2020 Environmental, Social and Governance Report
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Diesel consumption in production facilities | kWh | 103609 | 155360 | 49 | |
| Electricity consumption - Anhui factory | kWh | 4595716 | 6381505 | 6340936 | 49 |
| Electricity consumption - Fujian Jinjiang main factory | kWh | 2852100 | 3143512 | 2775047 | 49 |
| Electricity consumption - Fujian Quanzhou Koling factory | kWh | 604200 | 728765 | 728701 | 49 |
| Electricity consumption - Fujian Quanzhou main factory | kWh | 14604590 | 11590205 | 15375683 | 49 |
| Electricity consumption - Hunan factory | kWh | 2814400 | 3187370 | 3096804 | 49 |
| Electricity consumption in production facilities | kWh | 25471006 | 25031357 | 28317171 | 49 |
| Gasoline consumption in production facilities | kWh | 208310 | 552368 | 49 | |
| Liquefied natural gas consumption in production facilities | kWh | 181359865 | 49 | ||
| Natural gas consumption in production facilities | kWh | 806974 | 744166 | 49 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption (including Xtep Run Clubs, Headquarters, Group production sites) | m³ | 546797 | 50 | ||
| Water consumption - Anhui factory | m³ | 24160 | 117118 | 105735 | 50 |
| Water consumption - Fujian Jinjiang main factory | m³ | 60482 | 60482 | 63110 | 50 |
| Water consumption - Fujian Quanzhou Koling factory | m³ | 17437 | 29242 | 29709 | 50 |
| Water consumption - Fujian Quanzhou main factory | m³ | 323665 | 193467 | 283827 | 50 |
| Water consumption - Hunan factory | m³ | 30106 | 28962 | 39247 | 50 |
| Water consumption in production facilities | m³ | 455850 | 429271 | 521628 | 50 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Employee turnover rate by age group: 30–50 (excluding time-rate and piece-rate workers) | % | 26 | 31 |
| Employee turnover rate by age group: Above 50 (excluding time-rate and piece-rate workers) | % | 10 | 31 |
| Employee turnover rate by age group: Below 30 (excluding time-rate and piece-rate workers) | % | 37 | 31 |
| Employee turnover rate by gender: Female (excluding time-rate and piece-rate workers) | % | 23 | 31 |
| Employee turnover rate by gender: Male (excluding time-rate and piece-rate workers) | % | 33 | 31 |
| Operating profit | RMB million | 918 | 11 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Work-Related Injuries | 25 | 38 |
Lost days due to work injury.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Lost Days Due to Work-Related Injuries | days | 1091.5 | 38 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of courses offered through Five Faculties and Xtep Online Training Platform | courses | 457 | 34 |
| Number of staff members strengthened through XMBA program | staff members | 70 | 9 |
| Online and offline training provided to employees | hours | 420000 | 29 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Average training hours by employment category - General Management | hours | 113.6 | 36 |
| Average training hours by employment category - Non-Management | hours | 50.7 | 36 |
| Average training hours by employment category - Senior Management | hours | 42.6 | 36 |
| Average training hours by gender - Female | hours | 37.3 | 36 |
| Average training hours by gender - Male | hours | 72.8 | 36 |
| Hours of online and offline training provided to employees | hours | 420000 | 10, 34 |
| Proportion of training hours by function - Office | 9% | 36 | |
| Proportion of training hours by function - Production | 3% | 36 | |
| Proportion of training hours by function - Retail | 88% | 36 | |
| Total hours of training provided to employees | hours | 420000 | 9 |
| Total training hours provided | hours | 420000 | 36 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Net asset value per Share | RMB | 2.77 | 2.87 | 11 |
| Number of suppliers located in China | suppliers | 295 | 23 | |
| Number of suppliers located overseas | suppliers | 11 | 23 | |
| Percentage of Tier 1 suppliers in K-Swiss and Palladium supplier portfolio | percent | 30% | 23 | |
| Percentage of Tier 1 suppliers in core Xtep brand supplier portfolio | percent | 29% | 23 | |
| Percentage of Tier 2 suppliers in K-Swiss and Palladium supplier portfolio | percent | 70% | 23 | |
| Percentage of Tier 2 suppliers in core Xtep brand supplier portfolio | percent | 50% | 23 | |
| Percentage of Tier 3 suppliers in core Xtep brand supplier portfolio | percent | 21% | 23 | |
| Total number of suppliers in the Group | suppliers | 306 | 23 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Attendances at supplier training and seminars | attendances | 1300 | 10 |
| Minimum supplier assessment score for admission | percent | 70 | 24 |
| Number of supplier representatives attended training and seminars | 1300 | 28 | |
| Number of supplier training sessions and seminars | attendances | 1300 | 9 |
| Number of suppliers helped to establish certified laboratories | suppliers | 50 | 10, 28 |
| Number of suppliers supported to establish in-house certified laboratories | suppliers | 50 | 9 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| On-site assessment of core Xtep brand suppliers | suppliers | 80% | 10 |
| Supplier assessment score for conditional acceptance | percent | 60 to below 70 | 24 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of product and service-related complaints received via 400 Hotline | 3000 | 28 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of non-deal roadshows | 21 | 15 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| anti-corruption trainings for new joiners | 4 | 19 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of investor conferences | 18 | 15 | |
| Number of participants attracted to marathons and races in Mainland China | participants | 1500000 | 10 |
| Number of participants in sponsored marathons and races | million participants | 1.5 | 9 |
| Number of physical and virtual marathons and races sponsored | events | 71 | 9 |
| Number of physical and virtual marathons and races sponsored in Mainland China | events | 21 | 10 |
| Participants attracted to sponsored marathons and races in Mainland China | participants | 1500000 | 29 |
| Physical and virtual marathons and races sponsored in Mainland China | 21 | 29 | |
| Sportswear gear donated (value) | million RMB | 70 | 29 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2019–2020 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Final dividend per Share | HK cents | 7.5 | 7.5 | 11 | ||||
| Full year dividend payout ratio | 60.2% | 103.8% | 60.0% | 60.0% | 60.0% | 11 | ||
| Net cash and cash equivalents | RMB million | 2132 | 2251 | 11 | ||||
| Number of cities and countries receiving donated sports products | cities and countries | 40 | 9 | |||||
| Number of instant-drying clothes, jackets, and sports shoes donated to medical professionals during COVID-19 outbreak in Hubei province | items | 60000 | 44 | |||||
| Number of medical professionals supported with supplies during COVID-19 outbreak in Hubei province | medical professionals | 30000 | 44 | |||||
| Number of people benefiting from donated sports products | people | 200000 | 9 | |||||
| Number of schools receiving donated sports products | schools | 900 | 9 | |||||
| Revenue | RMB million | 8172 | 11 | |||||
| Revenue by brand nature - Athleisure | % | 12 | 11 | |||||
| Revenue by brand nature - Mass market | % | 87 | 11 | |||||
| Revenue by brand nature - Professional sports | % | 1 | 11 | |||||
| Revenue by product category - Accessories | % | 2 | 11 | |||||
| Revenue by product category - Apparel | % | 36 | 11 | |||||
| Revenue by product category - Footwear | % | 62 | 11 | |||||
| Value of sports products donated | million RMB | 70 | 9 | |||||
| Value of sportswear gear donated | RMB million | 70 | 10 | |||||
| Value of sportswear products donated to Dandelion School in Beijing | RMB | 3000 | 44 | |||||
| Value of supplies donated to medical professionals during COVID-19 outbreak in Hubei province | million RMB | 20 | 44 |
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) | tCO2e |
| Indirect Energy Emissions (Scope 2) | tCO2e |
| Total GHG Emissions | tCO2e |
| Total GHG Emissions Intensity (By Employee) | tCO2e per employee |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Diesel Fuel Consumption | kWh | 103609 | 155360 | |
| Electricity Consumption | kWh | 25031357 | 28317171 | |
| Gasoline Consumption | kWh | 208310 | 552368 | |
| Grid Electricity Consumption | kWh | 25471006 | 25031357 | 28317171 |
| LNG Consumption | kWh | 181359865 | ||
| Natural Gas Consumption | kWh | 806974 | 744166 | |
| Purchased Electricity | kWh | 25471006 | 25031357 | 28317171 |
| Total Energy Consumption | kWh | 215531323 | ||
| Total Indirect Energy Consumption | kWh | 25471006 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | m³ | 546797 | ||
| Water Consumption in Production and Operation | m³ | 455850 | 429271 | 521628 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Material Consumption (Paper) | tonnes |
| Packaging Material Consumption (Plastic) | tonnes |
| Packaging Materials Consumed | tonnes |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 26 |
| Turnover Rate of Employees Aged Above 50 | % | 10 |
| Turnover Rate of Employees Aged Below 30 | % | 37 |
| Turnover Rate of Female Employees | % | 23 |
| Turnover Rate of Male Employees | % | 33 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 1091.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Spend on Training and Development per FTE | currency per FTE | None |
| Investment in Environmental Training | currency | None |
| Total Cost of Training | currency | None |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Training Hours (Female) | hours | 37.3 |
| Average Training Hours (General Employees) | hours | 50.7 |
| Average Training Hours (General Staff) | hours | 50.7 |
| Average Training Hours (Male) | hours | 72.8 |
| Average Training Hours (Senior Management) | hours | 42.6 |
| Total Training Hours | hours | 420000 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers in Mainland China | suppliers | 295 |
| Number of Suppliers in Overseas | suppliers | 11 |
| Number of Total Suppliers | suppliers | 306 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Supplier Social Responsibility Training Sessions | attendances | 1300 |
| Number of Suppliers Participated in CSR Training | 1300 | |
| Number of Suppliers Participating in ESG Training | 1300 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | suppliers | 80 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Products and Service Related Complaints | 3000 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of People Participated in Ethical Standards and Anti-corruption Training | 4 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | million RMB | 20 |
| Total In-kind Donations | million RMB | 70 |
| Total Public Welfare Donations | million RMB | 90 |
| Total Social Investment | million RMB | 90 |