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[期刊论文]

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

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author:

Shen, Neng (Shen, Neng.) [1] | Zhang, Guoping (Zhang, Guoping.) [2] | Zhang, Lin (Zhang, Lin.) [3] | Unfold

Indexed by:

EI

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. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

Keyword:

Abiotic Biotic Ecosystems

Community:

  • [ 1 ] [Shen, Neng]School of Economics and Management, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Guoping]School of Economics and Management, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 3 ] [Zhang, Lin]School of Economics and Management, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 4 ] [Lam, Johnny F. I.]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, China
  • [ 5 ] [Feng, Linjie]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, China

Reprint 's Address:

  • [feng, linjie]faculty of humanities and social sciences, macao polytechnic university, 999078, china

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Source :

Environmental Monitoring and Assessment

ISSN: 0167-6369

Year: 2025

Issue: 5

Volume: 197

2 . 9 0 0

JCR@2023

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

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