IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i12p2281-d1301285.html
   My bibliography  Save this article

Measuring Carbon Emissions from Green and Low-Carbon Full-Life-Cycle Feeding in Large-Scale Pig Production Systems: A Case Study from Shaanxi Province, China

Author

Listed:
  • Qingsong Zhang

    (College of Economics and Management, Northwest Agriculture and Forestry University, Xianyang 712100, China)

  • Haoling Liao

    (College of Economics and Management, Northwest Agriculture and Forestry University, Xianyang 712100, China)

  • Honghong Yang

    (College of Economics and Management, Northwest Agriculture and Forestry University, Xianyang 712100, China)

  • Mengmeng Liu

    (College of Economics and Management, Northwest Agriculture and Forestry University, Xianyang 712100, China)

  • Suobin Jia

    (Shaanxi Zhengneng Agricultural and Animal Husbandry Science and Technology Co., Ltd., Xi’an 710201, China)

  • Hua Li

    (College of Economics and Management, Northwest Agriculture and Forestry University, Xianyang 712100, China)

Abstract

In the pursuit of establishing a more environmentally sustainable and low-carbon hog farming system, the accurate quantification of emissions of greenhouse gas emanating from these systems, especially within the context of China, becomes imperative. Here, drawing insights from a life cycle approach, exhaustive field surveys, and context-specific analyses, we establish an emission measurement index system tailored to hog farming enterprises in China’s Shaanxi Province. Using this methodology, we probed the emission profiles and characteristics of three emblematic hog farming enterprises in the region. Our key findings are as follows: (1) The carbon dioxide emissions per kilogram of pork, factoring in feed cultivation, processing, and transportation, for Pucheng Xinliu Science and Technology, Baoji Zhengneng Farming, and Baoji Zhenghui Farming were quantified as 0.80298 kg, 1.52438 kg, and 0.81366 kg, respectively. (2) Presently, the methane emission coefficient due to enteric fermentation in large-scale hog farms in Shaanxi surpasses the default value set by the Intergovernmental Panel on Climate Change (IPCC). There appears to be a consistent underestimation of enteric methane emissions from live pigs in the province, as gauged against the IPCC metrics. Notably, the emission factor for fattening pigs averaged 2.61823 kgCH 4 /head/year, while that for breeding pigs stood at 2.96752 kgCH 4 /head/year. (3) When examining methane and nitrous oxide outputs from manure across various production stages, we observed that emissions from lactating pigs significantly outweigh those from other stages. Interestingly, nitrous oxide emissions from breeding pigs during fattening, finishing, and gestation remained nearly the same, regardless of the manure treatment method. (4) Under the management protocols followed by Pucheng and Baoji, the total carbon emissions from an individual fattening pig amounted to 328.5283 kg and 539.2060 kg, respectively, whereas for breeding pigs, these values were 539.2060 kg and 551.6733 kg, respectively. Further calculations showed that the average carbon footprint CF of large-scale pig farms in China was 3.6281 kgCO 2 /kg pork. In conclusion, optimizing feed cultivation and transportation logistics, promoting integrated breeding and rearing practices, refining feed formulation, and advancing manure management practices can collaboratively attenuate greenhouse gas emissions. Such synergistic approaches hold promise for steering the hog industry towards a greener, low-carbon, and sustainable trajectory.

Suggested Citation

  • Qingsong Zhang & Haoling Liao & Honghong Yang & Mengmeng Liu & Suobin Jia & Hua Li, 2023. "Measuring Carbon Emissions from Green and Low-Carbon Full-Life-Cycle Feeding in Large-Scale Pig Production Systems: A Case Study from Shaanxi Province, China," Agriculture, MDPI, vol. 13(12), pages 1-22, December.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:12:p:2281-:d:1301285
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/12/2281/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/12/2281/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yun Tian & Rui Wang & Minhao Yin & Huijie Zhang, 2023. "Study on the Measurement and Influencing Factors of Rural Energy Carbon Emission Efficiency in China: Evidence Using the Provincial Panel Data," Agriculture, MDPI, vol. 13(2), pages 1-16, February.
    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. Tingting Wu & Junjun Chen & Chengchun Shi & Guidi Yang, 2023. "Carbon Emission Efficiency and Reduction Potential Based on Three-Stage Slacks-Based Measure with Data Envelopment Analysis and Malmquist at the City Scale in Fujian Province, China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    2. Yuan Tian & Xiuyi Shi, 2024. "Analysis of Dynamic Evolution and Driving Factors of Low-Carbon Utilization Efficiency of Cultivated Land in China," Agriculture, MDPI, vol. 14(4), pages 1-26, March.
    3. Duyen Dang Thi Thuy, 2023. "Energy and Agricultural Development in the Red River Delta Provinces, Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 216-224, July.
    4. Limei Song & Jiang Chang & Jianmei Yi, 2024. "A Bottom-Up Carbon Emission Assessment Model for Carbon Emission Control at the Level of Rural Detailed Planning," Land, MDPI, vol. 13(7), pages 1-25, July.

    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:jagris:v:13:y:2023:i:12:p:2281-:d:1301285. 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.