Author(s)

Yaling Cui ¹, Mengyu Wang ²

Affiliation(s)

¹ School of Management, Suzhou Vocational Institute of Industrial Technology, Suzhou, China
² College of Business, Nanjing Tech University, Nanjing, China

Corresponding Author

Yaling Cui

ABSTRACT

The improved locational entropy index is used to calculate the level of logistics industry agglomeration in Suzhou based on time series data from 2001 to 2020. Based on the vector autoregressive model and vector error correction model, econometric methods such as the Granger causality test and impulse response are used to further examine the impact of Suzhou's logistics industry agglomeration on the city economy. According to the study, Suzhou's logistics industry agglomeration has a long-term positive impact on the city's economy, and there is a one-way Granger causality with long-term predictive value. The two-way correction mechanism causes the Suzhou logistics industry agglomeration to return to the long-term equilibrium state when there is a short-term deviation from the equilibrium state. As a result, logistics industry agglomeration in Suzhou is an essential factor for the development of the urban economy, and proper promotion of logistics industry agglomeration can drive urban economic development. The primary considerations are how the government can guide the logistics industry agglomeration and how to adjust the infrastructure and supporting facilities of the logistics industry agglomeration area.

KEYWORDS

Location entropy, vector autoregressive model, urban economic development, Logistics industry agglomeration

CITE THIS PAPER

Yaling Cui, Mengyu Wang, Study on the Impact of Logistics Industry Agglomeration on Urban Economy: Evidence from Suzhou in China. Accounting and Corporate Management (2023) Vol. 5: 100-110. DOI: http://dx.doi.org/10.23977/acccm.2023.051015.

REFERENCES

[1] Zehua Hu. 2016. Agglomeration mechanism of urban logistics industry cluster in the perspective of low-carbon economy [in Chinese]. China Township Enterprises Accounting (2016): 9-10. 
[2] Qiuping Ni and Yuanxiang Tang. 2017. The Status Quo, Influencing Factors and Development Strategies of China's Logistics Industry Cluster [in Chinese]. Reformation & Strategy 33(07): 165-168. 
[3] Can Deng. 2018. Analysis on the Spatial Agglomeration of China's Logistics Industry and Its Causes [in Chinese]. Tax Paying (2018):178. 
[4] Zheng Tang. 2020. Agglomeration and evolution of logistics industry: factors, models and demonstration [in Chinese]. Logistics Technology 39(01): 49-53+130. 
[5] Xin Wang. 2018. An Empirical Analysis of the Impact of Logistics Industry Cluster on the Efficiency of Regional Trade Circulation [in Chinese]. Journal of Commercial Economics (17): 29-31. 
[6] Junfeng Leng and Yongyu Liu. 2019. Research on the threshold effect of industrial agglomeration on logistics efficiency [in Chinese]. Prices Monthly (12): 47-54. 
[7] Jing Lu. 2022. Study on the Spatial Spillover Effect of Logistics Industry Agglomeration on Logistics Efficiency in Urban Agglomeration [in Chinese]. Journal of Commercial Economics (03):125-128. 
[8] Puyang Sun, Shuai Han and Cheng Zhang. 2012. The nonlinear relationship between industrial agglomeration structure and urban economic growth [in Chinese]. Finance & Economics (08):49-57. 
[9] Jinfeng Han. 2013. Analysis of logistics industry agglomeration effect based on government perspective [in Chinese]. Logistics Technology 32(17): 100-102. 
[10] Qinghua Bai. 2018. An empirical analysis of the impact of logistics industry agglomeration on regional economic growth [in Chinese]. Journal of Commercial Economics (16):86-88. 
[11] Yan Nian and Jianlin Pan. 2019. An empirical analysis of the relationship between logistics industry agglomeration and economic development in Zhejiang province [in Chinese]. Sci-Tech & Development of Enterprise (08):37-39+41. 
[12] Jun Nan. 2021. An Empirical Study on the Impact of Inner Mongolia's Logistics Industry Cluster on Economic Growth [in Chinese]. Inner Mongolia Agricultural University: 2021.

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