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Abstract
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Article Information:
Running Efficiency and S&T Contribution to Regional Wastes' Treatment in China based on Parallel and Two-stage DEA models
Ning Li, Xing Wang, Muhammad Sabeeh and Li Wang
Corresponding Author: Ning Li
Submitted: October 09, 2012
Accepted: December 01, 2012
Published: April 05, 2013 |
Abstract:
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In this study, we apply parallel and two-stage DEA models to measure the running efficiency and S&T contribution to regional wastes' treatment in China. The process of harshly development in industry often sacrificed natural living environment of human being. Because of greenhouse effect, poor air and water quality, improper disposed solid waste and other environmental pollution problems, regional environment are bearing tremendous pressure. To relieve pressure on environment and keep sustainable development in China, decision makers begin to focus on the optimal measures of ecological environment. A novel parallel and two-stage DEA models were applied to evaluate the efficiency of regional wastes' treatment in China. While the status of wastes can be divided into three types, i.e. waste water, gas and solid wastes, we classified different types of treatments into three modes. Then, the multiple parallel DEA methodology is applied to calculate the treatment efficiency of these three modes of wastes' treatment in 30 provincial regions in China. Taking S&T inputs as a pivotal effect on wastes' treatments, two-stage DEA model was applied to calculate S&T contribution rate to wastes' treatment in 30 provincial regions in China. Based on the calculation results, decision making information can be drawn for each region in China and.
Key words: Ecological regions, overall efficiency, parallel DEA, sub-system efficiency, treatments of wastes, two-stage DEA,
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Cite this Reference:
Ning Li, Xing Wang, Muhammad Sabeeh and Li Wang, . Running Efficiency and S&T Contribution to Regional Wastes' Treatment in China based on Parallel and Two-stage DEA models. Research Journal of Applied Sciences, Engineering and Technology, (11): 3198-3203.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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