2019 CORPORATE SOCIAL RESPONSIBILITY 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 |
|---|---|---|---|---|---|
| GHG emissions per capita | tCO2e/person | 2.04 | 7 | ||
| Greenhouse gas emissions, Electricity emissions (tCO2e) | tCO2e | 6873.47 | 7102.12 | 6953.04 | 26 |
| Greenhouse gas emissions, Gasoline consumption emissions (tCO2e) | tCO2e | 714.4 | 784.16 | 747.56 | 26 |
| Greenhouse gas emissions, Natural gas combustion emissions (tCO2e) | tCO2e | 239.44 | 332.06 | 322.01 | 26 |
| Greenhouse gas emissions, Per capita emissions (tCO2e/person) | tCO2e/person | 2.36 | 2.15 | 2.04 | 26 |
| Greenhouse gas emissions, Total emissions (tCO2e) | tCO2e | 7827.31 | 8218.34 | 8022.61 | 26 |
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 (kWh), Headquarters of PICC | kWh | 3530480 | 3588021 | 3602587 | 26 |
| Electricity consumption (kWh), PICC Financial Services | kWh | 95747 | 96741 | 129410 | 26 |
| Electricity consumption (kWh), PICC Health | kWh | 320122 | 471380 | 577901 | 26 |
| Electricity consumption (kWh), PICC Hong Kong | kWh | 26393 | 26393 | 11275 | 26 |
| Electricity consumption (kWh), PICC Life | kWh | 1578822 | 1765866 | 1771196 | 26 |
| Electricity consumption (kWh), PICC P&C | kWh | 5756499 | 5274856 | 6528440 | 26 |
| Electricity consumption per capita (kWh/person), Headquarters of PICC | kWh/person | 2084.61 | 2583.47 | 2834.74 | 26 |
| Electricity consumption per capita (kWh/person), PICC Health | kWh/person | 1175.6 | 2442.67 | 1294.11 | 26 |
| Electricity consumption per capita (kWh/person), PICC Life | kWh/person | 1066.27 | 1766.07 | 26 | |
| Electricity consumption per capita (kWh/person), PICC P&C | kWh/person | 1083.61 | 1065.86 | 1058.85 | 26 |
| Gasoline consumption of official vehicles at some company headquarters (Liters), PICC Health | Liters | 43133 | 32392 | 27562 | 26 |
| Gasoline consumption of official vehicles at some company headquarters (Liters), PICC Life | Liters | 22538 | 20105 | 20801 | 26 |
| Gasoline consumption of official vehicles at some company headquarters (Liters), PICC P&C | Liters | 23774 | 25964 | 26920 | 26 |
| Natural gas consumption (m³), Headquarters of PICC | m³ | 61654 | 26 | ||
| Natural gas consumption (m³), PICC Life | m³ | 26706 | 26 | ||
| Natural gas consumption (m³), PICC P&C | m³ | 38343 | 26 | ||
| Natural gas consumption per capita (m³/person), Headquarters of PICC | m³/person | 47.56 | 26 | ||
| Natural gas consumption per capita (m³/person), PICC P&C | m³/person | 42.36 | 26 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Water consumption (tons), Headquarters of PICC | tons | 9629 | 10260 | 15614 | 26 |
| Water consumption (tons), PICC Health | tons | 908 | 908 | 3660 | 26 |
| Water consumption (tons), PICC Life | tons | 3380 | 4739 | 5075 | 26 |
| Water consumption (tons), PICC P&C | tons | 21288 | 22371 | 21373 | 26 |
| Water consumption per capita (tons/person), Headquarters of PICC | tons/person | 11.74 | 8.9 | 19.12 | 26 |
| Water consumption per capita (tons/person), PICC Health | tons/person | 10.08 | 16.63 | 8.08 | 26 |
| Water consumption per capita (tons/person), PICC Life | tons/person | 8.26 | 7.95 | 7.89 | 26 |
| Water consumption per capita (tons/person), PICC P&C | tons/person | 8.08 | 7.12 | 8.46 | 26 |
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 |
|---|---|---|---|
| Environmental Pollution Liability Insurance provided | billion RMB | 13.87 | 7 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Enrolment rate of contract workers in trade unions | 100% | 23 | |||
| Number of National Financial May 1st Female Pioneers | 3 | 24 | |||
| Number of National Financial May 1st Labor Medals recipients | 16 | 24 | |||
| Number of National May 1st Labor Medal recipients | 1 | 24 | |||
| Number of dispatching employees | Unit: Person | 47733 | 18156 | 16716 | 23 |
| Number of employees | employees | 199000 | 7 | ||
| Number of employees entitled to childcare leave, Female | 1515 | 3184 | 24 | ||
| Number of employees on the job 12 months after returning from childcare leave, Female | 235 | 225 | 24 | ||
| Number of employees taking childcare leave of the current year, Female | 273 | 273 | 24 | ||
| Number of employees who actually returned from childcare leave, Female | 245 | 239 | 24 | ||
| Number of employees who should return from childcare leave, Female | 245 | 239 | 24 | ||
| Number of female on-the-job employees | Unit: Person | 89865 | 98376 | 97629 | 23 |
| Number of male on-the-job employees | Unit: Person | 94364 | 100081 | 101322 | 23 |
| Number of newly recruited on-the-job employees | Unit: Person | 30491 | 27942 | 12742 | 23 |
| Number of on-the-job employees | Unit: Person | 188229 | 198457 | 198951 | 23 |
| Number of on-the-job employees aged 31–50 | Unit: Person | 104175 | 112174 | 117112 | 23 |
| Number of on-the-job employees aged <31 | Unit: Person | 52432 | 67220 | 61884 | 23 |
| Number of on-the-job employees aged >50 | Unit: Person | 31522 | 19063 | 19555 | 23 |
| Number of on-the-job employees with bachelor's degree | Unit: Person | 69978 | 80761 | 112284 | 23 |
| Number of on-the-job employees with college diploma | Unit: Person | 66868 | 66858 | 68398 | 23 |
| Number of on-the-job employees with master's degree and above | Unit: Person | 7905 | 8720 | 9363 | 23 |
| Number of on-the-job employees with other academic degrees | Unit: Person | 16059 | 15118 | 13370 | 23 |
| Number of retired on-the-job employees | Unit: Person | 1942 | 2065 | 2120 | 23 |
| Number of sales employees | Unit: Person | 818456 | 816256 | 870032 | 23 |
| Number of trade union organizations at all levels | organizations | 2500 | 23 | ||
| Total Assets | RMB100 million | 9879.73 | 10436.96 | 11527.71 | 6 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employment rate | 16.24% | 14.08% | 8.67% | 23 | |
| Number of dismissed on-the-job employees | Unit: Person | 294 | 347 | 516 | 23 |
| Number of labor dispute mediation organizations in labor unions | organizations | 600 | 23 | ||
| Number of other on-the-job employees (change) | Unit: Person | 1516 | 1785 | 2021 | 23 |
| Number of resigned on-the-job employees | Unit: Person | 11594 | 12976 | 12190 | 23 |
| Retention rate employees after childcare leave, Female (%) | % | 96 | 94 | 24 | |
| Return rate of employees after childcare leave, Female (%) | % | 100 | 100 | 24 | |
| Turnover rate | 7.30% | 7.75% | 7.41% | 23 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Policy medical insurance business coverage | million people | 380 | 7 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| ROAE | % | 12.6 | 9.4 | 13.9 | 6 |
| ROI | % | 5.1 | 4.9 | 5.4 | 6 |
Description of measures to review employment practices to avoid child and forced labour.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of grassroots level labor dispute mediation organizations | organizations | 211 | 23 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| SMEs served (small, medium, and micro enterprises) | 250000 | 7 |
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 |
|---|---|---|---|
| Strategic cooperation agreements signed | institutions | 23 | 7 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| EPS | RMB | 0.39 | 0.32 | 0.51 | 6 |
| Net Assets | RMB100 million | 1489.59 | 2054.26 | 2542.48 | 6 |
| Online customers served | million | 40 | 7 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Percentage of auto insurance customers online | % | 59.5 | 7 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Downloads of electronic copies of policies, PICC Health | 10000 policies | 1193 | 1157 | 2417 | 26 |
| Downloads of electronic copies of policies, PICC Life | 10000 policies | 1826 | 1926 | 2294 | 26 |
| Downloads of electronic copies of policies, PICC P&C | 10000 policies | 1405 | 3801 | 12553 | 26 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Comprehensive Solvency Adequacy Ratio | 299% | 309% | 300% | 6 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| CAPC launched in cities | cities | 330 | 7 | ||
| Insurance Business Income | RMB100 million | 4644.91 | 4997.38 | 5510.51 | 6 |
| Insurance amount for SMEs | trillion RMB | 7.8 | 7 | ||
| Point-to-point counties with all poor let out of poverty | All | 7 | |||
| Risk protection provided to farmers | billion RMB | 8210 | 7 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| CAPC served people | million people | 3 | 7 | ||
| Funds to targeted poverty alleviation regions | billion RMB | 3.8469 | 7 | ||
| Number of farmers protected | million | 88.7 | 7 | ||
| Total Investment Assets | RMB100 million | 8534.7 | 8594.62 | 9732.12 | 6 |
| Total insurance amount | billion RMB | 9352 | 7 | ||
| Total insurance claims | billion RMB | 2784.38 | 7 |
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 |
|---|---|---|---|---|
| GHG Emissions from Natural Gas | tCO2e | 239.44 | 332.06 | 322.01 |
| GHG Emissions from Purchased Electricity | tCO2e | 6873.47 | 7102.12 | 6953.04 |
| Mobile Combustion Emissions | tCO2e | 714.4 | 784.16 | 747.56 |
| Total GHG Emissions | tCO2e | 7827.31 | 8218.34 | 8022.61 |
| Total GHG Emissions Intensity (By Employee) | tCO2e/person | 2.36 | 2.15 | 2.04 |
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 |
|---|---|---|---|---|
| Gasoline Consumption | Liters | 89445 | 78461 | 75283 |
| Grid Electricity Consumption | kWh | 11236963 | 11538257 | 12693709 |
| Natural Gas Consumption | m³ | 26706 | 99997 | |
| Purchased Electricity | kWh | 11236963 | 11538257 | 12693709 |
| Total Indirect Energy Consumption | kWh | 11236963 | 11538257 | 12693709 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption | tons | 35205 | 38378 | 45622 |
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 Bachelor's Degree Employees | Person | 69978 | 80761 | 112284 |
| Number of Employees Aged 30-50 | Person | 104175 | 112174 | 117112 |
| Number of Employees Aged Above 50 | Person | 31522 | 19063 | 19555 |
| Number of Employees Aged Below 30 | Person | 52432 | 67220 | 61884 |
| Number of Female Employees | Person | 89865 | 98376 | 97629 |
| Number of Male Employees | Person | 94364 | 100081 | 101322 |
| Number of Master's Degree Employees | Person | 7905 | 8720 | 9363 |
| Number of New Employees | Person | 30491 | 27942 | 12742 |
| Number of Temporary Workers | Person | 47733 | 18156 | 16716 |
| Number of Total Employees | Person | 188229 | 198457 | 199000 |
| Percentage of Bachelor's Degree Employees | % | 37.19 | 40.72 | 56.44 |
| Percentage of Employees Aged 30-50 | % | 55.36 | 56.53 | 58.86 |
| Percentage of Employees Aged Above 50 | % | 16.75 | 9.61 | 9.83 |
| Percentage of Employees Aged Below 30 | % | 27.86 | 33.88 | 31.1 |
| Percentage of Female Employees | % | 47.76 | 49.56 | 49.08 |
| Percentage of Male Employees | % | 50.15 | 50.44 | 50.92 |
| Percentage of Master's Degree Employees | % | 4.2 | 4.39 | 4.71 |
| Percentage of Temporary Workers | % | 25.37 | 9.15 | 8.4 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 96 | 94 | |
| Turnover Rate of Total Employees | % | 7.3 | 7.75 | 7.41 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hour |
| Average Training Hours (Hong Kong Employees) | hour |
| Average Training Hours (Male) | hour |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | billion RMB | 3.8469 |