2020 Sustainability 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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Per-capita GHG emission (tCO2e/person) | tCO2e/person | 3.68 | 2.12 | 1.47 | 111 |
| Scope 1 emissions (tCO2e) | tCO2e | 2114.51 | 111 | ||
| Scope 2 emissions (tCO2e) | tCO2e | 478287.47 | 111 | ||
| Scope 3 emissions (tCO2e) | tCO2e | 49897.43 | 111 | ||
| Total GHG emission (tCO2e) | tCO2e | 197904 | 797251 | 530299 | 111 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Garbage produced by Ping An Financial Center reduction | decrease | 20% | 97 | ||
| Solid waste produced (tons) | tons | 8957 | 308941 | 331125 | 111 |
| Total paper consumption (tons) | tons | 6764 | 111 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption of data centers (kWh) | kWh | 96317142 | 21804243 | 111 | |
| Per-capita electricity consumption (kWh) | kWh | 2893.8 | 2198.64 | 1520.23 | 111 |
| Total diesel consumption (liters) | liters | 174898 | 4243 | 111 | |
| Total natural gas consumption (cubic meters) | cubic meters | 2031541 | 3402090 | 1068243 | 111 |
| Workplace Electricity consumption (kWh) | kWh | 155732102 | 732249926 | 527951472 | 111 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Per-capita water consumption (tons) | tons | 21.82 | 24.62 | 74.2 | 111 |
| Total water consumption (tons) | tons | 1173304 | 9279226 | 26831408 | 111 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Bottled water usage reduction at Ping An Financial Center | year-on-year reduction | 92% | 97 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| 30 to 50 (%) | % | 39.86 | 45.19 | 44.89 | 113 |
| Above 50 (%) | % | 1.39 | 1.56 | 1.45 | 113 |
| Associate college degree (%) | % | 34.43 | 113 | ||
| Average compensation of female employees (in RMB) | RMB | 202312 | 114 | ||
| Average compensation of male employees (in RMB) | RMB | 244311 | 114 | ||
| Board of Directors - Executive Director(s) headcount | person | 5 | 106 | ||
| Board of Directors - Independent non-executive Director(s) headcount | person | 5 | 106 | ||
| Board of Directors - Non-executive Director(s) headcount | person | 3 | 106 | ||
| Board of Directors - Total headcount | person | 13 | 106 | ||
| Board of Directors age composition - 31-50 (%) | % | 23 | 107 | ||
| Board of Directors age composition - Above 50 (%) | % | 77 | 107 | ||
| Board of Directors gender composition - Female (%) | % | 15 | 107 | ||
| Board of Directors gender composition - Male (%) | % | 85 | 107 | ||
| College graduate (%) | % | 53.22 | 113 | ||
| Female employees (%) | % | 48.64 | 48.27 | 48.41 | 112 |
| Han Chinese (%) | % | 94.91 | 94.54 | 94 | 113 |
| Male employees (%) | % | 51.36 | 51.73 | 51.59 | 112 |
| Number of ethnic minority employees | 19598 | 19606 | 21676 | 112 | |
| Number of ethnic minority senior management | 100 | 103 | 111 | 112 | |
| Number of executive management | 14 | 12 | 10 | 112 | |
| Number of female executive management | 3 | 3 | 3 | 112 | |
| Number of female senior management | 685 | 746 | 725 | 112 | |
| Number of in-house staff (ten thousand people) | ten thousand people | 16.74 | 16.87 | 16.26 | 112 |
| Number of informal employees (ten thousand people) | ten thousand people | 1.3 | 1.6 | 1.1 | 112 |
| Number of life insurance agents (ten thousand people) | ten thousand people | 141.7 | 116.69 | 102.24 | 112 |
| Number of overseas employees | 336 | 424 | 112 | ||
| Number of regular employees (ten thousand people) | ten thousand people | 36.3 | 36 | 35.1 | 112 |
| Number of sales agents (ten thousand people) | ten thousand people | 20.95 | 20.83 | 19.9 | 112 |
| Number of senior management | 2694 | 2908 | 2877 | 112 | |
| Other ethnic minorities (%) | % | 5.09 | 5.46 | 6 | 113 |
| Overtime expense (RMB million) | RMB million | 329 | 337 | 343 | 114 |
| Overtime expense as % of labor costs | % | 0.4 | 0.33 | 0.4 | 114 |
| Percentage of informal employees (%) | % | 3.54 | 4.39 | 3.03 | 112 |
| Ping An Group Number of online customers (million) | million | 443.59 | 515.5 | 598.04 | 110 |
| Ping An Group Number of retail customers (million) | million | 180.22 | 200.48 | 218.43 | 110 |
| Supervisory Committee - Employee Representative Supervisor(s) headcount | person | 2 | 106 | ||
| Supervisory Committee - External Supervisor(s) headcount | person | 2 | 106 | ||
| Supervisory Committee - Shareholder Representative Supervisor(s) headcount | person | 1 | 106 | ||
| Supervisory Committee - Total headcount | person | 5 | 106 | ||
| Supervisory Committee age composition - 31-50 (%) | % | 60 | 107 | ||
| Supervisory Committee age composition - Above 50 (%) | % | 40 | 107 | ||
| Supervisory Committee gender composition - Female (%) | % | 20 | 107 | ||
| Supervisory Committee gender composition - Male (%) | % | 80 | 107 | ||
| Total assets | trillion RMB | 9.53 | 70 | ||
| Total number of employees (ten thousand people) | ten thousand people | 37.69 | 37.69 | 36.16 | 112 |
| Total remuneration paid (in RMB million) | RMB million | 49902 | 59144 | 61379 | 106 |
| Under 30 (%) | % | 58.75 | 53.25 | 53.66 | 113 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Employee turnover rate (%) | % | 32.6 | 114 |
| Female employee turnover rate (%) | % | 31.5 | 114 |
| Male employee turnover rate (%) | % | 33.6 | 114 |
| Turnover rate of employees above 50 (%) | % | 15.8 | 114 |
| Turnover rate of employees aged 31 to 50 (%) | % | 18.7 | 114 |
| Turnover rate of employees in Central China (%) | % | 15.5 | 114 |
| Turnover rate of employees in East China (%) | % | 28.9 | 114 |
| Turnover rate of employees in North China (%) | % | 20.4 | 114 |
| Turnover rate of employees in Northeast China (%) | % | 38.2 | 114 |
| Turnover rate of employees in Northwest China (%) | % | 42 | 114 |
| Turnover rate of employees in South China (%) | % | 26.7 | 114 |
| Turnover rate of employees in Southwest China (%) | % | 43 | 114 |
| Turnover rate of employees under 30 (%) | % | 41.3 | 114 |
Lost days due to work injury.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of lost working days due to work related injuries (days) | days | 411546.46 | 115 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Annual activity rate on mobile phone (%) | % | 99.37 | 115 | ||
| Attendance of online trainings (ten thousand person) | ten thousand person | 8.2 | 115 | ||
| Coverage rate of face-to-face trainings of EXCO members and senior managers (%) | % | 48.25 | 69.34 | 45.49 | 115 |
| Coverage rate of face-to-face trainings of female employees (%) | % | 12.04 | 22.24 | 115 | |
| Coverage rate of face-to-face trainings of general management and employees (%) | % | 10.95 | 11.5 | 7.49 | 115 |
| Coverage rate of face-to-face trainings of male employees (%) | % | 13.59 | 22.71 | 115 | |
| Coverage rate of face-to-face trainings of medium-level managers (%) | % | 25.45 | 23.61 | 13.4 | 115 |
| Highest monthly activity rate on mobile phone (%) | % | 95.54 | 115 | ||
| Number of online examinations taken (ten thousand times) | ten thousand times | 748.39 | 115 | ||
| Number of playback on mobile phone (ten thousand times) | ten thousand times | 4442.6 | 115 | ||
| Number of trainers of face-to-face courses (persons) | persons | 10.46 | 10.96 | 972 | 115 |
| Number of valid users on mobile phone (million) | million | 36.24 | 115 | ||
| Post-graduate (%) | % | 7.58 | 113 | ||
| Total attendance of face-to-face training (person) | person | 44411 | 48400 | 30029 | 115 |
| Total number of courses on mobile phone (ten thousand) | ten thousand | 5.2 | 115 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average employee information security training hours (hours) | hours | 3.8 | 108 | ||
| Average per-capita hours of face-to-face trainings and online trainings per employee (hours) | hours | 9.21 | 11.94 | 33.19 | 115 |
| Number of hours of online training (ten thousand hours) | ten thousand hours | 1162.71 | 115 | ||
| Total employee training hours of face-to-face trainings and online trainings (hours) | hours | 3340220.7 | 4498886.87 | 12068696.28 | 115 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| China Green Bond Fund countries with long-term impacts | 26 | 57 | |||
| China Green Bond Fund eligible green bonds invested | 46 | 57 | |||
| China Green Bond Fund infrastructure projects benefited | 833 | 57 | |||
| China Green Bond Fund investment | RMB | 600000000 | 57 | ||
| Number of material suppliers | 1535 | 108 | |||
| Number of service providers | 5865 | 108 | |||
| Number of suppliers | 3289 | 3038 | 7400 | 107 | |
| Number of suppliers in Central China | 556 | 108 | |||
| Number of suppliers in East China | 2648 | 108 | |||
| Number of suppliers in North China | 1126 | 108 | |||
| Number of suppliers in Northeast China | 458 | 108 | |||
| Number of suppliers in Northwest China | 422 | 108 | |||
| Number of suppliers in South China | 1462 | 108 | |||
| Number of suppliers in Southwest China | 693 | 108 | |||
| Number of suppliers overseas | 35 | 108 | |||
| Total assets (in RMB million) | RMB million | 7142960 | 8222929 | 9527870 | 106 |
| Total number of suppliers eliminated in this year | 1299 | 108 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Average score of supplier assessment (100-point scale) | 95.01 | 108 | |
| Coverage rate of ESG related trainings for suppliers (%) | % | 0.22 | 108 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Operating profit (in RMB million) | RMB million | 125804 | 147722 | 155670 | 106 |
| Operating profit attributable to shareholders of the parent company (in RMB million) | RMB million | 107404 | 149407 | 143099 | 106 |
| Operating profits | billion RMB | 159.359 | 70 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Credit Card Customer satisfaction | 87 | 87 | 88 | 110 | |
| Credit Card NPS (%) | % | 30 | 32 | 40 | 110 |
| Ping An Annuity NPS (%) | % | 60 | 68 | 69 | 110 |
| Ping An Group NPS (%) | % | 41 | 43 | 48 | 110 |
| Ping An Group Number of surveys triggered by NPS touchpoints (million) | million | 41 | 137.48 | 200.32 | 110 |
| Ping An Health 4-hour response rate of reservation (%) | % | 98.69 | 91.4 | 97.48 | 110 |
| Ping An Health NPS (%) | % | 40 | 47 | 49 | 110 |
| Ping An Health Rolling complaint rate in 12 months (%) | % | 0.01 | 0.01 | 0.002 | 110 |
| Ping An Life NPS (%) | % | 33 | 38 | 41 | 110 |
| Ping An Life Rolling complaint rate in 12 months (%) | % | 0.04 | 0.04 | 0.05 | 110 |
| Ping An Property & Casualty Auto claims payment ratio (%) | % | 99.93 | 99.88 | 99.79 | 110 |
| Ping An Property & Casualty NPS (%) | % | 56 | 69 | 71 | 110 |
| Ping An Property & Casualty Per-case turnaround time for auto insurance claims under RMB10000 (days) | days | 13.1 | 11.23 | 11.3 | 110 |
| Ping An Property & Casualty Total number of claimed paid (million) | million | 25.79 | 12.96 | 110 | |
| Puhui Financial Complaint response rate (%) | % | 94 | 99 | 99 | 110 |
| Puhui Financial NPS (%) | % | 32 | 23 | 25 | 110 |
| Verification rate of complaints received | % | 100 | 100 | 100 | 107 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Insurance fund investment portfolio size (in RMB trillion) | RMB trillion | 2.79 | 3.21 | 3.74 | 106 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Information security evaluation score (100-point scale) | 88.1 | 108 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Solvency adequacy ratio of the Group (%) | % | 216.4 | 229.8 | 236.4 | 106 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Compliance and internal control awareness raising activities coverage | % | 100 | 100 | 100 | 107 |
| Coverage rate of anti-corruption education | % | 100 | 100 | 100 | 107 |
| Rectification rate of issues identified in annual audit | % | 96 | 71 | 79 | 107 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Attendance of anti-corruption trainings | million person | 12.13 | 3.57 | 3.12 | 107 |
| Coverage rate of trainings on anti-money laundering | % | 100 | 100 | 100 | 107 |
| Number of anti-corruption trainings | 2000 | 2046 | 2088 | 107 | |
| Risk management staff training coverage | % | 100 | 100 | 100 | 107 |
| Total training time of anti-corruption trainings of employees and agents | thousand hours | 728 | 912 | 107 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Annualized return on investment(%) | % | 5.2 | 5.2 | 5.1 | 106 |
| Basic EPS | RMB | 8.1 | 70 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total income (in RMB million) | RMB million | 976832 | 1168867 | 1218315 | 106 |
| Total tax paid (in RMB million) | RMB million | 121324 | 118300 | 103576 | 106 |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 2114.51 | ||
| Indirect Energy Emissions (Scope 2) | tCO2e | 478287.47 | ||
| Total GHG Emissions | tCO2e | 197904 | 797251 | 530299 |
| Total GHG Emissions Intensity (By Employee) | tCO2e/person | 3.68 | 2.12 | 1.47 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 49897.43 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tons | 8957 | 308941 | 331125 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| GHG Emissions Reduction Compared to Last Year | tCO2e |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Diesel Fuel Consumption | liters | 174898 | 4243 | |
| Natural Gas Consumption | cubic meters | 2031541 | 3402090 | 1068243 |
| Purchased Electricity | kWh | 155732102 | 732249926 | 527951472 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | tons | 1173304 | 9279226 | 26831408 |
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 | 2020 |
|---|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % | 92 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Packaging Material Consumption (Paper) | tons | 6764 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Senior Management Employees | person | 2694 | 2908 | 2877 |
| Number of Senior Management Employees (Female) | person | 685 | 746 | 725 |
| Number of Total Employees | person | 376900 | 376900 | 361600 |
| Percentage of Employees Aged 30-50 | % | 39.86 | 45.19 | 44.89 |
| Percentage of Employees Aged Above 50 | % | 1.39 | 1.56 | 1.45 |
| Percentage of Employees Aged Below 30 | % | 58.75 | 53.25 | 53.66 |
| Percentage of Female Employees | % | 48.64 | 48.27 | 48.41 |
| Percentage of Male Employees | % | 51.36 | 51.73 | 51.59 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 18.7 |
| Turnover Rate of Employees Aged Above 50 | % | 15.8 |
| Turnover Rate of Employees Aged Below 30 | % | 41.3 |
| Turnover Rate of Employees in Central China | % | 15.5 |
| Turnover Rate of Employees in East China | % | 28.9 |
| Turnover Rate of Employees in North China | % | 20.4 |
| Turnover Rate of Employees in Northeast China | % | 38.2 |
| Turnover Rate of Employees in Northwest China | % | 42 |
| Turnover Rate of Employees in South China | % | 26.7 |
| Turnover Rate of Employees in Southwest China | % | 43 |
| Turnover Rate of Female Employees | % | 31.5 |
| Turnover Rate of Male Employees | % | 33.6 |
| Turnover Rate of Total Employees | % | 32.6 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 411546.46 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | % | 12.04 | 22.24 | |
| Percentage of Trained General Employees | % | 10.95 | 11.5 | 7.49 |
| Percentage of Trained Male Employees | % | 13.59 | 22.71 | |
| Percentage of Trained Middle Management | % | 25.45 | 23.61 | 13.4 |
| Percentage of Trained Senior Management | % | 48.25 | 69.34 | 45.49 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours per Employee | hours | 9.21 | 11.94 | 33.19 |
| Total Training Hours | hours | 3340220.7 | 4498886.87 | 12068696.28 |
| Training Hours of Cybersecurity | hours | 3.8 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Suppliers in Central China | 556 | |||
| Number of Suppliers in East China | 2648 | |||
| Number of Suppliers in North China | 1126 | |||
| Number of Suppliers in Northeast China | 458 | |||
| Number of Suppliers in Northwest China | 422 | |||
| Number of Suppliers in Overseas | 35 | |||
| Number of Suppliers in South China | 1462 | |||
| Number of Suppliers in Southwest China | 693 | |||
| Number of Total Suppliers | 3289 | 3038 | 7400 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of Suppliers Participated in ESG Training | % | 0.22 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Complaints Handling Rate | % | 94 | 99 | 100 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % | 100 | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Anti-corruption Training Session | 2000 | 2046 | 2088 | |
| Number of Attendance for Anti-corruption Training | person | 12130000 | 3570000 | 3120000 |
| Total Hours of Anti-corruption Training | hours | 728000 | 912000 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit |
|---|---|
| Investment in Targeted Poverty Alleviation | RMB million |
| Number of Employees Participating in Volunteer Activities | persons |
| Number of Registered Volunteers | volunteers |
| Total Social Investment | RMB million |
| Total Volunteer Service Hours | hours |