2019 SOCIAL RESPONSIBILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Chemical oxygen demand | ton | 3.45 | 10.83 | 19.63 | 43 |
Emission of nitrogen oxides | ton | 13.4 | 12.35 | 28.51 | 43 |
Emission of particulate matters | ton | 0.413 | 0.418 | 0.004 | 43 |
Emission of sulfur oxides | ton | 0.052 | 0.07 | 0.119 | 43 |
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 | 2019 | Report Pages |
---|---|---|---|---|---|
CO2 emission | ton | 17439 | 15747 | 26382 | 43 |
CO2 emission density | ton/RMB 100 million | 184.42 | 157.99 | 262.22 | 43 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Electronic wastes such as batteries | kg | 113.08 | 44 |
Oil-stained gloves | pair | 5472 | 44 |
Waste cartridges | piece | 588 | 44 |
Waste chemical materials and their packages and containers | piece | 36 | 44 |
Waste containers for paint and oil | piece | 121 | 44 |
Waste fluorescent lamps | kg | 155.04 | 44 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Kitchen wastes | ton | 1404.74 | 44 |
Metal | ton | 0.82 | 44 |
Plastic | ton | 0.93 | 44 |
Waste ink cartridges (including waste power) | piece | 284 | 44 |
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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Density of direct energy consumption | Metric tons of standard coal equivalent/ RMB '00 million | 7.68 | 7 | ||
Density of direct energy consumption (ton of coal equivalent / RMB billion) | ton of coal equivalent / RMB billion | 1.086 | 0.575 | 0.768 | 42 |
Density of indirect energy consumption (ton of coal equivalent / RMB billion) | ton of coal equivalent / RMB billion | 2.448 | 2.22 | 3.725 | 42 |
Direct energy consumption - Diesel oil | L | 435615 | 443092 | 42 | |
Direct energy consumption - Gasoline | L | 344410 | 288296 | 108489 | 42 |
Direct energy consumption - Liquefied petroleum gas | kg | 42973 | 124293 | 66794 | 42 |
Direct energy consumption - Natural gas | m³ | 39719 | 39869 | 208080 | 42 |
Indirect energy consumption - Electricity consumption | kWh | 18833.937 | 18099.389 | 30493.693 | 42 |
Total direct energy consumption (ton of coal equivalent) | ton of coal equivalent | 1027 | 573 | 773 | 42 |
Total indirect energy consumption (ton of coal equivalent) | ton of coal equivalent | 2315 | 2213 | 3748 | 42 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Emission of waste water | ton | 99770 | 482460 | 959147 | 43 |
Water consumption | ton | 535614 | 442791 | 1056175 | 42 |
Water consumption density (ton / RMB billion) | ton / RMB billion | 566428 | 444257 | 1049771 | 42 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Paper | ton | 8.37 | 44 | ||
Total amount of packaging materials used for finished products | Not applicable | Not applicable | Not applicable | 42 | |
Wooden products | ton | 1.68 | 44 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of hindrance clearance spots along the expressway | 12 | 13 | 13 | 37 | |
Pavement Quality Index (PQI) | Score | 93.23 | 94.04 | 95.8 | 7, 24 |
Proportion of grade 1 and grade 2 bridges | % | 100 | 100 | 100 | 24 |
Rate of restoring smooth traffic within 1 hour | % | 98 | 98.8 | 98.9 | 37 |
Total times of hindrance clearance throughout the year | 19989 | 22316 | 20618 | 37 | |
Total tolls exempted for green channels | RMB 10000 | 10496 | 12385 | 13343 | 49 |
Total tolls exempted for major holidays and festivals | RMB 10000 | 27074 | 27581 | 30554 | 49 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Labor contract signing rate | 100% | 52 | |
Number of employees | employees | 3283 | 51 |
Return on investment | RMB/share | 0.84 | 7 |
Social insurance coverage | 100% | 52 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of employees transferred to new posts | employees | 21 | 53 |
Turnover rate of employees between 31 and 40 years old | % | 0.5 | 52 |
Turnover rate of employees between 41 and 50 years old | % | 1 | 52 |
Turnover rate of employees from Changzhou | % | 3.38 | 52 |
Turnover rate of employees from Nanjing | % | 4.39 | 52 |
Turnover rate of employees from Suzhou | % | 5.02 | 52 |
Turnover rate of employees from Wuxi | % | 4.46 | 52 |
Turnover rate of employees from Zhenjiang | % | 3.15 | 52 |
Turnover rate of employees over 51 years old | % | 0.51 | 52 |
Turnover rate of employees under 30 years old | % | 7.5 | 52 |
Turnover rate of female employees | % | 1.1 | 52 |
Turnover rate of local employees | % | 0.2 | 52 |
Turnover rate of male employees | % | 2 | 52 |
Turnover rate of non-local employees | % | 4 | 52 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Work-related fatalities | 1 | 28 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Lost days due to work-related injuries (days) | days | 3329 | 3300 | 1285 | 28 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
The arrival for road network hindrance clearance within 20 minutes | % | 98.3 | 7 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Employee satisfaction | Score | 92.3 | 7 | ||
Employee satisfaction rate | 74.07 | 74.21 | 92.3 | 52 | |
Employee training coverage | 100% | 53 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Average training hours for female employees | hours | 20 | 53 |
Average training hours for grassroots employees | hours | 19 | 53 |
Average training hours for male employees | hours | 18 | 53 |
Average training hours for mid-level employees | hours | 65 | 53 |
Average training hours for senior employees | hours | 130 | 53 |
Average training hours per employee | hours | 19 | 53 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Average time for hindrance clearance | minutes | 25.5 | 24.2 | 25.5 | 37 |
Business revenue | RMB '00 million | 100.61 | 7 | ||
Customer complaints handling rate | 100% | 50 | |||
Number of customer complaints | 161 | 405 | 425 | 50 | |
Number of face-to-face investors' meetings organized | meetings | >20 | 10 | ||
Number of investors' meetings held | meetings | >50 | 10 | ||
Number of overseas roadshows organized | 2 | 10 | |||
Number of teleconferences held | teleconferences | >20 | 10 | ||
Rate of arrival within 20 minute for hindrance clearance | % | 97.1 | 97.6 | 98.3 | 37 |
Rate of arrival within 30 minute for hindrance clearance | % | 99.4 | 99.4 | 99.7 | 37 |
Satisfaction towards hindrance clearance | % | 100% | 7 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Road excellence rate | % | 100 | 100 | 100 | 24 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Internal and external legal review coverage of major contracts, decisions, and regulations | 100% | 10 | |
Number of integrity risk points investigated and rectified | risk points | 886 | 11 |
Number of positions investigated for integrity risk | positions | 187 | 11 |
Number of public announcements issued | 54 | 10 | |
Number of tier-1 integrity risk points | risk points | 68 | 11 |
Number of tier-2 integrity risk points | risk points | 517 | 11 |
Number of tier-3 integrity risk points | risk points | 301 | 11 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of anti-corruption and work ethics trainings organized | trainings | 4 | 11 |
Number of participants in anti-corruption and work ethics trainings | participants | 800 | 11 |
Number of strategic meetings held | meetings | >10 | 10 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Donation to Red Cross Society of Jiangsu Province for poverty alleviation | RMB | 50000 | 57 |
Number of Party members covered by Party building activities | Party members | 565 | 11 |
Number of people helped to relieve poverty in key areas | 1575 | 57 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Funds for scientific research and innovation | RMB 10000 | 346.7 | 923.5 | 147.5 | 24 |
Funds raised in 'Targeted Poverty Alleviation - One Day Donation' activity | RMB | 52411 | 57 | ||
Investment in pavement maintenance | RMB 10000 | 11763 | 17344 | 24619 | 24 |
Numbers of staff volunteers in volunteer activities | 220 | 515 | 568 | 57 | |
Service hours of staff volunteers | hours | 702 | 876 | 825 | 57 |
Targeted poverty alleviation investment | RMB | 400000 | 57 | ||
Total donation by volunteers | RMB | 302400 | 57 | ||
Total hours of Party building activities | hours | 220 | 11 | ||
Total number of volunteers | 1201 | 57 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | ton | 0.413 | 0.418 | 0.004 |
NOₓ Emissions | ton | 13.4 | 12.35 | 28.51 |
SOₓ Emissions | ton | 0.052 | 0.07 | 0.119 |
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 | 2019 |
---|---|---|---|---|
Total GHG Emissions | ton | 17439 | 15747 | 26382 |
Total GHG Emissions Intensity (By Revenue) | ton/RMB 100 million | 184.42 | 157.99 | 262.22 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 |
---|---|---|
Hazardous Electronic Waste | kg | 113.08 |
Hazardous Waste (Electronic and IT Equipment) | kg | 113.08 |
Hazardous Waste (Used Batteries) | kg | 113.08 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 |
---|---|---|
Non-Hazardous Waste (Kitchen Waste) | ton | 1404.74 |
Plastic Waste | ton | 0.93 |
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 | 2017 | 2018 | 2019 |
---|---|---|---|---|
Diesel Fuel Consumption | L | 435615 | 443092 | |
Direct Energy Intensity (By Revenue) | ton of coal equivalent / RMB billion | 1.086 | 0.575 | 0.768 |
Gasoline Consumption | L | 344410 | 288296 | 108489 |
Indirect Energy Intensity (By Revenue) | ton of coal equivalent / RMB billion | 2.448 | 2.22 | 3.725 |
LPG Consumption | kg | 42973 | 124293 | 66794 |
Natural Gas Consumption | m³ | 39719 | 39869 | 208080 |
Purchased Electricity | kWh | 18833.937 | 18099.389 | 30493.693 |
Total Direct Energy Consumption | ton of coal equivalent | 1027 | 573 | 773 |
Total Indirect Energy Consumption | ton of coal equivalent | 2315 | 2213 | 3748 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Total Wastewater Discharge | ton | 99770 | 482460 | 959147 |
Water Consumption | ton | 535614 | 442791 | 1056175 |
Water Consumption Intensity (By Revenue) | ton / RMB billion | 566428 | 444257 | 1049771 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2019 |
---|---|---|
Packaging Material Consumption (Paper) | ton | 8.37 |
Usage of Packaging Materials (Wood) | ton | 1.68 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Employees Aged 30-50 | employees | 1051 |
Number of Employees Aged Above 50 | employees | 1149 |
Number of Employees Aged Below 30 | employees | 361 |
Number of Female Employees | employees | 1937 |
Number of Male Employees | employees | 1346 |
Number of Total Employees | employees | 3283 |
Percentage of Contractors | % | 100 |
Percentage of Employees Aged 30-50 | % | 32 |
Percentage of Employees Aged Above 50 | % | 35 |
Percentage of Employees Aged Below 30 | % | 11 |
Percentage of Female Employees | % | 59 |
Percentage of Male Employees | % | 41 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 1.5 |
Turnover Rate of Employees Aged Above 50 | % | 0.51 |
Turnover Rate of Employees Aged Below 30 | % | 7.5 |
Turnover Rate of Female Employees | % | 1.1 |
Turnover Rate of Male Employees | % | 2 |
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 Work-related Fatalities | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 3329 | 3300 | 1285 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 |
---|---|---|
Average Training Hours (Female) | hours | 20 |
Average Training Hours (General Staff) | hours | 19 |
Average Training Hours (Male) | hours | 18 |
Average Training Hours (Middle Management) | hours | 65 |
Average Training Hours (Senior Management) | hours | 130 |
Average Training Hours per Employee | hours | 19 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Complaints Handling Rate | % | 100 | ||
Total Number of Customer Complaints | 161 | 405 | 425 |
Description of quality assurance process and recall procedures.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 100 | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Anti-corruption Training Session | trainings | 4 |
Number of People Participated in Ethical Standards and Anti-corruption Training | participants | 800 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Investment in Targeted Poverty Alleviation | RMB | 400000 | ||
Number of Employees Participating in Volunteer Activities | 220 | 515 | 568 | |
Number of Registered Volunteers | 1201 | |||
Total Public Welfare Donations | RMB | 302400 | ||
Total Volunteer Service Hours | hours | 702 | 876 | 825 |