2020 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 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Greenhouse gas emission (Scope 1 & Scope 2) | Tonnes of CO2e | 8017 | 7729 | 8092 | 9462 | 103 |
Greenhouse gas emission (per m²) | Tonnes of CO2e/m² | 0.072 | 0.105 | 0.102 | 0.108 | 103 |
Greenhouse gas emission intensity (per million business volume) | Tonnes of CO2e/million operating revenue | 3.48 | 2.75 | 2.43 | 2.82 | 103 |
Greenhouse gas emissions intensity, Beijing | Tons of carbon dioxide equivalent/m² | 0.04 | 0.015 | 0.119 | 0.036 | 99 |
Greenhouse gas emissions intensity, Shanghai | Tons of carbon dioxide equivalent/m² | 0.037 | 0.027 | 0.023 | 0.029 | 99 |
Greenhouse gas emissions intensity, Shenzhen | Tons of carbon dioxide equivalent/m² | 0.139 | 0.149 | 0.137 | 0.14 | 99 |
Greenhouse gas emissions, Beijing | Tons of carbon dioxide equivalent | 517 | 281 | 632 | 690 | 99 |
Greenhouse gas emissions, Shanghai | Tons of carbon dioxide equivalent | 205 | 151 | 164 | 207 | 99 |
Greenhouse gas emissions, Shenzhen | Tons of carbon dioxide equivalent | 7295 | 7297 | 7296 | 8565 | 99 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Used and scrap electronic equipment (companywide) | Pcs | 1464 | 3370 | 709 | 1389 | 103 |
Waste Modulator Tube | Pieces | 1663 | 2601 | 1662 | 1146 | 97 |
Waste lamps | Pcs | 1664 | 2809 | 1662 | 1146 | 103 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Office paper usage | Kg | 9310 | 10048 | 20155 | 16699 | 104 |
Waste Electronic Equipment | Pieces | 1464 | 3370 | 709 | 1389 | 97 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Electricity Use Intensity | kWh/m² | 70.59 | 108.03 | 138.71 | 127.2 | 103 |
Electricity on Outsourced Power Grid in Beijing | Kwh | 686484 | 95 | |||
Electricity on Outsourced Power Grid in Shanghai | Kwh | 10184010 | 95 | |||
Electricity on Outsourced Power Grid in Shenzhen | Kwh | 226982 | 95 | |||
Gasoline | Litre | 88412 | 96765 | 51354 | 39893 | 103 |
Gasoline consumption in Beijing | Liter | 10906 | 95 | |||
Gasoline consumption in Shanghai | Liter | 10266 | 95 | |||
Gasoline consumption in Shenzhen | Liter | 18721 | 95 | |||
Outsourced electricity | kWh | 8245821 | 7922658 | 10989715 | 11097476 | 103 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Total water consumption | m³ | 124013 | 115340 | 120044 | 134518 | 103 |
Water used intensity | m³/m² | 1.18 | 1.57 | 1.52 | 1.54 | 104 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Industrial Internet platform test bed construction - mid-term inspection | October 2020 | Passed | 85 |
Open ecological cloud ERP platform - first stage of inspection | July 2020 | Passed | 85 |
Thermal imaging monitoring equipment purchased for park access management | sets | 2 | 63 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|---|---|
Additional days of paid family reunion leave provided to employees | days | 2 | 63 | ||||
Aged 29 and below | Person | 3425 | 3812 | 4496 | 5322 | 105 | |
Aged 30-49 | Person | 3155 | 3899 | 4308 | 5228 | 105 | |
Aged 50 and above | Person | 54 | 66 | 99 | 113 | 105 | |
Associate degree and below | Person | 1409 | 1463 | 1346 | 1279 | 105 | |
Bachelor's Degree | Person | 4793 | 5807 | 6950 | 8624 | 105 | |
Cloud Services Revenue | RMB | 1912385000 | 7 | ||||
Employee housing subsidy per employee | currency | 10000 | 68 | ||||
Employees benefited from housing subsidy | people | 170 | 68 | ||||
Employees on maternity leave, pending maternity leave | Person | 80 | 164 | 74 | 49 | 105 | |
Females | Person | 2267 | 2670 | 3073 | 3594 | 105 | |
Hongkong, Macau & Taiwan | Person | 25 | 28 | 32 | 36 | 105 | |
Jiangxi Copper Corporation Limited ranking in the world's top 500 | rank | 343 | 31 | ||||
Mainland China | Person | 6607 | 7748 | 8869 | 10625 | 105 | |
Males | Person | 4367 | 5107 | 5830 | 7069 | 105 | |
Managerial staff | Person | 1141 | 1303 | 1795 | 1334 | 105 | |
Master's Degree and above | Person | 422 | 507 | 607 | 760 | 105 | |
New hires | people | 3973 | 68 | ||||
Number of employees at Jiangxi Copper Corporation Limited | persons | 24000 | 31 | ||||
Number of employees in Hong Kong, Macau and Taiwan | persons | 36 | 57 | ||||
Number of employees in Mainland China | persons | 10625 | 57 | ||||
Number of employees overseas | persons | 2 | 57 | ||||
Number of employees with bachelor degree | persons | 8624 | 57 | ||||
Number of employees with college education and below | persons | 1279 | 57 | ||||
Number of employees with graduate and above education | persons | 760 | 57 | ||||
Number of female employees | persons | 3594 | 57 | ||||
Number of male employees | persons | 7069 | 57 | ||||
Number of retired employees at Jiangxi Copper Corporation Limited | persons | 16000 | 31 | ||||
Overseas | Person | 2 | 1 | 2 | 2 | 105 | |
Ratio of female employees | % | 34 | 57 | ||||
Ratio of male employees | % | 66 | 57 | ||||
Shuttle buses added to facilitate employees' commuting | buses | 5 | 63 | ||||
Specialty staff | Person | 5493 | 6474 | 7108 | 9329 | 105 | |
Staff back to work after maternity leave | Person, people | 56 | 106 | 54 | 164 | 68, 106 | |
Staff eligible for retirement within next five years | Person | 15 | 25 | 32 | 113 | 106 | |
Staff eligible for retirement within the next five years | people | 25 | 32 | 113 | 68 | ||
Staff employed in this current year | Person | 3101 | 3973 | 106 | |||
Staff employed in this current year, females | Person | 1029 | 1236 | 106 | |||
Staff employed in this current year, males | Person | 2073 | 2737 | 106 | |||
Staff employed in this current year, managerial staff | Person | 262 | 2 | 106 | |||
Staff employed in this current year, specialty staff | Person | 2840 | 3971 | 106 | |||
Staff in maternity leave | people | 164 | 74 | 49 | 68 | ||
Talent housing units granted | units | 40 | 68 | ||||
Total number of employees | Person, persons | 6634 | 7777 | 8903 | 10663 | 7, 57, 105 | |
Yeaan Immigration Class | Ten thousand RMB | 30 | 109 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Employee turnover rate | % | 17.17 | 68 | |
Female employee turnover rate | % | 32 | 68 | |
Male employee turnover rate | % | 68 | 68 | |
Total employee turnover | people | 2211 | 68 | |
Total of employee turnover | Person | 1981 | 2211 | 106 |
Total of employee turnover, females | Person | 626 | 715 | 106 |
Total of employee turnover, males | Person | 1355 | 1496 | 106 |
Total of employee turnover, managerial staff | Person | 133 | 92 | 106 |
Total of employee turnover, specialty staff | Person | 1848 | 2119 | 106 |
Turnover | RMB | 3356445000 | 7 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Deaths while performing duties | Person | 1 | 66 | |||
Number of work-related injury | Times | 1 | 2 | 1 | 107 | |
Work Injuries | Injury | 3 | 2 | 1 | 66 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Days lost due to performing duties | Day | 31 | 30 | 30 | 66 | |
Total number of days lost due to work-related injuries | Day | 31 | 30 | 30 | 107 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Ultraviolet disinfection equipment purchased for staff dining room sterilization | unit | 1 | 63 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Employee morale GPS survey score | 89.42 | 67 | ||||
Employee training satisfaction score | 4.78 | 67 | ||||
Employees received CMA certification through special training | people | 68 | 71 | |||
Featured Special Training | Person-time | 3202 | 107 | |||
Featured Special Training - people trained | people | 3202 | 71 | |||
Job Qualification Training | Person-time | 10119 | 107 | |||
Leadership Training | Person-time | 662 | 107 | |||
Leadership Training - people trained | people | 662 | 71 | |||
New Employee Training | Person-time | 1641 | 107 | |||
New Employee Training - people trained | people | 1641 | 71 | |||
Number of innovation sharing activities conducted | activities | 72 | 74 | |||
Number of outstanding innovation awards given | awards | 5 | 74 | |||
Research on Network Collaborative Manufacturing Integration Technology for 3C Manufacturing Industry Cluster Area - first stage of inspection | July 2020 | Passed | 85 | |||
Tenure Training - people trained | people | 10119 | 71 | |||
Times of female staff training | Person-time | 639 | 1497 | 5005 | 5946 | 107 |
Times of male staff training | Person-time | 1433 | 7784 | 10090 | 9678 | 107 |
Times of managerial staff training | Person-time | 303 | 429 | 1209 | 662 | 107 |
Times of specialty staff training | Person-time | 1769 | 8852 | 13886 | 14962 | 107 |
Total number of online courses conducted (Air Classroom) | courses | 327 | 71 | |||
Total number of people received training | people | 15624 | 71 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Average training hour for female employees | Hour/person | 5.6 | 4.72 | 5.4 | 10.15 | 108 |
Average training hour for male employees | Hour/person | 6.87 | 9.85 | 6.89 | 9.13 | 108 |
Average training hour for managerial staff | Hour/person | 6.42 | 7.38 | 4.71 | 7.92 | 108 |
Average training hour for specialty staff | Hour/person | 6.44 | 8.23 | 6.79 | 9.69 | 108 |
Featured Special Training - training hours | hours | 33621 | 71 | |||
Leadership Training - training hours | hours | 10566.5 | 71 | |||
New Employee Training - training hours | hours | 16558.5 | 71 | |||
Professional staff training hours | hours | 90405 | 71 | |||
Tenure Training - training hours | hours | 40225.5 | 71 | |||
The training Hours per employee | Hour/person | 6.43 | 8.09 | 6.37 | 9.47 | 108 |
Total number of training hours received by all employees | hours | 100972 | 71 | |||
Total times of training | Person-time | 2072 | 9281 | 15095 | 15624 | 107 |
Number of suppliers by geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Number of subsidiaries at Jiangxi Copper Corporation Limited | subsidiaries | 100 | 31 | |||
Number of suppliers by geographical region - China | Entity | 412 | 403 | 420 | 407 | 108 |
Number of suppliers by geographical region - Overseas | Entity | 1 | 1 | 2 | 108 |
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 |
---|---|---|---|
Supply chain collaboration service platform for large manufacturing enterprises - first stage of inspection | July 2020 | Passed | 85 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Client complaints via Complaint Email | 58 | 58 | 11 | 5 | 44 | |
Client complaints via Complaint Hotlines | 5321 | 2602 | 1037 | 587 | 44 | |
Client complaints via Consumer Complaints Platform | 2 | 1 | 44 | |||
Client complaints via Official Letter | 5 | 1 | 2 | 4 | 44 | |
Client complaints via Online Client Service | 3 | 1 | 44 | |||
Client complaints via President Mailbox | 2 | 1 | 44 | |||
Client complaints via Weibo | 10 | 5 | 3 | 44 | ||
Client complaints via Xu Shaochun's Personal Official Account | 66 | 197 | 194 | 44 | ||
Complaints email | Case | 58 | 58 | 11 | 5 | 108 |
Complaints hotline | Case | 5321 | 2602 | 1037 | 587 | 108 |
Customer appreciation letters received through Xu Shaochun Wechat Personal Official Account | letters | 295 | 5 | |||
Electronic pass scanning settings purchased for park access management | sets | 6 | 63 | |||
Guaranteed telephone and online customer service hours per day during epidemic | hours per day | 7+24 | 5 | |||
Number of products and services related complaints received via Consumer complaint platform | Case | 2 | 1 | 109 | ||
Number of products and services related complaints received via Online customer Service | Case | 3 | 1 | 109 | ||
Number of products and services related complaints received via President’s mailbox | Case | 2 | 1 | 109 | ||
Number of products and services related complaints received via Weibo | Case | 10 | 5 | 3 | 109 | |
Number of products and services related complaints received via Xu Saohchun personal official account | Case | 66 | 197 | 194 | 109 | |
Official letter | Case | 5 | 1 | 2 | 4 | 108 |
Satisfaction rate of customers who complained | percent | 95 | 98 | 41 | ||
Total client complaints | 5396 | 2695 | 1252 | 790 | 44 | |
Total complaints | Case | 5396 | 2695 | 1252 | 790 | 108 |
Year-on-year Cloud Revenue growth | % | 45.6 | 7 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Big data-based software intelligence development methods and environments - project acceptance | November 2020 | Passed | 85 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Cross-border Service Quality Management and Value Engineering - acceptance preparation stage | Entered | 85 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Renewal rate of Kingdee Cloud Galaxy | percent | 76 | 85 | 41 |
Secure electronic credentialing services and its key regulatory technologies - acceptance preparation stage | Entered | 85 | ||
Support pilot demonstration of the whole electronic invoicing and service system - mid-term inspection | June 2020 | Passed | 85 |
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 concluded legal cases regarding corrupt practices brought against the issuer or its employees | Person | 23 | 109 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Cloud service rent collected from MSMEs in Hubei Province who use Jingdou Cloud was waived | days | 60 | 93 |
Housing subsidies granted | million | 1.17 | 68 |
Number of participants in Geek Talk innovation sharing | participants | 3202 | 74 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Direct donation through China Siyuan Project Poverty Alleviation Foundation | million RMB | 10 | 5 | |
Inward Donation (Love Charity Fund) | Ten thousand RMB | 5.84 | 19.59 | 109 |
Masks purchased to guarantee employees' return to work travel | pieces | 252640 | 63 | |
Other (COVID-19 pandemic-related donations) | Ten thousand RMB | 1000 | 109 | |
Year-on-year Revenue growth | % | 0.9 | 7 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Total GHG Emissions | tonnes CO2e | 8017 | 7729 | 8092 | 9462 |
Total GHG Emissions Intensity (By Area) | tonnes CO2e/m² | 0.072 | 0.105 | 0.102 | 0.108 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2e/million operating revenue | 3.48 | 2.75 | 2.43 | 2.82 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Hazardous Waste (Electronic and IT Equipment) | Pcs | 1464 | 3370 | 709 | 1389 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Paper Waste | Kg | 9310 | 10048 | 20155 | 16699 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Energy Consumption Intensity (By Area per Year) | kWh/m² | 70.59 | 108.03 | 138.71 | 127.2 |
Gasoline Consumption | Litre | 88412 | 96765 | 51354 | 39893 |
Purchased Electricity | kWh | 8245821 | 7922658 | 10989715 | 11097476 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Water Consumption | m³ | 124013 | 115340 | 120044 | 134518 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Number of Bachelor's Degree Employees | Person | 4793 | 5807 | 6950 | 8624 |
Number of Below Junior College Employees | Person | 1409 | 1463 | 1346 | 1279 |
Number of Employees Aged 30-50 | Person | 3155 | 3899 | 4308 | 5228 |
Number of Employees Aged Above 50 | Person | 54 | 66 | 99 | 113 |
Number of Employees Aged Below 30 | Person | 3425 | 3812 | 4496 | 5322 |
Number of Employees in Hong Kong | Person | 25 | 28 | 32 | 36 |
Number of Employees in Hong Kong and Mainland China | persons | 6632 | 7776 | 8901 | 10661 |
Number of Employees in Mainland China | Person | 6607 | 7748 | 8869 | 10625 |
Number of Employees in Overseas | persons | 2 | 1 | 2 | 2 |
Number of Female Employees | Person | 2267 | 2670 | 3073 | 3594 |
Number of Male Employees | Person | 4367 | 5107 | 5830 | 7069 |
Number of Master's Degree Employees | Person | 422 | 507 | 607 | 760 |
Number of New Employees | people | 3973 | |||
Number of New Employees (Female) | Person | 1236 | |||
Number of New Employees (Male) | Person | 2737 | |||
Number of Total Employees | Person | 6634 | 7777 | 8903 | 10663 |
Percentage of Female Employees | % | 34 | |||
Percentage of Male Employees | % | 66 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Turnover Rate of Female Employees | % | 32 |
Turnover Rate of Male Employees | % | 68 |
Turnover Rate of Total Employees | % | 17.17 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | Person | 1 | |
Number of Fatalities of the Last 3 Years | Person | 1 | 1 |
Number of Work-related Fatalities | Person | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2019 | 2020 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | Day | 31 | 30 | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Percentage of Trained Female Employees | Person-time | 639 | 1497 | 5005 | 5946 |
Percentage of Trained Male Employees | Person-time | 1433 | 7784 | 10090 | 9678 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Average Training Hours (Female) | Hour/person | 5.6 | 4.72 | 5.4 | 10.15 |
Average Training Hours (Male) | Hour/person | 6.87 | 9.85 | 6.89 | 9.13 |
Average Training Hours per Employee | Hour/person | 6.43 | 8.09 | 6.37 | 9.47 |
Total Training Hours | hours | 2072 | 9281 | 15095 | 100972 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Number of Suppliers in Mainland China | Entity | 412 | 403 | 420 | 407 |
Number of Suppliers in Overseas | Entity | 1 | 1 | 2 | |
Number of Total Suppliers | Entity | 413 | 404 | 422 | 407 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Complaint Growth Rate | percent | -50.06 | -53.54 | -36.89 | |
Number of Products and Service Related Complaints | Case | 5396 | 2695 | 1252 | 790 |
Satisfaction Rate of Customer Complaint Handling | percent | 95 | 98 | ||
Total Number of Customer Complaints | Case | 5396 | 2695 | 1252 | 790 |
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 | case | 23 |
Number of Corruption Litigation | case | 23 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Investment in Targeted Poverty Alleviation | Ten thousand RMB | 1000 | |
Total Cash Donations | Ten thousand RMB | 5.84 | 1209.59 |
Total In-kind Donations | pieces | 252640 | |
Total Public Welfare Donations | Ten thousand RMB | 5.84 | 1209.59 |
Total Social Investment | Ten thousand RMB | 5.84 | 1209.59 |