CORPORATE SOCIAL RESPONSIBILITY REPORT (ENVIRONMENTAL SOCIAL AND GOVERNANCE REPORT) 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Nitrogen oxides emissions reduced by green credit business | million tons | 2.58 | 97 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Annual carbon emissions reduction (Head Office of the Bank) | % | 1 | 114 |
| GHG emissions per capita (Tons of carbon dioxide equivalent/person) | Tons of carbon dioxide equivalent/person | 4.76 | 119 |
| Per capita GHG emissions | tCO2/p | 4.76 | 218 |
| Scope 1: Direct GHG emissions | tCO2 | 212583.03 | 218 |
| Scope 1: Direct GHG emissions (Tons of carbon dioxide equivalent) | Tons of carbon dioxide equivalent | 212583.03 | 119 |
| Scope 2: Indirect GHG emissions | tCO2 | 1998863.4 | 218 |
| Scope 2: Indirect GHG emissions (Tons of carbon dioxide equivalent) | Tons of carbon dioxide equivalent | 1998863.4 | 119 |
| Total GHG emissions (Scope 1 + Scope 2) | tCO2 | 2211446.43 | 218 |
| Total GHG emissions (Tons of carbon dioxide equivalent) | Tons of carbon dioxide equivalent | 2211446.43 | 119 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Ammonia nitrogen reduced by green credit business | tons | 20000 | 97 | ||
| CO2 equivalent emission reduction | 9554 | 9783 | 12895 | 16 | |
| Carbon dioxide emissions reduced by green credit business | million tons | 128.95 | 97 | ||
| Chemical oxygen demand (COD) reduced by green credit business | tons | 270000 | 97 | ||
| Number of carbon emissions reduction loan projects issued by the Bank | 1266 | 101 | |||
| Sulfur dioxide emissions reduced by green credit business | million tons | 2.92 | 97 | ||
| Total carbon emissions reduced by the Bank's carbon emissions reduction loans | million tons | 45.38 | 101 | ||
| Total carbon emissions reduction loans issued by the Bank | billion RMB | 176 | 101 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Balance of green credit business | RMB billion | 4048.7 | 97, 201 |
| Balance of green leasing assets (ABC Financial Leasing Co., Ltd.) | RMB billion | 68.77 | 103 |
| Balance of green projects investment | RMB million | 41422 | 103 |
| Comprehensive energy consumption | MWh | 4527060.91 | 218 |
| Diesel oil consumption | t | 1494.6 | 218 |
| Electric energy consumption | MWh | 2936975.269 | 218 |
| Electricity consumption (MW·h) | MW·h | 2936975.269 | 119 |
| Gasoline consumption | t | 30389.93 | 218 |
| Gasoline consumption (Tons) | Tons | 30389.93 | 119 |
| Liquefied petroleum gas consumption | t | 1918.19 | 218 |
| Liquefied petroleum gas consumption (Tons) | Tons | 1918.19 | 119 |
| Natural gas consumption | m3 | 24233750.36 | 218 |
| Natural gas consumption (Cubic meters) | Cubic meters | 24233750.36 | 119 |
| Per capita comprehensive energy consumption | MWh/p | 9.74 | 218 |
| Per capita electric energy consumption | MWh/p | 6.319 | 218 |
| Per capita natural gas consumption | m3/p | 52.14 | 218 |
| Purchased heat | GJ | 2944603.65 | 218 |
| Use of electricity per capita (MW·h/person) | MW·h/person | 6.319 | 119 |
| Use of natural gas per capita (Cubic meters/person) | Cubic meters/person | 52.14 | 119 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Water saved by green credit business | million tons | 136.69 | 97 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Standard coal saved by green credit business | million tons | 54.88 | 97 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Combined time-point size of green-themed investment funds (ABC-CA Fund Management Co., Ltd.) | RMB million | 10857 | 102 | ||
| Cumulative investment in green projects (proprietary funds) | RMB million | 50304 | 103 | ||
| Green bonds underwritten (Tranche) | Tranche | 27 | 56 | 31 | 17 |
| High-standard farmland funded for construction (11 provinces) | million mu | 13 | 4 | ||
| Incremental increase in green credit business balance | RMB billion | 1351.2 | 97 | ||
| New net green investment (ABC Life Insurance Co., Ltd.) | RMB million | 682 | 103 | ||
| Number of bank outlets at an elevation of at least 4800 meters | outlets | 18 | 48 | ||
| Number of bank outlets situated above 3500 meters altitude | outlets | 505 | 48 | ||
| Number of green bond tranches underwritten | 31 | 6 | |||
| Number of green outlets constructed (Agricultural Bank of China) | outlets | 1380 | 117 | ||
| Year-on-year increase in balance of green projects investment | percent | 23.4 | 103 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Number of enterprises with ESG rating labels (Zhejiang Branch) | enterprises | 2000 | 97 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Balance of loans to ethnic minority areas (RMB 100 million) | RMB 100 million | 10635.71 | 12201.92 | 14492.14 | 18 |
| County-level employees (Person) | Person | 187710 | 187652 | 187506 | 18 |
| Number of bank outlets within 2 kilometers of the borderline | outlets | 48 | 48 | ||
| Number of care rooms for female employees built or upgraded | 83 | 157 | |||
| Number of employees (Person) | Person | 455174 | 452258 | 451003 | 18 |
| Overseas employees (Person) | Person | 726 | 752 | 787 | 18 |
| Percentage of county bank outlets out of total outlets | % | 56.4 | 48 | ||
| Shareholders’ dividends (RMB 100 million) | RMB 100 million | 723.76 | 777.66 | 808.11 | 16 |
| Shareholders’ equity (RMB 100 million) | RMB 100 million | 24213.59 | 26737.60 | 28968.67 | 16 |
| Total assets | RMB 100 million, RMB million | 290691.55 | 339254.88 | 398729.89 | 9, 15 |
| Total loans and advances to customers | RMB 100 million, RMB million | 171750.73 | 197638.27 | 226146.21 | 9, 15 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Attendance at compliance lectures, warning education activities, and themed training sessions (full coverage of institutions and personnel) | persons | 4526000 | 86 |
| Cumulative number of people trained on psychological guidance via ABC e-Learning platform | million people | 3.4 | 157 |
| Employee training coverage | % | 99.23 | 151 |
| Employee training coverage by employee type (Staff from institutions below tier-2 branches) | % | 99.12 | 151 |
| Employee training coverage by employee type (Staff from tier-2 branches or above) | % | 99.62 | 151 |
| Employee training coverage by gender (Female) | % | 99.15 | 151 |
| Employee training coverage by gender (Male) | % | 99.29 | 151 |
| Number of outstanding young employees selected and included in the talent pool (front line) | employees | 3900 | 148 |
| Number of training seminars conducted (10000) | 10000 | 1.79 | 151 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Average length of employee training | Hours | 132 | 151 |
| Average length of employee training (Male) | Hours | 124 | 151 |
Number of suppliers by geographical region.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Amount of funds raised from green bonds underwritten | RMB 100 million | 440 | 666 | 285 | 17 |
| Balance of 'Enrich the People Loan' targeting areas lifted out of poverty | billion RMB | 40 | 4 | ||
| Balance of 'Enrich the People Loans' | billion RMB | 40.4 | 35 | ||
| Balance of agriculture-related loans (RMB 100 million) | RMB 100 million | 47570 | 55306 | 65502 | 18 |
| Balance of green credit | RMB | 4 trillion | 6 | ||
| Balance of green credit (RMB 100 million) | RMB 100 million | 19778 | 26975 | 40487 | 16 |
| Balance of inclusive loans extended by the Bank | trillion RMB | 3.5 | 50 | ||
| Balance of inclusive loans extended to small and micro enterprises | trillion RMB | 2.46 | 56 | ||
| Balance of inclusive loans for small and micro enterprises (RMB 100 million) | RMB 100 million | 13220 | 17690 | 24583 | 18 |
| Balance of loans extended by the Bank in 832 counties out of poverty | trillion RMB | 2.01 | 35 | ||
| Balance of loans extended by the Bank in the manufacturing sector | trillion RMB | 2.95 | 50 | ||
| Balance of loans extended to private enterprises | trillion RMB | 5.45 | 56 | ||
| Balance of loans for farmers | trillion RMB | 1 | 4 | ||
| Balance of loans for rural industries | trillion RMB | 1.84 | 23 | ||
| Balance of loans for strategic emerging industries | trillion RMB | 2 | 5 | ||
| Balance of loans granted to areas related to the supply of grain and other important agricultural products | billion RMB | 844.5 | 4 | ||
| Balance of loans granted to county areas | trillion RMB | 8.78 | 4 | ||
| Balance of loans granted to key areas of food production | billion RMB | 283.1 | 4 | ||
| Balance of loans in the area of inclusive finance | trillion RMB | 3.5 | 5 | ||
| Balance of loans to manufacturing sector | trillion RMB | 2.95 | 5 | ||
| Balance of manufacturing loans extended by Guangdong Branch | RMB billion | RMB 82.4 billion | 51 | ||
| Balance of manufacturing loans extended by Hunan Branch | RMB million | RMB 54264 million | 51 | ||
| Balance of medium- and long-term manufacturing loans extended by Guangdong Branch | RMB billion | RMB 43.4 billion | 51 | ||
| Growth rate of balance of loans extended by the Bank in 832 counties out of poverty | % | 18.7 | 35 | ||
| Growth rate of green credit business | % | 50.09 | 201 | ||
| Growth rate of green credit business balance | % | 50.09 | 97 | ||
| Increase in balance of loans extended by the Bank in the manufacturing sector from previous year | billion RMB | 651.5 | 50 | ||
| Increase in balance of loans for rural industries compared with previous year | billion RMB | 447.9 | 23 | ||
| Increase in number of customers with loans (small and micro enterprises) compared with previous year | customers | 1009000 | 56 | ||
| Loans extended by Sichuan Branch in support of distinctive industrial clusters | billion RMB | 32.4 | 23 | ||
| Number of county bank outlets | outlets | 12700 | 48 | ||
| Number of county-level branch outlets | 12627 | 12663 | 12773 | 17 | |
| Number of domestic branches | 22807 | 22788 | 22843 | 17 | |
| Number of green-themed investment funds (ABC-CA Fund Management Co., Ltd.) | 2 | 102 | |||
| Number of new agricultural business entities benefited by Sichuan Branch loans | 28200 | 23 | |||
| Outstanding loans to private enterprises | trillion RMB | 5.45 | 5 | ||
| Total loans to western regions (RMB 100 million) | RMB 100 million | 37490.92 | 42475.85 | 49140.35 | 18 |
| Total number of suppliers | 431 | 457 | 435 | 18 | |
| Year-on-year growth of green credit balance | % | 50.1 | 6 | ||
| Year-on-year growth rate of balance of manufacturing loans extended by Guangdong Branch | % | 39% | 51 | ||
| Year-on-year growth rate of balance of manufacturing loans extended by Hunan Branch | % | 41.21% | 51 | ||
| Year-on-year growth rate of balance of medium- and long-term manufacturing loans extended by Guangdong Branch | % | 49% | 51 | ||
| Year-on-year increase in balance of loans for farmers | % | 45.1 | 4 | ||
| Year-on-year increase in balance of loans granted to county areas | % | 19.8 | 4 | ||
| Year-on-year increase in balance of loans granted to key areas of food production | % | 59.3 | 4 | ||
| Year-on-year increase in balance of loans in the area of inclusive finance | % | 37 | 5 | ||
| Year-on-year increase in balance of loans to manufacturing sector | % | 28 | 5 | ||
| Year-on-year increase in green debt-to-equity swap as percentage of debt-to-equity swap assets | percentage points | 5.5 | 103 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Green debt-to-equity swap as percentage of debt-to-equity swap assets | percent | 36.6 | 103 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Annualized interest rate of newly-issued inclusive loans (small and micro enterprises) | % | 3.67 | 56 | ||
| Corporate online financial service platform users | users | 12.09 million | 116 | ||
| Decrease in annualized interest rate of newly-issued inclusive loans compared with previous year | BP | 23 | 56 | ||
| Increase in corporate online financial service platform users from previous year | users | 1.42 million | 116 | ||
| Non-performing loan (NPL) ratio (%) | % | 1.43 | 1.37 | 1.33 | 16 |
| Number of ESG-themed wealth management products (Agricultural Bank of China Wealth Management Co., Ltd.) | 50 | 102 | |||
| Number of customers with loans (small and micro enterprises) | customers | 3538000 | 56 | ||
| Number of customers with loans extended by the Bank in the manufacturing industry | 485000 | 50 | |||
| Number of monthly active mobile banking users | persons | 213 million | 7 | ||
| Number of monthly active users in Mobile Banking Application in county areas | users | 95230000 | 48 | ||
| Number of personal customer complaints registered and classified through all channels of the Bank | cases | 212000 | 143 | ||
| Number of personal customers | persons | 867 million | 7 | ||
| Number of remote townships reached by financial service vehicles | townships | 1054 | 48 | ||
| Return on weighted average net assets (%) | % | 11.57 | 11.29 | 10.91 | 16 |
| Transactions frozen (Bank-wide) | transactions | 1081700 | 88 | ||
| Value of goods sold produced by Liangshan Prefecture | RMB million | 26.75 | 40 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Increase in registered personal online banking users from previous year | users | 46 million | 116 |
| Number of registered customers in Mobile Banking Application in county areas | customers | 229000000 | 48 |
| Number of registered mobile banking customers | persons | 512 million | 7 |
| Registered personal online banking users | users | 490 million | 116 |
| Total time-point size of ESG-themed wealth management products (Agricultural Bank of China Wealth Management Co., Ltd.) | RMB billion | 36.9 | 102 |
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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Amount involved in suspicious illegal fund-raising transactions | RMB billion | 58.8 | 89 | ||
| Amount involved in transactions related to organized crime | RMB million | 120 | 89 | ||
| Capital adequacy ratio | % | 17.14 | 9 | ||
| Capital adequacy ratio (%) | % | 17.13 | 17.20 | 17.14 | 16 |
| Cases confirmed for return of defrauded funds (Bank-wide) | cases | 15504 | 88 | ||
| Cases reported directly to local public security departments (Bank-wide) | cases | 1878 | 88 | ||
| Key suspicious transactions reported externally (Bank-wide) | transactions | 3714 | 88 | ||
| Number of deals involved in suspicious illegal fund-raising transactions | deals | 530000 | 89 | ||
| Number of individual customers involved in suspicious transactions related to organized crime | customers | 66 | 89 | ||
| Number of suspicious illegal fund-raising transactions monitored, detected, and reported by the Bank | transactions | 1309 | 89 | ||
| Number of suspicious transactions related to organized crime reported by the Bank | transactions | 40 | 89 | ||
| Number of transactions related to organized crime | transactions | 582 | 89 | ||
| Total amount of defrauded funds returned (Bank-wide) | million RMB | 507 | 88 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Amount involved in frozen transactions (Bank-wide) | million RMB | 7791 | 88 |
| Anti-fraud risk tips sent out (Bank-wide) | million tips | 47.43 | 88 |
| Clues transferred to other governmental departments (Bank-wide) | clues | 59 | 88 |
| Clues transferred to public security departments (Bank-wide) | clues | 417 | 88 |
| Copies of anti-fraud publicity materials distributed (Bank-wide) | copies | 900000 | 88 |
| Inquiries into transactions assisted for public security departments (Bank-wide) | transactions | 23896400 | 88 |
| Publicity activities conducted for anti-fraud campaign (Bank-wide) | activities | 190000 | 88 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of compliance lectures, warning education activities, and themed training sessions carried out by institutions at all levels and lines | sessions | 79500 | 86 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Assessment rating for rural revitalization (Excellent, highest level) | Excellent | 5 | |||
| Balance of loans to 832 counties lifted out of poverty | trillion RMB | 2 | 4 | ||
| Commendations received from regulatory authorities, judicial organs, and other administrations (Bank-wide) | commendations | 163 | 88 | ||
| Funds earmarked for building or upgrading care rooms for female employees | million RMB | 1 | 157 | ||
| Investment invited in five counties receiving paired assistance | million RMB | 470 | 38 | ||
| Number of 'Health Express for Mothers' vans purchased | vans | 28 | 7 | ||
| Number of 'Health Express for Mothers' vehicles purchased and donated (2013-present) | vehicles | 130 | 168 | ||
| Number of administrative villages served by Gedang Sub-branch in Motuo, Tibet | villages | 15 | 48 | ||
| Number of assistance projects introduced by Ningbo Branch in Liangshan Prefecture | projects | 21 | 40 | ||
| Number of consumers reached by financial education and publicity activities (online and offline) | persons | 1.03 billion | 7 | ||
| Number of counties (cities) receiving 'Health Express for Mothers' vehicles (2013-present) | counties/cities | 106 | 168 | ||
| Number of films told to the visually impaired by volunteers | films | 104 | 7 | ||
| Number of inclusive small and micro enterprise loan customers | million | 3 | 5 | ||
| Number of key counties designated to receive support for rural revitalization | counties | 160 | 40 | ||
| Number of new outlet workers’ homes built | 6271 | 157 | |||
| Number of newly built independent functional areas in outlet workers’ homes | 5710 | 157 | |||
| Number of newly built integrated functional areas in outlet workers’ homes | 561 | 157 | |||
| Number of officials dispatched to work in towns and villages for rural development | officials | 3500 | 5 | ||
| Number of outlet workers’ homes upgraded | 2722 | 157 | |||
| Number of provinces covered by 'Health Express for Mothers' program (2013-present) | provinces | 14 | 168 | ||
| Number of public welfare volunteer activities participated in | activities | 15000 | 7 | ||
| Number of special group members served with door-to-door services | persons | 250000 | 7 | ||
| Number of trips made to the countryside with financial services | trips | 170000 | 48 | ||
| Number of visually impaired people directly benefited by 'My Voice, Your Eyes' volunteer service activity for the blind (2013-present) | people | 9800 | 168 | ||
| Number of words of audio books recorded by 'My Voice, Your Eyes' volunteer service activity for the blind (2013-present) | words | 1000000 | 168 | ||
| People covered by anti-fraud publicity activities (Bank-wide) | million people | 41.46 | 88 | ||
| Percentage of counties with 'Hui Nong Tong' service stations in 160 key counties for rural revitalization | % | 89.1 | 99.6 | 100 | 17 |
| Size of self-operated green bonds | billion RMB | 144.34 | 6 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Annual increase of personal consumer loans | RMB | RMB 147.1 billion | 7 | ||
| Assistance projects invited in five counties receiving paired assistance | 54 | 38 | |||
| Credit funds extended to five counties receiving paired assistance | billion RMB | 7.6 | 38 | ||
| Increase in balance of green leasing assets (ABC Financial Leasing Co., Ltd.) | RMB million | 13638 | 103 | ||
| Increase in balance of inclusive loans extended by the Bank from previous year | billion RMB | 949.5 | 50 | ||
| Increase in balance of inclusive loans to small and micro enterprises compared with previous year | RMB | 689328000 | 56 | ||
| Increase in balance of inclusive loans to small and micro enterprises compared with previous year (percentage) | % | 39 | 56 | ||
| Non-reimbursable and reimbursable assistance funds introduced in five counties receiving paired assistance | million RMB | 470 | 38 | ||
| Non-reimbursable assistance funds introduced by Ningbo Branch in Liangshan Prefecture | RMB | 110600 | 40 | ||
| Non-reimbursable assistance funds invested in five counties receiving paired assistance | million RMB | 66.22 | 38 | ||
| Number of BBQ e-Loan loans extended by Zibo Branch to local barbecue industry | loans | 513 | 56 | ||
| Number of county-level administrative areas receiving assistance | areas | 1169 | 40 | ||
| Number of farmer households benefited by 'Enrich the People Loans' | 420000 | 35 | |||
| Number of farmers and herdsmen served by Gedang Sub-branch in Motuo, Tibet | people | 3000 | 48 | ||
| Number of managerial personnel sent to provide assistance in county-level administrative areas | persons | 3526 | 40 | ||
| Number of movies with audio descriptions provided by 'My Voice, Your Eyes' volunteer service activity for the blind (2013-present) | movies | 104 | 168 | ||
| Number of people served by financial service vehicles in remote townships | people | 231000 | 48 | ||
| Number of staff sent to local governments to provide assistance for rural revitalization | persons | 1116 | 40 | ||
| Number of volunteer service hours provided by 'My Voice, Your Eyes' volunteer service activity for the blind (2013-present) | hours | 10200 | 168 | ||
| Number of volunteer teams organized | teams | 3751 | 7 | ||
| Percentage growth in loans granted to high-tech manufacturing enterprises | % | 42.7 | 50 | ||
| Percentage increase in balance of inclusive loans extended by the Bank from previous year | % | 37 | 50 | ||
| Reimbursable assistance funds introduced by Ningbo Branch in Liangshan Prefecture | RMB | 197000000 | 40 | ||
| Social contribution per share | RMB | 2.56 | 2.92 | 3.3 | 17 |
| Social contribution value per share | RMB | 3.3 | 9 | ||
| Taxes | RMB million | 97694 | 9 | ||
| Total Huinong Cards issued | 10000 | 23543 | 23411 | 23510 | 17 |
| Total amount of donations (domestic, excluding employee donations) | RMB 10000 | 10060 | 10717 | 11175 | 17 |
| Total county-level financial business loans and advances (RMB 100 million) | RMB 100 million | 62183.12 | 73283.36 | 87759.53 | 18 |
| Total tax (RMB 100 million) | RMB 100 million | 992.27 | 1137.77 | 976.94 | 16 |
| Total value of BBQ e-Loan loans extended by Zibo Branch to local barbecue industry | million RMB | 68.93 | 56 | ||
| Value of agricultural products purchased and sold from poverty alleviation areas | RMB billion | 2.11 | 40 |
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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 212583.03 | ||
| Indirect Energy Emissions (Scope 2) | tCO2e | 1998863.4 | ||
| Total GHG Emissions | tCO2e | 9554 | 9783 | 2211446.43 |
| Total GHG Emissions Intensity (By Employee) | tCO2e/person | 4.76 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Hazardous Waste (Used Batteries) | Tons |
| Hazardous Waste Disposed | Tons |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Paper Waste | Tons |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Ammonia Nitrogen Emissions Reduction Compared to Last Year | tons | 20000 |
| CO2 Emissions Reduction Compared to Last Year | million tons | 128.95 |
| SO2 Emissions Reduction Compared to Last Year | million tons | 2.92 |
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 | 2023 |
|---|---|---|
| Comprehensive Energy Consumption Intensity (By Employee) | MWh/p | 9.74 |
| Diesel Fuel Consumption | t | 1494.6 |
| Energy Consumption Intensity (By Employee) | MWh/p | 9.74 |
| Gasoline Consumption | t | 30389.93 |
| LPG Consumption | t | 1918.19 |
| Natural Gas Consumption | m3 | 24233750.36 |
| Purchased Electricity | MWh | 2936975.269 |
| Purchased Heating | GJ | 2944603.65 |
| Total Electricity Consumption Intensity (By Employee) | MWh/p | 6.319 |
| Total Energy Consumption | MWh | 4527060.91 |
| Total Indirect Energy Consumption | MWh | 2936975.269 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Wastewater Discharge | Tons | 1769440.79 |
| Water Consumption | Tons | 2081695.05 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 86441 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Material Intensity (By Employee) | KG/person |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Investment in Ecological Restoration | RMB million | 50304 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Investment in Climate Change Management | AUD million | 200 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | Person | |||
| Number of Below Junior College Employees | Person | |||
| Number of Doctoral Degree Employees | Person | |||
| Number of Employees Aged 30-50 | Person | |||
| Number of Employees Aged Above 50 | Person | |||
| Number of Employees Aged Below 30 | Person | |||
| Number of Employees in Overseas | Person | 726 | 752 | 787 |
| Number of Female Employees | Person | |||
| Number of Male Employees | Person | |||
| Number of Master's Degree Employees | Person | |||
| Number of Total Employees | Person | 455174 | 452258 | 451003 |
| Percentage of Bachelor's Degree Employees | % | |||
| Percentage of Below Junior College Employees | % | |||
| Percentage of Doctoral Degree Employees | % | |||
| Percentage of Employees Aged 30-50 | % | |||
| Percentage of Employees Aged Above 50 | % | |||
| Percentage of Employees Aged Below 30 | % | |||
| Percentage of Female Employees | % | |||
| Percentage of Master's Degree Employees | % |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Total Employees | % |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit |
|---|---|
| Number of Work-related Fatalities | Person |
| Work-related Fatalities Rate | % |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | Day |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Health Check Coverage for Employees | % |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % | 99.23 |
| Percentage of Trained Female Employees | % | 99.15 |
| Percentage of Trained Male Employees | % | 99.29 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (Female) | Hours | 141 |
| Average Training Hours (Male) | Hours | 124 |
| Average Training Hours per Employee | Hours | 132 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Number of Total Suppliers | 431 | 457 | 435 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Number of Customer Complaints | cases | 212000 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Anti-corruption Training Session | sessions | 79500 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Number of Volunteer Activities Sessions | sessions | 3751 | ||
| Total Public Welfare Donations | RMB | 100600000 | 107170000 | 111750000 |
| Total Volunteer Service Hours | hours | 10200 |