2024 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Deicing Agent | Tons | 3079 | 16 |
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 | 2024 | Report Pages |
---|---|---|---|
Direct Emissions (Scope 1) | Tons of CO2 Equivalent | 67936.86 | 17 |
Greenhouse Gas Emission Intensity | Tons of CO2 Equivalent / Ten Thousand RMB in Revenue | 0.12 | 17 |
Indirect Emissions (Scope 2) | Tons of CO2 Equivalent | 17802.83 | 17 |
Total Greenhouse Gas Emissions | Tons of CO2 Equivalent | 85739.69 | 17 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Discarded Batteries | Pieces | 2309 | 18 |
Discarded Ink Cartridges | Pieces | 609 | 18 |
Discarded Light Tubes | Pieces | 1125 | 18 |
Discarded Printers | Pieces | 1103 | 18 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Curing Agent (Bridge Maintenance) | Tons | 7.68 | 16 |
Hot Mix Asphalt | Tons | 84067.38 | 16 |
Household Waste | Tons | 1176.6 | 18 |
Kitchen Waste | Tons | 677 | 18 |
Paint | Tons | 15.64 | 16 |
Total Non-Hazardous Waste | Tons | 1853.6 | 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 | 2024 | Report Pages |
---|---|---|---|
Ink Cartridge Recycling Volume | Pieces | 276 | 18 |
Number of incidents resolved (illegal dumping, signage obstruction, etc.) | 20+ | 4 | |
Old guardrail materials reused in slope water damage repair project | kg | 9055.6 | 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 | 2022 | 2024 | Report Pages |
---|---|---|---|---|
Decrease in electricity consumption in company park compared to previous year | kWh | 1366000 | 15 | |
Diesel Usage | Liters | 186777.98 | 16 | |
Direct Energy Consumption | Tons of Standard Coal | 34520.76 | 16 | |
Electricity Consumption | kWh | 27671646.11 | 16 | |
Electricity consumption in company park | kWh | 6809511 | 15 | |
Electricity generated by solar power system annually | kWh | 586100 | 15 | |
Energy Consumption Density | Tons of Standard Coal / RMB 10000 Revenue | 0.05 | 16 | |
Gasoline Usage | Liters | 347429.9 | 16 | |
Indirect Energy Consumption | Tons of Standard Coal | 4094.64 | 16 | |
Installed capacity of solar power generation system | kW | 580.69 | 15 | |
Installed capacity of solar power systems | kW | 586.09 | 4 | |
Natural Gas | Cubic Meters | 30837747.42 | 16 | |
New Gravel (New Material) | Tons | 295.84 | 16 | |
Steam | Tons | 5395 | 16 | |
Total Energy Consumption | Tons of Standard Coal | 38615.4 | 16 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2024 | Report Pages |
---|---|---|---|---|
Decrease in water consumption compared to 2023 | 27000 | 4 | ||
Office water usage | tons | 109200 | 15 | |
Reduction in office water usage compared to previous year | tons | 27200 | 15 | |
Water Consumption | Tons | 386078 | 16 | |
Water Consumption Intensity | Tons / RMB 10000 Revenue | 0.54 | 16 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of wastewater treatment facilities constructed | 4 | 4 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Steel | Tons | 2016.98 | 16 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Acres of invasive Solidago canadensis cleared | acres | 350 | 4 |
Cement Concrete (New Material) | Tons | 35436.16 | 16 |
Investment in upgrading sewage facilities | million RMB | 5.53 | 4 |
Linear meters of noise barriers installed | linear meters | 16532 | 4 |
Number of connection sites constructed for sewage facilities | 2 | 4 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Collective bargaining agreement signing rate among employees | 100% | 4 | |
Employee union membership rate | 100% | 4, 21 | |
Number of Supervisory Board Meetings held | 7 | 4 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of Work-related Injuries (Incidents) | incidents | 5 | 12 | 12 | 26 |
Number of Workplace Fatalities (Persons) | persons | 1 | 26 | ||
Workplace fatality rate due to work-related accidents | 0.0615% | 26 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of Workdays Lost Due to Work-related Injuries (Days) | days | 323 | 315 | 662 | 26 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Employee health check coverage rate | 100% | 4 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Percentage of Employees Trained by Gender: Female | Percentage | 47.26 | 23 |
Percentage of Employees Trained by Gender: Male | Percentage | 52.74 | 23 |
Percentage of Employees Trained by Job Level: Directors, Supervisors, Senior Management | Percentage | 1.03 | 23 |
Percentage of Employees Trained by Job Level: General Employees | Percentage | 96.63 | 23 |
Percentage of Employees Trained by Job Level: Mid-Level Management | Percentage | 2.34 | 23 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Average Training Hours per Employee | Hours | 20.13 | 23 |
Average Training Hours per Employee: Directors, Supervisors, Senior Management | Hours | 37.94 | 23 |
Average Training Hours per Employee: Female | Hours | 19.95 | 23 |
Average Training Hours per Employee: General Employees | Hours | 19.57 | 23 |
Average Training Hours per Employee: Male | Hours | 20.3 | 23 |
Average Training Hours per Employee: Mid-Level Management | Hours | 40.43 | 23 |
Average training hours per employee | hours | 20.13 | 4 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of vehicle rescue operations daily after implementation of 'Beautiful Anhui Expressway Brain' system | vehicle rescue operations per day | 5 | 29 |
Toll exemptions granted | million RMB | 753 | 4 |
Vehicle rescue operation success rate after implementation of 'Beautiful Anhui Expressway Brain' system | 99.8% | 29 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of Board Meetings held | 10 | 4 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Kilometers of highways inspected | km | 7050 | 4 |
Number of Shareholders' General Meetings held | 2 | 4 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Investment in rural revitalization | RMB | 731300 | 4 |
Number of volunteer activities conducted by 'Beautiful Anhui Expressway' volunteer service team | 538 | 4 | |
Total hours of volunteer service contributed | hours | 70000 | 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 | 2024 |
---|---|---|
Direct GHG Emissions (Scope 1) | Tons of CO2 Equivalent | 67936.86 |
Indirect Energy Emissions (Scope 2) | Tons of CO2 Equivalent | 17802.83 |
Total GHG Emissions | Tons of CO2 Equivalent | 85739.69 |
Total GHG Emissions Intensity (By Revenue) | Tons of CO2 Equivalent / Ten Thousand RMB in Revenue | 0.12 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2024 |
---|---|---|
Hazardous Waste (Electronic and IT Equipment) | Pieces | 1103 |
Hazardous Waste (Used Batteries) | Pieces | 2309 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2024 |
---|---|---|
Non-Hazardous Waste (Domestic Waste) | Tons | 1176.6 |
Non-Hazardous Waste (Kitchen Waste) | Tons | 677 |
Total Non-Hazardous Waste Disposed | Tons | 1853.6 |
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).
Standard Indicator | Unit | 2024 |
---|---|---|
Diesel Fuel Consumption | Liters | 186777.98 |
Energy Consumption Intensity (By Revenue) | Tons of Standard Coal / RMB 10000 Revenue | 0.05 |
Gasoline Consumption | Liters | 347429.9 |
Natural Gas Consumption | Cubic Meters | 30837747.42 |
Purchased Electricity | kWh | 27671646.11 |
Purchased Steam | Tons | 5395 |
Solar Energy | kWh | 586100 |
Total Direct Energy Consumption | Tons of Standard Coal | 34520.76 |
Total Energy Consumption | Tons of Standard Coal | 38615.4 |
Total Indirect Energy Consumption | Tons of Standard Coal | 4094.64 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2024 |
---|---|---|---|
Water Consumption | Tons | 386078 | |
Water Consumption Intensity (By Revenue) | Tons / RMB 10000 Revenue | 0.54 | |
Water Consumption in Office | tons | 109200 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
Electricity Usage Reduction Compared to Last Year | kWh |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | tons | 10000 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2024 |
---|---|---|
Packaging Material Consumption (Metal) | Tons | 2016.98 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2024 |
---|---|---|
Total Investment in Ecological Restoration | million RMB | 5.53 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Employees Aged 30-50 | persons | 846 |
Number of Employees Aged Above 50 | persons | 285 |
Number of Employees Aged Below 30 | persons | 805 |
Number of Female Employees | persons | 908 |
Number of Male Employees | persons | 1028 |
Number of Total Employees | persons | 1936 |
Percentage of Employees Aged 30-50 | % | 43.7 |
Percentage of Employees Aged Above 50 | % | 14.7 |
Percentage of Employees Aged Below 30 | % | 41.6 |
Percentage of Female Employees | % | 46.9 |
Percentage of Male Employees | % | 53.1 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit |
---|---|
Turnover Rate of Employees Aged 30-50 | % |
Turnover Rate of Employees Aged Above 50 | % |
Turnover Rate of Female Employees | % |
Turnover Rate of Male Employees | % |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Fatalities Rate as a Result of Work-related Injuries | % | 0.0615 | ||
Number of Fatalities as a Result of Work-related Injuries | persons | 1 | ||
Number of Fatalities of the Last 3 Years | persons | 1 | 1 | 1 |
Number of Work-related Fatalities | persons | 1 | ||
Work-related Fatalities Rate | % | 0.0615 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 323 | 315 | 662 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2024 |
---|---|---|
Health Check Coverage for Employees | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2024 |
---|---|---|
Percentage of Trained Female Employees | Percentage | 47.26 |
Percentage of Trained General Employees | Percentage | 96.63 |
Percentage of Trained Male Employees | Percentage | 52.74 |
Percentage of Trained Middle Management | Percentage | 2.34 |
Percentage of Trained Senior Management | Percentage | 1.03 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2024 |
---|---|---|
Average Training Hours (Female) | hours | 19.95 |
Average Training Hours (General Employees) | hours | 19.57 |
Average Training Hours (Male) | hours | 20.3 |
Average Training Hours (Middle Management) | hours | 40.43 |
Average Training Hours (Senior Management) | hours | 37.94 |
Average Training Hours per Employee | hours | 20.13 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Volunteer Activities Sessions | 538 | |
Total Social Investment | RMB | 731300 |
Total Volunteer Service Hours | hours | 70000 |