Spatial Network Effect of Green InnovationEfficiency in China's Logistics Industryand Its Influencing Factors

Understanding the efficiency of green innovation in the logistics industry can drive sustainable development in China.However, there is a lack of evolutionary patterns and drivers of green innovation efficiency in the logistics industry.We examine the evolutionary patterns of green innovation efficiency in the logistics industry and identify its drivers across 30 provinces and cities in China from 2012-2021.This study examines the evolutionary patterns of green innovation efficiency in the logistics industry and identifies its drivers across 30 provinces and cities in China.It was discovered that there has been a consistent upward trend in the logistics sector's degree of green innovation efficiency.The eastern region exhibits the greatest average values across three indices of green innovation efficiency, with significant regional differentiation that decreases gradually from east to west.The overall spatial network displays an uneven pattern, with the central east showing higher efficiency and the west showing lower efficiency.Drivers such as spatial proximity, industrial structure, scientific and technological levels, and energy utilization significantly affect green innovation efficiency (P < 0.05).We underscore the importance of promoting regional cooperation and exchange, strengthening industrial restructuring and upgrading, and enhancing science, technology, and energy utilization to unleash the logistics industry's potential for green innovation.

Authors

Publication Details

Journal
Polish Journal of Environmental Studies
Published
2024-12-20
DOI
https://doi.org/10.15244/pjoes/188835
Citations
2
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
1.35
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article

Spatial Network Effect of Green InnovationEfficiency in China's Logistics Industryand Its Influencing Factors

Guo Jin, Chuanyang Xu, J. D. Lu, Yuping Wu et al.
2 citations
Polish Journal of Environmental Studies
E-commerce and Technology Innovations
1.35
article

Spatial Network Effect of Green InnovationEfficiency in China's Logistics Industryand Its Influencing Factors

Guo Jin, Chuanyang Xu, J. D. Lu, Yuping Wu, Yang Ke
article en
2 citations

Abstract

Understanding the efficiency of green innovation in the logistics industry can drive sustainable development in China.However, there is a lack of evolutionary patterns and drivers of green innovation efficiency in the logistics industry.We examine the evolutionary patterns of green innovation efficiency in the logistics industry and identify its drivers across 30 provinces and cities in China from 2012-2021.This study examines the evolutionary patterns of green innovation efficiency in the logistics industry and identifies its drivers across 30 provinces and cities in China.It was discovered that there has been a consistent upward trend in the logistics sector's degree of green innovation efficiency.The eastern region exhibits the greatest average values across three indices of green innovation efficiency, with significant regional differentiation that decreases gradually from east to west.The overall spatial network displays an uneven pattern, with the central east showing higher efficiency and the west showing lower efficiency.Drivers such as spatial proximity, industrial structure, scientific and technological levels, and energy utilization significantly affect green innovation efficiency (P < 0.05).We underscore the importance of promoting regional cooperation and exchange, strengthening industrial restructuring and upgrading, and enhancing science, technology, and energy utilization to unleash the logistics industry's potential for green innovation.

Polish Journal of Environmental StudiesVol. 34(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
E-commerce and Technology Innovations
1.35
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Spatial Network Effect of Green InnovationEfficiency in China's Logistics Industryand Its Influencing Factors — Guo Jin, Chuanyang Xu, et al. · Polish Journal of Environmental Studies (2024) | TGRS Research Map | TGRS