CORPORATE SOCIAL RESPONSIBILITY REPORT 2022
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 | m³ | 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 | m³ | 75786 | 145925.34 |
Water Consumption Intensity (By Revenue) | tonnes/employee | 11.34 | |
Water Consumption in Office | m³ | 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 |