2020 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 | 2020 | Report Pages |
---|---|---|---|---|---|
Compliant nitrogen oxides emissions from concession operations | Tons | 16807.97 | 17601.16 | 18243.1 | 81 |
Compliant sulfur dioxide emissions from concession operations | Tons | 11927.21 | 11006.7 | 12591.62 | 81 |
Nitrogen oxides emissions from production | Tons | 4.67 | 5.47 | 4.11 | 81 |
compliance of desulfurization and denitrification facilities with emission standards | 100% | 7 |
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 | 2020 | Report Pages |
---|---|---|---|---|---|
Scope 1 emissions intensity | Tons CO₂e/ RMB'000 | 5.54×10⁻⁴ | 8.52×10⁻⁴ | 6.45×10⁻⁴ | 82 |
Scope 1: Direct emissions (excluding emission reductions due to planted trees) | Tons CO₂e | 4754.28 | 5468.07 | 4397.07 | 82 |
Scope 1: GHG emission reductions due to planted trees | Tons CO₂e | 11.5 | 11.96 | 12.19 | 82 |
Scope 2 emissions intensity | Tons CO₂e/ RMB'000 | 0.19 | 0.25 | 0.24 | 82 |
Scope 2: Indirect emissions | Tons CO₂e | 1658471.03 | 1622563.44 | 1633869.77 | 82 |
Sulfur dioxide emissions from production | Tons | 0.79 | 0.94 | 0.75 | 81 |
Total GHG emissions | Tons CO₂e | 1663213.82 | 1628019.56 | 1638254.65 | 82 |
Total GHG emissions intensity | Tons CO₂e/ RMB '000 | 0.19 | 0.25 | 0.24 | 82 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Dust that contains hazardous waste | Tons | 114.2 | 500.37 | 640.53 | 83 |
Intensity of total amount of hazardous waste generated excluding spent catalysts | Tons/RMB'000 | 0.41 | 0.56 | 0.66 | 83 |
Intensity of total amount of spent catalysts generated | m³/RMB'000 | 7.98 x 10⁻⁴ | 1.66 x 10⁻³ | 1.66 x 10⁻³ | 83 |
Sludges from wastewater treatment | Tons | 36782.33 | 36979.57 | 41903.25 | 83 |
Spent catalysts | m³ | 6851.2 | 10672.1 | 11333.42 | 83 |
Spent lubricating oil | Tons | 4.28 | 7.77 | 5.88 | 83 |
Total amount of hazardous waste generated excluding spent catalysts | Tons | 3536900.81 | 3570415.52 | 4482998.92 | 83 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Domestic waste generated | Tons | 134.36 | 140.5 | 148.5 | 84 |
Intensity of total amount of non-hazardous waste generated | Tons/RMB'000 | 1.21 x 10^-4 | 4.09 x 10^-4 | 4.47 x 10^-4 | 84 |
Other non-hazardous waste generated | Tons | 881.8 | 2468.69 | 2899.8 | 84 |
Paper waste generated | Tons | 21.96 | 13.1 | 1.6 | 84 |
Spent desulfurization gypsum | Tons | 3500000 | 3532927.8 | 4440449.26 | 83 |
Total amount of non-hazardous waste generated | Tons | 1038.12 | 2622.29 | 3049.9 | 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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Diesel consumption | Tons | 16.13 | 12.41 | 4.2 | 85 |
Electricity consumption | MWh | 2543599.96 | 2397637.17 | 2678036.02 | 85 |
Gasoline consumption | Tons | 157.48 | 117.71 | 113.73 | 85 |
Intensity of diesel consumption | Tons/RMB'000 | 1.88 × 10⁻⁶ | 1.93 × 10⁻⁶ | 6.16 × 10⁻⁷ | 85 |
Intensity of electricity consumption | MWh/RMB'000 | 0.3 | 0.37 | 0.39 | 85 |
Intensity of gasoline consumption | Tons/RMB'000 | 1.83 × 10⁻⁵ | 1.84 × 10⁻⁵ | 1.67 × 10⁻⁵ | 85 |
Intensity of natural gas consumption | Ten thousand m³/RMB'000 | 2.29 × 10⁻⁵ | 3.65 × 10⁻⁵ | 2.73 × 10⁻⁵ | 85 |
Natural gas consumption | Ten thousand m³ | 196.87 | 234.18 | 186.23 | 85 |
Production volume of denitrification catalysts | m³ | 37400 | 36074 | 34448 | 81 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Amount of wastewater discharged | m³ | 97954 | 96323 | 96996 | 84 |
Intensity of water consumption | Ten thousand m³/RMB'000 | 3.31 × 10⁻⁴ | 4.33 × 10⁻⁴ | 4.25 × 10⁻⁴ | 85 |
Water consumption | Ten thousand m³ | 2842.6 | 2779.32 | 2900.68 | 85 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total workforce | Persons | 1074 | 87 |
Total workforce, percentage | 100.00% | 87 | |
Workforce by age group: Age 30–39 | Persons | 398 | 87 |
Workforce by age group: Age 30–39, percentage | 37.06% | 87 | |
Workforce by age group: Age 40–49 | Persons | 300 | 87 |
Workforce by age group: Age 40–49, percentage | 27.93% | 87 | |
Workforce by age group: Age 50 and above | Persons | 175 | 87 |
Workforce by age group: Age 50 and above, percentage | 16.29% | 87 | |
Workforce by age group: Age below 30 | Persons | 201 | 87 |
Workforce by age group: Age below 30, percentage | 18.72% | 87 | |
Workforce by employment type: Administrative and management personnel | Persons | 86 | 87 |
Workforce by employment type: Administrative and management personnel, percentage | 8.01% | 87 | |
Workforce by employment type: Concession operation management personnel | Persons | 320 | 87 |
Workforce by employment type: Concession operation management personnel, percentage | 29.80% | 87 | |
Workforce by employment type: Engineering and technical personnel | Persons | 206 | 87 |
Workforce by employment type: Engineering and technical personnel, percentage | 19.18% | 87 | |
Workforce by employment type: Manufacture personnel | Persons | 23 | 87 |
Workforce by employment type: Manufacture personnel, percentage | 2.14% | 87 | |
Workforce by employment type: Others | Persons | 13 | 87 |
Workforce by employment type: Others, percentage | 1.21% | 87 | |
Workforce by employment type: Research and development personnel | Persons | 351 | 87 |
Workforce by employment type: Research and development personnel, percentage | 32.68% | 87 | |
Workforce by employment type: Sales personnel | Persons | 75 | 87 |
Workforce by employment type: Sales personnel, percentage | 6.98% | 87 | |
Workforce by gender: Female | Persons | 290 | 87 |
Workforce by gender: Female, percentage | 27.00% | 87 | |
Workforce by gender: Male | Persons | 784 | 87 |
Workforce by gender: Male, percentage | 73.00% | 87 | |
Workforce by geographical region: China | Persons | 1074 | 87 |
Workforce by geographical region: China, percentage | 100.00% | 87 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
invention patent authorizations awarded | 18 | 7 | |
utility model patent authorizations awarded | 163 | 7 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
NOₓ Emissions | Tons | 16812.64 | 17606.63 | 18247.21 |
SOₓ Emissions | Tons | 11927.21 | 11006.7 | 12591.62 |
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 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Tons CO₂e | 4754.28 | 5468.07 | 4397.07 |
GHG Removals from Newly Planted Trees | Tons CO₂e | 11.5 | 11.96 | 12.19 |
Indirect Energy Emissions (Scope 2) | Tons CO₂e | 1658471.03 | 1622563.44 | 1633869.77 |
Scope 1 GHG Emissions Intensity (By Revenue) | Tons CO₂e/ RMB'000 | 0.000554 | 0.000852 | 0.000645 |
Scope 2 GHG Emissions Intensity (By Revenue) | Tons CO₂e/ RMB'000 | 0.19 | 0.25 | 0.24 |
Total GHG Emissions | Tons CO₂e | 1663213.82 | 1628019.56 | 1638254.65 |
Total GHG Emissions Intensity (By Revenue) | Tons CO₂e/ RMB'000 | 0.19 | 0.25 | 0.24 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Hazardous Waste Intensity (By Revenue) | Tons/RMB'000 | 0.41 | 0.56 | 0.66 |
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 | 2020 |
---|---|---|---|---|
Non-Hazardous Waste (Domestic Waste) | Tons | 134.36 | 140.5 | 148.5 |
Paper Waste | Tons | 21.96 | 13.1 | 1.6 |
Total Non-Hazardous Waste Intensity (By Revenue) | Tons/RMB'000 | 0.000121 | 0.000409 | 0.000447 |
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 | 2020 |
---|---|---|---|---|
Diesel Fuel Consumption | Tons | 16.13 | 12.41 | 4.2 |
Direct Energy Intensity (By Revenue) | Tons/RMB'000 + Tons/RMB'000 + Ten thousand m³/RMB'000 | 1.88e-6 + 1.83e-5 + 2.29e-5 | 1.93e-6 + 1.84e-5 + 3.65e-5 | 6.16e-7 + 1.67e-5 + 2.73e-5 |
Gasoline Consumption | Tons | 157.48 | 117.71 | 113.73 |
Grid Electricity Consumption | MWh | 2543599.96 | 2397637.17 | 2678036.02 |
Natural Gas Consumption | Ten thousand m³ | 196.87 | 234.18 | 186.23 |
Purchased Electricity | MWh | 2543599.96 | 2397637.17 | 2678036.02 |
Purchased Electricity Intensity (By Revenue) | MWh/RMB'000 | 0.3 | 0.37 | 0.39 |
Total Electricity Consumption Intensity (By Revenue) | MWh/RMB'000 | 0.3 | 0.37 | 0.39 |
Total Indirect Energy Consumption | MWh | 2543599.96 | 2397637.17 | 2678036.02 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Wastewater Discharge | m³ | 97954 | 96323 | 96996 |
Water Consumption | m³ | 28426000 | 27793200 | 29006800 |
Water Consumption Intensity (By Revenue) | Ten thousand m³/RMB'000 | 0.000331 | 0.000433 | 0.000425 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Employees Aged 30-50 | Persons | 698 |
Number of Employees Aged Above 50 | Persons | 175 |
Number of Employees Aged Below 30 | Persons | 201 |
Number of Employees in Mainland China | Persons | 1074 |
Number of Female Employees | Persons | 290 |
Number of Male Employees | Persons | 784 |
Number of Total Employees | Persons | 1074 |
Percentage of Employees Aged 30-50 | % | 64.99 |
Percentage of Employees Aged Above 50 | % | 16.29 |
Percentage of Employees Aged Below 30 | % | 18.72 |
Percentage of Employees in Mainland China | % | 100 |
Percentage of Female Employees | % | 27 |
Percentage of Male Employees | % | 73 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit |
---|---|
Turnover Rate of Employees Aged 30-50 | % |
Turnover Rate of Employees Aged Above 50 | % |
Turnover Rate of Employees Aged Below 30 | % |
Turnover Rate of Employees in Mainland China | % |
Turnover Rate of Female Employees | % |
Turnover Rate of Male Employees | % |
Turnover Rate of Total Employees | % |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit |
---|---|
Percentage of Employees Trained | % |
Percentage of Trained Female Employees | % |
Percentage of Trained Male Employees | % |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit |
---|---|
Average Training Hours (Administrative Employees) | Hours |
Average Training Hours (Female) | Hours |
Average Training Hours (Male) | Hours |
Average Training Hours (Marketing & Customer Service) | Hours |
Average Training Hours (Operational Employees) | Hours |
Average Training Hours (Production Employees) | Hours |
Average Training Hours (R&D Personnel Employees) | Hours |
Average Training Hours (Technical Employees) | Hours |
Average Training Hours per Employee | Hours |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Suppliers in Mainland China | |
Number of Total Suppliers |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Authorised Utility Model Patents | 163 | |
Number of Invention Patents | 18 | |
Number of Patents Granted | 181 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit |
---|---|
Total Public Welfare Donations | RMB |
Total Volunteer Service Hours | Hours |