Digital Intelligence and Agricultural Non-Point Source Pollution in China, 2014-2023
Published: 14 April 2026| Version 1 | DOI: 10.17632/2vrzy58th7.1
Contributors:
Gang ying, Meihong HaiDescription
This dataset contains provincial-level panel data for 31 Chinese provinces covering the period 2014–2023. It comprises three main components: (1) Digital intelligence integration index constructed from digital infrastructure, technology application, intelligent equipment, and digital entity capabilities; (2) Agricultural non-point source pollution indicators including chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP); (3) Control variables including agricultural structure, economic development, fiscal agricultural expenditure, and topographic features. Data sources include the National Bureau of Statistics of China, China Agricultural Yearbook, and provincial statistical yearbooks.
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Categories
Economics, Environmental Science, Agricultural Economics