Open AccessResearch on Agricultural Production Efficiency of Guizhou Province Based on DEA-Malmquist Model
Author(s) -
Dongbing Huang,
Xinlei Wang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/310/5/052068
Subject(s) - total factor productivity , malmquist index , productivity , agricultural productivity , technological change , agriculture , production (economics) , technical progress , index (typography) , agricultural economics , economics , technical change , scale (ratio) , data envelopment analysis , economic growth , mathematics , geography , computer science , statistics , macroeconomics , cartography , archaeology , world wide web
The continuous improvement of agricultural production efficiency is an important guarantee for the development of modern agriculture. Based on the input-output data of agricultural production in 9 cities of Guizhou from 2005 to 2014, the agricultural production efficiency was analyzed by the DEA-Malmquist index method. It shows that: Firstly, the total factor productivity (TFP) of agriculture in Guizhou showed a decline trend, the growth rate of total factor productivity was -1.9%, and the main reason of the decline is the reduction of pure technical efficiency and scale efficiency. Secondly, the leading factors of total factor productivity decline are different in different regions of Guizhou. Thirdly, the main reason for the fluctuation of Malmquist index with time is technological progress, and technological progress plays a important role in improving productivity. Scale operation, the enhancement of management level, and the enhancement of scientific and technological innovation can be used to enhance agricultural productivity.