ORIGINAL RESEARCH
Research on the Demand Forecast for Aviation
Transportation Flight Technicians under the
Background of Carbon Emission Reduction
			
	
 
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				1
				School of Economics and Management, Civil Aviation University of China, Tianjin 300300, China
				 
			 
						
				2
				Business School, Nankai University, Tianjin 300071, China
				 
			 
						
				3
				Flight branch School, Civil Aviation University of China, Tianjin 300300, China
				 
			 
										
				
				
		
		 
			
			
			
			 
			Submission date: 2025-02-18
			 
		 		
		
			
			 
			Final revision date: 2025-05-01
			 
		 		
		
		
			
			 
			Acceptance date: 2025-05-13
			 
		 		
		
			
			 
			Online publication date: 2025-07-21
			 
		 		
		
		 
	
							
					    		
    			 
    			
    				    					Corresponding author
    					    				    				
    					Gang  Zeng   
    					School of Economics and Management, Civil Aviation University of China, 300300, Tianjin, China
    				
 
    			
				 
    			 
    		 		
			
																		    		
    			 
    			
    				    				
    					Yulong  Shen   
    					Flight branch School, Civil Aviation University of China, Tianjin 300300, China
    				
 
    			
				 
    			 
    		 		
			
																	 
		
	 
		
 
 
		
 
 
KEYWORDS
TOPICS
ABSTRACT
Carbon emissions from the aviation industry pose a considerable challenge to climate change.
Direct emissions from aviation into the atmosphere notably impact climate change. To control pollution,
the Chinese government has set the goal of “carbon peaking by 2030 and carbon neutrality by 2060”.
This article explores the demand forecasting issue for aviation transportation flight technicians based
on aviation carbon emission reduction background, which is conducive to the industry’s high-quality
development. The article constructs a demand forecasting model for aviation flight technicians based on
the gray GM(1,1) model and accurately predicts the number of aviation transportation flight technicians
based on historical data from 2014 to 2023. The results show that: 1. The gray GM(1,1) model is reliable
for predicting the demand for flight technicians in aviation transportation. Overall, the maximum relative
error between the predicted and actual values is 5.09%, the minimum relative error is 0.15%, and the
average relative error is 2.015%. 2. The demand for aviation transportation flight technicians shows a
positive growth trend. According to the prediction results, the predicted number of civil aviation pilots
in China will be 94,744 in 2024 and will reach 187,636 in 2033. 3. The demand forecasting trends for
airline transport pilots and commercial pilot licenses are consistent.