2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Carbon Monoxide (CO) emissions from vehicles | Kilogram | 969 | 2753 | 28 |
Dust emissions from clean heat supply projects | Tonnes | 28.54 | 16.99 | 28 |
Nitrogen Oxides (NOx) emissions from clean heat supply projects | Tonnes | 189.54 | 226.22 | 28 |
Nitrogen Oxides (NOx) emissions from vehicles | Kilogram | 74.22 | 686.25 | 28 |
PM10 Particulates emissions from vehicles | Kilogram | 9.37 | 20.71 | 28 |
PM2.5 Particulates emissions from vehicles | Kilogram | 9.1 | 18.99 | 28 |
Reduction of Sulfur dioxide emissions by approximately | Tonnes | 751 | 1444 | 19 |
Reduction of nitrogen oxide emissions by approximately | Tonnes | 722 | 1333 | 19 |
Sulfur Oxides (SOx) emissions from clean heat supply projects | Tonnes | 80.87 | 99.83 | 28 |
Sulfur Oxides (SOx) emissions from vehicles | Kilogram | 3.65 | 3.81 | 28 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Coal emissions (Scope 1) | Tonnes carbon dioxide equivalent (CO₂-e) | 830877 | 722530 | 25 |
Emissions from vehicles in clean heat supply projects (Scope 1) | Tonnes carbon dioxide equivalent (CO₂-e) | 111.03 | 106.9 | 25 |
Emissions from vehicles in power plants and offices (Scope 1) | Tonnes carbon dioxide equivalent (CO₂-e) | 551.65 | 484.01 | 25 |
Greenhouse gas emission intensity of the clean heat supply projects | Tonnes carbon dioxide equivalent (CO2-e)/Revenue (HKD million) | 165.8 | 212.31 | 27 |
Greenhouse gas emission intensity of the power plants and offices | Tonnes carbon dioxide equivalent (CO2-e)/Revenue (HKD million) | 3.66 | 3.74 | 27 |
Natural gas emissions (Scope 1) | Tonnes carbon dioxide equivalent (CO₂-e) | 26739 | 56068 | 25 |
Reduction of carbon dioxide emissions by approximately | Tonnes | 2438228 | 3043678 | 19 |
Scope 2 Greenhouse Gases Emissions - Emissions from electricity use in clean heat supply projects | Tonnes carbon dioxide equivalent (CO₂-e) | 34387 | 57314 | 26 |
Scope 2 Greenhouse Gases Emissions - Emissions from electricity use in power plants and offices | Tonnes carbon dioxide equivalent (CO₂-e) | 25008 | 23237 | 26 |
Scope 2 Greenhouse Gases Emissions - Heat consumption | Tonnes carbon dioxide equivalent (CO₂-e) | 265433 | 509108 | 26 |
Scope 2 Greenhouse Gases Emissions - Total emissions | Tonnes carbon dioxide equivalent (CO₂-e) | 324848 | 589659 | 26 |
Total emissions (Scope 1 & Scope 2) | Tonnes carbon dioxide equivalent (CO2-e) | 1183126 | 1368849 | 27 |
Total greenhouse gas emissions (Scope 1) | Tonnes carbon dioxide equivalent (CO₂-e) | 858279 | 779189 | 25 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Boiler slag generated from clean heat supply projects | Tonnes | 55709 | 64664 | 31 |
Coal ash generated from clean heat supply projects | Tonnes | 10935 | 23039 | 31 |
Office waste generated from clean heat supply projects | Tonnes | 5.08 | 31 | |
Office waste generated from headquarter offices | Tonnes | 0.75 | 29.2 | 31 |
Office waste generated from photovoltaic power projects | Tonnes | 4.22 | 6.9 | 31 |
Office waste generated from wind power projects | Tonnes | 0.24 | 0.28 | 31 |
Office waste generation intensity | Kilogram/Revenue (HKD million) | 1.47 | 5.74 | 31 |
Office waste recycled from clean heat supply projects | Tonnes | 5.08 | 31 | |
Office waste recycled from headquarter offices | Tonnes | 29.2 | 31 | |
Office waste recycled from photovoltaic power projects | Tonnes | 4.02 | 6.18 | 31 |
Office waste recycled from wind power projects | Tonnes | 0.2 | 31 | |
Wastewater discharged by clean heat supply projects | Tonnes | 9690 | 233930 | 28 |
Wastewater discharged by photovoltaic power plants | Tonnes | 32543 | 8670 | 28 |
Wastewater discharged by wind power plants | Tonnes | 1099 | 1120 | 28 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Clean heat supply projects electricity consumption | Megawatt hour | 43063 | 93943 | 21 |
Coal consumption by clean heat supply projects | Tonnes | 310667 | 393297 | 23 |
Coal consumption intensity in clean heat supply projects | Tonnes/Revenue (HKD million) | 44.51 | 62.08 | 23 |
Energy consumption intensity in clean heat supply projects | Megawatt hour/Revenue (HKD million) | 6.17 | 14.83 | 21 |
Energy consumption intensity in power plants and headquarter offices | Megawatt hour/Revenue (HKD million) | 4.88 | 6.01 | 21 |
Headquarter offices electricity consumption | Megawatt hour | 142 | 165 | 21 |
Natural gas consumption by clean heat supply projects | Cubic meter (Ten thousand) | 1237 | 2593 | 23 |
Natural gas consumption intensity in clean heat supply projects | Cubic meter (Ten thousand)/Revenue (HKD million) | 0.18 | 0.4 | 23 |
Photovoltaic power plants electricity consumption | Megawatt hour | 32602 | 34339 | 21 |
Photovoltaic power plants electricity generation | Megawatt hour | 2691338 | 3243652 | 19 |
Purchased hot water consumption by clean heat supply projects | Giga-Joule | 1959269 | 4204867 | 23 |
Purchased hot water consumption intensity in clean heat supply projects | Giga-Joule/Revenue (HKD million) | 280.69 | 663.69 | 23 |
Purchased steam consumption by clean heat supply projects | Giga-Joule | 453938 | 423386 | 23 |
Purchased steam consumption intensity in clean heat supply projects | Giga-Joule/Revenue (HKD million) | 65.03 | 66.83 | 23 |
Reduction of standard coal by approximately | Tonnes | 889780 | 1155265 | 19 |
Total fuel consumption intensity in clean heat supply projects | Giga-Joule/Revenue (HKD million) | 0.23 | 0.22 | 22 |
Total fuel consumption intensity in power plants and offices | Giga-Joule/Revenue (HKD million) | 0.92 | 0.98 | 22 |
Vehicles usage in clean heat supply projects (diesel consumption) | Liter | 17533 | 5086 | 22 |
Vehicles usage in clean heat supply projects (fuel consumption) | Liter | 29403 | 40606 | 22 |
Vehicles usage in offices (fuel consumption) | Liter | 13454 | 7569 | 22 |
Vehicles usage in photovoltaic power plants (diesel consumption) | Liter | 13458 | 22 | |
Vehicles usage in photovoltaic power plants (fuel consumption) | Liter | 177184 | 166437 | 22 |
Vehicles usage in wind power plants (diesel consumption) | Liter | / | 1398 | 22 |
Vehicles usage in wind power plants (fuel consumption) | Liter | 9547 | 18206 | 22 |
Wind power plants electricity consumption | Megawatt hour | 1289 | 3583 | 21 |
Wind power plants electricity generation | Megawatt hour | 197558 | 459119 | 19 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Water consumption intensity in clean heat supply projects | Tonnes/Revenue (HKD million) | 128.97 | 244.69 | 21 |
Water consumption intensity in power plants | Tonnes/Revenue (HKD million) | 6.45 | 2.9 | 21 |
Water consumption of clean heat supply projects | Tonnes | 900268 | 1550281 | 21 |
Water consumption of photovoltaic power plants | Tonnes | 42554 | 13771 | 21 |
Water consumption of wind power plants | Tonnes | 2444 | 4600 | 21 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Total Workforce | persons | 2466 | 2059 | 41 |
Total Workforce - Age 18-25 Years Old | persons | 295 | 183 | 41 |
Total Workforce - Age 26-34 Years Old | persons | 1243 | 804 | 41 |
Total Workforce - Age 35 Years Old or Above | persons | 928 | 1072 | 41 |
Total Workforce - Contract and Temporary Employee | persons | 437 | 324 | 41 |
Total Workforce - Female | persons | 488 | 493 | 41 |
Total Workforce - General Employee | persons | 1828 | 1636 | 41 |
Total Workforce - Male | persons | 1978 | 1566 | 41 |
Total Workforce - Middle Management | persons | 191 | 86 | 41 |
Total Workforce - Senior Management | persons | 10 | 13 | 41 |
Total Workforce in 2019 by Birthplace: Anhui | persons | 38 | 42 | |
Total Workforce in 2019 by Birthplace: Beijing | persons | 101 | 42 | |
Total Workforce in 2019 by Birthplace: Gansu | persons | 8 | 42 | |
Total Workforce in 2019 by Birthplace: Guangdong | persons | 1 | 42 | |
Total Workforce in 2019 by Birthplace: Guangxi | persons | 2 | 42 | |
Total Workforce in 2019 by Birthplace: Guizhou | persons | 11 | 42 | |
Total Workforce in 2019 by Birthplace: Hainan | persons | 1 | 42 | |
Total Workforce in 2019 by Birthplace: Hebei | persons | 265 | 42 | |
Total Workforce in 2019 by Birthplace: Heilongjiang | persons | 58 | 42 | |
Total Workforce in 2019 by Birthplace: Henan | persons | 76 | 42 | |
Total Workforce in 2019 by Birthplace: Hong Kong | persons | 10 | 42 | |
Total Workforce in 2019 by Birthplace: Hubei | persons | 26 | 42 | |
Total Workforce in 2019 by Birthplace: Hunan | persons | 5 | 42 | |
Total Workforce in 2019 by Birthplace: Inner Mongolia | persons | 432 | 42 | |
Total Workforce in 2019 by Birthplace: Jiangsu | persons | 36 | 42 | |
Total Workforce in 2019 by Birthplace: Jiangxi | persons | 19 | 42 | |
Total Workforce in 2019 by Birthplace: Jilin | persons | 120 | 42 | |
Total Workforce in 2019 by Birthplace: Liaoning | persons | 294 | 42 | |
Total Workforce in 2019 by Birthplace: Ningxia | persons | 84 | 42 | |
Total Workforce in 2019 by Birthplace: Qinghai | persons | 3 | 42 | |
Total Workforce in 2019 by Birthplace: Shaanxi | persons | 83 | 42 | |
Total Workforce in 2019 by Birthplace: Shandong | persons | 120 | 42 | |
Total Workforce in 2019 by Birthplace: Shanxi | persons | 230 | 42 | |
Total Workforce in 2019 by Birthplace: Sichuan | persons | 10 | 42 | |
Total Workforce in 2019 by Birthplace: Tianjin | persons | 11 | 42 | |
Total Workforce in 2019 by Birthplace: Tibet | persons | 5 | 42 | |
Total Workforce in 2019 by Birthplace: Xinjiang | persons | 3 | 42 | |
Total Workforce in 2019 by Birthplace: Yunnan | persons | 6 | 42 | |
Total Workforce in 2019 by Birthplace: Zhejiang | persons | 1 | 42 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Total Employee Turnover by Gender: Female | persons | 185 | 203 | 42 |
Total Employee Turnover by Gender: Male | persons | 514 | 653 | 42 |
Total Employee Turnover in 2019, Anhui | persons | 12 | 43 | |
Total Employee Turnover in 2019, Beijing | persons | 74 | 43 | |
Total Employee Turnover in 2019, Fujian | persons | 8 | 43 | |
Total Employee Turnover in 2019, Gansu | persons | 8 | 43 | |
Total Employee Turnover in 2019, Guizhou | persons | 13 | 43 | |
Total Employee Turnover in 2019, Hebei | persons | 74 | 43 | |
Total Employee Turnover in 2019, Heilongjiang | persons | 10 | 43 | |
Total Employee Turnover in 2019, Henan | persons | 34 | 43 | |
Total Employee Turnover in 2019, Hong Kong | persons | 3 | 43 | |
Total Employee Turnover in 2019, Hubei | persons | 18 | 43 | |
Total Employee Turnover in 2019, Hunan | persons | 11 | 43 | |
Total Employee Turnover in 2019, Inner Mongolia | persons | 27 | 43 | |
Total Employee Turnover in 2019, Jiangsu | persons | 21 | 43 | |
Total Employee Turnover in 2019, Jiangxi | persons | 15 | 43 | |
Total Employee Turnover in 2019, Jilin | persons | 14 | 43 | |
Total Employee Turnover in 2019, Liaoning | persons | 249 | 43 | |
Total Employee Turnover in 2019, Ningxia | persons | 5 | 43 | |
Total Employee Turnover in 2019, Qinghai | persons | 1 | 43 | |
Total Employee Turnover in 2019, Shaanxi | persons | 18 | 43 | |
Total Employee Turnover in 2019, Shandong | persons | 76 | 43 | |
Total Employee Turnover in 2019, Shanxi | persons | 97 | 43 | |
Total Employee Turnover in 2019, Sichuan | persons | 20 | 43 | |
Total Employee Turnover in 2019, Tianjin | persons | 7 | 43 | |
Total Employee Turnover in 2019, Tibet | persons | 1 | 43 | |
Total Employee Turnover in 2019, Xinjiang | persons | 3 | 43 | |
Total Employee Turnover in 2019, Yinchuan | persons | 28 | 43 | |
Total Employee Turnover in 2019, Yunnan | persons | 6 | 43 | |
Total Employee Turnover in 2019, Zhejiang | persons | 3 | 43 | |
Total Employee Turnover, 18-25 Years Old | persons | 110 | 69 | 43 |
Total Employee Turnover, 26-34 Years Old | persons | 405 | 342 | 43 |
Total Employee Turnover, 35 Years Old or Above | persons | 184 | 445 | 43 |
Total Employee Turnover, All Ages | persons | 699 | 856 | 43 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Average hours of training completed by each employee (Contract and Temporary Employee) | hours | 8.26 | 48 | |
Average hours of training completed by each employee (Female) | hours | 11.25 | 19.79 | 48 |
Average hours of training completed by each employee (General Employee) | hours | 23.42 | 48 | |
Average hours of training completed by each employee (Male) | hours | 12.72 | 23.38 | 48 |
Average hours of training completed by each employee (Middle Management) | hours | 42.8 | 48 | |
Average hours of training completed by each employee (Senior Management) | hours | 43.05 | 48 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
NOₓ Emissions | Kilogram | 189540 | 226220 |
PM10 Emissions | Kilogram | 9.37 | 20.71 |
PM2.5 Emissions | Kilogram | 9.1 | 18.99 |
SOₓ Emissions | Kilogram | 80870 | 3.81 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes carbon dioxide equivalent (CO₂-e) | 858279 | 779189 |
GHG Emissions from Natural Gas | Tonnes carbon dioxide equivalent (CO₂-e) | 26739 | 56068 |
Indirect Energy Emissions (Scope 2) | Tonnes carbon dioxide equivalent (CO₂-e) | 324848 | 589659 |
Mobile Combustion Emissions | Tonnes carbon dioxide equivalent (CO₂-e) | 662.68 | 590.91 |
Scope 1 GHG Emissions Intensity (By Revenue) | Tonnes carbon dioxide equivalent (CO2-e)/Revenue (HKD million) | 169.46 | 216.05 |
Stationary Combustion Emissions | Tonnes carbon dioxide equivalent (CO₂-e) | 857616 | 778598 |
Total GHG Emissions | Tonnes carbon dioxide equivalent (CO2-e) | 1183126 | 1368849 |
Total GHG Emissions Intensity (By Revenue) | Tonnes carbon dioxide equivalent (CO2-e)/Revenue (HKD million) | 169.46 | 216.05 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Non-Hazardous Waste (Office Waste) | Tonnes | 10.29 | 36.38 |
Non-Hazardous Waste Recycled | Tonnes | 9.1 | 35.58 |
Total Non-Hazardous Waste Intensity (By Revenue) | Kilogram/Revenue (HKD million) | 1.47 | 5.74 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Coal Consumption | Tonnes | 310667 | 393297 |
Diesel Fuel Consumption | Liter | None | 1398 |
Energy Consumption Intensity (By Revenue) | Megawatt hour/Revenue (HKD million) | 4.88 | 6.01 |
Natural Gas Consumption | Cubic meter (Ten thousand) | 1237 | 2593 |
Purchased Electricity | Megawatt hour | 1289 | 3583 |
Purchased Heating | Giga-Joule | 1959269 | 4204867 |
Purchased Steam | Giga-Joule | 453938 | 423386 |
Total Fuel Consumption Intensity (By Revenue) | Giga-Joule/Revenue (HKD million) | 0.23 | 0.22 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Water Consumption | Tonnes | 2444 | 4600 |
Water Consumption Intensity (By Revenue) | Tonnes/Revenue (HKD million) | 128.97 | 2.9 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit |
---|---|
Total Investment in Ecological Restoration | RMB per mu per year |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Number of Contractors | persons | 437 | 324 |
Number of Employees Aged 30-50 | persons | 928 | 1072 |
Number of Employees Aged Below 30 | persons | 1538 | 987 |
Number of Employees in Hong Kong | persons | 10 | |
Number of Female Employees | persons | 488 | 493 |
Number of General Employees | persons | 1828 | 1636 |
Number of Male Employees | persons | 1978 | 1566 |
Number of Middle Management Employees | persons | 191 | 86 |
Number of Senior Management Employees | persons | 10 | 13 |
Number of Total Employees | persons | 2466 | 2059 |
Percentage of Female Employees | percent | 19.78 | 23.94 |
Percentage of Male Employees | percent | 80.25 | 76.04 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Turnover Rate of Employees Aged 30-50 | persons | 184 | 445 |
Turnover Rate of Employees Aged Below 30 | persons | 515 | 411 |
Turnover Rate of Employees in Hong Kong | persons | 3 | |
Turnover Rate of Female Employees | persons | 185 | 203 |
Turnover Rate of Male Employees | persons | 514 | 653 |
Turnover Rate of Total Employees | persons | 699 | 856 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Number of People Receiving Training on Work Safety | participants |
Participation Rate of Safety Training | % |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Average Training Hours (Contract Employees) | hours | 8.26 | |
Average Training Hours (Female) | hours | 11.25 | 19.79 |
Average Training Hours (General Employees) | hours | 23.42 | |
Average Training Hours (Male) | hours | 12.72 | 23.38 |
Average Training Hours (Middle Management) | hours | 42.8 | |
Average Training Hours (Senior Management) | hours | 43.05 |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Suppliers in Mainland China | suppliers |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit |
---|---|
Investment in Education Donation | million RMB |
Investment in Targeted Poverty Alleviation | million RMB |
Total Social Investment | million RMB |