{"title":"Research On Factors Influencing the Efficiency of Agricultural Science and Technology Innovation","authors":"Wei-Min Lin, Chenghua Liu, Mei Li","doi":"10.4108/eai.17-6-2022.2322808","DOIUrl":null,"url":null,"abstract":". To explore the key factors affecting the efficiency of agricultural science and technology innovation, this paper selects 10 indicators to build a system of agricultural science and technology innovation influencing factors from the perspectives of government, enterprises and agriculture-related subjects, and uses a combination of intuitionistic fuzzy and DEMATEL methods for empirical analysis. It is found that three indicators: R&D funding investment (X 6 ), government support (X 4 ) and R&D personnel full-time equivalent (X 3 ) are the fundamental factors affecting its development. Based on this, countermeasure suggestions such as strengthening the strength of science and technology funding, increasing the proportion of R&D funding, and increasing R&D personnel are proposed as a way to improve the efficiency of agricultural science and technology innovation.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.17-6-2022.2322808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
. To explore the key factors affecting the efficiency of agricultural science and technology innovation, this paper selects 10 indicators to build a system of agricultural science and technology innovation influencing factors from the perspectives of government, enterprises and agriculture-related subjects, and uses a combination of intuitionistic fuzzy and DEMATEL methods for empirical analysis. It is found that three indicators: R&D funding investment (X 6 ), government support (X 4 ) and R&D personnel full-time equivalent (X 3 ) are the fundamental factors affecting its development. Based on this, countermeasure suggestions such as strengthening the strength of science and technology funding, increasing the proportion of R&D funding, and increasing R&D personnel are proposed as a way to improve the efficiency of agricultural science and technology innovation.