2022 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Air emissions (overall) | kg | 9746 | 97 | ||
| Carbon monoxide (CO) emissions | Kg | 3634 | 3745 | 2194 | 132 |
| Hydrocarbon (HC) emissions | Kg | 57 | 56 | 37 | 132 |
| Nitrogen oxide (NOx) emissions | Kg | 1247 | 928 | 522 | 132 |
| Particulate matters (PM) emissions | Kg | 11189 | 10909 | 6340 | 132 |
| Sulfur oxides (SOx) emissions | Kg | 12 | 9 | 6 | 132 |
| Volatile organic compounds (VOC) emissions | Kg | 1046 | 1113 | 647 | 132 |
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 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Carbon emissions (overall) | tonnes | 21510 | 97 | ||
| Direct GHG emissions (Scope 1) | Tonne | 1717 | 1608 | 997 | 132 |
| Direct GHG emissions (Scope 1) intensity (per square meter of gross floor area of construction and offices) | 0.00006 | 0.00006 | 0.00005 | 132 | |
| Indirect GHG emissions (Scope 2) | Tonne | 32998 | 33381 | 20513 | 132 |
| Indirect GHG emissions (Scope 2) intensity (per square meter of gross floor area of construction and offices) | 0.0012 | 0.00127 | 0.00094 | 132 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Asbestos (Construction hazardous waste) | Tonne | 2.23 | 2.32 | 1.35 | 133 |
| Fluorescent light tubes (Construction hazardous waste) | Tonne | 1.78 | 1.79 | 1.04 | 133 |
| Ink cartridges (Office hazardous waste) | Tonne | 2.15 | 2.08 | 1.35 | 133 |
| Toner cartridges (Office hazardous waste) | Tonne | 4.14 | 4.03 | 3.12 | 133 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Asphalt (Construction non-hazardous waste) | Tonne | 530 | 546 | 329 | 133 |
| Building debris (Construction non-hazardous waste) | Tonne | 49819 | 50358 | 29869 | 133 |
| Concrete (Construction non-hazardous waste) | Tonne | 350479 | 352273 | 206811 | 133 |
| Earth (Construction non-hazardous waste) | Tonne | 1676351 | 1694144 | 1047463 | 133 |
| Metal scrap (Construction non-hazardous waste) | Tonne | 1749 | 1803 | 1126 | 133 |
| Non-hazardous and hazardous wastes intensity | tonne per square meter | 0.059 | 97 | ||
| Paper (Office non-hazardous waste) | Tonne | 51 | 51 | 40.38 | 133 |
| Paper cups (Office non-hazardous waste) | Tonne | 4.57 | 4.12 | 3.2 | 133 |
| Plastic bottles (Office non-hazardous waste) | Tonne | 1.7 | 1.13 | 0.78 | 133 |
| Rubble (Construction non-hazardous waste) | Tonne | 6.72 | 6.87 | 3.99 | 133 |
| Sewage discharge | Tonne | 832198 | 844502 | 655837 | 132 |
| Wood (Construction non-hazardous waste) | Tonne | 4552 | 4674 | 2798 | 133 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2027 | Report Pages |
|---|---|---|---|
| Air emissions (overall) target reduction from 2022 | % | -10 | 97 |
| Carbon emissions (overall) target reduction from 2022 | % | -10 | 97 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2027 | Report Pages |
|---|---|---|---|---|
| Non-hazardous and hazardous wastes intensity target reduction from 2022 | % | -8 | 97 | |
| Wastewater emissions (overall) | tonnes | 655837 | 97 | |
| Wastewater emissions (overall) target reduction from 2022 | % | -10 | 97 |
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 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Diesel consumption of building | liter | 165088 | 167281 | 97214 | 134 |
| Diesel intensity (per square meter of gross floor area of construction) for building | 0.006 | 0.0064 | 0.0045 | 134 | |
| Electricity consumption savings from 17 air conditioners with timers in Shenzhen Carat Complex and Shenzhen Masterpiece | RMB | 239600 | 117 | ||
| Electricity consumption savings from optimizing water supply equipment in Southwest Masterpiece | RMB | 42000 | 117 | ||
| Electricity consumption savings from replacing 680 radar sensor lights in Zhuhai Acesite Lake underground garage | RMB | 31000 | 117 | ||
| Electricity consumption savings from suspension of commercial transformers in Shenzhen Acesite Park | RMB | 420000 | 117 | ||
| Electricity intensity (per square meter of gross floor area of construction) for building | 2.1434 | 2.2796 | 1.5916 | 134 | |
| Electricity intensity (per square meter of gross floor area of construction) for office | 91.3484 | 117.3411 | 136.1387 | 134 | |
| Estimated reduction in electricity consumption for the Year | 35% | 117 | |||
| Gasoline consumption of building | liter | 114094 | 107886 | 62697 | 134 |
| Gasoline consumption of office | liter | 374586 | 356678 | 236745 | 134 |
| Gasoline intensity (per square meter of gross floor area of construction) for building | 0.0042 | 0.0041 | 0.0029 | 134 | |
| Gasoline intensity (per square meter of gross floor area of construction) for office | 6.0417 | 7.7716 | 7.2284 | 134 | |
| Natural gas consumption of building | cubic meter | 20969 | 20915 | 12155 | 134 |
| Natural gas consumption of office | cubic meter | 64840 | 36547 | 19846 | 134 |
| Natural gas intensity (per square meter of gross floor area of construction) for building | 0.0008 | 0.0008 | 0.0006 | 134 | |
| Natural gas intensity (per square meter of gross floor area of construction) for office | 1.0458 | 0.7963 | 0.6059 | 134 | |
| Total electricity consumption of building | kWh | 58685882 | 59678411 | 34681343 | 134 |
| Total electricity consumption of office | kWh | 5663611 | 5385509 | 4458815 | 134 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Intensity (per square meter of gross floor area of construction) - Water consumption | 0.1878 | 0.2013 | 0.1512 | 135 | |
| Intensity (per square meter of gross floor area of construction) - Water consumption of office | 1.7539 | 2.2372 | 2.9245 | 135 | |
| Water consumption | cubic meter | 5142533 | 5271106 | 3294544 | 135 |
| Water consumption of office | cubic meter | 108744 | 102675 | 95782 | 135 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Electricity bill savings from energy conservation measures | RMB million | 2737 | 117 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Distribution of employees by age - Aged 30 to 49 | % | 80 | 49 | |||||||||
| Distribution of employees by age - Aged 50 or above | % | 4 | 49 | |||||||||
| Distribution of employees by age - Aged below 30 | % | 16 | 49 | |||||||||
| Distribution of employees by position - General staff | % | 64 | 49 | |||||||||
| Distribution of employees by position - Middle-level staff and management | % | 33 | 49 | |||||||||
| Distribution of employees by position - Senior management | % | 3 | 49 | |||||||||
| Distribution of employees by region - HKSAR | % | 1 | 49 | |||||||||
| Distribution of employees by region - Mainland China | % | 98 | 49 | |||||||||
| Distribution of employees by region - Singapore | % | 1 | 49 | |||||||||
| Employee employment for the year, 30–49 | person | 1331 | 808 | 205 | 136 | |||||||
| Employee employment for the year, 50 or above | person | 1 | 3 | 136 | ||||||||
| Employee employment for the year, Below 30 | person | 482 | 81 | 136 | ||||||||
| Employee employment for the year, Female | person | 407 | 113 | 136 | ||||||||
| Employee employment for the year, Hong Kong Special Administrative Region | person | 1331 | 15 | 136 | ||||||||
| Employee employment for the year, Mainland China | person | 1291 | 271 | 136 | ||||||||
| Employee employment for the year, Male | person | 1331 | 884 | 176 | 136 | |||||||
| Employee employment for the year, Singapore | person | 3 | 136 | |||||||||
| Employee gender ratio - Female | % | 32 | 49 | |||||||||
| Employee gender ratio - Male | % | 68 | 49 | |||||||||
| Number of members in Pinpinwang community e-commerce platform | million | 3 | 69 | |||||||||
| Rank in China Mainland TOP 10 Real Estate Company Listed in Hong Kong by Investment Value | 3 | 3 | 10 | |||||||||
| Rank in Forbes Global 1000 | 748 | 10 | ||||||||||
| Rank in Top 100 Chinese Real Estate Enterprises | 46 | 40 | 38 | 32 | 29 | 26 | 23 | 22 | 10, 11 | |||
| Rank in Top 500 Enterprises in China | 266 | 161 | 10 | |||||||||
| Total number of full-time staff | 2361 | 49 | ||||||||||
| Total workforce - Age group 30–49 | person | 1881 | 2111 | 1885 | 135 | |||||||
| Total workforce - Age group 50 or above | person | 440 | 58 | 84 | 135 | |||||||
| Total workforce - Age group below 30 | person | 678 | 728 | 392 | 135 | |||||||
| Total workforce - Female | person | 904 | 951 | 749 | 135 | |||||||
| Total workforce - General employee | person | 2087 | 1858 | 1522 | 135 | |||||||
| Total workforce - Hong Kong Special Administrative Region | person | 46 | 43 | 35 | 135 | |||||||
| Total workforce - Mainland China | person | 2936 | 2837 | 2313 | 135 | |||||||
| Total workforce - Male | person | 2095 | 1946 | 1612 | 135 | |||||||
| Total workforce - Middle level staff and management | person | 844 | 983 | 779 | 135 | |||||||
| Total workforce - Senior management | person | 68 | 56 | 60 | 135 | |||||||
| Total workforce - Singapore | person | 17 | 17 | 13 | 135 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Employee resignation for the year, 30–49 | person | 881 | 962 | 1289 | 136 |
| Employee resignation for the year, 50 or above | person | 15 | 25 | 136 | |
| Employee resignation for the year, Below 30 | person | 416 | 433 | 136 | |
| Employee resignation for the year, Female | person | 881 | 421 | 530 | 136 |
| Employee resignation for the year, Hong Kong Special Administrative Region | person | 881 | 3 | 15 | 136 |
| Employee resignation for the year, Mainland China | person | 1390 | 1725 | 136 | |
| Employee resignation for the year, Male | person | 881 | 972 | 1217 | 136 |
| Employee resignation for the year, Singapore | person | 7 | 136 |
Lost days due to work injury.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work injury | work days | 560 | 543.5 | 75 | 137 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Safety risk assessments conducted by head office | 120 | 6 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Monolith Cloud Engineering Quality Management System users | users | 12043 | 6 | ||
| Percentage of employees trained | 100% | 65 | |||
| Percentage of employees trained (Female) | percentage | 97% | 100% | 100% | 137 |
| Percentage of employees trained (General employee) | percentage | 99% | 100% | 100% | 137 |
| Percentage of employees trained (Male) | percentage | 98% | 100% | 100% | 137 |
| Percentage of employees trained (Middle level staff and management) | percentage | 97% | 100% | 100% | 137 |
| Percentage of employees trained (Senior management) | percentage | 74% | 100% | 100% | 137 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Average number of training hours for employees | hours | 36 | 65 | ||
| Average training hours of employees (Female) | hour | 36.5 | 35.58 | 36 | 137 |
| Average training hours of employees (General employee) | hour | 28.5 | 35 | 36.2 | 137 |
| Average training hours of employees (Male) | hour | 35.67 | 35.9 | 36 | 137 |
| Average training hours of employees (Middle level staff and management) | hour | 53.99 | 37.3 | 35.94 | 137 |
| Average training hours of employees (Senior management) | hour | 45 | 36 | 31.8 | 137 |
| Completion rate of annual training plan | 100% | 65 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of Logan Convenience Centers established | 35 | 69 | |||
| Proportion of local suppliers in China out of total suppliers | 99% | 94 | |||
| Total number of suppliers in Hong Kong | person | 4 | 137 | ||
| Total number of suppliers in Mainland China | person | 2149 | 3485 | 4285 | 137 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Total amount of green procurement | million RMB | 430 | 94 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2012 | Report Pages |
|---|---|---|---|
| Sales exceeding | billion RMB | 10 | 11 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Service complaints received | case | 634 | 603 | 682 | 137 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Improvement in housing quality indicator compared with 2021 | 2.78 | 69 | |
| Improvement in warranty service indicator compared with 2021 | 12.4 | 69 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|
| Concluded legal cases regarding corrupt practices | case | 2 | 1⁹ | 137 | |||
| Guangdong Top 20 Creditworthy Real Estate Enterprises (consecutive years) | years | 16 | 17 | 18 | 19 | 10 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Diverse community cultural and recreational activities organized | activities | 3740 | 6 | |||||
| ESG rating by MSCI | BB | BBB | A | 10 | ||||
| Number of diversified community recreational activities organized | sessions | 3740 | 69 | |||||
| Number of property owners attracted by community recreational activities | million | 2.22 | 69 | |||||
| Property owners enriched by community effort | million property owners | 2.22 | 6 | |||||
| Top 100 Chinese Real Estate Enterprises — Top 10 in Profitability (consecutive years) | years | 6 | 7 | 8 | 9 | 10, 11 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Cumulative contribution donated by Logan Group and Logan Charity Fund | RMB | 1619700 | 126 |
| Cumulative contribution of Logan Group (subset of total donation) | RMB | 975700 | 126 |
| Individuals received services from volunteers (Logan Group) | individuals | 20128 | 126 |
| Number of construction site open day activities organized | 50 | 69 | |
| Voluntary service hours accumulated | hours | 45830 | 6 |
| Voluntary services by volunteers | services | 20128 | 6 |
| Volunteer service hours (Logan Group) | hours | 45830 | 126 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Kg | 11189 | 10909 | 6340 |
| NOₓ Emissions | Kg | 1247 | 928 | 522 |
| SOₓ Emissions | Kg | 12 | 9 | 6 |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne | 1717 | 1608 | 997 |
| Indirect Energy Emissions (Scope 2) | tonne | 32998 | 33381 | 20513 |
| Scope 1 GHG Emissions Intensity (By Area) | 0.00006 | 0.00006 | 0.00005 | |
| Scope 2 GHG Emissions Intensity (By Area) | 0.0012 | 0.00127 | 0.00094 | |
| Total GHG Emissions | tonnes | 21510 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Hazardous Waste (Office) | Tonne | 6.29 | 6.11 | 4.47 |
| Total Hazardous Waste | Tonne | 10.3 | 10.22 | 6.86 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Non-Hazardous Waste (Construction Waste) | Tonne | 2062526.72 | 2102604.87 | 1282339.99 |
| Non-Hazardous Waste (Office Waste) | Tonne | 57.27 | 56.25 | 44.36 |
| Paper Waste | Tonne | 55.57 | 55.12 | 43.58 |
| Plastic Waste | Tonne | 1.7 | 1.13 | 0.78 |
| Total Non-Hazardous Waste Intensity (By Area) | tonne per square meter | 0.059 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2027 |
|---|---|---|
| Target CO2 Emissions Reduction Percentage Compared to Last Year | % | 10 |
| Target GHG Emissions Reduction Percentage Compared to Last Year | % | 10 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2027 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | -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).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Diesel Fuel Consumption | liter | 165088 | 167281 | 97214 |
| Gasoline Consumption | liter | 114094 | 356678 | 62697 |
| Natural Gas Consumption | cubic meter | 20969 | 20915 | 12155 |
| Purchased Electricity | kWh | 5663611 | 5385509 | 4458815 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Water Consumption | cubic meter | 5142533 | 5271106 | 3294544 |
| Water Consumption in Office | cubic meter | 108744 | 102675 | 95782 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | RMB million | 2737 |
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 |
|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | percent |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | person | 1881 | 2111 | 1885 |
| Number of Employees Aged Above 50 | person | 440 | 58 | 84 |
| Number of Employees Aged Below 30 | person | 678 | 728 | 392 |
| Number of Employees in Hong Kong | person | 46 | 43 | 35 |
| Number of Employees in Mainland China | person | 2936 | 2837 | 2313 |
| Number of Employees in Singapore | person | 17 | 17 | 13 |
| Number of Female Employees | person | 904 | 951 | 749 |
| Number of Full-time Employees | 2361 | |||
| Number of General Employees | person | 2087 | 1858 | 1522 |
| Number of Male Employees | person | 2095 | 1946 | 1612 |
| Number of Middle Management Employees | person | 844 | 983 | 779 |
| Number of Senior Management Employees | person | 68 | 56 | 60 |
| Number of Total Employees | person | 3054 | 2897 | 2361 |
| Percentage of Employees Aged 30-50 | % | 80 | ||
| Percentage of Employees Aged Above 50 | % | 4 | ||
| Percentage of Employees Aged Below 30 | % | 16 | ||
| Percentage of Employees in Hong Kong | % | 1 | ||
| Percentage of Employees in Mainland China | % | 98 | ||
| Percentage of Employees in Singapore | % | 1 | ||
| Percentage of Female Employees | % | 32 | ||
| Percentage of General Employees | % | 64 | ||
| Percentage of Male Employees | % | 68 | ||
| Percentage of Middle Management Employees | % | 33 | ||
| Percentage of Senior Management Employees | % | 3 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | person | 962 | 1289 | |
| Turnover Rate of Employees Aged Above 50 | person | 15 | 25 | |
| Turnover Rate of Employees Aged Below 30 | person | 416 | 433 | |
| Turnover Rate of Employees in Hong Kong | person | 881 | 3 | 15 |
| Turnover Rate of Employees in Mainland China | person | 1390 | 1725 | |
| Turnover Rate of Employees in Singapore | person | 7 | ||
| Turnover Rate of Female Employees | person | 881 | 421 | 530 |
| Turnover Rate of Male Employees | person | 881 | 972 | 1217 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | work days | 560 | 543.5 | 75 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Percentage of Employees Trained | percentage | 99 | 100 | 100 |
| Percentage of Trained Female Employees | percentage | 97 | 100 | 100 |
| Percentage of Trained General Employees | percentage | 99 | 100 | 100 |
| Percentage of Trained Male Employees | percentage | 98 | 100 | 100 |
| Percentage of Trained Middle Management | percentage | 97 | 100 | 100 |
| Percentage of Trained Senior Management | percentage | 74 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour | 36.5 | 35.58 | 36 |
| Average Training Hours (General Employees) | hour | 28.5 | 35 | 36.2 |
| Average Training Hours (Male) | hour | 35.67 | 35.9 | 36 |
| Average Training Hours (Middle Management) | hour | 53.99 | 37.3 | 35.94 |
| Average Training Hours (Senior Management) | hour | 45 | 36 | 31.8 |
| Average Training Hours per Employee | hours | 36 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Suppliers in Hong Kong | person | 4 | ||
| Number of Suppliers in Mainland China | person | 2149 | 3485 | 4285 |
| Number of Total Suppliers | person | 2149 | 3485 | 4289 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Products and Service Related Complaints | case | 634 | 603 | 682 |
| Total Number of Customer Complaints | case | 634 | 603 | 682 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Standard Indicator | Unit | 2021 | 2022 |
|---|---|---|---|
| Number of Concluded Corruption Lawsuits | case | 2 | 1 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Participations in Volunteer Activities | person-times | 20128 |
| Number of Volunteer Activities Sessions | 50 | |
| Total Public Welfare Donations | RMB | 1619700 |
| Total Social Investment | RMB | 1619700 |
| Total Volunteer Service Hours | hours | 45830 |