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 |
---|---|---|---|---|---|
Clean energy equivalent to nitrogen oxides emissions | 10000 ton | 3.64 | 130 | ||
Clean energy equivalent to sulfur dioxide emissions | 10000 ton | 3.49 | 130 | ||
Discharged Gaseous Radioactive Waste (Inert gases) to the National Annual Limit - Daya Bay Nuclear Power Base | % | 0.56% | 0.43% | 0.42% | 73 |
Discharged Gaseous Radioactive Waste (Inert gases) to the National Annual Limit - Fangchenggang NPP | % | 0.35% | 0.29% | 0.30% | 73 |
Discharged Gaseous Radioactive Waste (Inert gases) to the National Annual Limit - Hongyanhe NPP | % | 0.21% | 0.20% | 0.14% | 73 |
Discharged Gaseous Radioactive Waste (Inert gases) to the National Annual Limit - Ningde NPP | % | 0.30% | 0.28% | 0.30% | 73 |
Discharged Gaseous Radioactive Waste (Inert gases) to the National Annual Limit - Taishan NPP | % | 0.71% | 1.59% | 2.19% | 73 |
Discharged Gaseous Radioactive Waste (Inert gases) to the National Annual Limit - Yangjiang NPP | % | 0.24% | 0.30% | 0.21% | 73 |
Discharged Liquid Radioactive Waste (Radionuclides Other Than Tritium) to the National Annual Limit - Daya Bay Nuclear Power Base | % | 0.35% | 0.27% | 0.24% | 73 |
Discharged Liquid Radioactive Waste (Radionuclides Other Than Tritium) to the National Annual Limit - Fangchenggang NPP | % | 0.43% | 0.29% | 0.30% | 73 |
Discharged Liquid Radioactive Waste (Radionuclides Other Than Tritium) to the National Annual Limit - Hongyanhe NPP | % | 0.21% | 0.19% | 0.15% | 73 |
Discharged Liquid Radioactive Waste (Radionuclides Other Than Tritium) to the National Annual Limit - Ningde NPP | % | 0.30% | 0.24% | 0.37% | 73 |
Discharged Liquid Radioactive Waste (Radionuclides Other Than Tritium) to the National Annual Limit - Taishan NPP | % | 0.54% | 3.02% | 4.85% | 73 |
Discharged Liquid Radioactive Waste (Radionuclides Other Than Tritium) to the National Annual Limit - Yangjiang NPP | % | 0.29% | 0.55% | 0.41% | 73 |
Reduction of nitrogen oxide (equivalent) | thousand tons | 36.4 | 65 | ||
Reduction of sulphur dioxide (equivalent) | thousand tons | 34.9 | 65 | ||
Results of Environmental Monitoring - Daya Bay Nuclear Power Base | Normal | Normal | Normal | 73 | |
Results of Environmental Monitoring - Fangchenggang NPP | Normal | Normal | Normal | 73 | |
Results of Environmental Monitoring - Hongyanhe NPP | Normal | Normal | Normal | 73 | |
Results of Environmental Monitoring - Ningde NPP | Normal | Normal | Normal | 73 | |
Results of Environmental Monitoring - Taishan NPP | Normal | Normal | Normal | 73 | |
Results of Environmental Monitoring - Yangjiang NPP | Normal | Normal | Normal | 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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Clean energy equivalent to carbon dioxide emission | 10000 ton | 13254.56 | 15051.35 | 15627.64 | 130 |
Purchased electricity equivalent to carbon dioxide emissions | ten thousand tons | 25.8 | 43.75 | 52.23 | 76 |
Reduction of carbon dioxide (equivalent) | million tons | 156.28 | 65 |
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 |
---|---|---|---|---|---|
Solid Radioactive Waste - Daya Bay Nuclear Power Base | m³ | 248.6 | 244.8 | 230.3 | 73 |
Solid Radioactive Waste - Fangchenggang NPP | m³ | 64.6 | 67.6 | 74 | 73 |
Solid Radioactive Waste - Hongyanhe NPP | m³ | 159.6 | 118.4 | 120 | 73 |
Solid Radioactive Waste - Ningde NPP | m³ | 136.8 | 124.8 | 110.4 | 73 |
Solid Radioactive Waste - Yangjiang NPP | m³ | 44.8 | 60.8 | 102.4 | 73 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Nuclear Power Generation Equivalent to Reduction of COâ‚‚ | 10000 tons | 13254.56 | 15051.35 | 15627.64 | 13 |
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 |
---|---|---|---|---|---|
Average capacity factor of 24 units in operation | % | 92.03 | 41 | ||
Installed Capacity of Generating Units in Operation | MW | 24306 | 27142 | 27142 | 13 |
On-grid Power Generation | GWh | 157044.58 | 178969.73 | 186487.4 | 13 |
On-grid nuclear power generation | GWh | 186487.4 | 65 | ||
Purchased electricity | MWh | 300538 | 739000 | 623260 | 76 |
Reduction of standard coal consumption (equivalent) | million tons | 56.97 | 65 | ||
Unit Capacity Factor - Daya Bay Unit 1 | % | 99.99 | 41 | ||
Unit Capacity Factor - Daya Bay Unit 2 | % | 89.21 | 41 | ||
Unit Capacity Factor - Fangchenggang Unit 1 | % | 91.2 | 41 | ||
Unit Capacity Factor - Fangchenggang Unit 2 | % | 91.98 | 41 | ||
Unit Capacity Factor - Hongyanhe Unit 1 | % | 91.09 | 41 | ||
Unit Capacity Factor - Hongyanhe Unit 2 | % | 90.88 | 41 | ||
Unit Capacity Factor - Hongyanhe Unit 3 | % | 99.78 | 41 | ||
Unit Capacity Factor - Hongyanhe Unit 4 | % | 92.74 | 41 | ||
Unit Capacity Factor - Ling'Ao Unit 1 | % | 99.99 | 41 | ||
Unit Capacity Factor - Ling'Ao Unit 2 | % | 89.17 | 41 | ||
Unit Capacity Factor - Lingdong Unit 1 | % | 90.71 | 41 | ||
Unit Capacity Factor - Lingdong Unit 2 | % | 92.77 | 41 | ||
Unit Capacity Factor - Ningde Unit 1 | % | 91.39 | 41 | ||
Unit Capacity Factor - Ningde Unit 2 | % | 99.99 | 41 | ||
Unit Capacity Factor - Ningde Unit 3 | % | 96.73 | 41 | ||
Unit Capacity Factor - Ningde Unit 4 | % | 91.22 | 41 | ||
Unit Capacity Factor - Taishan Unit 1 | % | 71.56 | 41 | ||
Unit Capacity Factor - Taishan Unit 2 | % | 97.71 | 41 | ||
Unit Capacity Factor - Yangjiang Unit 1 | % | 98.5 | 41 | ||
Unit Capacity Factor - Yangjiang Unit 2 | % | 85.96 | 41 | ||
Unit Capacity Factor - Yangjiang Unit 3 | % | 85.51 | 41 | ||
Unit Capacity Factor - Yangjiang Unit 4 | % | 96.18 | 41 | ||
Unit Capacity Factor - Yangjiang Unit 5 | % | 92.64 | 41 | ||
Unit Capacity Factor - Yangjiang Unit 6 | % | 81.82 | 41 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Fresh water consumption | 10000 tons | 1620 | 1156 | 1100 | 130 |
Freshwater Consumption | ten thousand tons | 1620 | 1156 | 1100 | 70 |
Water Consumption Per Unit of On-grid Power Generation | ton/GWh | 103 | 65 | 59 | 70 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 1994-2003 | Report Pages |
---|---|---|---|
M310 Reactor Technology - major technology improvement | major technical improvements | 37 | 105 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2013-2019 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
HPR 1000 Core Damage Frequency (CDF) | Reactor year | <1x10^-5 | 105 | |||
HPR 1000 Core internal safety margin | % | >15 | 105 | |||
HPR 1000 Design basis seismic rating | g | 0.3 | 105 | |||
HPR 1000 Large Early Release Frequency (LERF) | Reactor year | <1x10^-7 | 105 | |||
Nuclear power generating units in operation (units) | units | 22 | 24 | 24 | 130 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of Employees | 18663 | 18383 | 18264 | 131 | |
Number of employments achieved for disadvantaged individuals | Person | 51 | 132 | ||
Number of ethnic minority employees | 781 | 783 | 763 | 131 | |
Proportion of administrative personnel | 0.078 | 87 | |||
Proportion of employees - Academic Background - Doctorate | % | 0.93 | 0.98 | 0.98 | 131 |
Proportion of employees - Academic Background - Postgraduate | % | 18.57 | 19 | 19.44 | 131 |
Proportion of employees - Academic Background - Undergraduate | % | 72.91 | 73.74 | 73.58 | 131 |
Proportion of employees - Academic Background - Undergraduate or below | % | 7.59 | 6.28 | 6 | 131 |
Proportion of employees - Age - Aged 28 and below | % | 24.46 | 19.66 | 16.2 | 131 |
Proportion of employees - Age - Aged 29 to 35 | % | 42.78 | 42.13 | 40.6 | 131 |
Proportion of employees - Age - Aged 36 to 45 | % | 21.73 | 25.48 | 29.19 | 131 |
Proportion of employees - Age - Aged 46 and above | % | 11.03 | 12.73 | 14.01 | 131 |
Proportion of employees - Employee Category - Administration | % | 7.29 | 7.69 | 7.8 | 131 |
Proportion of employees - Employee Category - Full-time | % | 100 | 100 | 100 | 131 |
Proportion of employees - Employee Category - Technical | % | 92.71 | 92.31 | 92.2 | 131 |
Proportion of employees - Gender - Female | % | 11.6 | 11.58 | 11.68 | 131 |
Proportion of employees - Gender - Male | % | 88.4 | 88.42 | 88.32 | 131 |
Proportion of employees - Region - Outside Shenzhen | % | 76.1 | 76.78 | 76.64 | 131 |
Proportion of employees - Region - Within Shenzhen | % | 23.9 | 23.22 | 23.36 | 131 |
Proportion of employees aged 28 and below | 0.162 | 87 | |||
Proportion of employees aged 29 to 35 | 0.406 | 87 | |||
Proportion of employees aged 36 to 45 | 0.2919 | 87 | |||
Proportion of employees aged 46 and above | 0.1401 | 87 | |||
Proportion of employees in Shenzhen | 0.7664 | 87 | |||
Proportion of employees outside Shenzhen | 0.2336 | 87 | |||
Proportion of employees with bachelor degree | 0.7358 | 87 | |||
Proportion of employees with bachelor or below degree | 0.06 | 87 | |||
Proportion of employees with doctorate degree | 0.0098 | 87 | |||
Proportion of employees with postgraduate degree | 0.1944 | 87 | |||
Proportion of ethnic minority employees | 0.0418 | 87 | |||
Proportion of female employees | 0.1168 | 87 | |||
Proportion of full-time employees | 100% | 87 | |||
Proportion of male employees | 0.8832 | 87 | |||
Proportion of non-ethnic minority employees | 0.9582 | 87 | |||
Proportion of part-time employees | 0% | 87 | |||
Proportion of technical personnel | 0.922 | 87 | |||
Total number of employees (not including affiliated companies) | 18264 | 87 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Employee turnover rate | 0.0168 | 87 | |||
Employee turnover rate (Shenzhen) | 0.0044 | 87 | |||
Employee turnover rate (aged 28 and below) | 0.0073 | 87 | |||
Employee turnover rate (aged 29 to 35) | 0.0059 | 87 | |||
Employee turnover rate (aged 36 to 45) | 0.003 | 87 | |||
Employee turnover rate (aged 46 and above) | 0.0005 | 87 | |||
Employee turnover rate (female) | 0.0016 | 87 | |||
Employee turnover rate (male) | 0.0152 | 87 | |||
Employee turnover rate (outside Shenzhen) | 0.0124 | 87 | |||
Turnover rate - Age - Aged 28 and below | % | 1.14 | 0.97 | 0.59 | 131 |
Turnover rate - Age - Aged 29 to 35 | % | 1.42 | 0.89 | 0.73 | 131 |
Turnover rate - Age - Aged 36 to 45 | % | 0.41 | 0.32 | 0.3 | 131 |
Turnover rate - Age - Aged 46 and above | % | 0.08 | 0.06 | 0.05 | 131 |
Turnover rate - Gender - Female | % | 0.3 | 0.28 | 0.16 | 131 |
Turnover rate - Gender - Male | % | 2.75 | 1.96 | 1.52 | 131 |
Turnover rate - Region - Outside Shenzhen | % | 2.62 | 1.86 | 1.24 | 131 |
Turnover rate - Region - Within Shenzhen | % | 0.43 | 0.38 | 0.44 | 131 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
Industrial Safety Accident Rate of Contractors per 200000 Man Hours - Daya Bay NPP | 0.117 | 44 | |||||||
Industrial Safety Accident Rate of Contractors per 200000 Man Hours - Ling'ao NPP | 0.107 | 44 | |||||||
Industrial Safety Accident Rate of Contractors per 200000 Man Hours - Ningde Nuclear NPP | 0.0389 | 44 | |||||||
Nuclear Engineering Construction Industrial Safety Accident Rate per 200000 Man Hours | 0.0112 | 0.0109 | 0.0094 | 0.0113 | 0.0051 | 0.0088 | 0.013 | 44 | |
Serious injury (cases) (including employees and contractors) | cases | 1 | 130 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Unplanned automatic scram (times) | times | 2 | 3 | 5 | 130 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2005-2008 | 2009 | 2012 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|---|
ACPR1000 31 safety technology improvement | safety technology improvements | 31 | 105 | |||||
ACPR1000 Core Damage Frequency (CDF) | Reactor year | <1x10^-4 | 105 | |||||
CPR1000 16 safety technology improvement | safety technology improvements | 16 | 105 | |||||
CPR1000+ 28 safety technology improvement | safety technology improvements | 28 | 105 | |||||
Maximum Radiation Dose Received by Personnel in Daya Bay NPP | millisieverts | 5.11 | 9.14 | 5.02 | 93 | |||
Maximum Radiation Dose Received by Personnel in Ling'ao NPP | millisieverts | 10.32 | 6.94 | 6.77 | 93 | |||
Maximum Radiation Dose Received by Personnel in Lingdong NPP | millisieverts | 5.25 | 5.81 | 4.7 | 93 | |||
Maximum Radiation Dose Received by Personnel in Ningde NPP | millisieverts | 8 | 8.72 | 11.22 | 93 | |||
Maximum Radiation Dose Received by Personnel in Taishan NPP | millisieverts | 0.29 | 1.01 | 7.1 | 93 | |||
Maximum Radiation Dose Received by Personnel in Unit 1 & Unit 2 of Fangchenggang NPP | millisieverts | 3.59 | 4.1 | 6.36 | 93 | |||
Maximum Radiation Dose Received by Personnel in Units 1, 2, 3 & 4 of Hongyanhe NPP | millisieverts | 7.6 | 8.79 | 6.43 | 93 | |||
Maximum Radiation Dose Received by Personnel in Yangjiang NPP | millisieverts | 8.11 | 11.82 | 12.05 | 93 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Middle managers training rate | % | 100 | 100 | 100 | 131 |
Number of vocational skills trainees | Person-time | 828 | 132 | ||
Senior managers training rate | % | 100 | 100 | 100 | 131 |
Training rate for female | % | 100 | 100 | 100 | 131 |
Training rate for male | % | 100 | 100 | 100 | 131 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Average training hours per employee (rounded up, hour) | hour | 179 | 146 | 93 | 131 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Percentage of advanced value achieved for WANO indicators of units (top1/4) | % | 78.79% | 76.39% | 72.57% | 130 |
WANO Performance Indicator (Top 1/4 advanced level of the world) | 78.79% | 76.39% | 72.57% | 13 | |
WANO indicators entering the world's top 1/10 (excellent level) | % | 73.11 | 72.22 | 69.79 | 41 |
WANO indicators entering the world's top 1/4 (advanced level) | % | 78.79 | 76.39 | 72.57 | 41 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Press conference | 15 | 10 | 4 | 132 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Number of disadvantaged individuals assisted in industrial alleviation | Person | 3050 | 2308 | 132 |
Number of disadvantaged individuals supported | Person | 3050 | 2308 | 132 |
Number of disadvantaged students supported | Person | 740 | 1452 | 132 |
Number of industrial alleviation projects | Unit | 2 | 4 | 132 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Amount invested for disadvantaged students | RMB 10000 | 371.76 | 555 | 132 | |
Amount invested for improving education resources in underdeveloped areas | RMB 10000 | 9.1 | 18.7 | 132 | |
Amount invested in Eastern and Western poverty alleviation | RMB 10000 | 150 | 132 | ||
Amount invested in designated poverty alleviation | RMB 10000 | 648.59 | 4173 | 132 | |
Amount invested in industrial alleviation | RMB 10000 | 740 | 3070 | 132 | |
Amount invested in medical and health funds in underdeveloped areas | RMB 10000 | 1.5 | 132 | ||
Amount invested in poverty alleviation charitable fund | RMB 10000 | 1205 | 132 | ||
Funds for poverty alleviation | RMB 10000 | 1853.59 | 4037 | 132 | |
Goods donations for poverty alleviation | RMB 10000 | 35.34 | 136 | 132 | |
Total donation | RMB 10000 | 1790.15 | 1949.07 | 7091.58 | 132 |
Volunteering hours | hours | 35000 | 28131 | 43413 | 132 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2020 |
---|---|---|
NOâ‚“ Emissions | thousand tons | 36.4 |
SOâ‚“ Emissions | thousand tons | 34.9 |
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 |
---|---|---|---|---|
GHG Emissions from Purchased Electricity | ten thousand tons | 25.8 | 43.75 | 52.23 |
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 |
---|---|---|---|---|
Hazardous Waste (Solid Waste) | m³ | 654.4 | 616.4 | 637.1 |
Total Hazardous Waste | m³ | 654.4 | 616.4 | 637.1 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
CO2 Emissions Reduction Compared to Last Year | 10000 tons | 1796.79 | 576.29 |
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 |
---|---|---|---|---|
Purchased Electricity | MWh | 300538 | 739000 | 623260 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Water Consumption | tons | 16200000 | 11560000 | 11000000 |
Water Consumption Intensity (By Revenue) | ton/GWh | 103 | 65 | 59 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
Electricity Usage Reduction Compared to Last Year | kWh |
Energy Consumption Reduction Compared to Last Year | tons standard coal |
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 Total Employees | 18663 | 18383 | 18264 | |
Percentage of Bachelor's Degree Employees | % | 72.91 | 73.74 | 73.58 |
Percentage of Doctoral Degree Employees | % | 0.93 | 0.98 | 0.98 |
Percentage of Employees Aged Below 30 | % | 24.46 | 19.66 | 16.2 |
Percentage of Female Employees | % | 11.6 | 11.58 | 11.68 |
Percentage of Full-time Employees | % | 100 | 100 | 100 |
Percentage of Male Employees | % | 88.4 | 88.42 | 88.32 |
Percentage of Master's Degree Employees | % | 18.57 | 19 | 19.44 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 1.83 | 1.21 | 1.03 |
Turnover Rate of Employees Aged Above 50 | % | 0.08 | 0.06 | 0.05 |
Turnover Rate of Employees Aged Below 30 | % | 1.14 | 0.97 | 0.59 |
Turnover Rate of Female Employees | % | 0.3 | 0.28 | 0.16 |
Turnover Rate of Male Employees | % | 2.75 | 1.96 | 1.52 |
Turnover Rate of Total Employees | % | 3.05 | 2.24 | 1.68 |
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 | % | 100 | 100 | 100 |
Percentage of Trained Male Employees | % | 100 | 100 | 100 |
Percentage of Trained Middle Management | % | 100 | 100 | 100 |
Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours per Employee | hour | 179 | 146 | 93 |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Total Suppliers |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit |
---|---|
Number of Intellectual Property Rights Obtained by the Company |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Investment in Education Donation | RMB 10000 | 9.1 | 555 | |
Investment in Targeted Poverty Alleviation | RMB 10000 | 648.59 | 3070 | |
Total Public Welfare Donations | RMB 10000 | 1790.15 | 1949.07 | 7091.58 |
Total Volunteer Service Hours | hours | 35000 | 28131 | 43413 |