Environmental, Social and Governance Report 2024
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Energy indirect GHG emissions (Scope 2) - Purchased electricity | tCO2e | 747.11 | 804.39 | 30 |
| GHG emissions intensity | tCO2e/million revenue | 0.82 | 0.7 | 30 |
| Total GHG emissions (Scope 1 & 2) | tCO2e | 747.11 | 804.39 | 30 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Food waste | kg | 895 | 805.5 | 32 |
| General office waste | kg | 73761.5 | 74610.35 | 32 |
| Non-hazardous waste disposal intensity | kg/million revenue | 93.51 | 75.35 | 32 |
| Other paper waste | kg | 4152 | 4177.6 | 32 |
| Plastic waste | kg | 5321.5 | 5230.15 | 32 |
| Printing paper waste | kg | 827.96 | 1155.4 | 32 |
| Total disposal volume of non-hazardous waste | kg | 84957.96 | 85979 | 32 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| GHG emission intensity reduction target (from 2021 baseline) | % | -5 | 28 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| Office paper disposal intensity reduction (from 2023 baseline) | % | -2 | 28 | |
| Office paper disposal intensity reduction achieved (compared to 2023) | % | -15 | 28 | |
| Waste sorting implementation in all office buildings | Target: implement waste sorting in all office buildings by 2025 or before | 28 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Energy consumption intensity | kWh/million revenue | 1441.98 | 1136.06 | 33 |
| Purchased electricity | kWh | 1310037.28 | 1296362 | 33 |
| Total energy consumption | kWh | 1310037.28 | 1296362 | 33 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Total water consumption | m³ | 6624.94 | 6342 | 34 |
| Water consumption intensity | m³/million revenue | 7.29 | 5.56 | 34 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employee turnover (female) | 132 | 103 | 21 | |
| Number of female full-time employees | 394 | 393 | 20 | |
| Number of full-time employees above 50 years old | 2 | 20 | ||
| Number of full-time employees aged 30-50 years old | 558 | 604 | 20 | |
| Number of full-time employees in Beijing | 868 | 851 | 20 | |
| Number of full-time employees in Changchun | 100 | 113 | 20 | |
| Number of full-time employees in Chengdu | 46 | 43 | 20 | |
| Number of full-time employees in Haikou | 16 | 15 | 20 | |
| Number of full-time employees in Shanghai | 57 | 61 | 20 | |
| Number of full-time employees under 30 years old | 529 | 477 | 20 | |
| Number of male full-time employees | 639 | 690 | 20 | |
| Percentage of female full-time employees | 36.25% | 36.29% | 20 | |
| Percentage of full-time employees above 50 years old | 0.19% | 20 | ||
| Percentage of full-time employees aged 30-50 years old | 51.33% | 55.77% | 20 | |
| Percentage of full-time employees in Beijing | 79.86% | 78.58% | 20 | |
| Percentage of full-time employees in Changchun | 9.20% | 10.43% | 20 | |
| Percentage of full-time employees in Chengdu | 4.23% | 3.97% | 20 | |
| Percentage of full-time employees in Haikou | 1.47% | 1.39% | 20 | |
| Percentage of full-time employees in Shanghai | 5.24% | 5.63% | 20 | |
| Percentage of full-time employees under 30 years old | 48.67% | 44.04% | 20 | |
| Percentage of male full-time employees | 63.75% | 63.71% | 20 | |
| Total number of full-time employees | 1087 | 1083 | 20 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employee turnover (30-50 years old) | 166 | 147 | 21 | |
| Employee turnover (Beijing) | 265 | 261 | 21 | |
| Employee turnover (Changchun) | 13 | 18 | 21 | |
| Employee turnover (Chengdu) | 6 | 14 | 21 | |
| Employee turnover (Guangzhou) | 31 | N/A | 21 | |
| Employee turnover (Haikou) | 11 | 2 | 21 | |
| Employee turnover (Korea) | 3 | N/A | 21 | |
| Employee turnover (Shanghai) | 42 | 21 | 21 | |
| Employee turnover (male) | 239 | 213 | 21 | |
| Employee turnover (total) | 371 | 316 | 21 | |
| Employee turnover (under 30 years old) | 205 | 169 | 21 | |
| Employee turnover rate (30-50 years old) | % | 29.41% | 25.30% | 21 |
| Employee turnover rate (Beijing) | % | 29.20% | 30.37% | 21 |
| Employee turnover rate (Changchun) | % | 15.48% | 16.90% | 21 |
| Employee turnover rate (Chengdu) | % | 13.04% | 31.46% | 21 |
| Employee turnover rate (Guangzhou) | % | 200.00% | N/A | 21 |
| Employee turnover rate (Haikou) | % | 84.62% | 12.90% | 21 |
| Employee turnover rate (Korea) | % | 200.00% | N/A | 21 |
| Employee turnover rate (Shanghai) | % | 63.16% | 35.59% | 21 |
| Employee turnover rate (female) | % | 32.75% | 26.18% | 21 |
| Employee turnover rate (male) | % | 32.69% | 30.80% | 21 |
| Employee turnover rate (total) | % | 32.72% | 29.12% | 21 |
| Employee turnover rate (under 30 years old) | % | 36.00% | 33.60% | 21 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of R&D center staff trained | 555 | 292 | 26 | |
| Number of female employees trained | 257 | 155 | 26 | |
| Number of general management staff trained | 36 | 37 | 26 | |
| Number of male employees trained | 374 | 225 | 26 | |
| Percentage of employees trained | 58.05% | 35.09% | 26 | |
| Total number of employees trained | 631 | 380 | 26 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average training hours per R&D center staff | hours | 1.58 | 0.53 | 26 |
| Average training hours per employee | hours | 1.46 | 0.54 | 26 |
| Average training hours per female employee | hours | 1.51 | 0.61 | 26 |
| Average training hours per general management staff | hours | 1.21 | 0.57 | 26 |
| Average training hours per male employee | hours | 1.44 | 0.5 | 26 |
| Average training hours per publishing and operation center staff | hours | 0.87 | 0.55 | 26 |
| Number of publishing and operation center staff trained | 40 | 51 | 26 | |
| Total training hours | hours | 1589.5 | 583.5 | 26 |
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 | 2023 | 2024 |
|---|---|---|---|
| GHG Emissions from Purchased Electricity | tCO2e | 747.11 | 804.39 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 747.11 | 804.39 |
| Total GHG Emissions | tCO2e | 747.11 | 804.39 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million revenue | 0.82 | 0.7 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Non-Hazardous Waste (Kitchen Waste) | kg | 895 | 805.5 |
| Non-Hazardous Waste (Office Waste) | kg | 73761.5 | 74610.35 |
| Paper Waste | kg | 4979.96 | 5333 |
| Plastic Waste | kg | 5321.5 | 5230.15 |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/million revenue | 93.51 | 75.35 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2025 |
|---|---|---|
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2021 | % | -5 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | -15 |
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 | 2023 | 2024 |
|---|---|---|---|
| Energy Consumption Intensity (By Revenue) | kWh/million revenue | 1441.98 | 1136.06 |
| Purchased Electricity | kWh | 1310037.28 | 1296362 |
| Total Energy Consumption | kWh | 1310037.28 | 1296362 |
| Total Purchased Energy | kWh | 1310037.28 | 1296362 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Water Consumption | m³ | 6624.94 | 6342 |
| Water Consumption Intensity (By Revenue) | m³/million revenue | 7.29 | 5.56 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Employees Aged 30-50 | 558 | 604 | |
| Number of Employees Aged Above 50 | 2 | ||
| Number of Employees Aged Below 30 | 529 | 477 | |
| Number of Female Employees | 394 | 393 | |
| Number of Full-time Employees | 1087 | 1083 | |
| Number of Full-time Employees (Female) | 394 | 393 | |
| Number of Full-time Employees (Male) | 639 | 690 | |
| Number of Male Employees | 639 | 690 | |
| Number of Total Employees | 1087 | 1083 | |
| Percentage of Employees Aged 30-50 | % | 51.33 | 55.77 |
| Percentage of Employees Aged Above 50 | % | 0.19 | |
| Percentage of Employees Aged Below 30 | % | 48.67 | 44.04 |
| Percentage of Female Employees | % | 36.25 | 36.29 |
| Percentage of Male Employees | % | 63.75 | 63.71 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 29.41 | 25.3 |
| Turnover Rate of Employees Aged Below 30 | % | 36 | 33.6 |
| Turnover Rate of Employees in Korea | % | 200 | |
| Turnover Rate of Female Employees | % | 32.75 | 26.18 |
| Turnover Rate of Male Employees | % | 32.69 | 30.8 |
| Turnover Rate of Total Employees | % | 32.72 | 29.12 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Employees Trained | % | 58.05 | 35.09 |
| Percentage of Trained Female Employees | % | 40.73 | 40.79 |
| Percentage of Trained Male Employees | % | 59.27 | 59.21 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 1.51 | 0.61 |
| Average Training Hours (Male) | hours | 1.44 | 0.5 |
| Average Training Hours (Operational Employees) | hours | 0.87 | 0.55 |
| Average Training Hours (R&D Personnel Employees) | hours | 1.58 | 0.53 |
| Average Training Hours (Senior Management) | hours | 1.21 | 0.57 |
| Average Training Hours per Employee | hours | 1.46 | 0.54 |
| Total Training Hours | hours | 1589.5 | 583.5 |