2018 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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| 2018 Green House Gases Emissions Scope 1 (tCO2e) | tCO2e | 3774 | 89 | ||
| 2018 Green House Gases Emissions Scope 2 (tCO2e) | tCO2e | 123860 | 89 | ||
| 2018 Green House Gases Emissions Scope 3 (tCO2e) | tCO2e | 453477 | 89 | ||
| GHG emission (scope 1, 2, 3) | tCO2e | 197904 | 5 | ||
| Per-capita GHG emission (tCO2e) | tCO2e | 1.85 | 3.43 | 3.68 | 89 |
| Total GHG emission (tCO2e) | tCO2e | 84860 | 172981 | 197904 | 89 |
| Total reduction of carbon emissions | tCO2e | 51871.4 | 61552.3 | 71 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Solid waste produced (tons) | tons | 9186 | 8957 | 89 |
| Solid waste produced in wholly-owned buildings | tons | 8957 | 70 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| 2018 indirect carbon emission reduction | tCO2e | 61552.3 | 71 | |
| Carbon emission deduction via technology-powered services | tCO2e | 61552.3 | 5 | |
| More reduction compared to 2017 | 18.7% | 71 | ||
| Total indirect reduction of carbon emissions - Lufax | tCO2e | 5757.3 | 1013.8 | 71 |
| Total indirect reduction of carbon emissions - Ping An Annuity | tCO2e | 3036.6 | 3491.6 | 71 |
| Total indirect reduction of carbon emissions - Ping An Bank | tCO2e | 6899.2 | 10165.7 | 71 |
| Total indirect reduction of carbon emissions - Ping An Health | tCO2e | 233.5 | 676.4 | 71 |
| Total indirect reduction of carbon emissions - Ping An Life | tCO2e | 10586.4 | 12338.3 | 71 |
| Total indirect reduction of carbon emissions - Ping An Property & Casualty | tCO2e | 25518.3 | 33191.1 | 71 |
| Total indirect reduction of carbon emissions - Puhui Financial | tCO2e | 640.1 | 547.4 | 71 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Paper saved E-bill (tons) | tons | 2886 | 4173 | 6532 | 89 |
| Paper saved E-letter (tons) | tons | 669 | 935 | 1283 | 89 |
| Paper saved MIT mobile business model (tons) | tons | 1082 | 1384 | 1354 | 89 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption (kWh) | kWh | 87104719 | 134879626 | 155732102 | 89 |
| Per-capita electricity consumption (kWh) | kWh | 1897.95 | 2674.86 | 2893.8 | 89 |
| Ping An buses used during Safe Journey, Bring Love Home event | buses | 200 | 80 | ||
| Total natural gas consumption (cubic meters) | cubic meters | 2474140 | 1916793 | 2031541 | 89 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Per-capita water consumption per person (tons) | tons | 17.79 | 21.85 | 21.82 | 89 |
| Total water consumption (tons) | tons | 816488 | 1101832 | 1173304 | 89 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Age - 30 to 50 | 30.8% | 37.62% | 39.86% | 86 | |
| Age - Above 50 | 1.2% | 1.33% | 1.39% | 86 | |
| Age - Under 30 | 68.0% | 61.05% | 58.75% | 86 | |
| Annual amount of employee remuneration | RMB billion | 49.902 | 5 | ||
| Annual amount of enterprise annuity payment | RMB million | 643 | 5 | ||
| Average working experience of female employees in Ping An Group | years | 4.04 | 86 | ||
| Average working experience of male employees in Ping An Group | years | 3.46 | 86 | ||
| Board of Directors - Age - 30 to 50 Percentage | % | 20 | 84 | ||
| Board of Directors - Age - Above 50 Percentage | % | 80 | 84 | ||
| Board of Directors - Executive Director(s) Headcount | 6 | 84 | |||
| Board of Directors - Gender - Female Percentage | % | 6.66 | 84 | ||
| Board of Directors - Gender - Male Percentage | % | 93.33 | 84 | ||
| Board of Directors - Independent Non-executive Director(s) Headcount | 5 | 84 | |||
| Board of Directors - Non-executive Director(s) Headcount | 4 | 84 | |||
| Board of Directors - Total Headcount | 15 | 84 | |||
| Ethnicity - Han Chinese | 95.3% | 95.05% | 94.91% | 86 | |
| Ethnicity - Others | 4.7% | 4.95% | 5.09% | 86 | |
| Gender - Female | 49.4% | 49.67% | 48.64% | 86 | |
| Gender - Male | 50.6% | 50.33% | 51.36% | 86 | |
| Number of Board of Director members | 15 | 86 | |||
| Number of Ping An Life's agents | million | 1.417 | 81 | ||
| Number of ethnic minority employees | 19598 | 86 | |||
| Number of ethnic minority senior management | 100 | 86 | |||
| Number of executive management | 14 | 86 | |||
| Number of female director | 1 | 86 | |||
| Number of female executive management | 3 | 86 | |||
| Number of female senior management | 685 | 86 | |||
| Number of in-house staff | thousand people | 137.5 | 149 | 167.4 | 86 |
| Number of informal employee | 13351 | 86 | |||
| Number of regular employee | 363549 | 86 | |||
| Number of sales agents | thousand people | 181 | 192.7 | 209.5 | 86 |
| Number of senior management | 2694 | 86 | |||
| Overtime expenses (Ping An Group) | million RMB | 267.1472 | 217.0497 | 328.6698 | 87 |
| Overtime expenses as % of labor costs (Ping An Group) | % | 0.95 | 0.28 | 0.4 | 87 |
| Percentage of informal employee | 3.54% | 86 | |||
| Supervisory Committee - Age - 30 to 50 Percentage | % | 60 | 84 | ||
| Supervisory Committee - Age - Above 50 Percentage | % | 40 | 84 | ||
| Supervisory Committee - Employee Representative Supervisor(s) Headcount | 2 | 84 | |||
| Supervisory Committee - External Supervisor(s) Headcount | 2 | 84 | |||
| Supervisory Committee - Gender - Female Percentage | % | 20 | 84 | ||
| Supervisory Committee - Gender - Male Percentage | % | 80 | 84 | ||
| Supervisory Committee - Shareholder Representative Supervisor(s) Headcount | 1 | 84 | |||
| Supervisory Committee - Total Headcount | 5 | 84 | |||
| Total annual payment for enterprise annuity scheme | billion RMB | 6.43 | 79 | ||
| Total assets | trillion RMB | 7.14 | 52 | ||
| Total enterprise annuity paid | million RMB | 643 | 66 | ||
| Total number of employees | thousand people | 318.6 | 342.6 | 376900 | 5, 86 |
| Total remuneration paid (million RMB) | million RMB | 45542 | 48271 | 49902 | 83 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Accident assessments handled within 10 minutes | percent | over 90 | 78 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Annual activity rate (Zhi Niao learning platform) | % | 81.73 | 99.8 | 98.4 | 87 |
| Annual investment in trainings | RMB billion | 1.046 | 5 | ||
| Approval time shortened by micro-expression recognition technology | from 5 days to 2 hours | 78 | |||
| Attendance of online trainings (Zhi Niao learning platform) | million | Not available | 1.345 | 1.695 | 87 |
| Coverage rate in information security training for employees | 100% | 26 | |||
| Highest monthly activity rate (Zhi Niao learning platform) | % | 94.8 | 95 | 97.6 | 87 |
| Number of employees participated in enterprise annuity scheme | employees | 184462 | 79 | ||
| Number of employees participated in the enterprise annuity scheme | 184450 | 66 | |||
| Number of online examinations taken (Zhi Niao learning platform) | million times | 0.446 | 19.71 | 19.9385 | 87 |
| Number of playback (Zhi Niao learning platform) | million times | 48.665 | 123.3442 | 11139.5 | 87 |
| Number of valid users (Zhi Niao learning platform) | million | 1.42 | 4.013 | 5.9714 | 87 |
| Total attendance of training sessions | 44441 | 79 | |||
| Total number of courses (Zhi Niao learning platform) | thousand | 70 | 180 | 209 | 87 |
| Total number of village doctors trained | 5702 | 5 | |||
| Total number of village teachers trained | 4819 | 5 | |||
| Village doctors trained under Village Doctor Program | doctors | 5702 | 80 | ||
| Village teachers trained under 4+1 Smart Primary Schools Comprehensive Construction Scheme | teachers | 4819 | 80 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Average hours of training per agent | hours | 62.1 | 81 | ||
| Average of training hours per employee | hours | 9.21 | 63 | ||
| Average per-capita hours of face-to-face and online trainings | hours | 9.21 | 5 | ||
| Average training hours per employee | hours | 9.21 | 79 | ||
| Number of hours online training (Zhi Niao learning platform) | million hours | 0.333 | 1.924 | 2.819 | 87 |
| Total investment for comprehensive trainings | billion RMB | 1.482 | 81 | ||
| Total resources allocated for training and development | billion RMB | 1.046 | 63, 79 | ||
| Total training hours | hours, million | 3340000 | 63, 79 |
Number of suppliers by geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Centralized procurement completed | billion RMB | 7.441 | 81 | ||
| Centralized procurement ratio target | % | 15 | 81 | ||
| Centralized procurement target | billion RMB | 6.5 | 81 | ||
| Number of cooperative Ping An Life agents (million) | million | 1.11 | 1.386 | 1.417 | 91 |
| Number of cooperative institutions (OneConnect) | 1800 | 2358 | 3289 | 91 | |
| Number of suppliers | 988 | 1397 | 1467 | 91 | |
| OneConnect partners | 3289 | 5 | |||
| Scale of issuance (RMB billion) - BYD Co., Ltd. Green Corporate Bond 2018 Phase 1 | RMB billion | 1 | 48 | ||
| Scale of issuance (RMB billion) - Beijing Infrastructure Investment Co., Ltd. public extendable green corporate bond (Phase 1) (Type 1) | RMB billion | 10 | 48 | ||
| Scale of issuance (RMB billion) - China Suntien Green Energy Corporation Limited public extendable green corporate bond | RMB billion | 1.5 | 48 | ||
| Scale of issuance (RMB billion) - Ping An Financial Leasing Green Asset Project 2018 Phase 1 | RMB billion | 0.797 | 48 | ||
| Scale of issuance (RMB billion) - Ping An International Financial Leasing Co., Ltd. non-public green corporate bond (Phase 1) | RMB billion | 2 | 48 | ||
| Scale of issuance (RMB billion) - Ping An Securities - Huadian Fuxin's Green Asset Support Project on Renewable Energy Feed-in Tariff | RMB billion | 0.84 | 48 | ||
| Scale of issuance (RMB billion) - Ping An Securities - Huadian Fuxin's Green Asset Support Project: Supplementary Subsidy On Renewable Energy Pricing No. | RMB billion | 0.797 | 48 | ||
| Scale of issuance (RMB billion) - Ping An Securities - State Power Investment Corporation Asset Support Project: Supplementary Subsidy on Renewable Energy Pricing No.1 | RMB billion | 1.801 | 48 | ||
| Scale of issuance (RMB billion) - Wuhan Metro Group Co., Ltd Green Corporate Bond 2018 Phase 2 | RMB billion | 5.63 | 48 | ||
| Total amount of centralized procurement | RMB billion | 7.441 | 5 | ||
| Total assets (million RMB) | million RMB | 5576903 | 6493075 | 7142960 | 83 |
| Total number of suppliers | 1467 | 5 |
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 | 2018 | Report Pages |
|---|---|---|---|
| Green credits loan balance by Ping An Bank | billion RMB | 26.284 | 49 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Overall customer satisfaction of Ping An Life | 95.3% | 5 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Auto claims payment ratio of Ping An Property & Casualty | 99.93% | 5 | |||
| Credit Card Customer satisfaction rate | 83 | 84 | 87 | 85 | |
| Credit Card NPS (%) | % | 15 | 20 | 30 | 85 |
| Cumulative prescriptions assessed by AI prescription examination engine | million | 18 | 78 | ||
| Group NPS | 41% | 5 | |||
| NPS (Net Promoter Score) | percent | 41 | 78 | ||
| NPS improvement | percent | 5 | 78 | ||
| NPS survey response rate | percent | 32 | 78 | ||
| NPS survey responses | million | 13 | 78 | ||
| NPS survey triggered | million | 41 | 78 | ||
| Number of verified complaints | 290 | 83 | |||
| Ping An Annuity Customer satisfaction (5-point scale) | 4.62 | 4.64 | 4.67 | 85 | |
| Ping An Annuity NPS Rate (%) | % | 44 | 51 | 60 | 85 |
| Ping An Bank NPS (%) | % | 23 | 31 | 44 | 85 |
| Ping An Good Doctor Daily praise rate (%) | % | 98.69 | 99.04 | 98.88 | 85 |
| Ping An Good Doctor NPS (%) | % | 52 | 54 | 61 | 85 |
| Ping An Health 4-hour response rate of reservation services (%) | % | 95.15 | 98.25 | 98.69 | 85 |
| Ping An Health NPS (%) | % | 22 | 24 | 40 | 85 |
| Ping An Health Rolling complaint rate in Dec (%) | % | 0.02 | 0.01 | 0.01 | 85 |
| Ping An Life NPS (%) | % | 21 | 27 | 33 | 85 |
| Ping An Life Overall Customer satisfaction (%) | % | 93.5 | 94.2 | 95.3 | 85 |
| Ping An Life Rolling complaint rate in Dec (%) | % | 0.04 | 0.04 | 0.04 | 85 |
| Ping An Property & Casualty Auto claims payment ratio (%) | % | 99.85 | 99.58 | 99.93 | 85 |
| Ping An Property & Casualty NPS (%) | % | 47 | 48 | 56 | 85 |
| Ping An Property & Casualty Per-case turnaround time for auto insurance claims under RMB10000 | 14.42 | 12.23 | 13.1 | 85 | |
| Ping An Securities Customer satisfaction of call center services (%) | % | 98.06 | 98.94 | 98.32 | 85 |
| Ping An Securities NPS (%) | % | 3.5 | 9 | 14 | 85 |
| Ping An Trust Call-in rate of customer service | 96.73 | 98 | 97.42 | 85 | |
| Ping An Trust NPS* (%) | % | 51 | 38 | 19 | 85 |
| Prescriptions assessed by AI prescription examination engine per day | prescriptions per day | 150000 | 78 | ||
| Puhui Financial Complaint response rate (%) | % | 52 | 74 | 94 | 85 |
| Puhui Financial NPS (%) | % | 21 | 30 | 32 | 85 |
| Verification rate of complaints received (%) | % | 100 | 83 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Hospitals connected to AI prescription examination engine | hospitals | 168 | 78 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Information security management coverage of subsidiaries | 100% | 26 | |
| Loan amount processed by micro-expression recognition technology | billion RMB | 500 | 78 |
| Total average score for information security assessments of subsidiaries | 94.3 | 26 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Solvency adequacy ratio of the Group (%) | % | 210 | 214.9 | 216.4 | 83 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Coverage rate of anti-corruption education (%) | % | 100 | 100 | 100 | 83 |
| Coverage rate of promotional events on compliance and internal control (%) | % | 100 | 83 | ||
| Rectification rate of issues identified in annual audit (%) | % | 90 | 83 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Attendance of anti-corruption trainings (million) | million | 1.213 | 83 | ||
| Coverage rate of trainings for risk management employees (%) | % | 100 | 83 | ||
| Coverage rate of trainings on anti-money laundering and protection of trade secret (%) | % | 100 | 100 | 100 | 83 |
| Credit losses cut by micro-expression recognition technology | percent | 6 | 78 | ||
| Numbers of anti-corruption trainings | 2000 | 83 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Amount of philanthropy investments | RMB million | 450 | 5 | ||
| Migrant workers carried back to home towns by Ping An buses during Safe Journey, Bring Love Home event | migrant workers | 10000 | 80 | ||
| Migrant workers sent home | 10000 | 69 | |||
| Mobile health checks under Village Doctor Program | mobile health checks | 109 | 80 | ||
| Number of cities covered in Ping An Health's business operations | 208 | Over 200 | 216 | 88 | |
| People benefited from core agricultural enterprise loan, hydro power support, poverty alleviation loan and insurance schemes | people | 330000 | 80 | ||
| People benefited from health checks under Village Doctor Program | people | 12831 | 80 | ||
| People benefited from voluntary medical examinations under Village Doctor Program | people | 6440 | 80 | ||
| Poverty-stricken households benefited from core agricultural enterprise loan, hydro power support, poverty alleviation loan and insurance schemes | households | 15000 | 80 | ||
| Total number of rural clinics upgraded | 400 | 5 | |||
| Total number of students in Ping An Smart Primary Schools | students | 230000 | 80 | ||
| Total number of village schools constructed | 391 | 5 | |||
| Village clinics upgraded under Village Doctor Program | clinics | 400 | 80 | ||
| Village primary schools upgraded under 4+1 Smart Primary Schools Comprehensive Construction Scheme | schools | 391 | 80 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Assisted poor households | Over 15000 | 5 | |||
| Funds distributed for core agricultural enterprise loan, hydro power support, poverty alleviation loan and insurance schemes | billion RMB | 5.394 | 80 | ||
| Number of poor people supported | 330000 | 5 | |||
| Percentage of total loans for SMEs at Ping An Bank | % | 15.79 | 14.05 | 15.24 | 5, 88 |
| Percentage of total loans for SMEs at Puhui Financial | % | 40.3 | 44.2 | 50% | 5, 88 |
| Registered volunteers at Ping An Volunteer Association | 690000 | 5 | |||
| Total green credits granted by Ping An Bank | billion RMB | 62.693 | 49 | ||
| Total income (million RMB) | million RMB | 712453 | 890882 | 976832 | 83 |
| Total insurance provided under agriculture insurance by Ping An Property & Casualty | billion RMB | 121.5 | 31 | ||
| Total poverty alleviation fund granted | RMB billion | 5.394 | 5 | ||
| Total tax paid (million RMB) | million RMB | 79527 | 99352 | 121324 | 83 |
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 | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 3774 | ||
| Indirect Energy Emissions (Scope 2) | tCO2e | 123860 | ||
| Total GHG Emissions | tCO2e | 84860 | 172981 | 197904 |
| Total GHG Emissions Intensity (By Employee) | tCO2e | 1.85 | 3.43 | 3.68 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 453477 |
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 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | tons | 9186 | 8957 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | 18.7 |
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 | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Grid Electricity Consumption | kWh | 87104719 | 134879626 | 155732102 |
| Natural Gas Consumption | cubic meters | 2474140 | 1916793 | 2031541 |
| Purchased Electricity | kWh | 87104719 | 134879626 | 155732102 |
| Total Indirect Energy Consumption | kWh | 87104719 | 134879626 | 155732102 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Water Consumption | tons | 816488 | 1101832 | 1173304 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Senior Management Employees | people | 2694 | ||
| Number of Senior Management Employees (Female) | people | 685 | ||
| Number of Total Employees | people | 318600 | 342600 | 376900 |
| Percentage of Employees Aged 30-50 | % | 30.8 | 37.62 | 39.86 |
| Percentage of Employees Aged Above 50 | % | 1.2 | 1.33 | 1.39 |
| Percentage of Employees Aged Below 30 | % | 68 | 61.05 | 58.75 |
| Percentage of Female Employees | % | 49.4 | 49.67 | 48.64 |
| Percentage of Male Employees | % | 50.6 | 50.33 | 51.36 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Trained Executive Employees | % | 10.95 |
| Percentage of Trained Middle Management | % | 25.45 |
| Percentage of Trained Senior Management | % | 48.25 |
| Total Cost of Training | RMB billion | 1.046 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Average Training Hours per Employee | hours | 62.1 | ||
| Total Training Hours | hours | 333000 | 1924000 | 3340000 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Total Suppliers | 988 | 1397 | 1467 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Complaints Handling Rate | % | 100 |
| Total Number of Customer Complaints | 290 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| 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 | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 100 | 100 |
| Number of Anti-corruption Training Session | 2000 | |||
| Number of Attendance for Anti-corruption Training | million | 1.213 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Registered Volunteers | 690000 |