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Comparative static analysis of provincial agricultural science and technology level based on grey clustering

Fenyi Dong (Henan Agricultural University, Zhengzhou, China)
Bing Qi (College of Information and Management Science, Henan Agricultural University, Zhengzhou, China)
Yuyang Jie (Henan Agricultural University, Zhengzhou, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Publication date: 8 October 2018

Abstract

Purpose

The purpose of this paper is to cluster and analyse the level of agricultural science and technology in China’s provinces by using grey clustering model, to have an overall understanding of the current situation of agricultural science and technology development in these provinces, and to offer a reference for decision-making departments to draw up agricultural science and technology development plans.

Design/methodology/approach

First of all, the grey clustering assessment is used to evaluate the clustering of agricultural science and technology level in China’s provinces in 2011, 2013 and 2015. Also a comparative static analysis is made. Then, based on the prediction data of GM (1,1) model, the provincial agricultural science and technology levels in 2017 and 2019 are analysed by grey clustering. Finally, some suggestions are put forward, such as adjusting the allocation of agricultural science and technology resources and providing policy preferences to backward areas, so as to promote the coordinated development of agricultural science and technology in China.

Findings

The development of agricultural science and technology in various provinces and regions of the authors’ country is unbalanced, with a big gap of agricultural and technology level between different provinces. What’s more, the level of agricultural science and technology in remote areas has been developing slowly, but it has been lagging behind. Through the grey clustering analysis of the provincial agricultural science and technology level in 2017 and 2019, it is concluded that the level of agricultural science and technology will be promoted as a whole, but the gap of agricultural science and technology level between different provinces and cities will be enlarged.

Research limitations/implications

This paper comprehensively studies the current situation and future development trends of agricultural science and technology in China’s provinces in recent years, and preliminarily analyses the reasons for the transformation of agricultural science and technology level, however, with no further inspection. Related research should be made for further study.

Practical implications

This paper will provide overall understanding of the current situation of agricultural science and technology development in China’s provinces and cities, and put forward relevant suggestions for the future development of agricultural science and technology in China’s provinces and cities, and provide references for decision-making departments to draw up agricultural science and technology development plans.

Originality/value

For the first time, the grey clustering method is used to the research of agricultural science and technology level in the province. It analyses and evaluates the past and present situation and predicts the future development trend of provincial agricultural science and technology level by the grey clustering analysis method, which is a complete research.

Keywords

Citation

Dong, F., Qi, B. and Jie, Y. (2018), "Comparative static analysis of provincial agricultural science and technology level based on grey clustering", Grey Systems: Theory and Application, Vol. 8 No. 4, pp. 481-493. https://doi.org/10.1108/GS-05-2018-0022

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited