2019 Corporate Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 |
---|---|---|---|---|---|
Carbon dioxide emissions | Ton | 19583730 | 20811518.51 | 22429251.43 | 48 |
Carbon dioxide emissions per ton kilometers | Ton/10000 ton kilometers | 10.23 | 10.21 | 10.01 | 49 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Dispose of electronic waste hazardous waste (Shanghai area) | pieces | 1.806 | 38 |
Oil-water and hydrocarbon-water mixtures or emulsions hazardous waste | tons | 50.33 | 38 |
Organic resin waste hazardous waste | tons | 2.31 | 38 |
Waste containing Hg hazardous waste | tons | 0.05 | 38 |
Waste lead and paints hazardous waste | tons | 13.26 | 38 |
Waste medicine hazardous waste | tons | 0.17 | 38 |
Waste mixed with acids and waste containing mineral oil hazardous waste | tons | 15.33 | 38 |
Waste organic solvents and waste containing organic solvents hazardous waste | tons | 34.56 | 38 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Cabin waste non-hazardous waste | tons | 39331.016 | 38 | ||
Domestic waste non-hazardous waste | tons | 5674.73 | 38 | ||
Kitchen waste non-hazardous waste | tons | 1302.48 | 38 | ||
Number of recycled electronic equipment | 266 | 1696 | 49 | ||
Number of recycled electronic equipment (Shanghai area) | 1836 | 49 | |||
Quantity of non-hazardous waste by category | Ton | 33 | Total: 36.50 Waste organic solvent: 0.7 containing organic solvent: 10 Waste mineral oil and waste containing mineral oil: 5.0 Oily and hydrocarbon wastewater or emulsions: 5.3 Waste residues or emulsions: 3.5 Waste dyes and paints: 2.6 Organic resin waste: 7.6 | Total: 24.74 Waste organic solvent: 0.7 containing organic solvent: 3.66 Waste mineral oil and waste containing mineral oil: 5.66 Oily and hydrocarbon wastewater or emulsions: 3.34 Waste dyes and paints: 2.37 Organic resin waste: 2.64 | 49 |
Sewage discharge | Ton | 4242 | 4600 | 4010 | 49 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Carbon emissions reduced | tons | 615800 | 37 |
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 |
---|---|---|---|---|---|
Aviation fuel consumption | Kiloton | 6276.17 | 6680.68 | 7156.01 | 48 |
Consumption of other petroleum products | Ton | 276.9 | 344 | 413 | 48 |
Diesel consumption | Kiloliter | 11256 | 11186.6 | 10866.26 | 48 |
Electricity consumption | 1000 kWh | 13480.69 | 17424.83 | 18556 | 48 |
Energy consumption per RMB 10000 of operating revenue | Tons of standard coal per RMB 10000 | 0.109 | 0.106 | 0.096 | 48 |
Energy consumption per transport distance | Tons of aviation fuel/10000 kilometers | 3.297 | 3.246 | 3.178 | 49 |
Fuel consumption available per ton kilometers | Ton/10000 ton kilometers | 2.2537 | 2.2114 | 2.1506 | 49 |
Fuel consumption per flight | Ton/hour | 2.49 | 2.99 | 3.47 | 49 |
Gasoline consumption | Kiloliter | 2345 | 2646.7 | 2363.25 | 48 |
LPG consumption | 1000 m³ | 81.3 | 70 | 42.82 | 48 |
Natural gas consumption | Kiloton | 1.07 | 2.04 | 2.21 | 48 |
Number of PV in fleets | 74 | 82 | 93 | 48 | |
Proportion of general vehicles powered by new energy | % | 100 | 38 | ||
Proportion of new energy vehicles in self-powered vehicles at Beijing Daxing International Airport | % | 57 | 38 | ||
Transport volume | Billion ton kilometers | 18.86 | 20.3 | 22.518 | 48 |
Utilization rate of aircraft | Hour | 9.68 | 9.43 | 9.56 | 48 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Water consumption | Kiloton | 4749 | 4876 | 4646.01 | 48 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Fuel saved | tons | 195500 | 37 | |
Investment in energy conservation and emission reduction | million RMB | 745 | 37 | |
Total fuel saving | 10000 ton | 20.07 | 19.95 | 49 |
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 | 2019 | Report Pages |
---|---|---|---|
Volume of sewage discharge declined | tons | 620 | 38 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Age distribution | % | Below 30 years of age: 42.3 31-40 years of age: 38.3 41-50 years of age: 14.9 Above 51 years of age: 4.5 | Below 30 years of age: 42.1 31-40 years of age: 38.2 41-50 years of age: 15.0 Above 51 years of age: 4.7 | Below 30 years of age: 42.6 31-40 years of age: 37.9 41-50 years of age: 17.7 Above 51 years of age: 1.7 | 49 |
Average age of aircraft | Year | 5.96 | 5.7 | 6.16 | 48 |
Collective contract signing rate | % | 100 | 100 | 100 | 49 |
Coverage of enterprise annuity | % | 93.4 | 87.5 | 70.71 | 49 |
Coverage of social insurance | % | 100 | 100 | 100 | 49 |
Educational background | % | Junior college or lower: 56.8 Bachelor degree: 40.2 Master degree or higher: 2.4 | Junior college or lower: 55.3 Bachelor degree: 42.0 Master degree or higher: 2.6 | Junior college or lower: 52.2 Bachelor degree: 44.8 Master degree or higher: 3.0 | 49 |
Labor contract signing rate | % | 100 | 100 | 100 | 49 |
Membership of the Trade Union | % | 97.36 | 94.93 | 97.89 | 49 |
Number of employees | 75277 | 77065 | 81136 | 49 | |
Number of foreign employees | 1324 | 1466 | 1257 | 49 | |
Number of minority employees | 2235 | 2427 | 2711 | 49 | |
Number of new employees by gender and age | Female: 2620 Male: 5186 Below 30 years of age: 5716 31-40 years of age: 1552 Above 51 years of age: 0 | Female: 2132 Male: 5166 Below 30 years of age: 5496 31-40 years of age: 1802 Above 51 years of age: 0 | Female: 2156 Male: 5344 Below 30 years of age: 5495 31-40 years of age: 2005 Above 51 years of age: 0 | 49 | |
Operating revenue | RMB billion | 101.727 | 114.96 | 120.88 | 48 |
Percentage of female | % | 39.3 | 39.3 | 39.12 | 49 |
Profession distribution | Management personnel: 4202 Professional technicians: 4476 Salesmen: 4776 Financial officers: 636 Ground service personnel and others: 28209 | Management personnel: 4204 Professional technicians: 4564 Salesmen: 3774 Financial officers: 617 Ground service personnel and others: 27269 | Management personnel: 3692 Professional technicians: 4507 Salesmen: 4009 Financial officers: 637 Ground service personnel and others: 31116 | 49 | |
Starting salary standards of main operation sites (Shanghai, Beijing, Kunming, Xi'an) | RMB | Shanghai: 4833 Beijing: 4033 Kunming: 4133 Xi'an: 3093 | Shanghai: 4833 Beijing: 4033 Kunming: 4133 Xi'an: 3093 | Shanghai: 4833 Beijing: 4033 Kunming: 4133 Xi'an: 4000 | 49 |
Total assets | RMB billion | 227.446 | 236.786 | 262.506 | 48 |
Total remuneration for employees | RMB billion | 11.553 | 12.236 | 13.256 | 49 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Employee turnover rate | % | Management personnel: 0.65 Flight crew and security positions: 0.17 Professional technicians: 0.41 Salesmen: 0.45 Others: 2.82 | Management personnel: 0.64 Flight crew and security positions: 0.17 Professional technicians: 0.41 Salesmen: 0.45 Others: 4.37 | By gender: Male: 2.09 Female: 2.06 By nationality: Han: 2.09 Minority: 2.09 By age: Below 30 years of age: 5.94 31-40 years of age: 1.79 41-50 years of age: 0.77 Above 51 years of age: 0.29 By post: Management personnel: 0.79 Flight crew and security positions: 0.51 Professional technicians: 0.54 Salesmen: 0.41 Others: 3.89 | 49 |
Passenger turnover | Million person-time | 110.81 | 121.2 | 130.297 | 48 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Work injuries | 49 | 104 | 138 | 50 | |
Work-related deaths | (1 traffic accident during work and 3 sudden illness during work), (Sudden illness during work) | 4 | 10 | 50 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Proportion of employees who received health examinations | % | 78.4 | 72.1 | 50 | |
Safe flight hours | Million hours | 146700 | 160700 | 165367.3 | 48 |
Total mileage of ground safe operations | Million kilometers | 3.54 | 5.44 | 5.975 | 48 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Investment in smart technologies | RMB million | 23.496 | 44.429 | 40.518 | 48 |
Number of participants in EAP consultation | (Including employees trained before the EAP project, by hotline and face-to-face consultation, employees with psychological crisis intervention), (Including employees trained before the EAP project, employees who are in identification and early warning of psychological abnormality, hotline and face-to-face consultation) | 3647 | 3207 | 786 | 50 |
Number of training participants | Person-times | 345263 | 571577 | 570465 | 50 |
Proportion of employees accepting performance and development appraisal (By gender: Female) | % | 98.9 | 99.7 | 50 | |
Proportion of employees accepting performance and development appraisal (By gender: Male) | % | 97.8 | 98.7 | 50 | |
Proportion of employees accepting performance and development appraisal (Management employees) | % | 98.2 | 99.7 | 50 | |
Proportion of employees accepting performance and development appraisal (Ordinary employees) | % | 96.2 | 98.3 | 50 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Total investment in trainings | RMB million | 49.24 | 107 | 248.63 | 50 |
Training hours per employee (Female) | Hour | 20 | 22.7 | 33.8 | 50 |
Training hours per employee (Male) | Hour | 18.9 | 22 | 32.6 | 50 |
Number of suppliers by geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Domestic destinations of 'Through Check-in' flights | 37 | 37 | 75 | 48 | |
Number of destinations | 177 | 175 | 175 | 48 | |
Number of newly signed domestic distributors | 3433 | 39 | |||
Number of newly signed overseas distributors | 11551 | 39 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Baggage mishandling rate | Millesimal | 1.854 | 1.713 | 1.702 | 48 |
Complaints about passenger privacy | 307 | 306 | 286 | 48 | |
Complaints from passengers | 3167 | 2847 | 4100 | 48 | |
Complaints handling rate | % | 100 | 100 | 100 | 48 |
Copies of passenger satisfaction questionnaires | 440000 | 656000 | 281600 | 48 | |
Coverage of self check-in machines in domestic terminals | % | 90 | 88.11 | 97.41 | 48 |
Flight punctuality rate | % | 71.99 | 80.19 | 81.84 | 48 |
Number of frequent flyers | Million | 31.36 | 37.48 | 42.68 | 48 |
Number of passenger commendation letters | 16293 | 13931 | 11664 | 48 | |
Number of special passengers | Person-time | 251059 | 48 | ||
Number of special passengers (Hongqiao International Airport and Pudong International Airport) | Person-time | 127206 | 140768 | 48 | |
Passenger satisfaction | Point | 91.3 | 89.35 | 87.8 | 48 |
Self check-in for domestic flights | % | 71.2 | 78.8 | 70.41 | 48 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of code-sharing routes | 1150 | 1170 | 1007 | 48 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Interest payment | RMB billion | 3.877 | 4.577 | 5.656 | 48 |
Total tax payment | RMB billion | 9.175 | 8.615 | 7.478 | 48 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Contract compliance rate | % | 100 | 100 | 100 | 48 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Investment in fixed-position poverty alleviation | RMB million | 13.8 | 13.8 | 19.22 | 50 |
Number of public welfare employee volunteers | 866 | 1509 | 1387 | 50 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Financial support for disadvantaged employees | RMB million | 3.49 | 3.5 | 3.5 | 50 |
Number of employees who participated in public welfare volunteering activities | Person-times | 59099 | 24317 | 34110 | 50 |
Number of people benefited from public welfare activities | Person-times | 65733 | 83917 | 78060 | 50 |
Number of registered employee volunteers | 5000 | 50 | |||
Number of routes | 1219 | 1366 | 1628 | 48 | |
Public work service time | 10000 hours | 1709 | 14.88 | 14.34 | 50 |
Special flights | 135 | 144 | 75 | 50 |
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 | 19583730 | 20811518.51 | 22429251.43 |
Total GHG Emissions Intensity (By Product Volume) | Ton/10000 ton kilometers | 10.23 | 10.21 | 10.01 |
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 | pieces | 1.806 |
Total Hazardous Waste | tons | 115.97 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Non-Hazardous Waste (Domestic Waste) | tons | 5302 | 2548 | 5674.73 |
Non-Hazardous Waste (Kitchen Waste) | tons | 33 | 1548 | 1302.48 |
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 | Kiloliter | 11256 | 11186.6 | 10866.26 |
Energy Consumption Intensity (By Revenue) | Tons of standard coal per RMB 10000 | 0.109 | 0.106 | 0.096 |
Gasoline Consumption | Kiloliter | 2345 | 2646.7 | 2363.25 |
LPG Consumption | 1000 m³ | 81.3 | 70 | 42.82 |
Natural Gas Consumption | Kiloton | 1.07 | 2.04 | 2.21 |
Purchased Electricity | 1000 kWh | 13480.69 | 17424.83 | 18556 |
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 | 4242 | 4600 | 4010 |
Water Consumption | Kiloton | 4749 | 4876 | 4646.01 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 745 |
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 | 2019 |
---|---|---|
Wastewater Reduction Compared to Last Year | tons | 620 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Number of Bachelor's Degree Employees | 30290 | 32367 | 36349 | |
Number of Below Junior College Employees | 42880 | 42692 | 42353 | |
Number of Employees Aged 30-50 | 40113 | 41213 | 44713 | |
Number of Employees Aged Above 50 | 3382 | 3625 | 1382 | |
Number of Employees Aged Below 30 | 31861 | 32437 | 34599 | |
Number of Female Employees | 29585 | 30313 | 31761 | |
Number of Male Employees | 45692 | 46752 | 49375 | |
Number of Master's Degree Employees | 1807 | 2006 | 2434 | |
Number of New Employees | 7806 | 7298 | 7500 | |
Number of New Employees (Aged 30-50) | 2090 | 1802 | 2005 | |
Number of New Employees (Aged Below 30) | 5716 | 5496 | 5495 | |
Number of New Employees (Female) | 2620 | 2132 | 2156 | |
Number of New Employees (Male) | 5186 | 5166 | 5344 | |
Number of Total Employees | 75277 | 77065 | 81136 | |
Percentage of Bachelor's Degree Employees | % | 40.2 | 42 | 44.8 |
Percentage of Below Junior College Employees | % | 56.8 | 55.3 | 52.2 |
Percentage of Employees Aged 30-50 | % | 53.2 | 53.2 | 55.6 |
Percentage of Employees Aged Above 50 | % | 4.5 | 4.7 | 1.7 |
Percentage of Employees Aged Below 30 | % | 42.3 | 42.1 | 42.6 |
Percentage of Female Employees | % | 39.3 | 39.3 | 39.12 |
Percentage of Male Employees | % | 60.7 | 60.7 | 60.88 |
Percentage of Master's Degree Employees | % | 2.4 | 2.6 | 3 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 1.79 |
Turnover Rate of Employees Aged Above 50 | % | 0.29 |
Turnover Rate of Employees Aged Below 30 | % | 5.94 |
Turnover Rate of Female Employees | % | 2.06 |
Turnover Rate of Male Employees | % | 2.09 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Number of Work-related Fatalities | persons | 4 | 10 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Health Check Coverage for Employees | % | 78.4 | 72.1 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Percentage of Employees Trained | Person-times | 345263 | 571577 | 570465 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Average Training Hours (Female) | Hour | 20 | 22.7 | 33.8 |
Average Training Hours (Male) | Hour | 18.9 | 22 | 32.6 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Suppliers in Mainland China | 3433 | |
Number of Suppliers in Overseas | 11551 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Complaint Growth Rate | % | -10.09 | 43.99 | |
Complaints Handling Rate | % | 100 | 100 | 100 |
Total Number of Customer Complaints | 3167 | 2847 | 4100 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Percentage of Suppliers Accepting Anti-corruption Policies | % | 100 | 100 | 100 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Number of Participations in Volunteer Activities | Person-times | 59099 | 24317 | 34110 |
Number of People Benefited from Public Welfare Activities | Person-times | 65733 | 83917 | 78060 |
Number of Registered Volunteers | 5000 | |||
Total Volunteer Service Hours | hours | 170900 | 148800 | 143400 |