New productive forces show nonlinear enabling effect on Chinese agricultural digitisation

A panel study of 284 prefecture-level cities in China finds that new quality productive forces have a statistically significant enabling effect on agricultural digital transformation, with positive spatial spillovers that extend beyond each city to surrounding regions. The analysis, covering 2011–2022, also identifies regional variation and a nonlinear relationship characterised by a double threshold. Researchers Qingqing Huang and Wenjing Guo used panel data from 284 Chinese prefecture-level cities to examine how new quality productive factors relate to the digital transformation of agriculture.

Their model estimates a significant promoting effect at the local level and finds evidence of positive spatial spillovers, meaning that agricultural digitisation in one city is linked with development in nearby areas. The supplied findings do not provide numerical effect sizes or define the geographic structure used to measure those spillovers. Threshold analysis showed that the enabling effect does not follow a uniform, linear pattern.

Instead, the model identifies two thresholds, indicating that the relationship between new quality productive forces and agricultural digitisation changes as conditions vary. The available abstract does not report the threshold values or identify the variables used to define them, so the specific transitions cannot be assessed from the supplied material. Two mechanisms emerged in the analysis: labour skills and innovation capacity both mediate the relationship between new quality productive forces and agricultural digital transformation.

The model therefore links the broader productive forces to local digitisation through pathways involving workforce capabilities and innovation. The findings do not state the contribution of each pathway or establish whether they operate independently. Huang and Guo interpret this variation as a basis for regional coordination, talent cultivation and development suited to local conditions.

The study offers a city-level account of a national-scale process, but the supplied abstract does not detail the model specifications or causal-identification procedures. As a result, the strength of causal inference cannot be evaluated from the abstract alone, even though the study reports a significant promoting effect, positive spatial spillovers, mediation through labour skills and innovation capacity, and a double-threshold pattern.

Subject of Research: Nonlinear and spatial effects of new quality productive forces on agricultural digitisation in 284 Chinese prefecture-level cities

Article Title: Unlocking digital agriculture through new quality productive forces: nonlinear thresholds and spatial spillovers in China

Article References: Huang, Q., & Guo, W. (2026). Unlocking digital agriculture through new quality productive forces: nonlinear thresholds and spatial spillovers in China. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-026-09510-z

Image Credits: AI Generated

DOI: 10.1057/s41599-026-09510-z

Keywords: agricultural digitisation, digital agriculture, new quality productive forces, spatial spillovers, threshold analysis, labour skills, innovation capacity, regional heterogeneity, China, prefecture-level cities, Unlocking, digital