Non-Grain Conversion of Cropping Structure and Agricultural Carbon Emissions: Evidence from China’s County-Level Panel Data
Published 2026-08-18
Keywords
- Non-grain conversion of cropping structure,
- Agricultural carbon emissions,
- Land use transition,
- Two-way fixed effects,
- Low-carbon agriculture
Abstract
China’s non-grain conversion of cropping structure provides an empirical context for understanding how intra-arable crop composition adjustments affect county-level agricultural carbon emissions. However, local governments must simultaneously safeguard food security, farmer incomes, and low-carbon transitions, while farmers adjust crop choices in response to relative returns, production constraints, and policy boundaries. Using an unbalanced panel dataset of Chinese counties from 2000 to 2020, this paper constructs a non-grain conversion rate indicator and employs a two-way fixed-effects model at the county and year levels to examine the relationship between non-grain conversion and agricultural sector carbon emissions. The findings indicate that, after controlling for county fixed effects and annual common shocks, the non-grain conversion rate is significantly and positively correlated with agricultural carbon emissions. This conclusion remains generally robust after winsorization, alternative measures, and adjusted clustering levels. Mechanism results reveal that non-grain conversion creates emission pressures by increasing the proportion of cash crop cultivation, intensifying high-input production practices, and weakening the efficiency advantages of scale and mechanization. Heterogeneity results show that this relationship is stronger in major grain-producing areas, southern paddy field regions, the Yangtze River Economic Belt, counties with higher development levels, and counties with larger populations, while exhibiting different directions in some non-major producing areas, dryland regions, and counties with lower development levels. This paper integrates land use transition, crop composition choice, and agricultural carbon emissions into a unified analytical framework, demonstrating that non-grain conversion governance should not be understood as merely area-based regulation, but rather as institutional coordination embedded among food security, agricultural returns, and low-carbon transitions.
References
- Crippa M, Solazzo E, Guizzardi D, Monforti-Ferrario F, Tubiello FN, Leip A. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat Food. 2021; 2(3): 198-209. https://doi.org/10.1038/s43016-021-00225-9
- Xu X, Sharma P, Shu S, Lin T-S, Ciais P, Tubiello FN, et al. Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods. Nat Food. 2021; 2(9): 724-732. https://doi.org/10.1038/s43016-021-00358-x
- Tian H, Xu R, Canadell JG, Thompson RL, Winiwarter W, Suntharalingam P, et al. A comprehensive quantification of global nitrous oxide sources and sinks. Nature. 2020; 586(7828): 248-256. https://doi.org/10.1038/s41586-020-2780-0
- Poore J, Nemecek T. Reducing food’s environmental impacts through producers and consumers. Science. 2018; 360(6392): 987-992. https://doi.org/10.1126/science.aaq0216
- Springmann M, Clark M, Mason-D’Croz D, Wiebe K, Bodirsky BL, Lassaletta L, et al. Options for keeping the food system within environmental limits. Nature. 2018; 562(7728): 519-525. https://doi.org/10.1038/s41586-018-0594-0
- Clune S, Crossin E, Verghese K. Systematic review of greenhouse gas emissions for different fresh food categories. J Clean Prod. 2017; 140: 766-783. https://doi.org/10.1016/j.jclepro.2016.04.082
- Pelletier N, Audsley E, Brodt S, Garnett T, Henriksson P, Kendall A, et al. Energy intensity of agriculture and food systems. Annu Rev Environ Resour. 2011; 36(1): 223-246. https://doi.org/10.1146/annurev-environ-081710-161014
- Tubiello FN, Salvatore M, Ferrara AF, House J, Federici S, Rossi S, et al. The contribution of agriculture, forestry and other land use activities to global warming, 1990-2012. Glob Change Biol. 2015; 21(7): 2655-2660. https://doi.org/10.1111/gcb.12865
- Leip A, Bodirsky BL, Kugelberg S. The role of nitrogen in achieving sustainable food systems for healthy diets. Glob Food Sec. 2021; 28: 100408. https://doi.org/10.1016/j.gfs.2020.100408
- Crippa M, Guizzardi D, Muntean M, Schaaf E, Dentener F, van Aardenne JA, et al. Gridded emissions of air pollutants for the period 1970-2012 within EDGAR v4.3.2. Earth Syst Sci Data. 2018; 10(4): 1987-2013. https://doi.org/10.5194/essd-10-1987-2018
- Janssens-Maenhout G, Crippa M, Guizzardi D, Muntean M, Schaaf E, Dentener F, et al. EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970-2012. Earth Syst Sci Data. 2019; 11(3): 959-1002. https://doi.org/10.5194/essd-11-959-2019
- Reardon T, Echeverria R, Berdegue J, Minten B, Liverpool-Tasie S, Tschirley D, et al. Rapid transformation of food systems in developing regions: highlighting the role of agricultural research and innovations. Agric Syst. 2019; 172: 47-59. https://doi.org/10.1016/j.agsy.2018.01.022
- Feng Y, Ke M, Zhou T. Spatio-temporal dynamics of non-grain production of cultivated land in China. Sustainability. 2022; 14(21): 14286. https://doi.org/10.3390/su142114286
- Su H, Liu F, Zhang H, Ma X, Sun A. Progress and prospects of non-grain production of cultivated land in China. Sustainability. 2024; 16(9): 3517. https://doi.org/10.3390/su16093517
- Chen Y, Li M, Zhang Z. Does the rural land transfer promote the non-grain production of cultivated land in China? Land. 2023; 12(3): 688. https://doi.org/10.3390/land12030688
- Zhu Z, Dai Z, Li S, Feng Y. Spatiotemporal evolution of non-grain production of cultivated land and its underlying factors in China. Int J Environ Res Public Health. 2022; 19(13): 8210. https://doi.org/10.3390/ijerph19138210
- Pu L. Impact of cropland use changes based on non-agriculturalization, non-grainization and abandonment on grain potential production in Northeast China. Sci Rep. 2025; 15(1). https://doi.org/10.1038/s41598-025-09205-6
- Luo K, Wang H, Ma C, Wu C, Zheng X, Xie L. Carbon sinks and carbon emissions balance of land use transition in Xinjiang, China: differences and compensation. Sci Rep. 2022; 12(1). https://doi.org/10.1038/s41598-022-27095-w
- Chuai X, Huang X, Wang W, Zhao R, Zhang M, Wu C. Land use, total carbon emissions change and low carbon land management in Coastal Jiangsu, China. J Clean Prod. 2015; 103: 77-86. https://doi.org/10.1016/j.jclepro.2014.03.046
- Zhang C, Shi G, Shen J, Hu R. Productivity effect and overuse of pesticide in crop production in China. J Integr Agric. 2015; 14(9): 1903-1910. https://doi.org/10.1016/S2095-3119(15)61056-5
- Snyder CS, Bruulsema TW, Jensen TL, Fixen PE. Review of greenhouse gas emissions from crop production systems and fertilizer management effects. Agric Ecosyst Environ. 2009; 133(3-4): 247-266. https://doi.org/10.1016/j.agee.2009.04.021
- Fan J, Guo D, Han L, Liu C, Zhang C, Xie J, et al. Spatiotemporal dynamics of carbon footprint of main crop production in China. Int J Environ Res Public Health. 2022; 19(21): 13896. https://doi.org/10.3390/ijerph192113896
- Sui J, Lv W. Crop production and agricultural carbon emissions: relationship diagnosis and decomposition analysis. Int J Environ Res Public Health. 2021; 18(15): 8219. https://doi.org/10.3390/ijerph18158219
- Guan N, Liu L, Dong K, Xie M, Du Y. Agricultural mechanization, large-scale operation and agricultural carbon emissions. Cogent Food Agric. 2023; 9(1). https://doi.org/10.1080/23311932.2023.2238430
- Yang T, Huang X, Wang Y, Li H, Guo L. Dynamic linkages among climate change, mechanization and agricultural carbon emissions in rural China. Int J Environ Res Public Health. 2022; 19(21): 14508. https://doi.org/10.3390/ijerph192114508
- Wooldridge JM. Econometric analysis of cross section and panel data. 2nd ed. Cambridge (MA): MIT Press; 2010.
- Luo X, Ao X, Zhang Z, et al. Spatiotemporal variations of cultivated land use efficiency in the Yangtze River Economic Belt based on carbon emission constraints[J]. Journal of Geographical Sciences, 2020, 30(4): 535-552. https://doi.org/10.1007/s11442-020-1741-8
- Sun D, Cai S, Yuan X, et al. Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt[J]. Environmental Geochemistry and Health, 2022, 44(9): 2987-3006. https://doi.org/10.1007/s10653-021-01163-y
- Luo Y, Long X, Wu C, et al. Decoupling CO2 emissions from economic growth in agricultural sector across 30 Chinese provinces from 1997 to 2014[J]. Journal of Cleaner Production, 2017, 159: 220-228. https://doi.org/10.1016/j.jclepro.2017.05.076
- Zhang L, Pang J, Chen X, et al. Carbon emissions, energy consumption and economic growth: Evidence from the agricultural sector of China's main grain-producing areas[J]. Science of the Total Environment, 2019, 665: 1017-1025. https://doi.org/10.1016/j.scitotenv.2019.02.162
- van Beek C L, Meerburg B G, Schils R L M, et al. Feeding the world's increasing population while limiting climate change impacts: linking N2O and CH4 emissions from agriculture to population growth[J]. environmental science & policy, 2010, 13(2): 89-96. https://doi.org/10.1016/j.envsci.2009.11.001
- Tilman D, Balzer C, Hill J, et al. Global food demand and the sustainable intensification of agriculture[J]. Proceedings of the national academy of sciences, 2011, 108(50): 20260-20264. https://doi.org/10.1073/pnas.1116437108