Earticle

초록

영어

Data is considered as a new kind of strategic resource, which can dig out more potential value. The concept of agricultural big data has entered people's field of vision, and agricultural informatization plays an important role in promoting the optimization of agricultural industry. In this paper, we make analysis of industrial structure by using large-scale data. According to the grey correlation analysis, the result shows that correlation degree between planting and agriculture industry is higher, so it is very important to optimize the structure of agricultural industry in the northeast region. At the same time, we should make full use of information technology to improve the agricultural efficiency, improve the agricultural education and training system, and promote the development of modern agriculture.

목차

Abstract
 1. Introduction
 2. Literature Review
  2.1. Agricultural Information Service
  2.2. Animal Husbandry Ecological Economy
  2.3. Industrial Relevance Theory
 3. Theoretical Model
  3.1. Agricultural Industry Structure
  3.2. Industrial Structure Optimization
  3.3. Gray Correlation Degree Theory
 4. Empirical Analysis
  4.1. Gray Correlation Analysis
  4.2. Correlation Coefficient
  4.3. Industrial Structure Optimization and Economic Growth
  4.4. Result Analysis
 5. Conclusion
  5.1. Optimize the Agricultural Structure System
  5.2. Establish Agricultural Products Quality Standards
  5.3. Strength Government's Macro Regulation and Control
  5.4. Pay Attention to Technology and Develop Modern Agriculture
 Acknowledgments
 References

키워드

저자

• Hui Yang [ College of Economics and Management, Northeast Agricultural University, Harbin, China ]
• Cuixia Li [ College of Economics and Management, Northeast Agricultural University, Harbin, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605