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http://dx.doi.org/10.5389/KSAE.2014.56.1.061

Analysis on Correlation between CO2 Emissions and Production, Acreage of Crops using Environmental Input-Output Analysis  

Min, Seul-Gi (서울대학교 생태조경.지역시스템공학부 대학원)
Son, Young-Hwan (서울대학교 조경.지역시스템공학과)
Noh, Soo-Kack (서울대학교 생태조경.지역시스템공학부 대학원)
Park, Jae-Sung (서울대학교 생태조경.지역시스템공학부 대학원)
Bong, Tae-Ho (서울대학교 생태조경.지역시스템공학부 대학원)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.56, no.1, 2014 , pp. 61-70 More about this Journal
Abstract
South Korea is under pressure to reduce $CO_2$ emissions because of expanding request for reducing $CO_2$ emissions. In many industry sectors, $CO_2$ emissions were analyzed to reduce $CO_2$ emissions. But little effort in researching agricultural sector has been undertaken because it is recognized as environmentally friendly industry. The object of this research is to estimate $CO_2$ emissions of crops and analysis on correlation between $CO_2$ emissions and production, acreage of crops. In this study, environmental input-output analysis was used to estimate $CO_2$ emissions of agricultural sector and spearman correlation coefficient was used to analysis on correlation between $CO_2$ emissions and statics like production and acreage. As a result, rice, barley, pulses and horticultural specialities had correlation with acreage and correlation coefficients of these crops were 0.800~0.933. Regression equations about $CO_2$ emissions and acreage of rice, barley, pulses and horticultural specialities was made and $R^2$ of these equations were 0.615~0.929. Using equations, $CO_2$ emissions of rice, barley, pulses and horticultural specialities can be estimated with acreage.
Keywords
Environmental input-output table; $CO_2$ emissions; Crop production; Crop acreage; Spearman correlation coefficient; Regression analysis;
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Times Cited By KSCI : 3  (Citation Analysis)
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