2020 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2018-2020 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| COD emissions (10^4 tons) | 10^4 tons | 2.57 | 2.44 | 2.35 | 75 | |
| Ethylene produced | million tons | 6.345 | 5 | |||
| NH3-N emissions (10^4 tons) | 10^4 tons | 1 | 0.87 | 0.83 | 75 | |
| NOx emissions (10^4 tons) | 10^4 tons | 9.66 | 8.9 | 7.76 | 75 | |
| Number of coal-fired heating furnaces removed at the wellhead | furnaces | 3968 | 45 | |||
| Number of jet fuel production equipment passed jet fuel certification | sets | 4 | 73 | |||
| Output of chemical products | tons | 820000 | 73 | |||
| SO2 emissions (10^4 tons) | 10^4 tons | 10.4 | 9.38 | 8.84 | 75 | |
| nitrogen oxide emissions reduction | % | -12.8 | 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 | 2019 | 2020 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Direct GHG emissions | million tons of CO2 equivalent | 127.57 | 35 | |||
| Direct GHG emissions (10^4 tons of CO2 equivalent) | 10^4 tons of CO2 equivalent | 132.57 | 127.57 | 75 | ||
| Domestic GHG emissions per unit of oil and gas production (metric ton of CO2 equivalent/ton) | metric ton of CO2 equivalent/ton | 0.28 | 75 | |||
| Domestic natural gas output | billion cubic feet | 399.3 | 8 | |||
| Domestic natural gas output growth year-on-year | % | 8 | 8 | |||
| Domestic natural gas output year-on-year growth | % | 9.9 | 8 | |||
| Indirect GHG emissions | million tons of CO2 equivalent | 39.87 | 35 | |||
| Indirect GHG emissions (10^4 tons of CO2 equivalent) | 10^4 tons of CO2 equivalent | 41.91 | 39.87 | 75 | ||
| Methane emission intensity reduction target (compared with 2019) | % | 50 | 31 | |||
| Overseas oil and gas production (oil equivalent) | million barrels of oil equivalent | 215.8 | 5 | |||
| Total GHG emissions | million tons of CO2 equivalent | 167.44 | 35 | |||
| Total GHG emissions (10^4 tons of CO2 equivalent) | 10^4 tons of CO2 equivalent | 174.08 | 167.44 | 75 | ||
| Total GHG emissions, decrease compared with 2019 | % | -3.81 | 32 | |||
| carbon emission intensity of member companies in the upstream field | kg CO2 equivalent per barrel oil equivalent | 23 | 20 | 34 | ||
| geothermal utilization replaces standard coal | tons | 222200 | 38 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2050 | Report Pages |
|---|---|---|---|---|
| Ammonia-nitrogen, sulfur dioxide and nitrogen oxides emissions reduction | % | 3.9 | 8 | |
| CO2 emission equivalent per unit of operating income, decrease compared with 2015 | % | -25.17 | 32 | |
| Coal replaced by 'coal to gas' project in winter | tons | 600000 | 37 | |
| Company will achieve 'near-zero' emissions | emissions | near-zero | 25 | |
| ammonia nitrogen emissions reduction | % | -4.5 | 43 | |
| number of roundtable forums on emissions reduction in transportation organized | 9 | 34 | ||
| sulfur dioxide emissions reduction | % | -5.7 | 43 |
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 | 2020 | Report Pages |
|---|---|---|---|
| COD emissions reduction | % | -3.7 | 43 |
| Number of pollution control upgrade projects implemented | projects | 60 | 44 |
| Utilization and harmless treatment rate for drilling waste resource | 100% | 42 |
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 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Additional tons of jet fuel per year from certified equipment | million tons | 2.66 | 73 | ||||||||||
| Annual output of shale gas in southern Sichuan | billion cubic meters | 11.6 | 37 | ||||||||||
| CBM (coalbed methane) proportion of PetroChina's domestic natural gas production | % | 1.9 | 35 | ||||||||||
| Coalbed methane produced | billion cubic meters | 2.15 | 37 | ||||||||||
| Comprehensive energy consumption for producing unit volume of oil and gas equivalent (kg of standard coal/ton) | kg of standard coal/ton | 122 | 119 | 118 | 75 | ||||||||
| Conventional natural gas proportion of PetroChina's domestic natural gas production | % | 56 | 35 | ||||||||||
| Crude oil production (domestic) | million barrels | 743.8 | 5 | ||||||||||
| Cubic meters of natural gas supplied to Hubei Province | billion cubic meters | 1.2 | 68 | ||||||||||
| Fuel and power consumption for producing ethylene products (kg of standard coal/ton) | kg of standard coal/ton | 592 | 580 | 571 | 75 | ||||||||
| Global energy demand change due to COVID-19 | % | -5 | 24 | ||||||||||
| Installed gas-use facilities for households in Shijiazhuang, Xiong'an New District, Shandong and other places | households | 420000 | 37 | ||||||||||
| Melt-blown nonwovens production lines built | tons of melt-blown fabric | 800 | 69 | ||||||||||
| Natural gas consumption in China | 100 million cubic meters | 1070 | 1307 | 1471 | 1680 | 1843 | 1916 | 2010 | 2352 | 2803 | 3067 | 3262 | 36 |
| Natural gas production | billion cubic feet | 422.1 | 8 | ||||||||||
| Natural gas production (domestic, oil equivalent) | million barrels of oil equivalent | 1625.5 | 5 | ||||||||||
| Natural gas production in China as percentage of total domestic output | % | 47.2 | 32 | ||||||||||
| Natural gas supplied to 39 designated hospitals for COVID-19 treatment in Hubei Province | million RMB | 20 | 68 | ||||||||||
| Number of gas station outlets | 20000 | 74 | |||||||||||
| PetroChina's domestic natural gas production | billion cubic meters | 113.09 | 36 | ||||||||||
| PetroChina's domestic natural gas sales | billion cubic meters | 172.59 | 36 | ||||||||||
| PetroChina's domestic natural gas sales volume | 100 million cubic meters | 668.6 | 827.2 | 973 | 1105.6 | 1194.8 | 1226.6 | 1314.5 | 1518.6 | 1595.5 | 1713.8 | 1725.9 | 36 |
| PetroChina's share in domestic natural gas output | % | 70.3% | 36 | ||||||||||
| PetroChina's total natural gas production | billion cubic meters | 119.52 | 36 | ||||||||||
| Petroleum products supplied to 625 gas stations in Hubei Province by April 2020 | tons | 226500 | 68 | ||||||||||
| Proportion of natural gas in China's primary energy consumption mix | % | 4 | 4.6 | 4.8 | 5.3 | 5.7 | 5.9 | 6.2 | 7 | 7.8 | 8.3 | 8.2 | 36 |
| Proportion of natural gas in PetroChina's total domestic output | % | 47.2% | 36 | ||||||||||
| Refined oil processed | million barrels | 1177.5 | 5 | ||||||||||
| Refined oil produced | million tons | 107.042 | 5 | ||||||||||
| Shale gas proportion of PetroChina's domestic natural gas production | % | 10.3 | 35 | ||||||||||
| Tight gas proportion of PetroChina's domestic natural gas production | % | 31.8 | 35 | ||||||||||
| Total crude oil consumption (10^4 TCE) | 10^4 TCE | 186 | 180 | 172 | 75 | ||||||||
| Total electricity consumption (10^8 kWh) | 10^8 kWh | 542 | 563 | 553 | 75 | ||||||||
| Total energy consumption (10^4 TCE) | 10^4 TCE | 8440 | 8703 | 8850 | 75 | ||||||||
| Total natural gas consumption (10^7 m^3) | 10^7 m^3 | 181 | 185 | 187 | 75 | ||||||||
| Total raw coal consumption (10^4 TCE) | 10^4 TCE | 1267 | 1268 | 1289 | 75 | ||||||||
| Unit energy factor consumption for refining (kg standard oil/ton - factor1) | kg standard oil/ton | 7.81 | 7.68 | 7.57 | 75 | ||||||||
| Winter 'coal to gas' users gas supply | million cubic meters | 400 | 37 | ||||||||||
| installed photovoltaic capacity | MW | 31.5 | 38 | ||||||||||
| photovoltaic power generation | million kWh | 30 | 38 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Annual fresh water consumption | million cubic meters | 769.59 | 41 | ||
| Fresh water consumption (10^4 m^3) | 10^4 m^3 | 80005 | 79383 | 76995 | 75 |
| Fresh water consumption for processing 1 ton of crude oil (m^3) | m^3 | 0.51 | 0.52 | 0.5115 | 75 |
| Fresh water consumption in processing one ton of crude oil | cubic meters | 0.515 | 41 | ||
| Year-on-year change in fresh water consumption (%) | % | 1.11 | -0.78 | -3.01 | 75 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Automatic mask production lines built by Daqing Petrochemical, Lanzhou Petrochemical, Fushun Petrochemical and Daqing Oil Field | production lines | 22 | 69 | ||
| Energy saved (10^4 TCE) | 10^4 TCE | 81 | 78 | 76 | 75 |
| Investment in technical upgrading for both energy and water saving | million RMB | 660 | 32 | ||
| Number of energy-consumption equipment tested for energy efficiency | sets | 12297 | 32 | ||
| Water saved (10^4 m^3) | 10^4 m^3 | 1076 | 980 | 944 | 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 | 2020 | Report Pages |
|---|---|---|---|
| Annual fresh water consumption decline | % | -3.01 | 41 |
| Water saved | million cubic meters | 9.44 | 41 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Saleable natural gas production (domestic) | billion cubic feet | 3993.8 | 5 |
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 |
|---|---|---|---|---|---|
| Anti-seepage upgrading at gas stations | gas stations | 20000 | 39 | ||
| Environmental protection (RMB 10^4) | RMB 10^4 | 4860 | 4383 | 375 | 76 |
| Land receded | hectares | 471 | 42 | ||
| Land reclaimed | hectares | 8220 | 42 | ||
| Land saved | hectares | 1190 | 42 | ||
| Land saved (hectare) | hectare | 1253 | 1247 | 1190 | 75 |
| Length of asphalt road built for Muair Village in Halfaya, Iraq | km | 5 | 70 | ||
| Number of trees planted | trees | 2811000 | 33 | ||
| Number of trees planted for local landscaping | trees | 1556000 | 33 | ||
| Planting bases under 'Xiaobing Cooperative' radiation | mu | 1000 | 63 | ||
| Relocation and reconstruction of pipeline for Huoshenshan Hospital | meters | 300 | 68 | ||
| Temporary pipeline urgently laid to designated hospitals in Huangshi and Shiyan | meters | 1802 | 68 | ||
| Tier 1 manufacturers environmental management system certification rate (ISO14000) | % | 92.73 | 18 | ||
| Total area of existing green space | million square meters | 286.6 | 33 | ||
| Total area of tree plantations | hectares | 510 | 35 | ||
| oil and gas production units included in the 2020 National Green Fields List | units | 47 | 43 | ||
| oil, gas and water wells discharged in environmentally sensitive areas | wells | 281.01 | 43 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Recognition by United Nations Global Compact for Best Corporate Practices for Achieving the Sustainable Development Goals | Yes | 62 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| 25 years old and below (%) | % | 1.29 | 76 | ||
| 26-35 years old (%) | % | 12.56 | 76 | ||
| 36-45 years old (%) | % | 27.35 | 76 | ||
| 46-55 years old (%) | % | 49.08 | 76 | ||
| 56 years old and above (%) | % | 9.72 | 76 | ||
| Academicians at the Chinese Academy of Sciences and the Chinese Academy of Engineering | 23 | 57 | |||
| Administrative staff (%) | % | 27.71 | 28.51 | 28.57 | 76 |
| Bachelor’s degree (%) | % | 32.87 | 33.99 | 34.82 | 76 |
| Board diversity - Age - 40 to 49 | % | 18.1 | 14 | ||
| Board diversity - Age - 50 to 59 | % | 54.6 | 14 | ||
| Board diversity - Age - 60 and above | % | 27.3 | 14 | ||
| Board diversity - Gender - Female | % | 9.1 | 14 | ||
| Board diversity - Gender - Male | % | 90.9 | 14 | ||
| Board diversity - Nationality - China | % | 81.8 | 14 | ||
| Board diversity - Nationality - Hong Kong, China | % | 9.1 | 14 | ||
| Board diversity - Nationality - United Kingdom | % | 9.1 | 14 | ||
| Board diversity - Professional background - Economics | % | 18.2 | 14 | ||
| Board diversity - Professional background - Finance/accounting | % | 18.2 | 14 | ||
| Board diversity - Professional background - Legal | % | 9.1 | 14 | ||
| Board diversity - Professional background - Petrochemical | % | 54.5 | 14 | ||
| Board diversity - Role - Executive director | % | 9.1 | 14 | ||
| Board diversity - Role - Independent non-executive director | % | 45.5 | 14 | ||
| Board diversity - Role - Non-executive director | % | 45.5 | 14 | ||
| Board diversity by gender - Female (%) | % | 9.1 | 75 | ||
| Board diversity by gender - Male (%) | % | 90.9 | 75 | ||
| Board professional background - Economics (%) | % | 18.2 | 75 | ||
| Board professional background - Finance/accounting (%) | % | 18.2 | 75 | ||
| Board professional background - Legal (%) | % | 9.1 | 75 | ||
| Board professional background - Petrochemical (%) | % | 54.5 | 75 | ||
| College degree (%) | % | 23.16 | 22.98 | 22.8 | 76 |
| Employees of ethnic minority | % | 6.61 | 49 | ||
| Employees who took maternity/paternity leave returned to work and kept their posts | % | 100 | 48 | ||
| Employees who took maternity/paternity leave returned to work and retained posts (%) | % | 100 | 100 | 100 | 76 |
| Experts entitled to the Government Special Allowance | 569 | 57 | |||
| Female administrative staff | % | 7.28 | 49 | ||
| Female staff | % | 27.52 | 49 | ||
| Full-time staff | % | 100 | 49 | ||
| International and local employees as percentage of overseas workforce | % | 95.15 | 58 | ||
| Job vacancies offered in Hubei Province recruitment initiative | job vacancies | 3000 | 69 | ||
| Master’s degree and above (%) | % | 3.83 | 4.03 | 4.23 | 76 |
| No labor-related offence of material implication to business | None | 48 | |||
| Number of employee representatives in Supervisory Committee | people | 4 | 15 | ||
| Number of employees (10^3) | 10^3 | 47.62 | 46.07 | 43.2 | 76 |
| Number of employees going abroad who have improved their health condition significantly through health management | 648 | 50 | |||
| Number of employees going abroad who have received health examinations and assessment | 17420 | 50 | |||
| Number of people employed increased over 2019 | people | 3000 | 67 | ||
| Number of people promoted extraordinarily | more than | 500 | 56 | ||
| Operating staff (%) | % | 58.39 | 57.55 | 57.35 | 76 |
| Overseas Tax (RMB 10^8) | RMB 10^8 | 401 | 429 | 238 | 76 |
| Percentage of ethnic minority employees (%) | % | 6.51 | 6.53 | 6.61 | 76 |
| Percentage of female administrative staff (%) | % | 7.35 | 7.44 | 7.28 | 76 |
| Percentage of female staff (%) | % | 29.82 | 28.79 | 27.52 | 76 |
| Percentage of foreign employees in overseas projects (%) | % | 92.7 | 94.23 | 95.15 | 76 |
| Percentage of full-time employees (%) | % | 100 | 76 | ||
| Professional and technical staff (%) | % | 13.9 | 13.94 | 14.08 | 76 |
| Proportion of local employees in PetroChina's overseas business regions - Central Asia | % | 97.3 | 59 | ||
| Proportion of local employees in PetroChina's overseas business regions - Latin America | % | 92.3 | 59 | ||
| Proportion of local employees in PetroChina's overseas business regions - Middle East | % | 98.4 | 59 | ||
| Proportion of local employees in PetroChina's overseas business regions - West Africa | % | 62.4 | 59 | ||
| Technical secondary school and below (%) | % | 40.14 | 39 | 38.15 | 76 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Staff turnover rate | 0.27 | 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 |
|---|---|---|---|---|---|
| Fatal Accident Rate (person/100 million working hours) | person/100 million working hours | 0.14 | 0.07 | 0.08 | 75 |
| Fatalities | 4 | 2 | 2 | 52, 75 | |
| Production Related Fatal Accident Rate (FAR) | person/100 million working hours | 0.14 | 0.07 | 0.08 | 52 |
| Total accident rate (incidents/million working hours) | incidents/million working hours | 0.0414 | 0.0562 | 0.0495 | 75 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Loss of working days due to work-related injury | days | 9971 | 6150 | 6806 | 52, 75 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Detection rate of workplace occupational hazards (%) | % | 99.99 | 99.28 | 99.33 | 76 |
| Detection rate of workplaces occupational hazards | % | 99.33 | 50 | ||
| Overseas counter-terrorism and security training coverage | person-times | 9841 | 53 | ||
| Overseas counter-terrorism and security training sessions organized | sessions | 130 | 53 | ||
| Percentage of employees receiving occupational health checks (%) | % | 99.97 | 99.62 | 99.25 | 76 |
| Psychological counselling hotline hours of service (Overseas EAP) | hours | 2017 | 51 | ||
| Safety alerts issued | alerts | 11 | 53 | ||
| The establishment rate of employee occupational health monitoring archives | % | 100 | 50 | ||
| The establishment rate of employee occupational health monitoring archives (%) | % | 100 | 100 | 100 | 76 |
| The occupational health examination rate for employees facing occupational hazards | % | 99.25 | 50 | ||
| Tier 1 manufacturers Occupational Health and Safety Management System Certification rate (ISO18000) | % | 91.2 | 18 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average monthly clicks on employee wellness platform (Overseas EAP) | clicks | 13000 | 51 | ||
| Candidates for young technological talents received training | 552 | 57 | |||
| Compliance training coverage rate for all employees | 100% | 15 | |||
| National Skilled Expert Studios | 21 | 57 | |||
| Number of National Technical Experts emerged | 7 | 56 | |||
| Number of Supervisors participated in training | people | 8 | 15 | ||
| Number of employees covered by head office training projects | 20000 | 54 | |||
| Number of employees participated in vocational skills competitions | 170000 | 56 | |||
| Number of face-to-face training projects organized | 5600 | 54 | |||
| Number of gold medals won in company-level and above competitions | 47 | 56 | |||
| Number of headquarters departments participated in training | departments | 4 | 15 | ||
| Number of implemented training programs | 5600 | 55 | |||
| Number of network training projects implemented | 252 | 54 | |||
| Number of people participated in Supervisors training | people | 40 | 15 | ||
| Number of regional companies participated in training | company | 1 | 15 | ||
| Number of silver medals won in company-level and above competitions | 75 | 56 | |||
| Number of training projects organized and implemented by head office | 158 | 54 | |||
| Number of vocational skills competitions organized and participated in at all levels | 50 | 56 | |||
| Online mental health seminars for employees and their families overseas (Overseas EAP) | seminars | 31 | 51 | ||
| Participants in online mental health seminars for employees and their families overseas (Overseas EAP) | people | 7251 | 51 | ||
| Petroleum scientists received training | 26 | 57 | |||
| Rates of overseas employees' counter-terrorism safety training (management positions) | percent | 89.24 | 53 | ||
| Rates of overseas employees' counter-terrorism safety training (operation positions) | percent | 97.38 | 53 | ||
| Skilled Expert Studios | 93 | 57 | |||
| The training rate of front-line employees (%) | % | 100 | 100 | 100 | 76 |
| Training rate of frontline employees | 100% | 55 | |||
| Training rate of senior skilled personnel and employees in key operating positions | 100% | 55 | |||
| Training rate of senior skilled personnel and personnel at critical operation posts (%) | % | 100 | 100 | 100 | 76 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Average training time per person | hours | 40 | 7, 55 |
| Person-times of participation in face-to-face training | 277000 | 55 | |
| Person-times of participation in online training | million | 11.084 | 55 |
| The average training time per person (hour) | hour | 40 | 76 |
| Total training time | million hours | 14 | 55 |
Description of measures to review employment practices to avoid child and forced labour.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Security plans reviewed and approved for new projects in high and above risk countries/regions | security plans | 289 | 53 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of first-level material suppliers evaluated | 1426 | 18 | |||
| Number of material suppliers | 25420 | 23623 | 23699 | 76 | |
| Number of materials suppliers | 23699 | 18 | |||
| Number of new mixed ownership enterprises established | 11 | 66 | |||
| Number of tier 1 manufacturers | 2216 | 18 | |||
| Oil product retail network coverage (provinces, municipalities, autonomous regions, Hong Kong SAR) | 32 | 74 | |||
| Procurement expenditure (RMB 10^8) | RMB 10^8 | 1924 | 2180 | 1683 | 76 |
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 |
|---|---|---|---|
| Number of affiliate companies with compliance management demonstrations | companies | 17 | 15 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Dynamic quantitative evaluation rate for first-level material suppliers | % | 100 | 18 |
| Number of products evaluated from first-level material suppliers | 4223 | 18 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Maximum daily production of masks | masks per day | 1200000 | 69 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Accumulated output of medical materials | tons | 657000 | 69 |
| Accumulated production of masks | masks | 140000000 | 69 |
| Chemical products produced | million tons | 28.853 | 5 |
| Hubei products sold within two months | products | 20000000 | 69 |
| Satisfaction rate derived from follow-up via PetroChina's customer service hotline 95504 | % | 97.0% | 73 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of QC teams participated in mass quality activities | teams | 10800 | 73 | ||
| Number of aviation fuel production companies passed airworthiness certificate | companies | 25 | 73 | ||
| Number of new brands of chemical products developed | brands | 87 | 73 | ||
| Number of people participated in mass quality activities | people | 187000 | 73 | ||
| Number of quality management contest attendees | people | 35000 | 73 | ||
| Pass rate for third-party certification on quality management system | % | 100% | 73 | ||
| Pass rate of third-party certification of quality management system (%) | % | 100 | 100 | 100 | 76 |
| Tier 1 manufacturers quality management system certification rate (ISO9000) | % | 98.14 | 18 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Number of Supervisory Committee meetings held | meetings | 7 | 15 |
| Number of commercial bribery petition reports received | reports | 124 | 16 |
| Number of concluded corruption lawsuits | 12 | 75 | |
| Number of corruption lawsuits concluded | lawsuits | 12 | 16 |
| Number of resolutions passed by Supervisory Committee | resolutions | 17 | 15 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Coverage rate of compliance training (%) | % | 100 | 75 |
| Interactions with ESG rating agencies and institutional investors | interactions | 38 | 19 |
| Number of Supervisory Committee members | people | 9 | 15 |
| Number of languages Anti-Commercial Bribery Handbook provided in | languages | 6 | 15 |
| Security risk levels adjusted for countries/regions | countries/regions | 13 | 53 |
| Special emergency plans for security of affiliated companies revised | plans | 3 | 53 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of Board meetings held | 9 | 14 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016-2020 | 2020 | Report Pages |
|---|---|---|---|---|
| Beneficiaries of installed gas-use facilities in Shijiazhuang, Xiong'an New District, Shandong and other places | people | 2000000 | 37 | |
| Bills of living supplies distributed to residents in Hubei Province | bills | 10800 | 68 | |
| Copies of COVID-19 prevention and control handbook distributed in Iraq | copies | 15000 | 69 | |
| Designated poverty alleviation and corresponding support tasks in counties (cities or districts) | counties | 15 | 63 | |
| Donation to Hubei Charity Federation | million RMB | 50 | 68 | |
| Five dimensional performance appraisal for enterprises | enterprises | 26 | 53 | |
| Green area supported for local landscaping | hectares | 727.23 | 33 | |
| Number of bronze medals won in company-level and above competitions | 112 | 56 | ||
| Number of counties/districts covered by poverty alleviation projects | counties/districts | 13 | 62 | |
| Number of poverty alleviation projects implemented with CNPC during the 13th Five-Year Plan | projects | 2800 | 6 | |
| Number of provinces (municipalities and autonomous regions) covered by poverty alleviation projects | provinces | 7 | 62 | |
| Number of residents benefited by women's health volunteer project in Rumaila, Iraq | residents | 4000 | 71 | |
| Number of targeted poverty alleviation projects implemented | projects | 84 | 62 | |
| Number of urgent transnational medical evacuations carried out overseas | 4 | 50 | ||
| Number of villages covered by poverty alleviation projects during the 13th Five-Year Plan | villages | 1175 | 6 | |
| Number of villages in Niger where PetroChina drilled water wells | villages | 35 | 72 | |
| Oil products provided for Huoshenshan Hospital at construction site | tons | 26.12 | 68 | |
| Oil products provided for square cabin hospitals | tons | 120.58 | 68 | |
| Poverty alleviation projects implemented | projects | 2800 | 63 | |
| Poverty alleviation tasks designated by local governments, covering villages across the country | villages | 1175 | 63 | |
| Poverty-stricken counties achieved poverty eradication | 100% | 63 | ||
| Vehicles of epidemic fighting supplied with petroleum products in Hubei Province | vehicles | 16900 | 68 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Aggregate sales of cantaloupe by 'Xiaobing Cooperative' | million yuan | 8.6 | 63 | ||
| Average number of homes visited per month by women's health volunteers in Rumaila, Iraq | homes/month | 1000 | 71 | ||
| Bottles of disinfectant hand sanitizer urgently raised | bottles | 500 | 69 | ||
| Contribution to poverty alleviation (RMB 10^4) | RMB 10^4 | 9398 | 13760 | 11954 | 76 |
| Donated an aggregate of anti-epidemic funds and materials | million RMB | 100.01 | 67 | ||
| Donations to disaster relief (RMB 10^4) | RMB 10^4 | 2149 | 2058 | 1172 | 76 |
| Educational donations (RMB 10^4) | RMB 10^4 | 4031 | 2768 | 2656 | 76 |
| Farmers attracted by 'Xiaobing Cooperative' under Baikun Cantaloupe Project | farmers | 110 | 63 | ||
| Medical surgical masks urgently raised | masks | 20000 | 69 | ||
| Medical thermometers urgently raised | thermometers | 20 | 69 | ||
| Number of local villagers benefiting from road construction in Muair Village, Halfaya, Iraq | people | 1500 | 70 | ||
| Number of volunteers selected and recruited for women's health volunteer project in Rumaila, Iraq | volunteers | 43 | 71 | ||
| Produced an aggregate of masks | masks | 140000000 | 67 | ||
| Sets of protective clothing urgently raised | sets | 100 | 69 | ||
| Taxes (RMB 10^8) | RMB 10^8 | 3672 | 3536 | 2812 | 76 |
| Voluntary donation by PetroChina employees for frontline personnel epidemic fight | million RMB | 73.18 | 68 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| NOâ‚“ Emissions | 10^4 tons | 9.66 | 8.9 | 7.76 |
| SOâ‚“ Emissions | 10^4 tons | 10.4 | 9.38 | 8.84 |
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 | 2019 | 2020 | 2025 |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | 10^4 tons of CO2 equivalent | 132.57 | 127.57 | ||
| Indirect Energy Emissions (Scope 2) | 10^4 tons of CO2 equivalent | 41.91 | 39.87 | ||
| Total GHG Emissions | 10^4 tons of CO2 equivalent | 174.08 | 167.44 | ||
| Total GHG Emissions Intensity (By Product Weight) | metric ton of CO2 equivalent/ton | 0.28 | |||
| Total GHG Emissions Intensity (By Unit Product) | kg CO2 equivalent per barrel oil equivalent | 23 | 20 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Ammonia Nitrogen Emissions Reduction Percentage Compared to Last Year | % | -4.5 |
| Reduction in GHG Intensity Compared to Last Year (By Revenue) | % | -25.17 |
| SO2 Emissions Reduction Percentage Compared to Last Year | % | -5.7 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 100 |
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 |
|---|---|---|---|---|
| Natural Gas Consumption | 100 million cubic meters | 2803 | 3067 | 3262 |
| Solar Energy | million kWh | 30 | ||
| Total Electricity Consumption | 10^8 kWh | 542 | 563 | 553 |
| Total Energy Consumption | 10^4 TCE | 8440 | 8703 | 8850 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | m^3 | 80005000 | 79383000 | 76959000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 660 |
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 | 2020 |
|---|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % | -3.01 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Total Investment in Ecological Restoration | RMB 10^4 | 4860 | 4383 | 375 |
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 Total Employees | people | 47620 | 46070 | 43200 |
| Percentage of Bachelor's Degree Employees | % | 32.87 | 33.99 | 34.82 |
| Percentage of Below Junior College Employees | % | 40.14 | 39 | 38.15 |
| Percentage of Employees Aged 30-50 | % | None | None | 88.99000000000001 |
| Percentage of Employees Aged Above 50 | % | None | None | 9.72 |
| Percentage of Employees Aged Below 30 | % | None | None | 1.29 |
| Percentage of Ethnic Minority Employees | % | 6.51 | 6.53 | 6.61 |
| Percentage of Female Employees | % | 29.82 | 28.79 | 27.52 |
| Percentage of Full-time Employees | % | 100 | 100 | 100 |
| Percentage of Master's Degree Employees | % | 3.83 | 4.03 | 4.23 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Total Employees | 0.27 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | person/100 million working hours | 0.14 | 0.07 | 0.08 |
| Number of Fatalities as a Result of Work-related Injuries | persons | 4 | 2 | 2 |
| Number of Work-related Fatalities | persons | 4 | 2 | 2 |
| Work-related Fatalities Rate (By Working Hours) | person/100 million working hours | 0.14 | 0.07 | 0.08 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 9971 | 6150 | 6806 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Health Check Coverage for Employees | % | 99.97 | 99.62 | 99.25 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Operational Employees | % | 100 | 100 | 100 |
| Percentage of Trained Technical Employees | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Training Hours per Employee | hours | 40 |
| Total Training Hours | hours | 14000000 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Total Suppliers | 25420 | 23623 | 23699 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers Certified to ISO 9001 Quality Management System | companies | 17 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | 4223 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Satisfaction Rate of Customer Complaint Handling | % | 97 |
Description of quality assurance process and recall procedures.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 100 | 100 | 100 |
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.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Concluded Corruption Lawsuits | lawsuits | 12 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % | 100 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | RMB | 21490000 | 20580000 | 11720000 |
| Investment in Education Donation | RMB | 40310000 | 27680000 | 26560000 |
| Investment in Targeted Poverty Alleviation | RMB | 93980000 | 137600000 | 119540000 |
| Number of Volunteers among Employees | volunteers | 43 | ||
| Total Cash Donations | RMB | 73180000 |