DOI QR코드

DOI QR Code

Analysis on Logistics Efficiency of China's Agricultural Products Cold Chain from the Green Perspective

  • Qi, Lu (Dept. of Marketing Management, Jilin Engineering Normal University) ;
  • Chung, Gi-Young (Dept. of Business Management, Sehan University) ;
  • Kim, Hyung-Ho (Dept. of Air Transport and Logistics, Sehan University)
  • Received : 2020.04.30
  • Accepted : 2020.05.29
  • Published : 2020.06.30

Abstract

Although the market demand for cold-chain logistics of agricultural products in China is growing rapidly, the technology and scale of cold-chain logistics in China still lag behind the developed countries, resulting in large energy consumption. In our country, many authors have studied the efficiency of cold-chain logistics by using analytic hierarchy process and data envelopment method, but they haven't eliminated the influence of environmental factors and random error factors on the efficiency of cold-chain logistics, and most of them are limited to regional research. Therefore, in this paper, the three-stage DEA method is used. Based on the green logistics idea, firstly, the efficiency of 29 listed logistics enterprises in China is analyzed. Secondly, this paper uses SFA model to exclude the influence of environment and error factors on the analysis results, taking the enterprise's operating years, local GDP and the proportion of cold chain assets as environmental variables. Finally, this paper estimates the efficiency value again by adjusting the input value. The results are as follows: the main reason of high efficiency enterprises is to achieve scale efficiency. So the scale of assets should be maintained or appropriately expanded. At the same time, the economic development and the number of years of enterprise establishment will significantly affect the efficiency of cold-chain logistics. The influence of these environmental variables on the accuracy of the analysis conclusion should be fully considered.

Keywords

References

  1. D. Vollrath, "Land Distribution and International Agricultural Productivity," American Journal of Agricultural Economics, Vol.89, No.2, pp. 202-216, February 2017. DOI : 10.1111/j.1467-8276.2007.00973.x
  2. Y. Zhang, "Study on Online and Offline Integration of Fresh Agricultural Products in the Internet Era," Logistics Engineering and Management, Vol.37, No.7, pp.165-166, July 2015. http://www.cqvip.com/qk/82459x/201507/665742817.html
  3. M.Q. Jia, "Study on Evaluation and Improvement of Regional Agricultural Products Cold Chain Logistics Development Efficiency," Master Thesis. Anhui University of Science and Technology, China, 2019. http://cdmd.cnki.com.cn/Article/CDMD-10361-1019143881.htm
  4. X. Meng, "Efficiency Analysis of Logistics Industry in Yangtze River Economic Belt Based on DEA Model," Enterprise Economic, Vol.12, No.19, pp.108-113, December 2015. http://www.cnki.com.cn/Article/CJFDTotal-QUIT201512020.htm
  5. J. Sun, "Analysis of Efficiency Measurement and Influencing Factors of Cold Chain of Agricultural Products in Northeast China," Ph.D. Thesis. Shenyang Agricultural University, China, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10157-1016144762.htm
  6. M.Y. Guo, "Study on Logistics Efficiency in Guangdong Province Based on Super Efficiency DEA," Master Thesis. Shenzhen University, China, 2017. http://cdmd.cnki.com.cn/Article/CDMD-10590-1017811865.htm
  7. Z.Y. Feng, "Study on Efficiency Evaluation of Cold Chain Logistics Enterprises Related to Fresh Products," Modern Marketing Review, Vol.14, No.6, pp.105-107, June 2019. http://www.cnki.com.cn/Article/CJFDTotal-XIXY201906059.htm
  8. T.Y. Zhang, "Study on Influencing Factors of Agricultural Products Logistics Efficiency in Yunnan Province," Marketing Research, Vol.65, No.8, pp.49-52, August 2018. DOI : 10.13999/j.cnki.scyj.2018.08.018
  9. E.B. Mariano, JAG and F.D. Camioto. "$CO_2$ Emissions and Logistics Performance: A Composite Index Proposal," Journal of Cleaner Production, Vol.163, No.1, pp.166-178, October 2017. DOI : 10.1016/j.jclepro.2016.05.084
  10. L.Y. Yu, M.K. Shi and J. Li, "Logistics Efficiency and Factor Decomposition of the Yangtze River Economic Belt Based on DEA-Malmquist Index Model," Journal of Business Economics, Vol.37, No.4, pp.16-25, April 2018. DOI : 10.14134/j.cnki.cn33-1336/f.2018.04.002
  11. X. Zang and G.X. Pan, "An Empirical Study on the Impact of FDI on Carbon Emissions in China's Logistics Industry," China Population, Resources and Environment, Vol.26, No.1, pp.39-46, January 2016. http://www.cnki.com.cn/Article/CJFDTotal-ZGRZ201601006.htm
  12. M. J. Kim, "A Study of the Economic and Social Performance of Social Enterprise," International Journal of Advanced Culture Technology, vol. 6, no. 2, pp. 43-50, June 2018. DOI : 10.17703/IJACT.2018.6.2.43
  13. S. W. Shin, H.J. Chang. "The Effects of Human Resource Factors on Firm Efficiency: A Bayesian Stochastic Frontier Analysis." International Journal of Advanced Culture Technology. Vol.6, NO.4, pp.292-302, 2018. DOI : 10.17703//IJACT2018.6.4.292
  14. A. Charnes, W. W. Cooper and E. Rhodes, "Measuring the Efficiency of Decision Making Units," European Journal of Operational Research, vol.2, No.6, pp. 429-444, November 1978. DOI : 10.1016/0377-2217(78)90138-8
  15. H.O. Fried, C.A.K. Lovell and S.S. Schmidt, "Accounting for Environmental Effect and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Vol.53, No.17, pp.157-174. January 2002. DOI : 10.1023/A:1013548723393