China Shengmu ESG report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Exhaust pollutant emissions | m³ | 143431271.04 | 50138800 | 30117120 | 17 |
| NOₓ emissions | tons | 28.84 | 2.13 | 1.54 | 17 |
| SO₂ emissions | tons | 20.78 | 2.61 | 1.07 | 17 |
| Smoke and dust emissions | tons | 6.94 | 1.32 | 0.86 | 17 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| CO2 emissions per 10000 Yuan of sales revenue (tons/10000 Yuan) | tons/10000 Yuan | 0.44 | 0.35 | 0.35 | 19 |
| Greenhouse gas emissions (tons of CO2 equivalent) | tons | 126632.18 | 94849.64 | 94203.16 | 19 |
| Scope 1 emissions | tons | 55180.69 | 31816.13 | 24278.89 | 19 |
| Scope 2 emissions | tons | 71452.59 | 62373.81 | 69924.27 | 19 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Hazardous waste (medical waste and cow carcasses) | tons | 3046.71 | 2554.91 | 18 |
| Hazardous waste per 10000 Yuan of sales revenue | tons/10000 Yuan | 0.012 | 0.01 | 18 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| General waste | tons | 637.31 | 480.33 | 18 | |
| General waste per 10000 Yuan of sales revenue | tons/10000 Yuan | 0.003 | 0.002 | 18 | |
| Waste in total | tons | 7527.41 | 3684.02 | 3035.25 | 18 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Coal consumption | tons | 15644.6 | 7376.28 | 5559.34 | 18 |
| Diesel consumption | tons | 4467.19 | 3901.91 | 3035.32 | 18 |
| Electricity consumption | kWh | 73184661.94 | 64435754.73 | 72235814.93 | 18 |
| Energy use per 10000 Yuan of sales revenue | tons of standard coal/10000 Yuan | 0.09 | 0.07 | 0.07 | 18 |
| Number of small fans installed in cow barns | fans | 530 | 10 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Water Consumption | tons | 2036411.8 | 907765 | 2195325 | 19 |
| Water Consumption per 10000 Yuan of sales revenue (tons/10000 Yuan) | tons/10000 Yuan | 3.42 | 8.25 | 19 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of large fans installed in cow barns | fans | 24 | 10 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Desert area greened in the Ulan Buh Desert in Inner Mongolia | km² | 200+ | 16 |
| Number of dairy farms built in the desert | farms | 21 | 10 |
| Number of dairy farms constructed | farms | 33 | 10 |
| Number of organic dairy cows in stock | cows | 59000 | 10 |
| Number of organic dairy farms | farms | 14 | 10 |
| Number of self-built organic dairy farms | farms | 14 | 10 |
| Number of trees of various varieties planted in the Ulan Buh Desert in Inner Mongolia | trees | 97000000 | 16 |
| Organic grassland owned in the Ulan Buh Desert in Inner Mongolia | Mu | 220000 | 16 |
| Total number of cows in stock | cows | 110700 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Capacity per organic dairy farm in Ulan Buh Desert | cows | 2500–4500 | 10 |
| Number of employees aged 30 (inclusive) to 40 | persons | 706 | 21 |
| Number of employees aged 30 or under | persons | 770 | 21 |
| Number of employees aged 40 to 49 | persons | 722 | 21 |
| Number of employees aged above 50 | persons | 391 | 21 |
| Number of employees in financial management function | persons | 117 | 21 |
| Number of employees in operation function | persons | 2389 | 21 |
| Number of employees in sales function | persons | 11 | 21 |
| Number of employees in support function | persons | 72 | 21 |
| Number of employees with doctorate degree | persons | 3 | 21 |
| Number of employees with junior college degree | persons | 521 | 21 |
| Number of employees with master's degree | persons | 14 | 21 |
| Number of employees with technical secondary education and below | persons | 1783 | 21 |
| Number of employees with undergraduate degree | persons | 268 | 21 |
| Number of female employees | persons | 954 | 21 |
| Number of male employees | persons | 1635 | 21 |
| Percentage of employees aged 30 (inclusive) to 40 | % | 28 | 21 |
| Percentage of employees aged 30 or under | % | 30 | 21 |
| Percentage of employees aged 40 to 49 | % | 30 | 21 |
| Percentage of employees aged above 50 | % | 15 | 21 |
| Percentage of employees in financial management function | % | 5 | 21 |
| Percentage of employees in operation function | % | 92 | 21 |
| Percentage of employees in sales function | % | 0.4 | 21 |
| Percentage of employees in support function | % | 3 | 21 |
| Percentage of employees with doctorate degree | % | 0.1 | 21 |
| Percentage of employees with junior college degree | % | 20 | 21 |
| Percentage of employees with master's degree | % | 1 | 21 |
| Percentage of employees with technical secondary education and below | % | 69 | 21 |
| Percentage of employees with undergraduate degree | % | 7 | 21 |
| Percentage of female employees | % | 37 | 21 |
| Percentage of male employees | % | 63 | 21 |
| Total number of employees | persons | 2589 | 21 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of domestic suppliers | suppliers | 319 | 14 |
| Number of merged farms | farms | 2 | 10 |
| Number of organic suppliers | suppliers | 34 | 14 |
| Number of overseas suppliers | suppliers | 33 | 14 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of suppliers receiving training on organic systems | suppliers | 4 | 14 |
| Number of training sessions on organic systems for suppliers | sessions | 4 | 14 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of patents applied for (products, materials, processes, technology, etc.) | patents | 221 | 14 |
| Number of patents granted | patents | 120 | 14 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Economic loss avoided due to anti-corruption measures | Yuan | 15000 | 14 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 6.94 | 1.32 | 0.86 |
| NOₓ Emissions | tons | 28.84 | 2.13 | 1.54 |
| SOₓ Emissions | tons | 20.78 | 2.61 | 1.07 |
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 | 2019 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 55180.69 | 31816.13 | 24278.89 |
| Indirect Energy Emissions (Scope 2) | tons | 71452.59 | 62373.81 | 69924.27 |
| Total GHG Emissions | tons | 126632.18 | 94849.64 | 94203.16 |
| Total GHG Emissions Intensity (By Revenue) | tons/10000 Yuan | 0.44 | 0.35 | 0.35 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Total Hazardous Waste | tons | 3046.71 | 2554.91 |
| Total Hazardous Waste Intensity (By Revenue) | tons/10000 Yuan | 0.012 | 0.01 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tons | 7527.41 | 3684.02 | 3035.25 |
| Total Non-Hazardous Waste Intensity (By Revenue) | tons/10000 Yuan | 0.003 | 0.002 |
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 | 2019 | 2020 |
|---|---|---|---|---|
| Diesel Fuel Consumption | tons | 4467.19 | 3901.91 | 3035.32 |
| Energy Consumption Intensity (By Revenue) | tons of standard coal/10000 Yuan | 0.09 | 0.07 | 0.07 |
| Fossil Fuel Consumption | tons | 20111.79 | 11278.19 | 8594.66 |
| Grid Electricity Consumption | kWh | 73184661.94 | 64435754.73 | 72235814.93 |
| Purchased Electricity | kWh | 73184661.94 | 64435754.73 | 72235814.93 |
| Total Non-Renewable Fuel Consumption | tons | 20111.79 | 11278.19 | 8594.66 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | tons | 2036411.8 | 907765 | 2195325 |
| Water Consumption Intensity (By Revenue) | tons/10000 Yuan | 3.42 | 8.25 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Bachelor's Degree Employees | persons | 268 |
| Number of Below Junior College Employees | persons | 1783 |
| Number of Doctoral Degree Employees | persons | 3 |
| Number of Employees Aged 30-50 | persons | 1428 |
| Number of Employees Aged Above 50 | persons | 391 |
| Number of Employees Aged Below 30 | persons | 770 |
| Number of Female Employees | persons | 954 |
| Number of Male Employees | persons | 1635 |
| Number of Master's Degree Employees | persons | 14 |
| Number of Total Employees | persons | 2589 |
| Percentage of Bachelor's Degree Employees | % | 7 |
| Percentage of Below Junior College Employees | % | 69 |
| Percentage of Doctoral Degree Employees | % | 0.1 |
| Percentage of Employees Aged 30-50 | % | 58 |
| Percentage of Employees Aged Above 50 | % | 15 |
| Percentage of Employees Aged Below 30 | % | 30 |
| Percentage of Female Employees | % | 37 |
| Percentage of Male Employees | % | 63 |
| Percentage of Master's Degree Employees | % | 1 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit |
|---|---|
| Number of Work-related Fatalities | |
| Work-related Fatalities Rate |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers in Overseas | suppliers | 33 |
| Number of Total Suppliers | suppliers | 352 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Supplier Social Responsibility Training Sessions | sessions | 4 |
| Number of Suppliers Participating in ESG Training | suppliers | 4 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Patents Applied | patents | 221 |
| Number of Patents Granted | patents | 120 |