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 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Ammonia nitrogen in wastewater discharge | tonne | 133.68 | 162 | |||||
| COD discharge amount | tonnes | 1404.77 | 92 | |||||
| COD in wastewater discharge | tonne | 1404.77 | 162 | |||||
| Cadmium discharge reduction from total discharge outlet at Guixi Smelter | % | -16.67 | -16.67 | -16.67 | -26.67 | -50.00 | -66.67 | 138 |
| Copper discharge reduction from total discharge outlet at Guixi Smelter | % | -32.95 | -41.48 | -53.22 | -58.71 | -74.24 | -81.82 | 138 |
| Copper in wastewater discharge | tonne | 1.45 | 162 | |||||
| Lead (Pb) discharge amount | tonnes | 1.97 | 92 | |||||
| Lead discharge reduction from total discharge outlet at Guixi Smelter | % | -16.53 | -15.70 | -18.18 | -24.79 | -49.59 | -64.46 | 138 |
| Lead in wastewater discharge | tonne | 1.97 | 162 | |||||
| Nitrogen oxide in exhaust emission | tonne | 42.54 | 162 | |||||
| Smoke in exhaust emission | tonne | 209.75 | 162 | |||||
| Sulfur dioxide in exhaust emission | tonne | 1453.5 | 162 | |||||
| Zinc (Zn) discharge amount | tonnes | 2.42 | 92 | |||||
| ammonia nitrogen discharge amount | tonnes | 133.68 | 92 | |||||
| copper (Cu) discharge amount | tonnes | 1.45 | 92 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Greenhouse gas emission density | Tonnes of CO2 equivalent / RMB 10000 income | 0.069 | 163 |
| Greenhouse gas emissions (scope 1) | Tonnes of CO2 equivalent | 282245451 | 163 |
| Greenhouse gas emissions (scope 2) | Tonnes of CO2 equivalent | 1922007380 | 163 |
| Greenhouse gas emissions (scope I) | Tonnes of CO2 equivalent | 282245.451 | 99 |
| Greenhouse gas emissions (scope II) | Tonnes of CO2 equivalent | 1922207.38 | 99 |
| Greenhouse gas emissions density | Tonnes of CO2 equivalent/ten thousand yuan of operating income | 0.0699 | 99 |
| Total amount of greenhouse gas emission | kilotonnes of carbon dioxide equivalent | 2204.25 | 10 |
| Total greenhouse gas emissions | Tonnes of CO2 equivalent | 2204252831 | 99, 163 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Copper processing products production | million tonnes | 1.4712 | 10 |
| Hazardous waste from smelting | 10000 tonnes | 368.46 | 97, 162 |
| Mine waste mineral oil | 10000 tonnes | 0.06 | 162 |
| Used oil from mines (hazardous waste) | 10000 tonnes | 0.06 | 97 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Amount of tailings comprehensively used (non-hazardous waste) | 10000 tonnes | 698.46 | 97 |
| Amount of tailings disposed (non-hazardous waste) | 10000 tonnes | 4990.45 | 97 |
| Comprehensive utilization of tailings | 10000 tonnes | 698.46 | 162 |
| Silver production | tonnes | 1126.39 | 10 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Arsenic discharge reduction from total discharge outlet at Guixi Smelter | % | -50.00 | -31.91 | -56.38 | -71.81 | -71.81 | -88.83 | 138 |
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 |
|---|---|---|---|
| Tailings disposal capacity | 10000 tonnes | 4990.45 | 162 |
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 |
|---|---|---|---|---|---|
| Coal consumption (direct energy) | tonne | 6466880 | 162 | ||
| Comprehensive energy consumption | Tonne of standard coal | 596903475 | 162 | ||
| Comprehensive energy consumption of copper smelting | kg of standard coal/tonne | 154.85 | 10 | ||
| Diesel oil consumption (direct energy) | tonne | 55289350 | 162 | ||
| Electricity consumption (headquarters building) | kWh | 2837287 | 2394579 | 2427045 | 121 |
| Electricity consumption of sulphuric acid in Guixi Smelter after SOâ‚‚ wind turbine renovation | kWh | 162058500 | 106 | ||
| Energy consumption of comparable output value | tonnes of standard coal/RMB10000 | 0.0935 | 10 | ||
| Energy consumption per unit | Tonne of standard coal/RMB10000, tonnes of standard coals/RMB ten thousand | 0.0935 | 103, 162 | ||
| Energy structure - Coal | Percentage | 0.083 | 103 | ||
| Energy structure - Diesel oil | Percentage | 13.49 | 103 | ||
| Energy structure - Electric power | Percentage | 72.507 | 103 | ||
| Energy structure - Gasoline | Percentage | 0.086 | 103 | ||
| Energy structure - Heavy oil | Percentage | 2.88 | 103 | ||
| Energy structure - Natural gas | Percentage | 7.274 | 103 | ||
| Energy structure - Vapour | Percentage | 3.673 | 103 | ||
| Fuel oil consumption (direct energy) | tonne | 1692560 | 162 | ||
| Gasoline consumption (direct energy) | tonne | 346.996 | 162 | ||
| Natural gas consumption (direct energy) | cubic metre | 32646960 | 162 | ||
| Overall energy consumption of copper smelting | kilograms of standard coals per tonne | 154.85 | 103 | ||
| Purchased electricity (indirect energy consumption) | Megawatt hour | 3521594390 | 162 | ||
| Steam consumption (comprehensive energy consumption) | tonnes | 238495880 | 162 | ||
| Total energy consumption | tonnes of standard coal, tonnes of standard coals | 596900 | 10, 103 | ||
| Year-on-year decrease in comprehensive energy consumption of copper smelting | % | 0.21 | 10 | ||
| Year-on-year decrease in electricity consumption of sulphuric acid in Guixi Smelter after SOâ‚‚ wind turbine renovation | % | 1.78 | 106 | ||
| Year-on-year decrease in energy consumption of comparable output value | % | 0.45 | 10 | ||
| Year-on-year decrease in total energy consumption | % | 3.3 | 10 | ||
| Year-on-year increase in cathode copper production | % | 5.54 | 10 | ||
| Year-on-year increase in copper processing products production | % | 22.89 | 10 | ||
| Year-on-year increase in gold production | % | 56.68 | 10 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2015 | 2015–2020 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Industrial water reuse rate of Guixi Smelter | % | 97.5 | 97.62 | 97.74 | 97.91 | 98.58 | 99.01 | 137 | |
| Intensity of water consumption | Tonne/RMB10000, tonne/RMB10000 | 26.28 | 92, 162 | ||||||
| New water consumption | 00'000 tonnes, 10000 tonnes | 5026 | 92, 162 | ||||||
| Total water consumption | 00'000 tonnes, 10000 tonnes | 83713 | 92, 162 | ||||||
| Total water displacement | 00'000 tonnes | 5427 | 92 | ||||||
| Water consumption (headquarters building) | tonne | 64865 | 34447 | 22447 | 121 | ||||
| Water recycling efficiency | % | 95.67 | 162 | ||||||
| Water saving (ton) | ton | 2506396 | 24707025 | 2165333 | 2151555 | 3157684 | 6425908 | 8283299 | 140 |
| Zinc in wastewater discharge | tonne | 2.42 | 162 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2016-2020 | 2020 | Report Pages |
|---|---|---|---|---|
| Accumulated energy saving during 13th Five-Year Plan | tonnes of standard coal | 42771.82 | 103 | |
| Electric power saved by SOâ‚‚ wind turbine renovation in Guixi Smelter | kWh | 3165200 | 106 | |
| Energy saving (calculated based on comparable prices) | tonnes of standard coals | 2596.76 | 103 | |
| Energy saving (compared to comparable price) | tonnes of standard coal | 2596.76 | 10 | |
| Energy saving calculated based on comparable prices | Tonne of standard coal | 2596760 | 162 | |
| Energy saving target completion rate (provincial government) | 151.14% | 103 | ||
| Number of energy-saving transformation-related projects completed | projects | 16 | 105 |
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 | 2015 | 2015–2020 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Cumulative reduction in purified water use at Guixi Smelter since 2014 | m³ | 24700000 | 137 | ||||||
| Increase in industrial water reuse rate at Guixi Smelter compared to 2014 | % | 1.97 | 137 | ||||||
| Saved water fee (ten thousand yuan) | ten thousand yuan | 30.08 | 296.4 | 25.98 | 25.82 | 37.89 | 77.11 | 99.52 | 140 |
| Water cycle utilization rate | % | 95.67 | 92 | ||||||
| Water resources circulation rate | % | 95.67 | 10 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Consumption of wood frames | Tonne | 13338 | 163 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2016 | 2017 | 2018 | 2018-2020 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| 4# dams of tailings ponds (100m-120m) | hectare | 4.3 | 118 | |||||
| 4# dams of tailings ponds (90m) | hectare | 2 | 118 | |||||
| Absolute performance benchmark determined by the Company | % | 4.5 | 76 | |||||
| Cathode copper production | million tonnes | 1.6425 | 10 | |||||
| Ecological greening in the east of waste dump of Yangtaowu | hectare | 1.5 | 118 | |||||
| Ecological greening of Shuilongshan slope | hectare | 4.8 | 118 | |||||
| Ecological greening of slope above 320 of Nanpingshan | hectare | 4.2 | 118 | |||||
| Ecological greening of ungreened area in the upper part of Shuilongshan | hectare | 6.5 | 118 | |||||
| Ecological greening of waste dump above 230 of Yangtaowu | hectare | 14.8 | 118 | |||||
| Ecological greening of waste dump road of waste rock belt tape | hectare | 1 | 118 | |||||
| Ecological reclamation area of mining enterprises | hectares | 847 | 10 | |||||
| Ecological restoration of 5# tailing ponds | hectare | 14.1 | 118 | |||||
| Gold production | tonnes | 78.59 | 10 | |||||
| Local ecological restoration of waste dump of Yangtaowu | hectare | 4 | 118 | |||||
| Networking with provincial tailings online monitoring platform | 11 | 164 | ||||||
| New safety production standardization certificate | 2 | 164 | ||||||
| Open space of smelting enterprises afforested | % | 100 | 10 | |||||
| Proportion of reclaimed wasteland restored | more than 80% | 10 | ||||||
| Recovery rate of wood frame | % | 70 | 163 | |||||
| Released self-management achievements of all units | term | 1877 | 164 | |||||
| Slope above 530 of Guanmashan | hectare | 4.8 | 118 | |||||
| Slope of Batian No.2 Plant | hectare | 0.4 | 118 | |||||
| Slope of west side of 500 waste dump in Fujiawu Mining Area | hectare | 13.5 | 118 | |||||
| Surrounding area of the spectator platform | hectare | 2.4 | 118 | |||||
| Total investment in environmental protection | million RMB | 329 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2020 | Report Pages |
|---|---|---|---|---|
| Age - 25 and below - Number of employees | person | 1531 | 164 | |
| Age - 26–35 - Number of employees | person | 5483 | 164 | |
| Age - 36–45 - Number of employees | person | 5075 | 164 | |
| Age - 46–55 - Number of employees | person | 9208 | 164 | |
| Age - 56 and above - Number of employees | person | 3534 | 164 | |
| Division by region - Outside Jiangxi Province - Number of employees | person | 6782 | 164 | |
| Division by region - Within Jiangxi Province - Number of employees | person | 18409 | 164 | |
| Education background - Bachelor's degree - Number of employees | person | 4276 | 164 | |
| Education background - Diploma - Number of employees | person | 4835 | 164 | |
| Education background - Doctoral degree - Number of employees | person | 36 | 164 | |
| Education background - High school and below - Number of employees | person | 13750 | 164 | |
| Education background - Master's degree - Number of employees | person | 399 | 164 | |
| Education background - Technical secondary school - Number of employees | person | 1535 | 164 | |
| Employee social insurance coverage | % | 100 | 163 | |
| Employment Type - Full-time - Number of employees | person | 24831 | 164 | |
| Jiangxi May 1st Labor Medal | person | 1 | 164 | |
| Labor contract signing rate | % | 100 | 11, 62, 163 | |
| May 1st Women's Model in Jiangxi Province | person | 1 | 164 | |
| Number of Jiangxi May 1 ST Labor Medal awarded | award | 1 | 71 | |
| Number of Jiangxi Technical Experts awarded | award | 18 | 71 | |
| Number of Jiangxi Young Post Experts awarded | award | 14 | 71 | |
| Number of company-level sports events held | events | 17 | 74 | |
| Number of competition target values completed in labor competition 'stabilizing growth, improving quality and turning energy' | target values | 29 | 71 | |
| Number of employees | person, persons | 24831 | 11, 163 | |
| Number of employees (Female) | person | 3698 | 163 | |
| Number of employees (Male) | person | 21133 | 163 | |
| Number of employees aged 25 and below | person | 1531 | 62 | |
| Number of employees aged 26–35 | person | 5483 | 62 | |
| Number of employees aged 36–45 | person | 5075 | 62 | |
| Number of employees aged 46–55 | person | 9208 | 62 | |
| Number of employees aged 56 and above | person | 3534 | 62 | |
| Number of employees outside Jiangxi Province | person | 6782 | 62 | |
| Number of employees with bachelor's degree | person | 4276 | 62 | |
| Number of employees with diploma | person | 4835 | 62 | |
| Number of employees with doctoral degree | person | 36 | 62 | |
| Number of employees with high school and below education | person | 13750 | 62 | |
| Number of employees with master's degree | person | 399 | 62 | |
| Number of employees with technical secondary school education | person | 1535 | 62 | |
| Number of employees within Jiangxi Province | person | 18049 | 62 | |
| Number of female employees | person | 3698 | 62 | |
| Number of full-time employees | person | 24831 | 62 | |
| Number of male employees | person | 21133 | 62 | |
| Number of new employees in 2020 | person | 1418 | 62 | |
| Operating revenue | billion RMB | 1381.563 | 10 | |
| Outstanding graduates introduced from well-known universities at home and abroad | persons | 46 | 67 | |
| Outstanding management achievements commended by the Company | achievements | 42 | 67 | |
| Outstanding projects selected in the third 'Double Creation' All-staff Efficiency Award | projects | 148 | 67 | |
| Per capita income of villagers in Qujiang Village | RMB | 4600 | 9000 | 153 |
| Percentage of female employees | % | 14.89 | 11 | |
| Proportion of employees joining trade union | % | 100 | 163 | |
| Proportion of female employees | % | 14.89 | 163 | |
| Social insurance coverage rate | % | 100 | 11, 62 | |
| Technical experts in Jiangxi Province | person | 18 | 164 | |
| Technical experts of national nonferrous metal industry | person | 6 | 164 | |
| Total - Number of employees | person | 24831 | 164 | |
| Total number of competition target values in labor competition 'stabilizing growth, improving quality and turning energy' | target values | 38 | 71 | |
| Total number of employees (person) | person | 24831 | 62 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Age - 25 and below - Loss of employees | person | 243 | 164 |
| Age - 26–35 - Loss of employees | person | 318 | 164 |
| Age - 36–45 - Loss of employees | person | 190 | 164 |
| Age - 46–55 - Loss of employees | person | 387 | 164 |
| Age - 56 and above - Loss of employees | person | 671 | 164 |
| Division by region - Outside Jiangxi Province - Loss of employees | person | 800 | 164 |
| Division by region - Within Jiangxi Province - Loss of employees | person | 1009 | 164 |
| Education background - Bachelor's degree - Loss of employees | person | 233 | 164 |
| Education background - Diploma - Loss of employees | person | 289 | 164 |
| Education background - Doctoral degree - Loss of employees | person | 6 | 164 |
| Education background - High school and below - Loss of employees | person | 1029 | 164 |
| Education background - Master's degree - Loss of employees | person | 25 | 164 |
| Education background - Technical secondary school - Loss of employees | person | 227 | 164 |
| Loss of employees (Female) | person | 388 | 163 |
| Loss of employees (Male) | person | 1421 | 163 |
| Total - Loss of employees | person | 1809 | 164 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Average monthly injury rate per 1000 persons | % | 0.06 | 171, 192 |
| Death rate of workers | % | 0.003 | 164 |
| Monthly average injury rate of 1000 people | % | 0.06 | 164 |
| Number of work deaths | Person | 1 | 77 |
| Work death rate | Percentage | 0.003 | 77 |
Lost days due to work injury.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Loss time and injury frequency rate per a million working hours (LTIF) | % | 0.38 | 164 | |
| Loss time rate per million working hours (LTIF) | Percentage | 0.38 | 0.38 | 77 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Amount paid for security and solatium in mutual aid security plan | RMB | 2251900 | 75 |
| Carry out company-level safety inspection | time | 5 | 164 |
| Investment in work safety | million RMB | 392 | 11 |
| Number of new work safety standardization certificates issued | 2 | 11 | |
| Number of safety production standardization certificates | certificates | 41 | 78 |
| Number of safety training sessions | sessions | 193 | 11 |
| Number of secondary safety production standardization certificates | certificates | 31 | 78 |
| Number of tertiary safety production standardization certificates | certificates | 4 | 78 |
| Occupational health and safety management system certification (GB/T 45001-2020/ISO45001:2018) | certified | 78 | |
| Person time of safety training | Person-time | 8859 | 164 |
| Safety production invest | 100 million | 3.92 | 164 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| High-end research team established (doctors and masters) | persons | 90 | 67 |
| Number of R&D and innovation projects | 19 | 57 | |
| Number of R&D and research projects (including final projects and phased achievements) | 111 | 57 | |
| Number of people awarded honorary title of Technical Experts in Nonferrous Metals Industry | people | 6 | 71 |
| Number of people involved in safety training | persons | 8859 | 11 |
| Number of people participated in online answering activities | 400000 | 75 | |
| Number of people participated in team discussions | 18740 | 75 | |
| Number of people participated in training and job training at all levels | people | 3000 | 71 |
| Number of senior management trainees | person | 10 | 164 |
| Number of trained employees by employee type - General staff | person | 18303 | 69 |
| Number of trained employees by employee type - Middle management (such as department manager) | person | 130 | 69 |
| Number of trained employees by employee type - Senior management | person | 10 | 69 |
| Number of trained employees by gender - Female employee | person | 2582 | 69 |
| Number of trained employees by gender - Male employee | person | 15861 | 69 |
| Number of trainees of general staff | person | 18303 | 164 |
| Safety training | session | 193 | 164 |
| Total number of trainees | person | 18443 | 69, 164 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Average hours of training per employee by employee type - General staff | hours | 39.7 | 69 |
| Average hours of training per employee by employee type - Middle management (such as department manager) | hours | 160.6 | 69 |
| Average hours of training per employee by employee type - Senior management | hours | 239.1 | 69 |
| Average hours of training per employee by gender - Female employee | hours | 40.7 | 69 |
| Average hours of training per employee by gender - Male employee | hours | 40.7 | 69 |
| Average training hours of general staff | hour | 39.7 | 164 |
| Average training hours of senior management | hour | 239.1 | 164 |
| Benchmarking methods and tools training time | hours | 18 | 52 |
| Efficiency of outstanding projects in the third 'Double Creation' All-staff Efficiency Award | million RMB | 69.12 | 67 |
| Measurement process control and technical training time | hours | 16 | 52 |
| Quality, safety, environment and energy system internal auditor forensics class training time | hours | 40 | 52 |
| Total average hours | hours | 40.7 | 69 |
| Total average training hours | hour | 40.7 | 164 |
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 |
|---|---|---|---|
| Presided over formulation and revision of national, industrial and group standards | standards | 13 | 122 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Customer satisfaction of cathode copper | 94.67 | 57 | |
| Customer satisfaction of copper rod and wire | 89 | 57 | |
| Customer satisfaction of copper sulfate | 90.63 | 57 | |
| Customer satisfaction of industrial sulfuric acid | 92.95 | 57 | |
| Customer satisfaction of silver | 93.64 | 57 | |
| Increase in JCC's annuity income index compared to the general benchmark of the annuity industry | % | 5.93 | 76 |
| JCC's annuity income index | % | 10.43 | 76 |
| Year-on-year decrease in net profit attributable to the parent company | % | 5.92 | 10 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2020 | 2021 | Report Pages |
|---|---|---|---|---|
| Number of JCC trademarks with Madrid international registration in the United Kingdom and the European Union | trademarks | 3 | 30 | |
| Number of authorized patents | 95 | 57 | ||
| Number of invention patents | 9 | 57 | ||
| Participation in formulation of international standards: General requirements on jewellery and precious metals such as gold ingots | standard | 1 | 122 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of QC groups won the honor of 2020 Excellent Quality Management Group in Nonferrous Metal Industry | group | 8 | 53 |
| Number of QC groups won the honor of 2020 Excellent Quality Management Group of Jiangxi Province | group | 24 | 53 |
| Number of QC groups won the honor of 2020 Excellent Quality Management Group of the Company | group | 33 | 53 |
| Number of QC groups won the honor of 2020 National Excellent Quality Management Group | group | 1 | 53 |
| Number of QC groups won the honor of 2020 National Quality Trustworthy Group | group | 1 | 53 |
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 company announcements issued | announcements | 165 | 23 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Special legal training activities organized (including 7th Five-Year Plan, Millions of netizens study law, Foreign Investment Law, Special study competition, online legal knowledge learning and examination, special lectures on Civil Code and Anti-Monopoly Law) | Yes | 28 | |
| Special training on Anti-monopoly Law conducted | Yes | 28 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Capital assistance for shares in Qujiang Village agricultural cooperative | million RMB | 2 | 153 | ||
| Collective economic income of Qujiang Village | million RMB | 14 | 153 | ||
| Collective economy of Qujiang Village | RMB | 500000 | 153 | ||
| Constitution Publicity Week activity held | Yes | 28 | |||
| Number of cultural and sports activities held by secondary units | activities | 120 | 74 | ||
| Number of excellent prizes won at the second online art festival of Jiangxi Province | prizes | 2 | 74 | ||
| Number of exhibition boards and photographs collected | 200 | 75 | |||
| Number of low-income households and family members receiving pandemic living allowance | households | 22 | 75 | ||
| Number of outstanding students in college entrance examination rewarded | students | 41 | 75 | ||
| Number of second prizes won at the second online art festival of Jiangxi Province | prizes | 4 | 74 | ||
| Number of shareholders' meetings held | meetings | 5 | 23 | ||
| Number of third prizes won at the second online art festival of Jiangxi Province | prizes | 2 | 74 | ||
| Total displacement | 10000 tonnes | 5427 | 162 | ||
| Total investment in poverty alleviation | million RMB | 16.7 | 148 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2020 | Report Pages |
|---|---|---|---|---|
| Amount allocated to visit and sympathize with employees who fought in the front line of anti-pandemic | RMB | 428000 | 75 | |
| Amount of difficulties subsidies and solatium distributed during 'two festivals' | RMB | 1735000 | 75 | |
| Amount of reward for outstanding students in college entrance examination | RMB | 176000 | 75 | |
| Amount of solatium distributed by Workers' Medical Mutual Aid Association | RMB | 887700 | 75 | |
| Amount subsidized to employees to participate in mutual aid security plan | RMB | 1090000 | 75 | |
| Enterprise annuity rate of return | % | 10.43 | 163 | |
| Increase in investment in poverty alleviation over 2019 | million RMB | 0.48 | 148 | |
| Increase in unit canteen and employee welfare procurement for poverty alleviation over 2019 | 87.82% | 148 | ||
| Independent management achievements released by secondary units | achievements | 1877 | 67 | |
| Investment in agricultural machinery cooperative in Qujiang Village | million RMB | 0.3 | 153 | |
| Investment in poverty alleviation | million RMB | 8.27 | 11, 148 | |
| Number of employees who fought in the front line of anti-pandemic visited | employees | 420 | 75 | |
| Number of households and model workers with difficulties visited during 'two festivals' | households | 1254 | 75 | |
| Number of participants in cultural and sports activities | participants | 17033 | 74 | |
| Number of people consoled by Workers' Medical Mutual Aid Association | people | 246 | 75 | |
| Number of person-times benefited from mutual aid security plan | person-times | 399 | 75 | |
| Pandemic living allowance paid to low-income households and family members | RMB | 44000 | 75 | |
| Pandemic living allowance period | months | 4 | 75 | |
| Unit canteen and employee welfare procurement for poverty alleviation | million RMB | 4.82 | 148 | |
| Year-on-year increase in silver production | % | 74.14 | 10 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 209.75 |
| NOâ‚“ Emissions | tonne | 42.54 |
| SOâ‚“ Emissions | tonne | 1453.5 |
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 | 2020 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes of CO2 equivalent | 282245451 |
| Indirect Energy Emissions (Scope 2) | Tonnes of CO2 equivalent | 1922007380 |
| Total GHG Emissions | Tonnes of CO2 equivalent | 2204252831 |
| Total GHG Emissions Intensity (By Revenue) | Tonnes of CO2 equivalent/ten thousand yuan of operating income | 0.0699 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Hazardous Waste | 10000 tonnes | 368.52 |
| Total Hazardous Waste Intensity (By Unit Product) | 10000 tonnes per 10000 tonnes product | 0.2505 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Non-Hazardous Waste Disposed | 10000 tonnes | 4990.45 |
| Non-Hazardous Waste Recycled | 10000 tonnes | 698.46 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|---|
| None | None | None | None | None | None | None |
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 | 2020 |
|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | tonnes of standard coal/RMB10000 | 0.0935 |
| Comprehensive Energy Consumption Intensity (By Unit Product) | kg of standard coal/tonne | 154.85 |
| Diesel Fuel Consumption | tonne | 55289350 |
| Energy Consumption Intensity (By Revenue) | tonnes of standard coal/RMB10000 | 0.0935 |
| Energy Consumption Intensity (By Unit Product) | kg of standard coal/tonne | 154.85 |
| Gasoline Consumption | tonne | 346.996 |
| Natural Gas Consumption | cubic metre | 32646960 |
| Purchased Electricity | Megawatt hour | 3521594390 |
| Total Energy Consumption | tonnes of standard coal | 596903.475 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Recycled Water Percentage | % | 95.67 | ||
| Total Wastewater Discharge | tonne | 54270000 | ||
| Total Water Consumption | tonne | 837130000 | ||
| Total Water Withdrawal | tonne | 837130000 | ||
| Water Consumption Intensity (By Revenue) | tonne/RMB10000 | 26.28 | ||
| Water Consumption in Office | tonne | 64865 | 34447 | 22447 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2016-2020 | 2020 |
|---|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 3165200 | |
| Number of Energy-saving and Carbon Reduction Demonstration Projects Achieved | projects | 16 | |
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 151.14 |
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 |
|---|---|
| Wastewater Reduction Percentage Compared to Last Year | % |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Usage of Packaging Materials (Wood) | Tonne | 13338 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Bachelor's Degree Employees | person | 4276 |
| Number of Below Junior College Employees | person | 13750 |
| Number of Doctoral Degree Employees | person | 36 |
| Number of Employees Aged 30-50 | person | 14283 |
| Number of Employees Aged Above 50 | person | 3534 |
| Number of Employees Aged Below 30 | person | 7014 |
| Number of Female Employees | person | 3698 |
| Number of Full-time Employees | person | 24831 |
| Number of Male Employees | person | 21133 |
| Number of Master's Degree Employees | person | 399 |
| Number of New Employees | person | 1418 |
| Number of Total Employees | person | 24831 |
| Percentage of Female Employees | % | 14.89 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Bachelor's Degree Employees | person | 233 |
| Turnover Rate of Below Junior College Employees | person | 1545 |
| Turnover Rate of Doctoral Degree Employees | person | 6 |
| Turnover Rate of Employees Aged 30-50 | person | 895 |
| Turnover Rate of Employees Aged Above 50 | person | 671 |
| Turnover Rate of Employees Aged Below 30 | person | 561 |
| Turnover Rate of Female Employees | person | 388 |
| Turnover Rate of Male Employees | person | 1421 |
| Turnover Rate of Master's Degree Employees | person | 25 |
| Turnover Rate of Total Employees | person | 1809 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Work-related Fatalities | Person | 1 |
| Work-related Fatalities Rate | Percentage | 0.003 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per million working hours | 0.38 | 0.38 |
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 | 392 |
| Number of People Receiving Training on Work Safety | Person-time | 8859 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of Trained Female Employees | ratio | 0.13999891557772598 |
| Percentage of Trained General Employees | ratio | 0.9924090440817654 |
| Percentage of Trained Male Employees | ratio | 0.8600010844222741 |
| Percentage of Trained Middle Management | ratio | 0.007048744781217807 |
| Percentage of Trained Senior Management | ratio | 0.0005422111370167543 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Training Hours (Female) | hours | 40.7 |
| Average Training Hours (General Staff) | hours | 39.7 |
| Average Training Hours (Male) | hours | 40.7 |
| Average Training Hours (Middle Management) | hours | 160.6 |
| Average Training Hours (Senior Management) | hours | 239.1 |
| Average Training Hours per Employee | hours | 40.7 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Proportion of Spending on Local Suppliers | % |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Invention Patents | 9 | |
| Number of Patents Granted | 95 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Anti-corruption Training Session | session | 1 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2016 | 2020 |
|---|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 0.48 | |
| Total Social Investment | million RMB | 0.3 |