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Determinants of changes in harvested area and yields of major crops in China

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Listed:
  • Yin, Fang
  • Sun, Zhanli
  • You, Liangzhi
  • Müller, Daniel

Abstract

Global agricultural production has risen substantially in recent decades and needs to rise further to meet the ever-growing food demand. While higher production can be directly attributed to agricultural expansion and intensification, the underlying factors behind the changes in cultivated areas and yields can be complicated and have not been well understood. China has dramatically increased its food production in past decades, especially during the initial approximately 30 years following the commencement of the rural reform in the late 1970s. The agricultural land use, including cropland areas, the composition of different crops and their spatial distributions, and crop yields have experienced substantial changes. In this research, we quantitatively analysed the changes in the harvested areas and yields of the four most widely cultivated crops in China (rice, wheat, maize, and soybean) at the county level from 1980 to 2011. We used spatial panel regressions to quantify the determinants of the observed changes in harvested area and yields for the major cultivation region of each of the four crops. Results showed that growth in population, gross domestic product, and urbanisation are positively associated with harvested areas. Higher usage of machinery and fertiliser inputs increased yields of the three cereal crops, while the harvested area of soybean decreased, particularly after China’s accession to the WTO. Our findings reveal how domestic urbanisation and changes in consumption patterns, coupled with the rising globalisation of agricultural markets, shaped China’s agricultural production and land use over the three decades. These insights shed light on the determinants of long-term agricultural dynamics and thus inform evidence-based decision-making.

Suggested Citation

  • Yin, Fang & Sun, Zhanli & You, Liangzhi & Müller, Daniel, 2024. "Determinants of changes in harvested area and yields of major crops in China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(2), pages 339-351.
  • Handle: RePEc:zbw:espost:289498
    DOI: 10.1007/s12571-023-01424-x
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    References listed on IDEAS

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    1. Yu Sheng & Xiaohui Tian & Weiqing Qiao & Chao Peng, 2020. "Measuring agricultural total factor productivity in China: pattern and drivers over the period of 1978‐2016," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), pages 82-103, January.
    2. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    3. Tao Jin & Taiyang Zhong, 2022. "Changing rice cropping patterns and their impact on food security in southern China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(4), pages 907-917, August.
    4. Judea Pearl, 2014. "Comment: Understanding Simpson's Paradox," The American Statistician, Taylor & Francis Journals, vol. 68(1), pages 8-13, February.
    5. Petra Hellegers, 2022. "Food security vulnerability due to trade dependencies on Russia and Ukraine," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1503-1510, December.
    6. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    7. You, Liangzhi, 2012. "A tale of two countries: Spatial and temporal patterns of rice productivity in China and Brazil," China Economic Review, Elsevier, vol. 23(3), pages 690-703.
    8. Yan Yu & J. Stephen Clark & Qingsong Tian & Fengxian Yan, 2022. "Rice yield response to climate and price policy in high-latitude regions of China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1143-1157, October.
    9. Lai, Zhaohao & Chen, Meiqiu & Liu, Taoju, 2020. "Changes in and prospects for cultivated land use since the reform and opening up in China," Land Use Policy, Elsevier, vol. 97(C).
    10. You, Liangzhi & Spoor, Max & Ulimwengu, John & Zhang, Shemei, 2011. "Land use change and environmental stress of wheat, rice and corn production in China," China Economic Review, Elsevier, vol. 22(4), pages 461-473.
    11. Wang, Mengru & Ma, Lin & Strokal, Maryna & Chu, Yanan & Kroeze, Carolien, 2018. "Exploring nutrient management options to increase nitrogen and phosphorus use efficiencies in food production of China," Agricultural Systems, Elsevier, vol. 163(C), pages 58-72.
    12. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    13. Yin, Fang & Sun, Zhanli & You, Liangzhi & Müller, Daniel, 2018. "Increasing concentration of major crops in China from 1980 to 2011," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(5), pages 480-493.
    14. Sheng, Yu & Tian, Xiaohui & Qiao, Weiqing & Peng, Chao, 2020. "Measuring agricultural total factor productivity in China: pattern and drivers over the period of 1978-2016," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), January.
    15. Sun, Zhanli & You, Liangzhi & Müller, Daniel, 2018. "Synthesis of agricultural land system change in China over the past 40 years," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(5), pages 473-479.
    16. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
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