2017 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Ammonia nitrogen emissions | tonnes | 19 | 18.7 | 5 |
| COD emissions | 10 tonnes | 22 | 21.4 | 5 |
| Nitrogen oxides emissions | tonnes | 21 | 20.4 | 5 |
| Pollutant emission compliance rate | 100% | 5 |
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 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| CO2 emissions | 10000 tonnes | 30 | 27.5 | 5 |
| CO2 emissions per ten thousand Yuan output value | tonnes | 0.14 | 5 | |
| SO2 emissions | tonnes | 21 | 20.8 | 5 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Aggregate amount of hazardous wastes produced by the Group | tonnes | 1755 | 6 |
| Disposal rate of hazardous wastes | 100% | 6 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Total non-hazardous waste generated by the Group | tonnes | 3063 | 27262 | 6 |
| Treatment rate of non-hazardous waste | 100% | 6 | ||
| Utilization rate of major raw materials | 80% | 6 |
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 | Report Pages |
|---|---|---|---|---|
| Aggregate amount of energy consumption | tonnes of standard coal | 65109 | 7 | |
| Aggregate consumption per ten thousand Yuan output value | tons of standard coal | 0.03 | 7 | |
| Electricity consumption | hundred million kWh/hours | 1.5 | 1.32 | 7 |
| Natural gas consumption | hundred million m³ | 0.21 | 0.18 | 7 |
| Petroleum consumption | thousand tonnes | 0.57 | 0.5 | 7 |
| Raw coal consumption | ten thousand tonnes | 0.5 | 0.47 | 7 |
| Total energy consumption | hundred thousand tonnes of standard coal | 0.72 | 0.65 | 7 |
| Total energy consumption (standard coal) | tonnes | 65109 | 6 | |
| Year-on-year decrease in aggregate consumption per ten thousand Yuan output value | % | -13.29 | 7 | |
| Year-on-year decrease in energy consumption | -8.5% | 6 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Amount of new water for industrial use | tonnes | 676260 | 7 | |
| New water for industrial use | million tonnes | 0.72 | 0.68 | 7 |
| Water consumed per ten thousand Yuan output value | m³ | 0.34 | 7 | |
| Year-on-year decrease in new water for industrial use | % | -6.5 | 7 | |
| Year-on-year decrease in water consumed per ten thousand Yuan output value | % | -10.39 | 7 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Total energy-saving and emission reduction projects expenditure | million RMB | 13.558 | 5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of auxiliary production personnel | 2974 | 8 | |
| Number of auxiliary production personnel aged 50–60 | 3855 | 8 | |
| Number of auxiliary production personnel with technical college degree | 3171 | 8 | |
| Number of employees aged 30–40 | 5169 | 8 | |
| Number of employees aged 40–50 | 4329 | 8 | |
| Number of employees aged 50–55 | 2588 | 8 | |
| Number of employees aged over 55 | 1267 | 8 | |
| Number of employees aged under 30 | 2106 | 8 | |
| Number of employees with doctorate and postdoctoral degree | employees | 53 | 9 |
| Number of employees with postgraduate degree | employees | 1501 | 9 |
| Number of employees with undergraduate degree | employees | 5166 | 9 |
| Number of enterprise management personnel | 3931 | 8 | |
| Number of enterprise management personnel below age 30 | 2106 | 8 | |
| Number of enterprise management personnel in Heilongjiang province | 14609 | 8 | |
| Number of enterprise management personnel who are male | 12632 | 8 | |
| Number of enterprise management personnel with Doctor degree | 53 | 8 | |
| Number of female employees | 2830 | 8 | |
| Number of front-line production personnel | 4652 | 8 | |
| Number of front-line production personnel aged 40–50 | 4329 | 8 | |
| Number of front-line production personnel with undergraduate degree | 5166 | 8 | |
| Number of highly skilled experts | employees | 41 | 9 |
| Number of senior employees | employees | 2267 | 9 |
| Number of senior technicians | employees | 284 | 9 |
| Number of senior workers | employees | 2882 | 9 |
| Number of skilled workers at frontier | employees | 4063 | 9 |
| Number of technical personnel | 3902 | 8 | |
| Number of technical personnel aged 30–40 | 5169 | 8 | |
| Number of technical personnel in other regions of the country | 850 | 8 | |
| Number of technical personnel who are female | 2827 | 8 | |
| Number of technical personnel with Master degree | 1501 | 8 | |
| Number of technicians | employees | 897 | 9 |
| Percentage of employees aged 30–40 | 33.4% | 8 | |
| Percentage of employees aged 40–50 | 28.1% | 8 | |
| Percentage of employees aged 50–55 | 16.7% | 8 | |
| Percentage of employees aged over 55 | 8.2% | 8 | |
| Percentage of employees aged under 30 | 13.6% | 8 | |
| Percentage of female employees | 18.3% | 8 | |
| Staff structure by age: 30–40 | percent | 33% | 9 |
| Staff structure by age: 40–50 | percent | 28% | 9 |
| Staff structure by age: 50–60 | percent | 25% | 9 |
| Staff structure by age: Under 30 | percent | 14% | 9 |
| Staff structure by education: Doctor | percent | 0.3% | 9 |
| Staff structure by education: Master | percent | 10% | 9 |
| Staff structure by education: Other | percent | 36% | 9 |
| Staff structure by education: Technical college | percent | 21% | 9 |
| Staff structure by education: Undergraduate | percent | 33% | 9 |
| Staff structure by profession: Auxiliary production personnel | percent | 19% | 9 |
| Staff structure by profession: Enterprise management personnel | percent | 26% | 9 |
| Staff structure by profession: Front-line production personnel | percent | 30% | 9 |
| Staff structure by profession: Technical personnel | percent | 25% | 9 |
| Total number of employees | employees | 15459 | 8, 9 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Annual turnover rate of the Group | percent | 1.3 | 10 |
| Staff turnover - Age 30-45 | 49 | 10 | |
| Staff turnover - Age 45-60 | 49 | 10 | |
| Staff turnover - Female | 26 | 10 | |
| Staff turnover - Heilongjiang province | 151 | 10 | |
| Staff turnover - Male | 176 | 10 | |
| Staff turnover - Other regions of the country | 51 | 10 | |
| Staff turnover - Under 30 years old | 104 | 10 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of deaths in safe production | 1 | 12 | |
| Number of employees suffering from slight injuries | 25 | 12 | |
| Number of fatal incidents in safe production | 1 | 12 | |
| Number of slight injury incidents | 25 | 12 | |
| Rate of work injury involving a thousand workers | 1.35% | 12 |
Lost days due to work injury.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Year-on-year change in slight injury incidents | -29% | 12 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Investment in safety improvement | million RMB | 32.3346 | 12 |
| Number of emergency drills held | 113 | 12 | |
| Number of potential safety hazards inspected | 2590 | 12 | |
| Rectification rate of potential safety hazards | 99.73% | 12 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of emergency drill attendances | 4574 | 12 | |
| Number of national technical experts | employees | 18 | 9 |
| Participants of safe production training | 27000 | 12 | |
| Percentage of female staff trained | 95% | 12 | |
| Percentage of general staff trained | 92% | 12 | |
| Percentage of male staff trained | 97% | 12 | |
| Percentage of mid-level management trained | 100% | 12 | |
| Percentage of senior management trained | 100% | 12 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Average training hours for female staff | hours | 40 | 12 |
| Average training hours for general staff | hours | 38 | 12 |
| Average training hours for male staff | hours | 42 | 12 |
| Average training hours for mid-level management | hours | 90 | 12 |
| Average training hours for senior management | hours | 120 | 12 |
| Number of persons trained | 76943 | 12 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of qualified suppliers | 3907 | 14 | |
| Number of suppliers in Heilongjiang Province | 1030 | 14 | |
| Number of suppliers in other regions in Northeast China | 378 | 14 | |
| Number of suppliers in other regions of the country | 2252 | 14 | |
| Number of suppliers overseas | 247 | 14 | |
| Percentage of suppliers in Heilongjiang Province | % | 26 | 14 |
| Percentage of suppliers in other regions in Northeast China | % | 10 | 14 |
| Percentage of suppliers in other regions of the country | % | 58 | 14 |
| Percentage of suppliers overseas | % | 6 | 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 | 2017 | Report Pages |
|---|---|---|---|
| Number of supplier review meetings held | 543 | 14 | |
| Number of suppliers reviewed | 763 | 14 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of patents applied for by the Group | 545 | 15 | |
| Number of patents invented by the Group | 101 | 15 | |
| Number of patents obtained by the Group | 311 | 15 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2016 | 2017 |
|---|---|---|---|
| NOₓ Emissions | tonnes | 21 | 20.4 |
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 | 2016 | 2017 |
|---|---|---|---|
| Total GHG Emissions | tonnes | 300000 | 275000 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Disposal Rate of Hazardous Waste | % | 100 |
| Total Hazardous Waste | tonnes | 1755 |
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 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 3063 | 27262 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons |
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 |
|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | tons of standard coal | 0.03 | |
| Energy Consumption Intensity (By Revenue) | tons of standard coal | 0.03 | |
| Fossil Fuel Consumption | tonnes of standard coal | 72000 | 65109 |
| Natural Gas Consumption | hundred million m³ | 0.21 | 0.18 |
| Purchased Electricity | hundred million kWh/hours | 1.5 | 1.32 |
| Total Direct Energy Consumption | tonnes of standard coal | 65109 | |
| Total Energy Consumption | tonnes of standard coal | 72000 | 0.65 |
| Total Indirect Energy Consumption | hundred million kWh/hours | 1.5 | 1.32 |
| Total Non-Renewable Fuel Consumption | tonnes of standard coal | 65109 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 |
|---|---|---|---|
| Total Water Withdrawal | tonnes | 720000 | 680000 |
| Water Consumption Intensity (By Revenue) | m³ | 0.34 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 13.558 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Bachelor's Degree Employees | employees | 5166 |
| Number of Doctoral Degree Employees | employees | 53 |
| Number of Employees Aged 30-50 | employees | 4329 |
| Number of Employees Aged Above 50 | employees | 2588 |
| Number of Employees Aged Below 30 | employees | 2106 |
| Number of Female Employees | employees | 2830 |
| Number of Master's Degree Employees | employees | 1501 |
| Number of Total Employees | employees | 17519 |
| Percentage of Bachelor's Degree Employees | percent | 33 |
| Percentage of Doctoral Degree Employees | percent | 0.3 |
| Percentage of Employees Aged 30-50 | percent | 28.1 |
| Percentage of Employees Aged Above 50 | percent | 8.2 |
| Percentage of Employees Aged Below 30 | percent | 13.6 |
| Percentage of Female Employees | percent | 18.3 |
| Percentage of Master's Degree Employees | percent | 10 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Turnover Rate of Total Employees | percent | 1.3 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | 1 | |
| Number of Work-related Fatalities | 1 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Investment in Work Safety | million RMB | 32.3346 |
| Number of Production Safety Emergency Drills | 113 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Percentage of Employees Trained | % | 92 |
| Percentage of Trained Female Employees | % | 95 |
| Percentage of Trained General Employees | % | 92 |
| Percentage of Trained Male Employees | % | 97 |
| Percentage of Trained Middle Management | % | 100 |
| Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Average Training Hours (Female) | hours | 40 |
| Average Training Hours (General Staff) | hours | 38 |
| Average Training Hours (Male) | hours | 42 |
| Average Training Hours (Middle Management) | hours | 90 |
| Average Training Hours (Senior Management) | hours | 120 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Local Suppliers | 1030 | |
| Number of Suppliers in Northeast China | 378 | |
| Number of Suppliers in Overseas | 247 | |
| Number of Total Suppliers | 3907 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Invention Patents | 101 | |
| Number of Patents Applied | 545 | |
| Number of Patents Granted | 311 |