ORIGINAL RESEARCH
Technological Innovation, Environmental
Regulation, and Green Total Factor
Productivity in the Logistics Industry:
Dynamic Spatial Durbin Model Analysis
			
	
 
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				1
				School of Economics and Management, Chang’an University, Xi’an 710064, Shaanxi, China
				 
			 
						
				2
				School of Transportation Engineering, Chang’an University, Xi’an 710064, Shaanxi, China
				 
			 
										
				
				
		
		 
			
			
			
			 
			Submission date: 2023-08-20
			 
		 		
		
			
			 
			Final revision date: 2023-11-12
			 
		 		
		
		
			
			 
			Acceptance date: 2023-11-23
			 
		 		
		
			
			 
			Online publication date: 2024-02-21
			 
		 		
		
			
			 
			Publication date: 2024-04-09
			 
		 			
		 
	
							
																				    		
    			 
    			
    				    					Corresponding author
    					    				    				
    					Wenlong  Zheng   
    					School of Economics and Management, Chang’an University, Xi’an 710064, Shaanxi, China
    				
 
    			
				 
    			 
    		 		
			
																	 
		
	 
		
 
 
Pol. J. Environ. Stud. 2024;33(3):3471-3488
		
 
 
KEYWORDS
TOPICS
ABSTRACT
Improving the logistics industry’s green total factor productivity (LGTFP) is a key source of power to
achieve its high-quality development (HQD) in China. Technological innovation (TI) and environmental
regulation (ER) policies are vital factors that affect the improvement of LGTFP. Although the impact of
ERs or TI on LGTFP has been extensively researched, few studies have examined their combined effect.
This study utilizes panel data from 30 Chinese provinces during 2006–2020 to estimate LGTFP using
the Epsilon-based measure and global Malmquist–Luenberger index. Moreover, this study employs
a dynamic spatial Durbin model to explore the influence of TI on LGTFP and its spatial spillovers,
as well as the modulatory effect of ER in the relations between TI and LGTFP. The results show that
(1) China’s LGTFP displays positive spatial spillovers and is influenced by the preceding period’s level.
(2) In the short term, an improvement in TI levels had a positive effect on local LGTFP, but negative
spillovers on neighboring districts. Nevertheless, in the long run, an improvement in TI levels had
a notably negative influence on local LGTFP but positive spillovers on adjacent regions. (3) ER had
an “inverted U-shaped” modulatory roles with spatial spillovers on the relations between TI and
LGTFP in the long-term. These discoveries offer valuable insights into the coordinated development
of TI systems and ER policies, enabling the formation of a policy system that aligns with the logistics
industry’s HQD in China.