CORPORATE SOCIAL RESPONSIBILITY REPORT 2022

Company: NCI (1336)
Year: 2022
Published: 2023-03-30
Status: Processed

Extracted ESG KPIs

KPIs are organized by ESG aspects.

The types of emissions and respective emissions data.

Indicator Unit 2022 Report Pages
Exhaust emissions (tonnes) tonnes 0.098 59
Nitrogen oxides (tonnes) tonnes 0.1 59
Sulphur dioxide (tonnes) tonnes 0.0028 59

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 2022 Report Pages
Direct emissions (Scope 1) (tonnes) tonnes 1147.95 59
Greenhouse gas emissions per unit area of office area (Scope 1 and 2) (tonnes/m²) tonnes/m² 0.04 59
Indirect emissions (Scope 2) (tonnes) tonnes 16978.57 59
Per capita greenhouse gas emissions (tonne) tonne 0.79 61
Per capita greenhouse gases emission density (tonne) tonne 0.0000048 61
Purchased electricity (tonnes) tonnes 16978.57 59
Reduction in carbon dioxide equivalent by New Era sales platform tonnes 102.05 63
Total greenhouse gas emission density (tonne) tonne 0.0047 61
Total greenhouse gas emissions (Scope 1 and 2) (tonnes) tonnes 18126.52 59
Total greenhouse gas emissions (tonne) tonne 774.37 61

Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2022 Report Pages
Disposal of hazardous waste per capita (tonne) tonne 0.00062 61
Hazardous waste disposal per capita (tonnes / employee) tonnes/employee 0.0004 59
Total amount of hazardous waste (tonne) tonne 0.61 61
Total hazardous waste (tonnes) tonnes 5.19 59

Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2022 Report Pages
Disposal of non-hazardous waste per capita (tonne) tonne 0.07 61
Disposal of non-hazardous waste per capita (tonnes / employee) tonnes/employee 0.07 59
Paper consumption (tonnes) tonnes 143.68 59
Paper consumption per capita (t/employee) t/employee 0.01 59
Total non-hazardous waste (tonne) tonne 66.03 61
Total non-hazardous waste (tonnes) tonnes 953.35 59

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 2021 2022 Report Pages
Direct energy consumption (MWh) MWh 4630.12 59
Electricity consumption of the building kWh 4953840 4691160 60
Energy consumption (MWh) MWh 34401.41 59
Energy consumption per unit area in the office (MWh/m²) MWh/m² 0.08 59
Indirect energy consumption (MWh) MWh 29771.3 59
Natural gas (MWh) MWh 2966.88 59
Natural gas (tonnes) tonnes 649.26 59
Petrol (MWh) MWh 1663.24 59
Petrol (tonnes) tonnes 498.68 59
Purchased electricity (MWh) MWh 29771.3 59

Water consumption in total and intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2021 2022 Report Pages
Number of sanitation stations set up for the project stations 432 22
Tap water consumption per capita (tonnes/employee) tonnes/employee 11.34 59
Water consumption (tonnes) tonnes 145925.34 59
Water consumption of the building 75786 57920 60

Description of energy use efficiency target(s) set and steps taken to achieve them.

Indicator Unit 2022 2023 Report Pages
Cloud platform physical servers reduced units 1800 46
Electricity saving plan - reduction in electricity consumption percent 2% 62

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 2022 2023 Report Pages
Pages of paper saved by New Era sales platform pages 8054700 63
Water saving plan - reduction in water consumption targets percent 5% 62

Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.

Indicator Unit 2022 Report Pages
Intelligent Q&A system knowledge reserve items 305000 46
Intelligent outbound calling system concurrent routes 200 46
Intelligent outbound calling system daily outbound calls per route hours 8 46
Investment in integration of the Yangtze River Delta billion RMB 28.8 17

Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.

Indicator Unit 2022 Report Pages
China Enterprise Confederation Top 500 Enterprises ranking rank 119 68
Employees (Number of employees) - 30 years old - 50 years old (not included) 25047 51
Employees (Number of employees) - East Zone 6851 51
Employees (Number of employees) - Female 20584 51
Employees (Number of employees) - Male 11024 51
Employees (Number of employees) - North Zone 10509 51
Employees (Number of employees) - Over 50 years old 2053 51
Employees (Number of employees) - South Zone 7436 51
Employees (Number of employees) - Under 30 years old 4508 51
Employees (Number of employees) - West Zone 6812 51
Fortune 500 ranking rank 416 68
Fortune China 500 ranking rank 55 68
Number of salespersons bound to WeChat Mall 18000 46
Women participation rate 99.6% 54
maximum amount of a single advance for medical advances RMB 200000 37
maximum number of advances for a single hospital admission 12 37
total advance amount for medical advances RMB 7894900 37

Employee turnover rate by gender, age group and geographical region.

Indicator Unit 2022 Report Pages
Employee turnover - 30 years old - 50 years old (not included) (%) % 3.04 51
Employee turnover - East Zone (%) % 1.48 51
Employee turnover - Female (%) % 2.59 51
Employee turnover - Male (%) % 3.11 51
Employee turnover - North Zone (%) % 1.68 51
Employee turnover - Over 50 years old (%) % 0.12 51
Employee turnover - South Zone (%) % 1.42 51
Employee turnover - Under 30 years old (%) % 2.54 51
Employee turnover - West Zone (%) % 1.12 51

Lost days due to work injury.

Indicator Unit 2022 Report Pages
total claims insurance benefits paid out billion RMB 13.5 37

The percentage of employees trained by gender and employee category (e.g. senior management, middle management).

Indicator Unit 2022 Report Pages
Basic staff participation rate 99.4% 54
Intelligent training system installations people 150000 46
Male participation rate 99.3% 54
Middle-level personnel participation rate 99.8% 54
Number of NCI E-learning online courses 1083 54
Number of employees completed online job enhancement training employees more than 22000 53
Number of online learners 23160 54
Number of people participated in New China Grand Lecture Hall special tutorials people 204000 53
Number of training courses held by training institute training courses 12 53
Senior staff participation rate 100% 54
policy-based health insurance claims settled (China, 11 prefectures, 9 provinces) 348000 37
policy-based health insurance participants (China, 11 prefectures, 9 provinces) million 17.95 37

The average training hours completed per employee by gender and employee category.

Indicator Unit 2022 Report Pages
Average hours of online learning per capita for senior and middle management cadres hours per capita 14.3 53
Average hours of training per capita (New China Grand Lecture Hall special tutorials) hours per capita more than 90 53
Basic staff average training hours hours 85 54
Intelligent training system online training sessions per day times 10000 46
Male average training hours hours 97 54
Middle-level personnel average training hours hours 101 54
Number of people trained by training institute people more than 1800 53
Senior staff average training hours hours 112 54
Total hours of online learning hours 1781725 54
Total hours of online learning for senior and middle management cadres hours 28590 53
Women average training hours hours 85 54

Percentage of total products sold or shipped subject to recalls for safety and health reasons.

Indicator Unit 2022 Report Pages
Protection Review System customers served customers 630000 46
Protection Review System users (agents) agents 60000 46

Number of products and service related complaints received and how they are dealt with.

Indicator Unit 2022 Report Pages
Average daily service volume of Intelligent Q&A system times 37505 46
Cloud platform production-type application systems systems 159 46
Cloud platform virtual machines built virtual machines 5806 46
Cloud platform virtual machines for development and testing virtual machines 2614 46
Cloud platform virtual machines for production systems virtual machines 3192 46
Cumulative total of proposals sent via New Era sales platform proposals 2994400 63
Number of claims completed by NCI Care for National Sanitation Workers project claims 327 22
Number of complaints referred by branch supervision - Anhui complaints 95 30
Number of complaints referred by branch supervision - Beijing complaints 239 30
Number of complaints referred by branch supervision - Chongqing complaints 108 30
Number of complaints referred by branch supervision - Dalian complaints 24 30
Number of complaints referred by branch supervision - Fujian complaints 75 30
Number of complaints referred by branch supervision - Gansu complaints 44 30
Number of complaints referred by branch supervision - Guangdong complaints 123 30
Number of complaints referred by branch supervision - Guangxi complaints 70 30
Number of complaints referred by branch supervision - Guizhou complaints 32 30
Number of complaints referred by branch supervision - Hainan complaints 6 30
Number of complaints referred by branch supervision - Hebei complaints 385 30
Number of complaints referred by branch supervision - Heilongjiang complaints 159 30
Number of complaints referred by branch supervision - Henan complaints 230 30
Number of complaints referred by branch supervision - Hubei complaints 305 30
Number of complaints referred by branch supervision - Hunan complaints 163 30
Number of complaints referred by branch supervision - Inner Mongolia complaints 194 30
Number of complaints referred by branch supervision - Jiangsu complaints 179 30
Number of complaints referred by branch supervision - Jiangxi complaints 124 30
Number of complaints referred by branch supervision - Jilin complaints 390 30
Number of complaints referred by branch supervision - Liaoning complaints 193 30
Number of complaints referred by branch supervision - Ningbo complaints 7 30
Number of complaints referred by branch supervision - Ningxia complaints 70 30
Number of complaints referred by branch supervision - Qingdao complaints 58 30
Number of complaints referred by branch supervision - Qinghai complaints 46 30
Number of complaints referred by branch supervision - Shaanxi complaints 408 30
Number of complaints referred by branch supervision - Shandong complaints 186 30
Number of complaints referred by branch supervision - Shanghai complaints 58 30
Number of complaints referred by branch supervision - Shanxi complaints 117 30
Number of complaints referred by branch supervision - Shenzhen complaints 21 30
Number of complaints referred by branch supervision - Sichuan complaints 64 30
Number of complaints referred by branch supervision - Tianjin complaints 236 30
Number of complaints referred by branch supervision - Xiamen complaints 11 30
Number of complaints referred by branch supervision - Xinjiang complaints 141 30
Number of complaints referred by branch supervision - Yunnan complaints 57 30
Number of complaints referred by branch supervision - Zhejiang complaints 236 30
Number of registrants on the New Era sales platform 212200 63
Number of self-reported complaints - Anhui branch complaints 1536 31
Number of self-reported complaints - Beijing branch complaints 7784 31
Number of self-reported complaints - Chongqing branch complaints 1389 31
Number of self-reported complaints - Dalian branch complaints 340 31
Number of self-reported complaints - Fujian branch complaints 1186 31
Number of self-reported complaints - Gansu branch complaints 805 31
Number of self-reported complaints - Guangdong branch complaints 2467 31
Number of self-reported complaints - Guangxi branch complaints 1118 31
Number of self-reported complaints - Guizhou branch complaints 1248 31
Number of self-reported complaints - Hainan branch complaints 228 31
Number of self-reported complaints - Hebei branch complaints 13560 31
Number of self-reported complaints - Heilongjiang branch complaints 3788 31
Number of self-reported complaints - Henan branch complaints 7399 31
Number of self-reported complaints - Hubei branch complaints 5334 31
Number of self-reported complaints - Hunan branch complaints 2823 31
Number of self-reported complaints - Inner Mongolia branch complaints 4557 31
Number of self-reported complaints - Jiangsu branch complaints 3694 31
Number of self-reported complaints - Jiangxi branch complaints 1617 31
Number of self-reported complaints - Jilin branch complaints 5246 31
Number of self-reported complaints - Liaoning branch complaints 2762 31
Number of self-reported complaints - Ningbo branch complaints 112 31
Number of self-reported complaints - Ningxia branch complaints 1309 31
Number of self-reported complaints - Qingdao branch complaints 1138 31
Number of self-reported complaints - Qinghai branch complaints 590 31
Number of self-reported complaints - Shaanxi branch complaints 8891 31
Number of self-reported complaints - Shandong branch complaints 9346 31
Number of self-reported complaints - Shanghai branch complaints 1937 31
Number of self-reported complaints - Shanxi branch complaints 2252 31
Number of self-reported complaints - Shenzhen branch complaints 264 31
Number of self-reported complaints - Sichuan branch complaints 2235 31
Number of self-reported complaints - Tianjin branch complaints 3167 31
Number of self-reported complaints - Xiamen branch complaints 200 31
Number of self-reported complaints - Xinjiang branch complaints 2536 31
Number of self-reported complaints - Yunnan branch complaints 1182 31
Number of self-reported complaints - Zhejiang branch complaints 3046 31
Peak daily transaction volume for face recognition 400000 46
Percentage of complaints referred by branch supervision - Anhui percent 1.94% 30
Percentage of complaints referred by branch supervision - Beijing percent 4.89% 30
Percentage of complaints referred by branch supervision - Chongqing percent 2.21% 30
Percentage of complaints referred by branch supervision - Dalian percent 0.49% 30
Percentage of complaints referred by branch supervision - Fujian percent 1.53% 30
Percentage of complaints referred by branch supervision - Gansu percent 0.90% 30
Percentage of complaints referred by branch supervision - Guangdong percent 2.52% 30
Percentage of complaints referred by branch supervision - Guangxi percent 1.43% 30
Percentage of complaints referred by branch supervision - Guizhou percent 0.65% 30
Percentage of complaints referred by branch supervision - Hainan percent 0.12% 30
Percentage of complaints referred by branch supervision - Hebei percent 7.87% 30
Percentage of complaints referred by branch supervision - Heilongjiang percent 3.25% 30
Percentage of complaints referred by branch supervision - Henan percent 4.70% 30
Percentage of complaints referred by branch supervision - Hubei percent 6.24% 30
Percentage of complaints referred by branch supervision - Hunan percent 3.33% 30
Percentage of complaints referred by branch supervision - Inner Mongolia percent 3.97% 30
Percentage of complaints referred by branch supervision - Jiangsu percent 3.66% 30
Percentage of complaints referred by branch supervision - Jiangxi percent 2.54% 30
Percentage of complaints referred by branch supervision - Jilin percent 7.98% 30
Percentage of complaints referred by branch supervision - Liaoning percent 3.95% 30
Percentage of complaints referred by branch supervision - Ningbo percent 0.14% 30
Percentage of complaints referred by branch supervision - Ningxia percent 1.43% 30
Percentage of complaints referred by branch supervision - Qingdao percent 1.19% 30
Percentage of complaints referred by branch supervision - Qinghai percent 0.94% 30
Percentage of complaints referred by branch supervision - Shaanxi percent 8.34% 30
Percentage of complaints referred by branch supervision - Shandong percent 3.80% 30
Percentage of complaints referred by branch supervision - Shanghai percent 1.19% 30
Percentage of complaints referred by branch supervision - Shanxi percent 2.39% 30
Percentage of complaints referred by branch supervision - Shenzhen percent 0.43% 30
Percentage of complaints referred by branch supervision - Sichuan percent 1.31% 30
Percentage of complaints referred by branch supervision - Tianjin percent 4.83% 30
Percentage of complaints referred by branch supervision - Xiamen percent 0.22% 30
Percentage of complaints referred by branch supervision - Xinjiang percent 2.88% 30
Percentage of complaints referred by branch supervision - Yunnan percent 1.17% 30
Percentage of complaints referred by branch supervision - Zhejiang percent 4.83% 30
Percentage of self-reported complaints - Anhui branch percent 1% 31
Percentage of self-reported complaints - Beijing branch percent 7% 31
Percentage of self-reported complaints - Chongqing branch percent 1% 31
Percentage of self-reported complaints - Dalian branch percent 0% 31
Percentage of self-reported complaints - Fujian branch percent 1% 31
Percentage of self-reported complaints - Gansu branch percent 1% 31
Percentage of self-reported complaints - Guangdong branch percent 2% 31
Percentage of self-reported complaints - Guangxi branch percent 1% 31
Percentage of self-reported complaints - Guizhou branch percent 1% 31
Percentage of self-reported complaints - Hainan branch percent 0% 31
Percentage of self-reported complaints - Hebei branch percent 13% 31
Percentage of self-reported complaints - Heilongjiang branch percent 4% 31
Percentage of self-reported complaints - Henan branch percent 7% 31
Percentage of self-reported complaints - Hubei branch percent 5% 31
Percentage of self-reported complaints - Hunan branch percent 3% 31
Percentage of self-reported complaints - Inner Mongolia branch percent 4% 31
Percentage of self-reported complaints - Jiangsu branch percent 3% 31
Percentage of self-reported complaints - Jiangxi branch percent 2% 31
Percentage of self-reported complaints - Jilin branch percent 5% 31
Percentage of self-reported complaints - Liaoning branch percent 3% 31
Percentage of self-reported complaints - Ningbo branch percent 0% 31
Percentage of self-reported complaints - Ningxia branch percent 1% 31
Percentage of self-reported complaints - Qingdao branch percent 1% 31
Percentage of self-reported complaints - Qinghai branch percent 1% 31
Percentage of self-reported complaints - Shaanxi branch percent 8% 31
Percentage of self-reported complaints - Shandong branch percent 9% 31
Percentage of self-reported complaints - Shanghai branch percent 2% 31
Percentage of self-reported complaints - Shanxi branch percent 2% 31
Percentage of self-reported complaints - Shenzhen branch percent 0% 31
Percentage of self-reported complaints - Sichuan branch percent 2% 31
Percentage of self-reported complaints - Tianjin branch percent 3% 31
Percentage of self-reported complaints - Xiamen branch percent 0% 31
Percentage of self-reported complaints - Xinjiang branch percent 2% 31
Percentage of self-reported complaints - Yunnan branch percent 1% 31
Percentage of self-reported complaints - Zhejiang branch percent 3% 31
Premiums via WeChat payment platform million RMB 860 46
average claim settlement time for individual customers days 0.56 37
claims settled million 3.13 37
medical advances benefited customers 268 37
online claims coverage rate 96.72% 37
online claims served (individual customers) 878200 37
total cumulative value of fund transactions (Pocket New China App) billion USD 14.8 47
total number of platform users (Pocket New China App) million 2.72 47

Description of practices relating to observing and protecting intellectual property rights.

Indicator Unit 2022 Report Pages
World Brand Lab Asia's Top 500 Brands ranking rank 236 68
World Brand Lab China's 500 Most Valuable Brands ranking rank 82 68

Description of consumer data protection and privacy policies, and how they are implemented and monitored.

Indicator Unit 2022 Report Pages
Cumulative total of face recognition transactions million 55 46
Face recognition pass rate on APP % 97 46

Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).

Indicator Unit 2022 Report Pages
Brand Finance Top 100 Most Valuable Global Insurance Brands ranking rank 27 68
Brand Finance Top 500 Global Brand Value ranking rank 442 68
Consumption assistance invested in Shiping County, Guizhou million RMB 5.4 19
Forbes Top 2000 Global Listed Companies ranking rank 476 68
Investment in construction of Guangdong, Hong Kong and Macao Greater Bay Area billion RMB 34 17
Investment in coordinated development of Beijing, Tianjin and Hebei billion RMB 57 17
Investment in major regional development strategies billion RMB 146.5 17
Investment in national science and technology self-improvement billion RMB 18 17
Investment in serving the real economy billion RMB 700 17
Number of cities covered by NCI Care for National Sanitation Workers project cities 170 22
Number of policies underwritten via WeChat payment platform 1830000 46
Related investments in serving the real economy billion RMB 200 17
Warm Heart Project - people benefited people 64540 21

Resources contributed (e.g. money or time) to the focus area.

Indicator Unit 2022 Report Pages
Amount donated in supplies to sanitation workers by branches RMB 242300 22
Cumulative sum insured donated by NCI Care for National Sanitation Workers project billion RMB 411.2 22
Major medical insurance for children in rural China - claims made claims 7903 21
Major medical insurance for children in rural China - claims settled million RMB 43.53 21
Major medical insurance for children in rural China - premiums written million RMB 64.53 21
Non-reimbursable assistance invested in Shiping County, Guizhou million RMB 4.4 19
Number of sanitation workers benefitted by NCI Care for National Sanitation Workers project workers 920000 22
Paid assistance invested in Shiping County, Guizhou million RMB 1.88 19
Total amount paid out to sanitation workers by NCI Care for National Sanitation Workers project million RMB 29.34 22
Total donation for rural revitalization by local branches RMB 378600 19
Total value of materials donated for rural revitalization by local branches RMB 217900 19
Warm Heart Project - insurance benefits paid out million RMB 204.57 21
Warm Heart Project - policies covered policies 95976 21
Warm Heart Project - premiums written million RMB 267.68 21
average advance amount for medical advances RMB 29500 37

The types of emissions and respective emissions data.

Standard Indicator Unit 2022
NOₓ Emissions tonnes 0.1
SOₓ Emissions tonnes 0.0028

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 2022
Direct GHG Emissions (Scope 1) tonnes 1147.95
Indirect Energy Emissions (Scope 2) tonnes 16978.57
Total GHG Emissions tonnes 18126.52
Total GHG Emissions Intensity (By Area) tonnes/m² 0.04
Total GHG Emissions Intensity (By Employee) tonne 0.79

Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2022
Total Hazardous Waste tonnes 5.19
Total Hazardous Waste Intensity (By Employee) tonnes/employee 0.0004

Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2022
Non-Hazardous Waste Disposed tonnes 953.35
Total Non-Hazardous Waste Intensity (By Employee) tonnes/employee 0.07

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 2021 2022
Energy Consumption Intensity (By Area) MWh/m² 0.08
Gasoline Consumption MWh 1663.24
Natural Gas Consumption MWh 2966.88
Purchased Electricity MWh 4953.84 29771.3
Total Direct Energy Consumption MWh 4630.12
Total Energy Consumption MWh 34401.41
Total Indirect Energy Consumption MWh 29771.3

Water consumption in total and intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2021 2022
Water Consumption 75786 145925.34
Water Consumption Intensity (By Revenue) tonnes/employee 11.34
Water Consumption in Office 57920

Description of energy use efficiency target(s) set and steps taken to achieve them.

Standard Indicator Unit 2023
Electricity Usage Reduction Percentage Compared to Last Year percent 2

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 2023
Target Water Consumption Reduction Percentage Compared to Last Year percent 5

Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.

Standard Indicator Unit 2022
Packaging Material Consumption (Paper) tonnes 143.68

Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.

Standard Indicator Unit 2022
Total Investment in Ecological Restoration billion RMB 28.8

Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.

Standard Indicator Unit 2022
Number of Employees Aged 30-50 employees 25047
Number of Employees Aged Above 50 employees 2053
Number of Employees Aged Below 30 employees 4508
Number of Employees in East China employees 6851
Number of Employees in North China employees 10509
Number of Employees in South China employees 7436
Number of Employees in West China employees 6812
Number of Female Employees employees 20584
Number of Male Employees employees 11024
Number of Total Employees employees 31661
Percentage of Employees Aged 30-50 % 79.13
Percentage of Employees Aged Above 50 % 6.49
Percentage of Employees Aged Below 30 % 14.24
Percentage of Employees in East China % 21.64
Percentage of Employees in North China % 33.21
Percentage of Employees in South China % 23.49
Percentage of Employees in West China % 21.52
Percentage of Female Employees % 65.04
Percentage of Male Employees % 34.81

Employee turnover rate by gender, age group and geographical region.

Standard Indicator Unit 2022
Turnover Rate of Employees Aged 30-50 % 3.04
Turnover Rate of Employees Aged Above 50 % 0.12
Turnover Rate of Employees Aged Below 30 % 2.54
Turnover Rate of Employees in East China % 1.48
Turnover Rate of Employees in North China % 1.68
Turnover Rate of Employees in South China % 1.42
Turnover Rate of Employees in West China % 1.12
Turnover Rate of Female Employees % 2.59
Turnover Rate of Male Employees % 3.11

The percentage of employees trained by gender and employee category (e.g. senior management, middle management).

Standard Indicator Unit 2022
Percentage of Employees Trained % 99.4
Percentage of Trained Male Employees % 99.3
Percentage of Trained Middle Management % 99.8
Percentage of Trained Senior Management % 100

The average training hours completed per employee by gender and employee category.

Standard Indicator Unit 2022
Average Training Hours (Female) hours 85
Average Training Hours (General Staff) hours 85
Average Training Hours (Male) hours 97
Average Training Hours (Middle Management) hours 101
Average Training Hours (Senior Management) hours 112
Total Training Hours hours 1781725

Percentage of total products sold or shipped subject to recalls for safety and health reasons.

Standard Indicator Unit 2022
Percentage of Recalled Products for Safety and Health Reasons Not Applicable

Number of products and service related complaints received and how they are dealt with.

Standard Indicator Unit 2022
Total Number of Customer Complaints complaints 120022

Resources contributed (e.g. money or time) to the focus area.

Standard Indicator Unit 2022
Investment in Targeted Poverty Alleviation million RMB 6.28
Total Cash Donations million RMB 0.3786
Total In-kind Donations million RMB 0.2179
Total Public Welfare Donations million RMB 0.5965
Total Social Investment million RMB 6.28