2020 Environmental, Social and Governance 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 |
|---|---|---|---|---|---|
| Chemical Oxygen Demand (COD) (Platform + Terminal) | Tons | 128.7 | 110.4 | 117.1 | 33 |
| Discharge valves at offshore facilities closed | 5 | 33 | |||
| Nitrogen Oxides (NOₓ) (Terminal) | Tons | 341.3 | 330.7 | 417.8 | 33 |
| Oil Content in Discharged Water (Platform + Terminal) | Tons | 2437 | 3919 | 3424 | 33 |
| Sulfur Dioxide (SO₂) (Terminal) | Tons | 17.9 | 12 | 28.5 | 33 |
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 |
|---|---|---|---|---|---|
| CO2 emission intensity of oil and gas production (Hainan branch) | decreased by 16.7% | 9 | |||
| Direct Greenhouse Gas Emissions | Thousand tons of carbon dioxide equivalent | 7345 | 8597 | 9123 | 32 |
| Direct total GHGs (million tons of CO2 equivalent) | million tons of CO2 equivalent | 7.345 | 8.597 | 9.123 | 47 |
| GHGs per ton of production (tons of CO2 equivalent/ton) | tons of CO2 equivalent/ton | 0.1382 | 0.1493 | 0.147 | 47 |
| Greenhouse Gas Emissions per Ton of Oil and Gas Production | Tons of carbon dioxide equivalent/ton | 0.1328 | 0.1493 | 0.147 | 32 |
| Indirect Greenhouse Gas Emissions | Thousand tons of carbon dioxide equivalent | 135 | 186 | 222 | 32 |
| Indirect total GHGs (million tons of CO2 equivalent) | million tons of CO2 equivalent | 0.135 | 0.168 | 0.222 | 47 |
| Reduced greenhouse gas emissions | tCO2e | 320000 | 31 | ||
| Total GHGs (million tons of CO2 equivalent) | million tons of CO2 equivalent | 7.48 | 8.783 | 9.345 | 47 |
| Total Greenhouse Gas Emissions | Thousand tons of carbon dioxide equivalent | 7480 | 8783 | 9345 | 32 |
Total 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 |
|---|---|---|---|---|---|
| Hazardous Waste (Platform + Terminal) | Tons | 29246 | 45772 | 28011 | 33 |
| Hazardous waste (tons) | tons | 29428 | 45472 | 28101 | 47 |
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 |
|---|---|---|---|---|---|
| Accumulatively recycled cuttings and mud at Bohai Oilfield | thousand tons | 250 | 33 | ||
| Non-hazardous Waste (Platform + Terminal) | Tons | 13970 | 16104 | 30703 | 33 |
| Non-hazardous waste (tons) | tons | 13970 | 16104 | 30703 | 47 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021-2025 | Report Pages |
|---|---|---|---|---|
| CO2 emission potentially reduced by Jiangsu Offshore Wind Power Project | tons | 571000 | 9 | |
| CO2 emission reduction (Hainan branch) | tons | 125800 | 9 | |
| CO2 emission reduction by shore power at Bohai Bay | tons | 17000 | 9 | |
| Cumulative CO2 reduction target (2021-2025) | million tons | 1.5 | 8 |
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 | 2021 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Comprehensive Energy Consumption per Ton of Standard Coal Oil and Gas Production | Tons of standard coal equivalent/ton | 0.0515 | 0.0553 | 0.055 | 31 | ||
| Comprehensive energy consumption per ton of production (tons of standard coal equivalent/ton) | tons of standard coal equivalent/ton | 0.0515 | 0.0553 | 0.055 | 47 | ||
| Comprehensive energy consumption per unit of oil and gas production (Hainan branch) | decreased by 11.8% | 9 | |||||
| Crude Oil Consumption | Thousand tons | 324.1 | 371 | 387 | 31 | ||
| Crude oil consumption (thousand tons) | thousand tons | 324.1 | 371 | 387 | 47 | ||
| Diesel Consumption | Thousand tons | 49.4 | 55 | 58 | 31 | ||
| Diesel consumption (thousand tons) | thousand tons | 29.4 | 55.4 | 58 | 47 | ||
| Electricity Consumption | Million kWh | 2151 | 2544 | 2583 | 31 | ||
| Electricity consumption (million kWh) | million kWh | 203 | 228 | 283 | 47 | ||
| Estimated share of natural gas in total oil and gas production by 2025 | percent | 30% | 8 | ||||
| Installed capacity of Jiangsu Offshore Wind Power Project | MW | 300 | 9 | ||||
| Lingshui 17-2 Gas Field expected peak production | barrels of oil equivalents per day | 58000 | 8 | ||||
| Natural Gas Consumption | Million cubic meters | 1881 | 2051 | 2228 | 31 | ||
| Natural gas consumption (billion cubic meters) | billion cubic meters | 1.881 | 2.051 | 2.228 | 47 | ||
| Net production of the year (million BOE) | million BOE | 475 | 506.5 | 528.2 | 47 | ||
| Net proven reserves (billion BOE) | billion BOE | 4.96 | 5.18 | 5.37 | 47 | ||
| Number of turbines in first offshore wind power project connected to the grid | turbines | 57 | 4 | ||||
| Reduced comprehensive energy consumption | tons of standard coal equivalent | 148800 | 31 | ||||
| Standard coal consumption saved (Hainan branch) | tons | 48000 | 9 | ||||
| Standard coal potentially saved by Jiangsu Offshore Wind Power Project | tons | 279000 | 9 | ||||
| Unmanned platforms put into operation | platforms | 29 | 9 | ||||
| Yearly on-grid energy of Jiangsu Offshore Wind Power Project | MW | 860000 | 9 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Freshwater Consumption per Ton of Oil and Gas Production | Cubic meters/ton | 0.0335 | 0.0367 | 0.0333 | 31 |
| Freshwater consumption (million tons) | million tons | 1.859 | 2.137 | 2.12 | 47 |
| Freshwater consumption per ton of production (cubic meters/ton) | cubic meters/ton | 0.0335 | 0.0367 | 0.0333 | 47 |
| Total Freshwater Consumption | Thousand tons | 1859 | 2137 | 2120 | 31 |
| Water saving (Hainan branch) | tons | 55000 | 9 | ||
| Water saving (thousand tons) | thousand tons | 108 | 182 | 89 | 47 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Annual investment in new energy field as share of capital expenditure by 2025 | percent | 5% | 8 | |||
| Average annual investment in energy-saving projects | million RMB | 193 | 31 | |||
| Average annual investment in energy-saving projects per year | million RMB | 7 | 31 | |||
| Energy Conservation Actual Results | Tons of standard coal equivalent | 165148 | 125340 | 148788 | 31 | |
| Energy Conservation Targets | Tons of standard coal equivalent | 93723 | 116150 | 141550 | 31 | |
| Energy saving (tons of standard coal equivalent) | tons of standard coal equivalent | 165148 | 125340 | 148788 | 47 | |
| Number of energy-saving transformation projects promoted | 60 | 31 | ||||
| Standard coal saved by shore power at Bohai Bay | tons | 64700 | 9 |
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.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Water Saved | Thousand tons | 108 | 182 | 89 | 31 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Equivalent tree absorption by Jiangsu Offshore Wind Power Project | km² of trees | 286.67 | 9 |
| Equivalent tree planting by shore power at Bohai Bay | million trees | 1.71 | 9 |
| Investment in Nima County road and living infrastructure | million RMB | 35.2 | 45 |
| Investment in environmental protection at Bohai Oilfield | billion RMB | 6.7 | 33 |
| Proportion of unmanned platforms | 11.3% | 9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Number of employees | 18132 | 17803 | 18453 | 47 | ||
| Number of female employees | 2846 | 2960 | 2597 | 37, 47 | ||
| Number of female mid-level and senior managers | 154 | 37 | ||||
| Number of male employees | 15756 | 37 | ||||
| Number of postgraduates chosen for three-year program | 200 | 39 | ||||
| Number of senior workers or above | 4620 | 39 | ||||
| Number of staff in Africa | 92 | 37 | ||||
| Number of staff in Asia (Outside China) | 941 | 37 | ||||
| Number of staff in China Mainland | 15927 | 37 | ||||
| Number of staff in Europe | 801 | 37 | ||||
| Number of staff in North and South America | 583 | 37 | ||||
| Number of staff in Oceania | 9 | 37 | ||||
| Number of technicians and senior technicians | 1080 | 39 | ||||
| Number of young management talents identified | 718 | 39 | ||||
| Percentage of newly promoted executives under 45 | at least 50% | 39 | ||||
| Percentage of newly promoted managers under 40 in subordinate units | at least 50% | 39 | ||||
| Percentage of total skilled workers who are Others | % | 3.31 | 39 | |||
| Percentage of total skilled workers who are Senior Workers or Above | % | 78.37 | 39 | |||
| Percentage of total skilled workers who are Technicians and Senior Technicians | % | 18.32 | 39 | |||
| Proportion of Han staff | % | 96.6 | 37 | |||
| Proportion of female employees | % | 14 | 37 | |||
| Proportion of female managers in the management | % | 16 | 37 | |||
| Proportion of male employees | % | 86 | 37 | |||
| Proportion of minority staff | % | 3.4 | 37 | |||
| Proportion of staff above 50 | % | 7.73 | 37 | |||
| Proportion of staff aged 31-50 | % | 69.59 | 37 | |||
| Proportion of staff below the age of 30 | % | 22.68 | 37 | |||
| Proportion of staff in Africa | % | 0.5 | 37 | |||
| Proportion of staff in Asia (Outside China) | % | 5.13 | 37 | |||
| Proportion of staff in China Mainland | % | 86.78 | 37 | |||
| Proportion of staff in Europe | % | 4.36 | 37 | |||
| Proportion of staff in North and South America | % | 3.18 | 37 | |||
| Proportion of staff in Oceania | % | 0.05 | 37 | |||
| Proportion of staff with bachelor degree | % | 59.25 | 37 | |||
| Proportion of staff with college degree or below | % | 15.18 | 37 | |||
| Proportion of staff with master degree or above | % | 25.57 | 37 | |||
| Total Work Hours (Employees and Direct Contractors) | million man-hours | 109 | 111 | 142 | 158 | 23 |
| Total Work Hours (Employees) | million man-hours | 41 | 40 | 41 | 62 | 23 |
| Total number of staff members | 18353 | 37 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Staff turnover rate | % | 0.89 | 37 |
| Staff turnover rate for female staff | % | 0.16 | 37 |
| Staff turnover rate for male staff | % | 0.73 | 37 |
| Staff turnover rate for staff above 50 | % | 0.01 | 37 |
| Staff turnover rate for staff aged 31-50 | % | 0.37 | 37 |
| Staff turnover rate for staff below 30 | % | 0.51 | 37 |
| Staff turnover rate in China Mainland | % | 0.88 | 37 |
| Staff turnover rate in Overseas, Hong Kong, Macao and Taiwan | % | 0.01 | 37 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Casualties (Employees and Direct Contractors) | 1 | 1 | 1 | 1 | 23 | |
| Death rate due to work-related injuries (Employees and Direct Contractors) | 0.009 | 0.009 | 0.007 | 0.006 | 23 | |
| Number of Recordable Incidents (Employees and Direct Contractors) | 48 | 22 | 47 | 25 | 23 | |
| Number of Recordable Incidents (Employees) | 1 | 1 | 23 | |||
| Rate of Recordable Incidents (Employees and Direct Contractors) | 0.45 | 0.2 | 0.35 | 0.16 | 23 | |
| Rate of Recordable Incidents (Employees) | 0.03 | 0.02 | 23 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Cases of Lost Work Days (Employees and Direct Contractors) | 17 | 8 | 20 | 16 | 23 | |
| Rate of Lost Work Days (Employees and Direct Contractors) | 0.15 | 0.07 | 0.15 | 0.1 | 23 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Occupational health examination rate (%) | % | 100 | 100 | 100 | 47 |
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 course on induction for new employees | 15 | 40 | |||
| Number of course on occupational health | 10 | 40 | |||
| Total number of trainees | 266266 | 188197 | 19940 | 40 | |
| Total trainees | 19940 | 40 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average offline training per person | hours | 82 | 40 | ||
| Average online training per person | hours | 104 | 40 | ||
| Average training hour per person for management personnel | hours | 219 | 40 | ||
| Average training hour per person for skilled workers | hours | 195 | 40 | ||
| Average training hour per person for technical workers | hours | 207 | 40 | ||
| Investment in vocational skills of local grassroots employees | million RMB | 4.3 | 45 | ||
| Total training hours | hours | 1235364 | 1492566 | 2980200 | 40 |
| Total training hours (hours) | hours | 1235644 | 1492566 | 2980200 | 47 |
| Total training hours per person | hours | 83 | 96 | 186 | 40 |
| Total training sessions | 23875 | 12670 | 2416 | 40 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Net assets (million RMB) | million RMB | 419910 | 448226 | 433930 | 47 |
| Number of contractors | 18353 | 37 | |||
| Ships mobilized - Hainan Branch | ships | 10 | 44 | ||
| Ships mobilized - Shanghai Branch | ships | 9 | 44 | ||
| Ships mobilized - Shenzhen Branch | ships | 4 | 44 | ||
| Ships mobilized - Tianjin Branch | ships | 12 | 44 | ||
| Total assets (million RMB) | million RMB | 686381 | 757731 | 721275 | 47 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Number of qualification reviews and certifications for exploration, downhole operation, drilling and completion | 76 | 39 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Gross sales revenue | billion RMB | 139.9 | 44 | ||
| Helicopters mobilized - Hainan Branch | helicopters | 1 | 44 | ||
| Helicopters mobilized - Shanghai Branch | helicopters | 1 | 44 | ||
| Helicopters mobilized - Tianjin Branch | helicopters | 8 | 44 | ||
| Helicopters mobilized for maritime rescue | helicopters | 10 | 44 | ||
| Total revenue (million RMB) | million RMB | 227711 | 233199 | 155372 | 47 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Ships mobilized for maritime rescue | ships | 35 | 44 |
| Ships rescued - Hainan Branch | ships | 7 | 44 |
| Ships rescued - Shenzhen Branch | ships | 2 | 44 |
| Ships rescued - Tianjin Branch | ships | 1 | 44 |
| Ships rescued in maritime rescue | ships | 10 | 44 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Commendation letters received | letters | 5 | 44 |
| Donation to pairing-aid trade union in Nima County | million RMB | 0.5 | 45 |
| Government commendations received | commendation | 1 | 44 |
| Investment to improve rural living in Baoting County and Lhünzhub County | million RMB | 8.35 | 45 |
| Jobs created | 18000 | 44 | |
| Maritime search and rescue assistance (times) | times | 28 | 44 |
| Number of townships benefited by rural living improvement project | townships | 11 | 45 |
| People rescued - Hainan Branch | people | 40 | 44 |
| People rescued - Shanghai Branch | people | 4 | 44 |
| People rescued - Shenzhen Branch | people | 7 | 44 |
| People rescued - Tianjin Branch | people | 1 | 44 |
| People rescued in maritime rescue | people | 52 | 44 |
| Poverty alleviation projects implemented | projects | 15 | 45 |
| Poverty alleviation projects in Nima County | projects | 10 | 45 |
| Rescue missions - Hainan Branch | missions | 9 | 44 |
| Rescue missions - Shanghai Branch | missions | 6 | 44 |
| Rescue missions - Shenzhen Branch | missions | 2 | 44 |
| Rescue missions - Tianjin Branch | missions | 11 | 44 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Amount donated for poverty alleviation activities, education, medical care, and voluntary services | million RMB | 93.03 | 4 | ||
| CUCBM poverty alleviation fund for Luoyukou village in Xing County | million RMB | 3 | 45 | ||
| CUCBM poverty alleviation investment in Shanxi Province | million RMB | 2.67 | 45 | ||
| Number of families benefited by rural living improvement project | families | 6900 | 45 | ||
| Poverty alleviation investment | million RMB | 69.87 | 45 | ||
| Public welfare donation | million RMB | 93.3 | 45 | ||
| Tax paid (including income tax, value-added tax, mining fees and resource tax) | billion RMB | 38.1 | 44 | ||
| Tax payment* (million RMB) | billion RMB | 44 | 50.5 | 38.1 | 47 |
| Total investment in Nima County poverty alleviation | million RMB | 40 | 45 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| NOₓ Emissions | Tons | 341.3 | 330.7 | 417.8 |
| SOₓ Emissions | Tons | 17.9 | 12 | 28.5 |
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) | million tons of CO2 equivalent | 7.345 | 8.597 | 9.123 |
| Indirect Energy Emissions (Scope 2) | million tons of CO2 equivalent | 0.135 | 0.168 | 0.222 |
| Total GHG Emissions | million tons of CO2 equivalent | 7.48 | 8.783 | 9.345 |
| Total GHG Emissions Intensity (By Product Volume) | tons of CO2 equivalent/ton | 0.1382 | 0.1493 | 0.147 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Total Hazardous Waste | tons | 29246 | 45772 | 28011 |
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 Disposed | tons | 13970 | 16104 | 30703 |
| Non-Hazardous Waste Recycled | tons | 250000 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 | 2021-2025 |
|---|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons | 713800 | 1500000 |
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 |
|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Unit Product) | tons of standard coal equivalent/ton | 0.0515 | 0.0553 | 0.055 |
| Crude Oil Consumption | thousand tons | 324.1 | 371 | 387 |
| Diesel Fuel Consumption | thousand tons | 29.4 | 55 | 58 |
| Natural Gas Consumption | billion cubic meters | 1.881 | 2.051 | 2.228 |
| Purchased Electricity | million kWh | 2151 | 2544 | 283 |
| Renewable Energy Consumption | MW | 860000 | ||
| Wind Energy | MW | 860000 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | tons | 1859000 | 2137000 | 2120000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 193 |
| Number of Energy-saving and Carbon Reduction Demonstration Projects Achieved | 60 |
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 Compared to Last Year | tons per year |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Investment in Ecological Restoration | billion RMB | 6.7 |
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 in Africa | 92 | |||
| Number of Employees in Americas | 583 | |||
| Number of Employees in Asia (Excluding China) | 941 | |||
| Number of Employees in Europe | 801 | |||
| Number of Employees in Mainland China | 15927 | |||
| Number of Employees in Oceania | 9 | |||
| Number of Female Employees | 2846 | 2960 | 2597 | |
| Number of Male Employees | 15756 | |||
| Number of Senior Management Employees | 4620 | |||
| Number of Technicians and Senior Technicians | 1080 | |||
| Number of Total Employees | 18132 | 17803 | 18353 | |
| Percentage of Bachelor's Degree Employees | % | 59.25 | ||
| Percentage of Below Junior College Employees | % | 15.18 | ||
| Percentage of Employees Aged 30-50 | % | 69.59 | ||
| Percentage of Employees Aged Above 50 | % | 7.73 | ||
| Percentage of Employees Aged Below 30 | % | 22.68 | ||
| Percentage of Employees in Africa | % | 0.5 | ||
| Percentage of Employees in Americas | % | 3.18 | ||
| Percentage of Employees in Asia (Excluding China) | % | 5.13 | ||
| Percentage of Employees in Europe | % | 4.36 | ||
| Percentage of Employees in Mainland China | % | 86.78 | ||
| Percentage of Employees in Oceania | % | 0.05 | ||
| Percentage of Female Employees | % | 14 | ||
| Percentage of Male Employees | % | 86 | ||
| Percentage of Master's Degree Employees | % | 25.57 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 0.37 |
| Turnover Rate of Employees Aged Above 50 | % | 0.01 |
| Turnover Rate of Employees Aged Below 30 | % | 0.51 |
| Turnover Rate of Employees in Mainland China | % | 0.88 |
| Turnover Rate of Female Employees | % | 0.16 |
| Turnover Rate of Male Employees | % | 0.73 |
| Turnover Rate of Total Employees | % | 0.89 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | 0.009 | 0.009 | 0.007 | 0.006 | |
| Number of Fatalities as a Result of Work-related Injuries | 1 | 1 | 1 | 1 | |
| Number of Fatalities of the Last 3 Years | 3 | 3 | |||
| Number of Work-related Fatalities | 1 | 1 | 1 | 1 | |
| Work-related Fatalities Rate | 0.009 | 0.009 | 0.007 | 0.006 |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Lost Working Days Due to Work-related Injuries (Contractor) | cases | 17 | 8 | 20 | 16 |
| Lost Working Days Due to Work-related Injuries (Employees and Direct Contractors) | cases | 17 | 8 | 20 | 16 |
| Rate of Work-related Injuries | 0.15 | 0.07 | 0.15 | 0.1 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Health Check Coverage for Employees | % | 100 | 100 | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Trained Female Employees | % |
| Percentage of Trained General Employees | % |
| Percentage of Trained Male Employees | % |
| Percentage of Trained Middle Management | % |
| Percentage of Trained Senior Management | % |
| Percentage of Trained Technical Employees | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | |||
| Average Training Hours (General Staff) | hours | |||
| Average Training Hours (Male) | hours | |||
| Average Training Hours (Middle Management) | hours | |||
| Average Training Hours (Senior Management) | hours | |||
| Average Training Hours (Technical Employees) | hours | 207 | ||
| Average Training Hours per Employee | hours | 83 | 96 | 186 |
| Total Training Hours | hours | 1235644 | 1492566 | 2980200 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Total Suppliers | 18353 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 69.87 |
| Total Public Welfare Donations | million RMB | 93.3 |