Abstract

At present, e-commerce mode has been gradually applied to agricultural science and technology production, which has played an important role in agricultural economic growth and production efficiency. At the same time, the fundamental way out for sustainable and stable development of agriculture is science and technology. Generally speaking, part of the growth of the agricultural economy comes from agricultural production factors. The increase in input is partly due to the improvement of productivity of agricultural elements. Therefore, based on the background of the e-commerce environment, this paper chooses the entropy method to study the relationship between agricultural science and technology input and agricultural economic growth. Compared with the exponential method and the Bolat method, the entropy method can scientifically determine the specific weight of the indicators based on the variation of each quantitative index, so as to improve the accuracy and objectivity of the quantitative index analysis and avoid the adverse effects of human factors. The entropy method is used to evaluate and analyze the development level of agricultural e-commerce, which improves the accuracy and reliability of the evaluation results. Based on this, this paper makes an empirical study on the relationship between agricultural science and technology input and agricultural economic growth by using the method of entropy under the mode of e-commerce, constructs the index system of agricultural productivity, evaluates the situation of agricultural science and technology input and agricultural economic growth, and studies the relationship between them by using the method of regression analysis. Research shows that the application of agricultural science and technology investment and e-commerce mode can promote agricultural economic growth.

Highlights

  • Since the beginning of the construction of agricultural e-commerce in China in the early 1990s, we considered the lag and significance of the impact of informatization construction on agricultural economic growth, and the availability of data

  • That is to say, when other conditions are unchanged, the level of agricultural e-commerce is increased by 1%, and the total factor productivity of agriculture is increased by 0.061%, which is consistent with the assumption

  • In the e-commerce mode, an empirical study is conducted on the relationship between agricultural science and technology investment and agricultural economic growth

Read more

Summary

State of the Art

A lot of valuable research results have been obtained on the relationship between scientific research investment and economic growth and productivity growth [10]. Coe and Helpman (1995), Charles (1998), Guelec and Bruno (2001) have studied the relationship between total factor productivity and science and technology input through various econometric analysis models, and concluded that science and technology input is an important source of total factor productivity growth and the core factor of sustained economic growth. E-commerce model has a wide range of economic significance and social benefits by empirically studying the relationship between agricultural science and technology investment and agricultural economic growth

Indicators and Data Sources
Research Hypothesis
Variable Design and Model Description
Result
Findings
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.