Environmental, Social and Governance Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| NOx emission volume from projects | tonnes | 1388.28 | 31 | ||
| NOₓ (tonne) | tonne | 1819 | 1501.02 | 1389.28 | 51 |
| SO₂ (tonne) | tonne | 618 | 281.5 | 129.59 | 51 |
| Smoke and dust in exhaust gas (tonne) | tonne | 143 | 113.18 | 79.7 | 51 |
| Smoke and dust in exhaust gas emission volume from projects | tonnes | 79.7 | 31 |
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 |
|---|---|---|---|---|---|
| Greenhouse gas emissions per MWh of electricity generated | tonnes CO2-eq | 1.31 | 31 | ||
| SO2 emission volume from projects | tonnes | 129.59 | 31 | ||
| Scope 1 CH₄ (tonne) | tonne | 850 | 1008.26 | 929.56 | 51 |
| Scope 1 CO₂ (tonne) | tonne | 4646245 | 4963335.87 | 4877713.61 | 51 |
| Scope 1 N₂O (tonne) | tonne | 1265 | 1492.48 | 1378.14 | 51 |
| Scope 1 SF₆ (tonne) | tonne | 461 | 531.4 | 531.4 | 51 |
| Scope 2 CO₂ (tonne) | tonne | N/A | N/A | 18012.93 | 51 |
| Total greenhouse gas emissions (Scope 1 and 2) | tonnes CO2-eq | 17774698.17 | 31 | ||
| Total greenhouse gas emissions (Scope 1 and 2) (tonne CO₂eq) | tonne CO₂eq | 11021179 | 17874972.55 | 17774698.17 | 51 |
| Total greenhouse gas emissions per MWh of electricity generated (tonne CO₂eq) | tonne CO₂eq | 1.48 | 1.34 | 1.31 | 51 |
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 |
|---|---|---|---|---|---|
| Desulfurised gypsum (tonne) | tonne | 20203 | 16040.6 | 28056.5 | 51 |
| Hazardous waste produced per MWh of electricity generated (tonne) | tonne | 0.023 | 0.021 | 0.019 | 52 |
| Total hazardous waste produced (tonne) | tonne | 254358.3 | 274538.89 | 261457.51 | 52 |
| Waste battery (tonne) | tonne | 16 | 2.39 | 2.12 | 52 |
| Waste oil (tonne) | tonne | 577 | 178.21 | 84.09 | 52 |
| Waste paint (tonne) | tonne | 0.3 | 0.24 | 0.3 | 52 |
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 |
|---|---|---|---|---|---|
| Boiler slag (tonne) | tonne | 70463 | 62520.51 | 47084 | 51 |
| Fly ash (pulverised fuel ash) (tonne) | tonne | 253762 | 274347.18 | 261371 | 52 |
| General waste/Domestic waste (tonne) | tonne | 69 | 261.82 | 291.16 | 51 |
| Iron scrap (tonne) | tonne | 13.29 | 268.06 | 159.64 | 51 |
| Non-hazardous waste produced per MWh of electricity generated (tonne) | tonne | 0.0084 | 0.0059 | 0.0056 | 51 |
| Total non-hazardous waste produced (tonne) | tonne | 90748.79 | 79092.39 | 76313.11 | 51 |
| Waste insulation materials (tonne) | tonne | 13 | 10.87 | 52 | |
| Waste paper (tonne) | tonne | 0.5 | 1.4 | 1.81 | 51 |
| Wastewater discharged per MWh of electricity generated (tonne) | tonne | 0.042 | 0.054 | 0.072 | 52 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission reduction by trees (tonne CO₂eq) | tonne CO₂eq | N/A | 75.44 | 68.86 | 51 |
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 |
|---|---|---|---|---|---|
| Attributable installed capacity | MW | 6286 | 11 | ||
| Attributable installed capacity - Clean and renewable energy portfolio (Solar, Wind, Hydro, Gas-fired) | MW | 3192.8 | 3504.9 | 4550.4 | 11 |
| Attributable installed capacity - Conventional energy portfolio (Coal-fired, Oil-fired, Cogen) | MW | 1769.6 | 1769.6 | 1735.6 | 11 |
| Attributable installed capacity of power generation projects | MW | 6826 | 8 | ||
| Direct energy - Coal | MWh | 11924750.03 | 11802082.24 | 10553010.95 | 53 |
| Direct energy - Natural gas | MWh | 11908538.81 | 14870233.3 | 13455144.85 | 53 |
| Increase in attributable installed capacity of solar power | % | 116.5 | 8 | ||
| Increase in attributable installed capacity of wind power | % | 43.9 | 8 | ||
| Indirect energy - Coal gas | MWh | N/A | 21.18 | 23.37 | 53 |
| Indirect energy - Diesel | MWh | N/A | 2184.37 | 2095.75 | 53 |
| Indirect energy - Fuel oil | MWh | 6546.48 | 3596.84 | 14695.75 | 53 |
| Indirect energy - Gasoline | MWh | N/A | 1067.08 | 2306.15 | 53 |
| Indirect energy - LPG | MWh | N/A | N/A | 52 | 53 |
| Indirect energy - Purchased electricity | MWh | N/A | 26802.07 | 31526.33 | 53 |
| Installed photovoltaic power in China | GW | 204.7 | 6 | ||
| Installed wind power in China | GW | 210.1 | 6 | ||
| Newly added attributable installed capacity of CGN New Energy | MW | 1000 | 8 | ||
| Non-fossil energy as percentage of total installed capacity in China | % | 41.9 | 6 | ||
| Power Generation | GWh | 13541 | 11 | ||
| Power generation amount | GWh | 13541 | 8 | ||
| Share of clean and renewable energy projects in attributable installed capacity | % | 72.4 | 8 | ||
| Total energy consumed per MWh of electricity | N/A | 2.01 | 1.78 | 53 | |
| Total energy consumption (direct and indirect energy) | MWh | N/A | 26705987.07 | 24058855.17 | 53 |
| Year-on-year growth of installed capacity of non-fossil energy power generators in China | % | 8.7 | 6 | ||
| Year-on-year growth of installed photovoltaic power in China | % | 17.4 | 6 | ||
| Year-on-year growth of installed wind power in China | % | 14 | 6 | ||
| Year-on-year growth of non-fossil energy as percentage of total installed capacity in China | percentage points | 1.1 | 6 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Amount of water discharged into the natural environment after pre-treatment by the Group | m³ | N/A | N/A | 7320006027.3 | 53 |
| Circulating water | m³ | N/A | 14230875 | 5782123 | 53 |
| Ground water | m³ | N/A | 4755 | 13424 | 53 |
| Ground water (water of wells and springs) used | m³ | 13424 | 36 | ||
| Municipal water | m³ | N/A | 919500 | 1491295.36 | 53 |
| Municipal water (tap water) used | m³ | 1491295.36 | 36 | ||
| Surface water | m³ | N/A | 7884356 | 7326226671.3 | 53 |
| Surface water (water of rivers, lakes, and seas) used | m³ | 7326226671 | 36 | ||
| The circulating water used | m³ | 5782123 | 36 | ||
| The water discharged back to the rivers, lakes, seas and land after self-pretreatment and reaching standards | m³ | 7320006027.3 | 36 | ||
| Total water consumed | m³ | 7725363.36 | 36 | ||
| Total water consumption | m³ | 643063 | 8808611 | 7725363.36 | 53 |
| Total water intake | m³ | N/A | N/A | 7327731390.66 | 53 |
| Total water used | m³ | 7327731390.66 | 36 | ||
| Wastewater (tonne) | tonne | 455752 | 721126.43 | 980616.1 | 52 |
| Water consumed per MWh of electricity generated | m³ | 1.05 | 0.663 | 0.571 | 36, 53 |
| Water consumed per MWh of electricity generated decrease compared with 2018 | -14% | 36 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| China's installed capacity of non-fossil energy power generators | GW | 840 | 6 |
| China's non-fossil energy share of electricity generation | % | 32.6 | 8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employees aged above 50 | 27 | 274 | 193 | 55 | |
| Employees aged between 30 and 50 | 43 | 1184 | 1157 | 55 | |
| Employees aged under 30 | 5 | 459 | 433 | 55 | |
| Employees in Hong Kong | 75 | 55 | 44 | 55 | |
| Employees in Korea | 137 | 151 | 194 | 55 | |
| Employees in Mainland China | 1713 | 1703 | 1545 | 55 | |
| Employees in other countries and regions | – | 8 | – | 55 | |
| Female employees | 31 | 396 | 303 | 55 | |
| Full-time employees | 1925 | 1917 | 1783 | 55 | |
| Male employees | 44 | 1521 | 1480 | 55 | |
| Number of employees of ethnic minorities | N/A | N/A | 117 | 55 | |
| Part-time employees | – | – | – | 55 | |
| Percentage ratio of employees of ethnic minorities | N/A | N/A | 6.56% | 55 | |
| Percentage ratio of female management, Middle-level management | N/A | N/A | 13.89% | 56 | |
| Percentage ratio of female management, Senior management | N/A | N/A | - | 56 | |
| Ratio of remuneration of female employees to male employees, General employees | 1 | 1 | 1 | 56 | |
| Ratio of remuneration of female employees to male employees, Management | 1 | 1 | 1 | 56 | |
| Retirement benefits scheme contributions, including directors’ emoluments | US$'000 | 14629 | 12926 | 11427 | 55 |
| Salaries and allowances | US$'000 | 61760 | 54873 | 65097 | 38, 55 |
| Total number of employees | employees | 1925 | 1917 | 1783 | 37, 55 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover, Aged above 50 | 6.90% | 6.85% | 1.03% | 56 | |
| Employee turnover, Aged between 30 and 50 | 12.24% | 6.73% | 1.78% | 56 | |
| Employee turnover, Aged under 30 | 16.67% | 7.93% | 3.78% | 56 | |
| Employee turnover, Female employees | 6.06% | 10.83% | 2.26% | 56 | |
| Employee turnover, Hong Kong | N/A | - | 56 | ||
| Employee turnover, Korea | N/A | 2.51% | 56 | ||
| Employee turnover, Mainland China | 7.02% | 2.03% | 56 | ||
| Employee turnover, Male employees | 13.73% | 6.35% | 2.18% | 56 | |
| Operating profit (US$'000) | US$'000 | 166230 | 199181 | 231618 | 49 |
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 |
|---|---|---|---|---|---|
| Injury rate (per 200000 hours worked) | N/A | 0.16 | 0.06 | 56 | |
| Number of reportable injuries | 1 | 1 | 56 | ||
| Severe injury rate (per 200000 hours worked) | N/A | 25.43 | 11.28 | 56 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Lost work days due to work-related injury | N/A | 162 | 200 | 56 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Percentage of female employees who received vocational development training | 35.48% | 30.30% | 89.53% | 57 | |
| Percentage of general employees who received vocational development training | 15.77% | 66.67% | 91.57% | 57 | |
| Percentage of middle-level management who received vocational development training | 29.52% | 100.00% | 43.08% | 57 | |
| Percentage of senior management who received vocational development training | 45.33% | 100.00% | 100.00% | 57 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average hours of vocational development training received per female employee | hour | 10.86 | 22.12 | 74.69 | 57 |
| Average hours of vocational development training received per general employee | hour | 11.25 | 13.65 | 63.34 | 57 |
| Average hours of vocational development training received per male employee | hour | 8.63 | 28.32 | 61.51 | 57 |
| Average hours of vocational development training received per middle-level management | hour | 8.82 | 15 | 79.25 | 57 |
| Average hours of vocational development training received per senior management | hour | 20 | 40 | 156.8 | 57 |
| Percentage of male employees who received vocational development training | 18.18% | 34.39% | 89.94% | 57 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers in Hong Kong | N/A | – | – | 50 | |
| Number of suppliers in Korea | N/A | 226 | 237 | 50 | |
| Number of suppliers in Mainland China | N/A | 1705 | 1093 | 50 | |
| Number of suppliers in other countries and regions | N/A | 5 | – | 50 | |
| Total number of suppliers | 1500 | 1936 | 1330 | 50 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| EPS | US cents | 2.59 | 11 | ||
| Net assets (US$'000) | US$'000 | 960375 | 954284 | 1009447 | 49 |
| Revenue (US$'000) | US$'000 | 1108580 | 1358487 | 1276281 | 49 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Tax payment (US$'000) | US$'000 | 28587 | 33767 | 41564 | 49 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Money contributed to community/public welfare and charity | RMB | 200000 | 1974652.66 | 1030000 | 57 |
| Revenue | million USD | 1276 | 11 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 143 | 113.18 | 79.7 |
| NOₓ Emissions | tonne | 1819 | 1501.02 | 1389.28 |
| SOₓ Emissions | tonne | 618 | 281.5 | 129.59 |
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).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne | 4646245 | 4963335.87 | 4877713.61 |
| Indirect Energy Emissions (Scope 2) | tonne | 18012.93 | ||
| Total GHG Emissions | tonne CO2-eq | 11021179 | 17874972.55 | 17774698.17 |
| Total GHG Emissions Intensity (By Energy) | tonne CO2-eq | 1.48 | 1.34 | 1.31 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Hazardous Waste (Used Batteries) | tonne | 16 | 2.39 | 2.12 |
| Total Hazardous Waste | tonne | 254358.3 | 274538.89 | 261457.51 |
| Total Hazardous Waste Intensity (By Unit Product) | tonne | 0.023 | 0.021 | 0.019 |
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 (Domestic Waste) | tonne | 69 | 261.82 | 291.16 |
| Paper Waste | tonne | 0.5 | 1.4 | 1.81 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | tonne/MWh | 0.0084 | 0.0059 | 0.0056 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tonne CO₂eq | 75.44 | 68.86 |
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 | MWh | 2184.37 | 2095.75 | |
| Energy Consumption Intensity (By Unit Product) | 2.01 | 1.78 | ||
| Gasoline Consumption | MWh | 1067.08 | 2306.15 | |
| Heating Oil Consumption | MWh | 6546.48 | 3596.84 | 14695.75 |
| LPG Consumption | MWh | None | 52 | |
| Natural Gas Consumption | MWh | 11908538.81 | 14870233.3 | 13455144.85 |
| Purchased Electricity | MWh | 26802.07 | 31526.33 | |
| Total Direct Energy Consumption | MWh | 11924750.03 | 11802082.24 | 10553010.95 |
| Total Energy Consumption | MWh | 26705987.07 | 24058855.17 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Groundwater Withdrawal | m³ | 4755 | 13424 | |
| Municipal Water Consumption | m³ | 919500 | 1491295.36 | |
| Surface Water Discharge | m³ | 7320006027.3 | ||
| Surface Water Withdrawal | m³ | 7884356 | 7326226671.3 | |
| Total Wastewater Discharge | tonne | 455752 | 721126.43 | 980616.1 |
| Total Water Withdrawal | m³ | 7327731390.66 | ||
| Water Consumption | m³ | 643063 | 8808611 | 7725363.36 |
| Water Consumption Intensity (By Revenue) | m³ | 1.05 | 0.663 | 0.571 |
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 | employees | 43 | 1184 | 1157 |
| Number of Employees Aged Above 50 | employees | 27 | 274 | 193 |
| Number of Employees Aged Below 30 | employees | 5 | 459 | 433 |
| Number of Employees in Hong Kong | employees | 75 | 55 | 44 |
| Number of Employees in Korea | employees | 137 | 151 | 194 |
| Number of Employees in Mainland China | employees | 1713 | 1703 | 1545 |
| Number of Employees in Other countries and regions | employees | 8 | ||
| Number of Employees of Ethnic Minorities | employees | None | None | 117 |
| Number of Female Employees | employees | 31 | 396 | 303 |
| Number of Full-time Employees | employees | 1925 | 1917 | 1783 |
| Number of Male Employees | employees | 44 | 1521 | 1480 |
| Number of Total Employees | employees | 1925 | 1917 | 1783 |
| Percentage of Employees in Hong Kong | % | 3.9 | 2.9 | 2.5 |
| Percentage of Employees in Korea | % | 7.1 | 7.9 | 10.9 |
| Percentage of Employees in Mainland China | % | 89 | 88.8 | 86.6 |
| Percentage of Employees in Other countries and regions | % | 0.4 | ||
| Percentage of Employees of Ethnic Minorities | % | None | None | 6.56 |
| Percentage of Female Employees | % | 1.6 | 20.6 | 17 |
| Percentage of Full-time Employees | % | 100 | 100 | 100 |
| Percentage of Male Employees | % | 2.3 | 79.4 | 83 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 12.24 | 6.73 | 1.78 |
| Turnover Rate of Employees Aged Above 50 | % | 6.9 | 6.85 | 1.03 |
| Turnover Rate of Employees Aged Below 30 | % | 16.67 | 7.93 | 3.78 |
| Turnover Rate of Employees in Korea | % | 2.51 | ||
| Turnover Rate of Employees in Mainland China | % | 7.02 | 2.03 | |
| Turnover Rate of Female Employees | % | 6.06 | 10.83 | 2.26 |
| Turnover Rate of Male Employees | % | 13.73 | 6.35 | 2.18 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 162 | 200 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | % | 35.48 | 30.3 | 89.53 |
| Percentage of Trained General Employees | % | 15.77 | 66.67 | 91.57 |
| Percentage of Trained Middle Management | % | 29.52 | 100 | 43.08 |
| Percentage of Trained Senior Management | % | 45.33 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour | 10.86 | 22.12 | 74.69 |
| Average Training Hours (General Employees) | hour | 11.25 | 13.65 | 63.34 |
| Average Training Hours (Male) | hour | 8.63 | 28.32 | 61.51 |
| Average Training Hours (Middle Management) | hour | 8.82 | 15 | 79.25 |
| Average Training Hours (Senior Management) | hour | 20 | 40 | 156.8 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 1705 | 1093 | ||
| Number of Total Suppliers | 1500 | 1936 | 1330 | |
| Total Number of Suppliers in Korea | 226 | 237 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Public Welfare Donations | RMB | 200000 | 1974652.66 | 1030000 |
| Total Social Investment | RMB | 200000 | 1974652.66 | 1030000 |