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Empirical Analysis of Agricultural Cultural Resources Value Evaluation under DEA Model

Wei Liang1, 2, Yang Ni3, Tingyi Li1, Xuejiao Lin1, Soo-Jin Chung1, *

1 Division of Business Administration, Wonkwang University, Iksan-si, 54538, Korea.
2 Shandong Agriculture and Engineering University, Jinan, 250100, China.
3 Weinan Normal University, Weinan, 714099, China.

* Corresponding Author: Soo-Jin Chung. Email: email.

Computers, Materials & Continua 2020, 65(2), 1411-1424.


Agricultural culture is a productive activity about education and management. It aims at high efficiency and high quality, uses technology as its means, and takes nature as its carrier. Agricultural cultural resources are the product of the rapid development of modern economy. It promotes the development of the national economy and profoundly affects people's production and life. DEA model, also known as data envelope analysis method, is an algorithm that uses multiple data decision units for input and output training to obtain the final model. This article explains the concept and basic characteristics of agricultural culture. Through questionnaire surveys and expert interviews, we collected development data, screened human, material, and financial data, and calculated information on economic and social resources. On this basis, this paper establishes the evaluation index of agricultural culture based on DEA model. Then, through empirical analysis from a specific perspective, it can be concluded that increasing human, material and financial input can achieve economic and social benefits. Generally speaking, cultural investment can promote the development of the industry. The research results of this paper laid a theoretical foundation for the development of agricultural culture, and put forward a development model focusing on technology development, improving investment efficiency, and investing in material resources.


Cite This Article

W. Liang, Y. Ni, T. Li, X. Lin and S. Chung, "Empirical analysis of agricultural cultural resources value evaluation under dea model," Computers, Materials & Continua, vol. 65, no.2, pp. 1411–1424, 2020.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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