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Modeling the Impact of Climatological Factors and Technological Revolution on Soybean Yield: Evidence from 13-Major Provinces of China

Author

Listed:
  • Huaquan Zhang

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Abbas Ali Chandio

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Fan Yang

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Yashuang Tang

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Martinson Ankrah Twumasi

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Ghulam Raza Sargani

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

In recent years, the changing climate has become a major global concern, and it poses a higher threat to the agricultural sector around the world. Consequently, this study examines the impact of changing climate and technological progress on soybean yield in the 13 major provinces of China, and considers the role of agricultural credit, farming size, public investment, and power of agricultural machinery from 2000 to 2020. Fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are applied to assess the long-run effect, while Dumitrescu and Hurlin’s (2012) causality test is used to explore the short-run causalities among the studied variables. The results revealed that an increase in the annual mean temperature negatively and significantly affects soybean yield, while precipitation expressively helps augment soybean yield. Furthermore, technological factors such as chemical fertilizers accelerate soybean yield significantly, whereas pesticides negatively influence soybean yield. In addition, farming size, public investment, and power of agricultural machinery contribute remarkably to soybean yield. The causality results endorse that chemical fertilizers, pesticides used, agricultural credit, public investment, and power of agricultural machinery have bidirectional causality links with soybean yield. This study suggests several fruitful policy implications for sustainable soybean production in China.

Suggested Citation

  • Huaquan Zhang & Abbas Ali Chandio & Fan Yang & Yashuang Tang & Martinson Ankrah Twumasi & Ghulam Raza Sargani, 2022. "Modeling the Impact of Climatological Factors and Technological Revolution on Soybean Yield: Evidence from 13-Major Provinces of China," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5708-:d:810606
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    Cited by:

    1. Chandio, Abbas Ali & Ozdemir, Dicle & Gokmenoglu, Korhan K. & Usman, Muhammad & Jiang, Yuansheng, 2024. "Digital agriculture for sustainable development in China: The promise of computerization," Technology in Society, Elsevier, vol. 76(C).
    2. Xuelan Li & Jiyu Jiang & Javier Cifuentes-Faura, 2023. "Coordinated Development and Sustainability of the Agriculture, Climate and Society System in China: Based on the PLE Analysis Framework," Land, MDPI, vol. 12(3), pages 1-19, March.
    3. Huaquan Zhang & Yashuang Tang & Abbas Ali Chandio & Ghulam Raza Sargani & Martinson Ankrah Twumasi, 2022. "Measuring the Effects of Climate Change on Wheat Production: Evidence from Northern China," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    4. Abbas Ali Chandio & Yasir A. Nasereldin & Dao Le Trang Anh & Yashuang Tang & Ghulam Raza Sargani & Huaquan Zhang, 2022. "The Impact of Technological Progress and Climate Change on Food Crop Production: Evidence from Sichuan—China," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    5. Chandio, Abbas Ali & Ozdemir, Dicle & Jiang, Yuansheng, 2023. "Modelling the impact of climate change and advanced agricultural technologies on grain output: Recent evidence from China," Ecological Modelling, Elsevier, vol. 485(C).
    6. Chandio, Abbas Ali & Dash, Devi Prasad & Nathaniel, Solomon Prince & Sargani, Ghulam Raza & Jiang, Yuansheng, 2023. "Mitigation pathways towards climate change: Modelling the impact of climatological factors on wheat production in top six regions of China," Ecological Modelling, Elsevier, vol. 481(C).

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