Journal of Geographical Sciences ›› 2022, Vol. 32 ›› Issue (3): 477-498.doi: 10.1007/s11442-022-1957-x

• Research Articles • Previous Articles     Next Articles

Dynamic evolution trend of comprehensive transportation green efficiency in China: From a spatio-temporal interaction perspective

MA Qifei1,2(), JIA Peng1,2,*(), SUN Caizhi3, KUANG Haibo1   

  1. 1. Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian 116026, Liaoning, China
    2. School of Maritime Economics and Management of Dalian Maritime University, Dalian 116026, Liaoning, China
    3. Institute of Marine Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
  • Received:2021-09-29 Accepted:2021-11-18 Online:2022-03-25 Published:2022-03-07
  • Contact: JIA Peng E-mail:maqifei@163.com;jiapeng@foxmail.com
  • About author:Ma Qifei (1992-), PhD Candidate, specialized in transportation planning and management research. E-mail: maqifei@163.com
  • Supported by:
    National Key Research and Development Program of China(2019YFB1600400);National Natural Science Foundation of China(72174035);National Natural Science Foundation of China(71774018);Liaoning Revitalization Talents Program(XLYC2008030);Liaoning Provincial Natural Science Foundation Shipping Joint Foundation Program(2020-HYLH-20)

Abstract:

It is urgent and important to explore the dynamic evolution in comprehensive transportation green efficiency (CTGE) in the context of green development. We constructed a social development index that reflects the social benefits of transportation services, and incorporated it into the comprehensive transportation efficiency evaluation framework as an expected output. Based on the panel data of 30 regions in China from 2003-2018, the CTGE in China was measured using the slacks-based measure-data envelopment analysis (SBM-DEA) model. Further, the dynamic evolution trends of CTGE were determined using the spatial Markov model and exploratory spatio-temporal data analysis (ESTDA) technique from a spatio-temporal perspective. The results showed that the CTGE shows a U-shaped change trend but with an overall low level and significant regional differences. The state transition of CTGE has a strong spatial dependence, and there exists the phenomenon of “club convergence”. Neighbourhood background has a significant impact on the CTGE transition types, and the spatial spillover effect is pronounced. The CTGE has an obvious positive correlation and spatial agglomeration characteristics. The geometric characteristics of the LISA time path show that the evolution process of local spatial structure and local spatial dependence of China’s CTGE is stable, but the integration of spatial evolution is weak. The spatio-temporal transition results of LISA indicate that the CTGE has obvious transfer inertness and has certain path-dependence and spatial locking characteristics, which will become the major difficulty in improving the CTGE.

Key words: comprehensive transportation green efficiency, spatio-temporal interaction, dynamic evolution trend, spatial markov model, exploratory spatio-temporal data analysis