2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Direct greenhouse gas emissions | tCO2e | 848.1 | 964.07 | 59 |
| Greenhouse gas emission | tCO2e | 16832.65 | 20287.98 | 59 |
| Indirect greenhouse gas emissions | tCO2e | 15984.55 | 19323.92 | 59 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Discharge of non-hazardous waste | tons | 6.25 | 2.32 | 59 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Natural gas consumption | cubic meters | 30803.9 | 105905.49 | 10, 59 |
| Office electricity consumption | 10000 kWhs | 2418.42 | 2805.78 | 59 |
| Office oil consumption (including diesel and gasoline consumed by outsourced armor cash carriers service) | liters | 588337.03 | 983753.53 | 10 |
| Office power consumption | 10000 kWhs | 2418.42 | 2805.78 | 10 |
| Oil consumption for office use | liters | 588337.03 | 983753.53 | 59 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Office water consumption | 10000 tonnes, 10000 tons | 11.84 | 18.62 | 10, 59 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Increase in coverage ratio of customers in HopeDA business circle | percentage points | 36.35% | 32 | |
| Increase in credit supply balance in poverty-stricken areas compared with end of last year | RMB million | 3295 | 29 | |
| Number of Employees From 31 to 40 years old (inclusive) | 1202 | 52 | ||
| Number of Employees From 41 to 50 years old (inclusive) | 977 | 52 | ||
| Number of Employees Outside Jiangxi Province | 356 | 52 | ||
| Number of Employees Over 50 years old | 126 | 52 | ||
| Number of Employees Under 30 years old (inclusive) | 2756 | 52 | ||
| Number of Employees Within Jiangxi Province | 4705 | 52 | ||
| Number of Employees from Ethnic Minorities | 39 | 52 | ||
| Number of Employees with Bachelor degree or above | 4546 | 52 | ||
| Number of Employees with College degree or below | 515 | 52 | ||
| Number of Female Employees | 2741 | 52 | ||
| Number of Male Employees | 2320 | 52 | ||
| Number of high-end talents provided with financial services | persons | 1373 | 29, 32 | |
| Number of in-service employees | 5000 | 6 | ||
| Percentage of Employees From 31 to 40 years old (inclusive) | % | 23.75 | 52 | |
| Percentage of Employees From 41 to 50 years old (inclusive) | % | 19.3 | 52 | |
| Percentage of Employees Outside Jiangxi Province | % | 7.03 | 52 | |
| Percentage of Employees Over 50 years old | % | 2.49 | 52 | |
| Percentage of Employees Under 30 years old (inclusive) | % | 54.46 | 52 | |
| Percentage of Employees Within Jiangxi Province | % | 92.97 | 52 | |
| Percentage of Employees from Ethnic Minorities | % | 0.77 | 52 | |
| Percentage of Employees with Bachelor degree or above | % | 89.2 | 52 | |
| Percentage of Employees with College degree or below | % | 10.8 | 52 | |
| Percentage of Female Employees | % | 54.16 | 52 | |
| Percentage of Male Employees | % | 45.84 | 52 | |
| Percentage of Total Employees | % | 100 | 52 | |
| Percentage of female employees | % | 55 | 54.16 | 9 |
| Ranked 258th on the list of Top 1000 World Banks in terms of total tier-one capital | rank | 258 | 8 | |
| Ranked 35th among the Top 100 Banks in China’s Banking Industry | rank | 35 | 8 | |
| Ranked 9th on the list of Domestic Banks with Fastest Growth Among Top 1000 Banks in the World | rank | 9 | 8 | |
| Return on average total assets | % | 0.7 | 0.48 | 9 |
| Return on equity | % | 9.95 | 6.15 | 9 |
| Total Number of Employees | 5061 | 52 | ||
| Total assets | RMB1 million, billion RMB | 419064.27 | 456.119 | 6, 9 |
| Total headcount | Person | 4858 | 5061 | 9 |
| Total loans | RMB1 million | 170500.7 | 210017.13 | 9 |
| Total loans and advances to customers | billion RMB | 210.017 | 6 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Operating income | RMB1 million | 11350.61 | 12952.81 | 9 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total investment in innovative and venture products | RMB million | 903 | 29 |
| Training participants - Junior employees | participants | 4915 | 49 |
| Training participants - Middle management | participants | 137 | 49 |
| Training participants - Senior management | participants | 9 | 49 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Length of time per participant - Junior employees | hours | 115 | 49 | |
| Length of time per participant - Middle management | hours | 59 | 49 | |
| Length of time per participant - Senior management | hours | 108 | 49 | |
| Training time per capita | Hour | 130.88 | 113.47 | 9 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Balance of agricultural-related loans | RMB100 million | 209.76 | 219.86 | 9 |
| Balance of green credit | RMB100 million | 71.78 | 93.99 | 10 |
| Balance of loans to high-pollution, high-energy-consumption and overcapacity industries | RMB100 million | 12.47 | 18.58 | 10 |
| Balance of loans to small and micro enterprises | RMB100 million | 627.52 | 669.57 | 9 |
| Number of new customers in HopeDA business circle compared to last year | customers | 4918 | 32 | |
| Top 300 in Inter-bank Domestic Currency Market Transaction | rank | 300 | 8 | |
| Total deposits | RMB1 million, billion RMB | 260448.65 | 284.549 | 6, 9 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of POS settlement customers served in HopeDA business circle | customers | 3451 | 32 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Annual transaction volume of POS settlement customers in HopeDA business circle | billion RMB | 1.77 | 32 | |
| Coverage ratio of customers in HopeDA business circle | 52.54% | 32 | ||
| Customer satisfaction rate | % | 99.3 | 99.39 | 9 |
| Customers’ complaints solution satisfaction rate | % | 100 | 100 | 9 |
| Number of customers in HopeDA business circle served by characteristic sub-branches for small and micro finance in Hongcheng | customers | 7109 | 32 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of innovative and venture products launched | 22 | 29 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| E-banking replacement ratio | % | 98.67 | 98.88 | 10 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Capital adequacy ratio | % | 13.6 | 12.63 | 9 |
| Provision coverage ratio | % | 171.42 | 165.65 | 9 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Basic earnings per share | RMB | 0.51 | 0.34 | 9 |
| Credit supply balance in poverty-stricken areas | RMB million | 16663 | 29 | |
| Outstanding Currency Market Trader | Outstanding Trader | 8 | ||
| Top 100 in China Bond Clearing | rank | 100 | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Amount of loans provided to HopeDA small and micro merchants | million RMB | 824 | 32 | |
| Charity donation | RMB10000 | 505 | 1022 | 9 |
| Core Trader in Inter-bank Domestic Currency Market | Core Trader | 8 | ||
| Increase in targeted poverty alleviation loans compared with end of last year | RMB million | 134 | 29 | |
| Increase in targeted poverty alleviation loans compared with end of last year (percentage) | 22.48% | 29 | ||
| Social contribution per share | RMB | 2.67 | 2.69 | 9 |
| Targeted poverty alleviation loans | RMB million | 730 | 29 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 848.1 | 964.07 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 15984.55 | 19323.92 |
| Total GHG Emissions | tCO2e | 16832.65 | 20287.98 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | tons | 6.25 | 2.32 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Grid Electricity Consumption | kWh | 24184200 | 28057800 |
| Natural Gas Consumption | cubic meters | 30803.9 | 105905.49 |
| Oil Consumption for office use | liters | 588337.03 | 983753.53 |
| Purchased Electricity | kWh | 24184200 | 28057800 |
| Total Indirect Energy Consumption | kWh | 24184200 | 28057800 |
| Total Purchased Energy | kWh | 24184200 | 28057800 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Water Consumption in Office | 10000 tons | 11.84 | 18.62 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Employees Aged 30-50 | 977 | ||
| Number of Employees Aged Above 50 | 126 | ||
| Number of Employees Aged Below 30 | 2756 | ||
| Number of Female Employees | 2741 | ||
| Number of Male Employees | 2320 | ||
| Number of Total Employees | Person | 4858 | 5061 |
| Percentage of Employees Aged 30-50 | % | 23.75 | |
| Percentage of Employees Aged Above 50 | % | 2.49 | |
| Percentage of Employees Aged Below 30 | % | 54.46 | |
| Percentage of Female Employees | % | 55 | 54.16 |
| Percentage of Male Employees | % | 45.84 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Trained General Employees | percent | 4915 |
| Percentage of Trained Middle Management | percent | 137 |
| Percentage of Trained Senior Management | percent | 9 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Average Training Hours (General Staff) | hours | 115 | |
| Average Training Hours (Middle Management) | hours | 59 | |
| Average Training Hours (Senior Management) | hours | 108 | |
| Average Training Hours per Employee | Hour | 130.88 | 113.47 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Satisfaction Rate of Customer Complaint Handling | % | 100 | 100 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB million | 730 | |
| Total Public Welfare Donations | RMB10000 | 505 | 1022 |
| Total Social Investment | RMB10000 | 505 | 1022 |