Environmental, Social and Governance Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Nitrogen oxides | Ton | 1.86 | 1.75 | 1.31 | 74 |
| Particulate matter | kg | 171 | 156 | 117 | 74 |
| Sulfur dioxide | kg | 6.46 | 7.88 | 6.05 | 74 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Greenhouse gas emission density | Ton of CO2 equivalence/km, Ton of CO₂ equivalence/km¹ | 20.69 | 22.97 | 25.96 | 29, 74 |
| Greenhouse gas emissions (Scope 1) | Ton of CO2 equivalence, Ton of CO₂ equivalence | 2120 | 2274 | 1150 | 29, 74 |
| Greenhouse gas emissions (Scope 2) | Ton of CO2 equivalence, Ton of CO₂ equivalence | 5682 | 6202 | 12702 | 29, 74 |
| Proportion of greenhouse gas emission that was indirect emission from the purchase of power | % | 92 | 31 | ||
| Total emission of greenhouse gas | Ton of CO2 equivalence | 7802 | 8236 | 13852 | 74 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Printer toner cartridge | pcs | 804 | 744 | 1223 | 74 |
| Waste fluorescent tube | pcs | 2153 | 1662 | 2004 | 74 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Bituminous concrete | Ton | 29557 | 28294 | 73478 | 74 |
| Bituminous concrete (Non-hazardous Waste Generated) | Ton | 73478 | 29 | ||
| Non-hazardous waste density | Ton/km | 82.47 | 78.94 | 137.7 | 74 |
| Paint consumption | Ton | 201 | 8 | 26 | 75 |
| Pitch mixture consumption | Ton | 47246 | 16770 | 85823 | 75 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Attributable equity toll mileage of expressway and bridge | km | 532.4 | 5 | ||
| Diesel consumption | Litre | 119418 | 187034 | 137690 | 75 |
| Electrical energy consumption | kWh | 10377757 | 10568207 | 23452985 | 75 |
| Energy Consumption intensity | MWh/km | 42.77 | 43.34 | 52.63 | 75 |
| Gasoline consumption | Litre | 308873 | 330672 | 259268 | 75 |
| LPG consumption | Ton | 69 | 347 | 62 | 75 |
| Natural gas consumption | m³ | 4640 | 3851 | 7858 | 75 |
| Total energy consumption | MWh | 15328 | 15534 | 28082 | 75 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption | m³ | 163979 | 193095 | 229737 | 75 |
| Water consumption per capita | m³/person | 97.2 | 96.69 | 114.35 | 75 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Cement concrete (new material) consumption | Ton | 12233 | 11076 | 35679 | 75 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Snow melting agent consumption | Ton | 759 | 905 | 763 | 75 |
| Steel consumption | Ton | 231 | 136 | 1234 | 75 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of complaints received by GNSR Expressway on noise pollution (year-on-year change) | % | -50 | 67 | ||
| Number of expressway and bridge projects | 15 | 5 | |||
| Stone materials consumption | Ton | 2281 | 444 | 5247 | 75 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Annual disposable income per capita of Xianshui Village | RMB | 27755 | 62 | ||
| Local employees accounted (hiring local staff from same province/municipality as operation location in Mainland China) | % | Over 90 | 57 | ||
| Number of employees | staff | 2009 | 5 | ||
| Total employees | Person | 1491 | 1997 | 2009 | 76 |
| Total employees by age: 29 and below | Person | 605 | 818 | 76 | |
| Total employees by age: 30 to 49 | Person | 798 | 1083 | 76 | |
| Total employees by age: 50 and above | Person | 88 | 108 | 76 | |
| Total employees by employment type: Managerial staff | Person | 137 | 72 | 76 | |
| Total employees by employment type: Non-managerial staff | Person | 1354 | 1937 | 76 | |
| Total employees by gender: Female | Person | 679 | 903 | 76 | |
| Total employees by gender: Male | Person | 812 | 1106 | 76 | |
| Total number of employees | 2009 | 57 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total turnover rate of employee | % | 12.1 | 11.23 | 12 | 76 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Annual traffic accident rate decline year-on-year | year-on-year | 11.7% | 10 | ||
| Annual traffic accident rate year-on-year change | % | -11.7 | 38 | ||
| Change in number of traffic accidents compared with 2018 | number of accidents | -1564 | 45 | ||
| Change in number of traffic accidents compared with 2019 | number of accidents | -551 | 45 | ||
| Change in traffic accident rate compared with 2018 | percent | -27.4 | 45 | ||
| Change in traffic accident rate compared with 2019 | percent | -11.7 | 45 | ||
| Number of work-related injuries | Time | 1 | 5 | 1 | 76 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total days lost due to work-related injuries | Day | 3 | 173 | 83 | 76 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Annual direct and indirect investment in traffic safety | million RMB | 21.89 | 45 |
| Investment in production safety | million RMB | 21.89 | 10 |
| Number of hidden hazards identified and addressed | 1093 | 38 | |
| Number of safety inspections conducted | 798 | 38 | |
| Safety training person times | person times | 13826 | 44 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2020 | Report Pages |
|---|---|---|---|---|
| Person-times of employees trained by employment type: Managerial staff | Person-time | 757 | 2217 | 76 |
| Person-times of employees trained by employment type: Non-managerial staff | Person-time | 5450 | 20459 | 76 |
| Person-times of employees trained by gender: Female | Person-time | 2683 | 10991 | 76 |
| Person-times of employees trained by gender: Male | Person-time | 3524 | 11685 | 76 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average training hours by employment type: Managerial staff | Hour/person | 119 | 77 | ||
| Average training hours by employment type: Non-managerial staff | Hour/person | 82 | 77 | ||
| Average training hours by gender: Female | Hour/person | 89 | 77 | ||
| Average training hours by gender: Male | Hour/person | 79 | 77 | ||
| Average training hours of employees | Hour/person | 12 | 34 | 83 | 77 |
| Total person-times of trained employees | Person-time | 5138 | 9991 | 22676 | 76 |
| Total training hours of employees | Hour | 39946 | 52155 | 166839 | 77 |
| Year on year increase in safety training person times | % | 47.8% | 44 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Local procurement ratio | % | 68 | 53 | ||
| Number of suppliers out of the province | Number of suppliers | 597 | 77 | ||
| Number of suppliers within the province | Number of suppliers | 1270 | 77 | ||
| Total number of suppliers | Number of suppliers, suppliers | 615 | 682 | 1867 | 52, 53, 77 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Electronic procurement system fully launched | Yes | 51 | |
| No supplier misconduct found | No | 51 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Business complaint | Time | 34 | 19 | 147 | 77 |
| Other complaints | Time | 17 | 14 | 50 | 77 |
| Service complaint | Time | 50 | 30 | 62 | 77 |
| Total complaints | Time | 101 | 63 | 259 | 77 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of anti-corruption policies updated and announced | policies | 5 | 22 |
| Projects with local land use permit | all | 33 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Enrollment rate of compulsory education for children of poverty-stricken households in Xianshui Village | % | 100% | 65 |
| Fulfillment rate of policy-based education subsidies in Xianshui Village | % | 100% | 65 |
| Number of long-term and stable poverty alleviation projects per village | 8 | 64 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Annual operational income | billion RMB | 2.92 | 5 | ||
| Blood donated by GNSR Expressway Company staff during epidemic | ml | 26600 | 66 | ||
| Investment in poverty alleviation | million RMB | 7.716 | 62 | ||
| Minimum bonus and earning per village for long-term and stable poverty alleviation projects | RMB | 300000 | 64 | ||
| Number of poor households in Xianshui Village lifted out of poverty | households | 67 | 62 | ||
| Poverty alleviation investment | RMB 10k | 354 | 171.6 | 105.3 | 77 |
| Proportion of workforce participating in blood donation (GNSR Expressway Company) | 1/4 | 66 | |||
| Utilization rate of invested poverty alleviation funds | 98.7% | 10 | |||
| Yuexiu Transport support for Xianshui Village and invested | million RMB | 1.053 | 63 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 171 | 156 | 117 |
| NOₓ Emissions | Ton | 1.86 | 1.75 | 1.31 |
| SOₓ Emissions | kg | 6.46 | 7.88 | 6.05 |
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 | 2019 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Ton of CO2 equivalence | 2120 | 2274 | 1150 |
| Indirect Energy Emissions (Scope 2) | Ton of CO2 equivalence | 5682 | 6202 | 12702 |
| Total GHG Emissions | Ton of CO2 equivalence | 7802 | 8236 | 13852 |
| Total GHG Emissions Intensity (By Product Volume) | Ton of CO2 equivalence/km | 20.69 | 22.97 | 25.96 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Hazardous Waste (Electronic and IT Equipment) | pcs | 804 | 1662 | 1223 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Unit Product) | Ton/km | 82.47 | 78.94 | 137.7 |
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 | 2019 | 2020 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Litre | 119418 | 187034 | 137690 |
| Energy Consumption Intensity (By Unit Product) | MWh/km | 42.77 | 43.34 | 52.63 |
| Gasoline Consumption | Litre | 308873 | 330672 | 259268 |
| LPG Consumption | Ton | 69 | 347 | 62 |
| Natural Gas Consumption | m³ | 4640 | 3851 | 7858 |
| Purchased Electricity | kWh | 10377757 | 10568207 | 23452985 |
| Total Energy Consumption | MWh | 15328 | 15534 | 28082 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | m³ | 163979 | 193095 | 229737 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | Person | 798 | 1083 | |
| Number of Employees Aged Above 50 | Person | 88 | 108 | |
| Number of Employees Aged Below 30 | Person | 605 | 818 | |
| Number of Female Employees | Person | 679 | 903 | |
| Number of Male Employees | Person | 812 | 1106 | |
| Number of Total Employees | Person | 1491 | 1997 | 2009 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Turnover Rate of Total Employees | % | 12.1 | 11.23 | 12 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 3 | 173 | 83 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Work Safety | million RMB | 21.89 |
| Number of People Receiving Training on Work Safety | person times | 13826 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2020 |
|---|---|---|---|
| Percentage of Trained Female Employees | % | 43.23 | 48.46 |
| Percentage of Trained General Employees | % | 87.82 | 90.22 |
| Percentage of Trained Male Employees | % | 56.77 | 51.54 |
| Percentage of Trained Senior Management | % | 12.18 | 9.78 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour/person | 89 | ||
| Average Training Hours (General Staff) | Hour/person | 82 | ||
| Average Training Hours (Male) | Hour/person | 79 | ||
| Average Training Hours (Senior Management) | Hour/person | 119 | ||
| Average Training Hours per Employee | Hour/person | 12 | 34 | 83 |
| Total Training Hours | Hour | 39946 | 52155 | 166839 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Local Suppliers | suppliers | 1270 | ||
| Number of Total Suppliers | suppliers | 615 | 682 | 1867 |
| Proportion of Spending on Local Suppliers | % | 68 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Complaint Growth Rate | Percent | -37.62 | 311.11 | |
| Number of Products and Service Related Complaints | Time | 50 | 30 | 62 |
| Total Number of Customer Complaints | Time | 101 | 63 | 259 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 354 | 171.6 | 1.053 |