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Academic Journal of Business & Management, 2021, 3(8); doi: 10.25236/AJBM.2021.030816.

Measurement of the Chinese Logistics Substitution Elasticity and the Influencing Factors –Base on the VES Model


Duan Jiexin1, Wang Yunxia2

Corresponding Author:
Duan Jiexin

1Shenzhen Polytechnic School, Shenzhen, China

2Shenzhen Technology University, Shenzhen, China


Use VES production function to estimate the substitution elasticity of Chinese logistics industry from 1978 to 2017, and the influencing factors were further analyzed. The results show that there are regional differences in the substitution elasticity in the logistics industry, and the substitution elasticity in the more developed eastern regions is higher than in the central and western regions. Through theoretical analysis and empirical test of the affection of logistics substitution elasticity, the conclusion shows that the capital deepening level, the capital return rate, the worker's higher education level, the market opening degree, the government consumption expenditure, the industrial structure factors will affect the factor substitution elasticity of the logistics industry. Therefore, the formulation of regional logistics industry policy should fully consider the influence of various factors, improve the flow efficiency of production factors within the scope of technology accessibility, and promote the coordinated development of regional logistics industry and other industries.


Substitution Elasticity; VES Production Function; Logistics Industry; Impact Factors

Cite This Paper

Duan Jiexin, Wang Yunxia. Measurement of the Chinese Logistics Substitution Elasticity and the Influencing Factors –Base on the VES Model. Academic Journal of Business & Management (2021) Vol. 3, Issue 8: 92-103. https://doi.org/10.25236/AJBM.2021.030816.


[1] Klump,R., De La Grandville . Economic Growth and the Elasticity of Substitution-Two Theorems and Some Suggestions [J]. The American Economic Review, 2000: 90(1):282-291.

[2] Acemoglu D.Direct Technical Change[J].Review of Economic Studies,2002,69:781-810.

[3] Ouyang Xiaoxun, Huang Fuhua. Technological Progress and Technological Preference of China's Logistics Industry [J]. Finance and Trade Research, 2014 (03): 66-74. 

[4] Han Biao, Wang Yunxia, et al. China's Logistics Industry Factor Substitution and Technological Progress Preference [J]. Soft Science, 2017 (10): 23-26 . 

[5] Wang Yunxia, Han Biao. Technological progress bias, factor endowment and green total factor productivity of logistics industry [J]. Journal of Beijing University of technology and Technology (SOCIAL SCIENCE EDITION), 2018 (2): 51-61 

[6] Yuhn K H. Economic Growth, Technical Change Biases, and the Elasticity of Substitution: A Test of the De La Grandville Hypothesis[J]. Review of Economics & Statistics, 1991, 73(2):340-346.

[7] Saam M. Openness to Trade as a Determinant of the Macroeconomic Elasticity of Substitution [J]. Journal of Macroeconomics, 2008, 30(2):691-702.

[8] Alvarez-Cuadrado,F.etal(2017),"Capital labor substitution, structural change and growth", Theoretical Economics12: 1229-1266.

[9] Chen qingneng. Main properties and mathematical proof of VES production function [J]. Journal of Zhejiang University of science and technology, 2008, 20 (2): 81-86.

[10] Zheng Meng, Yang Xianming. Research on income distribution effect under factor substitution growth mode -- Empirical Analysis Based on China's inter provincial panel data [J]. Nankai economic research, 2017 (2): 55-75.

[11] Zhang Jun, Wu Guiying, Zhang Jipeng. Estimation of China's inter provincial physical capital stock: 1952-2000 [J]. Economic research, 2004 (10): 35-44.

[12] Li Gucheng, fan Lixia, Feng Zhongchao. Capital accumulation, institutional change and agricultural growth -- an empirical estimation of China's agricultural growth and capital stock from 1978 to 2011 [J]. Management world, 2014 (5): 67-79.

[13] Hall Robert, Jones Charles. Why do some countries produce so much more output per worker than others?[J].The Quarterly Journal of Economics,1999,1(114) :83-115.

[14] Ma Yueyue, Wang Weiguo. Total factor productivity of China's regional logistics industry under heterogeneous production technology [J]. Systems engineering, 2015 (10): 63-72.

[15] Zhao Zifang, Shi Jinchuan. Industrial efficiency loss caused by distorted factor market in China -- An Empirical Analysis Based on DEA method [J]. China industrial economy, 2006 (10): 40-48.

[16] Li Yaoxin, Wu Jiapei. Allocation principle of production factors in industrial structure adjustment [J]. Economist, 1994 (5): 61-74.