Environmental, Social and Governance Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission Density (Ton/10000 m²) | 29.11 | 27.68 | 33.11 | 46 | |
| Emission Density (Ton/Person) | 5.88 | 6.56 | 7.82 | 46 | |
| Emission Density (Ton/RMB 1000000 Revenue) | 2.24 | 2.03 | 2.06 | 46 | |
| Emission density (Ton/10000 square meters) | Ton/10000 square meters | 29.11 | 27.68 | 33.11 | 84 |
| Emission density (Ton/RMB1000000 revenue) | Ton/RMB1000000 revenue | 2.24 | 2.03 | 2.06 | 84 |
| Emission density (Ton/person) | Ton/person | 7.82 | 6.56 | 5.88 | 84 |
| Scope 1 Greenhouse Gas Emissions | Ton | 4025.65 | 2318.42 | 2631.45 | 46 |
| Scope 1: Carbon dioxide emissions | Ton | 4025.65 | 2318.42 | 2631.45 | 84 |
| Scope 2 Greenhouse Gas Emissions | Ton | 49288.25 | 51398.86 | 76390.95 | 46 |
| Scope 2: Carbon dioxide emissions | Ton | 49288.25 | 51398.86 | 76390.95 | 84 |
| Total Greenhouse Gas Emissions | Ton | 53313.9 | 53717.28 | 79022.4 | 46 |
| Total carbon dioxide emissions | Ton | 53313.9 | 53717.28 | 79022.4 | 84 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Waste electronic and electrical equipment | Piece | 419 | 401 | 84 | |
| Waste fluorescent tubes | Piece | 19408 | 50942 | 30822 | 84 |
| Waste selenium drums and cartridges | Piece | 839 | 2633 | 1894 | 84 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Construction waste | Ton | 20578.14 | 18475.02 | 84 | |
| Recycling of Metal Construction Waste | Ton | 359.85 | 10854.26 | 84 | |
| Recycling of computers | Piece | 256 | 259 | 84 | |
| Waste furniture | Piece | 860 | 1047 | 84 | |
| Waste paper | Ton | 141.67 | 385.41 | 437.41 | 84 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Earthwork recovery | Ton | 168998 | 231576 | 84 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Canned LPG | Kg | 8598 | 45469 | 30424 | 84 |
| Canned Liquefied Petroleum Gas Consumption | kg | 30424 | 46 | ||
| Canned Liquefied Petroleum Gas Consumption Density (Per 10000 m²) | 12.75 | 46 | |||
| Canned Liquefied Petroleum Gas Consumption Density (Per RMB 1000000 Revenue) | 0.79 | 46 | |||
| Canned Liquefied Petroleum Gas Consumption Density (Per person) | 3.01 | 46 | |||
| Diesel Consumption | Litres | 30287.15 | 46 | ||
| Diesel Consumption Density (Per 10000 m²) | 12.69 | 46 | |||
| Diesel Consumption Density (Per RMB 1000000 Revenue) | 0.79 | 46 | |||
| Diesel Consumption Density (Per person) | 3 | 46 | |||
| Diesel oil | Litre | 63919.6 | 13899.55 | 30287.15 | 84 |
| Electricity Consumption | MWh | 89392.94 | 46 | ||
| Electricity Consumption Density (Per 10000 m²) | 37.45 | 46 | |||
| Electricity Consumption Density (Per RMB 1000000 Revenue) | 2.33 | 46 | |||
| Electricity Consumption Density (Per person) | 8.85 | 46 | |||
| Energy consumption intensity (MWH/10000 square meters) | MWH/10000 square meters | 1793.44 | 3530.74 | 2541.39 | 84 |
| Energy consumption intensity (MWH/RMB1000000 revenue) | MWH/RMB1000000 revenue | 138.04 | 259.27 | 158.23 | 84 |
| Energy consumption intensity (MWH/person) | MWH/person | 362.05 | 836.77 | 600.62 | 84 |
| Gasoline | Litre | 195158.9 | 500388.12 | 433220.23 | 84 |
| Gasoline Consumption | Litres | 433220.23 | 46 | ||
| Gasoline Consumption Density (Per 10000 m²) | 181.49 | 46 | |||
| Gasoline Consumption Density (Per RMB 1000000 Revenue) | 11.3 | 46 | |||
| Gasoline Consumption Density (Per person) | 42.89 | 46 | |||
| Natural Gas Consumption | m³ | 641876.45 | 46 | ||
| Natural Gas Consumption Density (Per 10000 m²) | 268.91 | 46 | |||
| Natural Gas Consumption Density (Per RMB 1000000 Revenue) | 16.74 | 46 | |||
| Natural Gas Consumption Density (Per person) | 63.55 | 46 | |||
| Natural gas | m³ | 1545522 | 4142433 | 6418745.4 | 84 |
| Pipeline Gas Consumption | m³ | 97899.8 | 46 | ||
| Pipeline Gas Consumption Density (Per 10000 m²) | 41.01 | 46 | |||
| Pipeline Gas Consumption Density (Per RMB 1000000 Revenue) | 2.55 | 46 | |||
| Pipeline Gas Consumption Density (Per person) | 9.69 | 46 | |||
| Pipeline gas | m³ | 54779.8 | 123400 | 97899.8 | 84 |
| Total Energy Consumption | MWh | 6066296.81 | 46 | ||
| Total Energy Consumption Density (Per 10000 m²) | 2541.39 | 46 | |||
| Total Energy Consumption Density (Per RMB 1000000 Revenue) | 158.23 | 46 | |||
| Total Energy Consumption Density (Per person) | 600.62 | 46 | |||
| Total electricity consumption | KWH | 54699343.91 | 58681519.78 | 89329237.86 | 84 |
| Total energy consumption | MWH | 3284483.89 | 6853175.95 | 6066296.81 | 84 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption | m³ | 2805950.55 | 1992817.17 | 3735810.17 | 84 |
| Total water consumption intensity (m³/RMB1000000 revenue) | m³/RMB1000000 revenue | 117.93 | 75.39 | 97.44 | 84 |
| Total water consumption intensity (m³/person) | m³/person | 309.3 | 243.32 | 369.88 | 84 |
| Water consumption intensity per 10000 square meters (m³/10000 square meters) | m³/10000 square meters | 1532.14 | 1026.7 | 1565.07 | 84 |
| total water consumption | m3 | 2805950.55 | 1992817.17 | 3735810.17 | 47 |
| water consumption intensity (per 10000 m2) | 1532.14 | 1026.69 | 1565.07 | 47 | |
| water consumption intensity (per RMB1000000 revenue) | 117.93 | 75.39 | 97.44 | 47 | |
| water consumption intensity (per person) | 309.3 | 243.32 | 369.88 | 47 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| energy consumption reduction (January-October) | KWh | 799193 | 47 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Area of comprehensive sand table model integrated from building models | m² | 96 | 66 |
| Number of project planning ideas presented for green housing, TOD project, large-scale business, automobile town, medical and health care town, and cultural, commercial and tourism property projects | projects | 6 | 66 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employee age group - 30 to 50 | % | 53.61 | 62 | ||
| Employee age group - over 50 | % | 8.84 | 62 | ||
| Employee age group - under 29 | % | 37.55 | 62 | ||
| Employee gender - Female | % | 66.29 | 62 | ||
| Employee gender - Male | % | 33.71 | 62 | ||
| Employee staff type - High level | % | 0.7 | 62 | ||
| Employee staff type - Junior level | % | 93.14 | 62 | ||
| Employee staff type - Middle level | % | 6.16 | 62 | ||
| Employees Overseas | person | 2 | 1 | 1 | 86 |
| Employees aged 29 years old and younger | person | 2132 | 2872 | 3793 | 86 |
| Employees aged 30-49 years old | person | 4521 | 4497 | 5414 | 86 |
| Employees aged 50 years old or older | person | 607 | 821 | 893 | 86 |
| Employees in Hong Kong, Macao and Taiwan | person | 25 | 16 | 16 | 86 |
| Employees in Mainland China | person | 7253 | 8173 | 10083 | 86 |
| Female employees | person | 2518 | 2998 | 3405 | 86 |
| Junior employees | person | 6673 | 7515 | 9407 | 86 |
| Male employees | person | 4762 | 5192 | 6695 | 86 |
| Middle management | person | 491 | 597 | 622 | 86 |
| Senior management | person | 116 | 78 | 71 | 86 |
| Total number of employees | person | 7280 | 8190 | 10100 | 62, 86 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Work-related fatalities | person | 1 | 86 | ||
| Work-related injuries | case | 18 | 6 | 8 | 86 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total number of days lost due to work-related injuries | day | 828 | 521 | 343 | 86 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Accident emergency drills (number of times) | times | 1139 | 67 |
| Accident emergency drills (person-times) | person-times | 37662 | 67 |
| Number of special operators who completed annual safety training | 530 | 67 | |
| Three-level safety education (person-times) | person-times | 21266 | 67 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Duration of Hummingbird Program training camp phase II | days | 3 | 66 | ||
| Duration of cooperation to complete building models during Hummingbird Program training camp | hours | 4 | 66 | ||
| Number of building models completed during Hummingbird Program training camp | plots | 6 | 66 | ||
| Number of employees trained | person-times | 65077 | 64 | ||
| Number of fresh graduates participating in Hummingbird Program training camp | persons | 233 | 66 | ||
| Percentage of employees who received training | 100% | 64 | |||
| Percentage of female employees attending training | percentage | 38.32 | 32.08 | 30.86 | 86 |
| Percentage of junior employees attending training | percentage | 87.47 | 83.57 | 91.46 | 86 |
| Percentage of male employees attending training | percentage | 61.68 | 67.92 | 69.14 | 86 |
| Percentage of middle management attending training | percentage | 10.22 | 15.55 | 7.51 | 86 |
| Percentage of persons attending training | percentage | 100% | 100% | 100% | 86 |
| Percentage of senior management attending training | percentage | 2.31 | 0.88 | 1.03 | 86 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average Time of Employee Training (Every Employee) | hour | 26.83 | 50.13 | 49.82 | 64 |
| Average Time of Employee Training (Female Employee) | hour | 33.36 | 39.89 | 49.97 | 64 |
| Average Time of Employee Training (Junior Employee) | hour | 25.78 | 48.28 | 48.9 | 64 |
| Average Time of Employee Training (Male Employee) | hour | 23.38 | 50.22 | 54.88 | 64 |
| Average Time of Employee Training (Middle Management) | hour | 37.46 | 64.29 | 74.63 | 64 |
| Average Time of Employee Training (Senior Management) | hour | 42.32 | 40.98 | 45.29 | 64 |
| Average employee training hours | hour | 49.82 | 64 | ||
| Average training hours - all employees | hours | 26.83 | 50.13 | 49.82 | 86 |
| Average training hours - female | hours | 33.36 | 49.97 | 39.89 | 86 |
| Average training hours - junior employees | hours | 25.78 | 48.28 | 48.9 | 86 |
| Average training hours - male | hours | 23.38 | 50.22 | 54.88 | 86 |
| Average training hours - middle management | hours | 37.46 | 74.63 | 64.29 | 86 |
| Average training hours - senior management | hours | 42.32 | 40.98 | 45.29 | 86 |
| Special safety training (person-times) | person-times | 60244 | 67 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Distribution of suppliers by region - Central China | supplier | 152 | 292 | 241 | 87 |
| Distribution of suppliers by region - Eastern China | supplier | 551 | 629 | 587 | 87 |
| Distribution of suppliers by region - Hong Kong, Macau, Taiwan and overseas | supplier | 12 | 37 | 87 | |
| Distribution of suppliers by region - Northeast China | supplier | 228 | 245 | 99 | 87 |
| Distribution of suppliers by region - Northern China | supplier | 98 | 47 | 234 | 87 |
| Distribution of suppliers by region - Northwest China | supplier | 1 | 1 | 87 | |
| Distribution of suppliers by region - Southern China | supplier | 3257 | 1391 | 2270 | 87 |
| Distribution of suppliers by region - Southwest China | supplier | 13 | 11 | 11 | 87 |
| Distribution of suppliers by region - Total | supplier | 4312 | 2616 | 3479 | 87 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of complaints received about products and services - Marketing services related complaints | case | 95 | 804 | 1253 | 87 |
| Number of complaints received about products and services - Other | case | 68 | 435 | 671 | 87 |
| Number of complaints received about products and services - Property-related complaints | case | 1123 | 2173 | 3194 | 87 |
| Number of complaints received about products and services - Quality-related complaints | case | 178 | 1333 | 972 | 87 |
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 | 2017 | Report Pages |
|---|---|---|---|
| Number of corruption cases filed or concluded | case | — | 87 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employees’ participation in public welfare/voluntary events | person - time | 2274 | 612 | 763 | 87 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Ton | 4025.65 | 2318.42 | 2631.45 |
| Indirect Energy Emissions (Scope 2) | Ton | 49288.25 | 51398.86 | 76390.95 |
| Total GHG Emissions | Ton | 53313.9 | 53717.28 | 79022.4 |
| Total GHG Emissions Intensity (By Area) | Ton/10000 square meters | 29.11 | 27.68 | 33.11 |
| Total GHG Emissions Intensity (By Employee) | Ton/person | 7.82 | 6.56 | 5.88 |
| Total GHG Emissions Intensity (By Revenue) | Ton/RMB1000000 revenue | 2.24 | 2.03 | 2.06 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Hazardous Waste (Electronic and IT Equipment) | Piece | 419 | 401 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Non-Hazardous Waste (Construction Waste) | Ton | 20578.14 | 18475.02 | |
| Non-Hazardous Waste Recycled | Ton | 359.85 | 10854.26 | |
| Paper Waste | Ton | 141.67 | 385.41 | 437.41 |
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 | 2018 | 2019 |
|---|---|---|---|
| Non-Hazardous Waste Intensity Reduction Compared to Last Year | Ton | 168998 | 231576 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Litre | 63919.6 | 13899.55 | 30287.15 |
| Energy Consumption Intensity (By Revenue) | MWH/RMB1000000 revenue | 138.04 | 259.27 | 158.23 |
| Gasoline Consumption | Litre | 195158.9 | 500388.12 | 433220.23 |
| LPG Consumption | Kg | 8598 | 45469 | 30424 |
| Natural Gas Consumption | m³ | 1545522 | 4142433 | 6418745.4 |
| Total Electricity Consumption Intensity (By Area) | MWH/10000 square meters | 1793.44 | 3530.74 | 2541.39 |
| Total Electricity Consumption Intensity (By Employee) | MWH/person | 362.05 | 836.77 | 600.62 |
| Total Energy Consumption | MWh | 3284483.89 | 6853175.95 | 6066296.81 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption | m³ | 2805950.55 | 1992817.17 | 3735810.17 |
| Water Consumption Intensity (By Revenue) | m³/RMB1000000 revenue | 117.93 | 75.39 | 97.44 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Energy Consumption Reduction Compared to Last Year | KWh | 799193 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | person | 4521 | 4497 | 5414 |
| Number of Employees Aged Above 50 | person | 607 | 821 | 893 |
| Number of Employees Aged Below 30 | person | 2132 | 2872 | 3793 |
| Number of Employees in Hong Kong, Macao and Taiwan | person | 25 | 16 | 16 |
| Number of Employees in Mainland China | person | 7253 | 8173 | 10083 |
| Number of Employees in Overseas | person | 2 | 1 | 1 |
| Number of Female Employees | person | 2518 | 2998 | 3405 |
| Number of Junior Management Employees | person | 6673 | 7515 | 9407 |
| Number of Male Employees | person | 4762 | 5192 | 6695 |
| Number of Middle Management Employees | person | 491 | 597 | 622 |
| Number of Senior Management Employees | person | 116 | 78 | 71 |
| Number of Total Employees | person | 7280 | 8190 | 10100 |
| Percentage of Employees Aged 30-50 | % | 53.61 | ||
| Percentage of Employees Aged Above 50 | % | 8.84 | ||
| Percentage of Employees Aged Below 30 | % | 37.55 | ||
| Percentage of Female Employees | % | 66.29 | ||
| Percentage of Junior Management Employees | % | 93.14 | ||
| Percentage of Male Employees | % | 33.71 | ||
| Percentage of Middle Management Employees | % | 6.16 | ||
| Percentage of Senior Management Employees | % | 0.7 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | person | 1 | ||
| Number of Fatalities of the Last 3 Years | person | 1 | 1 | 1 |
| Number of Work-related Fatalities | person | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | day | 828 | 521 | 343 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of People Receiving Training on Work Safety | persons | 530 |
| Number of Production Safety Emergency Drills | times | 1139 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Percentage of Employees Trained | percentage | 100 | 100 | 100 |
| Percentage of Trained Female Employees | percentage | 38.32 | 32.08 | 30.86 |
| Percentage of Trained General Employees | percentage | 87.47 | 83.57 | 91.46 |
| Percentage of Trained Male Employees | percentage | 61.68 | 67.92 | 69.14 |
| Percentage of Trained Middle Management | percentage | 10.22 | 15.55 | 7.51 |
| Percentage of Trained Senior Management | percentage | 2.31 | 0.88 | 1.03 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour | 33.36 | 49.97 | 49.97 |
| Average Training Hours (General Staff) | hour | 25.78 | 48.28 | 48.9 |
| Average Training Hours (Male) | hour | 23.38 | 50.22 | 54.88 |
| Average Training Hours (Middle Management) | hour | 37.46 | 74.63 | 74.63 |
| Average Training Hours (Senior Management) | hour | 42.32 | 40.98 | 45.29 |
| Average Training Hours per Employee | hour | 26.83 | 50.13 | 49.82 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Suppliers in Central China | supplier | 152 | 292 | 241 |
| Number of Suppliers in East China | supplier | 551 | 629 | 587 |
| Number of Suppliers in North China | supplier | 98 | 47 | 234 |
| Number of Suppliers in Northeast China | supplier | 228 | 245 | 99 |
| Number of Suppliers in Northwest China | supplier | 1 | 1 | |
| Number of Suppliers in South China | supplier | 3257 | 1391 | 2270 |
| Number of Suppliers in Southwest China | supplier | 13 | 11 | 11 |
| Number of Total Suppliers | supplier | 4312 | 2616 | 3479 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Complaint Growth Rate | percent | 224.1 | 28.4 | |
| Number of Product Quality Complaints | case | 178 | 1333 | 972 |
| Number of Products and Service Related Complaints | case | 1464 | 4745 | 6090 |
| Total Number of Customer Complaints | case | 1464 | 4745 | 6090 |