Environmental, Social and Governance Report 2023
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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Energy indirect GHG emissions (Scope 2) - Purchased electricity | tCO2e | 885.28 | 747.11 | 31 |
| GHG emissions intensity | tCO2e/million revenue | 1.52 | 0.82 | 31 |
| Total GHG emissions (Scope 1 & 2) | tCO2e | 885.28 | 747.11 | 31 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Food waste | kg | 1790 | 895 | 33 |
| General office waste | kg | 82143 | 73761.5 | 33 |
| Non-hazardous waste disposal intensity | kg/million revenue | 162.68 | 93.51 | 33 |
| Other paper waste | kg | 4150 | 4152 | 33 |
| Plastic waste | kg | 6387 | 5321.5 | 33 |
| Printing paper waste | kg | 549.79 | 827.96 | 33 |
| Total disposal volume of non-hazardous waste | kg | 95019.79 | 84957.96 | 33 |
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 | 29 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Implementation of waste sorting in all office buildings | In progress | 30 | |
| Office paper disposal intensity reduction target (from 2022 baseline) | % | 2 | 29 |
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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Energy consumption intensity | kWh/million revenue | 2657.61 | 1441.98 | 35 |
| Purchased electricity (Indirect energy consumption) | kWh | 1552311 | 1310037.28 | 35 |
| Total energy consumption | kWh | 1552311 | 1310037.28 | 35 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Total water consumption | m³ | 9207 | 6624.94 | 36 |
| Water consumption intensity | m³/million revenue | 15.76 | 7.29 | 36 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Formulation of management system for energy conservation and environmental protection, and implementation of green office | In progress | 30 | |
| Optimisation of the energy system of the building | In progress | 30 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Number of water saving activities held per year to raise employee awareness | activity | 1 | 30 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of female full-time employees | employees | 412 | 394 | 20 |
| Number of full-time employees aged 30-50 years old | employees | 571 | 558 | 20 |
| Number of full-time employees in Beijing | employees | 947 | 868 | 20 |
| Number of full-time employees in Changchun | employees | 68 | 100 | 20 |
| Number of full-time employees in Chengdu | employees | 46 | 46 | 20 |
| Number of full-time employees in Guangzhou | employees | 31 | 20 | |
| Number of full-time employees in Haikou | employees | 10 | 16 | 20 |
| Number of full-time employees in Korea | employees | 3 | 20 | |
| Number of full-time employees in Shanghai | employees | 76 | 57 | 20 |
| Number of full-time employees under 30 years old | employees | 610 | 529 | 20 |
| Number of male full-time employees | employees | 769 | 693 | 20 |
| Percentage of female full-time employees | percent | 34.89% | 36.25% | 20 |
| Percentage of full-time employees aged 30-50 years old | percent | 48.35% | 51.33% | 20 |
| Percentage of full-time employees in Beijing | percent | 80.19% | 79.86% | 20 |
| Percentage of full-time employees in Changchun | percent | 5.76% | 9.20% | 20 |
| Percentage of full-time employees in Chengdu | percent | 3.90% | 4.23% | 20 |
| Percentage of full-time employees in Guangzhou | percent | 2.62% | 20 | |
| Percentage of full-time employees in Haikou | percent | 0.85% | 1.47% | 20 |
| Percentage of full-time employees in Korea | percent | 0.25% | 20 | |
| Percentage of full-time employees in Shanghai | percent | 6.43% | 5.24% | 20 |
| Percentage of full-time employees under 30 years old | percent | 51.65% | 48.67% | 20 |
| Percentage of male full-time employees | percent | 65.11% | 63.75% | 20 |
| Total number of full-time employees | employees | 1181 | 1087 | 20 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate (30-50 years old) | percent | 44.59% | 29.41% | 21 |
| Employee turnover rate (Beijing) | percent | 49.62% | 29.20% | 21 |
| Employee turnover rate (Changchun) | percent | 50.83% | 15.48% | 21 |
| Employee turnover rate (Chengdu) | percent | 57.14% | 13.04% | 21 |
| Employee turnover rate (Guangzhou) | percent | 130.56% | 200.00% | 21 |
| Employee turnover rate (Haikou) | percent | 70.00% | 84.62% | 21 |
| Employee turnover rate (Korea) | percent | 133.33% | 200.00% | 21 |
| Employee turnover rate (Shanghai) | percent | 96.33% | 63.16% | 21 |
| Employee turnover rate (above 50 years old) | percent | 200.00% | 21 | |
| Employee turnover rate (female) | percent | 49.66% | 32.75% | 21 |
| Employee turnover rate (male) | percent | 58.65% | 32.69% | 21 |
| Employee turnover rate (total) | percent | 55.66% | 32.72% | 21 |
| Employee turnover rate (under 30 years old) | percent | 64.66% | 36.00% | 21 |
| Number of employees left (30-50 years old) | 268 | 166 | 21 | |
| Number of employees left (Beijing) | 529 | 265 | 21 | |
| Number of employees left (Changchun) | 46 | 13 | 21 | |
| Number of employees left (Chengdu) | 30 | 6 | 21 | |
| Number of employees left (Guangzhou) | 47 | 31 | 21 | |
| Number of employees left (Haikou) | 7 | 11 | 21 | |
| Number of employees left (Korea) | 4 | 3 | 21 | |
| Number of employees left (Shanghai) | 79 | 42 | 21 | |
| Number of employees left (above 50 years old) | 1 | 21 | ||
| Number of employees left (female) | 220 | 132 | 21 | |
| Number of employees left (male) | 522 | 239 | 21 | |
| Number of employees left (total) | 742 | 371 | 21 | |
| Number of employees left (under 30 years old) | 473 | 205 | 21 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of R&D centre staff trained | 262 | 555 | 27 | |
| Number of female employees trained | 109 | 257 | 27 | |
| Number of general management staff trained | 7 | 36 | 27 | |
| Number of male employees trained | 189 | 374 | 27 | |
| Percentage of employees trained | percent | 25.23 | 58.05 | 27 |
| Total number of employees trained | 298 | 631 | 27 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Average training hours per R&D centre staff | hours | 1.3 | 1.58 | 27 |
| Average training hours per employee | hours | 1.14 | 1.46 | 27 |
| Average training hours per female employee | hours | 1.17 | 1.51 | 27 |
| Average training hours per general management staff | hours | 0.3 | 1.21 | 27 |
| Average training hours per male employee | hours | 1.13 | 1.44 | 27 |
| Average training hours per publishing and operation centre staff | hours | 0.77 | 0.87 | 27 |
| Number of publishing and operation centre staff trained | 29 | 40 | 27 | |
| Total training hours | hours | 1349 | 1589.5 | 27 |
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 | 2022 | 2023 |
|---|---|---|---|
| GHG Emissions from Purchased Electricity | tCO2e | 885.28 | 747.11 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 885.28 | 747.11 |
| Total GHG Emissions | tCO2e | 885.28 | 747.11 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million revenue | 1.52 | 0.82 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Non-Hazardous Waste (Kitchen Waste) | kg | 1790 | 895 |
| Non-Hazardous Waste (Office Waste) | kg | 82143 | 73761.5 |
| Non-Hazardous Waste Disposed | kg | 95019.79 | 84957.96 |
| Paper Waste | kg | 4699.79 | 4979.96 |
| Plastic Waste | kg | 6387 | 5321.5 |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/million revenue | 162.68 | 93.51 |
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 | 2023 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 2 |
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 | 2022 | 2023 |
|---|---|---|---|
| Energy Consumption Intensity (By Revenue) | kWh/million revenue | 2657.61 | 1441.98 |
| Purchased Electricity | kWh | 1552311 | 1310037.28 |
| Total Energy Consumption | kWh | 1552311 | 1310037.28 |
| Total Indirect Energy Consumption | kWh | 1552311 | 1310037.28 |
| Total Purchased Energy | kWh | 1552311 | 1310037.28 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Water Consumption | m³ | 9207 | 6624.94 |
| Water Consumption Intensity (By Revenue) | m³/million revenue | 15.76 | 7.29 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Employees Aged 30-50 | employees | 571 | 558 |
| Number of Employees Aged Below 30 | employees | 610 | 529 |
| Number of Employees in Beijing | employees | 947 | 868 |
| Number of Employees in Changchun | employees | 68 | 100 |
| Number of Employees in Chengdu | employees | 46 | 46 |
| Number of Employees in Guangzhou | employees | 31 | |
| Number of Employees in Haikou | employees | 10 | 16 |
| Number of Employees in Korea | employees | 3 | |
| Number of Employees in Shanghai | employees | 76 | 57 |
| Number of Female Employees | employees | 412 | 394 |
| Number of Full-time Employees | employees | 1181 | 1087 |
| Number of Full-time Employees (Female) | employees | 412 | 394 |
| Number of Full-time Employees (Male) | employees | 769 | 693 |
| Number of Male Employees | employees | 769 | 693 |
| Number of Total Employees | employees | 1181 | 1087 |
| Percentage of Employees Aged 30-50 | percent | 48.35 | 51.33 |
| Percentage of Employees Aged Below 30 | percent | 51.65 | 48.67 |
| Percentage of Employees in Beijing | percent | 80.19 | 79.86 |
| Percentage of Employees in Changchun | percent | 5.76 | 9.2 |
| Percentage of Employees in Chengdu | percent | 3.9 | 4.23 |
| Percentage of Employees in Guangzhou | percent | 2.62 | |
| Percentage of Employees in Haikou | percent | 0.85 | 1.47 |
| Percentage of Employees in Korea | percent | 0.25 | |
| Percentage of Employees in Shanghai | percent | 6.43 | 5.24 |
| Percentage of Female Employees | percent | 34.89 | 36.25 |
| Percentage of Male Employees | percent | 65.11 | 63.75 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | percent | 44.59 | 29.41 |
| Turnover Rate of Employees Aged Above 50 | percent | 200 | |
| Turnover Rate of Employees Aged Below 30 | percent | 64.66 | 36 |
| Turnover Rate of Employees in Korea | percent | 133.33 | 200 |
| Turnover Rate of Female Employees | percent | 49.66 | 32.75 |
| Turnover Rate of Male Employees | percent | 58.65 | 32.69 |
| Turnover Rate of Total Employees | percent | 55.66 | 32.72 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Percentage of Employees Trained | percent | 25.23 | 58.05 |
| Percentage of Trained Female Employees | percent | 36.58 | 40.73 |
| Percentage of Trained Male Employees | percent | 63.42 | 59.27 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 1.17 | 1.51 |
| Average Training Hours (General Management) | hours | 0.3 | 1.21 |
| Average Training Hours (Male) | hours | 1.13 | 1.44 |
| Average Training Hours (Operational Employees) | hours | 0.77 | 0.87 |
| Average Training Hours (R&D Personnel Employees) | hours | 1.3 | 1.58 |
| Average Training Hours per Employee | hours | 1.14 | 1.46 |
| Total Training Hours | hours | 1349 | 1589.5 |