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为服务于碳减排国家战略，以某典型大豆油脂加工企业为研究对象，明确碳排放计算边界，梳理能耗指标变化，采用碳排放系数法确定该企业二氧化碳排放量，推算2015—2022年我国大豆油脂加工业二氧化碳排放量，并提出碳减排措施。结果表明：2020年前该企业二氧化碳排放量为0.111 t/t（以大豆计），2020年后经工艺改进其二氧化碳排放量为0.097 t/t（以大豆计）；大豆油脂加工业二氧化碳排放量在2017年达到峰值，为1 095万t；如加工能耗稳定下降，虽然2030年大豆消费量达到最大值(1.26亿t)，大豆油脂加工业二氧化碳排放量仍在2017年达峰；蒸汽消耗和电耗是影响油脂加工碳排放的主要因素。为推动碳减排目标实现，大豆油脂加工业碳减排路径主要是通过持续管理和工艺改进，降低蒸汽用量和电耗。In order to serve the national strategy of carbon reduction, a typical soybean oil processing enterprise was taken as the research object, the calculation boundary of carbon emission was clarified, changes in energy consumption indicators were sorted out, and the carbon emission coefficient method was used to determine the carbon dioxide emission of the enterprise. The carbon dioxide emission of soybean oil processing industry in China from 2015 to 2022 were calculated, and carbon reduction measures were proposed. The results showed that before 2020, the carbon dioxide emission of the enterprise was 0.111 t/t (based on soybean), and after 2020, after process improvement, the carbon dioxide emission was 0.097 t/t (based on soybean). The carbon dioxide emission of the soybean oil processing industry reached its peak in 2017, reaching 10.95 million tons. If the processing energy consumption steadily decreases, although the soybean consumption will reach its maximum value (126 million tons) in 2030, the carbon dioxide emission of the soybean oil processing industry was still at its peak in 2017. Steam and electricity consumption are the main factors influencing the carbon emission of oil processing industry. To promote the achievement of carbon reduction targets, the main carbon reduction path of soybean oil processing industry is to reduce steam and electricity consumption through continuous management and process improvement.

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Copyright of Science & Technology of Cereals, Oils & Foods is the property of Science & Technology of Cereals, Oils & Foods Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of the Chinese Ceramic Society is the property of Bulletin of the Chinese Ceramic Society Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of the Chinese Ceramic Society is the property of Bulletin of the Chinese Ceramic Society Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of the Chinese Ceramic Society is the property of Bulletin of the Chinese Ceramic Society Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Bulletin of the Chinese Ceramic Society is the property of Bulletin of the Chinese Ceramic Society Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Grain reserves are of great significance to the maintenance of food security and social stability. Recently, the gap between the time and space in production, supply, and demand of grain in China has been continuously increasing, which leads to the unreasonable regional grain reserves scale problems of China. Taking province as research unit, this paper analyzed the temporal evolution and regional differences of regional grain reserves by utilizing spatial exploratory analysis and dissected influencing factors of regional grain reserves scale through spatial econometric model. It provided a definite method of regional grain reserves scale for different sub- regions. The results showed that: China's grain reserves spatial correlation index is bigger than zero and increased year by year, indicating that different regional reserves scales have significant positive spatial correlation. The overall distribution of China's grain reserves shows a polarization from east to west and has undergone a significant spatial-temporal evolution with high reserves area expanding to the northeast and low reserves area transferring to the west, which caused the increasing regional differences. Regression analysis shows that the scale of regional grain reserves is closely related to grain production capacity, population size, economic development, disaster influence, transportation conditions and social influence. The regression coefficient of the spatial lag term was 0.2451, manifesting that the geographical positive spatial correlation of regional reserves scales transmits through adjacent areas. Based on this, this paper put forward the prediction range of regional grain reserves scale in 2020 by considering the spatial effect and correlative factors, which provides a new perspective for researches on regional grain reserves in China. [ABSTRACT FROM AUTHOR]

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