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Carbon Footprint Analysis for Mechanization of Maize Production Based on Life Cycle Assessment: A Case Study in Jilin Province, China

1
College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
2
Department of Apply of Mathematic, Jilin University of Finance and Economics, Changchun 130117, China
3
Colleges of Traffic, Northeast Forestry University, Harbin 150040, China
*
Author to whom correspondence should be addressed.
Academic Editor: Tiziano Gomiero
Sustainability 2015, 7(11), 15772-15784; https://doi.org/10.3390/su71115772
Received: 1 August 2015 / Revised: 18 November 2015 / Accepted: 19 November 2015 / Published: 24 November 2015
(This article belongs to the Special Issue Critical Issues on Soil Management and Conservation)
The theory on the carbon footprint of agriculture can systematically evaluate the carbon emissions caused by artificial factors from the agricultural production process, which is the theoretical basis for constructing low-carbon agriculture and has important guiding significance for realizing low-carbon agriculture. Based on farm production survey data from Jilin Province in 2014, this paper aims to obtain a clear understanding of the carbon footprint of maize production through the following method: (1) one ton of maize production was evaluated systematically by using the Life Cycle Assessment (LCA); (2) the carbon emissions of the whole system were estimated based on field measurement data, (3) using the emission factors we estimated Jilin’s carbon footprint for the period 2006–2013, and forecasted it for the period from 2014 to 2020 using the grey system model GM (1, 1). View Full-Text
Keywords: life cycle assessment; GHGs; maize production; carbon dioxide emissions; carbon footprint; GM (1, 1) life cycle assessment; GHGs; maize production; carbon dioxide emissions; carbon footprint; GM (1, 1)
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Wang, H.; Yang, Y.; Zhang, X.; Tian, G. Carbon Footprint Analysis for Mechanization of Maize Production Based on Life Cycle Assessment: A Case Study in Jilin Province, China. Sustainability 2015, 7, 15772-15784.

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