Abstract
R&D investment is an important way to improve scientific and technological innovation capabilities. In an increasingly competitive market, the rapid changes in science and technology have brought new opportunities for enterprise development. However, if production factors cannot be rationally allocated, low allocation efficiency or low allocation efficiency is likely to occur. The phenomenon of excessive overflow of production factors makes the input factors unreasonable and causes the problem of lowering the economic output of enterprises. Therefore, this article analyzes the feasibility and timeliness of R&D investment from factors of production and enterprise output performance based on data mining. The problem is to optimize the rational allocation of future factors of production and provide assistance in achieving a combination of existing and new factors of production. For this test, we selected the companies listed in the Growth Enterprise Market and the survey period is from 2018 to 2020. The data is taken from the Guotaian database, some of which is obtained by manually reading the company’s annual report, and a multiple regression analysis model is established and tested. The relationship between R&D investment, production factors, and corporate performance is obtained. The group regression method is used to test the impact of production factors on R&D. Whether input and corporate performance have a moderating effect, and the specific moderating and lagging effects of production factors are investigated. Experiments have proved that the nonstandardized coefficient of R&D investment intensity and operating gross profit margin is 0.714, and the T value of 9.296 is positive and significant. Each increase of enterprise R&D investment intensity by 1 will increase operating gross profit margin by 0.714. The coefficient of operating gross profit margin is much smaller than the coefficient of Tobin’s Q value. This shows that the factor of production has a great influence on the relationship between R&D investment and corporate performance. It has the importance of being a specific practical guide for guiding GEM companies in my country with different elemental intensities to carry out R&D activities and improve corporate performance.
Highlights
In today’s global economic integration, the concept of technological innovation has sounded the clarion call of the new industrial revolution one after another, and the scientific and technological capabilities of enterprises have become the touchstone of whether enterprises can survive
We establish a multiple regression analysis model to test the relationship between R&D investment, production factors, and corporate performance
The establishment steps are as follows: put independent variables and control variables into the model and perform regression analysis to explore the relationship between R&D investment intensity and corporate performance and introduce adjustment variables, divide the samples into three groups in the three-dimensionality groups of production factors, and build the model as follows: Yi = a + bX1i + cX2 + ε: ð19Þ
Summary
In today’s global economic integration, the concept of technological innovation has sounded the clarion call of the new industrial revolution one after another, and the scientific and technological capabilities of enterprises have become the touchstone of whether enterprises can survive. Realizing market agriculture can improve China’s agricultural core competitiveness, increase farmers’ income, and contribute a lot. They discussed the current situation and influencing factors of the flow of production factors in the process of implementing marketoriented agriculture in our country and discussed the means to promote the circulation of agricultural production factors. Their research did not clearly propose how to realize the transition from traditional agriculture to modern market agriculture, and the overall research lacks data support [1]. A method based on data mining and statistical procedures is proposed to reduce the influence of outliers in the results. This article will apply the data mining classification algorithm to the actual problems of the performance evaluation of the market-oriented enterprises of production factors. This article introduces the variables of factors of production, investigates the relationship between them in detail and in detail, and expands the research space for corporate performance in future scientific research activities and research ideas
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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 callDisclaimer: 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.
