2022 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| CO - Air Pollutant Emissions | tonne | 17.46 | 16 |
| NOx - Air Pollutant Emissions | tonne | 13.86 | 16 |
| PM10 - Air Pollutant Emissions | tonne | 0.43 | 16 |
| PM2.5 - Air Pollutant Emissions | tonne | 0.39 | 16 |
| SOx - Air Pollutant Emissions | tonne | 0.02 | 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 | 2022 | Report Pages |
|---|---|---|---|
| Density of GHG Emission per 10000 yuan operating income | tonne/10000 yuan | 0.02 | 16 |
| Scope 1 (Direct) GHG Emission | tonne | 3322.84 | 16 |
| Scope 2 (Energy indirect) GHG Emission | tonne | 17231.01 | 16 |
| Total GHG emission | tonne | 20553.85 | 16 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Density of Hazardous Waste per 10000 yuan operating income | tonne/10000 yuan | 0.01 | 16 |
| Electronic hazardous waste - Hazardous Waste | tonne | 1.08 | 16 |
| Milling materials in asphalt pavement maintenance - Hazardous Waste | tonne | 6687.09 | 16 |
| Printer toner cartridges and waste ink cartridges - Hazardous Waste | tonne | 2.37 | 16 |
| Total discharge of hazardous waste | tonne | 6691.37 | 16 |
| Waste lamp (bulb) - Hazardous Waste | tonne | 0.83 | 16 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Bituminous concrete - Non-hazardous Waste | tonne | 36.43 | 16 |
| Cement Concrete - Non-hazardous Waste | tonne | 145.79 | 16 |
| Density of Non-hazardous Waste per 10000 yuan operating income | tonne/10000 yuan | 0.004 | 16 |
| Domestic/office waste - Non-hazardous Waste | tonne | 3364.7 | 16 |
| Metal - Non-hazardous Waste | tonne | 1.68 | 16 |
| Paper - Non-hazardous Waste | tonne | 39 | 16 |
| Plastic - Non-hazardous Waste | tonne | 1.31 | 16 |
| Timber - Non-hazardous Waste | tonne | 1.08 | 16 |
| Total discharge of non-hazardous waste | tonne | 3589.82 | 16 |
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 | Report Pages |
|---|---|---|---|
| Density of direct energy consumption per 10000 yuan operating income | kWh in '000s/10000 yuan | 0.01 | 18 |
| Density of indirect energy consumption per 10000 yuan operating income | kWh in '000s/10000 yuan | 0.03 | 18 |
| Diesel consumption | 10000 litres | 51.71 | 18 |
| Electricity consumption | kWh in '000s | 30071.58 | 18 |
| Gasoline consumption | 10000 litres | 76.66 | 18 |
| Liquefied petroleum gas consumption | tonne | 18.5 | 18 |
| Natural gas consumption | 10000 m³ | 12.03 | 18 |
| Total consumption of direct energy | kWh in '000s | 13899.82 | 18 |
| Total indirect energy consumption | kWh in '000s | 30071.58 | 18 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Density of water consumption per 10000 yuan operating income | tonnes/10000 yuan | 0.7 | 18 |
| Water consumption | million tonnes | 0.69 | 18 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Total Lanes - Chengbei Expressway | 20 | 13 | |
| Total Lanes - Chengle Expressway | 200 | 13 | |
| Total Lanes - Chengren Expressway | 85 | 13 | |
| Total Lanes - Chengya Expressway | 129 | 13 | |
| Total Lanes - Chenyu Expressway | 138 | 13 | |
| Total Lanes - Suiguang and Suixi Expressway | 80 | 13 | |
| Total Lanes - Total | 652 | 13 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of annual general meetings held | 1 | 8 | |
| Number of employees (Labour contract with a fixed term) | person | 2377 | 24 |
| Number of employees (Labour contract with a fixed term, Female) | person | 1291 | 24 |
| Number of employees (Labour contract with a fixed term, Male) | person | 1086 | 24 |
| Number of employees (Open-ended labour contract) | person | 1752 | 24 |
| Number of employees (Open-ended labour contract, Female) | person | 749 | 24 |
| Number of employees (Open-ended labour contract, Male) | person | 1003 | 24 |
| Number of employees (Other types) | person | 21 | 24 |
| Number of employees (Other types, Female) | person | 7 | 24 |
| Number of employees (Other types, Male) | person | 14 | 24 |
| Number of employees (female, 35 and below) | person | 1145 | 23 |
| Number of employees (female, 36-40) | person | 340 | 23 |
| Number of employees (female, 41-50) | person | 484 | 23 |
| Number of employees (female, 51-55) | person | 75 | 23 |
| Number of employees (female, 56 and above) | person | 3 | 23 |
| Number of employees (female, general management) | person | 475 | 23 |
| Number of employees (female, middle-level management) | person | 128 | 23 |
| Number of employees (female, non-management) | person | 1419 | 23 |
| Number of employees (female, senior management) | person | 25 | 23 |
| Number of employees (male, 35 and below) | person | 870 | 23 |
| Number of employees (male, 36-40) | person | 280 | 23 |
| Number of employees (male, 41-50) | person | 567 | 23 |
| Number of employees (male, 51-55) | person | 257 | 23 |
| Number of employees (male, 56 and above) | person | 129 | 23 |
| Number of employees (male, general management) | person | 446 | 23 |
| Number of employees (male, middle-level management) | person | 175 | 23 |
| Number of employees (male, non-management) | person | 1407 | 23 |
| Number of employees (male, senior management) | person | 75 | 23 |
| Number of employees (total female) | person | 2047 | 23 |
| Number of employees (total male) | person | 2103 | 23 |
| Number of employees (total, 35 and below) | person | 2015 | 23 |
| Number of employees (total, 36-40) | person | 620 | 23 |
| Number of employees (total, 41-50) | person | 1051 | 23 |
| Number of employees (total, 51-55) | person | 332 | 23 |
| Number of employees (total, 56 and above) | person | 132 | 23 |
| Number of employees in Chengdu City | person | 2218 | 24 |
| Number of employees in Guang'an City | person | 168 | 24 |
| Number of employees in Leshan City | person | 165 | 24 |
| Number of employees in Meishan City | person | 475 | 24 |
| Number of employees in Nanchong City | person | 56 | 24 |
| Number of employees in Neijiang City | person | 258 | 24 |
| Number of employees in Others (region) | person | 9 | 24 |
| Number of employees in Suining City | person | 277 | 24 |
| Number of employees in Ya'an City | person | 246 | 24 |
| Number of employees in Ziyang City | person | 278 | 24 |
| Number of employees with Bachelor's degree | person | 1509 | 24 |
| Number of employees with College degree | person | 1640 | 24 |
| Number of employees with Postgraduate education degree | person | 219 | 24 |
| Number of employees with Technical secondary school and below | person | 782 | 24 |
| Number of extraordinary general meetings held | 5 | 8 | |
| Number of full-time employees | person | 4149 | 24 |
| Number of management personnel | person | 1324 | 23 |
| Number of part-time employees | person | 1 | 24 |
| Percentage of female employees | 49.3% | 23 | |
| Total number of employees | person | 4150 | 23, 24 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of staff turnovers (Age 35 and below) | 58 | 24 | |
| Number of staff turnovers (Age 36-40) | 14 | 24 | |
| Number of staff turnovers (Age 41-50) | 9 | 24 | |
| Number of staff turnovers (Age 51-55) | 22 | 24 | |
| Number of staff turnovers (Age 56 and above) | 22 | 24 | |
| Number of staff turnovers (Female) | 61 | 24 | |
| Number of staff turnovers (Male) | 64 | 24 | |
| Number of staff turnovers in Chengdu City | 89 | 24 | |
| Number of staff turnovers in Guang'an City | 1 | 24 | |
| Number of staff turnovers in Leshan City | 6 | 24 | |
| Number of staff turnovers in Meishan City | 6 | 24 | |
| Number of staff turnovers in Neijiang City | 7 | 24 | |
| Number of staff turnovers in Suining City | 4 | 24 | |
| Number of staff turnovers in Ya'an City | 6 | 24 | |
| Number of staff turnovers in Ziyang City | 6 | 24 | |
| Staff turnover rate (Age 35 and below) | 2.88% | 24 | |
| Staff turnover rate (Age 36-40) | 2.21% | 24 | |
| Staff turnover rate (Age 41-50) | 0.86% | 24 | |
| Staff turnover rate (Age 51-55) | 6.63% | 24 | |
| Staff turnover rate (Age 56 and above) | 16.67% | 24 | |
| Staff turnover rate (Female) | 2.98% | 24 | |
| Staff turnover rate (Male) | 3.04% | 24 | |
| Staff turnover rate in Chengdu City | 4.01% | 24 | |
| Staff turnover rate in Guang'an City | 0.60% | 24 | |
| Staff turnover rate in Leshan City | 3.64% | 24 | |
| Staff turnover rate in Meishan City | 1.26% | 24 | |
| Staff turnover rate in Neijiang City | 2.71% | 24 | |
| Staff turnover rate in Suining City | 1.44% | 24 | |
| Staff turnover rate in Ya'an City | 2.44% | 24 | |
| Staff turnover rate in Ziyang City | 2.16% | 24 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of work-related fatalities | 1 | 25 | |||
| Rate of work-related fatalities (per 100 employees) | 0.000% | 0.024% | 0.000% | 25 |
Lost days due to work injury.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work injury | days | 887 | 970 | 740 | 25 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of skilled personnel | person | 2826 | 23 |
| Number of trainees of management - General management (Female) | person | 457 | 27 |
| Number of trainees of management - General management (Male) | person | 403 | 27 |
| Number of trainees of management - General management (Total) | person | 860 | 27 |
| Number of trainees of management - Middle-level management (Female) | person | 118 | 27 |
| Number of trainees of management - Middle-level management (Male) | person | 165 | 27 |
| Number of trainees of management - Middle-level management (Total) | person | 283 | 27 |
| Number of trainees of management - Senior management (Female) | person | 25 | 27 |
| Number of trainees of management - Senior management (Male) | person | 60 | 27 |
| Number of trainees of management - Senior management (Total) | person | 85 | 27 |
| Number of trainees of non-management (Female) | person | 1370 | 27 |
| Number of trainees of non-management (Male) | person | 1345 | 27 |
| Number of trainees of non-management (Total) | person | 2715 | 27 |
| Rate of trainees of management - General management (Female) | 11.59% | 27 | |
| Rate of trainees of management - General management (Male) | 10.22% | 27 | |
| Rate of trainees of management - General management (Total) | 21.81% | 27 | |
| Rate of trainees of management - Middle-level management (Female) | 2.99% | 27 | |
| Rate of trainees of management - Middle-level management (Male) | 4.18% | 27 | |
| Rate of trainees of management - Middle-level management (Total) | 7.18% | 27 | |
| Rate of trainees of management - Senior management (Female) | 0.63% | 27 | |
| Rate of trainees of management - Senior management (Male) | 1.52% | 27 | |
| Rate of trainees of management - Senior management (Total) | 2.16% | 27 | |
| Rate of trainees of non-management (Female) | 34.75% | 27 | |
| Rate of trainees of non-management (Male) | 34.11% | 27 | |
| Rate of trainees of non-management (Total) | 68.86% | 27 | |
| Total number of trainees (Female) | person | 1970 | 27 |
| Total number of trainees (Male) | person | 1973 | 27 |
| Total number of trainees (Total) | person | 3943 | 27 |
| Total rate of trainees (Female) | 49.96% | 27 | |
| Total rate of trainees (Male) | 50.04% | 27 | |
| Total rate of trainees (Total) | 95.01% | 27 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Average training hours (Female) | hours | 59.17 | 27 |
| Average training hours (Male) | hours | 56.74 | 27 |
| Average training hours for non-management (Female) | hours | 59 | 27 |
| Average training hours for non-management (Male) | hours | 56 | 27 |
| Average training hours for the management - General management (Female) | hours | 62 | 27 |
| Average training hours for the management - General management (Male) | hours | 64 | 27 |
| Average training hours for the management - Middle-level management (Female) | hours | 49 | 27 |
| Average training hours for the management - Middle-level management (Male) | hours | 49 | 27 |
| Average training hours for the management - Senior management (Female) | hours | 65 | 27 |
| Average training hours for the management - Senior management (Male) | hours | 46 | 27 |
| Total average training hours | hours | 58 | 27 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| ETC Lanes - Chengbei Expressway | 18 | 13 | |
| ETC Lanes - Chengle Expressway | 126 | 13 | |
| ETC Lanes - Chengren Expressway | 51 | 13 | |
| ETC Lanes - Chengya Expressway | 60 | 13 | |
| ETC Lanes - Chenyu Expressway | 90 | 13 | |
| ETC Lanes - Suiguang and Suixi Expressway | 41 | 13 | |
| ETC Lanes - Total | 386 | 13 | |
| ETC/MTC Mixed Lanes - Chengbei Expressway | 2 | 13 | |
| ETC/MTC Mixed Lanes - Chengle Expressway | 74 | 13 | |
| ETC/MTC Mixed Lanes - Chengren Expressway | 34 | 13 | |
| ETC/MTC Mixed Lanes - Chengya Expressway | 69 | 13 | |
| ETC/MTC Mixed Lanes - Chenyu Expressway | 48 | 13 | |
| ETC/MTC Mixed Lanes - Suiguang and Suixi Expressway | 39 | 13 | |
| ETC/MTC Mixed Lanes - Total | 266 | 13 | |
| Number of engineering service agencies (or suppliers and contractors) and engineering raw material suppliers | 10 | 29 | |
| Number of suppliers in Central China | 2 | 29 | |
| Number of suppliers in East China | 1 | 29 | |
| Number of suppliers in Southwest China | 7 | 29 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of A shares announcements | 136 | 8 | |
| Number of H shares announcements | 118 | 8 | |
| Number of complaints accepted | 212 | 29 | |
| Number of investors participating in communications | 130 | 8 | |
| Number of periodic reports issued | 4 | 8 | |
| Toll Stations - Chengbei Expressway | 1 | 13 | |
| Toll Stations - Chengle Expressway | 17 | 13 | |
| Toll Stations - Chengren Expressway | 9 | 13 | |
| Toll Stations - Chengya Expressway | 16 | 13 | |
| Toll Stations - Chenyu Expressway | 16 | 13 | |
| Toll Stations - Suiguang and Suixi Expressway | 13 | 13 | |
| Toll Stations - Total | 72 | 13 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| PQI score of road quality index of each expressway (as tested by industry management unit) | 92 | 29 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of investor communications through SSE e-interaction, telephone, letter, and internet | 50 | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Pooling rate of funds | % | 98 | 8 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 0.43 |
| NOₓ Emissions | tonne | 13.86 |
| PM10 Emissions | tonne | 0.43 |
| PM2.5 Emissions | tonne | 0.39 |
| SOₓ Emissions | tonne | 0.02 |
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 | 2022 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne | 3322.84 |
| Indirect Energy Emissions (Scope 2) | tonne | 17231.01 |
| Total GHG Emissions | tonne | 20553.85 |
| Total GHG Emissions Intensity (By Revenue) | tonne/10000 yuan | 0.02 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Hazardous Electronic Waste | tonne | 1.08 |
| Total Hazardous Waste | tonne | 6691.37 |
| Total Hazardous Waste Intensity (By Revenue) | tonne/10000 yuan | 0.01 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | tonne | 3364.7 |
| Paper Waste | tonne | 39 |
| Plastic Waste | tonne | 1.31 |
| Total Non-Hazardous Waste Intensity (By Revenue) | tonne/10000 yuan | 0.004 |
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 | 2022 |
|---|---|---|
| Diesel Fuel Consumption | 10000 litres | 51.71 |
| Direct Energy Intensity (By Revenue) | kWh in '000s/10000 yuan | 0.01 |
| Gasoline Consumption | 10000 litres | 76.66 |
| Indirect Energy Intensity (By Revenue) | kWh in '000s/10000 yuan | 0.03 |
| LPG Consumption | tonne | 18.5 |
| Natural Gas Consumption | 10000 m³ | 12.03 |
| Purchased Electricity | kWh in '000s | 30071.58 |
| Total Direct Energy Consumption | kWh in '000s | 13899.82 |
| Total Energy Consumption | kWh in '000s | 43971.4 |
| Total Indirect Energy Consumption | kWh in '000s | 30071.58 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Water Consumption | million tonnes | 0.69 |
| Water Consumption Intensity (By Revenue) | tonnes/10000 yuan | 0.7 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Bachelor's Degree Employees | person | 1509 |
| Number of Below Junior College Employees | person | 782 |
| Number of Employees Aged 30-50 | person | 1671 |
| Number of Employees Aged 30-50 (Female) | person | 524 |
| Number of Employees Aged 30-50 (Male) | person | 1147 |
| Number of Employees Aged Above 50 | person | 464 |
| Number of Employees Aged Above 50 (Female) | person | 208 |
| Number of Employees Aged Above 50 (Male) | person | 256 |
| Number of Employees Aged Below 30 | person | 2015 |
| Number of Employees Aged Below 30 (Female) | person | 1145 |
| Number of Employees Aged Below 30 (Male) | person | 870 |
| Number of Female Employees | person | 2047 |
| Number of Full-time Employees | person | 4149 |
| Number of General Employees | person | 2826 |
| Number of General Employees (Female) | person | 1419 |
| Number of General Employees(Male) | person | 1407 |
| Number of Male Employees | person | 2103 |
| Number of Middle Management Employees | person | 303 |
| Number of Middle Management Employees (Female) | person | 128 |
| Number of Middle Management Employees (Male) | person | 175 |
| Number of Part-time Employees | person | 1 |
| Number of Senior Management Employees | person | 100 |
| Number of Senior Management Employees (Female) | person | 25 |
| Number of Senior Management Employees (Male) | person | 75 |
| Number of Total Employees | person | 4150 |
| Percentage of Female Employees | % | 49.3 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Turnover Rate of Female Employees | % | 2.98 |
| Turnover Rate of Male Employees | % | 3.04 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2021 |
|---|---|---|
| Number of Work-related Fatalities | 1 | |
| Work-related Fatalities Rate | % | 0.024 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 887 | 970 | 740 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Employees Trained | % | 95.01 |
| Percentage of Trained Female Employees | % | 49.96 |
| Percentage of Trained General Employees | % | 68.86 |
| Percentage of Trained Male Employees | % | 50.04 |
| Percentage of Trained Middle Management | % | 7.18 |
| Percentage of Trained Senior Management | % | 2.16 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Average Training Hours (Female) | hours | 59.17 |
| Average Training Hours (General Staff) | hours | 56 |
| Average Training Hours (Male) | hours | 56.74 |
| Average Training Hours (Middle Management) | hours | 49 |
| Average Training Hours (Senior Management) | hours | 46 |
| Average Training Hours per Employee | hours | 58 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Suppliers in Central China | 2 | |
| Number of Suppliers in East China | 1 | |
| Number of Suppliers in Southwest China | 7 | |
| Number of Total Suppliers | 10 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Number of Customer Complaints | 212 |