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数字基础设施建设驱动农业绿色生产的组态路径基于农业绿色全要素生产率

The configuration path of driving agricultural green production through digital infrastructure construction: based on the agricultural green total factor productivity

  • 摘要: 识别数字基础设施建设支持农业绿色生产的不同路径,有助于因地制宜提升农业绿色全要素生产率。本文基于技术-组织-环境(TOE)框架与组态视角,以2014—2023年中国29个省份的面板数据为样本,采用熵值法测度前因条件,结合基于松弛变量的测度(SBM)模型与全局Malmquist–Luenberger(GML)指数测算农业绿色全要素生产率,并运用模糊集定性比较分析(fsQCA)方法识别不同条件组合下的实现路径。结果表明:1)各单一条件均未构成高水平农业绿色全要素生产率的必要条件,不同技术、组织和环境条件组合能够形成多元实现路径。2)共识别出5条高水平组态路径,可归纳为政策制度主导型、数字化服务主导型和双要素协同型。3)政策与制度环境在4条高水平路径中为核心存在条件,在另一条路径中为边缘存在条件,而在所识别的非高水平路径中为核心缺失条件,体现了制度支持在不同组合中的重要作用。4)组态路径存在时间与地区差异,技术条件在部分后期路径中的核心地位更加突出;高数字基础设施建设组的路径数量和总体覆盖率较高,低建设组则表现出更为集中的政策制度主导特征。据此,应完善政策制度支持,结合地区条件配置数字设施与配套资源,提高数字化服务与经营主体需求的适配性,推进农业绿色生产。

     

    Abstract: Identifying the different paths for digital infrastructure construction to support agricultural green production is conducive to enhancing the agricultural green total factor productivity in a targeted manner. Based on the technology-organization-environment (TOE) framework and the configuration perspective, this paper uses the panel data of 29 provinces in China from 2014 to 2023 as a sample, measures the antecedent conditions using the entropy method, combines the measurement based on slack variables (SBM) model and the global Malmquist-Luenberger (GML) index to calculate the agricultural green total factor productivity, and uses the fuzzy set qualitative comparative analysis (fsQCA) method to identify the implementation paths under different condition combinations. The results show: 1) Each single condition is not a necessary condition for high-level agricultural green total factor productivity. Different combinations of technologies, organizations and environments can form multiple implementation paths. 2) Five high-level configuration paths have been identified, which can be classified as policy and institutional dominance type, digital service dominance type and dual-factor synergy type. 3) Policy and institutional environment is the core condition in 4 high-level paths, is an edge condition in another path, and is a core absence condition in the identified non-high-level paths, demonstrating the important role of institutional support in different combinations. 4) The configuration paths have regional and temporal differences. The core position of technical conditions is more prominent in some later paths; the paths of high digital infrastructure construction have a higher number and overall coverage, while the low construction group shows a more concentrated characteristic of policy and institutional dominance. Based on this, policy and institutional support should be improved, digital facilities and supporting resources should be configured in combination with regional conditions, the adaptability between digital services and the demands of operating entities should be improved, and agricultural green production should be promoted.

     

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