ESG REPORT 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Nitrogen oxide emissions from Group's vehicles | grams | 393 | 690 | 16 |
| Particulate matter emissions from Group's vehicles | grams | 29 | 51 | 16 |
| Sulfur oxide emissions from Group's vehicles | grams | 46 | 61 | 16 |
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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Carbon emissions from electricity consumption in leased offices | tons | 1161 | 789 | 16 | |
| Carbon emissions from fuel usage | tons | 7.1 | 9.3 | 17 | |
| Per capita carbon emissions from fuel consumption | tons | 0.0057 | 17 | ||
| Per capita electricity consumption carbon emissions | tons | 0.86 | 0.54 | 16 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of waste batteries disposed | 15 | 17 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of discarded electronic products disposed | 95 | 17 |
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 |
|---|---|---|---|---|
| Electricity consumption in leased offices (24 cities, Mainland China and Hong Kong) | watt-hour | 1383000000 | 16 | |
| Electricity consumption per unit of office area | MWh/m² | 0.086 | 0.089 | 20 |
| Fuel consumption | liters | 3151 | 4146 | 17 |
| Per capita fuel consumption | liters | 2.32 | 2.55 | 17 |
| Per capita fuel consumption (vehicles) | liters | 2.32 | 2.55 | 18 |
| Total fuel consumption (vehicles for senior executives' travel and reception) | liters | 3151 | 4146 | 18 |
| Year-on-year increase in per capita fuel consumption (vehicles) | 9.9% | 18 | ||
| Year-on-year increase in total fuel consumption (vehicles) | 31.6% | 18 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Per capita water consumption | tons | 2.38 | 19 | |
| Water consumption in Beijing, Nanjing, Fuzhou, Xi'an and Shenyang offices | tons | 4338 | 3860 | 19 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Paper usage year-on-year change | % | -6.0 | 19 |
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 |
|---|---|---|---|
| Per capita water consumption year-on-year change | % | -25.60 | 19 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Paper usage | million pieces | 0.84 | 0.79 | 19 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Non-compliance issues related to environmental issues | None | 15 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Certificate of Vice President of China Electronic Chamber of Commerce Digital Display Professional Committee | Issued | 10 | ||
| Certificate of Vice-Chairman Unit by Computing Power Industry Professional Committee of China Electronic Chamber of Commerce | Issued | 10 | ||
| Employees by age group: 30-40 | employees, percent | 741 | 22 | |
| Employees by age group: 40-50 | employees, percent | 310 | 22 | |
| Employees by age group: Aged over 50 | employees, percent | 34 | 22 | |
| Employees by age group: Under the age of 30 | employees, percent | 25.99 | 22 | |
| Employees by employment type: Full-time employee | employees, percent | 1465 | 22 | |
| Employees by employment type: Part-time employees | employees, percent | 0.07 | 22 | |
| Employees by gender: Female | employees, percent | 564 | 22 | |
| Employees by gender: Male | employees, percent | 61.53 | 22 | |
| Employees by geographical region: China (including Hong Kong) | employees, percent | 98.98 | 22 | |
| Employees by geographical region: Indonesia | employees, percent | 0.82 | 22 | |
| Employees by geographical region: Philippine | employees, percent | 3 | 22 | |
| Total employees | employees | 1357 | 1466 | 22 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| employee turnover rate (China including Hong Kong) | % | 25.12 | 23 | |
| employee turnover rate (Indonesia) | % | 85.71 | 23 | |
| employee turnover rate (age 30-40) | % | 22.47 | 23 | |
| employee turnover rate (age 40-50) | % | 18.4 | 23 | |
| employee turnover rate (aged over 50) | % | 10.17 | 23 | |
| employee turnover rate (female) | % | 19.13 | 23 | |
| employee turnover rate (male) | % | 29.66 | 23 | |
| employee turnover rate (overall) | % | 29.6 | 25.54 | 23 |
| employee turnover rate (under the age of 30) | % | 38.22 | 23 | |
| number of employee demission (China including Hong Kong) | 350 | 23 | ||
| number of employee demission (Indonesia) | 9 | 23 | ||
| number of employee demission (age 30-40) | 161 | 23 | ||
| number of employee demission (age 40-50) | 53 | 23 | ||
| number of employee demission (aged over 50) | 3 | 23 | ||
| number of employee demission (female) | 105 | 23 | ||
| number of employee demission (male) | 254 | 23 | ||
| number of employee demission (under the age of 30) | 142 | 23 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| capacity of new training classroom | participants | 200 | 26 |
| increase in number of training sessions over previous year | % | 18 | 26 |
| number of training for female employees | 13160 | 26 | |
| number of training for male employees | 7067 | 26 | |
| number of training sessions conducted | 859 | 26 | |
| percentage of training for female employees | % | 65 | 26 |
| percentage of training for male employees | % | 35 | 26 |
| training rate of the Group's employees | % | 100 | 26 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| average training hours per employee for general employees | hours | 15.4 | 26 |
| average training hours per employee for senior management and middle management | hours | 18.3 | 26 |
| average training time of female employees | hours | 25.58 | 26 |
| average training time of male employees | hours | 9.98 | 26 |
| average training time per person (male and female employees) | hours | 16 | 26 |
| increase in average training time per person compared with 2022 | % | 62 | 26 |
| number of training attendances for general staff | 15886 | 26 | |
| number of training attendances for senior and middle management | 4341 | 26 | |
| percentage of total training attendances for general staff | % | 79 | 26 |
| percentage of total training attendances for senior and middle management | % | 21 | 26 |
| total hours of training and learning | hours | 23396.8 | 26 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Top 10 Digital Ecology Value-Added Distributors | Awarded | 10 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Gross margin | % | 3.5 | 9 |
| Gross margin change | percentage point | 0.18 | 9 |
| Group income change | % | -3.05 | 9 |
| Profit attributable to shareholders change | % | -1.44 | 9 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Top 10 Service Provider of Digital Ecology Meta-Universe | Awarded | 10 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Most Influential Integrity Demonstration Enterprise in Sichuan Province | Awarded | 10 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Sichuan Model Enterprise of Integrity | Awarded | 10 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Duration of single anti-corruption training | minutes | 60 | 15 |
| Number of special anti-corruption management trainings conducted | 3 | 15 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Basic earnings per share | cents HK$ | 14.03 | 9 | |
| Basic earnings per share change | cents HK$ | -0.20 | 9 | |
| China Top 50 VR Enterprises by China Electronic Information Industry Development Research Institute (CEIDRI) | Awarded | 10 | ||
| Digital Ecology Cloud Computing Service Excellence Award | Awarded | 10 | ||
| Digital Ecology Outstanding Solution (Intelligent Education) | Awarded | 10 | ||
| Digital Transformation Driving Force Award by CFS 12th Financial Summit | Awarded | 10 | ||
| ESG Exemplary Practice Award from the 12th CFS Financial Summit | Awarded | 10 | ||
| Influential Brand (Industry) Award presented by the 12th CFS Financial Summit | Awarded | 10 | ||
| National E-Commerce Demonstration Enterprise | Awarded | 10 | ||
| Outstanding Award in the Western Region of the 2023 'Challenger Cup' Metaverse Developer Competition | Awarded | 10 | ||
| Outstanding Contribution Enterprise in Tax Payment for Building 'Four Strong Districts' by Mianyang Fucheng District Committee | Awarded | 10 | ||
| Outstanding Digital Ecology Solution (Intelligent Manufacturing) | Awarded | 10 | ||
| Outstanding Service Enterprise in Digital Transformation | Awarded | 10 | ||
| Pioneer Award at the Global Digital Trade Expo | Awarded | 10 | ||
| Sichuan E-Commerce Demonstration Enterprise | Awarded | 10 | ||
| Top 100 Service Enterprises and Top 50 Digital Economy Enterprises in Sichuan Province | Awarded | 10 | ||
| Vice-chairman unit by the cross-border e-commerce working committee of the China Electronic Chamber of Commerce | Awarded | 10 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | grams | 29 | 51 |
| NOₓ Emissions | grams | 393 | 690 |
| SOₓ Emissions | grams | 46 | 61 |
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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 7.1 | 9.3 | |
| GHG Emissions from Purchased Electricity | tons | 1161 | 789 | |
| Scope 1 GHG Emissions Intensity (By Employee) | tons | 0.0057 | ||
| Total GHG Emissions Intensity (By Employee) | tons | 0.86 | 0.54 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Hazardous Waste (Used Batteries) | 15 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Non-Hazardous Waste (Electronic Waste) | 95 |
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 |
|---|---|---|---|
| Purchased Electricity | kWh | 1383000 | |
| Purchased Electricity Intensity (By Area) | MWh/m² | 0.086 | 0.089 |
| Total Non-Renewable Fuel Consumption | liters | 3151 | 4146 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Water Consumption Intensity (By Revenue) | tons | 2.38 | |
| Water Consumption in Office | tons | 4338 | 3860 |
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.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % | -25.6 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Packaging Material Consumption (Paper) | million pieces | 0.84 | 0.79 |
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 | 1051 | |
| Number of Employees Aged Above 50 | employees | 34 | |
| Number of Employees Aged Below 30 | employees | 381 | |
| Number of Employees in Asia (Excluding China) | employees | 15 | |
| Number of Employees in Hong Kong and Mainland China | employees | 1451 | |
| Number of Employees in Indonesia | employees | 12 | |
| Number of Female Employees | employees | 564 | |
| Number of Full-time Employees | employees | 1465 | |
| Number of Male Employees | employees | 902 | |
| Number of Part-time Employees | employees | 1 | |
| Number of Total Employees | employees | 1357 | 1466 |
| Percentage of Employees Aged 30-50 | percent | 71.7 | |
| Percentage of Employees Aged Above 50 | percent | 2.32 | |
| Percentage of Employees Aged Below 30 | percent | 25.99 | |
| Percentage of Employees in Indonesia | percent | 0.82 | |
| Percentage of Female Employees | percent | 38.47 | |
| Percentage of Full-time Employees | percent | 99.93 | |
| Percentage of Male Employees | percent | 61.53 | |
| Percentage of Part-time Employees | percent | 0.07 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 20.435 | |
| Turnover Rate of Employees Aged Above 50 | % | 10.17 | |
| Turnover Rate of Employees Aged Below 30 | % | 38.22 | |
| Turnover Rate of Employees in Hong Kong and Mainland China | % | 25.12 | |
| Turnover Rate of Employees in Indonesia | % | 85.71 | |
| Turnover Rate of Female Employees | % | 19.13 | |
| Turnover Rate of Male Employees | % | 29.66 | |
| Turnover Rate of Total Employees | % | 29.6 | 25.54 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 65 |
| Percentage of Trained Male Employees | % | 35 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (Female) | hours | 25.58 |
| Average Training Hours (General Employees) | hours | 15.4 |
| Average Training Hours (General Staff) | hours | 15.4 |
| Average Training Hours (Male) | hours | 9.98 |
| Average Training Hours (Middle Management) | hours | 18.3 |
| Average Training Hours (Senior Management) | hours | 18.3 |
| Average Training Hours per Employee | hours | 16 |
| Total Training Hours | hours | 23396.8 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Anti-corruption Training Session | 3 | |
| Total Hours of Anti-corruption Training | minutes | 60 |