (Yang, C..) [4] | Wang, C. (Wang, C..) [5] | Lin, J. (Lin, J..) [6] | Wu, W. (Wu, W..) [7] | Yu, B. (Yu, B..) [8]

Indexed by:

Scopus

Abstract:

The urban-rural difference in economy is a key indicator of urban sustainability and socio-economic development, especially when the rapid urbanization has taken place in China. Scientific understanding of the urban-rural economy difference will help the future urbanization process and policy decisions. Different from the traditional analysis based on statistical data, we have conceptualized the novel nighttime light landscape metrics, by analogy to traditional landscape metrics, to reveal the rural and urban economic development, as well as their differences from multi-perspectives (e.g., economic volume and economic expansion). Taking all towns in Fujian province as examples, we found from 2000 to 2020 the urban economic development presents a decoupling between the economic volume and economic space, which satisfies the criteria of high-quality urbanization. The rural economy has a rapid development mainly via the rural construction and structural transformation, which furthermore caused the differences between the coastal and inland urban-rural economic differentiation. Our empirical results indicate the novel nighttime light landscape metrics are valuable indicators to facilitate the analysis of economy distribution and evolution. Also, owing to the conceptualization of traditional landscape metrics, the nighttime light landscape metrics can be further enriched to reveal more information of economic development, even of other fields. © 2022 Elsevier Ltd

Keyword:

Landscape metrics Nighttime light Urban-rural difference

Community:

  • [ 1 ] [Chen, Z.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, 35002, China
  • [ 2 ] [Chen, Z.]The Academy of Digital China, Fuzhou University, Fuzhou, 350002, China
  • [ 3 ] [Yu, S.]School of Economic and Management, Shanghai University of Sport, 650 Qingyuanhuan Rd, Shanghai, 200438, China
  • [ 4 ] [You, X.]School of Geographical Sciences, Fujian Normal University, Fuzhou, 350007, China
  • [ 5 ] [Yang, C.]Piesat Space and Remote Sensing Technology (Shanghai) Company Limited, Shanghai, 200062, China
  • [ 6 ] [Wang, C.]Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China
  • [ 7 ] [Wang, C.]School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
  • [ 8 ] [Lin, J.]College of Tourism, Fujian Normal University, Fuzhou, 350007, China
  • [ 9 ] [Wu, W.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, 35002, China
  • [ 10 ] [Wu, W.]The Academy of Digital China, Fuzhou University, Fuzhou, 350002, China
  • [ 11 ] [Yu, B.]Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China
  • [ 12 ] [Yu, B.]School of Geographic Sciences, East China Normal University, Shanghai, 200241, China

Reprint 's Address:

  • [Yu, B.]Key Laboratory of Geographic Information Science (Ministry of Education), China

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Source :

Applied Geography

ISSN: 0143-6228

Year: 2023

Volume: 150

4 . 0

JCR@2023

4 . 0 0 0

JCR@2023

ESI HC Threshold:17

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 36

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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