ArticleHeliyon2023
The role of agricultural machinery in improving green grain productivity in China: Towards
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Influence of data elements on China's agricultural green total factor productivity.Scientific reports · 2025Article
- Optimization of Laser Repair Process for Agricultural Machinery Parts Based on Genetic Algorithm.Materials (Basel, Switzerland) · 2025Article
- Machine learning and analytic hierarchy process integration for selecting a sustainable tractor.Scientific reports · 2024Article
- Characterisation and causal model of the holistic dynamics of the integral sustainability of the agri-food system.PloS one · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
Agricultural machinery is effective in improving food production and labor productivity, but it also raises environmental concerns. The impacts of agricultural machinery on the green total factor productivity (GTFP) of grain in China are still under debate in the scientific literature. This study proposed an integrated framework for confronting this issue. The findings suggest that both agricultural mechanization and the GTFP of grain demonstrate a consistent upward trend with moderate fluctuations between 2001 and 2019. By expanding the spatial pattern, there is a positive spatial correlation between them. In addition, we compared the results in three grain functional areas by using the spatial Durbin model (SDM). There were significantly positive spatial spillover effects in major grain-producing areas, which were attributed to the
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