{"title":"基于滞后DEA模型的中国农业科技创新效率研究","authors":"Xuedong Liang, Xiaomin Wang, Qunxi Gong, Sipan Li","doi":"10.1145/3450588.3450593","DOIUrl":null,"url":null,"abstract":"Agricultural modernization is the fundamental direction of agricultural development, and agricultural technological innovation is an important force to accelerate agricultural modernization and accelerate the development of agricultural science and technology[1]. This paper uses the data related to agricultural science and technology innovation in 14 major agricultural provinces in China from 2007 to 2018, and uses the Almon polynomial to improve the three-stage DEA model to analyze the efficiency of agricultural science and technology innovation. The research shows that: (1) The efficiency of agricultural science and technology innovation after excluding the lag period and the influence of environmental variables has been improved as a whole; the original 21.4% of the provinces reached the scale effective, and the increase to 28.6% reached the scale effective; (2) The analysis shows that the agriculture of China’s 14 major agricultural provinces On the whole, the efficiency of science and technology investment is scale-effective and technologically effective, but there are still problems such as irrational investment in agricultural science and technology structure. The main reason is that technical efficiency is not effective. Finally, a plan for adjusting and optimizing the allocation of agricultural science and technology resources in major agricultural provinces in China is proposed; From the three aspects of increasing investment in agricultural science and technology innovation; enhancing technical level, strengthening the transformation of results, improving management efficiency, and improving management mechanisms, targeted suggestions have been made.","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on the Efficiency of Chinese Agricultural Science and Technology Innovation Based on the Lagging DEA Model\",\"authors\":\"Xuedong Liang, Xiaomin Wang, Qunxi Gong, Sipan Li\",\"doi\":\"10.1145/3450588.3450593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agricultural modernization is the fundamental direction of agricultural development, and agricultural technological innovation is an important force to accelerate agricultural modernization and accelerate the development of agricultural science and technology[1]. This paper uses the data related to agricultural science and technology innovation in 14 major agricultural provinces in China from 2007 to 2018, and uses the Almon polynomial to improve the three-stage DEA model to analyze the efficiency of agricultural science and technology innovation. The research shows that: (1) The efficiency of agricultural science and technology innovation after excluding the lag period and the influence of environmental variables has been improved as a whole; the original 21.4% of the provinces reached the scale effective, and the increase to 28.6% reached the scale effective; (2) The analysis shows that the agriculture of China’s 14 major agricultural provinces On the whole, the efficiency of science and technology investment is scale-effective and technologically effective, but there are still problems such as irrational investment in agricultural science and technology structure. The main reason is that technical efficiency is not effective. Finally, a plan for adjusting and optimizing the allocation of agricultural science and technology resources in major agricultural provinces in China is proposed; From the three aspects of increasing investment in agricultural science and technology innovation; enhancing technical level, strengthening the transformation of results, improving management efficiency, and improving management mechanisms, targeted suggestions have been made.\",\"PeriodicalId\":150426,\"journal\":{\"name\":\"Proceedings of the 2021 4th International Conference on Computers in Management and Business\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 4th International Conference on Computers in Management and Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3450588.3450593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3450588.3450593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Efficiency of Chinese Agricultural Science and Technology Innovation Based on the Lagging DEA Model
Agricultural modernization is the fundamental direction of agricultural development, and agricultural technological innovation is an important force to accelerate agricultural modernization and accelerate the development of agricultural science and technology[1]. This paper uses the data related to agricultural science and technology innovation in 14 major agricultural provinces in China from 2007 to 2018, and uses the Almon polynomial to improve the three-stage DEA model to analyze the efficiency of agricultural science and technology innovation. The research shows that: (1) The efficiency of agricultural science and technology innovation after excluding the lag period and the influence of environmental variables has been improved as a whole; the original 21.4% of the provinces reached the scale effective, and the increase to 28.6% reached the scale effective; (2) The analysis shows that the agriculture of China’s 14 major agricultural provinces On the whole, the efficiency of science and technology investment is scale-effective and technologically effective, but there are still problems such as irrational investment in agricultural science and technology structure. The main reason is that technical efficiency is not effective. Finally, a plan for adjusting and optimizing the allocation of agricultural science and technology resources in major agricultural provinces in China is proposed; From the three aspects of increasing investment in agricultural science and technology innovation; enhancing technical level, strengthening the transformation of results, improving management efficiency, and improving management mechanisms, targeted suggestions have been made.