IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8347-d966803.html
   My bibliography  Save this article

Influence Mechanisms of Dynamic Changes in Temperature, Precipitation, Sunshine Duration and Active Accumulated Temperature on Soybean Resources: A Case Study of Hulunbuir, China, from 1951 to 2019

Author

Listed:
  • Xuanwei Ning

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Peipei Dong

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Chengliang Wu

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yongliang Wang

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, China)

  • Yang Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

Abstract

As a raw material for clean energy supply for the new generation, the soybean is conducive to the realization of global energy transition and sustainable development in the context of “carbon neutrality”. However, global warming has been affecting soybean yields in recent years. How to clarify the correlation between meteorological factors and soybean yields, so as to ensure the security of soybean growth and development and the stability of renewable energy development, is a key concern of the government and academia. Based on the data of temperature, precipitation, sunshine duration and active accumulated temperature during the soybean growing season in Hulunbuir, Inner Mongolia Autonomous Region from 1951 to 2019, and soybean yield data of the city from 1985 to 2019, this paper adopted statistical methods such as the Trend Analysis Method, the Rescaled Range Analysis Method and so on to analyze the trends of yield changes, characteristics of abrupt changes and periodic patterns of climate factors and soybean yields in Hulunbuir. A Pearson Correlation Analysis and a Grey Relation Analysis were used to explore the correlation between climatic factors and soybean yields, followed by a comprehensive impact model of the combined effect of temperature and precipitation on soybean yields established by the Method of Integral Regression. The results showed that temperature and active accumulated temperature are the dominant factors affecting soybean yields in Hulunbuir, while the decrease in precipitation is unfavorable to the improvement of soybean yields. Meanwhile, temperature and precipitation have different effects on the growth and development of the soybean at different stages. The conclusion of this paper is of great practical significance for Hulunbuir to promote the sustainable development of clean energy.

Suggested Citation

  • Xuanwei Ning & Peipei Dong & Chengliang Wu & Yongliang Wang & Yang Zhang, 2022. "Influence Mechanisms of Dynamic Changes in Temperature, Precipitation, Sunshine Duration and Active Accumulated Temperature on Soybean Resources: A Case Study of Hulunbuir, China, from 1951 to 2019," Energies, MDPI, vol. 15(22), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8347-:d:966803
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8347/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/22/8347/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Islam, Md. Monirul & Sohag, Kazi & Alam, Md. Mahmudul, 2022. "Mineral import demand and clean energy transitions in the top mineral-importing countries," Resources Policy, Elsevier, vol. 78(C).
    2. Islam, Md. Monirul & Sohag, Kazi & Hammoudeh, Shawkat & Mariev, Oleg & Samargandi, Nahla, 2022. "Minerals import demands and clean energy transitions: A disaggregated analysis," Energy Economics, Elsevier, vol. 113(C).
    3. Jonghan Ko & Jaeil Cho & Jinsil Choi & Chang-Yong Yoon & Kyu-Nam An & Jong-Oh Ban & Dong-Kwan Kim, 2021. "Simulation of Crop Yields Grown under Agro-Photovoltaic Panels: A Case Study in Chonnam Province, South Korea," Energies, MDPI, vol. 14(24), pages 1-16, December.
    4. Arnaldo Walter & Joaquim Seabra & Jansle Rocha & Marjorie Guarenghi & Nathália Vieira & Desirèe Damame & João Luís Santos, 2021. "Spatially Explicit Assessment of the Feasibility of Sustainable Aviation Fuels Production in Brazil: Results of Three Case Studies," Energies, MDPI, vol. 14(16), pages 1-21, August.
    5. Chunyi Wang & Hans W. Linderholm & Yanling Song & Fang Wang & Yanju Liu & Jinfeng Tian & Jinxia Xu & Yingbo Song & Guoyu Ren, 2020. "Impacts of Drought on Maize and Soybean Production in Northeast China During the Past Five Decades," IJERPH, MDPI, vol. 17(7), pages 1-10, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qu, Chunzi & Bang, Rasmus Noss, 2023. "Comparative Investment Analysis of Wind and Nuclear Energy: Assessing the Impact of Changes in the Electricity Mix and Required Government Support for Investment Parity," Discussion Papers 2023/8, Norwegian School of Economics, Department of Business and Management Science.
    2. Irfan, Muhammad & Rehman, Mubeen Abdur & Razzaq, Asif & Hao, Yu, 2023. "What derives renewable energy transition in G-7 and E-7 countries? The role of financial development and mineral markets," Energy Economics, Elsevier, vol. 121(C).
    3. Jianfeng Guo & Kai Zhang & Kecheng Liu, 2022. "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    4. Islam, Md. Monirul & Sohag, Kazi & Mariev, Oleg, 2023. "Geopolitical risks and mineral-driven renewable energy generation in China: A decomposed analysis," Resources Policy, Elsevier, vol. 80(C).
    5. Md. Monirul Islam & Kazi Sohag & Faheem ur Rehman, 2022. "Do Geopolitical Tensions and Economic Policy Uncertainties Reorient Mineral Imports in the USA? A Fat-Tailed Data Analysis Using Novel Quantile Approaches," Mathematics, MDPI, vol. 11(1), pages 1-25, December.
    6. Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
    7. Yang, Xiaoming & Islam, Md. Monirul & Mentel, Grzegorz & Ahmad, Ashfaq & Vasa, László, 2024. "Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict," Resources Policy, Elsevier, vol. 89(C).
    8. Chuandi Fang & Yue Yuan & Jiahao Chen & Da Gao & Jing Peng, 2024. "Examination of Green Productivity in China’s Mining Industry: An In-Depth Exploration of the Role and Impact of Digital Economy," Sustainability, MDPI, vol. 16(1), pages 1-21, January.
    9. Zhixiao Zou & Changxiu Cheng & Shi Shen, 2023. "Effects of Meteorological Conditions and Irrigation Levels during Different Growth Stages on Maize Yield in the Jing-Jin-Ji Region," Sustainability, MDPI, vol. 15(4), pages 1-11, February.
    10. Hussain, Moon Moon & Pal, Shreya & Villanthenkodath, Muhammed Ashiq, 2023. "Towards sustainable development: The impact of transport infrastructure expenditure on the ecological footprint in India," Innovation and Green Development, Elsevier, vol. 2(2).
    11. Hao, Baozhen & Ma, Jingli & Si, Shihua & Wang, Xiaojie & Wang, Shuli & Li, Fengmei & Jiang, Lina, 2024. "Response of grain yield and water productivity to plant density in drought-tolerant maize cultivar under irrigated and rainfed conditions," Agricultural Water Management, Elsevier, vol. 298(C).
    12. Sohag, Kazi & Sokolova, Yulia & Vilamová, Šárka & Blueschke, Dmitri, 2023. "Volatility transmission from critical minerals prices to green investments," Resources Policy, Elsevier, vol. 82(C).
    13. Zhang, Xiaojing & Chang, Hsu-Ling & Su, Chi-Wei & Qin, Meng & Umar, Muhammad, 2024. "Exploring the dynamic interaction between geopolitical risks and lithium prices: A time-varying analysis," Resources Policy, Elsevier, vol. 90(C).
    14. Radebe, Nomkhosi & Chipangamate, Nelson, 2024. "Mining industry risks, and future critical minerals and metals supply chain resilience in emerging markets," Resources Policy, Elsevier, vol. 91(C).
    15. Islam, Md. Monirul & Sohag, Kazi & Hammoudeh, Shawkat & Mariev, Oleg & Samargandi, Nahla, 2022. "Minerals import demands and clean energy transitions: A disaggregated analysis," Energy Economics, Elsevier, vol. 113(C).
    16. Jiang, Lan & Jiang, Hua, 2023. "Analysis of predictions considering mineral prices, residential energy, and environmental risk: Evidence from the USA in COP 26 perspective," Resources Policy, Elsevier, vol. 82(C).
    17. Aline Scaramuzza Aquino & Milena Fernandes da Silva & Thiago Silva de Almeida & Filipe Neimaier Bilheri & Attilio Converti & James Correia de Melo, 2022. "Mapping of Alternative Oilseeds from the Brazilian Caatinga and Assessment of Catalytic Pathways toward Biofuels Production," Energies, MDPI, vol. 15(18), pages 1-25, September.
    18. Liu, Yang & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Dong, Xiucheng, 2024. "How do minerals affect the global energy transition? Metallic versus non-metallic mineral," Resources Policy, Elsevier, vol. 92(C).
    19. Francisco Rosillo-Calle, 2022. "New Insights into Biomass and Biofuels in Rapidly Changing Energy Scenario," Energies, MDPI, vol. 15(18), pages 1-5, September.
    20. Md. Monirul Islam, 2024. "A Cross-Country Examination of Mineral Import Demand and Wind Energy Generation: Empirical Insights from Leading Mineral Importers," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(1), pages 6-32.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8347-:d:966803. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.