中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on agricultural technology gap between China and Africa and its optimization path: based on meta-frontier SBM and fsQCA

文献类型:期刊论文

作者Lin, Qingning; Wang, Jingyi; Mao, Shiping; Li, Jingdong
刊名FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
出版日期2023-05-31
卷号7页码:1174989
ISSN号2571-581X
关键词China Africa technology gap configuration analysis fsQCA MFA
DOI10.3389/fsufs.2023.1174989
产权排序3
文献子类Article
英文摘要Recently, COVID-19 pandemic, locust plague, drought and conflict have seriously affected the development of agriculture in Africa, which make Africa countries difficultly to achieve the Sustainable Development Goals (SDGs) 1 and 2. As the cornerstone of agricultural development, technological progress has made brilliant contributions to achieving food security and nutrition improvement in African countries. And as the largest economic and trade partner of Africa, analyzing the agricultural technology gap between China and African countries and exploring optimal paths also has great significance for achieving SDGs 8 and 9. Therefore, the paper used the Meta-frontier SBM model to measure the agricultural technology gap between China and African countries from 2003 to 2019, and explores sources of the gap. On this basis, 24 African countries were taken as samples to identify multiple paths for narrowing the technology gap between China and Africa with the help of the configuration analysis method of the fuzzy-set qualitative comparative analysis (fsQCA). The results showed that the overall agricultural technology gap between China and Africa was narrowing, which was mainly caused by the reduction of pure technical inefficiency. However, sources of technology gap in African countries with different economic development levels were different. Configuration analysis found that agricultural technology innovation and institutional environment were the key conditional variables to narrow the agricultural technology gap between China and Africa. Five paths had been formed around two key conditional variables, and further summarized into three driving modes: technology-environment driving mode, technology-organization driving mode and organization-environment driving mode. Furthermore, this paper explored the multiple concurrent causality of narrowing the technology gap, which overcomes the deficiency of using regression methods. The paper highlights the importance of enhancing the integration of technical, organizational, and environmental conditions in African countries to collectively advance agricultural scientific and technological progress
学科主题Food Science & Technology
WOS关键词FOREIGN DIRECT-INVESTMENT ; BUSINESS ENVIRONMENT ; INNOVATION ; SPILLOVERS ; COUNTRIES ; GROWTH ; ENERGY ; FIRMS
WOS研究方向Food Science & Technology
出版者FRONTIERS MEDIA SA
源URL[http://ir.igsnrr.ac.cn/handle/311030/193777]  
专题生态系统网络观测与模拟院重点实验室_外文论文
作者单位1.Chinese Academy of Agricultural Sciences
2.Institute of Geographic Sciences & Natural Resources Research, CAS
3.Chinese Academy of Sciences
4.Agriculture Information Institute, CAAS
5.Institute of Agricultural Economics & Development, CAAS
推荐引用方式
GB/T 7714
Lin, Qingning,Wang, Jingyi,Mao, Shiping,et al. Research on agricultural technology gap between China and Africa and its optimization path: based on meta-frontier SBM and fsQCA[J]. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS,2023,7:1174989.
APA Lin, Qingning,Wang, Jingyi,Mao, Shiping,&Li, Jingdong.(2023).Research on agricultural technology gap between China and Africa and its optimization path: based on meta-frontier SBM and fsQCA.FRONTIERS IN SUSTAINABLE FOOD SYSTEMS,7,1174989.
MLA Lin, Qingning,et al."Research on agricultural technology gap between China and Africa and its optimization path: based on meta-frontier SBM and fsQCA".FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 7(2023):1174989.

入库方式: OAI收割

来源:地理科学与资源研究所

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