Environmental, Social and Governance (ESG) Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| CO emission | kg | 119.76 | 53 |
| NOx emission | kg | 6.03 | 53 |
| PM10 emission | kg | 0.75 | 53 |
| PM2.5 emission | kg | 0.72 | 53 |
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 | Report Pages |
|---|---|---|---|
| Electricity emissions (scope 2) | Tonnes of carbon dioxide | 5580.93 | 45 |
| SO2 emission | kg | 0.35 | 53 |
| Total GHG emission density | Tonnes of carbon dioxide equivalent/revenue of RMB10000 | 7.67 | 45 |
| Total GHG emissions | Tonnes of carbon dioxide equivalent | 6055.2 | 45 |
| Vehicle emissions and natural gas emissions (scope 1) | Tonnes of carbon dioxide equivalent | 474.27 | 45 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Intensity of hazardous wastes produced | kg/revenue of RMB10000 | 0.003 | 53 |
| Total hazardous wastes produced | tonnes | 2.375 | 53 |
| Waste battery | tonnes | 0.029 | 53 |
| Waste fluorescent tube | tonnes | 2.313 | 53 |
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 |
|---|---|---|---|
| Intensity of non-hazardous waste emission | kg/revenue of RMB10000 | 0.17 | 53 |
| Kitchen wastes | tonnes | 59.2 | 53 |
| Office domestic wastes | tonnes | 73.7 | 53 |
| Office waste produced drop compared with 2022 | % | 31% | 9 |
| Paper consumption | kg | 7078 | 46 |
| Paper consumption intensity | kg/revenue of RMB10000 | 0.009 | 46 |
| Total non-hazardous waste emissions | tonnes | 133 | 53 |
| Waste battery recycled | tonnes | 0.03 | 53 |
| Waste toner cartridge | tonnes | 0.062 | 53 |
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 |
|---|---|---|---|
| Food waste produced drop compared with 2022 | % | 27% | 9 |
| Waste fluorescent tube recycled | tonnes | 2.214 | 53 |
| Waste toner cartridge recycled | tonnes | 0.058 | 53 |
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 | Report Pages |
|---|---|---|---|
| Direct energy consumption intensity (Direct Energy) | kWh/revenue of RMB10000 | 2.94 | 46 |
| Electricity consumption intensity (Indirect Energy) | kWh/revenue of RMB10000 | 12.4 | 46 |
| Total clean energy usage (distributed photovoltaic generation) increase compared with 2022 | % | 39.6% | 9 |
| Total direct energy consumption (Direct Energy) | '000 kWh | 2320 | 46 |
| Total electricity consumption (Indirect Energy) | '000 kWh | 9786 | 46 |
| Total electricity consumption of Beijing AsiaInfo Plaza saved compared with 2022 | % | 8.7% | 9 |
| Total fuel consumption (vehicle) (Direct Energy) | L | 23218 | 46 |
| Total natural gas consumption (Direct Energy) | m³ | 194599 | 46 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Total water consumption | tonne | 49820 | 46 |
| Total water consumption intensity | tonne/revenue of RMB10000 | 0.0631 | 46 |
| Wastewater discharge drop compared with 2022 | % | 16% | 9 |
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 |
|---|---|---|---|
| 5G + Smart Thermal Power Digital Transformation Practice - second prize of Second Dingxin Cup Digital Transformation and Application Competition | second prize | 32 | |
| 5G Private Network Boosts Enterprise Digital Transformation Solution - Digital Innovation Practice Award from China’s Digital and Software Service Industry | Digital Innovation Practice Award | 32 | |
| 5G Private Network Product - Editor’s Choice Award at MWC Shanghai Exhibition by Communications Industry Report | Editor’s Choice Award | 32 | |
| 700MHz Band Wind Power 5G Private Network Project with Full Core Networks Sunk into Local Areas - Golden Purple Bamboo Award Top 10 Benchmark Cases of 5G + Lighthouse Applications | Top 10 | 32 | |
| Innovative Solutions for Computing Power Grid Trading Model - Outstanding Cases of Leading Computing Cloud Services | Outstanding Cases | 32 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of female directors | 2 | 9 | |
| Percentage of female executives | % | 42% | 9 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Employee turnover rate by age group: 31–50 years old | % | 9.76% | 56 |
| Employee turnover rate by age group: <31 years old | % | 16.81% | 56 |
| Employee turnover rate by age group: >50 years old | % | 10.37% | 56 |
| Employee turnover rate by gender: Female | % | 11.30% | 56 |
| Employee turnover rate by gender: Male | % | 12.03% | 56 |
| Employee turnover rate by geographic area: East China | % | 11.10% | 56 |
| Employee turnover rate by geographic area: North China | % | 13.79% | 56 |
| Employee turnover rate by geographic area: Northeast China | % | 5.83% | 56 |
| Employee turnover rate by geographic area: Others | % | 11.67% | 56 |
| Employee turnover rate by geographic area: South China | % | 10.56% | 56 |
| Employee turnover rate by geographic area: Southwest China | % | 13.22% | 56 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Decrease in lost working days due to work injuries compared with previous year | % | -56.8 | 57 | |
| Number of lost working days due to work injuries | employee/day | 250 | 108 | 57 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| ISO 45001 certification for occupational health and safety management system | obtained | 57 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Research on Off-peak Scheduling of Computing Network Resources - Outstanding Cases of Leading Computing Cloud Services | Outstanding Cases | 32 | |
| Research on Off-peak Scheduling of Computing Network Resources - Top 10 Benchmark in Computational Power Application Case List by Communication World | Top 10 | 32 | |
| Total number of trainees increase compared with 2022 | % | 10.9% | 9 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Percentage of Revenue for R&D | % | 13.88% | 9 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Participation in International and Domestic Standards | 85 | 9 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Expenditure on R&D | billion RMB | 1.095 | 9 |
| Top 50 Data Middleware Platforms | Top 50 | 32 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2022-2023 | 2023 | Report Pages |
|---|---|---|---|---|---|
| AISG virtual digital human solution of intelligent customer service (AISWare AI GC) - Second in Top 100 Outstanding Cases of Artificial Intelligence | 2 | 32 | |||
| AISWare AIMap GIS Platform - Most Innovative Product | Most Innovative Product | 32 | |||
| AISWare PEC Edge, privacy computing all-in-one machine - 2023 Golden Purple Bamboo Award for Excellent Product Technical Solution | Excellent Product Technical Solution | 32 | |||
| AISWare PaaS Platform Project - Third Prize in Scientific and Technological Advancements from China Institute of Communications | Third Prize | 32 | |||
| Blockchain Team - Second Prize in Track One (Original Vulnerability Demonstration and Reproduction Competition) and Third Prize in Track Three (Blockchain Security Solution Capture the Flag Competition) | Second Prize, Third Prize | 32 | |||
| Data Exploration and Analysis Platform - 2022-2023 Outstanding Innovative Software Products List | Outstanding Innovative Software Products | 32 | |||
| Database - 2023 Outstanding Contribution Award from the Innovation and Creativity Committee | Outstanding Contribution Award | 32 | |||
| Database - 2023 World Computing Congress Special Exhibition Outstanding Achievement Award | Outstanding Achievement Award | 32 | |||
| Database - China’s Leading Brand in Data Innovation | Leading Brand | 32 | |||
| Number of new patents | 49 | 9 | |||
| Number of new software copyrights | 167 | 9 | |||
| RPA communication business process management platform - 2023 China’s most innovative AI products/solutions TOP30 | TOP30 | 32 | |||
| Selected as a Benchmark and Excellent Case in Two Database Projects | 2 | 32 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Trusted Operation Transaction Platform for Computing Networks - 2023 Future Star Award from Trust Technology | Future Star Award | 32 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Number of internal control issues discovered | 16 | 15 | 10 | 21 | |
| Number of risk control points | 439 | 445 | 473 | 21 | |
| Number of systems issued by the Internal Audit Department | 6 | 6 | 10 | 21 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Professional ethics training coverage | % | 100% | 9 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Academic thesis published | 28 | 9 | |||
| Collaboration with Tsinghua University on Computing Power Endogenous Network - First Prize for 2023 Sci-Tech Progress by Chinese Association of Automation | First Prize | 32 | |||
| Digital Transformation of Metaverse Business Hall Based on Digital Native - third prize on three tracks (Digital Native New Entity, Business Integration and Innovation, Information Technology Application and Innovation) | third prize | 32 | |||
| Liangjiang Collaborative Innovation Zone Smart Park (Phase II) - first prize of Second Dingxin Cup Digital Transformation and Application Competition | first prize | 32 | |||
| Metaverse Business Hall/Intelligent Operation and Maintenance - TM Forum DTWA 2023 catalyst project award | project award | 32 | |||
| Mobile big data public service platform and its application - third prize for science and technology progress of CIE Science and Technology Award | third prize | 32 | |||
| Number of project teams visited | 29 | 26 | 32 | 21 | |
| Shanghai Big Data Asset Platform - first among Five Best Application Cases of Big Data Intelligence | 1 | 32 | |||
| Top 100 Digital Technology Solution Providers | Top 100 | 32 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| NOₓ Emissions | kg | 6.03 |
| PM10 Emissions | kg | 0.75 |
| PM2.5 Emissions | kg | 0.72 |
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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes of carbon dioxide equivalent | 474.27 |
| Indirect Energy Emissions (Scope 2) | Tonnes of carbon dioxide | 5580.93 |
| Total GHG Emissions | Tonnes of carbon dioxide equivalent | 6055.2 |
| Total GHG Emissions Intensity (By Revenue) | Tonnes of carbon dioxide equivalent/revenue of RMB10000 | 7.67 |
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) | tonnes | 0.029 |
| Total Hazardous Waste | tonnes | 2.375 |
| Total Hazardous Waste Intensity (By Revenue) | kg/revenue of RMB10000 | 0.003 |
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 (Kitchen Waste) | tonnes | 59.2 |
| Non-Hazardous Waste (Office Waste) | tonnes | 73.7 |
| Paper Waste | tonnes | 7.078 |
| Total Non-Hazardous Waste Disposed | tonnes | 133 |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/revenue of RMB10000 | 0.17 |
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 | % | 27 |
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 |
|---|---|---|
| Direct Energy Intensity (By Revenue) | kWh/revenue of RMB10000 | 2.94 |
| Indirect Energy Intensity (By Revenue) | kWh/revenue of RMB10000 | 12.4 |
| Natural Gas Consumption | m³ | 194599 |
| Total Direct Energy Consumption | '000 kWh | 2320 |
| Total Indirect Energy Consumption | '000 kWh | 9786 |
| Total Non-Renewable Fuel Consumption | L | 23218 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Water Consumption | tonne | 49820 |
| Water Consumption Intensity (By Revenue) | tonne/revenue of RMB10000 | 0.0631 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Employees Aged 30-50 | 9309 | |
| Number of Employees Aged Above 50 | 241 | |
| Number of Employees in East China | 2747 | |
| Number of Employees in North China | 2575 | |
| Number of Employees in Northeast China | 240 | |
| Number of Employees in South China | 6719 | |
| Number of Employees in Southwest China | 605 | |
| Number of Female Employees | 3222 | |
| Number of Full-time Employees | 13577 | |
| Number of Interns | 2560 | |
| Number of Male Employees | 10355 | |
| Number of Total Employees | 13577 | |
| Percentage of Female Employees | % | 23.73 |
| Percentage of Full-time Employees | % | 100 |
| Percentage of Interns | % | 15.86 |
| Percentage of Male Employees | % | 76.27 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 9.76 |
| Turnover Rate of Employees Aged Above 50 | % | 10.37 |
| Turnover Rate of Employees Aged Below 30 | % | 16.81 |
| Turnover Rate of Employees in East China | % | 11.1 |
| Turnover Rate of Employees in North China | % | 13.79 |
| Turnover Rate of Employees in Northeast China | % | 5.83 |
| Turnover Rate of Employees in South China | % | 10.56 |
| Turnover Rate of Employees in Southwest China | % | 13.22 |
| Turnover Rate of Female Employees | % | 11.3 |
| Turnover Rate of Male Employees | % | 12.03 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | employee/day | 250 | 108 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Trained Female Employees | % | 22.63 |
| Percentage of Trained Male Employees | % | 77.37 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hours |
| Average Training Hours (Male) | hours |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | 216 | |
| Number of New Patent Applications | 49 | |
| Number of Patents Granted | 49 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 |
| Coverage of Anti-corruption Training for Employees | % | 100 |