Open Access

ARTICLE

Empirical Analysis of Agricultural Cultural Resources Value Evaluation under DEA Model

Wei Liang^{1, 2}, Yang Ni³, Tingyi Li¹, Xuejiao Lin¹, Soo-Jin Chung^{1, *}

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: .

Computers, Materials & Continua 2020, 65(2), 1411-1424. https://doi.org/10.32604/cmc.2020.011166

Received 23 April 2020; Accepted 12 June 2020; Issue published 20 August 2020

Abstract

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.

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Keywords

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