A Neural Network Model for Forecasting CO2 Emission

Crescenzio Gallo (crescenzio.gallo@unifg.it), F. Contò and Mariantonietta Fiore

AGRIS on-line Papers in Economics and Informatics, 2014, vol. 06, issue 2, 6

Abstract: Air pollution is today a serious problem, caused mainly by human activity. Classical methods are not considered able to efficiently model complex phenomena as meteorology and air pollution because, usually, they make approximations or too rigid schematisations. Our purpose is a more flexible architecture (artificial neural network model) to implement a short-term CO2 emission forecasting tool applied to the cereal sector in Apulia region – in Southern Italy - to determine how the introduction of cultural methods with less environmental impact acts on a possible pollution reduction.

Keywords: Environmental; Economics; and; Policy (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:aolpei:182488

DOI: 10.22004/ag.econ.182488

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