{"title":"The impact of low-altitude airspace opening policy on aviation manufacturing innovation: A double machine learning approach","authors":"Linan Zhao , Yanru Chen , M.I.M. Wahab","doi":"10.1016/j.tra.2025.104660","DOIUrl":null,"url":null,"abstract":"<div><div>Since 2010, China has been reforming low-altitude airspace management and has implemented the low-altitude airspace opening policy aimed at reducing the restrictions on low-altitude airspace and stimulating the development of the low-altitude economy. To explore the implications of the low-altitude airspace opening policy (LAAOP) and promote innovation development in enterprises, this paper employs double machine learning-based causal inference methods to examine the impact of the policy on aviation manufacturing industry innovation, using data from listed Chinese aviation manufacturing firms between 2003 and 2023. The results indicate that the policy has enhanced the innovation capacity of the sector. The conclusion is robustly validated through both Difference-in-Differences (DiD) and Generalized Random Forest (GRF) models. Heterogeneity analysis reveals that the policy exerts a stronger positive effect on the drone enterprises, state-owned enterprises, and coastal region enterprises. Accordingly, this paper offers a series of policy recommendations to optimize policy implementation and promote high-quality development within China’s aviation manufacturing industry.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"200 ","pages":"Article 104660"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part A-Policy and Practice","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965856425002885","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Since 2010, China has been reforming low-altitude airspace management and has implemented the low-altitude airspace opening policy aimed at reducing the restrictions on low-altitude airspace and stimulating the development of the low-altitude economy. To explore the implications of the low-altitude airspace opening policy (LAAOP) and promote innovation development in enterprises, this paper employs double machine learning-based causal inference methods to examine the impact of the policy on aviation manufacturing industry innovation, using data from listed Chinese aviation manufacturing firms between 2003 and 2023. The results indicate that the policy has enhanced the innovation capacity of the sector. The conclusion is robustly validated through both Difference-in-Differences (DiD) and Generalized Random Forest (GRF) models. Heterogeneity analysis reveals that the policy exerts a stronger positive effect on the drone enterprises, state-owned enterprises, and coastal region enterprises. Accordingly, this paper offers a series of policy recommendations to optimize policy implementation and promote high-quality development within China’s aviation manufacturing industry.
期刊介绍:
Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.
Part A''s aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.