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 | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Nitrogen oxides (NOx) emissions | tonnes | 5.12 | 5.23 | 15 |
Particulate matter emissions | tonnes | 0.44 | 0.44 | 15 |
Sulfur dioxide (SO2) emissions | tonnes | 0.01 | 0.01 | 15 |
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 |
---|---|---|---|---|
GHG emissions intensity | tCO2e/million RMB revenue | 8.01 | 5.74 | 16 |
Intensity of greenhouse gas emissions | tCO2e/Million RMB revenue | 8.01 | 5.74 | 5 |
Scope 1: Direct greenhouse gas emissions | tCO2e | 2901 | 2307 | 16 |
Scope 2: Energy indirect greenhouse gas emissions | tCO2e | 38059 | 35306 | 16 |
Total GHG emissions | tCO2e | 40960 | 37613 | 16 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Hazardous waste intensity | tonnes/million RMB revenue | 0.00014 | 0.00041 | 16 |
Total hazardous waste | tonnes | 2.12 | 9.44 | 16 |
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 |
---|---|---|---|---|
Non-hazardous waste intensity | tonnes/million RMB revenue | 0.28 | 0.06 | 16 |
Total non-hazardous waste | tonnes | 1409.63 | 381.38 | 16 |
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 |
---|---|---|---|---|
Diesel consumption | Tonnes, tonnes | 102.11 | 90.2 | 5, 17 |
Electricity consumption | MWh | 45466.21 | 39811.11 | 5, 17 |
Energy consumption intensity | MWh/million RMB revenue | 14.45 | 9.91 | 17 |
Gasoline consumption | Tonnes, tonnes | 193.43 | 248.09 | 5, 17 |
Intensity of Energy consumption | MWh/Million RMB revenue | 14.45 | 9.91 | 5 |
Long-haul pipeline gas transmission volume | Ten thousand m³ | 86759 | 76178 | 5 |
Natural gas consumption | Ten thousand m³, Ten thousands m3 | 92.09 | 58.65 | 5, 17 |
Natural gas sales volume | Ten thousand m³ | 129236 | 156640 | 5 |
Purchased heat consumption | GJ | 57766.57 | 56290.87 | 17 |
Total direct energy consumption | MWh | 12366.99 | 9430.49 | 17 |
Total energy consumption | MWh | 73879.47 | 64877.95 | 17 |
Total indirect energy consumption | MWh | 61512.48 | 55447.46 | 17 |
Total pipeline gas users | Households | 2354203 | 3247483 | 5 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Total water consumption | tonnes | 43373.37 | 81442.77 | 17 |
Wastewater discharge | tonnes | 4340 | 1589 | 15 |
Water consumption intensity | tonnes/million RMB revenue | 8.48 | 12.44 | 17 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Female employees | People | 1074 | 1164 | 5 |
Male employees | People | 1769 | 1995 | 5 |
Number of employees by age - 25 to 30 | 1331 | 21 | ||
Number of employees by age - 30 to 40 | 650 | 21 | ||
Number of employees by age - over 40 | 193 | 21 | ||
Number of employees by age - under 25 | 985 | 21 | ||
Number of employees by gender - Female | 1995 | 21 | ||
Number of employees by gender - Male | 1164 | 21 | ||
Number of employees by region - Guangdong | 219 | 21 | ||
Number of employees by region - Guangxi | 215 | 21 | ||
Number of employees by region - Guangxi (Jingxi) | 33 | 21 | ||
Number of employees by region - Guizhou | 209 | 21 | ||
Number of employees by region - Hebei | 52 | 21 | ||
Number of employees by region - Henan | 1343 | 21 | ||
Number of employees by region - Hubei | 41 | 21 | ||
Number of employees by region - Jilin | 499 | 21 | ||
Number of employees by region - Shandong | 102 | 21 | ||
Number of employees by region - Shanxi | 166 | 21 | ||
Number of employees by region - Sichuan | 221 | 21 | ||
Number of employees by region - Yunnan | 59 | 21 | ||
Total assets | Million RMB | 11434 | 11939 | 5 |
Total number of employees | People | 2843 | 3159 | 5 |
Total number of employees in the Group | 3159 | 21 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Safety inspection completion rate of subsidiaries | % | 100 | 100 | 5 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Donation | Ten thousand RMB | 2000 | 5000 | 5 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tonnes | 0.44 | 0.44 |
NOₓ Emissions | tonnes | 5.12 | 5.23 |
SOₓ Emissions | tonnes | 0.01 | 0.01 |
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) | tCO2e | 2901 | 2307 |
Indirect Energy Emissions (Scope 2) | tCO2e | 38059 | 35306 |
Total GHG Emissions | tCO2e | 40960 | 37613 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/million RMB revenue | 8.01 | 5.74 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Total Hazardous Waste | tonnes | 2.12 | 9.44 |
Total Hazardous Waste Intensity (By Revenue) | tonnes/million RMB revenue | 0.00014 | 0.00041 |
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 Disposed | tonnes | 1409.63 | 381.38 |
Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/million RMB revenue | 0.28 | 0.06 |
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 |
---|---|---|---|
Diesel Fuel Consumption | tonnes | 102.11 | 90.2 |
Energy Consumption Intensity (By Revenue) | MWh/million RMB revenue | 14.45 | 9.91 |
Gasoline Consumption | tonnes | 193.43 | 248.09 |
Natural Gas Consumption | ten thousand m³ | 92.09 | 58.65 |
Purchased Electricity | MWh | 45466.21 | 39811.11 |
Purchased Heating | GJ | 57766.57 | 56290.87 |
Total Direct Energy Consumption | MWh | 12366.99 | 9430.49 |
Total Energy Consumption | MWh | 73879.47 | 64877.95 |
Total Indirect Energy Consumption | MWh | 61512.48 | 55447.46 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Total Wastewater Discharge | tonnes | 4340 | 1589 |
Water Consumption | tonnes | 43373.37 | 81442.77 |
Water Consumption Intensity (By Revenue) | tonnes/million RMB revenue | 8.48 | 12.44 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Number of Employees Aged 30-50 | People | 650 | |
Number of Employees Aged Above 50 | People | 193 | |
Number of Employees Aged Below 30 | People | 2316 | |
Number of Female Employees | People | 1074 | 1164 |
Number of Male Employees | People | 1769 | 1995 |
Number of Total Employees | People | 2843 | 3159 |
Percentage of Employees Aged 30-50 | % | 20.58 | |
Percentage of Employees Aged Above 50 | % | 6.11 | |
Percentage of Employees Aged Below 30 | % | 73.34 | |
Percentage of Female Employees | % | 37.75 | 36.83 |
Percentage of Male Employees | % | 62.25 | 63.17 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Total Public Welfare Donations | Ten thousand RMB | 2000 | 5000 |