Evaluation of Agricultural Green Development Based on Gini Coefficient and Hesitation Fuzzy Multi-Attribute Decision-Making: The Case of China

Min Wan, Haibo Kuang (), Yanbo Yang, Bi He, Sue Zhao, Ying Wang and Jingyi Huo
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Min Wan: College of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China
Haibo Kuang: College of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China
Yanbo Yang: College of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China
Bi He: Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian 116026, China
Sue Zhao: College of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China
Ying Wang: School of Economics and Management, Yantai University, Yantai 264005, China
Jingyi Huo: College of Shipping Economics and Management, Dalian Maritime University, Dalian 116026, China

Agriculture, 2023, vol. 13, issue 3, 1-15

Abstract: In order to systematically solve the problem of formulating agricultural green development strategies based on the four dimensions of policy green, industry green, science and technology green, and awareness green, this paper uses the method of combining the Gini coefficient with hesitation fuzzy multi-attribute decision-making to carry out research. The research shows that: (1) The three most critical factors affecting the green development of agriculture are “consumers’ awareness of purchasing green agricultural products”, “investment in the construction of rural ecological civilization” and “the number of farmers’ scientific and technological training”, and the corresponding index weights are 0.12, 0.1 and 0.1, respectively. (2) There are differences in policy, industry, science and technology, and consciousness in the green development of agriculture. The green development of policy shows an obvious upward trend. The industrial green development shows a relatively gentle upward trend. The green development of science and technology showed rapid growth from 2011 to 2017, and the growth slowed down in the following two years and showed a downward trend in 2020. The awareness of green development shows a relatively stable upward trend. (3) The green development of agriculture is jointly driven by the relevant interests of the supply side, the demand side, and the regulator, and the demand side’s requirements for high-quality agricultural products become a stronger driving force for the green development of agriculture. The change in the consciousness and thinking of agricultural product producers on the supply side has become the basis for the green development of agriculture, and the implementation of government policies has become an important guarantee for the green development of agriculture. The innovation of this paper is to build an evaluation index system including government, consumers, farmers’ awareness of multiple subjects, government policies at all levels, industrial production status, and agricultural production technology. At the same time, we build an evaluation model that can comprehensively analyze quantitative and qualitative indicators. In view of the need for a holistic analysis of the agricultural system in the study of agricultural green development, future studies will include air pollution emissions and agricultural transport services in the evaluation model to improve the scientific and universal model.

Keywords: green development of agriculture; Gini coefficient; hesitant fuzzy set; multi-attribute decision making (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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