基于多层灰色关联和加权秩和比法的农业碳减排能力综合评价  

Comprehensive Evaluation of Agricultural Carbon Reduction Capacity Based on Multi-Layer Grey Comprehensive Evaluation Method and Weighted Rank Sum Ratio Method

作　　者：郭三党[1] 韩旭 贾静 刘芳[1] GUO San-dang;HAN Xu;JIA Jing;LIU Fang(School of Information and Management Science,Henan Agricultural University,Zhengzhou 450002,China)

机构地区：[1]河南农业大学信息与管理科学学院,河南郑州450002

出　　处：《数学的实践与认识》2025年第2期28-40,共13页Mathematics in Practice and Theory

基　　金：河南省高校人文社会科学研究项目(2025-ZDJH-033);河南省软科学研究计划项目(222400410148);河南省高等学校哲学社会科学基础研究重大项目(2024-JCZD-21);教育部产学合作协同育人项目(220604973135643);高校研究性教学改革研究与实践项目(2022SYJXLX017);河南农业大学繁荣哲学社会科学类项目(FRZS2023B04)。

摘　　要：为综合评价我国省域农业碳减排能力,文章以我国30个省(市、区)为研究对象,采用多层灰色关联分析法和加权秩和比法以及二者模糊联合对我国省域的农业碳减排能力综合评价并对评价结果排序,同时根据加权秩和比临界值进行区域分类.结果显示:有效灌溉面积率、森林覆盖率和单位耕地面积农作物固碳量这3个三级指标是影响我国农业碳减排能力的主要因素,并且我国省域农业碳减排能力的空间格局分布有显著的地域特征,其中贵州的农业碳减排能力水平最高,北京最低。To comprehensively evaluate the agricultural carbon reduction capacity of provinces in China,this article takes 30 provinces(cities,districts)as research objects,uses multi-layer grey comprehensive evaluation method,weighted rank-sum ratio method,and fuzzy combination of the two to comprehensively evaluate the agricultural carbon reduction capacity of provinces in China.The evaluation results are sorted,and regional classification is carried out based on the critical value of weighted rank-sum ratio.The results show that the three tertiary indicators of effective irrigation area rate,forest coverage rate,and crop carbon sequestration per unit cultivated land area are the main factors affecting China's agricultural carbon reduction capacity.Moreover,the spatial distribution of China's provincial agricultural carbon reduction capacity has significant regional characteristics,with Guizhou having the highest level of agricultural carbon reduction capacity and Beijing having the lowest.

关 键 词：农业碳减排能力 多层灰色关联分析 加权秩和比法 模糊联合 区域分类 

分 类 号：F32[经济管理—产业经济]