Great Wall Motor Company Limited Corporate Social responsibility report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| NOx emission | Ton | 61.31 | 48.62 | 36 |
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 | Report Pages |
|---|---|---|---|---|
| Greenhouse gas emission of parts and components companies | Ton/Sales of RMB10000 | 0.16 | 0.17 | 36 |
| Greenhouse gas emission of the main engine plant | Ton/Unit | 0.57 | 0.6 | 36 |
| SO2 emission | Ton | 10.61 | 8.29 | 36 |
| Total greenhouse gas emission | Ton | 1353839.01 | 1291094.22 | 36 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Hazardous waste intensity | Ton/Unit | 0.02 | 0.01 | 36 |
| Total hazardous waste produced | Ton | 17309.74 | 11137.13 | 36 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Non-hazardous waste intensity | Ton/Unit | 0.015 | 0.015 | 36 |
| Total non-hazardous waste produced | Ton | 16100 | 15900 | 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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Diesel consumption in total | Ton | 1715.7 | 1494.35 | 36 |
| Diesel consumption intensity | kg/Unit | 1.69 | 1.42 | 36 |
| Electricity consumption in total | '000 kWh | 1038774.59 | 1027081.54 | 36 |
| Electricity consumption intensity | kWh/Unit | 10207.17 | 9741.09 | 36 |
| General energy consumption volume | ton of standard coal equivalent | 289423 | 280209 | 36 |
| General energy consumption volume per unit | ton of standard coal equivalent/Unit | 0.28 | 0.27 | 36 |
| Natural gas consumption | 000 m³ | 48519.63 | 49909.4 | 36 |
| Natural gas consumption intensity | m³/Unit | 47.68 | 46.57 | 36 |
| Petrol consumption in total | kg | 8093.46 | 8083.31 | 36 |
| Petrol consumption intensity | kg/Unit | 7.95 | 7.67 | 36 |
| Steam consumption in total | Ton | 64101.55 | 57783.4 | 36 |
| Steam consumption intensity | kg/Unit | 629.96 | 547.41 | 36 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Industrial wastewater | Ton | 742167 | 1022994 | 36 |
| Water resource consumption in total | Ton | 4349074.74 | 4465355.55 | 36 |
| Water resource consumption intensity | Ton/Unit | 2.27 | 2.24 | 36 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Administrative officers | person | 4324 | 3240 | 36 |
| Attributable net profit | RMB100 million | 52.07 | 44.97 | 37 |
| Bachelor's degree (workforce by education level) | person | 15714 | 16593 | 36 |
| Doctor's degree (workforce by education level) | person | 89 | 89 | 36 |
| Financial personnel | person | 852 | 899 | 36 |
| Manufacturing personnel | person | 30575 | 26675 | 36 |
| Master's degree (workforce by education level) | person | 1805 | 2010 | 36 |
| Others (workforce) | person | 9010 | 9320 | 36 |
| Sales personnel | person | 1722 | 2410 | 36 |
| Secondary schools and below (workforce by education level) | person | 31955 | 27854 | 36 |
| Technicians | person | 16922 | 17003 | 36 |
| Total assets | RMB100 million | 1118 | 1130.96 | 37 |
| Total operating income | RMB100 million | 992.3 | 962.11 | 37 |
| Total workforce | person | 63455 | 59756 | 36 |
| University diploma (workforce by education level) | person | 13892 | 13210 | 36 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of employees involved in work injury | person | 29 | 23 | 36 |
| Rate of work injury | ‰ | 0.0149 | 0.012 | 36 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Lost hours due to work injury | hour | 2392 | 2248 | 36 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Percentage of employees trained - general staff | % | 100 | 100 | 37 |
| Percentage of employees trained - middle management | % | 100 | 100 | 37 |
| Percentage of employees trained - senior management | % | 100 | 100 | 37 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Average training hours completed per employee - administrative | hour | 38 | 41 | 37 |
| Average training hours completed per employee - production | hour | 34 | 45 | 37 |
| Average training hours completed per employee - research and development | hour | 42 | 52 | 37 |
| Average training hours completed per employee - sales | hour | 39 | 46 | 37 |
| Average training hours completed per employee - technical | hour | 44 | 48 | 37 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Sales | 10000 | 104.37 | 105.86 | 37 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Net assets | RMB100 million | 526.89 | 543.99 | 37 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of patents - patents applied | item | 1278 | 1485 | 37 |
| Number of patents - patents granted | 854 | 951 | 37 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of concluded legal cases regarding corrupt practices brought against the issuer and its employees | 1 | 1 | 37 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Resources contributed to education, environmental concerns, labour needs, health, culture and sport - investment in poverty alleviation (charity) | RMB10000 | 197.57 | 1354.96 | 37 |
| Resources contributed to education, environmental concerns, labour needs, health, culture and sport - money | RMB10000 | 5105.41 | 5635.22 | 37 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| NOₓ Emissions | Ton | 61.31 | 48.62 |
| SOₓ Emissions | Ton | 10.61 | 8.29 |
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 |
|---|---|---|---|
| Total GHG Emissions | Ton | 1353839.01 | 1291094.22 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Total Hazardous Waste | Ton | 17309.74 | 11137.13 |
| Total Hazardous Waste Intensity (By Unit Product) | Ton/Unit | 0.02 | 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 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | Ton | 16100 | 15900 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | Ton/Unit | 0.015 | 0.015 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | Ton | 1715.7 | 1494.35 |
| Direct Energy Intensity (By Unit Product) | kg/Unit | 1.69 | 547.41 |
| Energy Consumption Intensity (By Unit Product) | ton of standard coal equivalent/Unit | 0.28 | 0.27 |
| Gasoline Consumption | kg | 8093.46 | 8083.31 |
| Natural Gas Consumption | 000 m³ | 48519.63 | 49909.4 |
| Purchased Electricity | '000 kWh | 1038774.59 | 1027081.54 |
| Purchased Steam | Ton | 64101.55 | 57783.4 |
| Total Electricity Consumption Intensity (By Unit Product) | kWh/Unit | 10207.17 | 9741.09 |
| Total Energy Consumption | ton of standard coal equivalent | 289423 | 280209 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Discharge of Industrial Wastewater | Ton | 742167 | 1022994 |
| Total Water Withdrawal | Ton | 4349074.74 | 4465355.55 |
| Water Consumption Intensity (By Revenue) | Ton/Unit | 2.27 | 2.24 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | person | 15714 | 16593 |
| Number of Below Junior College Employees | person | 31955 | 27854 |
| Number of Doctoral Degree Employees | person | 89 | 89 |
| Number of Master's Degree Employees | person | 1805 | 2010 |
| Number of Total Employees | person | 63455 | 59756 |
| Percentage of Bachelor's Degree Employees | percent | 24.77 | 27.77 |
| Percentage of Below Junior College Employees | percent | 50.37 | 46.62 |
| Percentage of Doctoral Degree Employees | percent | 0.14 | 0.15 |
| Percentage of Master's Degree Employees | percent | 2.85 | 3.36 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Rate of Work-related Injuries | ‰ | 0.0149 | 0.012 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 |
| Percentage of Trained Middle Management | % | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Average Training Hours (Administrative Employees) | hour | 38 | 41 |
| Average Training Hours (Marketing & Customer Service) | hour | 39 | 46 |
| Average Training Hours (Production Employees) | hour | 34 | 45 |
| Average Training Hours (R&D Personnel Employees) | hour | 42 | 52 |
| Average Training Hours (Technical Employees) | hour | 44 | 48 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Patents Applied | item | 1278 | 1485 |
| Number of Patents Granted | item | 854 | 951 |
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.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Concluded Corruption Lawsuits | 1 | 1 |