Spatial effects of innovation ecosystem development on low-carbon transition

被引:12
作者
Cao, Bin [1 ]
Meng, Fanlin [1 ]
Li, Bingjun [1 ]
机构
[1] Henan AgriculOal Univ, Coll Informat & Management Sci, Zhengzhou 450046, Henan, Peoples R China
关键词
Innovation ecosystem; Low-carbon transition; Spatial effect; Stage characteristics; PERSPECTIVE; EFFICIENCY; EMISSION; PATTERNS; KEY;
D O I
10.1016/j.ecolind.2023.111277
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
In the context of innovation-driven development, the effective transformation of the low-carbon economy increasingly relies on the innovation ecosystem in which it exists. In order to explore the spatial effect of the innovation ecosystem on low-carbon transformation, this study comprehensively measures the innovation ecosystem and low-carbon transformation level based on China's provincial panel data from 2015 to 2020 and use the spatial Durbin model to analyze the impact of the innovation ecosystem on low-carbon transition. The main conclusions are as follows: (1) There is apparent spatial heterogeneity in the development of innovation ecosystems, and the development pattern shows "cluster-type" agglomeration characteristics. However, the development level gap between provinces has remained the same. The southeast coastal economic zone has become an essential high-level development level of innovation ecosystems. (2) The innovation ecosystem has a significant spatial spillover effect on low-carbon transition. This conclusion still holds after multiple robustness tests. (3) In the process of low-carbon transition, the driving effect of the innovation ecosystem shows a "U" shaped stage characteristic of first decreasing and then increasing. (4) The impact of the innovation ecosystem on low-carbon transition varies within different economic circles. Spatial spillover has a boundary effect and the spillover peaks at 1200 km. This study provides theoretical support and empirical evidence based on China's situation for transforming and developing a low-carbon economy. It provides important policy implications for accelerating low-carbon technological innovation, promoting sustainable development, and responding to climate change.
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页数:15
相关论文
共 83 条
[1]   Strategic Decision Speed and International Performance: The Roles of Competitive Intensity, Resource Flexibility, and Structural Organicity [J].
Adomako, Samuel ;
Frimpong, Kwabena ;
Amankwah-Amoah, Joseph ;
Donbesuur, Francis ;
Opoku, Robert A. .
MANAGEMENT INTERNATIONAL REVIEW, 2021, 61 (01) :27-55
[2]   Connecting genomic patterns of local adaptation and niche suitability in teosintes [J].
Aguirre-Liguori, J. A. ;
Tenaillon, M. I. ;
Vazquez-Lobo, A. ;
Gaut, B. S. ;
Jaramillo-Correa, J. P. ;
Montes-Hernandez, S. ;
Souza, V. ;
Eguiarte, L. E. .
MOLECULAR ECOLOGY, 2017, 26 (16) :4226-4240
[3]  
Amitrano CC, 2017, INT J INNOV TECHNOL, V14, DOI 10.1142/S0219877017500304
[5]   Proximity and Innovation: From Statics to Dynamics [J].
Balland, Pierre-Alexandre ;
Boschma, Ron ;
Frenken, Koen .
REGIONAL STUDIES, 2015, 49 (06) :907-920
[6]   Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation [J].
Benitez, Guilherme Brittes ;
Ayala, Nestor Fabian ;
Frank, Alejandro G. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 228
[7]   A Spatial-Temporal Analysis of Cultural and Creative Industries with Micro-Geographic Disaggregation [J].
Boal-San Miguel, Ivan ;
Cesar Herrero-Prieto, Luis .
SUSTAINABILITY, 2020, 12 (16)
[8]   Plays nice with others? Multiple ecosystems, various roles and divergent engagement models [J].
Bosch-Sijtsema, Petra M. ;
Bosch, Jan .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2015, 27 (08) :960-974
[9]   Designing industrial strategy for a low carbon transformation [J].
Busch, Jonathan ;
Foxon, Timothy J. ;
Taylor, Peter G. .
ENVIRONMENTAL INNOVATION AND SOCIETAL TRANSITIONS, 2018, 29 :114-125
[10]  
Cai BQ, 2018, EKOLOJI, V27, P1123