中国农机化学报2026，Vol.47Issue(1)：346-353,362,9.DOI:10.13733/j.jcam.issn.2095-5553.2026.01.047
我国农业绿色全要素生产率提升组态路径研究
Research on the path of improving the configuration of agricultural green total factor productivity in China
摘要
Abstract
Improving agricultural green total factor productivity(AGTFP)is an important way to realize low-carbon and efficient allocation of agricultural resources.Based on the TOE framework,this paper reveals the configuration path of achieving high AGTFP in 30 provinces and cities in China by using DEA,NCA and fsQCA research methods.The results show that:firstly,the single condition and the consistency after negation is lower than 0.9,which does not constitute a necessary condition,and the results are consistent after verification by NCA.Secondly,technical conditions are an important driving force to improve AGTFP,and environmental conditions play the role of"gentle pushing hand".Thirdly,the three driving paths of high AGTFP can be summarized into two driving modes:"multi-driven type"and"technology-driven type",and there is a potential substitution relationship between the two driving paths under the technology-driven mode.Fourthly,the three paths of non-high AGTFP not only highlight the important role of technical conditions in realizing high AGTFP,but also reflect that the absence of government support for agriculture can easily lead to non-high AGTFP.All regions should develop new agricultural productivity according to local conditions,play the role of a promising government,and promote the depth of agricultural organizations and the breadth of agricultural services to enhance AGTFP.关键词
农业绿色全要素生产率/技术—组织—环境框架/数据包络分析/必要性条件分析/模糊集定性比较分析Key words
agricultural green total factor productivity/technology-organization-environment framework/data envelopment analysis/necessity condition analysis/fuzzy-set qualitative comparative analysis分类
管理科学引用本文复制引用
Zhao Shuang,Ma Baofeng..我国农业绿色全要素生产率提升组态路径研究[J].中国农机化学报,2026,47(1):346-353,362,9.基金项目
河北省社科基金项目(HB23GL015)——数字经济背景下河北省农村三产融合发展机理与路径研究 （HB23GL015）
