2019/20 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|---|
| NOx (Direct Air emissions) | tonne | Data not available | 79.08 | 95 | ||
| Odourant | tonne | 85 | 96.6 | 96 | ||
| Odourant consumption | tonne | 96.6 | 65 | |||
| PM (Direct Air emissions) | tonne | Data not available | 13.18 | 95 | ||
| SO2 (Direct Air emissions) | tonne | Data not available | 27.15 | 95 | ||
| Year-on-year decrease of average PM2.5 level in Beijing | % | 17.6 | 54 |
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 | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| GHG intensity | kgCO2e/GJ of energy sold | 0.19 | 0.21 | 95 | |
| GHG intensity (kgCO2e/GJ of energy sold) | kgCO2e/GJ | 0.21 | 64 | ||
| Scope 1 (direct emissions) | tCO2e | 111833.15 | 118000.5 | 95 | |
| Scope 1: Direct emissions (tCO2e) | tCO2e | 118000.5 | 64 | ||
| Scope 2 (energy indirect emissions) | tCO2e | 77776.57 | 91166.4 | 95 | |
| Scope 2: Energy indirect emissions (tCO2e) | tCO2e | 91166.4 | 64 | ||
| Scope 3 (other indirect emissions) | tCO2e | 44.44 | 394.22 | 95 | |
| Scope 3: Other indirect emissions (tCO2e) | tCO2e | 394.22 | 64 | ||
| Total GHG emissions | tCO2e | 189654.16 | 209561.13 | 95 | |
| Total GHG emissions (tCO2e) | tCO2e | 209561.13 | 64 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste generated | tonnes | 69.79 | 65 | ||
| Hazardous waste produced | tonne | 69.79 | 96 | ||
| Intensity of hazardous waste produced | tonne/employee | 0.001 | 96 | ||
| Total wastewater discharged | tonne, tonnes | 832383.9 | 1071995.76 | 66, 96 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| Intensity of non-hazardous waste produced | tonne/employee | 0.29 | 0.29 | 96 | |
| Non-hazardous waste generated | tonnes | 17323.06 | 65 | ||
| Non-hazardous waste produced | tonne | 14580.61 | 17323.06 | 96 | |
| Paper product/cardboard | tonne | 1769.48 | 1978.98 | 96 | |
| Paper product/cardboard consumption | tonne | 1978.98 | 65 | ||
| Plastic | tonne | 610.04 | 692.27 | 96 |
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 | 2019 | 2019/20 | 2020 | FY2017/18 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Antifreeze oil | barrel | 256 | 96 | |||||
| Antifreeze oil consumption | barrel | 256 | 65 | |||||
| Consumption of natural gas in China | billion m³ | 306.7 | 54 | |||||
| Diesel (Direct energy consumption) | tonne | 9757.56 | 3605.8 | 95 | ||||
| Diesel consumption | tonne | 3605.8 | 68 | |||||
| Electricity (non-renewable energy) | kWh | 117670446.86 | 149428626.06 | 95 | ||||
| Electricity (renewable energy) | kWh | 246709.58 | 253056.2 | 95 | ||||
| Energy consumption intensity | GJ/GJ of energy sold | 0.002 | 0.002 | 95 | ||||
| Energy intensity | GJ/GJ of energy sold | 0.002 | 68 | |||||
| Fuel oil (Direct energy consumption) | tonne | 3223.34 | 95 | |||||
| Global average year-over-year increase in natural gas consumption | % | 23 | 54 | |||||
| Heavy oil (Direct energy consumption) | tonne | 2929.7 | 2575.16 | 95 | ||||
| Heavy oil consumption | tonne | 2575.16 | 68 | |||||
| Kerosene (Direct energy consumption) | tonne | 0.43 | 95 | |||||
| Kerosene consumption | tonne | 0.43 | 68 | |||||
| LPG (Direct energy consumption) | tonne | 5407 | 69.4 | 95 | ||||
| LPG consumption | tonne | 69.4 | 68 | |||||
| Lubricant | tonne | 123.13 | 95.25 | 96 | ||||
| Lubricant consumption | tonne | 95.25 | 65 | |||||
| Natural gas (Direct energy consumption) | m3 | 8862017.5 | 37062260.71 | 95 | ||||
| Natural gas consumption | m³ | 37062260.71 | 68 | |||||
| Natural gas share of industrial fuel consumption in China | % | 10 | 54 | |||||
| Non-renewable electricity consumption | kWh | 149428626.06 | 68 | |||||
| Number of CNG/LNG refilling stations for vehicles and vessels | 556 | 11 | ||||||
| Number of natural gas long-distance pipeline projects | 17 | 11 | ||||||
| Penetration rate of residential users for city gas projects | % | 64.9 | 11 | |||||
| Petrol (Direct energy consumption) | tonne | 2000.99 | 2682.6 | 95 | ||||
| Petrol consumption | tonne | 2682.6 | 68 | |||||
| Piped gas sales volume | million m³ | 18868 | 24656 | 25372 | 13 | |||
| Primary energy consumption share of natural gas in China | % | 8.3 | 54 | |||||
| Renewable electricity consumption | kWh | 253056.2 | 68 | |||||
| Total amount invested in renewable energy | RMB | 8625900 | 113 | |||||
| Total amount of renewable energy generated by source (photovoltaic power generation projects) | million kWh | 5.197 | 113 | |||||
| Total direct energy consumption | GJ | 2117414.67 | 68 | |||||
| Total energy consumption | GJ | 1667892.44 | 2117414.67 | 95 | ||||
| Total length of gas transmission pipeline network | km | 402381 | 11 | |||||
| Total natural gas sales volume | billion m³ | 25.37 | 13 | |||||
| Total number of piped gas projects with concession rights | 604 | 11 | ||||||
| Trading segment and direct-supply pipeline business gas sales volume | billion m³ | 9.74 | 13 | |||||
| Year-over-year increase in natural gas consumption in China | % | 9.4 | 54 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|
| Total water consumption | tonne, tonnes | 1664768.8 | 1684559.06 | 66, 96 |
| Water consumption intensity | kg/GJ of energy sold | 2.09 | 1.67 | 96 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| Plastic consumption | tonne | 692.27 | 65 | ||
| Wood board | tonne | 7.2 | 5.58 | 96 | |
| Wood board consumption | tonne | 5.58 | 65 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| LPG cylinder | No. | 422453 | 402180 | 96 | |
| LPG cylinder consumption | No. | 402180 | 65 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|
| Employees 30–50 years old | people | 26872 | 36997 | 97 |
| Employees above 50 years old | people | 7458 | 6053 | 97 |
| Employees under 30 years old | people | 16744 | 16412 | 97 |
| Ethnic minority employees | people | 4338 | 4163 | 97 |
| Female employees | people | 19210 | 21219 | 97 |
| Full-time employees | people | 59462 | 97 | |
| General staff employees | people | 44369 | 51395 | 97 |
| General staff female ratio | % | 37 | 97 | |
| General staff male ratio | % | 63 | 97 | |
| Han ethnicity employees | people | 46736 | 55299 | 97 |
| Male employees | people | 31864 | 38243 | 97 |
| Middle-level management employees | people | 5158 | 6039 | 97 |
| Middle-level management female ratio | % | 32 | 97 | |
| Middle-level management male ratio | % | 68 | 97 | |
| Number of employees on maternity/paternity leave, Female | 671 | 78 | ||
| Number of employees on maternity/paternity leave, Male | 596 | 78 | ||
| Percentage of employees who returned to work after maternity/paternity leave ended in FY2018/19 and still employed by end of FY2019/20, Female | % | 100 | 78 | |
| Percentage of employees who returned to work after maternity/paternity leave ended in FY2018/19 and still employed by end of FY2019/20, Male | % | 95 | 78 | |
| Percentage of employees who returned to work after maternity/paternity leave ended, Female | % | 82 | 78 | |
| Percentage of employees who returned to work after maternity/paternity leave ended, Male | % | 100 | 78 | |
| Ratio of remuneration of male to female, General staff | 1:0.99 | 78 | ||
| Ratio of remuneration of male to female, Middle-level management | 1:1.01 | 78 | ||
| Ratio of remuneration of male to female, Senior management | 1:0.97 | 78 | ||
| Senior management employees | people | 1547 | 2028 | 97 |
| Senior management female ratio | % | 20 | 97 | |
| Senior management male ratio | % | 80 | 97 | |
| Total number of employees | people | 51074 | 59462 | 97 |
| Total working hours | hour | 101330816 | 118448304 | 98 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| High-consequence work-related injuries (excluding fatalities) | No. | 1 | 98 | ||
| Number of disability injuries | No. | 16 | 98 | ||
| Number of occupational disease cases | No. | 1 | 98 | ||
| Number of work-related fatalities | No. | 4 | 1 | 98 | |
| Number of work-related injuries | No. | 137 | 126 | 98 | |
| Rate of work-related fatalities | 0.002 | 0.01 | 0.002 | 41, 98 | |
| Rate of work-related injuries | 0.21 | 0.27 | 0.21 | 41, 98 |
Lost days due to work injury.
| Indicator | Unit | 2019/20 | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work-related injury | day | 621 | 6308 | 621 | 41, 98 |
| Rate of high-consequence work-related injuries (excluding fatalities) | 0.002 | 0.002 | 41, 98 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|
| Employee training rate | % | 100 | 100 | 98 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | FY2018/19 | FY2019/20 | Report Pages |
|---|---|---|---|---|
| Average training hours per employee | hour | 48.55 | 43.71 | 98 |
| Total training hours | hour | 2478392 | 2598104 | 98 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Total number of industrial users | users | 14678 | 11 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019/20 | FY2019/20 | Report Pages |
|---|---|---|---|---|
| Gas sales volume attributable by city gas pipelines | billion m³ | 15.63 | 13 | |
| Incidents of non-compliance concerning marketing communications | No such incident occurred | 117 | ||
| Incidents of non-compliance concerning product and service information and labeling | No such incident occurred | 117 | ||
| Non-compliance with laws and regulations in the social and economic area | No such incident occurred | 118 | ||
| Percentage of total Gasbo products sold or shipped subject to recalls for safety and health reasons | % | 0.06 | 105 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Total number of commercial users | users | 233687 | 11 |
| Total number of residential users | households | 35105524 | 11 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | FY2019/20 | Report Pages |
|---|---|---|---|---|
| Number and description of significant disputes with local communities and indigenous peoples | No such incident occurred | 117 | ||
| Number of single-parent children and their parent(s) participating in shrimp fishing day | families | 20 | 91 | |
| Total blood donated by employees at Xinyang Business Management Center | ml | 22000 | 91 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees who donated blood at Xinyang Business Management Center | employees | 57 | 91 |
| Number of volunteers for bright and colorful Christmas event, Hong Kong headquarters | volunteers | more than 30 | 91 |
| Number of volunteers for elderly day at St. James' Settlement, Wanchai, Hong Kong | volunteers | 17 | 91 |
| Number of volunteers for shrimp fishing day, Hong Kong headquarters | volunteers | 15 | 91 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 13.18 | |
| NOâ‚“ Emissions | tonne | 79.08 | |
| Odourant | tonne | 85 | 96.6 |
| SOâ‚“ Emissions | tonne | 27.15 |
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).
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 111833.15 | 118000.5 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 77776.57 | 91166.4 |
| Total GHG Emissions | tCO2e | 189654.16 | 209561.13 |
| Total GHG Emissions Intensity (By Energy) | kgCO2e/GJ | 0.19 | 0.21 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 44.44 | 394.22 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019/20 |
|---|---|---|
| Total Hazardous Waste | tonnes | 69.79 |
| Total Hazardous Waste Intensity (By Employee) | tonne/employee | 0.001 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Paper Waste | tonne | 1769.48 | 1978.98 |
| Plastic Waste | tonne | 610.04 | 692.27 |
| Total Non-Hazardous Waste Intensity (By Employee) | tonne/employee | 0.29 | 0.29 |
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 | 2018/19 | 2019/20 |
|---|---|---|---|
| Diesel Fuel Consumption | tonne | 9757.56 | 3605.8 |
| Energy Consumption Intensity (By Revenue) | GJ/GJ of energy sold | 0.002 | 0.002 |
| Gasoline Consumption | tonne | 2000.99 | 2682.6 |
| Heating Oil Consumption | tonne | 2929.7 | 2575.16 |
| LPG Consumption | tonne | 5407 | 69.4 |
| Natural Gas Consumption | m³ | 8862017.5 | 37062260.71 |
| Purchased Electricity | kWh | 117670446.86 | 149428626.06 |
| Renewable Energy Consumption | kWh | 246709.58 | 253056.2 |
| Total Direct Energy Consumption | GJ | 1667892.44 | 2117414.67 |
| Total Energy Consumption | GJ | 1667892.44 | 2117414.67 |
| Total Indirect Energy Consumption | kWh | 117670446.86 | 149428626.06 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Groundwater Consumption | tonnes | ||
| Municipal Water Consumption | tonnes | ||
| Seawater Consumption | tonnes | ||
| Surface Water Consumption | tonnes | ||
| Total Wastewater Discharge | tonnes | 832383.9 | 1071995.76 |
| Water Consumption | tonnes | 1664768.8 | 1684559.06 |
| Water Consumption Intensity (By Revenue) | kg/GJ of energy sold | 2.09 | 1.67 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Usage of Packaging Materials (Wood) | tonne | 7.2 | 5.58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Number of Employees Aged 30-50 | people | 26872 | 36997 |
| Number of Employees Aged Above 50 | people | 7458 | 6053 |
| Number of Employees Aged Below 30 | people | 16744 | 16412 |
| Number of Female Employees | people | 19210 | 21219 |
| Number of Full-time Employees | people | 59462 | |
| Number of General Employees | people | 44369 | 51395 |
| Number of Male Employees | people | 31864 | 38243 |
| Number of Middle Management Employees | people | 5158 | 6039 |
| Number of Senior Management Employees | people | 1547 | 2028 |
| Number of Total Employees | people | 51074 | 59462 |
| Percentage of Employees Aged 30-50 | % | 52.6 | 62.2 |
| Percentage of Employees Aged Above 50 | % | 14.6 | 10.2 |
| Percentage of Employees Aged Below 30 | % | 32.8 | 27.6 |
| Percentage of Female Employees | % | 37.6 | 35.7 |
| Percentage of Full-time Employees | % | 100 | |
| Percentage of Male Employees | % | 62.4 | 64.3 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | No. | 4 | 1 |
| Number of Work-related Fatalities | No. | 4 | 1 |
| Work-related Fatalities Rate | 0.01 | 0.002 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | day | 6308 | 621 |
| Rate of Work-related Injuries | 0.27 | 0.21 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018/19 | 2019/20 |
|---|---|---|---|
| Average Training Hours per Employee | hour | 48.55 | 43.71 |
| Total Training Hours | hour | 2478392 | 2598104 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit | 2019/20 |
|---|---|---|
| Percentage of Recalled Products for Safety and Health Reasons | % | 0.06 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Participating in Volunteer Activities | employees | 57 |
| Number of Registered Volunteers | employees | 57 |
| Number of Volunteers among Employees | employees | 57 |