Can Digitalization Promote Agricultural Carbon Decoupling Data set

This dataset supports the empirical analysis in the manuscript titled \"Can Digitalization Promote Agricultural Carbon Decoupling? Mechanism Identification and Heterogeneity Analysis Based on the KHB-feologit Framework,\" submitted to the Journal of Environmental Management. The dataset comprises a balanced provincial panel covering 31 Chinese provinces (autonomous regions and municipalities) over the period 2014–2023, yielding 310 province-year observations. The primary objective is to examine how digital-intelligence integration (digitalization) affects agricultural carbon decoupling status, as measured by a Tapio-framework-derived ordered decoupling index.本数据集用于支撑提交至《环境管理学报》（Journal of Environmental Management）的题为《数字化能否推动农业碳脱钩？基于KHB-feologit框架的机制识别与异质性分析》的论文中的实证分析。该数据集包含2014至2023年覆盖中国31个省（自治区、直辖市）的平衡省级面板数据，共计310组省-年度观测值。本研究的核心目标为检验数字智能融合（digital-intelligence integration，即数字化）对农业碳脱钩（agricultural carbon decoupling）状态的影响，其中农业碳脱钩状态由基于Tapio框架（Tapio framework）衍生的有序脱钩指数进行衡量。