Welcome to Francis Academic Press

Academic Journal of Business & Management, 2023, 5(16); doi: 10.25236/AJBM.2023.051603.

Research on Digital Transformation of Logistics Industry in China Based on Input-Output Technology

Author(s)

Yaya Wang, Xufei Yan

Corresponding Author:
Yaya Wang
Affiliation(s)

School of Economics, Beijing Wuzi University, Beijing, China

Abstract

With the continuous development of digital information technology, the logistics industry is increasingly exploring the road of digital transformation. In this paper, the input-output model is used to deeply study the integration path of logistics industry and digitalization, and two schemes are put forward, such as popularizing Internet of Things technology and promoting the integration development of digital economy and logistics industry, which provide new ideas and references for logistics enterprises to carry out digital transformation.

Keywords

Digital Economy, Logistics Industry, Input-output Model, Structural Decomposition

Cite This Paper

Yaya Wang, Xufei Yan. Research on Digital Transformation of Logistics Industry in China Based on Input-Output Technology. Academic Journal of Business & Management (2023) Vol. 5, Issue 16: 11-18. https://doi.org/10.25236/AJBM.2023.051603.

References

[1] Tapscott D. The digital economy: Promise and peril in the age of networked intelligence. [J]. Educom Review, EDUCAUSE, 1996, 31(3): 52. 

[2] Bukht R, Heeks R. Defining, Conceptualising and Measuring the Digital Economy[J]. 2017. 

[3] Xu Xianchun, Zhang Meihui. Research on the Scale Measurement of China’s Digital Economy—Based on the Perspective of International Comparison [J]. China Industrial Economy, 2020(5): 23-41. 

[4] Guan Huijuan, Xu Xianchun, Zhang Meihui, Yu Xia. Research on Industrial Classification for Digital Economy in China [J]. Statistical Research, 2020, 37(12): 3-16. 

[5] Jin Xingye, Fu Lin, Li Tao. The Framework, Methods and Characteristics of Accounting the Scale of the Digital Economy [J]. Comparative Economic and Social Systems, 2020(4): 69–78. 

[6] Yu Dianfan. , Gan Chunhui, Zheng Ruogu. Industrial Linkages in China—An Empirical Research Based on Structural Decomposition Technique of Input-Output Model [J]. China Industrial Economics, 2011(11): 5-15. 

[7] Zhong Junjuan, Wang Jian. Correlation Degree between China's Logistics Industry and Three Industries: From Perspective of Industry Convergence [J]. Technology Economics, 2013, 32(2): 39-44. 

[8] Yu Dianfan, Zhang Yajun, Manufacturing-driven or Service-driven? An Empirical Research Based on the Effect of Industrial Linkage in China [J]. Journal of Finance and Economics, 2015, 41(6): 19-31.

[9] Liang Hongyan, Wang Jian. Industry Relevancy Analysis of Logistics and Manufacturing Based on Input-Output Tables[J]. Journal of Fujian Normal University: Philosophy and Social Sciences Edition, 2013(2): 70-7  

[10] Zhu HeLiang, Wang MingYan. Evolution Analysis of Industry Correlation and Spreading Effect of Circulation Industry Based on the Input-Output Table [J]. China Business and Market, 2018, 32(1): 75-84. 

[11] Huang Qiu. Compilation Method of Input-output Table of China’s Logistics Industry [J]. Statistics & Decision, 2019, 35(16): 5-9. 

[12] Tian Jinfang, Li Huiping, Zhang Wei, Xue Rui. Research on the Association and Pulling Effect of Digital Economy Industry in China [J]. Journal of Statistics and Information, 2022, 37(5): 12-25. 

[13] Liu Bo, Hong Xingjian. Measurement and Analysis of the Degree of Industrial Digitalization in China [J]. Statistical Research, 2022, 39(10): 3-18. 

[14] Wu Xiaoting, Zhang Keyu. Research on the Measurement of the Integration of China’s Digital Economy Industry and Manufacturing Industry [J]. Journal of Statistics and Information, 2022, 37(12): 1-10.

[15] Han Jun, Gao Yinglu. Measurement of Industrial Correlation Effects of Chinese Provincial Digital Economy Development [J]. The Journal of Quantitative & Technical Economics, 2022, 39(4): 45-66. 

[16] Xie Xinyu, Wang Jian. Study on the Regional Differences and Dynamic Evolution of the Digitalization Level of China’s Logistics Industry [J]. The World of Survey and Research, 2023(2): 1-14. 

[17] Ronald E.Miller, Peter D.Blair. lnput-Output Analysis: Foundations and Extensions[M]. Second Edition. Cambridge University Press, 2009.

[18] Muradov K. Structural decomposition analysis with disaggregate factors within the Leontief inverse [J]. Journal of Economic Structures, 2021, 10(1): 16.

[19] Input–output analysis and structural decomposition analysis from Driving Forces of China’s Energy and Emission Growths Between 2007 and 2010: A Structural Decomposition Analysis on JSTOR [EB/OL]. /2023-06-27. https://www. jstor. org/stable/resrep31000. 7. 

[20] Xiong Hao, Yan Huili. The Logistics Industry Multiplier Based on the Mining Data of the Input-output Table [J]. Systems Engineering, 2015, 33(2): 105-109.