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《Journal of Arid Land Resources and Environment》 2018-12
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Spatial-temporal succession and agglomeration characteristics of diet carbon consumption for Chinese households

CAO Zhihong;HAO Jinmin;Zhengzhou University of Light Industry;College of Land Resource Management,China Agricultural University;  
Food is an important part of household consumption,and its carbon emission begins to get the attention of social extensive attention from all sectors as Chinese resident food consumption structure and pattern are in a quick succession. We analyzed spatial-temporal succession and agglomeration characteristics of Chinese households diet carbon consumption from the perspectives of raw materials,cook handling and storage preservation. The main results are as follows. Firstly,the proportion of raw materials in the peoples' food carbon consumption both showed a downward trend,but still occupied the core position. The food consumption carbon emission was 165375. 4 thousand tons in China in 2015,which was 6. 21% of the total energy carbon consumption.Secondly,in terms of its structure,diet carbon consumption per capita of Chinese households showed the increasing trend as a whole,and the ratio of diet materials to diet carbon consumption per capita showed a decline trend; and in 2015 its proportion was 56. 34%,but which still occupied an important position in the die carbon consumption. Carbon consumption in cooking processing changed gently,and preserve freshness carbon consumption rose significantly. Thirdly,the per capita carbon consumption between urban and rural residents in China was equal,but there were significant differences between urban and rural residents` food carbon consumption in consumption quality,process structure and development trend. Finally,the food consumption carbon consumption in different provinces and cities in mainland China presented the characteristics of national,agglomeration and central " collapse"; the population quantity was the main reason for the difference of food carbon consumption spatial distribution across mainland China.
【Fund】: 国家自然科学基金河南联合人才培养项目(U1504707);; 教育部人文社会科学研究青年基金项目(14YJCZH004);; 河南省高校科技创新人才支持计划(人文社科类)资助成果(2017-cx-028);; 国家自然科学青年基金项目(41501189);; 河南省高等学校青年骨干教师培养计划(2017GGJS098)资助
【CateGory Index】: X24;F126.1
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