Spatial-temporal evolution and influencing factors of total factor productivity in China’s logistics industry under low-carbon constraints

Li, Minjie; Jian, Wang

doi:10.1007/s11356-021-15614-7

Cited by 30 publications

(15 citation statements)

References 77 publications

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“…Informatization level (IDI). Following the method for measuring the development of regional informatization described by Liu et al (2020), Li, Liu, et al (2021), and Li and Wang (2022), the proportion of the total postal and telecommunications revenue in the GDP was adopted to reflect the overall level of informatization development in each region in this study.…”

Section: Methodsmentioning

confidence: 99%

Can environmental non‐government organizations promote firms' environmental innovation? The role of environmental regulation and informatization level

Liao,

Zhang

2023

Bus Strat Env

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Environmental non‐governmental organizations (ENGOs), as important civil society organizations in the environmental arena, play a role in promoting firms' environmental behavior. Based on institutional theory, this study constructed a relationship model among environmental ENGOs, environmental regulation, informatization level, and environmental innovation. Using data from 31 provinces in China from 2010 to 2021 as research samples, this study investigated the impact of ENGOs on firms' environmental innovation, as well as the mediating role of environmental regulation and the moderating role of the informatization level. The results showed that ENGOs had a positive effect on firms' environmental innovation, and the informatization level negatively moderated the impact of ENGOs on firms' environmental innovation, but environmental regulation did not play a mediating role in the relationship between ENGOs and firms' environmental innovation. Based on the conclusions, this study suggests leveraging the role of ENGOs, strengthening the power of environmental regulation, and improving the informatization level to drive firms' environmental innovation.

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Section: Methodsmentioning

confidence: 99%

Can environmental non‐government organizations promote firms' environmental innovation? The role of environmental regulation and informatization level

Liao,

Zhang

2023

Bus Strat Env

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“…Industry-level studies [17], exemplified by Cui et al (2021), utilized stochastic frontier analysis (SFA) and Markov chain methods to evaluate the characteristics of GTFP dynamics evolution and convergence trends across 36 industrial industries from 2000 to 2016 [18]. Liu et al (2020) adopted the SBM-Malmquist index model to measure changes in GTFP in forestry across 30 provinces in China from 2005 to 2016, revealing that differences in changes mainly originated within spatial regions [19]. However, the literature on GTFP at the city level in China, considering resource and environmental cost constraints, remains limited.…”

Section: Literature Reviewmentioning

confidence: 99%

A Study on the Changes of Green Total Factor Productivity in Chinese Cities under Resource and Environmental Constraints

Fu,

Zhang,

Guo

2024

Sustainability

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Confronting the dual challenges of excessive resource consumption and environmental pollution, the traditional extensive economic development pattern significantly impeded the high-quality development of the Chinese economy. Examining variations in green total factor productivity across different types of cities holds substantial practical significance for promoting coordinated regional development and facilitating the green transformation of urban economies. Panel data from 283 cities in China spanning the years 2006 to 2020 were selected for analysis. The window-Malmquist–Luenberger index model, incorporating a mixed distance function, was employed to assess changes in green total factor productivity among the sample cities. The results were then categorized and analyzed based on different city attributes. The findings indicate that (1) the variation in green total factor productivity across China’s four major regions from 2006 to 2020 is generally characterized by an initial decline followed by an increase; (2) the proportion of cities with significantly improved green total factor productivity decreases from the east to the central, western, and northeastern regions; (3) the increase in green total factor productivity is positively correlated with city size, suggesting that larger cities experience higher growth in green total factor productivity; (4) first- and second-tier cities exhibit a relatively high mean value of green total factor productivity growth, while third-, fourth-, and fifth-tier cities demonstrate relatively lower growth.

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“…First, previous studies had focused on the role of environmental regulation on green technology innovation or high-quality economic development in a region, but few had studied the impact of environmental regulation on urbanization in a region, and even fewer had introduced the concept of new urbanization [35,36]. Second, the current academic research on regional low-carbon logistics capacity was mostly limited to the measurement and evaluation aspects [37,38]. These studies did not explore whether regional low-carbon logistics capacity would have a profound impact on the development of a region or whether it would act as a bridge between environmental regulation and the new urbanization development.…”

Section: Literature Reviewmentioning

confidence: 99%

The Effects of Environmental Regulation and Low-Carbon Logistics Capacity on the Level of New Urbanization in Six Central Provinces of China

Wang

Hou

2022

Sustainability

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The urbanization of a region is affected by the implementation of various policies, and to explore the specifics of the environmental regulation at today’s new level of urbanization, the increased logistics capacity of a region and the consequent carbon emissions must be the focus of our attention. For the values considered by the study, the six central provinces of China have obvious location advantages and urban–rural differences, so a static panel regression effect model was constructed based on the inter-provincial panel data of the six central provinces of China from 2005–2019, and the entropy weight method was applied to quantify the low-carbon logistics capacity and new urbanization level in the region. The model explores the relationship between environmental regulation, regional low-carbon logistics capabilities, and the level of new urbanization. The results of the study show that the levels of new urbanization in all six provinces are increasing rapidly, year on year. Environmental regulation has a positive impact on regional low-carbon logistics capabilities and the level of new urbanization, and environmental regulation promotes the improvement of the level of new urbanization through a significant positive impact on regional low-carbon logistics capabilities, and there is an intermediary conduction effect. This paper provides valuable reference suggestions for low carbon development and new urbanization in six central provinces through empirical research.

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Spatial-temporal evolution and influencing factors of total factor productivity in China’s logistics industry under low-carbon constraints

Cited by 30 publications

References 77 publications

Can environmental non‐government organizations promote firms' environmental innovation? The role of environmental regulation and informatization level

Can environmental non‐government organizations promote firms' environmental innovation? The role of environmental regulation and informatization level

A Study on the Changes of Green Total Factor Productivity in Chinese Cities under Resource and Environmental Constraints

The Effects of Environmental Regulation and Low-Carbon Logistics Capacity on the Level of New Urbanization in Six Central Provinces of China

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