2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | 2019 | Report Pages |
|---|---|---|---|
| Scope 1 carbon emission from fuel combustion | tCO2e | 266 | 37 |
| Scope 2 carbon emission from purchased electricity | tCO2e | 170428 | 37 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Diesel | kWh | 103609 | 36 | ||
| Electricity | kWh | 24850263 | 25760025 | 25031357 | 36 |
| Electricity — Anhui Factory | kWh | 4248260 | 4595716 | 6381505 | 36 |
| Electricity — Fujian Jinjiang main Factory | kWh | 2914000 | 2852100 | 3143512 | 36 |
| Electricity — Fujian Quanzhou Koling Factory | kWh | 882360 | 604200 | 728765 | 36 |
| Electricity — Fujian Quanzhou main Factory | kWh | 14702190 | 14604590 | 11590205 | 36 |
| Electricity — Hunan Factory | kWh | 2103453 | 2814400 | 3187370 | 36 |
| Natural gas | kWh | 683545 | 686498 | 806974 | 36 |
| Petrol | kWh | 208310 | 36 | ||
| Total energy consumption | kWh | 25533808 | 26446523 | 26150250 | 36 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption (all factories) | m³ | 423621 | 455850 | 429271 | 37 |
| Water consumption - Anhui factory | m³ | 11834 | 24160 | 117118 | 37 |
| Water consumption - Fujian Jinjiang main factory | m³ | 68707 | 60482 | 60482 | 37 |
| Water consumption - Fujian Quanzhou Koling factory | m³ | 21857 | 17437 | 29242 | 37 |
| Water consumption - Fujian Quanzhou main factory | m³ | 294227 | 323655 | 193467 | 37 |
| Water consumption - Hunan factory | m³ | 26996 | 30106 | 28962 | 37 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Employee age group distribution - 30-50 | % | 60 | 25 | |
| Employee age group distribution - Above 50 | % | 6 | 25 | |
| Employee age group distribution - Below 30 | % | 34 | 25 | |
| Employee gender distribution - Female | % | 45 | 25 | |
| Employee gender distribution - Male | % | 55 | 25 | |
| Total number of employees | employees | 8500 | 8500 | 25 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of Work-Related Injuries | 17 | 24 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Lost Day Due to Work-Related Injuries | days | 131 | 24 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of high caliber employees selected for 2019 XMBA Program | employees | 70 | 29 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of Campus Running Leagues sponsored | events | 4 | 29 |
| Number of Xtep 321 Running Festival sponsored | event | 1 | 29 |
| Number of Xtep Miss Run sponsored | event | 1 | 29 |
| Number of Xtep Penguin Runs sponsored | events | 10 | 29 |
| Number of major marathons sponsored in Mainland China | events | 36 | 29 |
| Number of marathon and running event participants | participants | 800000 | 29 |
| Number of marathons and running events sponsored in Mainland China | events | 52 | 29 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Supplies donated to medical crew in Hubei province for COVID-19 outbreak | million RMB | 20 | 17 | |
| Total charitable donations made by the Group | million RMB | 854.3 | 17 |
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 | 2019 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 266 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 170428 |
| Total GHG Emissions | tCO2e | 170694 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Diesel Fuel Consumption | kWh | 103609 | ||
| Gasoline Consumption | kWh | 208310 | ||
| Natural Gas Consumption | kWh | 683545 | 686498 | 806974 |
| Purchased Electricity | kWh | 24850263 | 25760025 | 25031357 |
| Total Energy Consumption | kWh | 25533808 | 26446523 | 26150250 |
| Total Indirect Energy Consumption | kWh | 24850263 | 25760025 | 25031357 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption | m³ | 423621 | 455850 | 429271 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Total Employees | employees | 8500 | 8500 |
| Percentage of Employees Aged 30-50 | % | 60 | |
| Percentage of Employees Aged Above 50 | % | 6 | |
| Percentage of Employees Aged Below 30 | % | 34 | |
| Percentage of Female Employees | % | 45 | |
| Percentage of Male Employees | % | 55 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 131 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | million RMB | 20 | |
| Total Cash Donations | million RMB | 854.3 | 20 |
| Total Public Welfare Donations | million RMB | 854.3 | 20 |
| Total Social Investment | million RMB | 854.3 | 20 |