Simulation and Optimization of One Live Pig Low-Carbon Industry Chain Using SD-RCCM
Joint Authors
Yao, Liming
Yan, Jie
Xu, Jiuping
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The destruction of the natural environment has been drawing more and more attention.
Developing low-carbon industry chains is an effective solution to the conflict between rapid economic growth and high CO2 emissions.
Summarizing various traditional and new industry chain sustainable development, live pig industry was chosen as a typical industry chain to study low-carbon development using a system dynamics and random chance-constrained model (SD-RCCM).
Leshan, a world natural and cultural heritage area in China, was selected as a typical city to analyze the low-carbon pig industry.
Three different programs based on distribution ratios were selected to study this industry.
The results showed that program 1, which considers both environmental and economic benefits, realizes sustainable development.
In order to extend the pig industry chain and fully utilize pig ordure and other waste, introducing a Clean Development Mechanism (CDM) and household biogas exploitation program is recommended.
American Psychological Association (APA)
Xu, Jiuping& Yan, Jie& Yao, Liming. 2013. Simulation and Optimization of One Live Pig Low-Carbon Industry Chain Using SD-RCCM. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-461820
Modern Language Association (MLA)
Xu, Jiuping…[et al.]. Simulation and Optimization of One Live Pig Low-Carbon Industry Chain Using SD-RCCM. Abstract and Applied Analysis No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-461820
American Medical Association (AMA)
Xu, Jiuping& Yan, Jie& Yao, Liming. Simulation and Optimization of One Live Pig Low-Carbon Industry Chain Using SD-RCCM. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-461820
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461820