Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China

Duan Lin; Zhang Ting

doi:doi:10.11648/j.si.20210902.15

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Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China

Duan Lin, Zhang Ting

Published in Science Innovation (Volume 9, Issue 2)

Received: 22 March 2021 Published: 26 April 2021

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Abstract

The first document of the central government in 2021 proposed to strengthen the supervision of agricultural product quality and food safety, and vigorously develop green food and organic food. Green agriculture is the core of the future development of modern agriculture, which is closely related to food safety, environmental protection and sustainable use of resources, and is the basis for realizing agricultural and rural modernization. In this paper, three objective weighting methods (entropy method, principal component analysis method, factor analysis method) were used to assign the weight of China's green agriculture development level index in 2018, and then combined with the combination evaluation method to calculate the comprehensive score and ranking. On this basis, the 31 provinces and cities in China were divided into four types by cluster analysis: high level of green agriculture development, high level of green agriculture development, medium level of green agriculture development and low level of green agriculture development. According to the study, Heilongjiang, Shandong, Jiangsu, Henan and Anhui were the regions with higher green agriculture development in 2018. On the other hand, the five least developed provinces and cities are Beijing, Ningxia, Hainan, Tianjin and Tibet. The overall situation of green agriculture development in China is unbalanced among regions. Therefore, according to the agricultural economic basis of each province or city, some suggestions are put forward in the hope of improving the agricultural production environment, improving the quality of green agricultural products, realizing the balanced development of green agriculture among regions and speeding up the process of agricultural and rural modernization.

Published in	Science Innovation (Volume 9, Issue 2)
DOI	10.11648/j.si.20210902.15
Page(s)	63-71
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Green Agriculture, Objective Weighting Method, Combination Evaluation Method, Clustering Analysis

References

[1]	刘连馥. 绿色农业初探. 北京：中国财经经济出版社，2005：64~67.
[2]	严立冬等.绿色农业导论.人民出版社，2008.
[3]	王保利,姚延婷.绿色农业产业集群评价指标体系及应用研究——以陕西省渭北绿色果品产业集群为例[J].中国农学通报,2006(08):588-593.
[4]	崔元锋,严立冬,陆金铸,屈志光.我国绿色农业发展水平综合评价体系研究[J].农业经济问题,2009,30(06):29-33.
[5]	张正斌,王大生,徐萍.中国绿色农业指标体系建设指导原则和构架[J].中国生态农业学报,2011,19(06):1461-1467.
[6]	卢秉福,孙一鸣,韩卫平.黑龙江省绿色农业可持续发展主要影响因素分析[J].中国农学通报,2011,27(32):110-113.
[7]	赵海波. 黑龙江省绿色农业发展研究[D].中共黑龙江省委党校,2020.
[8]	田云,张俊飚.中国绿色农业发展水平区域差异及成因研究[J].农业现代化研究,2013,34(01):85-89。
[9]	陆壮丽,谭静.广西农业绿色化发展水平评价指标体系的构建[J].农业网络信息,2016(11):12-15.
[10]	奉梅.四川省绿色农业发展区域特征及评价[J].中国农业资源与区划,2019,40(01):42-47.
[11]	郭显光.一种新的综合评价方法──组合评价法[J].统计研究,1995(05):56-59.
[12]	王倩. 中国省域绿色农业发展空间差异及影响因素研究[D].贵州大学,2019.
[13]	陈玮莹. 江西电网Z供电分公司综合绩效评价研究[D].东华理工大学,2019.
[14]	陆添超,康凯.熵值法和层次分析法在权重确定中的应用[J].电脑编程技巧与维护,2009(22):19-20+53.
[15]	郭显光.熵值法及其在综合评价中的应用[J].财贸研究,1994(06):56-60.

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Duan Lin, Zhang Ting. (2021). Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China. Science Innovation, 9(2), 63-71. https://doi.org/10.11648/j.si.20210902.15

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ACS Style

Duan Lin; Zhang Ting. Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China. Sci. Innov. 2021, 9(2), 63-71. doi: 10.11648/j.si.20210902.15

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AMA Style

Duan Lin, Zhang Ting. Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China. Sci Innov. 2021;9(2):63-71. doi: 10.11648/j.si.20210902.15

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@article{10.11648/j.si.20210902.15,
  author = {Duan Lin and Zhang Ting},
  title = {Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China},
  journal = {Science Innovation},
  volume = {9},
  number = {2},
  pages = {63-71},
  doi = {10.11648/j.si.20210902.15},
  url = {https://doi.org/10.11648/j.si.20210902.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20210902.15},
  abstract = {The first document of the central government in 2021 proposed to strengthen the supervision of agricultural product quality and food safety, and vigorously develop green food and organic food. Green agriculture is the core of the future development of modern agriculture, which is closely related to food safety, environmental protection and sustainable use of resources, and is the basis for realizing agricultural and rural modernization. In this paper, three objective weighting methods (entropy method, principal component analysis method, factor analysis method) were used to assign the weight of China's green agriculture development level index in 2018, and then combined with the combination evaluation method to calculate the comprehensive score and ranking. On this basis, the 31 provinces and cities in China were divided into four types by cluster analysis: high level of green agriculture development, high level of green agriculture development, medium level of green agriculture development and low level of green agriculture development. According to the study, Heilongjiang, Shandong, Jiangsu, Henan and Anhui were the regions with higher green agriculture development in 2018. On the other hand, the five least developed provinces and cities are Beijing, Ningxia, Hainan, Tianjin and Tibet. The overall situation of green agriculture development in China is unbalanced among regions. Therefore, according to the agricultural economic basis of each province or city, some suggestions are put forward in the hope of improving the agricultural production environment, improving the quality of green agricultural products, realizing the balanced development of green agriculture among regions and speeding up the process of agricultural and rural modernization.},
 year = {2021}
}

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TY  - JOUR
T1  - Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China
AU  - Duan Lin
AU  - Zhang Ting
Y1  - 2021/04/26
PY  - 2021
N1  - https://doi.org/10.11648/j.si.20210902.15
DO  - 10.11648/j.si.20210902.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 63
EP  - 71
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20210902.15
AB  - The first document of the central government in 2021 proposed to strengthen the supervision of agricultural product quality and food safety, and vigorously develop green food and organic food. Green agriculture is the core of the future development of modern agriculture, which is closely related to food safety, environmental protection and sustainable use of resources, and is the basis for realizing agricultural and rural modernization. In this paper, three objective weighting methods (entropy method, principal component analysis method, factor analysis method) were used to assign the weight of China's green agriculture development level index in 2018, and then combined with the combination evaluation method to calculate the comprehensive score and ranking. On this basis, the 31 provinces and cities in China were divided into four types by cluster analysis: high level of green agriculture development, high level of green agriculture development, medium level of green agriculture development and low level of green agriculture development. According to the study, Heilongjiang, Shandong, Jiangsu, Henan and Anhui were the regions with higher green agriculture development in 2018. On the other hand, the five least developed provinces and cities are Beijing, Ningxia, Hainan, Tianjin and Tibet. The overall situation of green agriculture development in China is unbalanced among regions. Therefore, according to the agricultural economic basis of each province or city, some suggestions are put forward in the hope of improving the agricultural production environment, improving the quality of green agricultural products, realizing the balanced development of green agriculture among regions and speeding up the process of agricultural and rural modernization.
VL  - 9
IS  - 2
ER  -

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Author Information

Duan Lin

School of Statistics of Chengdu University of Information Technology, Chengdu, China
Zhang Ting

School of Statistics of Chengdu University of Information Technology, Chengdu, China

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APA Style

Duan Lin, Zhang Ting. (2021). Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China. Science Innovation, 9(2), 63-71. https://doi.org/10.11648/j.si.20210902.15

Copy | Download

ACS Style

Duan Lin; Zhang Ting. Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China. Sci. Innov. 2021, 9(2), 63-71. doi: 10.11648/j.si.20210902.15

Copy | Download

AMA Style

Duan Lin, Zhang Ting. Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China. Sci Innov. 2021;9(2):63-71. doi: 10.11648/j.si.20210902.15

Copy | Download

@article{10.11648/j.si.20210902.15,
  author = {Duan Lin and Zhang Ting},
  title = {Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China},
  journal = {Science Innovation},
  volume = {9},
  number = {2},
  pages = {63-71},
  doi = {10.11648/j.si.20210902.15},
  url = {https://doi.org/10.11648/j.si.20210902.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20210902.15},
  abstract = {The first document of the central government in 2021 proposed to strengthen the supervision of agricultural product quality and food safety, and vigorously develop green food and organic food. Green agriculture is the core of the future development of modern agriculture, which is closely related to food safety, environmental protection and sustainable use of resources, and is the basis for realizing agricultural and rural modernization. In this paper, three objective weighting methods (entropy method, principal component analysis method, factor analysis method) were used to assign the weight of China's green agriculture development level index in 2018, and then combined with the combination evaluation method to calculate the comprehensive score and ranking. On this basis, the 31 provinces and cities in China were divided into four types by cluster analysis: high level of green agriculture development, high level of green agriculture development, medium level of green agriculture development and low level of green agriculture development. According to the study, Heilongjiang, Shandong, Jiangsu, Henan and Anhui were the regions with higher green agriculture development in 2018. On the other hand, the five least developed provinces and cities are Beijing, Ningxia, Hainan, Tianjin and Tibet. The overall situation of green agriculture development in China is unbalanced among regions. Therefore, according to the agricultural economic basis of each province or city, some suggestions are put forward in the hope of improving the agricultural production environment, improving the quality of green agricultural products, realizing the balanced development of green agriculture among regions and speeding up the process of agricultural and rural modernization.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Application of Combination Evaluation Method in Evaluation of Green Agriculture Development Level in China
AU  - Duan Lin
AU  - Zhang Ting
Y1  - 2021/04/26
PY  - 2021
N1  - https://doi.org/10.11648/j.si.20210902.15
DO  - 10.11648/j.si.20210902.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 63
EP  - 71
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20210902.15
AB  - The first document of the central government in 2021 proposed to strengthen the supervision of agricultural product quality and food safety, and vigorously develop green food and organic food. Green agriculture is the core of the future development of modern agriculture, which is closely related to food safety, environmental protection and sustainable use of resources, and is the basis for realizing agricultural and rural modernization. In this paper, three objective weighting methods (entropy method, principal component analysis method, factor analysis method) were used to assign the weight of China's green agriculture development level index in 2018, and then combined with the combination evaluation method to calculate the comprehensive score and ranking. On this basis, the 31 provinces and cities in China were divided into four types by cluster analysis: high level of green agriculture development, high level of green agriculture development, medium level of green agriculture development and low level of green agriculture development. According to the study, Heilongjiang, Shandong, Jiangsu, Henan and Anhui were the regions with higher green agriculture development in 2018. On the other hand, the five least developed provinces and cities are Beijing, Ningxia, Hainan, Tianjin and Tibet. The overall situation of green agriculture development in China is unbalanced among regions. Therefore, according to the agricultural economic basis of each province or city, some suggestions are put forward in the hope of improving the agricultural production environment, improving the quality of green agricultural products, realizing the balanced development of green agriculture among regions and speeding up the process of agricultural and rural modernization.
VL  - 9
IS  - 2
ER  -

Copy | Download