Social Responsibility Report 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Chemical Oxygen Demand (COD) | kg | 40.38 | 39.55 | 46.52 | 27 |
| Nitrogen Oxides (NOx) emissions | ton | 0.15687 | 0.06972 | 27 | |
| Particulate Matter (PM) emissions | ton | 0.01155 | 0.00784 | 27 |
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 | Report Pages |
|---|---|---|---|---|
| Carbon emissions per operating revenue | tons/RMB 10000 | 0.03 | 5 | |
| Category I: Direct emissions (tons of carbon dioxide equivalent) | ton | 1123.13 | 439 | 27 |
| Category II: Indirect emissions (tons of carbon dioxide equivalent) | ton | 15682.49 | 12880.76 | 27 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Disposal of Electric waste such as waste battery | kg | 27 | 21 | 212.4 | 27 |
| Disposal of Waste Chemical Paint Tin | ton | 18 | 15.8 | 16.8 | 27 |
| Disposal of Waste fluorescent lamp | kg | 295 | 310 | 26.2 | 27 |
| Disposal of Waste selenium drum | piece | 808 | 1006 | 873 | 27 |
| Disposal of Waste toner cartridge (including waste toner) | piece | 275 | 399 | 357 | 27 |
| Disposal of electrical gloves | ton | 0.7 | 0.6 | 0.66 | 27 |
| Metal waste | ton | 0.02 | 0.28 | 2.83 | 27 |
| Wooden Products waste | kg | 40 | 53 | 2.7 | 27 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Kitchen Waste | ton | 0.87 | 3.6 | 3.46 | 27 |
| Number of pieces produced for ST181-26512 radiator frame after improvement | pieces | 154 | 16 | ||
| Paper waste | ton | 2.02 | 2.65 | 1.713 | 27 |
| Plastics waste | ton | 0.0079 | 0.0039 | 0.052 | 27 |
| Total non-hazardous waste output | ton | 7.76 | 27 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption | MWh | 17775.8 | 19934.6 | 15927.7 | 27 |
| Energy consumption per operating revenue | tons of standard coal/RMB 10000 | 0.0049 | 5 | ||
| Fuel energy consumption (Gasoline) | ton | 232.84 | 227.836 | 146.855 | 27 |
| Fuel energy consumption (Natural Gas) | ton | 19.5 | 27 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Waste Water Discharge | ton | 163071 | 162409 | 195500 | 27 |
| Water Consumption | ton | 181190 | 181054 | 217420 | 27 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Production efficiency increase for ST181-26512 radiator frame after improvement | % | 1.49 | 16 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Metal packaging materials used | ton | 10.5 | 11 | 11.1 | 27 |
| Paper packaging materials used | ton | 482 | 600 | 592 | 27 |
| Plastics packaging materials used | ton | 135.2 | 183 | 168.8 | 27 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Employees | 3507 | 5 | ||
| Number of employees aged 30 years old and below (2018) | person | 93 | 19 | |
| Number of employees aged 31-40 years old (2018) | person | 97 | 19 | |
| Number of employees aged 41-50 years old (2018) | person | 97 | 19 | |
| Number of employees aged 51 years old and above (2018) | person | 37 | 19 | |
| Number of female employees (2018) | person | 237 | 19 | |
| Number of male employees (2018) | person | 87 | 19 | |
| Number of middle management employees (2018) | person | 11 | 19 | |
| Number of primary-level employees (2018) | person | 311 | 19 | |
| Number of senior management employees (2018) | person | 2 | 19 | |
| Operating revenue | billion RMB | 4.501 | 5 | |
| Proportion of employees aged 30 years old and below | % | 0.99 | 0.84 | 19 |
| Proportion of employees aged 31-40 years old | % | 1.16 | 0.97 | 19 |
| Proportion of employees aged 41-50 years old | % | 1.04 | 0.97 | 19 |
| Proportion of employees aged 51 years old and above | % | 0.16 | 0.16 | 19 |
| Proportion of female employees | % | 1.03 | 33.7% | 5, 19 |
| Proportion of male employees | % | 1.05 | 0.94 | 19 |
| Proportion of middle management employees | % | 0.16 | 0.09 | 19 |
| Proportion of primary-level employees | % | 2.45 | 2.81 | 19 |
| Total assets | billion RMB | 6.185 | 5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Coverage of employee training | % | 100 | 22 |
| Number of city-level technical expert workshops in Nanjing | 4 | 22 | |
| Number of employees who obtained professional skill level certificates | 7 | 22 | |
| Number of employees who passed professional title assessment and obtained professional titles | 15 | 22 | |
| Number of province-level technical expert workshops in Jiangsu | 1 | 22 | |
| Number of training sessions for management | 37 | 22 | |
| Number of training sessions for new employees | 183 | 22 | |
| Number of training sessions for technical personnel | 220 | 22 | |
| Number of training sessions on various kinds, completed training courses and newly recruited university graduates | 363 | 22 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Average employee training hours for all staff | hour | 13.72 | 22 |
| Average employee training hours for female employees | hour | 14.7 | 22 |
| Average employee training hours for male employees | hour | 14.73 | 22 |
| Average employee training hours for middle management | hour | 19.06 | 22 |
| Average employee training hours for primary-level employees | hour | 13.28 | 22 |
| Average employee training hours for senior management | hour | 80 | 22 |
| Training hours per employee | hours | 14.72 | 5 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Suppliers | 2267 | 5 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Customer service satisfaction | 98% | 5 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Authorized invention patents | patents | 18 | 8 |
| Authorized invention patents included in licensed patents | 18 | 5 | |
| Cases of trademark disputes and patent invalidation | cases | 21 | 8 |
| Counterfeiting cases handled | cases | 15 | 8 |
| Invention patents account for more than | percent | 50% | 8 |
| Invention patents included in patents applied | 53 | 5 | |
| Licensed patents | 87 | 5 | |
| New trademarks applied, including newly registered 'Panda Forwarding Call' and 'Panda Robot' | trademarks | 36 | 8 |
| Patents applied | 101 | 5 | |
| Patents applied in 2018 | patents | 101 | 8 |
| Patents in area of Intelligent Manufacturing and smart city | patents | 82 | 8 |
| Patents licensed in 2018 | patents | 87 | 8 |
| Technological investment | million RMB | 236 | 5 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Annual production cost reduction for ST181-26512 radiator frame after improvement | RMB | 320000 | 16 |
| Annual production site area for ST181-26512 radiator frame after improvement | m² | 15 | 16 |
| Annual production site area for ST181-26512 radiator frame before improvement | m² | 24 | 16 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of state-level technical expert workshops | 1 | 22 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total voluntary services | hours | 720 | 5 |
| Voluntary services | person-times | 350 | 5 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | ton | 0.01155 | 0.00784 |
| NOâ‚“ Emissions | ton | 0.15687 | 0.06972 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 1123.13 | 439 |
| Indirect Energy Emissions (Scope 2) | ton | 15682.49 | 12880.76 |
| Total GHG Emissions | ton | 16805.62 | 13319.76 |
| Total GHG Emissions Intensity (By Revenue) | tons/RMB 10000 | 0.03 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Hazardous Electronic Waste | kg | 27 | 21 | 212.4 |
| Hazardous Waste (Electronic and IT Equipment) | kg | 27 | 21 | 212.4 |
| Hazardous Waste (Used Batteries) | kg | 27 | 21 | 212.4 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Non-Hazardous Waste (Kitchen Waste) | ton | 0.87 | 3.6 | 3.46 |
| Paper Waste | ton | 2.02 | 2.65 | 1.713 |
| Plastic Waste | ton | 0.0079 | 0.0039 | 0.052 |
| Total Non-Hazardous Waste Disposed | ton | 7.76 |
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 | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Revenue) | tons of standard coal/RMB 10000 | 0.0049 | ||
| Gasoline Consumption | ton | 232.84 | 227.836 | 146.855 |
| Natural Gas Consumption | ton | 19.5 | ||
| Purchased Electricity | MWh | 17775.8 | 19934.6 | 15927.7 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Total Wastewater Discharge | ton | 163071 | 162409 | 195500 |
| Water Consumption | ton | 181190 | 181054 | 217420 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Packaging Material Consumption (Metal) | ton | 10.5 | 11 | 11.1 |
| Packaging Material Consumption (Paper) | ton | 482 | 600 | 592 |
| Packaging Material Consumption (Plastic) | ton | 135.2 | 183 | 168.8 |
| Packaging Materials Consumed | ton | 627.7 | 794 | 771.9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Employees Aged 30-50 | person | 194 |
| Number of Employees Aged Above 50 | person | 37 |
| Number of Employees Aged Below 30 | person | 93 |
| Number of Female Employees | person | 237 |
| Number of Male Employees | person | 87 |
| Number of Middle Management Employees | person | 11 |
| Number of Senior Management Employees | person | 2 |
| Number of Total Employees | person | 3507 |
| Percentage of Female Employees | % | 33.7 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours (Female) | hour | 14.7 |
| Average Training Hours (Male) | hour | 14.73 |
| Average Training Hours (Middle Management) | hour | 19.06 |
| Average Training Hours (Senior Management) | hour | 80 |
| Average Training Hours per Employee | hour | 14.72 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Total Suppliers | 2267 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Satisfaction Rate of Customer Complaint Handling | % | 98 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Intellectual Property Disputes | cases | 21 |
| Number of Invention Patents | patents | 18 |
| Number of New Patent Applications | patents | 101 |
| Number of Patents Applied | patents | 101 |
| Number of Patents Granted | patents | 18 |
| Number of Trademark Applications | trademarks | 36 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Participations in Volunteer Activities | person-times | 350 |
| Total Volunteer Service Hours | hours | 720 |