Environmental, Social and Governance Report 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Annual cooking fume discharge (Jilin Changling County Tianlun Gas Limited's canteen) | kg | 18 | 18 |
| Cooking fume concentration (Jilin Changling County Tianlun Gas Limited's canteen) | mg/m3 | 1.5 | 18 |
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 | Report Pages |
|---|---|---|---|
| Intensity of greenhouse gas emissions | tCO₂e/Million RMB revenue | 8.01 | 5 |
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 | Report Pages |
|---|---|---|---|
| Diesel consumption | Tonnes, tonnes | 102.11 | 5, 20 |
| Electricity consumption | MWh | 45466.21 | 5, 20 |
| Gasoline consumption | Tonnes, tonnes | 193.43 | 5, 20 |
| Intensity of Energy consumption | MWh/Million RMB revenue | 14.45 | 5 |
| Long-haul pipeline gas transmission volume | Ten thousand m³ | 86759 | 5 |
| Natural gas consumption | Ten thousand m³, Ten thousands m³ | 92.09 | 5, 20 |
| Natural gas sales volume | Ten thousand m³ | 129236 | 5 |
| Total pipeline gas users | Households | 2354203 | 5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Female employees | People | 1074 | 5 |
| Male employees | People | 1769 | 5 |
| Number of female employees | 1074 | 23 | |
| Number of male employees | 1769 | 23 | |
| Percentage of employees aged 25-30 | % | 36 | 23 |
| Percentage of employees aged 30-40 | % | 25 | 23 |
| Percentage of employees aged over 40 | % | 9 | 23 |
| Percentage of employees aged under 25 | % | 30 | 23 |
| Percentage of employees in Leader category | % | 6 | 23 |
| Percentage of employees in Manager category | % | 10 | 23 |
| Percentage of employees in Staff category | % | 70 | 23 |
| Percentage of employees in Supervisor category | % | 14 | 23 |
| Percentage of employees with Below Junior College education | % | 49 | 23 |
| Percentage of employees with Junior College (including part-time) education | % | 30 | 23 |
| Percentage of employees with Master and above education | % | 1 | 23 |
| Percentage of employees with Undergraduate (including part-time) education | % | 20 | 23 |
| Total assets | Million RMB | 11434 | 5 |
| Total number of employees | People | 2843 | 5, 23 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Safety inspection completion rate of subsidiaries | % | 100 | 5 |
Description of measures to review employment practices to avoid child and forced labour.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Non-compliance with laws and regulations relating to child labour and forced labour | None | 23 |
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 | 2018 | Report Pages |
|---|---|---|---|
| Non-compliance with laws and regulations relating to occupational health | None | 23 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Donation | Ten thousand RMB | 2000 | 5 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 0.44 |
| NOₓ Emissions | tonnes | 5.12 |
| SOₓ Emissions | tonnes | 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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 2901 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 38059 |
| Total GHG Emissions | tCO2e | 40960 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/Million RMB revenue | 8.01 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Total Hazardous Waste | tonnes |
| Total Hazardous Waste Intensity (By Revenue) | tonnes/million RMB revenue |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Non-Hazardous Waste Disposed | tonnes |
| Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/million RMB revenue |
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 |
|---|---|---|
| Diesel Fuel Consumption | tonnes | 102.11 |
| Energy Consumption Intensity (By Revenue) | MWh/Million RMB revenue | 14.45 |
| Gasoline Consumption | tonnes | 193.43 |
| Natural Gas Consumption | ten thousand m³ | 92.09 |
| Purchased Electricity | MWh | 45466.21 |
| Purchased Heating | GJ | 57766.57 |
| Total Direct Energy Consumption | MWh | 12966.99 |
| Total Energy Consumption | MWh | 73879.47 |
| Total Indirect Energy Consumption | MWh | 61512.48 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | A2.2 |
|---|---|---|
| Total Wastewater Discharge | tonnes | 4340 |
| Water Consumption | tonnes | 43373.37 |
| Water Consumption Intensity (By Revenue) | tonnes / million RMB revenue | 8.48 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Female Employees | People | 1074 |
| Number of Male Employees | People | 1769 |
| Number of Total Employees | People | 2843 |
| Percentage of Bachelor's Degree Employees | % | 20 |
| Percentage of Below Junior College Employees | % | 49 |
| Percentage of Employees Aged 30-50 | % | 25 |
| Percentage of Employees Aged Above 50 | % | 9 |
| Percentage of Employees Aged Below 30 | % | 66 |
| Percentage of Female Employees | % | 37.77 |
| Percentage of General Employees | % | 70 |
| Percentage of Junior Management Employees | % | 14 |
| Percentage of Male Employees | % | 62.23 |
| Percentage of Master's Degree Employees | % | 1 |
| Percentage of Middle Management Employees | % | 10 |
| Percentage of Senior Management Employees | % | 6 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Cash Donations | RMB | 20000000 |
| Total Public Welfare Donations | RMB | 20000000 |