2022 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of rounds of environmental nucleic acid sampling tests | rounds | 14 | 51 |
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 | Report Pages |
|---|---|---|---|
| Annual carbon emissions reduction from Store Terminal Night Shutdown Project | tonnes | 4000 | 58 |
| Direct GHG emissions (Scope 1) (tonnes) | tonnes | 400.87 | 61 |
| GHG emissions in offices per floor area (tonnes per square meter) | tonnes per square meter | 0.12 | 61 |
| GHG emissions per capita (tonnes per person) | tonnes per person | 0.94 | 61 |
| Indirect GHG emissions (Scope 2) (tonnes) | tonnes | 30247.61 | 61 |
| Total GHG emissions (Scope 1 and 2) (tonnes) | tonnes | 30648.48 | 61 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Hazardous waste produced per capita (kilograms per person) | kilograms per person | 0.04 | 61 |
| Hazardous waste produced per floor area (kilograms per square meter) | kilograms per square meter | 0.005 | 61 |
| Total hazardous waste produced (tonnes) | tonnes | 1.24 | 61 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Dalian Lianjia recycled electronic device | pieces | 400 | 59 |
| Nanjing Lianjia reused pieces of furniture | pieces | 2000 | 59 |
| Non-hazardous waste produced per capita (kilograms per person) | kilograms per person | 2 | 61 |
| Non-hazardous waste produced per floor area (kilograms per square meter) | kilograms per square meter | 16.23 | 61 |
| Suzhou Lianjia achieved inventory desk and chair reuse | 100% | 59 | |
| Total non-hazardous waste produced (tonnes) | tonnes | 527.72 | 61 |
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 | 2022 | Report Pages |
|---|---|---|---|
| Paper saved through paperless service model | sheets of paper | more than 68 million | 13 |
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 | Report Pages |
|---|---|---|---|
| Direct energy consumption | MWh | 1893.9 | 60 |
| Energy consumption in office areas per floor area | MWh per square meter | 0.24 | 60 |
| Energy consumption per capita | MWh per person | 1.94 | 60 |
| Indirect energy consumption | MWh | 61293.59 | 60 |
| Total comprehensive energy consumption | MWh | 63187.48 | 60 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Running water consumption per capita | tonnes per person | 7.14 | 60 |
| Water consumption | tonnes | 232244.08 | 60 |
| Water consumption per floor area | tonnes per square meter | 0.88 | 60 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of cities with night shutdown scripts deployed | cities | 30 | 58 |
| Number of computers with night shutdown scripts deployed | computers | 110000 | 58 |
| Store Terminal Night Shutdown Project - cities covered | cities | 30 | 13 |
| Store Terminal Night Shutdown Project - computers with night shutdown scripts | computers | 110000 | 13 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Intelligent store monitoring and control system coverage in Lianjia stores in Beijing | % | nearly 90 | 13 |
| Number of environmental nucleic acid sampling test spots | spots | 460 | 51 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Iterations of recruitment system and process upgrades completed | 11 | 13 | |
| Labor union members joined | members | more than 20000 | 13 |
| Labor unions set up in cities | cities | more than 20 | 13 |
| Number of days of welfare accommodation provided by Beike Caring Homes for Medical Care-Seeking Travelers | days | 583 | 64 |
| Number of employees by age group: Above age 50 | 278 | 50 | |
| Number of employees by age group: Age 31 to 50 | 43792 | 50 | |
| Number of employees by age group: Under age 30 | 54470 | 50 | |
| Number of employees by employment type: Formal | 97671 | 50 | |
| Number of employees by employment type: Others | 869 | 50 | |
| Number of employees by gender: Female | 37976 | 50 | |
| Number of employees by gender: Male | 60564 | 50 | |
| Number of employees by geographical region: Hong Kong, Macao and Taiwan | 169 | 50 | |
| Number of employees by geographical region: The Mainland of China | 98371 | 50 | |
| Number of employees by management level: Management | 984 | 50 | |
| Number of employees by management level: Non-management | 97556 | 50 | |
| System developments completed on recruitment approval, social recruitment process and mobility process | 48 | 13 | |
| Total number of employees | 98540 | 50 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Employee turnover rate by age group: Above age 50 | % | 19.19 | 50 |
| Employee turnover rate by age group: Age 31 to 50 | % | 19.63 | 50 |
| Employee turnover rate by age group: Under age 30 | % | 38.78 | 50 |
| Employee turnover rate by gender: Female | % | 34.7 | 50 |
| Employee turnover rate by gender: Male | % | 29.29 | 50 |
| Employee turnover rate by geographical region: The Mainland of China | % | 31.48 | 50 |
| Total turnover rate | % | 31.48 | 50 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of work-related fatalities | 2 | 51 | |
| Rate of work-related fatality | % | 0.002 | 51 |
Lost days due to work injury.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of working days lost due to work injuries | days | 6166 | 51 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of antigens purchased for employee self-test | antigens | 5000 | 51 |
| Number of professional disinfections conducted | disinfections | 2 | 51 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|
| Number of Carefree Rent service providers used Xiaobei AI-Assistant for self-training | service providers | 14500 | 30 | ||||
| Number of agents completed self-improvement training via Xiaobei AI-Assistant in real estate transaction business | agents | 344000 | 30 | ||||
| Number of cities with Smartphone Training Session Program for Seniors implemented | cities | 55 | 65 | ||||
| Number of participants in 1+X vocational skill level certificate exam in housing service industry | participants | 5000 | 30 | ||||
| Percentage of employees trained by gender (Female) | % | 94.13 | 53 | ||||
| Percentage of employees trained by gender (Male) | % | 95.03 | 53 | ||||
| Percentage of employees trained by management level (Management) | % | 91.65 | 53 | ||||
| Percentage of employees trained by management level (Non-management) | % | 94.84 | 53 | ||||
| Share-based compensation, 2018 | million RMB | 345 | 48 | ||||
| Share-based compensation, 2019 | million RMB | 2523 | 48 | ||||
| Share-based compensation, 2020 | million RMB | 2253 | 48 | ||||
| Share-based compensation, 2021 | million RMB | 1538 | 48 | ||||
| Share-based compensation, 2022 | million RMB | 2425 | 48 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Average Xiaobei AI-Assistant training time per agent in real estate transaction business | hours | 3.11 | 30 |
| Average training hours by gender (Female) | hours | 19.47 | 53 |
| Average training hours by gender (Male) | hours | 19.81 | 53 |
| Average training hours by management level (Management) | hours | 21.86 | 53 |
| Average training hours by management level (Non-management) | hours | 19.58 | 53 |
| Cumulative duration of Carefree Rent self-training via Xiaobei AI-Assistant | hours | 3022 | 30 |
| Cumulative duration of home renovation knowledge training via Xiaobei AI-Assistant | hours | 9022 | 30 |
| Total Xiaobei AI-Assistant training sessions completed by agents in real estate transaction business | million training sessions | 9.07 | 30 |
| Total training hours for employees and agents | hours | 7000000 | 53 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of maintained suppliers - The Mainland of China | 7167 | 45 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Forums held with management and customers | 63 | 17 | |
| Number of service providers learned about home renovation knowledge via Xiaobei AI-Assistant | service providers | 81000 | 30 |
| Percentage of existing home sales on Beike platform involving cross-store collaboration | % | 75.5 | 12 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Percentage of existing home listings on Beike platform posted by agents affiliated with Connected Stores | % | 86.2 | 12 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Centralized rental apartment projects in Chengdu and Shanghai, rooms under management | rooms | 800 | 25 |
| Customer complaints received | 316674 | 17 | |
| Customer inquiry satisfaction rate | over 98% | 17 | |
| Customer service team service requests | million times | 1.43 | 17 |
| Number of IM Leads Chat Post-Diagnosis Reports provided by Xiaobei AI-Assistant | reports | 73325 | 30 |
| Problem handling standards formulated | 120 | 17 | |
| Refunds for service commitments on Beike platform | million RMB | 480 | 17 |
| Total Xiaobei AI-Assistant assistance suggestions provided to agents | million | 136 | 30 |
| Types of problems with handling standards | 1542 | 17 | |
| Value of special discounts issued by the New Youth Program | over RMB 20 million | 12 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Countries and regions with overseas trademark layout and protection | 30 | 43 | |
| Registered trademarks (including previous years) | 1537 | 43 | |
| Trademark applications completed | 1472 | 43 | |
| Trademark applications completed overseas | 8903 | 43 | |
| Trademark authorizations granted overseas | 7387 | 43 | |
| Trademarks of Shengdu applied | 373 | 43 | |
| granted patents (cumulative) | 1345 | 44 | |
| patents granted domestically and internationally | 328 | 44 | |
| software copyrights (cumulative) | 712 | 44 | |
| software copyrights granted | 80 | 44 |
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 |
|---|---|---|---|
| Infringement cases successfully handled | 577 | 43 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Affordable rental properties operated in Chengdu | rental properties | 1300 | 25 |
| Club activity participants | times participants | 2500 | 48 |
| DLDP project participants | participants | 2800 | 53 |
| New Youth Program, housing units covered | housing units | 200000 | 25 |
| New Youth Program, special discounts issued | million RMB | 20 | 25 |
| Number of Love-Home public welfare practice activities (smartphone training courses) launched | courses | 301 | 65 |
| Number of cities covered by construction quality self-inspection activity (Lu Ban Campaign) | cities | 22 | 12 |
| Number of cities served by Beike Carefree Rent business | cities | 13 | 12 |
| Number of cities with Shanbei Go Charity Program volunteers | cities | 146 | 64 |
| Number of housing units covered by Beike Carefree Rent business | housing units | 70000 | 12 |
| Number of housing units covered by the New Youth Program | housing units | 200000 | 12 |
| Number of schools registered for 1+X vocational skill level certificate exam in housing service industry | schools | 40 | 30 |
| System developments focused on 'Two Wings' business | 26 | 13 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Employee club activities organized | times of participation | more than 2500 | 13 |
| Number of Warm Packs delivered to underdeveloped areas through Shanbei Go Charity Program | sets | 548 | 64 |
| Number of door-to-door vaccinations | vaccinations | 4 | 51 |
| Number of doses administered in door-to-door vaccinations | doses | 972 | 51 |
| Number of families served by Beike Caring Homes for Medical Care-Seeking Travelers | families | 20 | 64 |
| Number of participations in door-to-door nucleic acid testing | participations | 9993 | 51 |
| Number of rounds of door-to-door nucleic acid testing | rounds | 11 | 51 |
| Number of service instances provided in Smartphone Training Session Program for Seniors | instances | 500000 | 65 |
| Number of smartphone classes held for seniors | classes | 5769 | 65 |
| Number of smartphone training sessions for seniors | sessions | 17000 | 65 |
| Number of volunteers attracted for Shanbei Go Charity Program | volunteers | 40000 | 64 |
| Number of walking miles donated by Shanbei Go Charity Program volunteers | billion steps | 6.8 | 64 |
| Total volunteer service time for Love-Home public welfare practice activities | hours | 711 | 65 |
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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes | 400.87 |
| Indirect Energy Emissions (Scope 2) | tonnes | 30247.61 |
| Total GHG Emissions | tonnes | 30648.48 |
| Total GHG Emissions Intensity (By Area) | tonnes per square meter | 0.12 |
| Total GHG Emissions Intensity (By Employee) | tonnes per person | 0.94 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Hazardous Waste | tonnes | 1.24 |
| Total Hazardous Waste Intensity (By Area) | kilograms per square meter | 0.005 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | tonnes | 527.72 |
| Non-Hazardous Waste (Electronic Waste) | pieces | 400 |
| Non-Hazardous Waste Reused | pieces | 2000 |
| Total Non-Hazardous Waste Intensity (By Area) | kilograms per square meter | 16.23 |
| Total Non-Hazardous Waste Intensity (By Employee) | kilograms per person | 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 |
|---|---|---|
| Energy Consumption Intensity (By Area) | MWh per square meter | 0.24 |
| Energy Consumption Intensity (By Employee) | MWh per person | 1.94 |
| Total Direct Energy Consumption | MWh | 1893.9 |
| Total Energy Consumption | MWh | 63187.48 |
| Total Indirect Energy Consumption | MWh | 61293.59 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Water Consumption | tonnes | 232244.08 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Employees Aged 30-50 | 43792 | |
| Number of Employees Aged Above 50 | 278 | |
| Number of Employees Aged Below 30 | 54470 | |
| Number of Employees in Hong Kong and Mainland China | 98540 | |
| Number of Employees in Mainland China | 98371 | |
| Number of Female Employees | 37976 | |
| Number of Full-time Employees | 97671 | |
| Number of Male Employees | 60564 | |
| Number of Total Employees | 98540 | |
| Percentage of Employees Aged 30-50 | % | 44.47 |
| Percentage of Employees Aged Above 50 | % | 0.28 |
| Percentage of Employees Aged Below 30 | % | 55.28 |
| Percentage of Employees in Hong Kong and Mainland China | % | 100 |
| Percentage of Employees in Mainland China | % | 99.83 |
| Percentage of Female Employees | % | 38.52 |
| Percentage of Male Employees | % | 61.48 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 19.63 |
| Turnover Rate of Employees Aged Above 50 | % | 19.19 |
| Turnover Rate of Employees Aged Below 30 | % | 38.78 |
| Turnover Rate of Employees in Mainland China | % | 31.48 |
| Turnover Rate of Female Employees | % | 34.7 |
| Turnover Rate of Male Employees | % | 29.29 |
| Turnover Rate of Total Employees | % | 31.48 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Work-related Fatalities | 2 | |
| Work-related Fatalities Rate | % | 0.002 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 6166 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Trained Female Employees | % | 94.13 |
| Percentage of Trained General Employees | % | 94.84 |
| Percentage of Trained Male Employees | % | 95.03 |
| Percentage of Trained Senior Management | % | 91.65 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Average Training Hours (Female) | hours | 19.47 |
| Average Training Hours (General Staff) | hours | 19.58 |
| Average Training Hours (Male) | hours | 19.81 |
| Average Training Hours (Senior Management) | hours | 21.86 |
| Total Training Hours | hours | 7000000 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Suppliers in Mainland China | 7167 | |
| Number of Total Suppliers | 7167 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Number of Customer Complaints | 316674 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Accumulative Number of Patents Granted | 1345 | |
| Number of Intellectual Property Rights Obtained by the Company | 712 | |
| Number of Patents Granted | 328 | |
| Number of Trademark Applications | 1472 | |
| Number of Trademark Registrations | 1537 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Participations in Volunteer Activities | person-times | 2500 |
| Number of Registered Volunteers | volunteers | 40000 |
| Total Volunteer Service Hours | hours | 711 |