Analysis of Efficiency Differences and Research on Moderate Operational Scale of New Agricultural Business Entities in Northeast China

Author:

Ma Li1,Li Chuangang1,Xin Minghan1,Sun Nan2,Teng Yun1

Affiliation:

1. College of Engineering, Northeast Agricultural University, Harbin 150030, China

2. Ningde Times New Energy Technology Co., Ltd., Ningde 352000, China

Abstract

Various new agricultural business entities in China are important business organizations to improve agricultural production and management efficiency, and to promote the professional and large-scale development of agriculture. Exploring the efficiency differences of different business entities and the importance of moderate management scale in promoting the modernization of agriculture development has important practical significance. Based on the theory and method of system engineering, this study takes the main grain production areas of Northeast China as an example, and analyzes the efficiency differences of various new agricultural business entities by using the survey data of agricultural business entities and data envelopment analysis. Moreover, it applies the DEA-GA-BP prediction model and the entropy method (gray correlation analysis method) to study the moderate scale of agricultural business entities. The results show that there are certain efficiency differences among new agricultural business entities, among which the family farm has the highest average cross-efficiency value, and the best operational scale of the family farm is when the land cultivation area input is 9015~10,000 mu. The most optimal ranges of its production input factors are obtained, but the performance of the technical efficiency of family farms needs to be improved. Based on this, it is proposed that the focus of the construction of new agricultural business entities should be on family farms, with the best ratio of production factors for reference, constantly optimizing the allocation structure of production factors on family farms and strengthening the effective application of advanced production technologies on family farms.

Funder

Heilongjiang Province Philosophy and Social Science Planning Research Project

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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