Environmental, Social and Governance Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Absorbed CO₂, Production base in Chengdu | kg | 301295 | 301295 | 17 |
| NO2 emissions (annual) | kg | 287.9 | 261.7 | 15 |
| NO2 emissions intensity per thousand yuan revenue | 0.00009 | 0.0001 | 15 | |
| PM emissions (annual) | kg | 217.9 | 199.8 | 15 |
| PM emissions intensity per thousand yuan revenue | 0.00007 | 0.00008 | 15 | |
| SO2 emissions intensity per thousand yuan revenue | 0.00092 | 0.00111 | 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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| CH4 CO2e emissions (annual) | kg | 3850 | 3514.4 | 15 |
| CH4 CO2e emissions intensity per thousand yuan revenue | 0.00118 | 0.00137 | 15 | |
| CH4 emissions (annual) | kg | 137.5 | 126 | 15 |
| CH4 emissions intensity per thousand yuan revenue | 0.00004 | 0.00005 | 15 | |
| CO2 emissions (annual) | kg | 11980867.1 | 11118357.3 | 15 |
| CO2 emissions intensity per thousand yuan revenue | 3.67106 | 4.32704 | 15 | |
| NO2 CO2e emissions (annual) | kg | 76289.6 | 71438.3 | 15 |
| NO2 CO2e emissions intensity per thousand yuan revenue | 0.02338 | 0.0278 | 15 | |
| SO2 emissions (annual) | kg | 2990.3 | 2847.1 | 15 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2030 | Report Pages |
|---|---|---|---|
| Greenhouse gas emissions reduction target per thousand RMB of operating income by 2030 compared with 2020 | % | 20 | 13 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Compliance rate of waste disposal | 100% | 12 |
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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Diesel consumption (L) - Annual Consumption | L | 159391 | 162837 | 14 |
| Diesel consumption (L) - Consumption Intensity per Thousand yuan revenue | L/Thousand yuan | 0.05 | 0.06 | 14 |
| Gasoline consumption (L) - Annual Consumption | L | 28849 | 15332 | 14 |
| Gasoline consumption (L) - Consumption Intensity per Thousand yuan revenue | L/Thousand yuan | 0.01 | 0.01 | 14 |
| Power consumption (KWH) - Annual Consumption | KWH | 10666214 | 10026803 | 14 |
| Power consumption (KWH) - Consumption Intensity per Thousand yuan revenue | KWH/Thousand yuan | 3.27 | 3.9 | 14 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Water consumption (m³) - Annual Consumption | m³ | 42708 | 53335 | 14 |
| Water consumption (m³) - Consumption Intensity per Thousand yuan revenue | m³/Thousand yuan | 0.01 | 0.02 | 14 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2030 | Report Pages |
|---|---|---|---|
| Water consumption reduction target per thousand RMB of operating income by 2030 compared to 2020 | % | 10 | 13 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Green area of the base, Production base in Chengdu | m² | 5183 | 5183 | 17 |
| Green area of the base, Production base in Shanghai | m² | 25783 | 25783 | 17 |
| Green area of the base, Production base in Shenyang | m² | 78200 | 78200 | 17 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of employees above the age of 50 | employees | 565 | 594 | 30 |
| Number of employees between the age of 30 and 50 | employees | 1830 | 1671 | 30 |
| Number of employees in Northeast of China | employees | 1945 | 1645 | 30 |
| Number of employees in other regions | employees | 566 | 731 | 30 |
| Number of employees under the age of 30 | employees | 92 | 111 | 30 |
| Number of female employees | employees | 390 | 370 | 30 |
| Number of male employees | employees | 2121 | 2006 | 30 |
| Number of ordinary employees | employees | 2415 | 2274 | 30 |
| Number of senior management employees | employees | 96 | 102 | 30 |
| Total number of employees | employees | 2511 | 2376 | 30 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Employee turnover rate in Northeast of China | percent | 11.3% | 30 |
| Employee turnover rate in other regions | percent | 15.5% | 30 |
| Overall employee turnover rate | percent | 12.6% | 30 |
| Turnover rate of employees above the age of 50 | percent | 15.8% | 30 |
| Turnover rate of employees between the age of 30 and 50 | percent | 10.9% | 30 |
| Turnover rate of employees under the age of 30 | percent | 20.7% | 30 |
| Turnover rate of female employees | percent | 13.0% | 30 |
| Turnover rate of male employees | percent | 12.5% | 30 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Rate of work related deaths | 0% | 0% | 0% | 27 |
Lost days due to work injury.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Reported headcount due to work related injuries | persons | 13 | 27 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of suppliers in Northeast of China | 121 | 93 | 37 | |
| Number of suppliers in Other regions of China | 193 | 215 | 37 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Patents for utility model obtained by the Group | 14 | 37 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 217.9 | 199.8 |
| NOₓ Emission Intensity (By Revenue) | 0.00009 | 0.0001 | |
| NOₓ Emissions | kg | 287.9 | 261.7 |
| PM Emission Intensity (By Revenue) | 0.00007 | 0.00008 | |
| SOₓ Emission Intensity (By Revenue) | 0.00092 | 0.00111 |
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 | 2022 | 2023 |
|---|---|---|---|
| Total GHG Emissions | kg | 11980867.1 | 11118357.3 |
| Total GHG Emissions Intensity (By Revenue) | 3.67106 | 4.32704 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2020 | % | 20 |
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 | 2022 | 2023 |
|---|---|---|---|
| Diesel Fuel Consumption | L | 159391 | 162837 |
| Gasoline Consumption | L | 28849 | 15332 |
| Grid Purchased Electricity Intensity (By Revenue) | KWH/Thousand yuan | 3.27 | 3.9 |
| Purchased Electricity | KWH | 10666214 | 10026803 |
| Purchased Electricity Intensity (By Revenue) | KWH/Thousand yuan | 3.27 | 3.9 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Water Consumption | m³ | 42708 | 53335 |
| Water Consumption Intensity (By Revenue) | m³/Thousand yuan | 0.01 | 0.02 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Employees Aged 30-50 | employees | 1830 | 1671 |
| Number of Employees Aged Above 50 | employees | 565 | 594 |
| Number of Employees Aged Below 30 | employees | 92 | 111 |
| Number of Employees in Northeast China | employees | 1945 | 1645 |
| Number of Female Employees | employees | 390 | 370 |
| Number of General Employees | employees | 2415 | 2274 |
| Number of Male Employees | employees | 2121 | 2006 |
| Number of Senior Management Employees | employees | 96 | 102 |
| Number of Total Employees | employees | 2511 | 2376 |
| Percentage of Employees Aged 30-50 | percent | 72.87 | 70.34 |
| Percentage of Employees Aged Above 50 | percent | 22.5 | 25 |
| Percentage of Employees Aged Below 30 | percent | 3.66 | 4.67 |
| Percentage of Employees in Northeast China | percent | 77.45 | 69.23 |
| Percentage of Female Employees | percent | 15.53 | 15.57 |
| Percentage of General Employees | percent | 96.86 | 95.72 |
| Percentage of Male Employees | percent | 84.5 | 84.45 |
| Percentage of Senior Management Employees | percent | 3.82 | 4.29 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | percent | 10.9 |
| Turnover Rate of Employees Aged Above 50 | percent | 15.8 |
| Turnover Rate of Employees Aged Below 30 | percent | 20.7 |
| Turnover Rate of Employees in Northeast China | percent | 11.3 |
| Turnover Rate of Female Employees | percent | 13 |
| Turnover Rate of Male Employees | percent | 12.5 |
| Turnover Rate of Total Employees | percent | 12.6 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Work-related Injuries | persons | 13 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Suppliers in Mainland China | 314 | 308 | |
| Number of Suppliers in Northeast China | 121 | 93 | |
| Number of Total Suppliers | 314 | 308 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Authorised Utility Model Patents | 14 |