Vol. 1 (2026)
Articles

Non-Grain Conversion of Cropping Structure and Agricultural Carbon Emissions: Evidence from China’s County-Level Panel Data

Xinyi Yan
School of Economics and Management, Nanchang Hangkong University, China

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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. Wooldridge JM. Econometric analysis of cross section and panel data. 2nd ed. Cambridge (MA): MIT Press; 2010.
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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