2019 CSR Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| NOx emissions at the Head Office | tons | 2.0317 | 110 |
| PM emissions at the Head Office | tons | 0.1678 | 110 |
| SOx emissions at the Head Office | tons | 0.0182 | 110 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Direct greenhouse gas emissions by the Head Office | tons of CO₂ equivalent | 3398.78 | 108 |
| Greenhouse gas emissions per capita by the Head Office | tons of CO2e per capita (9145 persons) | 8.7049 | 108 |
| Indirect greenhouse gas emissions by the Head Office | tons of CO₂ equivalent | 76207.95 | 108 |
| Total greenhouse gas emissions by the Head Office | tons of CO₂ equivalent | 79606.73 | 108 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Laptop electronic waste discharge from the Head Office | piece | 543 | 110 |
| Laptop electronic waste discharge per capita from the Head Office | piece/person | 0.1881 | 110 |
| Printer electronic waste discharge from the Head Office | piece | 128 | 110 |
| Printer electronic waste discharge per capita from the Head Office | piece/person | 0.0444 | 110 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Display electronic waste discharge from the Head Office | piece | 317 | 110 |
| Display electronic waste discharge per capita from the Head Office | piece/person | 0.1098 | 110 |
| Fluorescent tubes collected by suppliers | tubes | 9365 | 104 |
| Mainframe electronic waste discharge from the Head Office | piece | 317 | 110 |
| Mainframe electronic waste discharge per capita from the Head Office | piece/person | 0.1098 | 110 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Cartridges and toner cartridges collected by suppliers | cartridges | 216 | 104 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Distance Traveled by Light Vehicles (2.5-3.5 tons) at the Head Office | kilometer | 31870 | 109 |
| Distance Traveled by Light Vehicles (3.5-5.5 tons) at the Head Office | kilometer | 50195 | 109 |
| Distance Traveled by Light Vehicles (<= 2.5 tons) at the Head Office | kilometer | 1318475 | 109 |
| Natural gas consumption at Head Office’s buildings (parks) | m³ | 1573200 | 108 |
| Natural gas consumption per capita at Head Office’s buildings (parks) | m³ per capita (9145 persons) | 172.0284 | 108 |
| Power consumption at Head Office’s buildings (parks) | kWh | 96710600 | 108 |
| Power consumption per capita at Head Office’s buildings (parks) | kWh per capita (9145 persons) | 10575.2433 | 108 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Water consumption at Head Office’s buildings (parks) | tons | 307000 | 108 |
| Water consumption per capita at Head Office’s buildings (parks) | tons per capita (9145 persons) | 33.5703 | 108 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of banking outlets | 3079 | 11 | ||
| Number of employees at customer service center (95559 Hotline) | 898 | 89 | ||
| Number of employees at customer service center (Card Center 400 Hotline) | 1943 | 89 | ||
| Poverty rate in Litang County | % | 10.2 | 0.85 | 32 |
| Poverty rate in Tianzhu County | % | 1.79 | 0.07 | 32 |
| Return on equity | % | 0.8 | 7 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Job-related death rate (%) at the Head Office | % | 0.012 | 125 |
| Job-related deaths at the Head Office | 1 | 125 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Balance of green loans | billion RMB | 328.352 | 9 | ||
| Circuit boards of various types collected by suppliers | circuit boards | 251 | 104 | ||
| Number of Tier-1 branches | 30 | 11 | |||
| Number of Tier-2 branches | 207 | 11 | |||
| Number of countries and regions with overseas presence | 17 | 11 | |||
| Number of county-level cities with banking outlets | 164 | 11 | |||
| Number of directly affiliated branches under the Head Office | 7 | 11 | |||
| Number of domestic branches | 244 | 11 | |||
| Number of outlets | 3079 | 88 | |||
| Number of outlets in central and western regions | 1519 | 88 | |||
| Number of overseas banking branches, subsidiaries and representative offices | 23 | 11 | |||
| Number of rural banks controlled | 4 | 11 | |||
| Number of self-service areas at outlets | 3103 | 88 | |||
| Number of self-service automated machines | 17299 | 88 | |||
| Number of self-service kiosks | 4016 | 88 | |||
| Total assets (RMB billion) | RMB billion | 9038.254 | 9531.171 | 9905.6 | 12 |
| Total loans (RMB billion) | RMB billion | 4579.256 | 4854.228 | 5304.275 | 12 |
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 |
|---|---|---|---|
| Lead accumulators collected by suppliers | lead accumulators | 96 | 104 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Net increase in 'two increases' loans for inclusive finance | RMB billion | 55.819 | 73 |
| Net increase in agriculture-related loans for inclusive finance | RMB billion | 9.655 | 73 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of all-inclusive outlets | 464 | 88 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Customer satisfaction with results (%) (95559 Hotline) | % | 96.9 | 89 |
| Customer satisfaction with results (%) (Card Center 400 Hotline) | % | 92.4 | 89 |
| Number of self-service banks | 8947 | 88 | |
| Proportion of complaints handled (%) (95559 Hotline) | % | 100 | 89 |
| Proportion of complaints handled (%) (Card Center 400 Hotline) | % | 99.9 | 89 |
| Time needed for handling complaints (hours) (95559 Hotline) | hours | 7*24 manual service | 89 |
| Time needed for handling complaints (hours) (Card Center 400 Hotline) | hours | 7*24 manual service | 89 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Trademark applications submitted to protect intellectual property rights | 127 | 89 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of fully automated self-service banks | 1738 | 88 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of “Smart Communication” machines (Zhi Yi Tong) | 9065 | 88 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Capital adequacy ratio | % | 14.83 | 7 |
| The Banker ranking (Tier 1 capital) | 11 | 7 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Fortune Global 500 ranking (operating income) | 150 | 7 | |
| Number of cities with banking outlets (prefecture-level or above) | 242 | 11 | |
| Number of households in Litang County with individuals shaking off poverty | households | 1223 | 32 |
| Number of households in Tianzhu County with individuals rising out of poverty | households | 961 | 32 |
| Number of individuals in Tianzhu County rising out of poverty | individuals | 2796 | 32 |
| Number of provincial branches with inclusive finance departments | 95 | 73 | |
| Number of villages in Litang County with individuals shaking off poverty | villages | 37 | 32 |
| Number of villages in Tianzhu County with individuals rising out of poverty | villages | 14 | 32 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average interest rate decrease for MSE loans under inclusive finance business (percentage points) | percentage points | -0.63 | 73 |
| Comprehensive financing cost decrease for MSEs (percentage points) | percentage points | -1.11 | 73 |
| Increase in balance of green loans over end of last year | % | 16 | 9 |
| Number of individuals in Litang County shaking off poverty | individuals | 5750 | 32 |
| Social contribution per share | RMB | 4.87 | 7 |
Other aspects.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Net profits (RMB billion) | RMB billion | 70.223 | 73.63 | 77.281 | 12 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 0.1678 |
| NOₓ Emissions | tons | 2.0317 |
| SOₓ Emissions | tons | 0.0182 |
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 | 2019 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tons of CO₂ equivalent | 3398.78 |
| Indirect Energy Emissions (Scope 2) | tons of CO₂ equivalent | 76207.95 |
| Total GHG Emissions | tons of CO₂ equivalent | 79606.73 |
| Total GHG Emissions Intensity (By Employee) | tons of CO2e per capita | 8.7049 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Hazardous Electronic Waste | piece | 671 |
| Hazardous Waste (Electronic and IT Equipment) | piece | 671 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Non-Hazardous Waste (Electronic Waste) | piece | 317 |
| Paper Waste | tons per capita | 0.0046 |
| Total Non-Hazardous Waste Intensity (By Employee) | piece/person | 0.1098 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| GHG Emissions Reduction Compared to Last Year |
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 | 2019 |
|---|---|---|
| Diesel Fuel Consumption | liter | 8685 |
| Gasoline Consumption | liter | 159717 |
| Natural Gas Consumption | m³ | 1573200 |
| Purchased Electricity | kWh | 96710600 |
| Purchased Electricity Intensity (By Employee) | kWh per capita | 10575.2433 |
| Total Energy Consumption | tons | 29897.3 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Water Consumption | tons | 307000 |
| Water Consumption in Office | tons | 307000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | RMB billion |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Material Consumption (Paper) | tons |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Total Employees | 87828 | |
| Percentage of Employees Aged 30-50 | % | 60.8 |
| Percentage of Employees Aged Above 50 | % | 8.7 |
| Percentage of Employees Aged Below 30 | % | 30.5 |
| Percentage of Employees in Overseas | % | 2.85 |
| Percentage of Female Employees | % | 54.49 |
| Percentage of Female Employees in Senior Management | % | 37.15 |
| Percentage of Male Employees | % | 45.51 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees Aged 30-50 | % |
| Turnover Rate of Employees Aged Above 50 | % |
| Turnover Rate of Employees Aged Below 30 | % |
| Turnover Rate of Employees in Mainland China | % |
| Turnover Rate of Female Employees | % |
| Turnover Rate of Male Employees | % |
| 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 | 2019 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | 1 | |
| Number of Work-related Fatalities | 1 | |
| Work-related Fatalities Rate | % | 0.012 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Total Suppliers | suppliers | 1193 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Lead Accumulators Collected by Suppliers | lead accumulators | 96 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Recalled Products for Safety and Health Reasons | Not applicable |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Complaints Handling Rate | % | 100 |
| Satisfaction Rate of Customer Complaint Handling | % | 92.4 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Trademark Applications | 127 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 24.013 | ||
| Total Cash Donations | RMB million | 25.9122 | 35.0662 | 43.3471 |
| Total Public Welfare Donations | RMB million | 20.5129 | 28.1579 | 32.9853 |