Environmental, Social and Governance Report 2022
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Expected increase in percentage of stores using eco-stoves | 52% | 22 | |||
| Expected number of stores using energy-saving dishwashers in Beijing | stores | 2 | 22 | ||
| Expected number of stores using intelligent ventilation system in Beijing | store | 1 | 22 | ||
| Expected reduction in electricity consumption by energy-saving dishwashers in Beijing | kWh | 14000 | 22 | ||
| Expected reduction in electricity consumption by intelligent ventilation system | kWh | 689000 | 22 | ||
| Expected reduction in electricity consumption by replacement of traditional stoves with eco-stoves | kWh | 1600 | 22 | ||
| Expected total number of stores using intelligent ventilation system | stores | 7 | 22 | ||
| Percentage of stores using eco-stoves | 36% | 45% | 22 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Electricity consumption reduction by intelligent ventilation system | kWh | 665000 | 22 | |
| Stores used intelligent ventilation system | stores | 6 | 22 | |
| Total electricity consumption reduction target by energy-saving equipment | kWh | 704600 | 22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Employee age distribution: 31-50 years old | % | 36 | 34 |
| Employee age distribution: Above 50 years old | % | 16 | 34 |
| Employee age distribution: Below 31 years old | % | 48 | 34 |
| Employee contract nature: Contract labour | % | 86 | 34 |
| Employee contract nature: Interns | % | 9 | 34 |
| Employee contract nature: Part-time | % | 5 | 34 |
| Employee gender distribution: Female | % | 41 | 34 |
| Employee gender distribution: Male | % | 59 | 34 |
| Employee ranking distribution: Foundation staff | % | 85 | 34 |
| Employee ranking distribution: Middle and senior management | % | 9 | 34 |
| Employee ranking distribution: Senior management | % | 6 | 34 |
| Employee regional distribution: Beijing | % | 23 | 34 |
| Employee regional distribution: Chengdu | % | 14 | 34 |
| Employee regional distribution: Eastern China | % | 38 | 34 |
| Employee regional distribution: Guangdong | % | 19 | 34 |
| Employee regional distribution: Hong Kong | % | 6 | 34 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Turnover rate by age: 31-50 years old | % | 34.5 | 34 |
| Turnover rate by age: Above 50 years old | % | 19.2 | 34 |
| Turnover rate by age: Below 31 years old | % | 36.1 | 34 |
| Turnover rate by gender: Female | % | 29.9 | 34 |
| Turnover rate by gender: Male | % | 33.7 | 34 |
| Turnover rate by region: Beijing | % | 33.8 | 34 |
| Turnover rate by region: Chengdu | % | 34 | 34 |
| Turnover rate by region: Eastern China | % | 31.4 | 34 |
| Turnover rate by region: Guangdong | % | 23.6 | 34 |
| Turnover rate by region: Hong Kong | % | 54.4 | 34 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Dianping Must-eat List - number of consecutive years on the list | years | 6 | 10 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Top 100 Chinese Catering Enterprises - number of consecutive years awarded | years | 12 | 10 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Top 500 Chinese Restaurant - number of years awarded | years | 7 | 10 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | KG |
| NOâ‚“ Emissions | KG |
| SOâ‚“ Emissions | KG |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes |
| Indirect Energy Emissions (Scope 2) | Tonnes |
| Scope 3 GHG Emissions (Business Travel) | Tonnes |
| Total GHG Emissions | Tonnes |
| Total GHG Emissions Intensity (By Revenue) | Tonnes/RMB1000 revenue |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Total Hazardous Waste | Tonnes |
| Total Hazardous Waste Intensity (By Revenue) | KG/RMB1000 revenue |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Non-Hazardous Waste Recycled | Tonnes |
| Total Non-Hazardous Waste Intensity (By Revenue) | KG/RMB1000 revenue |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Diesel Fuel Consumption | MWh | |||
| Energy Consumption Intensity (By Revenue) | MWh / RMB1000 revenue | |||
| Gasoline Consumption | MWh | |||
| Natural Gas Consumption | MWh | |||
| Percentage of Renewable Energy Consumption | % | 36 | 45 | 52 |
| Purchased Electricity | MWh | |||
| Purchased Heating | MWh | |||
| Total Energy Consumption | MWh |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Water Consumption | cubic meter |
| Water Consumption Intensity (By Revenue) | cubic meters/RMB1000 revenue |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 665000 | |
| Target Electricity Usage Reduction Percentage Compared to Last Year | % | 50 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Material Intensity (By Revenue) | KG/ RMB1000 revenue |
| Packaging Materials Consumed | Tonnes |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Contractors | % | 86 |
| Percentage of Employees Aged 30-50 | % | 36 |
| Percentage of Employees Aged Above 50 | % | 16 |
| Percentage of Employees Aged Below 30 | % | 48 |
| Percentage of Employees in East China | % | 38 |
| Percentage of Employees in Hong Kong | % | 6 |
| Percentage of Employees in Mainland China | % | 94 |
| Percentage of Female Employees | % | 41 |
| Percentage of Interns | % | 9 |
| Percentage of Male Employees | % | 59 |
| Percentage of Part-time Employees | % | 5 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 34.5 |
| Turnover Rate of Employees Aged Above 50 | % | 19.2 |
| Turnover Rate of Employees Aged Below 30 | % | 36.1 |
| Turnover Rate of Employees in East China | % | 31.4 |
| Turnover Rate of Employees in Hong Kong | % | 54.4 |
| Turnover Rate of Female Employees | % | 29.9 |
| Turnover Rate of Male Employees | % | 33.7 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Trained | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hours |
| Average Training Hours (General Staff) | hours |
| Average Training Hours (Male) | hours |
| Average Training Hours (Middle Management) | hours |
| Average Training Hours (Senior Management) | hours |
| Average Training Hours per Employee | hours |
| Total Training Hours | hours |