Abstract

Analyzing and evaluating the efficiency of scientific and technological innovation in grain production is conducive to the rational allocation of resources, promoting the development of scientific and technological innovation in grain production and providing guarantee for grain security. By refining the elements of grain production and scientific and technological innovation, an evaluation system of scientific and technological innovation in grain production is constructed. Firstly, combining linear programming together with the traditional grey synthetic incidence analysis model, a incidence analysis of the scientific and technological innovation indicators of grain production is carried out, and the key and secondary indexes affecting grain outputs are screened by an improved grey incidence analysis model. Secondly, based on DEA-Malmquist index model and taking the grain production process as the research object, the scientific and technological achievement transformation indicators are divided into pre-production, in-production and post-production indicators. The key indicators and secondary indicators of scientific and technological innovation of grain production in various cities of Henan Province from 2010 to 2019 are used to analyze the efficiency of scientific and technological innovation in each stage of grain production. The results show that: (1) The type of basic ability of scientific and technological innovation indicators and the transformation ability of scientific and technological innovation achievements are the major indicators influencing grain outputs, and the investment of basic resources of scientific and technological innovation and the transformation of scientific and technological innovation achievements are the most important to improve grain outputs. (2) In addition, the study reveals that the secondary indicators of the technological innovation efficiency of grain production based on the DEA-Malmquist index model are more efficient than the key indicators in the pre-production, in-production and post-production stages. And there are gaps in the scientific and technological innovation performance of grain production among cities in Henan Province, and the index of technological progress is the leading factor for the gap.

Highlights

  • Grain production and grain security have always been important for maintaining national stability and security, and a major strategic component of governance [1]

  • Through the key indicators and secondary indicators screened with the improved grey incidence model above, Data Envelopment Analysis (DEA)-Malmquist index model is used to analyze the efficiency of grain production in various stages of Henan Province

  • We selected the grey absolute incidence analysis and grey relative incidence analysis which are suitable for this study, and improved the grey comprehensive incidence analysis model based on the idea of linear programming

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Summary

Introduction

Grain production and grain security have always been important for maintaining national stability and security, and a major strategic component of governance [1]. 1985–2006 was a leap-forward stage, and in the mid-1980s, the reform of China’s science and technology and other fields began, and it was proposed that science and technology is the primary productive forces, which pointed out the direction for mechanization and scientization of grain production At this stage, great breakthroughs were made in the use of machinery and the input of chemical fertilizer, which increased from 1507.00 × 104 kw and 140.16 × 107 kg in 1984 to 8309.10 × 104 kw and 540.43 × 107 kg in 2006, respectively, and the grain yield per unit area entered the order of 5000.00 kg/ha. This study takes the cities and the whole province of Henan Province as the decision-making units, and puts forward the scientific and technological innovation system of grain production, which provides the basis for further exploring the situation of the cities in Henan Province in the efficiency of scientific and technological innovation of grain production

Materials and Methods
DEA-Malmquist Index Model
Key Indicators
Findings
Conclusions
Full Text
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