Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis
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 refinin...
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Agriculture |
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Online Access: | https://www.mdpi.com/2077-0472/11/12/1241 |
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author | Shuhua Zhang Bingjun Li Yingjie Yang |
author_facet | Shuhua Zhang Bingjun Li Yingjie Yang |
author_sort | Shuhua Zhang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T04:41:53Z |
format | Article |
id | doaj.art-bab9e0fd6c7c41c689ab9eceda42bcf5 |
institution | Directory Open Access Journal |
issn | 2077-0472 |
language | English |
last_indexed | 2024-03-10T04:41:53Z |
publishDate | 2021-12-01 |
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series | Agriculture |
spelling | doaj.art-bab9e0fd6c7c41c689ab9eceda42bcf52023-11-23T03:19:29ZengMDPI AGAgriculture2077-04722021-12-011112124110.3390/agriculture11121241Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence AnalysisShuhua Zhang0Bingjun Li1Yingjie Yang2College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, ChinaCollege of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, ChinaSchool of Computer Science and Informatics, Institute of Artificial Intelligence, De Montfort University, The Gateway, Leicester LE1 9BH, UKAnalyzing 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.https://www.mdpi.com/2077-0472/11/12/1241grey incidence analysisDEA-Malmquist index modelgrain productionscientific and technological innovation |
spellingShingle | Shuhua Zhang Bingjun Li Yingjie Yang Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis Agriculture grey incidence analysis DEA-Malmquist index model grain production scientific and technological innovation |
title | Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis |
title_full | Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis |
title_fullStr | Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis |
title_full_unstemmed | Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis |
title_short | Efficiency Analysis of Scientific and Technological Innovation in Grain Production Based on Improved Grey Incidence Analysis |
title_sort | efficiency analysis of scientific and technological innovation in grain production based on improved grey incidence analysis |
topic | grey incidence analysis DEA-Malmquist index model grain production scientific and technological innovation |
url | https://www.mdpi.com/2077-0472/11/12/1241 |
work_keys_str_mv | AT shuhuazhang efficiencyanalysisofscientificandtechnologicalinnovationingrainproductionbasedonimprovedgreyincidenceanalysis AT bingjunli efficiencyanalysisofscientificandtechnologicalinnovationingrainproductionbasedonimprovedgreyincidenceanalysis AT yingjieyang efficiencyanalysisofscientificandtechnologicalinnovationingrainproductionbasedonimprovedgreyincidenceanalysis |