2018 SOCIAL RESPONSIBILITY REPORT OF COMEC
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Ammonia nitrogen emission | ton | 6.58 | 2.583 | 3.45 | 18 |
| Ammonia nitrogen emission (ton) | ton | 3.45 | 25 | ||
| COD emission | ton | 33.46 | 23.35 | 41.08 | 18 |
| COD emission (ton) | ton | 41.08 | 25 | ||
| Segmental coating - Particulates emission (GSI) | mg/m³ | 4.62 | 17 | ||
| Segmental coating - Particulates emission (Hangpu Wenchong) | mg/m³ | 0.22 | 17 | ||
| Segmental coating - Toluene emission (GSI) | mg/m³ | 1.18 | 17 | ||
| Segmental coating - Toluene emission (Hangpu Wenchong) | mg/m³ | 0.03 | 17 | ||
| Segmental coating - Xylene emission (GSI) | mg/m³ | 0.57 | 17 | ||
| Segmental coating - Xylene emission (Hangpu Wenchong) | mg/m³ | 0.08 | 17 | ||
| Steel plate pre-treatment line - Particulates emission (GSI) | mg/m³ | 5.08 | 17 | ||
| Steel plate pre-treatment line - Particulates emission (Hangpu Wenchong) | mg/m³ | 0.15 | 17 | ||
| Steel plate pre-treatment line - Toluene emission (GSI) | mg/m³ | 0.07 | 17 | ||
| Steel plate pre-treatment line - Toluene emission (Hangpu Wenchong) | mg/m³ | 0.01 | 17 | ||
| Steel plate pre-treatment line - Xylene emission (GSI) | mg/m³ | 0.08 | 17 | ||
| Steel plate pre-treatment line - Xylene emission (Hangpu Wenchong) | mg/m³ | 0.02 | 17 | ||
| Total exhaust emission | thousand standard cubic meters | 187409 | 17 | ||
| Total exhaust emission (10000 standard cubic meters) | 10000 standard cubic meters | 187049 | 25 |
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 | Report Pages |
|---|---|---|---|
| Carbon dioxide emission (ton) | ton | 168786 | 25 |
| Category 1 carbon dioxide equivalent emissions (total) | ton | 77683.33 | 17 |
| Category 1 carbon dioxide equivalent emissions - Diesel | ton | 982.39 | 17 |
| Category 1 carbon dioxide equivalent emissions - Gasoline | ton | 13747.82 | 17 |
| Category 1 carbon dioxide equivalent emissions - Heavy oil | ton | 53080.37 | 17 |
| Category 1 carbon dioxide equivalent emissions - Natural gas | ton | 9962.72 | 17 |
| Category 2 carbon dioxide equivalent emissions (total) | ton | 91033.16 | 17 |
| Category 2 carbon dioxide equivalent emissions - Domestic electricity consumption | ton | 2068.36 | 17 |
| Category 2 carbon dioxide equivalent emissions - Office electricity consumption | ton | 2814.73 | 17 |
| Category 2 carbon dioxide equivalent emissions - Production electricity consumption | ton | 86150.07 | 17 |
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 |
|---|---|---|---|---|---|
| Hazardous waste generation (tons) | 344.23 | 334 | 377.25 | 18 | |
| Liquid waste generated (ton) | ton | 1593.23 | 25 | ||
| Liquid waste generation (tons) | 702.4 | 402.884 | 1593.23 | 18 | |
| Solid waste generated (ton) | ton | 3945 | 25 | ||
| Solid waste generation (tons) | 503 | 368.978 | 189.36 | 18 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste recycling (tons) | 457.98 | 377.25 | 201.48 | 18 | |
| Liquid waste recycling (tons) | 496.95 | 54 | 201.48 | 18 | |
| Solid waste recycling (tons) | 172 | 110.65 | 127.87 | 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 | Report Pages |
|---|---|---|---|
| Comprehensive energy consumption per RMB10000 of output value (ton of standard coal/RMB10000) | ton of standard coal/RMB10000 | 0.0409 | 25 |
| Electricity consumption | ten thousand kWh | 29637 | 17 |
| Electricity consumption per RMB10000 of output value (kWh/RMB10000) | kWh/RMB10000 | 18.181 | 25 |
| Fuel consumption | ton | 18976.84 | 17 |
| Natural gas consumption | ten thousand square meters | 303.4 | 17 |
| Total energy consumption | tons of standard coal | 68002.45 | 17 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Wastewater discharge per 10000 DWT (ton/10000 DWT) | ton/10000 DWT | 6245.44 | 25 |
| Water consumption per 10000 DWT shipbuilding (tons/10000 DWT) | tons/10000 DWT | 9118.49 | 25 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of energy conservation technological achievements during the year | 7 | 17 | |
| Number of energy conservation technological transformation projects | 8 | 17 | |
| Number of energy technological achievements | 7 | 25 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Employees participating in environmental protection training (person-times) | person-times | 11097 | 25 |
| Environmental protection expenses (RMB ten thousand) | RMB ten thousand | 5412.15 | 25 |
| systems were amended | 16 | 14 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of employees | 15588 | 25 | |
| Number of employees aged 30 or below | persons | 7617 | 20 |
| Number of employees aged 31 to 50 | persons | 7589 | 20 |
| Number of employees aged 51 or above | persons | 652 | 20 |
| Number of employees with associate degree | persons | 2759 | 20 |
| Number of employees with bachelor's degree | persons | 4323 | 20 |
| Number of employees with master's degree or above | persons | 308 | 20 |
| Number of employees with senior school or below education | persons | 8468 | 20 |
| Number of female employees | persons | 2232 | 20 |
| Number of high-level employees | persons | 22 | 20 |
| Number of hours of paid leave for each employee | days | 10 | 20 |
| Number of low-level employees | persons | 821 | 20 |
| Number of male employees | persons | 13626 | 20 |
| Number of middle-level employees | persons | 255 | 20 |
| Number of ordinary employees | persons | 14760 | 20 |
| Paid-leave days for each employee (day) | day | 10.4 | 25 |
| Percentage of female employees | % | 14.07 | 20 |
| Percentage of female employees (%) | % | 14.07 | 25 |
| Percentage of research and development personnel to total employees (%) | % | 14.63 | 25 |
| Postgraduate degree or above growth rate | % | 12.4 | 20 |
| Research and development team size | members | 2120 | 12 |
| Staff labour contract signing rate | 100% | 20 | |
| Staff social insurance coverage rate | 100% | 20 | |
| Staff social insurance coverage rate / Staff health file coverage rate (%) | % | 100 | 25 |
| Total compensation money provided to employees with financial difficulties (RMB ten thousand) | RMB ten thousand | 160 | 25 |
| Total number of employees | persons | 15858 | 20 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate | % | 10.88 | 20 | ||
| Employee turnover rate (%) | % | 10.88 | 25 | ||
| Number of employees turnover aged 30 or below | persons | 1342 | 20 | ||
| Number of employees turnover aged 31 to 50 | persons | 467 | 20 | ||
| Number of employees turnover aged 51 or above | persons | 2 | 20 | ||
| Number of employees turnover with associate degree | persons | 253 | 20 | ||
| Number of employees turnover with bachelor's degree | persons | 405 | 20 | ||
| Number of employees turnover with master's degree or above | persons | 39 | 20 | ||
| Number of employees turnover with senior school or below education | persons | 1013 | 20 | ||
| Number of female employees turnover | persons | 134 | 20 | ||
| Number of high-level employees turnover | persons | 1 | 20 | ||
| Number of low-level employees turnover | persons | 19 | 20 | ||
| Number of male employees turnover | persons | 1577 | 20 | ||
| Number of middle-level employees turnover | persons | 19 | 20 | ||
| Number of ordinary employees turnover | persons | 1600 | 20 | ||
| Operating income (RMB100 million) | RMB100 million | 223.9 | 253.3 | 241.2 | 9, 25 |
| Operating profit (RMB100 million) | RMB100 million | 13.9 | 11.9 | 2.55 | 9, 25 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Fatalities | Number | 1 | 11 | ||
| Minor injury accidents | Number | 45 | 34 | 22 | 11 |
| Serious injury accidents | Number | 1 | 11 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Safety education and training (person-times) | person-times | 46738 | 25 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Increase in persons participating in quality management and control training | 370% | 10 | |
| Number of excellent quality management and control teams in Guangdong province | 7 | 10 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of hours of training provided to each employee (hour) | hour | 11.8 | 25 | ||
| Number of persons participating in quality management and control training | 8719 | 10 | |||
| Research and development expense | RMB100 million | 6.57 | 6.37 | 6.66 | 12 |
| Research and development expense (RMB100 million) | RMB100 million | 6.66 | 25 | ||
| Research and development expense as a percentage of operating income | % | 2.81 | 2.86 | 3.47 | 12 |
| Total number of hours of training provided to employees (10000 hours) | 10000 hours | 18.72 | 25 |
Number of suppliers by geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Equity attributable to owners of the Company (RMB100 million) | RMB100 million | 914.5 | 1014.5 | 972.7 | 9 |
| Open tender procurement rate (%) | % | 16.72 | 25 | ||
| Total number of suppliers | 3271 | 25 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Business order (RMB) | RMB | 1787 | 2544 | 4044.6 | 9 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Application for and grant of invention patents - Patent application | unit/number | 205 | 300 | 369 | 13 |
| Application for and grant of invention patents - Patent granted | unit/number | 53 | 110 | 94 | 13 |
| Application for and grant of utility model patents - Patent application | unit/number | 182 | 288 | 295 | 13 |
| Application for and grant of utility model patents - Patent granted | unit/number | 87 | 131 | 90 | 13 |
| Invention patents obtained during the year | 94 | 13 | |||
| Number of patents owned by the Company | 389 | 25 | |||
| Utility model patents obtained during the year | 295 | 13 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| First pass rate of process (%) | % | 96.91 | 25 |
| Product quality assurance expenses (RMB ten thousand) | RMB ten thousand | 19043 | 25 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| effective internal control systems were established | 17 | 14 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Achieve the Science and Technology Achievement Award throughout the year | 20 | 13 | |
| Number of national quality trustworthy teams | 4 | 10 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total charitable donations (RMB ten thousand) | RMB ten thousand | 54 | 25 |
| Value of social contribution per share (RMB) | RMB | 0.4446 | 25 |
| Volunteer service (person-times) | person-times | 2200 | 25 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | mg/m³ | 10.25 |
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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 77683.33 |
| GHG Emissions from Natural Gas | ton | 9962.72 |
| GHG Emissions from Purchased Electricity | ton | 91033.16 |
| Indirect Energy Emissions (Scope 2) | ton | 91033.16 |
| Total GHG Emissions | ton | 168786 |
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 |
|---|---|---|---|---|
| Total Hazardous Waste | tons | 344.23 | 334 | 377.25 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | -17.62 | -46.56 |
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 |
|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | ton of standard coal/RMB10000 | 0.0409 |
| Natural Gas Consumption | cubic meters | 3034000 |
| Purchased Electricity | kWh | 296370000 |
| Total Electricity Consumption Intensity (By Revenue) | kWh/RMB10000 | 18.181 |
| Total Energy Consumption | tons of standard coal | 68002.45 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Recycled Water Percentage | % | 13.45 |
| Recycled Water Usage | tons | 374800 |
| Total Wastewater Discharge | tons | 1270700 |
| Wastewater Discharge Intensity | tons/10000 DWT | 6245.44 |
| Water Consumption | tons | 2786500 |
| Water Consumption Intensity (By Revenue) | tons/10000 DWT | 9118.49 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Investment in Ecological Restoration | RMB | 54121500 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Bachelor's Degree Employees | persons | 4323 |
| Number of Below Junior College Employees | persons | 8468 |
| Number of Employees Aged 30-50 | persons | 7589 |
| Number of Employees Aged Above 50 | persons | 652 |
| Number of Employees Aged Below 30 | persons | 7617 |
| Number of Female Employees | persons | 2232 |
| Number of General Employees | persons | 14760 |
| Number of Male Employees | persons | 13626 |
| Number of Master's Degree Employees | persons | 308 |
| Number of Middle Management Employees | persons | 255 |
| Number of Senior Management Employees | persons | 22 |
| Number of Total Employees | persons | 15858 |
| Percentage of Female Employees | % | 14.07 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Turnover Rate of Bachelor's Degree Employees | % | None |
| Turnover Rate of Below Junior College Employees | % | None |
| Turnover Rate of Employees Aged 30-50 | % | None |
| Turnover Rate of Employees Aged Above 50 | % | None |
| Turnover Rate of Employees Aged Below 30 | % | None |
| Turnover Rate of Female Employees | % | None |
| Turnover Rate of General Employees | % | None |
| Turnover Rate of Male Employees | % | None |
| Turnover Rate of Master's Degree Employees | % | None |
| Turnover Rate of Middle Management Employees | % | None |
| Turnover Rate of Senior Management Employees | % | None |
| Turnover Rate of Total Employees | % | 10.88 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | Number | 1 | ||
| Number of Fatalities of the Last 3 Years | Number | 1 | 1 | 1 |
| Number of Work-related Fatalities | Number | 1 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Health Check Coverage for Employees | % | 100 |
| Number of People Receiving Training on Work Safety | person-times | 46738 |
| Number of Production Safety Emergency Drills | 37 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Trained | % |
| Percentage of Trained General Employees | % |
| Percentage of Trained Senior Management | % |
| Percentage of Trained Technical Employees | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours (Senior Management) | hours | |
| Average Training Hours (Technical Employees) | hours | |
| Average Training Hours per Employee | hour | 11.8 |
| Total Training Hours | hours | 187200 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Total Suppliers | 3271 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Authorised Utility Model Patents | unit/number | 295 | ||
| Number of Invention Patents | unit/number | 94 | ||
| Number of Patents Applied | unit/number | 387 | 588 | 664 |
| Number of Patents Granted | unit/number | 140 | 241 | 184 |
| Number of Patents Held | unit/number | 389 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Participations in Volunteer Activities | person-times | 2200 |
| Total Public Welfare Donations | RMB | 540000 |