← Back to Volume 4, Issue 1

Research on Carbon Footprint of Tea Supply Chain Based on Cloud Computing Technology

Bo Dong
Vol.4, No.1, pp.445-448, 2024 DOI: 10.62051/ijgem.v4n1.53 August 27, 2024
Download PDF
Abstract: Global warming has become a common problem and challenge faced by humanity. Tea, as one of the traditional characteristic economic crops in China, is widely planted in many provinces in southern China. The supply chain processes of tea cultivation, processing, retail, and logistics emit large amounts of carbon dioxide and harmful gases, causing serious environmental impacts. However, different stakeholders in the tea supply chain, especially small and medium-sized enterprises, lack technical and financial support to optimize and measure their carbon emissions. This article proposes an integrated system that utilizes cloud computing technology to enable stakeholders in the tea supply chain to minimize and measure their carbon emissions at reasonable costs.
Keywords: Carbon footprint, Tea supply chain, Cloud technology
APA Citation: Bo Dong (2024). Research on Carbon Footprint of Tea Supply Chain Based on Cloud Computing Technology. International Journal of Global Economics and Management, 4(1), 445-448. https://doi.org/10.62051/ijgem.v4n1.53

References

  1. Dong Bo, Duan Manzhen, Li Shanshan, et al. Low carbon performance evaluation of regional logistics based on DEA [J]. Railway Transportation and Economics. 2016, Vol.10, p.18-21.
  2. Shaw K., Shankar R., Yadav S.S., et al. Modeling a low-carbon garment supply chain[J]. Prod, Plan, Control. 2013, Vol.24, p.851-865.
  3. Carbon Trust of UK.A Management Guide on Carbon Footprinting: The Next Step to Reducing Your Emission [EB/OL]. Information on: www.carbontrust.com/media/44869/j7912_ctv043_carbon_footprinting_aw_interactive.pdf.
  4. Yang Yajun. Chinese Tea Culture [M]. Shanghai: Shanghai Science and Technology Press, 2005.
  5. National Bureau of Statistics of the People's Republic of China. 2011 China Statistical Yearbook. Beijing: China National Bureau of Statistics Press, 2011.