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Soybean Production and Spatial Agglomeration in China from 1949 to 2019

Author

Listed:
  • Wenguang Chen

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100193, China)

  • Bangbang Zhang

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China)

  • Xiangbin Kong

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100193, China)

  • Liangyou Wen

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100193, China)

  • Yubo Liao

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100193, China)

  • Lingxin Kong

    (Essex Business School, University of Essex, Essex SS1 1BF, UK)

Abstract

By mastering the spatial-temporal evolution of patterns of soybean production, a reference for optimizing a soybean production layout could be provided, ensuring food security. The variation coefficient method, and the comparative advantage and spatial autocorrelation models were used to analyze the spatial divergence regularities of soybean production, sown area and yield, spatial-temporal changes in the comparative advantages of soybean planting efficiency and soybean planting scale, and the spatial agglomeration characteristics in China from 1949 to 2019. The results indicate that (1) from 1949 to 2019, soybean production and yield changes in China remained constant with a fluctuating upwards trend, and soybean sown areas hardly changed, yet experienced a sharp fluctuation. (2) The Northeast China Plain (NECP) was the main soybean-producing area, and its main position was strengthened. In contrast, the main soybean production position of the Huang-Huai-Hai Plain (HHHP) has declined. The Northern arid and semiarid region (NASR), the Sichuan Basin and surrounding areas (SBSR), the Middle-Lower Yangtze Plain (MLYP), and the Yunnan-Guizhou Plateau (YGP) became new soybean production growth poles. (3) The spatial distribution of soybean planting efficiency-related comparative advantages in China extended from northern China to the whole country, and the soybean planting scale-related comparative advantages proceeded through three stages: steady expansion, relative stability, contraction, and stabilization. (4) The spatial agglomeration of soybean planting efficiency-related comparative advantages has weakened, and the spatial agglomeration of the soybean planting scale-related comparative advantages exhibited a strengthening-weakening-strengthening-weakening process. Through our research analysis, we propose a policy resource to fully utilize the soybean planting efficiency-related comparative advantages in southern China (SC), promote grain-soybean rotation patterns in the HHHP and NECP, improve the soybean cultivation subsidy system, and build a soybean industry chain in the NECP.

Suggested Citation

  • Wenguang Chen & Bangbang Zhang & Xiangbin Kong & Liangyou Wen & Yubo Liao & Lingxin Kong, 2022. "Soybean Production and Spatial Agglomeration in China from 1949 to 2019," Land, MDPI, vol. 11(5), pages 1-17, May.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:734-:d:814912
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    References listed on IDEAS

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    1. Zhong, Honglin & Sun, Laixiang & Fischer, Günther & Tian, Zhan & Liang, Zhuoran, 2019. "Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain," Agricultural Systems, Elsevier, vol. 173(C), pages 94-106.
    2. Zemin Zhang & Changhe Lu, 2020. "Clustering Analysis of Soybean Production to Understand its Spatiotemporal Dynamics in the North China Plain," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    3. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2016. "Impacts of climate change on agriculture: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 105-124.
    4. Zhao, Jiongchao & Wang, Chong & Shi, Xiaoyu & Bo, Xiaozhi & Li, Shuo & Shang, Mengfei & Chen, Fu & Chu, Qingquan, 2021. "Modeling climatically suitable areas for soybean and their shifts across China," Agricultural Systems, Elsevier, vol. 192(C).
    5. Akhtar, Kashif & Wang, Weiyu & Khan, Ahmad & Ren, Guangxin & Afridi, Muhammad Zahir & Feng, Yongzhong & Yang, Gaihe, 2019. "Wheat straw mulching offset soil moisture deficient for improving physiological and growth performance of summer sown soybean," Agricultural Water Management, Elsevier, vol. 211(C), pages 16-25.
    6. Zhonglei Yu & Lei Liu & Hua Zhang & Jinshe Liang, 2017. "Exploring the Factors Driving Seasonal Farmland Abandonment: A Case Study at the Regional Level in Hunan Province, Central China," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    7. Shiwei Liu & Pingyu Zhang & Ben Marley & Wenxin Liu, 2019. "The Factors Affecting Farmers’ Soybean Planting Behavior in Heilongjiang Province, China," Agriculture, MDPI, vol. 9(9), pages 1-13, September.
    8. Lin Sun & Mingxian Qi & Michael R. Reed, 2018. "The effects of soybean trade policies on domestic soybean market in China during the food crisis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(3), pages 372-385, July.
    9. Liu, S. & Yang, J.Y. & Zhang, X.Y. & Drury, C.F. & Reynolds, W.D. & Hoogenboom, G., 2013. "Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China," Agricultural Water Management, Elsevier, vol. 123(C), pages 32-44.
    10. Yang, Guiyu & Li, Shuoyang & Wang, Hao & Wang, Lin, 2022. "Study on agricultural cultivation development layout based on the matching characteristic of water and land resources in North China Plain," Agricultural Water Management, Elsevier, vol. 259(C).
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