The Dynamic Evolution of Green Total Factor Productivity in China's Logistics Industry and Its Convergence
DOI: https://doi.org/10.62381/ACS.IDEL2024.02
Author(s)
Jiajia Xu
Affiliation(s)
School of Management, Zhengzhou University, Zhengzhou, China
Abstract
In order to comply with the development requirements of green concept in the new century and the development trend of modern logistics, combining green concept and logistics to build green logistics system is the driving force for the healthy and sustainable development of logistics industry. This paper uses the super-efficiency EBM model based on non-expected output, the Global Malmquist-Luenberger index and the convergence model to calculate and analyze the GTFP of China's logistics industry from 2005 to 2021 from the static and dynamic perspectives. The regional difference and dynamic evolution trend of GTFP of logistics industry in northeast, East, central and western regions were deeply analyzed, in order to provide beneficial guidance for the healthy development of green logistics industry.
Keywords
Logistics Industry; Green Total Factor Productivity; Dynamic Evolution; Regional Difference; Convergence
References
[1]Lo Storto C, Evangelista P. Infrastructure efficiency, logistics quality and environmental impact of land logistics systems in the EU: A DEA-based dynamic mapping. Research in Transportation Business & Management, 2023, 46: 100814.
[2]Liu Huajun, Guo Lixiang and Qiao Liecheng et al. Spatial-Temporal Pattern and Dynamic Evolution of Logistics Efficiency in China. The Journal of Quantitative & Technical Economics, 2021, 38(05):57-74.
[3]Guo Jinyong. Eco-efficiency Driving Mechanism and Spatial Effect Decomposition of Logistics Industry--Based on the Comparative Study of the Yangtze River Economic Belt and Inter provincials. Journal of Commercial Economics, 2022, No.840(05):108-112.
[4]Xue Yang, Li Manzhu and Wang Jiankang et al. Evaluation of Green Logistics Efficiency in Nine Provinces of the Yellow River Basin Based on Three - stage DEA Model. Environmental Science and Management, 2022, 47(02): 67-72.
[5]Ye Chong et al. Regional Sustainability of Logistics Efficiency in China along the Belt and Road Initiative Considering Carbon Emissions. Sustainability, 2022, 14(15): 9506-9506.
[6]Liang Yumin, Tian Simiao. The Impact of High-Quality Logistics Development on Regional Economy: An Empirical Analysis Based on Cities Above Prefecture Level in Guangdong Province. Journal of Commercial Economics, 2023, No. 863(04):89-93.
[7]Han Dongya and Liu Hongwei. Study on Technology Efficiency of Logistics Industry in China and Influence Factors——An Empirical Study from Listed Companies. China Business and Market, 2019, 33(11): 17-26.
[8]Liu Yiwen, Ouyang Ying and Cai Hongyu. Evaluation of China's Agricultural Green TFP and Its Spatiotemporal Evolution Characteristics. The Journal of Quantitative & Technical Economics, 2021, 38(05):39-56.
[9]Zhang Wenqing, Dong Jingrong and Zhang Haitao et al. The Mechanism, Dilemma and Countermeasures of Environmental Policy on Promoting China’s Green Total Factor Productivity: A Perspective from Innovation Mode Selection. Economic Review, 2023, No.239(01):126-143.
[10]Jin Xiaodong. Green Logistics and Urban-Rural Integration: A Quasi-Natural Experiment Based on Urban-Rural Integration Policy. Ecological Economy, 2023, 39(01): 95-100.
[11]Du Hui. Discussion on Diversified Paths to Improve the Efficiency of China's Logistics Industry under the Goal of “Double Carbon”. Journal of Commercial Economics, 2022, (04):110-113.
[12]Wen Yao, An Qing-xian and Li Yong-li. Cost DEA game and cost allocation method considering the relative competitiveness of decision-making units. Chinese Journal of Management Science:1-18[2023-11-02].
[13]Li Jian and Liu Lian. Research on Spatiotemporal Difference and Spatial Convergence of Green Total Factor Productivity in Interprovincial Logistics Industry. Resources and Environment in the Yangtze Basin, 2020, 29(04):799-812.
[14]Wang Qinmei and Luo Rui. Research on the Impact of High-quality Development of Logistics Industry on Regional Total Factor Productivity———Evidence from 264 Cities in China. Soft Science, 2023, 37(01):58-68.)
[15]Zhang Chunji. The Influences of Agglomeration of Producer Services on Growth of Green Total Factor Productivity in China. Technology Economics,2019,38(12):113-119+125.
[16]Ma Yueyue and Wang Weiguo. Character of Carbon Emission of Logistics Industry in China and Its Affecting Factors Decomposition Analysis: based on LMDI technique. Mathematics in Practice and Theory, 2013, 43(10): 31-42.
[17]Goldsmith R W. A perpetual inventory of national wealth// Studies in Income and Wealth, Volume 14. NBER, 1951: 5-73.
[18]Shan Haojie. Reestimating the Capital Stock of China:1952~2006. The Journal of Quantitative & Technical Economics, 2008, 25(10):17-31.
[19]Goodarzian F, Kumar V, Abraham A. Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics. Soft Computing, 2021, 25: 7527-7557.
[20]Andreoni V, Galmarini S. Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption. Energy, 2012, 44(1): 682-691.
[21]Tone K, Tsutsui M. An epsilon-based measure of efficiency in DEA–a third pole of technical efficiency. European Journal of Operational Research, 2010, 207(3): 1554-1563.