The Evaluation and Spatial Differentiation of Forestry Efficiency in Si-chuan Province--Based on DEA-MI Model
- 10.2991/icammce-17.2017.36How to use a DOI?
- Forestry efficiency; DEA; Malmquist index; Sspatial difference; Efficiency evaluation
By the DEA and Malmquist index model, the article studied the dynamic change and spatial difference of the forestry efficiency to 21 cities (States) in Sichuan province during 2005-2014, and revealed the change law of forestry efficiency. The results show that: Forestry efficiency showed the characteristic of wave growth, but the increase was small in Sichuan Province, the city(state) number of increasing or de-creasing for forest scale returns had a wide fluctuation. The total factor productivity index of forestry was more than 1 in the whole provinc, and forest had realized the positive growth of productivity. The efficiency of forestry in Sichuan Province presented that the Chengdu region, the Chuannan region and the Chuan-dong region were relatively higher, the Panxi region and the Chuanxibei region were relatively lower, and it had a larger regional gap during regions. The development level of Sichuan forestry efficiency was divided in-to 4 types, which were high efficiency and growth type, high efficiency and descending type, low efficiency and growth type, low efficiency and descending type, the cities(states) of high efficiency and growth type were mainly distributed in the Chengdu region and the Chuandong region, and there was a tendency to gradually reduce the difference during regions.
- © 2017, 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/).
Cite this article
TY - CONF AU - Chao Yu AU - Mei Li PY - 2017/04 DA - 2017/04 TI - The Evaluation and Spatial Differentiation of Forestry Efficiency in Si-chuan Province--Based on DEA-MI Model BT - Proceedings of the 2017 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2017) PB - Atlantis Press SP - 172 EP - 177 SN - 2352-5401 UR - https://doi.org/10.2991/icammce-17.2017.36 DO - 10.2991/icammce-17.2017.36 ID - Yu2017/04 ER -