Spatiotemporal evolution characteristics of ecological niche fitness in regional innovation ecosystem: province-level evidence from China.

Saved in:
Bibliographic Details
Title: Spatiotemporal evolution characteristics of ecological niche fitness in regional innovation ecosystem: province-level evidence from China.
Authors: Shen, Neng1 (AUTHOR) sndlu@163.com, Zhang, Guoping1 (AUTHOR) zgp27182@163.com, Zhang, Lin1 (AUTHOR) Zhanglin_Daniel@163.com, Lam, Johnny F. I.2 (AUTHOR) filam@mpu.edu.mo, Feng, Linjie2 (AUTHOR) fenglinjie@fzfu.edu.cn
Source: Environmental Monitoring & Assessment. May2025, Vol. 197 Issue 5, p1-20. 20p.
Subject Terms: *Regional disparities, *Matthew effect, *Biological fitness, *Gini coefficient, *Regional differences
Abstract: China needs to promptly establish a globally competitive innovative ecosystem to ensure high-quality development of the economy. This study introduces an ecosystem characterized by innovative populations, nutrients, and biotope. We employ a suitability model embedded in the WAWBO operator that assesses the ecological niches of regional innovation systems from 2012 to 2021, followed by an in-depth study of regional differences and spatial correlations of innovation ecological niches. The investigation indicated that the national innovation niche is generally stable and shows an increasing trend. Nevertheless, the overall suitability is low, and there is a notable opportunity for improvement. Furthermore, there are regional differences in the eastern, central, and western areas, and the Gini coefficient within each region shows a clear trend of "east > central > west," demonstrating a noticeable Matthew effect. Lastly, the national innovation ecological niches display a distinct clustering pattern with low values. This study contends that it is crucial to enhance the mutually beneficial relationship between innovation subjects, logically allocate resources, reduce regional disparities, and maximize the innovation environment. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 185238755
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Spatiotemporal evolution characteristics of ecological niche fitness in regional innovation ecosystem: province-level evidence from China.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Shen%2C+Neng%22">Shen, Neng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sndlu@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Guoping%22">Zhang, Guoping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zgp27182@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lin%22">Zhang, Lin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Zhanglin_Daniel@163.com</i><br /><searchLink fieldCode="AR" term="%22Lam%2C+Johnny+F%2E+I%2E%22">Lam, Johnny F. I.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> filam@mpu.edu.mo</i><br /><searchLink fieldCode="AR" term="%22Feng%2C+Linjie%22">Feng, Linjie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> fenglinjie@fzfu.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Environmental+Monitoring+%26+Assessment%22">Environmental Monitoring & Assessment</searchLink>. May2025, Vol. 197 Issue 5, p1-20. 20p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Regional+disparities%22">Regional disparities</searchLink><br />*<searchLink fieldCode="DE" term="%22Matthew+effect%22">Matthew effect</searchLink><br />*<searchLink fieldCode="DE" term="%22Biological+fitness%22">Biological fitness</searchLink><br />*<searchLink fieldCode="DE" term="%22Gini+coefficient%22">Gini coefficient</searchLink><br />*<searchLink fieldCode="DE" term="%22Regional+differences%22">Regional differences</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: China needs to promptly establish a globally competitive innovative ecosystem to ensure high-quality development of the economy. This study introduces an ecosystem characterized by innovative populations, nutrients, and biotope. We employ a suitability model embedded in the WAWBO operator that assesses the ecological niches of regional innovation systems from 2012 to 2021, followed by an in-depth study of regional differences and spatial correlations of innovation ecological niches. The investigation indicated that the national innovation niche is generally stable and shows an increasing trend. Nevertheless, the overall suitability is low, and there is a notable opportunity for improvement. Furthermore, there are regional differences in the eastern, central, and western areas, and the Gini coefficient within each region shows a clear trend of "east > central > west," demonstrating a noticeable Matthew effect. Lastly, the national innovation ecological niches display a distinct clustering pattern with low values. This study contends that it is crucial to enhance the mutually beneficial relationship between innovation subjects, logically allocate resources, reduce regional disparities, and maximize the innovation environment. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=185238755
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10661-025-13978-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1
    Subjects:
      – SubjectFull: Regional disparities
        Type: general
      – SubjectFull: Matthew effect
        Type: general
      – SubjectFull: Biological fitness
        Type: general
      – SubjectFull: Gini coefficient
        Type: general
      – SubjectFull: Regional differences
        Type: general
    Titles:
      – TitleFull: Spatiotemporal evolution characteristics of ecological niche fitness in regional innovation ecosystem: province-level evidence from China.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shen, Neng
      – PersonEntity:
          Name:
            NameFull: Zhang, Guoping
      – PersonEntity:
          Name:
            NameFull: Zhang, Lin
      – PersonEntity:
          Name:
            NameFull: Lam, Johnny F. I.
      – PersonEntity:
          Name:
            NameFull: Feng, Linjie
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 01676369
          Numbering:
            – Type: volume
              Value: 197
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Environmental Monitoring & Assessment
              Type: main
ResultId 1