ORIGINAL RESEARCH
Spatiotemporal Evolution Characteristics
and Driving Forces of Regional Sustainable
Innovation Efficiency
in the Yangtze River Delta Region
			
	
 
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				1
				School of Geographic Science, Nantong University, Nantong 226019, China
				 
			 
						
				2
				Yangtze River Economic Zone Research Institution of Jiangsu, Nantong 226019, China
				 
			 
										
				
				
		
		 
			
			
			
			 
			Submission date: 2024-09-10
			 
		 		
		
			
			 
			Final revision date: 2024-12-06
			 
		 		
		
		
			
			 
			Acceptance date: 2024-12-16
			 
		 		
		
			
			 
			Online publication date: 2025-02-17
			 
		 		
		
		 
	
							
										    		
    			 
    			
    				    					Corresponding author
    					    				    				
    					Lei  Ye   
    					School of Geographic Science, Nantong University, Nantong 226019, China
    				
 
    			
				 
    			 
    		 		
			
												 
		
	 
		
 
 
		
 
 
KEYWORDS
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ABSTRACT
Sustainable innovation is a new paradigm for innovative development related to sustainable
development. This paper selects 41 cities in the Yangtze River Delta region from 2012 to 2021.
It applies the super-efficiency SBM-Undesirable model to measure regional sustainable innovation
efficiency (RSIE). It introduces the standard deviation ellipse, the Hurst index, spatial econometric
models, etc., to depict the spatial pattern, spatiotemporal evolution, and the driving forces of the RSIE.
The results show that: 1) The RSIE in the study region showed a basic trend of fluctuation and increase
during the study period, with regional differences decreasing year by year. 2) The RSIE is distributed
in a “southeast-northwest” direction, and the center of gravity is shifted in a spatial characteristic of
“first to the south, then to the north”. 3) Nanjing, Hangzhou, and their surrounding areas will emerge as
the future growth poles for the RSIE. 4) A favorable socio-cultural and innovative learning environment,
high salary levels, and enterprise clustering boost the RSIE, while unreasonable government funding
and environmental regulation hinder it. Both government funding and enterprise clustering exhibit
positive spatial spillovers, while infrastructure has negative ones.