2019 Environmental, Social and Governance Report
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 emissions (tonne) | tonne | 6.68 | 5.99 | 5.32 | 34 |
| SOx emissions (tonne) | tonne | 0.07 | 0.029 | 0.026 | 34 |
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 |
|---|---|---|---|---|---|
| Direct emissions (Scope 1) (tonne CO2eq) | tonne CO2eq | 1641 | 1432 | 1330 | 34 |
| GHG emissions (tonne CO2eq) | tonne CO2eq | 44601 | 44103 | 59544 | 34 |
| Indirect emissions (Scope 2) (tonne CO2eq) | tonne CO2eq | 42819 | 42675 | 58126 | 34 |
| Total GHG emissions per square meter of floor area (tonne CO2eq) | tonne CO2eq/m2 | 0.0541 | 0.0537 | 0.0724 | 34 |
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 |
|---|---|---|---|---|---|
| Fluorescent tube contained mercury (kg) | kg | 1778 | 1434 | 735 | 35 |
| Total hazardous waste produced (kg) | kg | 4089 | 2627 | 1924 | 35 |
| Total hazardous waste produced per square meter of floor area (kg) | kg | 0.005 | 0.0032 | 0.0023 | 35 |
| Used battery (kg) | kg | 277 | 261 | 564 | 35 |
| Used cartridge (kg) | kg | 284 | 464 | 221 | 35 |
| Waste oil for cleaning air-conditioning system (kg) | kg | 35 | 35 |
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 |
|---|---|---|---|---|---|
| Discarded towel recycled (piece) | piece | 44277 | 61454 | 34625 | 35 |
| Electronic waste (kg) | kg | 1715 | 468 | 404 | 35 |
| General waste (kg) | kg | 2116350 | 1896415 | 627683 | 34 |
| Glass recycled (kg) | kg | 8220 | 16183 | 102570 | 35 |
| Kitchen waste (kg) | kg | 2196039 | 3138443 | 1749852 | 34 |
| Plastic recycled (kg) | kg | 7320 | 35105 | 102701 | 35 |
| Total non-hazardous waste produced (kg) | kg | 4312389 | 5034858 | 2377515 | 34 |
| Total non-hazardous waste produced per square meter of floor area (kg) | kg/m2 | 5.25 | 6.13 | 2.89 | 34 |
| Used soap recycled (kg) | kg | 4380 | 2591 | 3936 | 35 |
| Used toothbrush recycled (piece) | piece | 264000 | 299639 | 333000 | 35 |
| Wastewater discharged (m³) | m³ | 997381 | 967245 | 903166 | 35 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission reduced by held trees (tonne CO2eq) | tonne CO2eq | N/A | N/A | 4 | 34 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Legally disposal rate of hazardous waste (%) | % | 100 | 100 | 100 | 35 |
| Legally disposal rate of non-hazardous waste (%) | % | 100 | 100 | 100 | 34 |
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 |
|---|---|---|---|---|---|
| Diesel (MWh) | MWh | 486 | 282 | 381 | 35 |
| Natural gas (MWh) | MWh | 6949 | 6279 | 5537 | 35 |
| Petrol (MWh) | MWh | 983 | 474 | 481 | 35 |
| Purchased electricity (MWh) | MWh | 70893 | 70655 | 62192 | 35 |
| Purchased heat (MWh) | MWh | 80744 | 74368 | 79950 | 35 |
| Total energy consumed per square meter of floor area (MWh) | MWh | 0.1948 | 0.185 | 0.1808 | 35 |
| Total energy consumption (MWh) | MWh | 160054 | 152058 | 148541 | 35 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Percentage of purchased municipal water (%) | % | 100 | 100 | 100 | 35 |
| Total water consumed per square meter of floor area (m³) | m³ | 1.32 | 1.28 | 1.2 | 35 |
| Total water consumption (m³) | m³ | 1084110 | 1051353 | 981702 | 35 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Held trees with height above or equal to 5 metres | N/A | 173 | 94 | 35 |
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 above 50 years old | 549 | 531 | 616 | 36 | |
| Employees above 50 years old (%) | % | 9.1 | 36 | ||
| Employees aged 30 to 50 | 2885 | 2813 | 3444 | 36 | |
| Employees aged 30 to 50 (%) | % | 58.9 | 36 | ||
| Employees below 30 years old | 1875 | 1823 | 1892 | 36 | |
| Employees below 30 years old (%) | % | 34.2 | 36 | ||
| Employees with Bachelor's Degree | 1459 | 1504 | 1834 | 36 | |
| Employees with Master's Degree and above | 208 | 230 | 290 | 36 | |
| Employees with other education background | 1210 | 1506 | 1580 | 36 | |
| Employees with secondary education diploma | 1016 | 593 | 593 | 36 | |
| Employees with tertiary education diploma | 1416 | 1334 | 1555 | 36 | |
| Number of female employees | 2237 | 2121 | 2449 | 36 | |
| Number of male employees | 3072 | 3046 | 3403 | 36 | |
| Ratio of basic salary and remuneration of female to male employees (General employees) | 1 | 1 | 1 | 36 | |
| Ratio of basic salary and remuneration of female to male employees (Management) | 1 | 1 | 1 | 36 | |
| Total number of employees | 5309 | 5167 | 5852 | 36 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee turnover rate (Female) | % | 23.3 | 36 |
| Employee turnover rate (Male) | % | 15.5 | 36 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Injury rate (per 200000 hours work) | 0.017 | 36 | |
| Number of reportable work injury | 1 | 36 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of lost day due to work-related injury | 3 | 36 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Clients' satisfaction (%) | % | N/A | N/A | 93.1 | 34 |
| Income tax expense (RMB'000) | RMB'000 | 1402372 | 1606703 | 2579488 | 34 |
| Revenue (RMB'000) | RMB'000 | 15303224 | 17859790 | 20122314 | 34 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of lawsuits in which products and services are suspected of infringing intellectual property rights | 1 | 34 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Amount of community/charity investment | RMB'000 | 950 | 950 | 950 | 36 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Accumulative number of helped children with congenital diseases | 225 | 265 | 283 | 36 | |
| Money invested in the designated poverty alleviation work | RMB'000 | 212 | 8875 | 36 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| NOₓ Emissions | tonne | 6.68 | 5.99 | 5.32 |
| SOₓ Emissions | tonne | 0.07 | 0.029 | 0.026 |
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 CO2eq | 1641 | 1432 | 1330 |
| Indirect Energy Emissions (Scope 2) | tonne CO2eq | 42819 | 42675 | 58126 |
| Total GHG Emissions | tonne CO2eq | 44601 | 44103 | 59544 |
| Total GHG Emissions Intensity (By Area) | tonne CO2eq/m2 | 0.0541 | 0.0537 | 0.0724 |
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) | kg | 277 | 261 | 564 |
| Total Hazardous Waste | kg | 4089 | 2627 | 1924 |
| Total Hazardous Waste Intensity (By Area) | kg | 0.005 | 0.0032 | 0.0023 |
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) | kg | 4312389 | 5034858 | 2377515 |
| Non-Hazardous Waste (Electronic Waste) | kg | 1715 | 468 | 404 |
| Non-Hazardous Waste (Kitchen Waste) | kg | 2196039 | 3138443 | 1749852 |
| Non-Hazardous Waste Disposed | kg | 2116350 | 1896415 | 627683 |
| Non-Hazardous Waste Recycled | kg | 4380 | 2591 | 102701 |
| Total Non-Hazardous Waste Intensity (By Area) | kg/m2 | 5.25 | 6.13 | 2.89 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tonne CO2eq | 4 |
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 | 486 | 282 | 381 |
| Energy Consumption Intensity (By Area) | MWh | 0.1948 | 0.185 | 0.1808 |
| Fossil Fuel Consumption | MWh | 8418 | 7035 | 6399 |
| Gasoline Consumption | MWh | 983 | 474 | 481 |
| Natural Gas Consumption | MWh | 6949 | 6279 | 5537 |
| Purchased Electricity | MWh | 70893 | 70655 | 62192 |
| Purchased Heating | MWh | 80744 | 74368 | 79950 |
| Total Direct Energy Consumption | MWh | 8418 | 7035 | 6399 |
| Total Energy Consumption | MWh | 160054 | 152058 | 148541 |
| Total Indirect Energy Consumption | MWh | 151637 | 145023 | 142142 |
| Total Non-Renewable Fuel Consumption | MWh | 8418 | 7035 | 6399 |
| Total Purchased Energy | MWh | 151637 | 145023 | 142142 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Municipal Water Consumption | m³ | 1084110 | 1051353 | 981702 |
| Water Consumption | m³ | 1084110 | 1051353 | 981702 |
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 Bachelor's Degree Employees | 1459 | 1504 | 1834 | |
| Number of Employees Aged 30-50 | 2885 | 2813 | 3444 | |
| Number of Employees Aged Above 50 | 549 | 531 | 616 | |
| Number of Employees Aged Below 30 | 1875 | 1823 | 1892 | |
| Number of Female Employees | 2237 | 2121 | 2449 | |
| Number of Male Employees | 3072 | 3046 | 3403 | |
| Number of Total Employees | 5309 | 5167 | 5852 | |
| Percentage of Employees Aged 30-50 | % | 58.9 | ||
| Percentage of Employees Aged Above 50 | 9.1 | |||
| Percentage of Employees Aged Below 30 | % | 34.2 | ||
| Percentage of Female Employees | % | 42.14 | 41.04 | 41.81 |
| Percentage of Male Employees | % | 57.86 | 58.96 | 58.19 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Female Employees | % | 23.3 |
| Turnover Rate of Male Employees | % | 15.5 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 3 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Intellectual Property Disputes | cases | 1 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB'000 | 212 | 8875 |