2019 Environmental, Social and Governance 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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Greenhouse gas emission intensity (CO2 equivalent - ton/ten thousand revenue) (scope 1 & 2 only) | ton/ten thousand revenue | 0.24 | 0.05 | 32 |
| Greenhouse gas emissions (CO2 equivalent - ton) (scope 1 only) | ton CO2 equivalent | 116766 | 15142 | 32 |
| Greenhouse gas emissions (CO2 equivalent - ton) (scope 2 only) | ton CO2 equivalent | 6410 | 7544 | 32 |
| Greenhouse gas emissions (CO₂ equivalent - ton) (scope 1 only) | ton | 116766 | 15142 | 55 |
| Greenhouse gas emissions (CO₂ equivalent - ton) (scope 1+ scope 2) | ton | 123176 | 22686 | 55 |
| Greenhouse gas emissions (CO₂ equivalent - ton) (scope 2 only) | ton | 6410 | 7544 | 55 |
| Greenhouse gas emissions intensity (CO₂ equivalent - ton/ten thousand revenue) (scope 1 & 2 only) | ton/ten thousand revenue | 0.24 | 0.05 | 55 |
| Total Greenhouse gas emissions (CO2 equivalent - ton) (scope 1 + scope 2) | ton CO2 equivalent | 123176 | 22686 | 32 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Batteries | piece | 194 | 65 | 31, 56 |
| Fluorescent tubes | piece | 1104 | 423 | 31, 56 |
| Hazardous wastes intensity | piece/ten thousand revenue | 0.0036 | 0.0042 | 31 |
| Other hazardous waste & density | piece/ten thousand revenue | 0.0036 | 0.0042 | 56 |
| Printer cartridges | piece | 560 | 1322 | 31, 56 |
| Used engine oil | kg | 2616 | 4683 | 31, 56 |
| Used engine oil intensity | kg/ten thousand revenue | 0.0051 | 0.01 | 31, 56 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Used paper | ton | 4.03 | 16.39 | 56 |
| Used paper (ton) | ton | 4.03 | 16.39 | 32 |
| Used paper intensity by weight | ton/ten thousand revenue | 0.0000079 | 0.0000038 | 56 |
| Used paper intensity by weight (ton/ten thousand revenue) | ton/ten thousand revenue | 0.0000079 | 0.0000038 | 32 |
| Used tyres | piece | 517 | 359 | 56 |
| Used tyres (piece) | piece | 517 | 359 | 32 |
| Used tyres intensity | piece/ten thousand revenue | 0.001 | 0.0008 | 56 |
| Used tyres intensity (piece/ten thousand revenue) | piece/ten thousand revenue | 0.001 | 0.0008 | 32 |
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 | Report Pages |
|---|---|---|---|---|
| Diesel | L | 44030130 | 5670471 | 34, 55 |
| Natural gas | m³ | 51512 | 36710 | 34, 55 |
| Outsourced electricity | MWh | 10573 | 8527 | 34, 55 |
| Total energy consumption | MWh | 451159 | 66027 | 34, 55 |
| Total energy consumption intensity | MWh/ten thousand revenue | 0.88 | 0.15 | 34, 55 |
| Unleaded gasoline | L | 754981 | 145722 | 34, 55 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Waste water discharge | m³ | 274184 | 219646 | 56 |
| Waste water discharge (m³) | m³ | 274184 | 219646 | 32 |
| Waste water discharge intensity | m³/ten thousand revenue | 0.54 | 0.51 | 56 |
| Waste water discharge intensity (m³/ten thousand revenue) | m³/ten thousand revenue | 0.54 | 0.51 | 32 |
| Water consumption | m³ | 304649 | 253394 | 35, 55 |
| Water consumption intensity | m³/ten thousand revenue | 0.6 | 0.58 | 35, 55 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average decrease in fuel consumption from fuel detergent project incubation | 6.15% | 34 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| ISO 14000 and ISO 18000 certifications completed | completed | 22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Employees age 35 and below | 2994 | 2993 | 57 | |
| Employees age 36-50 | 4512 | 2331 | 57 | |
| Employees age 51 and above | 419 | 688 | 57 | |
| Female employees | 1641 | 1912 | 57 | |
| Male employees | 6284 | 4100 | 57 | |
| Managers | 199 | 198 | 57 | |
| Operators | 6123 | 4362 | 57 | |
| Specialists | 1603 | 1452 | 57 | |
| Total employees | 7925 | 6012 | 57 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate: Age 35 and below | 1.92% | 19.95% | 57 | |
| Employee turnover rate: Age 36-50 | 3.88% | 12.34% | 57 | |
| Employee turnover rate: Age 51 and above | 7.89% | 49.42% | 57 | |
| Employee turnover rate: Female | 3.06% | 21.93% | 57 | |
| Employee turnover rate: Male | 3.33% | 15.96% | 57 | |
| Employee turnover rate: Managers | 63.14% | 2.94% | 57 | |
| Employee turnover rate: Operators | 1.90% | 19.37% | 57 | |
| Employee turnover rate: Specialists | 0.55% | 10.87% | 57 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of work injuries (time) | time | 5 | 28, 57 |
Lost days due to work injury.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Lost day due to general work injury (day) | day | 176 | 28, 57 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2016 | 2017 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Certification of OHSAS18001 international system | obtained | 22 | |||
| Establishment of QHSE (Quality, Health, Safety and Environment) lean management system | established | 22 | |||
| Investment in safety management | million RMB | 6.259 | 23 | ||
| Number of Production Safety Committee members | members | 29 | 22 | ||
| Safety management certification training for principals and safety officers - passing rate | percent | 100% | 26 | ||
| Special operation personnel examination - passing rate | percent | 100% | 26 | ||
| Total safety education and training hours for all employees | hours | 2510 | 26 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Decrease rate of team level forms | % | 43.6 | 11 | ||
| Management training plan completion rate | 100% | 18 | |||
| Number of Quality Job Knowledges and Skills and knowledge handbooks published | handbooks | 16 | 18 | ||
| Number of business line training sessions planned and carried out | times | 20 | 18 | ||
| Number of business training sessions in quality safety classroom | times | 30 | 18 | ||
| Number of team level forms standardized and reduced | 24 | 11 | |||
| Number of teams involved in annual star lean team appraisal in Chongqing | teams | 59 | 23 | ||
| Overall coverage of quality management training | 100% | 18 | |||
| Special equipment management and operation personnel examination - passing rate | percent | 100% | 26 | ||
| Special examination for team leaders - passing rate | percent | 100% | 26 | ||
| Staff training - Chairman, General Managers, Deputy General Managers participants (person-time) | person-time | 46 | 65 | 42 | 58 |
| Staff training - Directors participants (person-time) | person-time | 1855 | 631 | 982 | 58 |
| Staff training - Managers participants (person-time) | person-time | 6061 | 3905 | 1867 | 58 |
| Staff training - Operators participants (person-time) | person-time | 78231 | 64873 | 699099 | 58 |
| Staff training - Specialists participants (person-time) | person-time | 36188 | 42418 | 31161 | 58 |
| Staff training - Total participants (person-time) | person-time | 122381 | 111892 | 133151 | 58 |
| Total number of electronic procedures in use | 134 | 11 | |||
| Total number of trainees in safety education and training | person-times | 114808 | 26 | ||
| Training coverage during Quality Month | over 90% | 18 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Staff training - Chairman, General Managers, Deputy General Managers training hours | hours | 227 | 556 | 444 | 58 |
| Staff training - Directors training hours | hours | 7549 | 1262 | 2866 | 58 |
| Staff training - Managers training hours | hours | 12091 | 5578 | 5446 | 58 |
| Staff training - Operators training hours | hours | 212909 | 160158 | 150131 | 58 |
| Staff training - Specialists training hours | hours | 90270 | 78159 | 53154 | 58 |
| Staff training - Total training hours | hours | 323046 | 245713 | 212041 | 58 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of active online procedures stabilized | 134 | 11 | |||
| Number of suppliers - Central China (Henan, Hubei, Hunan) | 32 | 33 | 26 | 58 | |
| Number of suppliers - East China (Shandong, Jiangsu, Anhui, Shanghai, Zhejiang, Jiangxi, Fujian) | 282 | 312 | 369 | 58 | |
| Number of suppliers - Hong Kong, Macao and Taiwan | 7 | 7 | 7 | 58 | |
| Number of suppliers - North China (Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia) | 109 | 120 | 180 | 58 | |
| Number of suppliers - Northeast China (Heilongjiang, Jilin, Liaoning) | 73 | 82 | 47 | 58 | |
| Number of suppliers - Northwest (Shaanxi, Gansu, Ningxia, Qinghai, Xinjiang) | 1 | 1 | 58 | ||
| Number of suppliers - Overseas | 2 | 58 | |||
| Number of suppliers - South China (Guangdong, Guangxi, Hainan) | 17 | 19 | 33 | 58 | |
| Number of suppliers - Southwest (Sichuan, Guizhou, Yunnan, Chongqing, Xizang) | 326 | 470 | 785 | 58 | |
| Total number of suppliers | 846 | 1044 | 1450 | 58 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Number of standardization discussions and review meetings carried out | meetings | 20 | 16 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Client satisfaction survey result | % | 93.32 | 95.38 | 96.18 | 58 |
| Number of customer complaints received | 48 | 23 | 8 | 58 | |
| Number of general non-conformance items proposed in March 2019 audits | items | 4 | 18 | ||
| Number of general non-conformance items proposed in May 2019 QHSE system audit | items | 8 | 18 | ||
| Number of on-site consultations conducted during Quality Month | consultations | 2 | 18 | ||
| Number of online procedure instances completed | 15692 | 11 | |||
| Year-on-year decrease of computerized procedure instances (minutes) | minutes | 160 | 11 | ||
| Year-on-year decrease of forms of all levels | 227 | 11 | |||
| Year-on-year decrease of forms of company level | 10 | 11 | |||
| Year-on-year decrease rate of forms of all levels | % | 32 | 11 | ||
| Year-on-year decrease rate of forms of company level | % | 9.5 | 11 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Approval procedure optimization rate | % | 30.58 | 11 |
| Number of QOS implementation standards established and implemented | 200 | 16 | |
| Number of internal system audits, process audits, and product audits organized | audits | 16949 | 18 |
| Number of manuals distributed during Quality Month | manuals | 500 | 18 |
| Number of operation manuals released | manuals | 244 | 16 |
| Number of optimized management structure procedures | procedures | 12 | 16 |
| Number of procedure documents released | documents | 179 | 16 |
| Number of procedures computerized | 60 | 11 | |
| Number of procedures optimized | 201 | 11 | |
| Number of system documents for the Nansha project exported | documents | 71 | 16 |
| Number of system documents released | documents | 538 | 16 |
| Number of system documents standardized | documents | 19 | 16 |
| Number of systemic documents abolished | documents | 129 | 16 |
| Number of systemic documents in use in total | documents | 4256 | 16 |
| Number of systemic review procedures unified | procedures | 10 | 16 |
| Number of typical quality cases and quality risk cases explained during Quality Month | cases | 10 | 18 |
| On-site participation during Quality Month | person-times | 200 | 18 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Publicity coverage of Quality Month Special Issue | 100% | 18 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Audit ratio for star lean team appraisal in Chongqing | percent | no less than 30 | 23 |
| Number of approval procedures after optimization | 380 | 11 | |
| Number of approval scenes to be approved by leaders at company level and above | 225 | 11 | |
| Number of approval scenes to be approved by leaders at director level | 149 | 11 | |
| Number of approval scenes to be approved by leaders at manager level | 29 | 11 | |
| Number of key matters refined in approval procedures | 291 | 11 | |
| Number of management measures released | measures | 115 | 16 |
| Number of rectification and optimization systems of the party committee inspection system completed | systems | 34 | 16 |
| Number of suggestions for improvement proposed in March 2019 audits | suggestions | 40 | 18 |
| Number of suggestions for improvement proposed in May 2019 QHSE system audit | suggestions | 70 | 18 |
| Procedure execution efficiency improvement | % | 8.38 | 11 |
| Year-on-year increase of systemic documents in use | 14.5% | 16 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of standing posts produced during Quality Month | standing posts | 6 | 18 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Funds invested in public welfare | RMB | 1000000 | 600000 | 760000 | 58 |
| Number of Quality Month Special Issue published | issues | 23 | 18 | ||
| Number of banners produced and distributed during Quality Month | banners | 30 | 18 | ||
| Number of quality consultation service points set up during Quality Month | service points | 3 | 18 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton CO2 equivalent | 116766 | 15142 |
| Indirect Energy Emissions (Scope 2) | ton CO2 equivalent | 6410 | 7544 |
| Total GHG Emissions | ton CO2 equivalent | 123176 | 22686 |
| Total GHG Emissions Intensity (By Revenue) | ton/ten thousand revenue | 0.24 | 0.05 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Hazardous Electronic Waste | piece | 1120 | 1745 |
| Hazardous Waste (Used Batteries) | piece | 388 | 130 |
| Total Hazardous Waste Intensity (By Revenue) | piece/ten thousand revenue | 0.0051 | 0.0042 |
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 |
|---|---|---|---|
| Paper Waste | ton | 4.03 | 16.39 |
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/ten thousand revenue | 0.0000079 | 0.0000038 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | L | 44030130 | 5670471 |
| Energy Consumption Intensity (By Revenue) | MWh/ten thousand revenue | 0.88 | 0.15 |
| Gasoline Consumption | L | 754981 | 145722 |
| Natural Gas Consumption | m³ | 51512 | 36710 |
| Purchased Electricity | MWh | 10573 | 8527 |
| Total Energy Consumption | MWh | 451159 | 66027 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Total Wastewater Discharge | m³ | 274184 | 219646 |
| Total Water Withdrawal | m³ | 304649 | 253394 |
| Wastewater Discharge Intensity | m³/ten thousand revenue | 0.54 | 0.51 |
| Water Consumption | m³ | 304649 | 253394 |
| Water Consumption Intensity (By Revenue) | m³/ten thousand revenue | 0.6 | 0.58 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % | 6.15 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Employees Aged 30-50 | persons | 4512 | 2331 |
| Number of Employees Aged Above 50 | persons | 419 | 688 |
| Number of Female Employees | persons | 1641 | 1912 |
| Number of Male Employees | persons | 6284 | 4100 |
| Number of Total Employees | persons | 7925 | 6012 |
| Percentage of Female Employees | percent | 20.71 | 31.81 |
| Percentage of Male Employees | percent | 79.33 | 68.19 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Turnover Rate of Female Employees | % | 3.06 | 21.93 |
| Turnover Rate of Male Employees | % | 3.33 | 15.96 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Lost Days Due to Work-related Injuries | day | 352 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Work Safety | million RMB | 6.259 |
| Total Hours of Safety Training for Employees | hours | 2510 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Training Hours | hours | 323046 | 245713 | 212041 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Suppliers in Central China | 32 | 33 | 26 | |
| Number of Suppliers in East China | 282 | 312 | 369 | |
| Number of Suppliers in Hong Kong | 7 | 7 | 7 | |
| Number of Suppliers in North China | 109 | 120 | 180 | |
| Number of Suppliers in Northeast China | 73 | 82 | 47 | |
| Number of Suppliers in Northwest China | 1 | 1 | ||
| Number of Suppliers in Overseas | 2 | |||
| Number of Suppliers in South China | 17 | 19 | 33 | |
| Number of Suppliers in Southwest China | 326 | 470 | 785 | |
| Number of Total Suppliers | 846 | 1044 | 1450 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Complaint Growth Rate | % | -52.08 | -65.22 | |
| Total Number of Customer Complaints | 48 | 23 | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Public Welfare Donations | RMB | 1000000 | 600000 | 760000 |
| Total Social Investment | RMB | 1000000 | 600000 | 760000 |