|Table of Contents|

Evaluation of Regional Agricultural Economic Competitiveness Based on Improved Differential Maximization Combination Weight

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2021年04
Page:
150-157
Research Field:
Publishing date:

Info

Title:
Evaluation of Regional Agricultural Economic Competitiveness Based on Improved Differential Maximization Combination Weight
Author(s):
REN Yongtai1YU Haoran2LIU Hui1WANG Huiying3
(1.College of Science,Northeast Agricultural University,Harbin,Heilongjiang 150030;2.College of Engineering,Northeast Agricultural University,Harbin,Heilongjiang 150030;3.College of Telecommunication,Northeast Agricultural University,Harbin,Heilongjiang 150030)
Keywords:
agricultural economic competitivenessdifferential maximizationcombination weightgray weight.
PACS:
-
DOI:
10.11937/bfyy.20200922
Abstract:
Agriculture is the pillar industry of national economy development.The competitiveness of agricultural economy was the comprehensive ability of agricultural economic development.Based on the data of 2017,the evaluation index system of agricultural economic competitiveness in Heilongjiang Province was constructed,three objective weighting methods were used to improve the combined weighting model of maximizing the grade difference.The degree of agricultural economic competitiveness of 13 prefectures and cities in Heilongjiang Province was comprehensively evaluated and sorted,the differences of the evaluated objects were opened to the maximum extent,and the rationality of the ranking of various evaluation results was guaranteed through the combined weight.Based on the comprehensive evaluation results,the countermeasures and suggestions to improve the competitiveness of agricultural economy in Heilongjiang Province were given.

References:

[1]迈克尔?波特.国家竞争优势[M].北京:华夏出版社,2002.[2]GUANG J T,WEI W.The comprehensive evaluation of regional agricultural brand competitiveness based on fuzzy gray analysis[J].Applied Mechanics and Materials,2010,44-47:3687-3691.[3]ANNA N,AGNIESZKA K.Agricultural competitiveness:The case of the European Union countries[J].Agricultural Economics,2016,62:507-516.[4]VLADA M,NATALYA Z,CLEMENS F,et al.Competitiveness of agricultural products in the Eurasian Economic Union[J].Agriculture,2019(9):61.[5]SEEMA N,POULOMI B.Relative export competitiveness of agricultural commodities and its determinants:Some evidence from India[J].World Development,2019,117:29-47.[6]杨辉平.新疆地州农业竞争力综合评价研究[J].农村经济与科技,2014,25(8):92-95.[7]王运奇.SSM分析法在农业产业结构效益与竞争力分析中的应用:以江苏省常州市为例[J].安徽农业科学,2015,43(26):298-300.[8]任璋琦.新疆农业竞争力评价分析[J].农村经济与科技,2016,27(22):129-132.[9]张应武,李董林.供给侧视角下农业产业竞争力研究:以海南省为例[J].中国农业资源与区划,2017,38(5):6-13.[10]侯婧,孟建锋.永清县现代农业示范区竞争力评价研究:基于GEM模型的实证分析[J].廊坊师范学院学报(自然科学版),2017,17(3):71-76.[11]李鹏柱,李风军,李星,等.基于三次样条插值函数的非线性动力系统数值求解[J].应用数学和力学,2015,36(8):887-896.[12]解钰茜,张林波,罗上华,等.基于双目标渐进法的中国省域生态文明发展水平评估研究[J].中国工程科学,2017,19(4):60-66.[13]李刚,迟国泰.级差最大化组合赋权的人的全面发展评价模型及实证[J].中国软科学,2009(9):147-155.[14]吴希.三种权重赋权法的比较分析[J].中国集体经济,2016(34):73-74.[15]文博,魏微,王杰才,等.环境绩效评估中多种赋权方法的对比分析[J].环境保护科学,2020,46(1):41-46.[16]雷玲,脱潇潇.基于供给侧结构性改革的陕西现代农业科技园区综合创新发展能力评价:基于熵权法与TOPSIS相结合的模型[J].科技管理研究,2019,39(3):114-120.[17]武孟飞,李炳军,魏新娟,等.基于熵权法的农产品流通效率模糊综合评价研究:以河南省为例[J].数学的实践与认识,2019,49(13):83-93.[18]刘海宏.广东省农业生态经济的时空变异分析[J].中国农业资源与区划,2019,40(6):170-177.[19]高金花,高晓珊,廉冀宁,等.基于AHP-熵权法的农业节水技术综合效益评价[J].农机化研究,2019,41(12):58-63.[20]钱吴永,党耀国,熊萍萍,等.基于灰色关联定权的TOPSIS法及其应用[J].系统工程,2009,27(8):124-126.[21]冯欢,谢世友,柳芬,等.基于灰色关联定权Topsis和GIS的重庆市资源环境承载力研究[J].西南大学学报(自然科学版),2017,39(2):92-99.[22]徐鹏.因子分析视阈下线上农产品供应链金融风险防范研究[J].农林经济管理学报,2016,15(6):674-680.[23]马子量.甘肃省农业现代化水平综合评价及划分研究[J].中国农业资源与区划,2017,38(11):207-212.[24]杨淑杰,李玉波,许请涛.吉林省农业经济发展与供给侧结构性改革研究:基于灰色关联分析[J].中国农机化学报,2019,40(8):208-213.[25]陈林生,鲍鑫培.现代都市农业背景下农业产业融合水平测度及评价研究:以上海为例[J].经济问题,2019(12):89-95.

Memo

Memo:
-
Last Update: 2021-06-07