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author:

Chen, Zuoqi (Chen, Zuoqi.) [1] (Scholars:陈佐旗) | Yu, Siyi (Yu, Siyi.) [2] | You, Xiaojun (You, Xiaojun.) [3] | Yang, Chengshu (Yang, Chengshu.) [4] | Wang, Congxiao (Wang, Congxiao.) [5] | Lin, Juan (Lin, Juan.) [6] | Wu, Wenting (Wu, Wenting.) [7] (Scholars:吴文挺) | Yu, Bailang (Yu, Bailang.) [8]

Indexed by:

SSCI 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 urbanrural 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.

Keyword:

Landscape metrics Nighttime light Urban -rural difference

Community:

  • [ 1 ] [Chen, Zuoqi]Fuzhou Univ, Natl & Local Joint Engn Res Ctr Satellite Geospati, Key Lab Spatial Data Min, Informat Sharing Minist Educ, 35002, Fuzhou, Peoples R China
  • [ 2 ] [Wu, Wenting]Fuzhou Univ, Natl & Local Joint Engn Res Ctr Satellite Geospati, Key Lab Spatial Data Min, Informat Sharing Minist Educ, 35002, Fuzhou, Peoples R China
  • [ 3 ] [Chen, Zuoqi]Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
  • [ 4 ] [Wu, Wenting]Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
  • [ 5 ] [Yu, Siyi]Shanghai Univ Sport, Sch Econ & Management, 650 Qingyuanhuan Rd, Shanghai 200438, Peoples R China
  • [ 6 ] [You, Xiaojun]Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Peoples R China
  • [ 7 ] [Yang, Chengshu]Piesat Space & Remote Sensing Technol Shanghai Co, Shanghai 200062, Peoples R China
  • [ 8 ] [Wang, Congxiao]East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
  • [ 9 ] [Yu, Bailang]East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
  • [ 10 ] [Wang, Congxiao]East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
  • [ 11 ] [Yu, Bailang]East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
  • [ 12 ] [Lin, Juan]Fujian Normal Univ, Coll Tourism, Fuzhou 350007, Peoples R 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 Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:17

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 21

SCOPUS Cited Count: 24

ESI Highly Cited Papers on the List: 1 Unfold All

  • 2023-11

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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