Environmental, Social and Governance Report 2017
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Maximum allowed concentration of lampblack emission for new food and beverage entities in Shenzhen | mg/m3 | 1 | 14 |
| Minimum removal efficiency of lampblack purification equipment required in Beijing and Shanghai | % | 90 | 14 |
| Nitrogen oxide exhaust gas emissions from vehicles | kg | 14 | 14 |
| Oxysulphide exhaust gas emissions from vehicles | kg | 151 | 14 |
| Particulate matters exhaust gas emissions from vehicles | kg | 136 | 14 |
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).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Carbon emissions generated per RMB1000 revenue on average | tonnes | 0.021 | 14 |
| Direct greenhouse gas emissions | tonnes | 9629 | 14 |
| Indirect greenhouse gas emissions | tonnes | 14610 | 14 |
| Other indirect greenhouse gas emissions from commercial flights | tonnes | 179 | 14 |
| Total greenhouse gas emissions | tonnes | 24418 | 14 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | Reporting Period | Report Pages |
|---|---|---|---|
| Hazardous waste | tonnes | 1.46 | 16 |
| Hazardous waste per revenue | kg/RMB1 million revenue | 1.29 | 16 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of provinces and cities in China that failed to meet water source quality standards (according to Greenpeace, June 2017) | 14 | 19 | |
| Total number of provinces and cities assessed for water source quality standards (according to Greenpeace, June 2017) | 31 | 19 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Employee number | 4500 | 3 | |
| Staff age distribution - 31-50 years old | percent | 27% | 27 |
| Staff age distribution - 50 years old above | percent | 9% | 27 |
| Staff age distribution - under 31 years old | percent | 64% | 27 |
| Staff gender ratio - Female | percent | 44% | 27 |
| Staff gender ratio - Male | percent | 56% | 27 |
| Staff level distribution - Basic level | percent | 84% | 27 |
| Staff level distribution - Middle management | percent | 12% | 27 |
| Staff level distribution - Senior management | percent | 4% | 27 |
| Staff type distribution - Contract labor | percent | 74% | 27 |
| Staff type distribution - Interns | percent | 18% | 27 |
| Staff type distribution - Part-time | percent | 8% | 27 |
| Total staff | persons | 4500 | 27 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| No. of participants - Basic level | people | 20260 | 28 |
| No. of participants - Female | people | 14313 | 28 |
| No. of participants - Male | people | 13175 | 28 |
| No. of participants - Middle management | people | 6355 | 28 |
| No. of participants - Senior management | people | 873 | 28 |
| No. of people trained - Culture and life enhancement | people | 13364 | 28 |
| No. of people trained - Managerial skill | people | 1916 | 28 |
| No. of people trained - Professional skill | people | 12208 | 28 |
| No. of people trained - Total | people | 27488 | 28 |
| No. of training/lesson - Culture and life enhancement | 91 | 28 | |
| No. of training/lesson - Managerial skill | 47 | 28 | |
| No. of training/lesson - Professional skill | 1000 | 28 | |
| No. of training/lesson - Total | 1138 | 28 | |
| Number of training sessions provided for staff self-improvement | 1138 | 3 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Average training time per staff - Basic level | hours | 162 | 28 |
| Average training time per staff - Female | hours | 185 | 28 |
| Average training time per staff - Male | hours | 133 | 28 |
| Average training time per staff - Middle management | hours | 143 | 28 |
| Average training time per staff - Senior management | hours | 54 | 28 |
| Training hours - Culture and life enhancement | hours | 263.5 | 28 |
| Training hours - Managerial skill | hours | 307.5 | 28 |
| Training hours - Professional skill | hours | 1225.5 | 28 |
| Training hours - Total | hours | 1796.5 | 28 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Frequency of 5S internal audit assessment on implementation of 5S in outlets | annually | 23 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Annual revenue of the Group | billion RMB | 1.36 | 3 |
| Number of students under coaching in Tang Palace course programme | 1134 | 26 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 136 |
| NOâ‚“ Emissions | kg | 14 |
| SOâ‚“ Emissions | kg | 151 |
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 | 2017 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes | 9629 |
| Indirect Energy Emissions (Scope 2) | tonnes | 14610 |
| Scope 3 GHG Emissions (Business Travel) | tonnes | 179 |
| Total GHG Emissions | tonnes | 24418 |
| Total GHG Emissions Intensity (By Revenue) | tonnes | 0.021 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | Reporting Period |
|---|---|---|
| Total Hazardous Waste | tonnes | 1.46 |
| Total Hazardous Waste Intensity (By Revenue) | kg/RMB1 million revenue | 1.29 |
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 |
|---|---|
| Diesel Fuel Consumption | MWh |
| Energy Consumption Intensity (By Revenue) | MWh per RMB1000 revenue |
| Gasoline Consumption | MWh |
| Natural Gas Consumption | MWh |
| Purchased Electricity | MWh |
| Purchased Heating | MWh |
| Total Direct Energy Consumption | MWh |
| Total Energy Consumption | MWh |
| Total Indirect Energy Consumption | MWh |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Water Consumption | cubic meters |
| Water Consumption Intensity (By Revenue) | cubic meter per RMB1000 revenue |
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 | 2017 |
|---|---|---|
| Number of Total Employees | persons | 4500 |
| Percentage of Contractors | percent | 74 |
| Percentage of Employees Aged 30-50 | percent | 27 |
| Percentage of Employees Aged Above 50 | percent | 9 |
| Percentage of Employees Aged Below 30 | percent | 64 |
| Percentage of Female Employees | percent | 44 |
| Percentage of General Employees | percent | 84 |
| Percentage of Interns | percent | 18 |
| Percentage of Male Employees | percent | 56 |
| Percentage of Middle Management Employees | percent | 12 |
| Percentage of Part-time Employees | percent | 8 |
| Percentage of Senior Management Employees | percent | 4 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Percentage of Trained Female Employees | % | 52.08 |
| Percentage of Trained Male Employees | % | 47.92 |
| Percentage of Trained Middle Management | % | 23.12 |
| Percentage of Trained Senior Management | % | 3.18 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Average Training Hours (Female) | hours | 185 |
| Average Training Hours (Male) | hours | 133 |
| Average Training Hours (Middle Management) | hours | 143 |
| Average Training Hours (Senior Management) | hours | 54 |
| Average Training Hours per Employee | hours | 162 |
| Total Training Hours | hours | 1796.5 |
| Training Hours of Professional Skills Development | hours | 1225.5 |