The synergistic effects of green subsidy policies on grain and land productivity in China’s farming sector
China has implemented the three subsidies policy reform (TSPR) as a green-oriented overhaul of its agricultural subsidy framework, aiming to strengthen food security while promoting cleaner agricultural production. This study investigates the impact of the TSPR on grain productivity using a nationally representative micro-panel dataset of 22,116 rural households from 2014 to 2017. A two-way fixed effects panel model and an instrumental variable approach are employed to address potential endogeneity and omitted variable bias, ensuring robust estimates of the reform’s effects on total factor productivity and land productivity. The analysis shows that the TSPR significantly enhances grain total factor productivity by 3.2% and land productivity by 2.5%, aligning with objectives to promote food security and green development. These gains are primarily driven by large-scale grain households, which record productivity improvements of 35.3% in TFP and 17.5% in land productivity, significantly exceeding those of smallholders. The reform achieves this effect largely by reallocating cultivated areas through land transfers to scale-oriented farmers. By linking subsidies to land quality and supporting scale operations, the TSPR integrates productivity growth with environmental sustainability, reflecting its green dimension.
Authors
- Amar Razzaq (ORCID: https://orcid.org/0000-0002-8858-2417)
- Feng Ye (ORCID: https://orcid.org/0000-0002-5419-2154)
- Chao Chen (ORCID: https://orcid.org/0009-0004-1299-8979)
- Qing Zhang (ORCID: https://orcid.org/0000-0002-0117-1704)
- Zilin Li
Institutions
- Huanggang Normal University (CN)
- Huazhong Agricultural University (CN)
- Jiangxi Agricultural University (CN)
- Hunan First Normal University (CN)
Publication Details
- Journal
- Cogent Food & Agriculture
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1080/23311932.2025.2572433
- Citations
- 1
- Primary Topic
- Agricultural Economics and Policy
- Type
- article
- Field-Weighted Citation Impact
- 4.83