Correlation Engine 2.0
Clear Search sequence regions


  • behaviors (1)
  • china (5)
  • factors (3)
  • fertilizers (1)
  • food (2)
  • food industry (3)
  • forest (1)
  • industry (2)
  • livestock (2)
  • phase (1)
  • random (1)
  • Sizes of these terms reflect their relevance to your search.

    Climate warming has become a global issue of close concern, and China, as a significant agricultural country, has an increasing demand for food, which requires China to increase carbon reduction in this industry. This paper accounts for carbon emissions from the food production industry (CEFI) using the input-output method, then screens the influencing factors of CEFI based on Random Forest (RF), analyzes the heterogeneous effects of the influencing factors on CEFI in different clusters through K-means-SHAP, and finally explores the potential of carbon emissions from this industry for the period 2024-2040. The study's findings are as follows: First, there are apparent inequalities in CEFI, especially between provinces, which are gradually increasing. Second, addressing people's consumption awareness and behaviors is not the fundamental solution to alleviate CEFI; instead, it should focus on sustainable agricultural production transformation and "food miles" in the transportation phase. In addition, attention needs to be paid to the impacts of fertilizer application, transport modes, and livestock management on the CEFI of each cluster. Finally, the study suggests that around 2028, 70% of China's provinces will be at the "carbon peak" and that less developed and more developed regions have more significant potential to reduce emissions. In this regard, this paper encourages a series of policies that are key to promoting the sustainable development of CEFI, such as reducing the volume and efficiency of traditional fertilizers, vigorously developing organic fertilizer inputs, strengthening technological innovation and R&D inputs in the transportation sector, and steadily supporting germplasm innovation in the livestock sector. Copyright © 2024 Elsevier Inc. All rights reserved.

    Citation

    Yuanping Wang, Lang Hu, Lingchun Hou, Weiguang Cai, Yu He, Xinyue Su. Study on Carbon Emission Influencing Factors and carbon emission reduction potential in China's food production industry. Environmental research. 2024 Nov 15;261:119702

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 39094894

    View Full Text