自然资源学报 ›› 2021, Vol. 36 ›› Issue (2): 395-410.doi: 10.31497/zrzyxb.20210210

• 其他研究论文 • 上一篇    下一篇

中国省际农业碳排放测算及低碳化水平评价——基于衍生指标与TOPSIS法的运用

田成诗(), 陈雨   

  1. 东北财经大学统计学院,大连 116025
  • 收稿日期:2019-10-06 修回日期:2019-12-16 出版日期:2021-02-28 发布日期:2021-04-28
  • 作者简介:田成诗(1971- ),男,辽宁大连人,博士,教授,博士生导师,主要从事资源经济学研究。E-mail: sctian71@163.com
  • 基金资助:
    国家社会科学基金重大项目(14ZDB130);辽宁省教育厅项目(LN2019Z12)

China's provincial agricultural carbon emissions measurement and low carbonization level evaluation: Based on the application of derivative indicators and TOPSIS

TIAN Cheng-shi(), CHEN Yu   

  1. College of Statistics, Dongbei University of Finance and Economics, Dalian 116025, Liaoning, China
  • Received:2019-10-06 Revised:2019-12-16 Online:2021-02-28 Published:2021-04-28

摘要:

农业碳排放量测算及低碳化水平评价,是实现农业绿色发展和制定碳减排计划的重要依据。通过测算2006—2016年中国30个省份的农业碳排放量,并以测算结果为基础,从农业用地、禽畜养殖和农业能源三个方面构造农业碳排放衍生指标,采用基于动态自然权重的TOPSIS法对各省农业低碳化水平进行评价。结果表明:中国农业碳排放总量呈先降后升的“V型”变化,由2006年的91096万t下降至2008年的83521万t,此后稳步增加至2016年的92192万t。农业非能源碳排放量占农业碳排放总量的84%以上,土壤管理是农业非能源碳排放的第一来源。省际农业碳排放衍生指标异质性较强,农业低碳化水平整体不高。研究结果可为农业和环境部门开展低碳农业评价工作提供借鉴。

关键词: 农业碳排放, 低碳化水平, 衍生指标, TOPSIS法

Abstract:

The calculation of agricultural carbon emissions and the evaluation of low carbonization levels are important bases for realizing green development of agriculture and formulating carbon emission reduction plans. This article firstly calculated the agricultural carbon emissions of 30 provincial-level regions in China from 2006 to 2016. Based on the calculation results, the agricultural carbon emission derivative indicators were constructed from three aspects: agricultural land, livestock farming and agricultural energy. The low carbonization levels of agriculture in the 30 regions were evaluated by the TOPSIS method with dynamic natural weights. The results showed that China's total agricultural carbon emissions showed a V-shaped tendency, which was 910.96 million tons in 2006 and dropped to 835.21 million tons in 2008, and steadily increased to 921.92 million tons in 2016 afterwards. Agricultural non-energy carbon emissions accounted for more than 84% of the total agricultural carbon emissions, and soil management was the largest source of agricultural non-energy carbon emissions. China's inter-provincial agricultural carbon emission derivatives were heterogeneous, and the overall low carbonization level of agriculture was not high. These provided references for agricultural and environmental departments to carry out low-carbon agriculture evaluation.

Key words: agricultural carbon emissions, low carbonization level, derivative indicator, TOPSIS method