2023 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Ammonia nitrogen emissions from polysilicon production | tonne | 3.86 | 9.75 | 39 |
| COD emissions density from polysilicon production | per tonne | 0.0003 | 0.0004 | 39 |
| COD emissions from polysilicon production | tonne | 37.93 | 67.76 | 39 |
| Desulfurization gypsum emissions density from self-owned power plants | per tonne | 0.532 | 0.3584 | 39 |
| Desulfurization gypsum emissions from self-owned power plants | tonne | 66957.95 | 68568.58 | 39 |
| Dust emissions density from self-owned power plants | per tonne | 0.0002 | 0.0002 | 39 |
| Dust emissions from self-owned power plants | tonne | 30.12 | 37.47 | 39 |
| Fly ash emissions density from self-owned power plants | per tonne | 2.1254 | 1.1291 | 39 |
| Fly ash emissions from self-owned power plants | tonne | 267583.42 | 215997.5 | 39 |
| Hydrolyzate emissions density from polysilicon production | per tonne | 0.5775 | 1.1407 | 39 |
| Hydrolyzate emissions from polysilicon production | tonne | 72710.09 | 218227.44 | 39 |
| Nitrogen oxides emissions density from self-owned power plants | per tonne | 0.0057 | 0.0037 | 39 |
| Nitrogen oxides emissions from self-owned power plants | tonne | 712.55 | 706.58 | 39 |
| Sulfur dioxide emissions density from self-owned power plants | per tonne | 0.0025 | 0.0016 | 39 |
| Sulfur dioxide emissions from self-owned power plants | tonne | 312.75 | 310.47 | 39 |
| Waste denitration catalyst emissions density from self-owned power plants | per tonne | 0.0015 | 0.0011 | 39 |
| Waste denitration catalyst emissions from self-owned power plants | tonne | 183.64 | 210.25 | 39 |
| Waste oil barrel emissions density from equipment lubrication | per tonne | 0.0001 | 39 | |
| Waste oil barrel emissions from equipment lubrication | tonne | 1.32 | 25.56 | 39 |
| Waste oil emissions density from equipment lubrication | per tonne | 0.0008 | 0.0015 | 39 |
| Waste oil emissions from equipment lubrication | tonne | 100.71 | 280 | 39 |
| Waste sulfuric acid emissions density from polysilicon production | per tonne | 0.005 | 0.007 | 39 |
| Waste sulfuric acid emissions from polysilicon production | tonne | 627.68 | 1344.04 | 39 |
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 |
|---|---|---|---|---|
| Carbon dioxide (Scope 1) emissions density from self-owned power plants | per tonne | 34.7376 | 23.284 | 39 |
| Carbon dioxide (Scope 1) emissions from self-owned power plants | tonne | 4373460 | 4454305.21 | 39 |
| Carbon dioxide (Scope 2) emissions density from purchased electricity | per tonne | 8.3173 | 31.913 | 39 |
| Carbon dioxide (Scope 2) emissions from purchased electricity | tonne | 1047143 | 6105056.64 | 39 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Waste acid barrel emissions from polysilicon production | tonne | 4.87 | 8.14 | 39 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Annual domestic sewage recovery rate | 85.58% | 36 | ||
| Furnace slag emissions density from self-owned power plants | per tonne | 1.8457 | 1.0713 | 39 |
| Furnace slag emissions from self-owned power plants | tonne | 232373.28 | 204939.85 | 39 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Domestic sewage reused after treatment | m³ | 270481 | 36 |
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 |
|---|---|---|---|---|
| Annual production capacity of high-purity polysilicon | tons | 300000 | 5 | |
| Electric energy - Consumption in Office | ten thousand kWh | 976 | 1731.18 | 35 |
| Electric energy - Consumption in Production | ten thousand kWh | 874285 | 1482765.29 | 35 |
| Electric energy - Density in Office | per tonne | 0.0078 | 0.009 | 35 |
| Electric energy - Density in Production | per tonne | 6.9443 | 7.7509 | 35 |
| Fuel and other - Coal consumption | tonne | 2574665 | 2543359 | 35 |
| Fuel and other - Coal density | per tonne | 20.4501 | 13.2949 | 35 |
| Fuel and other - Diesel consumption | tonne | 117 | 95.79 | 35 |
| Fuel and other - Diesel density | per tonne | 0.0009 | 0.0005 | 35 |
| Installed capacity of PV and wind power projects recognized by the Group | GW | 2.19 | 36 | |
| Installed capacity of independently operated wind power and PV projects connected to grid | GW | 3 | 5 | |
| Installed capacity of operating power stations under construction | GW | 1 | 5 | |
| Scale of wind energy and PV power station operation projects completed by the Group | GW | 3.23 | 36 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Domestic sewage received by Group's domestic sewage treatment stations | m³ | 316047 | 36 | |
| Water resources - Consumption in Office | ten thousand m³ | 68.77 | 88.1 | 35 |
| Water resources - Consumption in Production | ten thousand m³ | 774.34 | 995.91 | 35 |
| Water resources - Density in Office | per tonne | 0.0005 | 0.0005 | 35 |
| Water resources - Density in Production | per tonne | 0.0062 | 0.0052 | 35 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Packaging materials - Paper materials consumption | tonne | 3232 | 43608.6 | 35 |
| Packaging materials - Paper materials density | per tonne | 0.0257 | 0.228 | 35 |
| Packaging materials - Plastic materials consumption | tonne | 2079 | 40547.64 | 35 |
| Packaging materials - Plastic materials density | per tonne | 0.0165 | 0.212 | 35 |
| Packaging materials - Wooden materials consumption | tonne | 3767 | 24673.8 | 35 |
| Packaging materials - Wooden materials density | per tonne | 0.0299 | 0.129 | 35 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Annual output of high-purity polysilicon | tons | 191300 | 5 |
| Number of R&D personnel | individuals | 1137 | 48 |
| Number of employees above 50 | individuals | 137 | 48 |
| Number of employees between 30 and 49 | individuals | 4049 | 48 |
| Number of employees in North China | individuals | 1549 | 48 |
| Number of employees in Northwest China | individuals | 7037 | 48 |
| Number of employees under 30 | individuals | 4400 | 48 |
| Number of employees with Doctor degree | individuals | 36 | 48 |
| Number of employees with Postgraduate degree | individuals | 715 | 48 |
| Number of employees with Undergraduate degree | individuals | 4097 | 48 |
| Number of employees with other education levels | individuals | 3738 | 48 |
| Number of female employees | individuals | 1596 | 48 |
| Number of financial personnel | individuals | 162 | 48 |
| Number of male employees | individuals | 6990 | 48 |
| Number of management personnel | individuals | 1273 | 48 |
| Number of other personnel | individuals | 216 | 48 |
| Number of production personnel | individuals | 5113 | 48 |
| Number of regular employees | individuals | 7933 | 48 |
| Number of sales personnel | individuals | 685 | 48 |
| Number of workers from labor dispatch agencies | individuals | 653 | 48 |
| Operating revenue | billion RMB | 30.752 | 5 |
| Proportion of R&D personnel | 13.24% | 48 | |
| Proportion of employees above 50 | 1.60% | 48 | |
| Proportion of employees between 30 and 49 | 47.16% | 48 | |
| Proportion of employees in North China | 18.04% | 48 | |
| Proportion of employees in Northwest China | 81.96% | 48 | |
| Proportion of employees under 30 | 51.25% | 48 | |
| Proportion of employees with Doctor degree | 0.42% | 48 | |
| Proportion of employees with Postgraduate degree | 8.33% | 48 | |
| Proportion of employees with Undergraduate degree | 47.72% | 48 | |
| Proportion of employees with other education levels | 43.54% | 48 | |
| Proportion of female employees | 18.59% | 48 | |
| Proportion of financial personnel | 1.89% | 48 | |
| Proportion of male employees | 81.41% | 48 | |
| Proportion of management personnel | 14.83% | 48 | |
| Proportion of other personnel | 2.52% | 48 | |
| Proportion of production personnel | 59.55% | 48 | |
| Proportion of sales personnel | 7.98% | 48 | |
| Total number of employees | individuals | 8586 | 48 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of employees lost (North China) | person | 457 | 49 |
| Number of employees lost (Northwest China) | person | 1417 | 49 |
| Number of employees lost (above 50) | person | 17 | 49 |
| Number of employees lost (between 30 and 49) | person | 715 | 49 |
| Number of employees lost (female) | person | 270 | 49 |
| Number of employees lost (male) | person | 1604 | 49 |
| Number of employees lost (under 30) | person | 1142 | 49 |
| Proportion of employees lost (North China) | 24.39% | 49 | |
| Proportion of employees lost (Northwest China) | 75.61% | 49 | |
| Proportion of employees lost (above 50) | 0.91% | 49 | |
| Proportion of employees lost (between 30 and 49) | 38.15% | 49 | |
| Proportion of employees lost (female) | 14.41% | 49 | |
| Proportion of employees lost (male) | 85.59% | 49 | |
| Proportion of employees lost (under 30) | 60.94% | 49 | |
| Staff turnover rate | 21.83% | 49 | |
| Total number of employees resigned | person | 1874 | 49 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of employee skills training courses developed with universities | courses | 30 | 54 |
| Number of people with completed vocational qualification level accreditation | people | 486 | 54 |
| Number of practical training platforms built | platforms | 4 | 54 |
| Number of practical trainings conducted | trainings | 3000 | 54 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Average training hours per employee | hours/person | 27.07 | 54 |
| Average training hours per female employee | hours/person | 23.17 | 54 |
| Average training hours per general staff | hours/person | 25.41 | 54 |
| Average training hours per high level position | hours/person | 197.64 | 54 |
| Average training hours per male employee | hours/person | 26.09 | 54 |
| Average training hours per middle level position | hours/person | 91.12 | 54 |
| Increase in annual output of high-purity polysilicon | % | 52.01 | 5 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Inverter shipments | GW | 15 | 5 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Sales of high-purity polysilicon | tons | 202900 | 5 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Decrease in operating revenue compared with previous year | % | 16.51 | 5 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Increase in sales of high-purity polysilicon | % | 90.16 | 5 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 30.12 | 37.47 |
| NOₓ Emissions | tonne | 712.55 | 706.58 |
| SOₓ Emissions | tonne | 312.75 | 310.47 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne | 4373460 | 4454305.21 |
| Indirect Energy Emissions (Scope 2) | tonne | 1047143 | 6105056.64 |
| Scope 1 GHG Emissions Intensity (By Unit Product) | per tonne | 34.7376 | 23.284 |
| Scope 2 GHG Emissions Intensity (By Unit Product) | per tonne | 8.3173 | 31.913 |
| Total GHG Emissions | tonne | 5420603 | 10559361.85 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Total Hazardous Waste | tonne | 4.87 | 8.14 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Unit Product) | per tonne | 1.8457 | 1.0713 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Compared to Last Year | tonnes/year |
| Dust Reduction Compared to Last Year | tonnes/year |
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 | tonne | 117 | 95.79 |
| Fossil Fuel Consumption | tonne | 2574782 | 2543454.79 |
| Purchased Electricity | kWh | 8742850 | 14827652.9 |
| Purchased Electricity Intensity (By Product Weight) | per tonne | 6.9443 | 7.7509 |
| Total Direct Energy Consumption | tonne | 2574782 | 2543454.79 |
| Total Energy Consumption | tonne/energy equivalent | 2583527 | 2543454.79 |
| Total Indirect Energy Consumption | kWh | 8742850 | 14827652.9 |
| Total Non-Renewable Fuel Consumption | tonne | 2574782 | 2543454.79 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Discharge of Domestic Wastewater | m³ | 316047 | |
| Water Consumption | ten thousand m³ | 843.11 | 1084.01 |
| Water Consumption in Office | ten thousand m³ | 68.77 | 88.1 |
| Water Consumption in Production and Operation | ten thousand m³ | 774.34 | 995.91 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Packaging Material Consumption (Paper) | tonne | 3232 | 43608.6 |
| Packaging Material Consumption (Plastic) | tonne | 2079 | 40547.64 |
| Packaging Materials Consumed | tonne | 9078 | 108830.04 |
| Usage of Packaging Materials (Wood) | tonne | 3767 | 24673.8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Employees Aged 30-50 | individuals | 4049 |
| Number of Employees Aged Above 50 | individuals | 137 |
| Number of Employees Aged Below 30 | individuals | 4400 |
| Number of Employees in North China | individuals | 1549 |
| Number of Employees in Northwest China | individuals | 7037 |
| Number of Female Employees | individuals | 1596 |
| Number of Male Employees | individuals | 6990 |
| Number of Total Employees | individuals | 8586 |
| Percentage of Employees Aged 30-50 | % | 47.16 |
| Percentage of Employees Aged Above 50 | % | 1.6 |
| Percentage of Employees Aged Below 30 | % | 51.25 |
| Percentage of Employees in North China | % | 18.04 |
| Percentage of Employees in Northwest China | % | 81.96 |
| Percentage of Female Employees | % | 18.59 |
| Percentage of Male Employees | % | 81.41 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 38.15 |
| Turnover Rate of Employees Aged Above 50 | % | 0.91 |
| Turnover Rate of Employees Aged Below 30 | % | 60.94 |
| Turnover Rate of Employees in North China | % | 24.39 |
| Turnover Rate of Employees in Northwest China | % | 75.61 |
| Turnover Rate of Female Employees | % | 14.41 |
| Turnover Rate of Male Employees | % | 85.59 |
| Turnover Rate of Total Employees | % | 21.83 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of People Receiving Training on Work Safety | employees |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % increase | 20.5 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (Female) | hours/person | 23.17 |
| Average Training Hours (General Staff) | hours/person | 25.41 |
| Average Training Hours (Male) | hours/person | 26.09 |
| Average Training Hours (Middle Management) | hours/person | 91.12 |
| Average Training Hours (Senior Management) | hours/person | 197.64 |
| Average Training Hours per Employee | hours/person | 27.07 |