2020 CHINA PACIFIC INSURANCE ESG REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
NOx emissions (Pollutant emission density) | Grams/100 million yuan | 140.04 | 8402.46 | 5020.49 | 29 |
NOx emissions (Pollutant emissions) | Grams | 591.228 | 35473.692 | 21195.603 | 29 |
Number of company vehicles purchased with China 6 standards | vehicles | 600 | 27 | ||
Particulate matter emissions (Pollutant emission density) | Grams/100 million yuan | 15.06 | 903.79 | 570.94 | 29 |
Particulate matter emissions (Pollutant emissions) | Grams | 53.979 | 3202.71 | 2023.195 | 29 |
SO₂ emissions (Pollutant emission density) | Grams/100 million yuan | 1.89 | 113.4 | 718.64 | 29 |
SO₂ emissions (Pollutant emissions) | Grams | 7285.6 | 437135.4 | 303159.7 | 29 |
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 |
---|---|---|---|---|---|
Direct emission (Greenhouse gas emission intensity) | Tons/100 million yuan CO₂ equivalent | 0.15 | 0.87 | 1.01 | 29 |
Direct emission (Greenhouse gas emissions) | tons of CO₂ equivalent | 647.29 | 3691.76 | 4254.94 | 29 |
Indirect emission (Greenhouse gas emission intensity) | Tons/100 million yuan CO₂ equivalent | 14.72 | 37.86 | 26.6 | 29 |
Indirect emission (Greenhouse gas emissions) | tons of CO₂ equivalent | 56740.65 | 145932.52 | 102555.93 | 29 |
Other indirect emission (Greenhouse gas emission intensity) | Tons/100 million yuan CO₂ equivalent | 0.99 | 4.93 | 2.67 | 29 |
Other indirect emission (Greenhouse gas emissions) | tons of CO₂ equivalent | 3492.03 | 17460.15 | 9446.25 | 29 |
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 |
---|---|---|---|---|---|
Amount of recycled electronic waste | pieces | 1335 | 2873 | 52190 | 29 |
Office paper usage | Kilos | 28100 | 578916.71 | 357768.54 | 30 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Amount of office paper recycled | Kilos | 12394 | 150380.5 | 76640.34 | 30 |
Paper-saving performance: Annual number of e-policies | 10000 | 12175.31 | 21881.23 | 43524.01 | 30 |
Paper-saving performance: Electronic invoice | 10000 | 4172.1 | 2595.64 | 3285.08 | 30 |
Paper-saving performance: Electronic issuing | 10000 | 2878.14 | 3537.72 | 4019.14 | 30 |
Paper-saving performance: Electronic mails subscription rate | % | 67 | 75 | 81 | 30 |
Paper-saving performance: Electronic signatures | 10000 | 10585.35 | 10522.2 | 18048.11 | 30 |
Paper-saving performance: Mobile POS of Life business | % | 71 | 87 | 90 | 30 |
Paper-saving performance: Mobile claims settlement | 10000 | 532 | 708.54 | 643.9 | 30 |
Paper-saving performance: Policies obtained through smart phones | 10000 | 2401.16 | 5291.89 | 5434.99 | 30 |
Paper-saving performance: SMS notice | 10000 | 58485.85 | 76380.9 | 94275.47 | 30 |
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 |
---|---|---|---|---|---|
Data center power consumption (Chengdu Data Center) | 10000 KWHs | 2652 | 3142 | 3371 | 30 |
Data center power consumption (Luojiang Data Center) | 10000 KWHs | 211 | 1280 | 30 | |
Data center power consumption (Tianlin Road Data Center) | 10000 KWHs | 3038 | 3002 | 2880 | 30 |
Office building electricity consumption | KWHs | 11195819 | 177715122 | 102864519 | 30 |
Office building natural gas consumption | cubic meters | 295699 | 1686504 | 1943781 | 29 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Water consumption | tons | 135118 | 3075993 | 1418710 | 29 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Chengdu data center's PUE | 1.6 | 27 | |||
Data Center PUE (Chengdu Data Center) | 1.99 | 1.75 | 1.55 | 30 | |
Data Center PUE (Luojiang Data Center) | 2.48 | 1.6 | 30 | ||
Data Center PUE (Tianlin Road Data Center) | 1.73 | 1.74 | 1.7 | 30 | |
Office building electricity usage efficiency | KWH/100 million yuan | 3159.42 | 46101.22 | 24364.97 | 30 |
Office building natural gas usage efficiency | cubic meters/100 million yuan | 83.45 | 437.5 | 460.41 | 29 |
Water Consumption efficiency | tons/100 million yuan | 38.13 | 797.95 | 336.04 | 29 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Combined ratio | % | 98.4 | 98.4 | 99 | 37 |
Conference call | times | 871 | 682 | 732 | 30 |
Corporate annuity participation rate | % | 89.8 | 85.5 | 87.3 | 31 |
Disabled employees | persons | 1 | 104 | 139 | 31 |
Dispatched laborers | persons | 7125 | 6784 | 6796 | 31 |
Employees 30 years old or under | persons | 38972 | 44963 | 39360 | 31 |
Employees 31–40 years old | persons | 40262 | 45995 | 50242 | 31 |
Employees 41–50 years old (persons) | persons | 20005 | 20418 | 21447 | 32 |
Employees 51 years old or above (persons) | persons | 5074 | 5435 | 7070 | 32 |
Employees re-employed after retirement | persons | 404 | 427 | 383 | 31 |
Employees under the labor contract | persons | 96932 | 109600 | 110940 | 31 |
Enterprise annuity AuM | million | 77227 | 84329 | 90262 | 37 |
Enterprise annuity entrusted assets | million | 74501 | 90120 | 108938 | 37 |
Ethnic Han (persons) | persons | 98922 | 110588 | 112103 | 32 |
Ethnic minority (persons) | persons | 5347 | 6223 | 5943 | 32 |
Female employees (all employees) | persons | 55367 | 62022 | 62837 | 32 |
Female management (persons) | persons | 118 | 1871 | 1923 | 32 |
Foreign employees | persons | 73 | 31 | ||
Group embedded value | RMB million | 354363 | 385429 | 422182 | 5 |
Male employees (all employees) | persons | 41853 | 54789 | 55282 | 32 |
Male employees who returned to work from paternity leave (persons) | persons | 953 | 1139 | 1056 | 34 |
Male employees who took paternity leave (persons) | persons | 970 | 1148 | 1058 | 33 |
Male management (persons) | persons | 439 | 5152 | 5519 | 32 |
New business value | million | 27120 | 24597 | 17841 | 37 |
New employees of this year | persons | 11222 | 22237 | 14554 | 31 |
Number of employees by region - Central China | persons | 13543 | 31 | ||
Number of employees by region - East China | persons | 44649 | 31 | ||
Number of employees by region - North China | persons | 17171 | 31 | ||
Number of employees by region - North-east China | persons | 6890 | 31 | ||
Number of employees by region - North-west China | persons | 6905 | 31 | ||
Number of employees by region - South China | persons | 15007 | 31 | ||
Number of employees by region - South-west China | persons | 13954 | 31 | ||
Our minimum wage/ local minimum wage | % | 100%–480% | 31 | ||
Percentage of employees who retired | % | 0.84 | 0.69 | 0.78 | 32 |
Remuneration and benefits | million | 21733 | 24084 | 24388 | 37 |
The number of Group employees | 107141 | 111427 | 110940 | 5 | |
Total No. of Employees | persons | 104458 | 116811 | 118119 | 31 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Dismissed employees | Persons | 30 | 506 | 426 | 33 |
Dismissed female employees | Persons | 10 | 247 | 187 | 33 |
Dismissed male employees | Persons | 20 | 259 | 239 | 33 |
Employees who resigned | persons | 11601 | 21064 | 12485 | 32 |
Employees who retired | persons | 875 | 801 | 927 | 32 |
Female employees who resigned | persons | 5168 | 9271 | 5813 | 32 |
Female employees who returned to work from maternity leave (persons) | persons | 2218 | 2474 | 2340 | 33 |
Female employees who took maternity leave (persons) | persons | 2629 | 3253 | 2991 | 33 |
Male employees who resigned | persons | 6433 | 11793 | 6672 | 32 |
Percentage of dismissed employees | % | 0.03 | 0.43 | 0.36 | 33 |
Percentage of dismissed female employees | % | 0.02 | 0.4 | 0.3 | 33 |
Percentage of dismissed male employees | % | 0.05 | 0.47 | 0.43 | 33 |
Percentage of employees who resigned | % | 11.11 | 18.03 | 10.57 | 32 |
Percentage of female employees who resigned | % | 9.33 | 14.95 | 9.25 | 32 |
Percentage of male employees who resigned | % | 15.37 | 21.52 | 12.07 | 32 |
Staff turnover by age: 31–40 | Persons | 4972 | 33 | ||
Staff turnover by age: 41–50 | Persons | 781 | 33 | ||
Staff turnover by age: 51 and older | Persons | 840 | 33 | ||
Staff turnover by region: Central China | Persons | 1532 | 33 | ||
Staff turnover by region: East China | Persons | 4601 | 33 | ||
Staff turnover by region: North China | Persons | 1122 | 33 | ||
Staff turnover by region: North-east China | Persons | 2017 | 33 | ||
Staff turnover by region: North-west China | Persons | 760 | 33 | ||
Staff turnover by region: South China | Persons | 2900 | 33 | ||
Staff turnover by region: South-west China | Persons | 2235 | 33 | ||
Staff turnover rate by age: 31–40 | % | 9.9 | 33 | ||
Staff turnover rate by age: 41–50 | % | 3.64 | 33 | ||
Staff turnover rate by age: 51 and older | % | 11.88 | 33 | ||
Staff turnover rate by region: Central China | % | 11.31 | 33 | ||
Staff turnover rate by region: East China | % | 10.3 | 33 | ||
Staff turnover rate by region: North China | % | 6.53 | 33 | ||
Staff turnover rate by region: North-east China | % | 29.27 | 33 | ||
Staff turnover rate by region: North-west China | % | 11.01 | 33 | ||
Staff turnover rate by region: South China | % | 19.32 | 33 | ||
Staff turnover rate by region: South-west China | % | 16.02 | 33 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Occupational injury (persons) | 3 | 54 | 52 | 33 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Loss of working days due to occupational injury (days) | days | 132 | 2741 | 1994 | 33 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of trainees (female employees) | 110035 | 230334 | 510457 | 34 | |
Number of trainees (general employees) | 202923 | 382559 | 971283 | 34 | |
Number of trainees (male employees) | 97573 | 215975 | 548280 | 34 | |
Number of trainees (mid-management) | 28906 | 53865 | 78281 | 34 | |
Number of trainees (senior management) | 8084 | 9909 | 9173 | 34 | |
Total number of trainees | 240603 | 446333 | 1058737 | 34 | |
Video conference | times | 14836 | 16135 | 19393 | 30 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Average time of staff training (female employees) | hours | 37.3 | 42.5 | 37.4 | 34 |
Average time of staff training (general employees) | hours | 31.3 | 38.5 | 36.4 | 34 |
Average time of staff training (male employees) | hours | 34.1 | 38.1 | 38.2 | 34 |
Average time of staff training (mid-management) | hours | 44.3 | 42.4 | 55.6 | 34 |
Average time of staff training (senior management) | hours | 79.3 | 70.1 | 92.2 | 34 |
Total expenditure for staff training | 10000 yuan | 14234 | 7752.41 | 5686 | 34 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of domestic suppliers - Central China | number of domestic suppliers | 10 | 35 | ||
Number of domestic suppliers - East China | number of domestic suppliers | 386 | 35 | ||
Number of domestic suppliers - North China | number of domestic suppliers | 138 | 35 | ||
Number of domestic suppliers - North-east China | number of domestic suppliers | 2 | 35 | ||
Number of domestic suppliers - South China | number of domestic suppliers | 44 | 35 | ||
Number of domestic suppliers - South-west China | number of domestic suppliers | 15 | 35 | ||
Number of domestic suppliers - Total | number of domestic suppliers | 595 | 35 | ||
Number of foreign suppliers - CPIC Group (Total) | number | 11 | 7 | 5 | 35 |
Third-party AuM | million | 177891 | 194790 | 253227 | 37 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Compensation paid out for wildlife public liability insurance claims | million RMB | 21.13 | 27 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Auto insurance complaints (CPIC P/C) | % | 71 | 35 | ||
Average complaint processing time (CPIC Life) | days | 2.67 | 4.66 | 5.44 | 35 |
Call put-through rate (CPIC Life) | % | 99.46 | 99.11 | 99.76 | 35 |
Claims-related disputes (CPIC P/C) | % | 73 | 35 | ||
Closure rate of general complaints (CPIC Life) | % | 100 | 99.83 | 100 | 35 |
Closure rate of major complaints (CPIC Life) | % | 100 | 100 | 100 | 35 |
Complaints/100 million yuan of premium (CPIC Life) | Times/100 million yuan | 1.89 | 35 | ||
Complaints/100 million yuan of premium (CPIC P/C) | Times/100 million yuan | 2.04 | 35 | ||
Complaints/million customers (CPIC Life) | Times/million customers | 0.039 | 35 | ||
Complaints/ten thousand policies (CPIC Life) | Times/10000 policies | 0.22 | 35 | ||
Complaints/ten thousand policies (CPIC P/C) | Times/10000 policies | 0.01 | 35 | ||
Consumer complaints forwarded by regulator (CPIC Life) | Times | 3950 | 35 | ||
Consumer complaints forwarded by regulator (CPIC P/C) | Times | 2993 | 35 | ||
Group number of customers | 10000 | 12411.9 | 13455.8 | 14747.3 | 5 |
Life insurance premiums | million | 202414 | 212514 | 211952 | 37 |
Monthly average agent number | 10000 | 84.7 | 79 | 74.9 | 5 |
Non-auto insurance complaints (CPIC P/C) | % | 29 | 35 | ||
P&C insurance premiums | million | 117808 | 132979 | 147734 | 37 |
Percentage of calls answered within 20 seconds (CPIC Life) | % | 98.42 | 99.1 | 99.6 | 35 |
Sales dispute (CPIC Life) | % | 55.4 | 35 | ||
Sales dispute (CPIC P/C) | % | 27 | 35 | ||
Small amount claims settled within 5 days (CPIC Life) | % | 99.14 | 99.28 | 99.07 | 35 |
Small claims turnaround time (CPIC Life) | days | 0.28 | 0.21 | 0.21 | 35 |
Timely closure rate (CPIC Life) | % | 99.64 | 99.92 | 100 | 35 |
Turnaround time and settlement rate of consumer complaints (CPIC Life) | % | 100 | 35 | ||
Turnaround time and settlement rate of consumer complaints (CPIC P/C) | % | 100 | 35 | ||
Wildlife public liability insurance claims settled | claims | 3863 | 27 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Service satisfaction rate for incoming calls (CPIC Life) | % | 80.1 | 94.76 | 96.29 | 35 |
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 |
---|---|---|---|---|---|
Total tax paid | million | 14242 | 12227 | 11811 | 37 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Donation and sponsorship | million | 26 | 50 | 75 | 37 |
Group net assets | RMB million | 149576 | 178427 | 215224 | 5 |
Group net profit attributable to equity holders of the parent | RMB million | 18019 | 27741 | 24584 | 5 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | Grams | 53.979 | 3202.71 | 2023.195 |
NOₓ Emission Intensity (By Revenue) | Grams/100 million yuan | 140.04 | 8402.46 | 5020.49 |
NOₓ Emissions | Grams | 591.228 | 35473.692 | 21195.603 |
PM Emission Intensity (By Revenue) | Grams/100 million yuan | 15.06 | 903.79 | 570.94 |
SOₓ Emission Intensity (By Revenue) | Grams/100 million yuan | 1.89 | 113.4 | 718.64 |
SOₓ Emissions | Grams | 7285.6 | 437135.4 | 303159.7 |
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 | 2018 | 2019 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tons of CO₂ equivalent | 647.29 | 3691.76 | 4254.94 |
Indirect Energy Emissions (Scope 2) | tons of CO₂ equivalent | 56740.65 | 145932.52 | 102555.93 |
Scope 1 GHG Emissions Intensity (By Revenue) | Tons/100 million yuan CO₂ equivalent | 0.15 | 0.87 | 1.01 |
Scope 2 GHG Emissions Intensity (By Revenue) | Tons/100 million yuan CO₂ equivalent | 14.72 | 37.86 | 26.6 |
Scope 3 GHG Emissions Intensity (By Revenue) | Tons/100 million yuan CO₂ equivalent | 0.99 | 4.93 | 2.67 |
Total GHG Emissions | tons of CO₂ equivalent | 60879.97 | 167084.43 | 116257.12 |
Total GHG Emissions Intensity (By Revenue) | Tons/100 million yuan CO₂ equivalent | 15.860000000000001 | 43.66 | 30.28 |
Total Other Indirect Energy Emissions (Scope 3) | tons of CO₂ equivalent | 3492.03 | 17460.15 | 9446.25 |
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 (Electronic Waste) | pieces | 1335 | 2873 | 52190 |
Non-Hazardous Waste Recycled | Kilos | 12394 | 150380.5 | 76640.34 |
Paper Waste | Kilos | 28100 | 578916.71 | 357768.54 |
Recycling Rate of Non-Hazardous Waste | percent | 44.1 | 25.97 | 21.42 |
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 |
---|---|---|---|---|
Natural Gas Consumption | cubic meters | 295699 | 1686504 | 1943781 |
Purchased Electricity | KWHs | 26520000 | 31420000 | 33710000 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Water Consumption | tons | 135118 | 3075993 | 1418710 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Office Electricity Consumption Reduction Compared to Last Year | KWH/100 million yuan | -42941.8 | -21736.25 |
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 | 2019 | 2020 |
---|---|---|---|
Water Consumption Reduction Compared to Last Year | tons/100 million yuan | -759.82 | 461.91 |
Water Consumption Reduction Percentage Compared to Last Year | % | -1992.36 | 57.89 |
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 Employees Aged 30-50 | persons | 60267 | 66413 | 71689 |
Number of Employees Aged Above 50 | persons | 5074 | 5435 | 7070 |
Number of Employees Aged Below 30 | persons | 38972 | 44963 | 39360 |
Number of Employees in Central China | persons | 13543 | ||
Number of Employees in East China | persons | 44649 | ||
Number of Employees in North China | persons | 17171 | ||
Number of Employees in Northeast China | persons | 6890 | ||
Number of Employees in Northwest China | persons | 6905 | ||
Number of Employees in South China | persons | 15007 | ||
Number of Employees in Southwest China | persons | 13954 | ||
Number of Female Employees | persons | 55367 | 62022 | 62837 |
Number of Male Employees | persons | 41853 | 54789 | 55282 |
Number of New Employees | persons | 11222 | 22237 | 14554 |
Number of Total Employees | persons | 104458 | 116811 | 118119 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 9.9 | ||
Turnover Rate of Employees Aged Above 50 | % | 11.88 | ||
Turnover Rate of Employees in Central China | % | 11.31 | ||
Turnover Rate of Employees in East China | % | 10.3 | ||
Turnover Rate of Employees in North China | % | 6.53 | ||
Turnover Rate of Employees in Northeast China | % | 29.27 | ||
Turnover Rate of Employees in Northwest China | % | 11.01 | ||
Turnover Rate of Employees in South China | % | 19.32 | ||
Turnover Rate of Employees in Southwest China | % | 16.02 | ||
Turnover Rate of Female Employees | % | 9.33 | 14.95 | 9.25 |
Turnover Rate of Male Employees | % | 15.37 | 21.52 | 12.07 |
Turnover Rate of Total Employees | % | 11.11 | 18.03 | 10.57 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 132 | 2741 | 1994 |
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 | % | 45.73 | 51.61 | 48.22 |
Percentage of Trained General Employees | % | 84.37 | 85.73 | 91.76 |
Percentage of Trained Male Employees | % | 40.55 | 48.41 | 51.78 |
Percentage of Trained Middle Management | % | 12.02 | 12.07 | 7.39 |
Percentage of Trained Senior Management | % | 3.36 | 2.22 | 0.87 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 37.3 | 42.5 | 37.4 |
Average Training Hours (General Employees) | hours | 31.3 | 38.5 | 36.4 |
Average Training Hours (Male) | hours | 34.1 | 38.1 | 38.2 |
Average Training Hours (Middle Management) | hours | 44.3 | 42.4 | 55.6 |
Average Training Hours (Senior Management) | hours | 79.3 | 70.1 | 92.2 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Suppliers in Central China | number | 10 | ||
Number of Suppliers in East China | number | 386 | ||
Number of Suppliers in Mainland China | number | 595 | ||
Number of Suppliers in North China | number | 138 | ||
Number of Suppliers in Northeast China | number | 2 | ||
Number of Suppliers in Overseas | number | 11 | 7 | 5 |
Number of Suppliers in South China | number | 44 | ||
Number of Suppliers in Southwest China | number | 15 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Complaints Handling Rate | % | 100 | 100 | 100 |
Total Number of Customer Complaints | Times | 3950 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Public Welfare Donations | million | 26 | 50 | 75 |
Total Social Investment | million | 26 | 50 | 75 |