Evaluation of Operating Efficiency of Agricultural Listed Enterprises Based on DEA-Tobit Two Stage Model

DOI

10.2991/masta-19.2019.8How to use a DOI?

Keywords

Agricultural listed enterprises, Efficiency, DEA, Tobit

Abstract

This paper used DEA model to evaluate the operating efficiency of sample enterprises, and analyzed the influencing factors of business efficiency through Tobit regression. The results of DEA evaluation show that the operating efficiency of the listed agricultural enterprises is low and the difference between enterprises is obvious. The Northeast comprehensive efficiency, pure technical efficiency and scale efficiency is highest; Forestry, animal husbandry, farming, fishery and agricultural service industry’s comprehensive efficiency, pure technical efficiency decrease in turn; In addition to the low scale efficiency of fisheries, the rest of the industry scale efficiency is almost the same. Tobit regression analysis shows that the age, scale of enterprises and the nature of controlling shareholders are negatively related to business efficiency, and total assets return rate and ownership concentration are positively related to business efficiency.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li-ping Yan
PY  - 2019/07
DA  - 2019/07
TI  - Evaluation of Operating Efficiency of Agricultural Listed Enterprises Based on DEA-Tobit Two Stage Model
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 47
EP  - 53
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.8
DO  - 10.2991/masta-19.2019.8
ID  - Yan2019/07
ER  -