GlobalData offers a comprehensive analysis of Yum China, providing key insights into its Environmental, Social, and Governance(ESG) factors. By closely monitoring and aggregating mentions of Net Zero and associated ESG keywords, GlobalData delivers valuable information on Yum China’s ESG performance. GlobalData’s company profile on Yum China offers a 360-degree view of the company, SWOT analysis, key financials, and business strategy including insights on ESG implementation among other information. Buy the report here.

Yum China, the operator of KFC, Pizza Hut, and Taco Bell in China, has set a net-zero target for its greenhouse gas (GHG) emissions. Yum China latest filings mentioned the keywords ‘Carbon’ and ‘Climate Action’ most number of times in relation to Net Zero.

In 2022, Yum China reported its Scope 1 direct GHG emission at 165,197 tCO2e, and Scope 2 indirect GHG emission location based at 1,740,134 tCO2e. Yum China has specific near-term goals related to scope 1, scope 2, and scope 3 emissions, which include the reduction of absolute Scope 1 and 2 GHG emissions 63% by 2035 from a 2020 base year and reduction of Scope 3 GHG emissions from purchased goods 66.3% per ton of goods purchased by 2035 from a 2020 base year. The company aims to achieve the net-zero target by 2050, in line with the Paris Agreement's goal of limiting global warming to 1.5°C.

Yum China has taken several steps to reduce its emissions, including converting used cooking oil into biodiesel, purchasing renewable energy, and improving energy efficiency in its restaurants. The company has also invested in electric delivery vehicles and is exploring the use of hydrogen fuel cell vehicles. In 2022, Yum China's energy indirect (Scope 2) GHG emissions were generated by its company-owned KFC, Pizza Hut, Taco Bell, Little Sheep, Huang Ji Huang, COFFii & JOY, and Lavazza restaurants, offices, and logistics centers within its operational control.

In conclusion, Yum China has set a net-zero target for its GHG emissions. The company is taking steps to reduce its emissions, including converting used cooking oil into biodiesel and investing in renewable energy and energy efficiency to accelerate the low-carbon transformation of its own operations.

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GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies representing the world’s largest industries. This analysis is combined with crucial details on strategic and investment priorities, innovation strategies, and CXO insights to provide comprehensive company profiles.