Spatiotemporal evolution characteristics of ecological niche fitness in regional innovation ecosystem: province-level evidence from China.
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| Title: | Spatiotemporal evolution characteristics of ecological niche fitness in regional innovation ecosystem: province-level evidence from China. |
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| 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 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 185238755 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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