2019 SUSTAINABLE DEVELOPMENT 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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Per-capita GHG emission (tCO2e) | tCO2e | 3.43 | 3.68 | 2.12 | 85 |
| Ping An Annuity indirect reduction of carbon emissions | tons of CO2e | 3491.6 | 4760.7 | 58 | |
| Ping An Bank indirect reduction of carbon emissions | tons of CO2e | 10165.7 | 12222.7 | 58 | |
| Puhui Financial indirect reduction of carbon emissions | tons of CO2e | 547.4 | 564.4 | 58 | |
| Scope 1 emissions (tCO2e) | tCO2e | 7156 | 85 | ||
| Scope 2 emissions (tCO2e) | tCO2e | 720605 | 85 | ||
| Scope 3 emissions (tCO2e) | tCO2e | 69490 | 85 | ||
| Total GHG emission (tCO2e) | tCO2e | 172981 | 197904 | 797251 | 85 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Solid waste produced (tons) | tons | 9186 | 8957 | 309631 | 85 |
| Total amount of paper saved (tons) | tons | 253 | 85 | ||
| Total paper consumption (tons) | tons | 4315 | 85 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Lufax indirect reduction of carbon emissions | tons of CO2e | 1013.8 | 1343.5 | 58 |
| Ping An Health indirect reduction of carbon emissions | tons of CO2e | 676.4 | 1265.2 | 58 |
| Ping An Life indirect reduction of carbon emissions | tons of CO2e | 12338.3 | 15483.7 | 58 |
| Ping An Property & Casualty indirect reduction of carbon emissions | tons of CO2e | 33319.1 | 28857 | 58 |
| Total indirect reduction of carbon emissions | tons of CO2e | 61552.3 | 64497.2 | 58 |
| Year-on-year paper consumption reduction (%) | % | 5.53 | 85 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption of data centers (kWh) | kWh | 96317142 | 85 | ||
| Per-capita electricity consumption (kWh) | kWh | 2674.86 | 2893.8 | 2198.64 | 85 |
| Total diesel consumption (liters) | liters | 174898 | 85 | ||
| Total natural gas consumption (cubic meters) | cubic meters | 1916793 | 2031541 | 3402090 | 85 |
| Workplace Electricity consumption (kWh) | kWh | 134879626 | 155732102 | 732249926 | 85 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Per-capita water consumption (tons) | tons | 21.85 | 21.82 | 24.62 | 85 |
| Total water consumption (tons) | tons | 1101832 | 1173304 | 9279226 | 85 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of green buildings owned by Ping An | 12 | 58 | |
| Total area of green buildings owned by Ping An | thousand square meters | 1766 | 58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| 31 to 50 (%) | % | 37.62 | 39.86 | 45.19 | 88 |
| Above 50 (%) | % | 1.33 | 1.39 | 1.56 | 88 |
| Associate college degree (%) | % | 35.87 | 88 | ||
| Average compensation of female employees (in RMB) | RMB | 194305 | 89 | ||
| Average compensation of male employees (in RMB) | RMB | 233337 | 89 | ||
| Board of Directors age composition (31-50, %) | % | 15.38 | 83 | ||
| Board of Directors age composition (Above 50, %) | % | 84.62 | 83 | ||
| Board of Directors gender composition (Female, %) | % | 7.69 | 83 | ||
| Board of Directors gender composition (Male, %) | % | 92.31 | 83 | ||
| College graduate (%) | % | 52.3 | 88 | ||
| Female employees (%) | % | 49.67 | 48.64 | 48.27 | 88 |
| Han Chinese (%) | % | 95.05 | 94.91 | 94.54 | 88 |
| Male employees (%) | % | 50.33 | 51.36 | 51.73 | 88 |
| Number of ethnic minority employees | 19598 | 19606 | 88 | ||
| Number of ethnic minority senior management | 100 | 103 | 88 | ||
| Number of executive management | 14 | 12 | 88 | ||
| Number of female executive management | 3 | 3 | 88 | ||
| Number of female senior management | 685 | 746 | 88 | ||
| Number of in-house staff | 10000 people | 14.9 | 16.74 | 16.87 | 87 |
| Number of informal employees | 13351 | 16549 | 87 | ||
| Number of life insurance agents | 10000 people | 138.6 | 141.7 | 116.69 | 87 |
| Number of overseas employees | 336 | 87 | |||
| Number of regular employees | 363549 | 360357 | 87 | ||
| Number of sales agents | 10000 people | 19.27 | 20.95 | 20.83 | 87 |
| Number of senior management | 2694 | 2908 | 88 | ||
| Other ethnic minorities (%) | % | 4.95 | 5.09 | 5.46 | 88 |
| Percentage of informal employees | % | 3.54 | 4.39 | 87 | |
| Supervisory Committee age composition (31-50, %) | % | 60 | 83 | ||
| Supervisory Committee age composition (Above 50, %) | % | 40 | 83 | ||
| Supervisory Committee gender composition (Female, %) | % | 20 | 83 | ||
| Supervisory Committee gender composition (Male, %) | % | 80 | 83 | ||
| Total assets | trillion RMB | 8.22 | 48 | ||
| Total number of employees | 10000 people | 34.26 | 37.69 | 37.69 | 87 |
| Under 30 (%) | % | 61.05 | 58.75 | 53.25 | 88 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee turnover rate (%) | % | 33.32 | 89 |
| Female employee turnover rate (%) | % | 31.07 | 89 |
| Male employee turnover rate (%) | % | 33.48 | 89 |
| Operating profit | RMB billion, billion RMB | 147.722 | 14, 48 |
| Turnover rate of employees above 50 (%) | % | 9.69 | 89 |
| Turnover rate of employees aged 31 to 50 (%) | % | 13.43 | 89 |
| Turnover rate of employees in Central China (%) | % | 13.32 | 89 |
| Turnover rate of employees in East China (%) | % | 11.51 | 89 |
| Turnover rate of employees in North China (%) | % | 2.35 | 89 |
| Turnover rate of employees in Northeast China (%) | % | 4.79 | 89 |
| Turnover rate of employees in Northwest China (%) | % | 5.04 | 89 |
| Turnover rate of employees in South China (%) | % | 5.16 | 89 |
| Turnover rate of employees in Southwest China (%) | % | 8.06 | 89 |
| Turnover rate of employees under 30 (%) | % | 43.42 | 89 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Over-time expenses (RMB million), accounting for 0.28% of the labor costs | RMB million | 217 | 90 | ||
| Over-time expenses (RMB million), accounting for 0.33% of the labor costs | RMB million | 337 | 90 | ||
| Over-time expenses (RMB million), accounting for 0.40% of the labor costs | RMB million | 329 | 90 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Coverage rate of employee training on information security | 100% | 14, 48 | ||
| Coverage rate of face-to-face trainings of EXCO members and senior managers (%) | % | 48.25 | 69.34 | 90 |
| Coverage rate of face-to-face trainings of female employees (%) | % | 12.04 | 90 | |
| Coverage rate of face-to-face trainings of general management and employees (%) | % | 10.95 | 11.5 | 90 |
| Coverage rate of face-to-face trainings of male employees (%) | % | 13.59 | 90 | |
| Coverage rate of face-to-face trainings of medium-level managers (%) | % | 25.45 | 23.61 | 90 |
| Number of trainers of face-to-face courses (persons) | persons | 1037 | 1036 | 90 |
| Post-graduate (%) | % | 6.73 | 88 | |
| Total attendance of face-to-face training (person-times) | person-times | 44411 | 48400 | 90 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Average per-capita hours of face-to-face trainings and online trainings per employee (hours) | hours | 9.21 | 11.94 | 90 |
| Total employee training hours of face-to-face trainings and online trainings (thousand hours) | thousand hours | 3340.2 | 4498.9 | 90 |
| Total training expenses (in RMB million) | RMB million | 1046 | 1096 | 90 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers | 2358 | 3289 | 3038 | 83 | |
| Ping An Bank Green Credit - Annual loan amount | RMB million | 5605 | 87 | ||
| Ping An Bank Green Credit - Loan contracts signed in the year | 90 | 87 | |||
| Ping An Bank Green Credit - Total line of credit granted in the year | RMB million | 59056 | 87 | ||
| Ping An Bank Green Credit - YTD loan balance | RMB million | 24273 | 87 | ||
| Ping An Bank Inclusive Credit - Annual loan amount | RMB million | 499803 | 87 | ||
| Ping An Bank Inclusive Credit - Loan contracts signed in the year | 893538 | 87 | |||
| Ping An Bank Inclusive Credit - YTD loan balance | RMB million | 436678 | 87 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Green investment - Lease receivables | RMB million | 4261 | 87 |
| Green investment - Mutual funds | RMB million | 263.14 | 87 |
| Number of suppliers participated in ESG-themed training | 100 | 14, 48 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Cash dividends per share distributed to shareholders annually | RMB | 2.05 | 48 | ||
| Number of retail customers (Ping An Group) | 10000 | 15690 | 18022 | 20048 | 86 |
| Operating profit attributable to shareholders of the parent company | billion RMB | 149.407 | 48 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| 4-hour response rate of reservation (Ping An Health) | % | 98.25 | 98.69 | 91.4 | 86 |
| Auto claims payment ratio (Ping An Property & Casualty) | % | 99.58 | 99.93 | 99.88 | 86 |
| Customer satisfaction (Credit Card, 5-point scale) | 84 | 87 | 87 | 86 | |
| Customer satisfaction of call center services (Ping An Securities) | % | 98.94 | 98.32 | 98 | 86 |
| Daily praise rate (Ping An Good Doctor) | % | 99.04 | 98.88 | 98 | 86 |
| NPS (Credit Card) | % | 20 | 30 | 32 | 86 |
| NPS (Ping An Annuity) | % | 51 | 60 | 68 | 86 |
| NPS (Ping An Good Doctor) | % | 54 | 61 | 63 | 86 |
| NPS (Ping An Group) | % | 36 | 41 | 43 | 86 |
| NPS (Ping An Health) | % | 24 | 40 | 47 | 86 |
| NPS (Ping An Life) | % | 27 | 33 | 38 | 86 |
| NPS (Ping An Property & Casualty) | % | 48 | 56 | 69 | 86 |
| NPS (Ping An Securities) | % | 9 | 14 | 26 | 86 |
| NPS (Puhui Financial) | % | 32 | 23 | 86 | |
| Number of online customers (Ping An Group) | 10000 | 42951 | 44359 | 51550 | 86 |
| Number of surveys triggered by NPS touchpoints (Ping An Group) | 10000 | 300 | 4100 | 13748 | 86 |
| Per-case turnaround time for auto insurance claims under RMB10000 (Ping An Property & Casualty) | days | 12.23 | 13.1 | 11.23 | 86 |
| Premium income (Environmental insurance) | RMB million | 181 | 86 | ||
| Premium income (Inclusive insurance) | RMB million | 53811.31 | 86 | ||
| Premium income (Social insurance) | RMB million | 119114.34 | 86 | ||
| Response time of automatic claim handling (Ping An Health) | minutes | 1 | 86 | ||
| Rolling complaint rate in 12 months (Ping An Health) | % | 0.01 | 0.01 | 0.01 | 86 |
| Rolling complaint rate in 12 months (Ping An Life) | % | 0.04 | 0.04 | 0.04 | 86 |
| Total number of claimed paid (Ping An Property & Casualty) | 10000 | 2579 | 86 | ||
| Verification rate of complaints received | % | 100 | 100 | 83 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Complaint response rate (Puhui Financial) | % | 74 | 94 | 99 | 86 |
| Insured amount (Environmental insurance) | RMB million | 13586 | 86 | ||
| Insured amount (Inclusive insurance) | RMB million | 4079307.73 | 86 | ||
| Insured amount (Social insurance) | RMB million | 117117172.5 | 86 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Anti-corruption events | events | 2046 | 14, 48 | ||
| Compliance and internal control awareness raising activities coverage | % | 100 | 100 | 83 | |
| Coverage rate of anti-corruption education | % | 100 | 100 | 100 | 83 |
| Rectification rate of issues identified in annual audit | % | 90 | 71 | 83 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Anti-corruption training person-times | million person-times | 3.5674 | 48 | ||
| Attendance of anti-corruption trainings | million person-times | 12.13 | 3.57 | 83 | |
| Coverage rate of anti-money laundering training | 100% | 48 | |||
| Coverage rate of trainings on anti-money laundering | % | 100 | 100 | 100 | 83 |
| Number of anti-corruption trainings | 2000 | 2046 | 83 | ||
| Risk management staff training coverage | % | 100 | 100 | 83 | |
| Total training time of anti-corruption trainings of employees and agents | thousand hours | 728.2 | 83 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of valid policies (Environmental insurance) | 4309 | 86 | |
| Number of valid policies (Inclusive insurance) | 46823638 | 86 | |
| Number of valid policies (Social insurance) | 87203826 | 86 | |
| Social and inclusive investment - Lease receivables | RMB million | 145374 | 87 |
| Social and inclusive investment - Mutual funds | RMB million | 623.78 | 87 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Green investment - Bonds | RMB million | 16583.04 | 87 |
| Green investment - Equities | RMB million | 16843.77 | 87 |
| Green investment - Financial products | RMB million | 13293.62 | 87 |
| Lufax Holding Inclusive Credit - Annual loan amount | RMB million | 493723 | 87 |
| Lufax Holding Inclusive Credit - Loan contracts signed in the year | 2946744 | 87 | |
| Lufax Holding Inclusive Credit - YTD loan balance | RMB million | 462243 | 87 |
| Social and inclusive investment - Bonds | RMB million | 359566.43 | 87 |
| Social and inclusive investment - Equities | RMB million | 16428.71 | 87 |
| Social and inclusive investment - Financial products | RMB million | 381211.25 | 87 |
| Valid coverage (Environmental insurance) | person-time | 3783 | 86 |
| Valid coverage (Inclusive insurance) | person-time | 48705940 | 86 |
| Valid coverage (Social insurance) | person-time | 736594521 | 86 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 7156 | ||
| Indirect Energy Emissions (Scope 2) | tCO2e | 720605 | ||
| Total GHG Emissions | tCO2e | 172981 | 197904 | 797251 |
| Total GHG Emissions Intensity (By Employee) | tCO2e | 3.43 | 3.68 | 2.12 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 69490 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tons | 9186 | 8957 | 309631 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tons of CO2e | 61552.3 | 64497.2 |
| GHG Emissions Reduction Percentage Compared to Last Year | % | 5.53 |
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).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Diesel Fuel Consumption | liters | 174898 | ||
| Natural Gas Consumption | cubic meters | 1916793 | 2031541 | 3402090 |
| Purchased Electricity | kWh | 134879626 | 155732102 | 732249926 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption | tons | 1101832 | 1173304 | 9279226 |
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 | % |
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 |
|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Packaging Material Consumption (Paper) | tons | 4315 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Ethnic Minority Employees | people | 19598 | 19606 | |
| Number of Ethnic Minority Senior Management | people | 100 | 103 | |
| Number of Executive Management | people | 14 | 12 | |
| Number of Female Executive Management | people | 3 | 3 | |
| Number of Informal Employees | people | 13351 | 16549 | |
| Number of Regular Employees | people | 363549 | 360357 | |
| Number of Senior Management Employees | people | 2694 | 2908 | |
| Number of Senior Management Employees (Female) | people | 685 | 746 | |
| Number of Total Employees | people | 342600 | 376900 | 376900 |
| Percentage of Employees Aged 30-50 | % | 37.62 | 39.86 | 45.19 |
| Percentage of Employees Aged Above 50 | % | 1.33 | 1.39 | 1.56 |
| Percentage of Employees Aged Below 30 | % | 61.05 | 58.75 | 53.25 |
| Percentage of Female Employees | % | 49.67 | 48.64 | 48.27 |
| Percentage of Informal Employees | % | 3.54 | 4.39 | |
| Percentage of Male Employees | % | 50.33 | 51.36 | 51.73 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 13.43 |
| Turnover Rate of Employees Aged Above 50 | % | 9.69 |
| Turnover Rate of Employees Aged Below 30 | % | 43.42 |
| Turnover Rate of Employees in Central China | % | 13.32 |
| Turnover Rate of Employees in East China | % | 11.51 |
| Turnover Rate of Employees in North China | % | 2.35 |
| Turnover Rate of Employees in Northeast China | % | 4.79 |
| Turnover Rate of Employees in Northwest China | % | 5.04 |
| Turnover Rate of Employees in South China | % | 5.16 |
| Turnover Rate of Employees in Southwest China | % | 8.06 |
| Turnover Rate of Female Employees | % | 31.07 |
| Turnover Rate of Male Employees | % | 33.48 |
| Turnover Rate of Total Employees | % | 33.32 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Percentage of Trained Female Employees | % | 12.04 | |
| Percentage of Trained General Employees | % | 10.95 | 11.5 |
| Percentage of Trained Male Employees | % | 13.59 | |
| Percentage of Trained Middle Management | % | 25.45 | 23.61 |
| Percentage of Trained Senior Management | % | 48.25 | 69.34 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Average Training Hours per Employee | hours | 9.21 | 11.94 |
| Total Training Hours | hours | 3340200 | 4498900 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Total Suppliers | 2358 | 3289 | 3038 |
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 | 2019 |
|---|---|---|
| Number of Suppliers Participating in ESG Training | 100 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Complaints Handling Rate | % | 100 | 100 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| 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 |
|---|---|---|---|
| Number of Anti-corruption Training Session | 2000 | 2046 | |
| Number of Attendance for Anti-corruption Training | million person-times | 12.13 | 3.57 |
| Total Hours of Anti-corruption Training | hours | 728200 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB billion | 15.745 |
| Number of Registered Volunteers | persons | 478900 |
| Total Volunteer Service Hours | hours | 571000 |