2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
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 |
---|---|---|---|---|
Greenhouse gas emission intensity (Scope 12) | tCO2e/m² | 0.05 | 0.06 | 54 |
Greenhouse gas emission intensity (Scope 2) | tCO₂e/m² | 0.06 | 37 | |
Greenhouse gas emissions (Scope 3) - Business travel | tCO₂e | 5340 | 37 | |
Greenhouse gas emissions (Scope 3) - Employee commuting | tCO₂e | 1178 | 37 | |
Greenhouse gas emissions (Scope 3) - Purchased goods and services | tCO₂e | 92020 | 37 | |
Total greenhouse gas emissions (Scope 12) | tCO2e | 7234 | 6637 | 54 |
Total greenhouse gas emissions (Scope 2) | tCO₂e | 6637 | 37 | |
Total greenhouse gas emissions (Scope 3) | tCO2e | 65883 | 98538 | 54 |
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 |
---|---|---|---|---|
Comprehensive energy consumption | tce | 1560 | 1520 | 37, 54 |
Comprehensive energy consumption density | tce/m² | 0.01 | 37 | |
Comprehensive energy consumption intensity | tce/m² | 0.01 | 0.01 | 54 |
Purchased electricity | kWh | 12693101 | 12366975 | 37, 54 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Water consumption | tonne | 65417 | 37 | |
Water consumption intensity | tonne/m² | 0.55 | 37 | |
Water use | Tonnes | 92395 | 65417 | 54 |
Water use intensity | tonne/m² | 0.69 | 0.55 | 54 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Optimized PUE in leased data centers, electricity saved | mn+ kWh | 7.45 | 4 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Packaging materials use intensity | tonne/RMB10000 GMV | 0.02 | 0.01 | 37, 54 |
Total packaging materials use | Tonnes, tonne | 3275 | 3125 | 37, 54 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Industry technology sharing sessions engaged | sessions | 60+ | 4 |
Video views related to green, low carbon and waste sorting | bn | 25.3 | 4 |
Year-over-year growth in green, low carbon and waste sorting video views | % | 100% | 4 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of employees – by age (Gen Z+) | Person | 8548 | 7864 | 54 |
Number of employees – by age (Non-gen Z+) | Person | 253 | 224 | 54 |
Number of employees – by function (Content audit) | Person | 2868 | 2247 | 54 |
Number of employees – by function (Management, sales, finance and administration) | Person | 529 | 563 | 54 |
Number of employees – by function (Operations) | Person | 1633 | 1646 | 54 |
Number of employees – by function (Product & technology) | Person | 3751 | 3632 | 54 |
Number of employees – by gender (Female) | Person | 3806 | 3572 | 54 |
Number of employees – by gender (Male) | Person | 4995 | 4516 | 54 |
Number of employees – by region (Chengdu) | Person | 818 | 645 | 54 |
Number of employees – by region (Chinese Mainland excluding mentioned regions, Hong Kong SAR, Macau SAR, Taiwan Region and overseas) | Person | 1249 | 956 | 54 |
Number of employees – by region (Nanjing) | Person | 665 | 445 | 54 |
Number of employees – by region (Shanghai) | Person | 5598 | 5635 | 54 |
Number of employees – by region (Wuhan) | Person | 471 | 407 | 54 |
Number of employees – by type (Full time) | Person | 8801 | 8088 | 54 |
Official members | mn | 258 | 4 | |
Percentage of full-time employees covered by employee benefit system | % | 100% | 4 | |
Year-over-year growth in official members | % | 12% | 4 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Employee turnover rate (Overall turnover rate) | % | 22 | 17 | 54 |
Employee turnover rate – by age (Gen Z+) | % | 23 | 17 | 55 |
Employee turnover rate – by age (Non-gen Z+) | % | 6 | 10 | 55 |
Employee turnover rate – by gender (Female) | % | 22 | 16 | 54 |
Employee turnover rate – by gender (Male) | % | 22 | 17 | 54 |
Employee turnover rate – by region (Chinese Mainland) | % | 22 | 17 | 55 |
Employee turnover rate – by region (Hong Kong SAR, Macao SAR, Taiwan Region and Overseas) | % | 39 | 25 | 55 |
Lost days due to work injury.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of workdays lost due to work-related injuries | Days | 98 | 425 | 55 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Percentage of trained employees among genders (Female) | % | 93 | 99 | 55 |
Percentage of trained employees among genders (Male) | % | 92 | 96 | 55 |
Percentage of trained employees among position levels (General staff) | % | 93 | 98 | 55 |
Percentage of trained employees among position levels (Middle management) | % | 72 | 80 | 55 |
Percentage of trained employees among position levels (Senior management) | % | 100 | 100 | 55 |
Percentage of trained employees by gender (Female) | % | 43 | 50 | 55 |
Percentage of trained employees by gender (Male) | % | 57 | 50 | 55 |
Percentage of trained employees by position level (General staff) | % | 97 | 98 | 55 |
Percentage of trained employees by position level (Middle management) | % | 2 | 1 | 55 |
Percentage of trained employees by position level (Senior management) | % | 1 | 1 | 55 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Average hours of training per employee | hours | 35 | 4 | |
Average minutes spent per DAU per day | minutes | 102 | 4 | |
Average training hours per employee among genders (Female) | Hours | 31 | 40 | 55 |
Average training hours per employee among genders (Male) | Hours | 34 | 31 | 55 |
Average training hours per employee among position levels (General staff) | Hours | 32 | 36 | 55 |
Average training hours per employee among position levels (Middle management) | Hours | 37 | 16 | 55 |
Average training hours per employee among position levels (Senior management) | Hours | 43 | 36 | 55 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of suppliers by region (Chinese Mainland) | Number | 10835 | 7348 | 55 |
Number of suppliers by region (Hong Kong SAR, Macao SAR, Taiwan Region and overseas) | Number | 724 | 1052 | 55 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Average daily video views | 5.1 bn+ | 4 | ||
Chinese anime titles aired | titles | 640+ | 4 | |
Chinese anime titles distributed overseas | titles | 98 | 4 | |
Content creators earned income on Bilibili | 3.1 mn | 4 | ||
Daily Active Users (DAU) | mn | 104 | 4 | |
Documentaries produced | documentaries | 170+ | 4 | |
Hobby-related video views | bn | 54.5 | 4 | |
Monthly active content creators | mn | 4 | 4 | |
Number of product/service complaints | Thousand | 27 | 11 | 55 |
Users watched consumption-related content per day | 40 mn+ | 4 | ||
Users watched science and technology videos on Bilibili everyday | users | 15 mn+ | 4 | |
Year-over-year growth in average daily video views | % | 19% | 4 | |
Year-over-year increase in content creators' income from advertising and value-added service products | % | 21% | 4 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Newly registered copyrights | Item | 921 | 249 | 55 |
Newly registered patents | Item | 296 | 862 | 55 |
Newly registered trademarks | Item | 539 | 216 | 55 |
Registered copyright applications | Item | 2768 | 3017 | 55 |
Registered patent applications | Item | 1281 | 2143 | 55 |
Registered trademark applications | Item | 8693 | 8909 | 55 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Percentage of businesses with ISO Information Security Management System Certifications | % | 90%+ | 4 | |
Privacy & data security protection coverage | % | 100 | 100 | 55 |
Two-star rating for data-security-related social responsibility by CCIA | rating | two-star | 4 |
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 | 2024 | Report Pages |
---|---|---|---|
Number of corruption-related cases concluded | Number | 2 | 55 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Frequency of information security auditing | Times/Year | 4 | 4 | 55 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Anti-corruption related training (Board training coverage) | % | 100 | 100 | 55 |
Anti-corruption related training (Staff training coverage) | % | 100 | 100 | 55 |
Data security training coverage of cybersecurity-related employees | % | 100 | 100 | 55 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Bilibili Happy Scholarship granted | RMB mn | 1.29 | 4 | |
Bilibili primary schools built | schools | 7 | 4 | |
Cumulatively aired documentaries | documentaries | 5000+ | 4 | |
Emotional support sessions for users through the Charging Station Program | sessions | 43k+ | 4 | |
Percentage of Gen Z+ population in China who are active Bilibili users | % | 70% | 4 | |
Public welfare primary school project (Cumulative issuance of Bilibili Happy Scholarship funds) | million RMB | 119 | 129 | 55 |
Public welfare primary school project (Cumulative number of Public Welfare Schools) | Number | 6 | 7 | 55 |
Rural students benefited from Bilibili primary schools | students | 7195 | 4 | |
Users donated on the Bilibili Charity Platform | users | 1.07 mn+ | 4 | |
Users studied on Bilibili | mn | 220 | 4 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Employees supported in organizing interest-based club activities | employees | 2200+ | 4 |
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 |
---|---|---|---|
Scope 3 GHG Emissions (Business Travel) | tCO2e | 5340 | |
Scope 3 GHG Emissions (Employee Commuting) | tCO2e | 1178 | |
Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2e | 92020 | |
Total GHG Emissions | tCO2e | 73117 | 105175 |
Total GHG Emissions Intensity (By Area) | tCO2e/m² | 0.05 | 0.06 |
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 |
---|---|---|---|
Comprehensive Energy Consumption Intensity (By Area) | tce/m² | 0.01 | 0.01 |
Purchased Electricity | kWh | 12693101 | 12366975 |
Total Energy Consumption | tce | 1560 | 1520 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Total Water Withdrawal | tonnes | 92395 | 65417 |
Water Consumption | tonne | 65417 | |
Water Withdrawal Intensity | tonne/m² | 0.69 | 0.55 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
Electricity Usage Reduction Compared to Last Year | mn+ kWh | 7.45 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Packaging Material Intensity (By Revenue) | tonne/RMB10000 GMV | 0.02 | 0.01 |
Packaging Materials Consumed | tonnes | 3275 | 3125 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Female Employees | Person | 3806 | 3572 |
Number of Full-time Employees | Person | 8801 | 8088 |
Number of Male Employees | Person | 4995 | 4516 |
Number of Total Employees | Person | 8801 | 8088 |
Percentage of Full-time Employees | % | 100 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Turnover Rate of Employees in Mainland China | % | 22 | 17 |
Turnover Rate of Female Employees | % | 22 | 16 |
Turnover Rate of Male Employees | % | 22 | 17 |
Turnover Rate of Total Employees | % | 22 | 17 |
Lost days due to work injury.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Lost Days Due to Work-related Injuries | Days | 98 | 425 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Percentage of Trained Female Employees | % | 43 | 50 |
Percentage of Trained General Employees | % | 97 | 98 |
Percentage of Trained Male Employees | % | 57 | 50 |
Percentage of Trained Middle Management | % | 2 | 1 |
Percentage of Trained Senior Management | % | 1 | 1 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Average Training Hours (Female) | Hours | 31 | 40 |
Average Training Hours (General Staff) | Hours | 32 | 36 |
Average Training Hours (Male) | Hours | 34 | 31 |
Average Training Hours (Middle Management) | Hours | 37 | 16 |
Average Training Hours (Senior Management) | Hours | 43 | 36 |
Average Training Hours per Employee | hours | 35 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Suppliers in Mainland China | Number | 10835 | 7348 |
Number of Total Suppliers | Number | 11559 | 8400 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Products and Service Related Complaints | count | 27000 | 11000 |
Total Number of Customer Complaints | count | 27000 | 11000 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Patents Applied | Item | 1281 | 2143 |
Number of Patents Granted | Item | 296 | 862 |
Number of Trademark Applications | Item | 8693 | 8909 |
Number of Trademark Registrations | Item | 539 | 216 |
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.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Concluded Corruption Lawsuits | Number | 2 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Anti-corruption Training Coverage among Directors and Management | % | 100 | 100 |
Coverage of Anti-corruption Training for Employees | % | 100 | 100 |