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ORIGINAL RESEARCH
Spatial Network Effect of Green Innovation
Efficiency in China's Logistics Industry
and Its Influencing Factors
1
Research Center of Energy Economic, School of Business Administration, Henan Polytechnic University, Jiaozuo
454003, China
2
Bureau of Development and Reform, Yuhua District, Shijiazhuang, 050000, China
3
Business School, Henan Normal University, Xinxiang 453007, China
4
Taihang Development Research Institute, Henan Polytechnic University, Jiaozuo 454003, China
Submission date: 2024-04-13
Final revision date: 2024-05-02
Acceptance date: 2024-05-17
Online publication date: 2024-12-20
Publication date: 2025-01-28
Corresponding author
Yuping Wu
Research Center of Energy Economic, School of Business Administration, Henan Polytechnic University, Jiaozuo 454003, China
Research Center of Energy Economic, School of Business Administration, Henan Polytechnic University, Jiaozuo 454003, China
Pol. J. Environ. Stud. 2025;34(3):3371-3389
KEYWORDS
green innovation efficiencySBMsocial network analysisinfluencing factorsspatial network structurelogistics
TOPICS
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.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (69)
1.
ZHAO Y. Green Total Factor Productivity Improvement and Technological Innovation in Logistics IndustryAn Empirical Test Based on SYS-GMM Method, 6, 115, 2022.
2.
MOU H.L., WU Z.L. An Empirical Study on the Impact of Environmental Regulation and Green Technology Innovation on Carbon Productivity in Logistics Industry. Journal of Hefei University of Technology (Social Science Edition), 35 (2), 16, 2021.
3.
WANG H., LIU W., LIANG Y. Measurement of CO2 Emissions Efficiency and Analysis of Influencing Factors of the Logistics Industry in Nine Coastal Provinces of China. Sustainability-Basel, 15 (19), 14423, 2023. https://doi.org/10.3390/su1519....
4.
LIU H.W., WANG Y.Q., SHI H.J. Green Innovation Efficiency and Synergistic Development of Logistics Industry - An Empirical Study from Innovative Cities in Pearl River Delta. Logistics Tech, 40 (11), 34, 2021.
5.
HAO J., XU W., CHEN Z., YUAN B., WU Y. Impact of Heterogeneous Environmental Regulations on Green Innovation Efficiency in China's Industry. SustainabilityBasel, 16 (1), 415, 2024. https://doi.org/10.3390/su1601....
6.
YING S.L., FANG Q.Q., JI Y.T. Research on green innovation efficiency measurement and influencing factors in the three major coastal urban agglomerations in China. Frontiers in Environmental Science, 11, 1276913, 2023. https://doi.org/10.3389/fenvs.....
7.
SUN Z.R., FAN J., SUN Y., LIU H.C. Characteristics of the spatial correlation network structure and influencing factors of green technology innovation efficiency in China. Economic Geography, 42 (3), 33, 2022.
8.
ZHANG F., CHEN J.W. Spatial Network Structure Characteristics of Green Innovation Efficiency of Equipment Manufacturing Industry along BeijingShanghai High-Speed Railway. Geoscience, 43 (12), 2150, 2023.
9.
CAO Z.X., ZHANG X.X., FAN Y.P., ZHANG R.J. Measurement of green innovation efficiency of industrial enterprises and analysis of spatial spillover effects. Statistics and Decision Making, 39 (16), 116, 2023.
10.
LIU J., LI J.S. Research on the Impact of High-Tech Industry Agglomeration on Regional Green Innovation Efficiency. Ecological Economy, 39 (9), 68, 2023.
11.
ZHOU J.Y., SHAO M.W. Evaluation of Green Innovation Efficiency in Chinese Provincial Regions under HighQuality Development and Its Influencing Factors: An Empirical Study Based on Hybrid Data Envelopment Analysis and Multilevel Mixed-Effects Tobit Models. Sustainability-Basel, 15 (14), 11079, 2023. https://doi.org/10.3390/su1514....
12.
SHANG Y.S., NIU Y.M., SONG P. Regional Differences and Influencing Factors of Green Innovation Efficiency in China's 285 Cities. Sustainability-Basel, 16 (1), 334, 2024. https://doi.org/10.3390/su1601....
13.
ZHANG D.W., HUANG X.L., LUO Y.H. Digital Economy Development and Green Innovation Efficiency of Highend Manufacturing Industry - An Empirical Test Based on Spatial Spillover and Threshold Effects. Management Modernisation, 43 (2), 161, 2023.
14.
TENG T.W., PAN Y.J., WANG S.P., BAO H. Evolution of the spatial structure of urban green innovation efficiency network in the Yangtze River Delta region and its influencing factors. Yangtze River Basin Resources and Environment, 32 (7), 1335, 2023.
15.
LV Y.W., WANG W.Q., ZHANG J.N. The effect of digital economy on regional green innovation efficiency and its transmission mechanism. Statistics and Decision Making, 39 (20), 120, 2023.
16.
LI F., ZHANG H., ZHANG D., YAN H. Structural Diffusion Model and Urban Green Innovation Efficiency - A Hybrid Study Based on DEA-SBM, NCA, and fsQCA. Sustainability-Basel, 15 (17), 12705, 2023. https://doi.org/10.3390/su1517....
17.
SHEN L., ZHU X.J., NAN S.J. Impact of R&D Factor Mobility on Regional Green Innovation Efficiency: A Case Study of Provinces Along the "Belt and Road". Soft Sci, 37 (6), 89, 2023.
18.
XU Y.J., LIU S.G. Evolution of spatial pattern of green innovation efficiency in the Yellow River Basin and its influencing factors. Journal of Natural Resources, 37 (3), 627, 2022. https://doi.org/10.31497/zrzyx....
19.
LIU Y., WEN Z.M. Measuring the efficiency of green and low-carbon technological innovation and spatial spillover effects in China: A dual-carbon target perspective. Ecological Economics, 39 (12), 49, 2023.
20.
ZHANG B.L., XIAO Y.F., HU L.T. Measurement, spatial correlation and influencing factors of green innovation efficiency in Chinese provinces. Journal of Hunan University of Science and Technology (Natural Science Edition), 38 (3), 106, 2023.
21.
WANG C.X., REN Y.J. Spatial spillovers of green innovation efficiency in high-tech industries. Industrial Economics Review, 7 (6), 76, 2016.
22.
CHANG Z.R., ZHENG M. Research on the Impact of Industrial Synergistic Agglomeration on Green Innovation Efficiency-Based on Spatial Spillover Perspective. Research on Financial Issues, 10, 53, 2023.
23.
WANG B., CHEN H., AO Y., LIAO F. Spatiotemporal Differentiation and Influencing Factors of Green Technology Innovation Efficiency in the Construction Industry: A Case Study of Chengdu-Chongqing Urban Agglomeration. Buildings, 13 (1), 73, 2023. https://doi.org/10.3390/buildi....
24.
XU B., WANG R.J. Research on the spatio-temporal evolution of green innovation efficiency and influencing factors--Taking the case of the twin-city economic circle in Chengdu-Chongqing region. Western China, 4, 85, 2022.
25.
ZHAO Y.T. Research on the Measurement, Spatial and Temporal Differentiation and Influencing Factors of Green Technology Innovation Efficiency in China. Modern Industrial Economy and Informatisation, 13 (6), 184, 2023.
26.
WU Y.M., WANG T. Identification of Regional Differences in China's Industrial Green Innovation Efficiency and Their Causes. Financial Theory Research, 3, 31, 2023. https://doi.org/10.1007/s11356... PMid:39300017.
27.
DONG X., FU W., YANG Y., LIU C., XUE G. Study on the Evaluation of Green Technology Innovation Efficiency and Its Influencing Factors in the Central Plains City Cluster of China. Sustainability-Basel, 14 (17), 11012, 2022. https://doi.org/10.3390/su1417....
28.
MU N., LI X., WU T. Analysis of Regional Differences in Green Technology Innovation Efficiency and Its Influencing Factors in China's Strategic Emerging Industries. Ecological Economics, 39 (5), 87, 2023.
29.
LI X., LIU X., HUANG Y., LI J., HE J. Theoretical framework for assessing construction enterprise green innovation efficiency and influencing factors: Evidence from China. Environmental Technology & Innovation, 32, 103293, 2023. https://doi.org/10.1016/j.eti.....
30.
MA D.L., ZHAO N., LI Q.S. Study on the spatio-temporal evolution of industrial green innovation efficiency and its influencing factors in the Yangtze River Economic Belt. Ecological Economy, 38 (2), 43, 2022.
31.
LI G., GAO D., LI Y. Dynamic environmental regulation threshold effect of technical progress on green total factor energy efficiency: evidence from China. Environmental Science and Pollution Research International, 29 (6), 8804, 2022. https://doi.org/10.1007/s11356... PMid:34490578.
32.
LIU Y.Z., DING J.Y. Evaluation of Green Innovation Efficiency in Chinese Cities and Analysis of the Contribution of Influential Factors. Modern Finance, 11, 21, 2023.
33.
HAN J. Evaluation of Green Technology Innovation Efficiency and Analysis of Influencing Factors in Zhejiang Province Cities. Journal of Ningbo University (Humanities Edition), 35 (4), 113, 2022.
34.
XU Y., ZHANG Y., LU Y., CHEN J. The evolution rule of green innovation efficiency and its convergence of industrial enterprises in China. Environmental Science and Pollution Research International, 29 (2), 2894, 2022. https://doi.org/10.1007/s11356... PMid:34382167.
35.
YIN S., ZHANG N., LI B. Enhancing the competitiveness of multi-agent cooperation for green manufacturing in China: An empirical study of the measure of green technology innovation capabilities and their influencing factors. Sustainable Production and Consumption, 23, 63, 2020. https://doi.org/10.1016/j.spc.....
36.
YU Y., XU Z., SHEN P., ZHANG L., NI T. Efficiency Evaluation and Influencing Factors of Green Innovation in Chinese Resource-Based Cities: Based on SBMUndesirable and Spatial Durbin Model. Int J Env Res Pub He, 19 (21), 13772, 2022. https://doi.org/10.3390/ijerph... PMid:36360650 PMCid:PMC9656391.
37.
DONG H.Z., CAO Z.X., ZHANG R.J. Identification of two-stage green innovation efficiency and influencing factors in China's high-tech industries. Statistics and Decision Making, 38 (6), 44, 2022.
38.
DI K., LIU Z., CHAI S., LI K., LI Y. Spatial correlation network structure of green innovation efficiency and its driving factors in the Bohai Rim region. Environment, Development and Sustainability. 2023. https://doi.org/10.1007/s10668....
39.
DAI Q.J. Research on the Impact of Heterogeneous Environmental Regulation on Green Total Factor Productivity in Logistics Industry - Analysis of Mediating Effect Based on Technological Innovation. Journal of Chongqing College of Arts and Sciences (Social Science Edition), 39 (6), 63, 2020.
40.
QU X., QIN X., HU H. Research on the Improvement Path of Regional Green Technology Innovation Efficiency in China Based on fsQCA Method. Sustainability-Basel, 15 (4), 3190, 2023. https://doi.org/10.3390/su1504....
41.
ZHANG Q., JIANG J.F., JIA D.J. Research on the Impact of Industrial Intelligence on Green Innovation EfficiencyAnalysis of Moderating Effect Based on Government Intervention. Journal of Guizhou University of Finance and Economics, 5, 101, 2023.
42.
YE C., ZHENG Y.H., SHAO B. Impact of Carbon Trading Pilot Policies on Green Logistics Efficiency. Journal of Dalian Maritime University (Social Science Edition), 22 (5), 49, 2023.
43.
WANG K.R., SHAO B.L. Decomposition and Scenario Forecasting of Green Innovation Efficiency and Influencing Factors in Manufacturing Industry, 2023.
44.
LI G., ZHANG X.S., TIAN A.R., ZHOU Y. A study on the spatial and temporal divergence of green innovation efficiency in manufacturing industry based on superefficient SBM-ESDA and Tobit model - A case study of Yangtze River Economic Belt, 2023.
45.
WU C.Q., MENG X.Q. Study on the Impact of Digital Transformation on Green Development of Manufacturing Industry in Yangtze River Economic Zone. Journal of Nantong University (Social Science Edition), 38 (6), 37, 2022.
46.
YAO M.C., DUAN J.J., ZHANG R.J., XUAN Z.Y. Analysis of the spatial correlation structure and influence mechanism of green innovation efficiency in China's high-tech industries. Yangtze River Basin Resources and Environment, 31 (11), 2345, 2022.
47.
WANG L.M., ZHAO Y.L., WANG S. A Study on the Impact of Clustering Patterns on Green Innovation Efficiency in China's High-Tech Industries. Management Modernisation, 42 (1), 17, 2022.
48.
ZHAO J.C., HE Y.R., WANG Q.Q. Evaluation of Logistics Industry Efficiency in the Yangtze River Economic Belt and Study of Temporal and Spatial Changes. Journal of Hunan University of Technology, 37 (3), 50, 2023.
49.
YI Y. Green Efficiency and Regional Spatial Characteristics of China's Logistics Industry - An SBM Model Based on Unexpected Output. Research on Business Economics, 20, 104, 2020.
50.
HUA J.N., HU M.J. Analysis of spatial correlation network structure of efficiency in China's logistics industry considering undesired output. Railway Transport and Economy, 2024.
51.
SUN C.X., PEI X.Z., LIU C.J., BU Q.J. Spatial Network Characteristics and Driving Mechanism of Logistics Innovation in Chinese Cities. Geography Research, 40 (5), 1354, 2021.
52.
ZHANG H., SUN X., DONG K., SUI L., WANG M. Green Innovation in Regional Logistics: Level Evaluation and Spatial Analysis. Int J Env Res Pub He, 20 (1), 735, 2023. https://doi.org/10.3390/ijerph... PMid:36613056 PMCid:PMC9819665.
53.
HAN Y. Measurement of green innovation efficiency and analysis of dynamic evolution of the Yangtze River Delta city cluster. Journal of Heilongjiang Engineering Institute, 37 (06), 50, 2023.
54.
YIN Y., YE C., JIANG W.T. Evaluation of regional logistics efficiency and influencing factors based on Super-SBM-DEA model, 25 (4), 103, 2023.
55.
TONE K., TSUTSUI M. Network DEA: A slacks-based measure approach. Eur J Oper Res., 197 (1), 243, 2009. https://doi.org/10.1016/j.ejor....
56.
LV C.C., SHAO C.H., CUI Y. The spatial and temporal evolution of green innovation efficiency in China and the factors affecting it. Research on Financial Issues, 12, 50, 2020.
57.
LI M., WANG J. Spatial-temporal evolution and influencing factors of total factor productivity in China's logistics industry under low-carbon constraints. Environ Sci Pollut R., 29 (1), 883, 2022. https://doi.org/10.1007/s11356... PMid:34345991.
58.
YANG B., WANG Z.B. Influence of green technology innovation on the efficiency of green logistics of fresh agricultural products: moderating effect based on industrial agglomeration. China Circulation Economy, 37 (1), 60, 2023.
59.
LIU H., FAN L., SHAO Z. Threshold effects of energy consumption, technological innovation, and supply chain management on enterprise performance in China's manufacturing industry. J Environ Manage, 300, 113687, 2021. https://doi.org/10.1016/j.jenv... PMid:34530370.
60.
ZHANG J., WU G.Y., ZHANG J.P. Estimating China's interprovincial physical capital stock: 1952-2000. Economic Research, 10, 35, 2004.
61.
YU M.J., GUO P., ZHANG G. Research on the Impact of Regional Innovation Network Structure on Regional Innovation Efficiency. Science and Science and Technology Management, 34 (8), 56, 2013.
62.
WANG S. Evaluation of Green Efficiency and Countermeasures of Logistics Industry in Yangtze River Economic Belt, 2019.
63.
SUN L., HAN Y. Spatial Correlation Network Structure and Influencing Factors of Two-Stage Green Innovation Efficiency: Evidence from China. Sustainability-Basel, 14 (18), 11584, 2022. https://doi.org/10.3390/su1418....
64.
YAN X., HUANG Y.C., PARK J.C., ZOU C. Spatial correlation network structure and driving factors of green innovation efficiency in the Yangtze River Economic Belt. Journal of Beijing Institute of Technology (Social Science Edition), 23 (6), 72, 2021.
65.
ZHUANG H., LIN H., ZHONG K. Spatial spillover effects and driving factors of regional green innovation efficiency in china from a network perspective. Frontiers in Environmental Science, 10, 997084, 2022. https://doi.org/10.3389/fenvs.....
66.
LIU J., SONG Q.Y. Spatial Network Structure and Formation Mechanism of Green Innovation Efficiency in China's Tourism Industry. China Population-Resources and Environment, 28 (8), 127, 2018.
67.
YAO M.C., LI Z.Q., WANG Y.F. Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network. Sustainability-Basel, 15 (7), 6033, 2023. https://doi.org/10.3390/su1507....
68.
JI Z.J., ZHAO L., GAO X.T., CAO N.G. Evolution of spatial network structure and formation mechanism of green technology innovation in China. Journal of Shanxi Normal University (Natural Science Edition), 37 (3), 79, 2023.
69.
GONG X. Regional Logistics Efficiency Measurement and Analysis of Influencing Factors. Statistics and Decision Making, 38 (12), 112, 2022.
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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