Open AccessSimulation and Optimization of One Live Pig Low-Carbon Industry Chain Using SD-RCCM
Author(s) -
Jiuping Xu,
Jie Yan,
Liming Yao
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/303854
Subject(s) - sustainable development , biogas , order (exchange) , china , distribution (mathematics) , business , clean development mechanism , carbon fibers , natural resource economics , greenhouse gas , environmental economics , engineering , waste management , economics , ecology , computer science , geography , mathematical analysis , mathematics , archaeology , finance , algorithm , composite number , biology
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
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