A panel analysis of the sustainability of logistics industry in China: based on non-radial slacks-based method

Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models

“…Under the three different spatial matrices other than W1, only the direct effect of the urbanization level (UL) passed the 10% significance level test, indicating a positive effect and an average coefficient of -0.2274. This result indicates that the urbanization level significantly promotes the local LEE, which is consistent with the study by Tan et al (2019). The possible reasons for this are ascribed as follows:…”

“…Presently, there are no obvious distinctions between factors that consider sustainable development and those that do not, and the types of factors remain similar. Many scholars have carried out lots of research on the economic factors of industrial structure and economic level; logistics industry factors of port logistics, infrastructure conditions and logistics human capital; and social factors of information level and urbanization rate; and a wealth of valuable results were accumulated (Hafezalkotob 2017;Long et al 2020;Rashidi and Cullinane 2019;Tan et al 2019;Yu and Liu 2010;Zaman and Shamsuddin 2017;Zhang et al 2015). As an instance, taking the 18 provinces along the "Belt and Road" as study samples, Yu and Liu (2010) discovered that the regional economic level, regional marketization and port logistics can help to improve the total factor productivity of regional logistics in China.…”

“…As an instance, taking the 18 provinces along the "Belt and Road" as study samples, Yu and Liu (2010) discovered that the regional economic level, regional marketization and port logistics can help to improve the total factor productivity of regional logistics in China. Tan et al (2019) studied the impact of the economic development level, urbanization level, logistics resource, utilization rate and other factors on the sustainable efficiency of the logistics industry.…”

“…In the conventional research method involving the analyses of factors affecting the efficiency of industries including the logistics industry, econometric regression models such as the linear regression model (Yu and Liu 2010;Zhou et al 2018), SFA regression model (Zhou et al 2020) and Tobit regression model (Fujii and Managi 2013;Liang et al 2019;Tan et al 2019;Wang et al 2018) are being used. However, these models ignore the pervasive spatial dependence of economics, and fail to effectively explain the influence factor of efficiency.…”

“…Connotation and appraisal method of the LEE The logistics efficiency of considering eco-environmental constraints has gradually attracted the attention of scholars both in China and abroad. The existing literature employs different expressions, namely energy efficiency (Zhang et al 2015), environmental efficiency (Fan et al 2017), green efficiency (Liang et al 2019), sustainable efficiency (Rashidi and Cullinane 2019;Tan et al 2019;Tang et al 2018) and ecological efficiency (Zhou et al 2015;Long et al 2020). However, since majority of them only consider the impact of CO 2 or carbon emissions on the ecological environment, the connotations of these concepts are relatively similar.…”