Affiliation:
1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
Abstract
Jilin is an important grain producing area and heavy industry base in China.
With the economic development and improvement of people's livelihood, water
resource issues have been becoming increasingly prominent, Jilin Province
comprehensive utilization of water resources is not efficient. The
traditional method of water consumption per 10000 Yuan of output value
cannot objectively reflect the water-use efficiency of different local
industrial structures. Therefore, this paper builds the data envelopment
analysis model based on the input-output relationship. In order to meet the
requirements of data envelopment analysis model for data analysis, this
paper introduces the principal component analysis method, and reduces the 16
water resources input indicators and 14 water resources output indicators
of Jilin Province from 2004 to 2017 to 3 input principal components and 2
output principal components. The multi-model data envelopment analysis
method is used to analyze the water-use efficiency of Jilin Province, and
the results show that with the rapid economic growth, the water resources
efficiency in 2010-2013 was relatively poor, there was a waste of water
resources, and the management technology was backward, but with the
deepening of the industrial transformation and upgrading, farming
modernization and revitalizing the strategy of the old industrial base in
Northeast China, the water-use efficiency and the water resources carrying
capacity of Jilin Province has been improved.
Publisher
National Library of Serbia
Subject
Renewable Energy, Sustainability and the Environment
Cited by
6 articles.
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