2017 CORPORATE SOCIAL RESPONSIBILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Solid waste emission | tons | 9186 | 73 |
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 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| 2017 carbon emission Scope 1 | tCO2e | 3774 | 73 | ||
| 2017 carbon emission Scope 2 | tCO2e | 123860 | 73 | ||
| 2017 carbon emission Scope 3 | tCO2e | 45347 | 73 | ||
| Per-capita GHG emission | tCO2e | 1.77 | 1.85 | 3.43 | 73 |
| Total GHG emission | tCO2e | 67577 | 84860 | 172981 | 73 |
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 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Paper saved - E-bill | 1000 kilograms | 1765.42 | 2886 | 4173 | 74 |
| Paper saved - E-letter | 1000 kilograms | 597.03 | 698.97 | 935 | 74 |
| Paper saved - Electronic policy | 1000 kilograms | 65.45 | 74 | ||
| Paper saved - MIT mobile business model | 1000 kilograms | 1259.09 | 1081.91 | 1383.84 | 74 |
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 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Per-capita consumption of electricity | kWh | 1924 | 1898 | 2674.86 | 73 |
| Total consumption of Natural Gas | cubic meters | 2474140 | 1916793 | 73 | |
| Total consumption of electricity | kWh | 73589670 | 87104719 | 134879626 | 73 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Per-capita consumption of water | tons | 19.72 | 17.79 | 21.85 | 73 |
| Total consumption of water | tons | 754597 | 816488 | 1101832 | 73 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Age - 30 years old or below | % | 65.89 | 68 | 61.05 | 70 |
| Age - 31-50 years old | % | 32.76 | 30.8 | 37.62 | 70 |
| Age - over 50 years old | % | 1.35 | 1.2 | 1.33 | 70 |
| Average term of BoD members | 7.76 | 66 | |||
| Average working experience of female employees in Ping An Group | years | 399 | 69 | ||
| Average working experience of male employees in Ping An Group | years | 347 | 69 | ||
| Board of Directors age ratio - 30 years old or below | 0% | 66 | |||
| Board of Directors age ratio - 30-50 years old (incl. 50 years old) | 18% | 66 | |||
| Board of Directors age ratio - Above 50 years old | 82% | 66 | |||
| Board of Directors gender ratio - Female | 11.76% | 66 | |||
| Board of Directors gender ratio - Male | 88.24% | 66 | |||
| Board of Directors headcount - Executive Director | 6 | 66 | |||
| Board of Directors headcount - Independent Non-executive Director | 6 | 66 | |||
| Board of Directors headcount - Non-executive Director | 5 | 66 | |||
| Board of Directors headcount - Total | 17 | 66 | |||
| Board of Supervisors age ratio - 30 years old or below | 0% | 66 | |||
| Board of Supervisors age ratio - 30-50 years old (incl. 50 years old) | 60% | 66 | |||
| Board of Supervisors age ratio - Above 50 years old | 40% | 66 | |||
| Board of Supervisors gender ratio - Female | 20% | 66 | |||
| Board of Supervisors gender ratio - Male | 80% | 66 | |||
| Board of Supervisors headcount - Employee Representative Supervisor | 2 | 66 | |||
| Board of Supervisors headcount - Employee Supervisors | 1 | 66 | |||
| Board of Supervisors headcount - Independent Supervisor | 2 | 66 | |||
| Board of Supervisors headcount - Total | 5 | 66 | |||
| EPS (RMB) | RMB | 2.98 | 3.5 | 4.99 | 66 |
| Gender - Female | % | 49.93 | 49.4 | 49.67 | 70 |
| Gender - Male | % | 50.07 | 50.6 | 50.33 | 70 |
| Nationality - Han | % | 95.5 | 95.3 | 95.05 | 70 |
| Nationality - Others | % | 4.5 | 4.7 | 4.95 | 70 |
| Number of BoD members | 18 | 69 | |||
| Number of executive management | 11 | 69 | |||
| Number of female Directors | 2 | 69 | |||
| Number of female executive management | 2 | 69 | |||
| Number of female senior management | 31 | 69 | |||
| Number of in-house staff | 10k | 12.53 | 13.75 | 14.99 | 69 |
| Number of informal employees | 10147 | 69 | |||
| Number of minority employees | 17160 | 69 | |||
| Number of minority senior management | 9 | 69 | |||
| Number of regular employees | 342588 | 69 | |||
| Number of sales agents | 10k | 14.98 | 18.1 | 19.27 | 69 |
| Number of senior management | 211 | 69 | |||
| Percentage of informal employees | 2.88% | 69 | |||
| Solvency adequacy ratio (%) of the Group | % | 195.4 | 210 | 214.9 | 66 |
| The maximum number of concurrent positions held by all directors elsewhere | 4 | 66 | |||
| Total assets | RMB million | 4765159 | 5576903 | 6493075 | 66 |
| Total number of employees | 10k | 27.5 | 31.86 | 34.26 | 69 |
| Total remuneration paid | RMB million | 43321 | 45542 | 48271 | 66 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Annual activity rate, mobile learning platform - Zhi Niao | 81.73% | 99.8% | 71 | |
| Coverage rate of face-to-face trainings of C Commission and general management | % | 10.1 | 71 | |
| Coverage rate of face-to-face trainings of EXCO members and senior managers | % | 52.48 | 71 | |
| Coverage rate of face-to-face trainings of Level B and medium-level managers | % | 16.95 | 71 | |
| Highest monthly activity rate, mobile learning platform - Zhi Niao | 94.80% | 95% | 71 | |
| Number of online examinations taken, mobile learning platform - Zhi Niao | million | 446000 | 19.71 | 71 |
| Number of online study, mobile learning platform - Zhi Niao | million | 222.301 | 71 | |
| Number of valid users, mobile learning platform - Zhi Niao | million | 1.42 | 4.013 | 71 |
| Per-capita completed online courses, mobile learning platform - Zhi Niao | courses | 36.5 | 33 | 71 |
| Total number of courses, mobile learning platform - Zhi Niao | courses | 70000 | An addition of 65000 courses and an accumulative of 180000 courses | 71 |
| Total playback, mobile learning platform - Zhi Niao | million | 48.665 | 123.3442 | 71 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| OT expenses, whole PAG | RMB million | 198.02 | 267.1472 | 217.0497 | 71 |
| Participation in online trainings, mobile learning platform - Zhi Niao | person times | 1345 | 71 | ||
| Per-capita training time of face-to-face trainings and online trainings | hour | 8.11 | 71 | ||
| Total hours of online study, mobile learning platform - Zhi Niao | hours, million hours | 333000 | 1.924 | 71 |
Number of suppliers by geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Number of cooperative PAL agents | 870 | 1111 | 1396 | 74 | |
| Number of cooperative institutions - OneConnect | 1800 | 2358 | 74 | ||
| Number of cooperative providers - Providers | 988 | 1219 | 1397 | 74 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Credit card Customer satisfaction of credit card (Full score: 100 points) | 81 | 83 | 84 | 68 | |
| Credit card NPS | 6% | 15% | 20% | 68 | |
| PA Annuity Customer's satisfaction (Full score: 5 points) | 4.63 | 4.62 | 4.64 | 68 | |
| PA Annuity NPS | 25% | 44% | 51% | 68 | |
| PAL NPS | 16% | 21.00% | 27% | 68 | |
| PAL Overall customer satisfaction | 93.7% | 93.50% | 94.2% | 68 | |
| PAL Rolling complaint rate in Dec. | % | 0.06 | 0.044 | 0.04 | 68 |
| Ping An Bank NPS | 23% | 23% | 31% | 68 | |
| Ping An Health 4-hour answer rate of reservation services | 93.06% | 95.15% | 98.25% | 68 | |
| Ping An Health Cloud Daily praise rate | 98.69% | 99.04% | 68 | ||
| Ping An Health Cloud NPS | 52.00% | 54% | 68 | ||
| Ping An Health NPS | 21% | 22.00% | 24% | 68 | |
| Ping An Health Rolling complaint rate in 12 months | % | 0.02 | 0.02 | 0.01 | 68 |
| Ping An Property & Casualty Auto claims payment ratio | 99.24% | 99.85% | 99.58% | 68 | |
| Ping An Property & Casualty NPS | 47% | 47% | 48% | 68 | |
| Ping An Property & Casualty Per-case turnaround time for auto insurance claims under RMB10000 | days | 15.38 | 14.42 | 12.23 | 68 |
| Ping An Puhui Completion rate of complaint before the deadline | 92% | 98.6% | 68 | ||
| Ping An Puhui NPS | 21% | 30% | 68 | ||
| Ping An Securities Customer satisfaction of call center service | 98.06% | 98.94% | 68 | ||
| Ping An Securities NPS | 3.50% | 9% | 68 | ||
| Ping An Trust Call-in rate of customer service | 96.73% | 98% | 68 | ||
| Ping An Trust NPS | 51% | 38% | 68 |
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 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Total tax paid | RMB million | 55641 | 61147 | 82262 | 66 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Coverage rate of education on incorruption | 100% | 100% | 100% | 66 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Coverage rate of trainings on AML and protection of trade secrets | 100% | 100% | 100% | 66 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Total income | RMB million | 619990 | 712453 | 890882 | 66 |
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 | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 3774 | ||
| Indirect Energy Emissions (Scope 2) | tCO2e | 123860 | ||
| Total GHG Emissions | tCO2e | 67577 | 84860 | 172981 |
| Total GHG Emissions Intensity (By Employee) | tCO2e | 1.77 | 1.85 | 3.43 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 45347 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Non-Hazardous Waste Disposed | tons | 9186 |
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 | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Grid Electricity Consumption | kWh | 73589670 | 87104719 | 134879626 |
| Natural Gas Consumption | cubic meters | 2474140 | 1916793 | |
| Purchased Electricity | kWh | 73589670 | 87104719 | 134879626 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Water Consumption | tons | 754597 | 816488 | 1101832 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Number of Senior Management Employees | persons | 211 | ||
| Number of Senior Management Employees (Female) | persons | 31 | ||
| Number of Total Employees | persons | 275000 | 318600 | 342600 |
| Percentage of Employees Aged 30-50 | % | 32.76 | 30.8 | 37.62 |
| Percentage of Employees Aged Above 50 | % | 1.35 | 1.2 | 1.33 |
| Percentage of Employees Aged Below 30 | % | 65.89 | 68 | 61.05 |
| Percentage of Female Employees | % | 49.93 | 49.4 | 49.67 |
| Percentage of Male Employees | % | 50.07 | 50.6 | 50.33 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Percentage of Trained General Employees | % | 10.1 |
| Percentage of Trained Middle Management | % | 16.95 |
| Percentage of Trained Senior Management | % | 52.48 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2016 | 2017 |
|---|---|---|---|
| Average Training Hours per Employee | hour | 8.11 | |
| Total Training Hours | hours | 333000 | 1924000 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Number of Total Suppliers | 988 | 1219 | 1397 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| 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 | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 100 | 100 |