2024 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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Carbon emissions reduction loans issued | million RMB | 405 | 21 | |
| Direct greenhouse gas emissions | Tons of carbon dioxide equivalent | 317.59 | 315.14 | 26 |
| Greenhouse gas emissions in the head office and branches | Tons of carbon dioxide equivalent | 6125.78 | 6906.15 | 26 |
| Indirect greenhouse gas emissions | Tons of carbon dioxide equivalent | 5808.19 | 6591.01 | 26 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Paper consumption in the head office and branches | 10000 sheets | 476.08 | 551.45 | 26 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Total annual emissions reduced by carbon emissions reduction loans | tons of carbon dioxide equivalent | 82200 | 21 |
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 | 2024 | Report Pages |
|---|---|---|---|---|
| Electricity consumption at the head office and branches | 10000 kWh | 1086.33 | 75 | |
| Electricity consumption by the head office and branches | 10000 kWh | 1086.33 | 15 | |
| Electricity consumption in the head office and branches | 10000 kWh | 925.6 | 1086.33 | 26 |
| Natural gas consumption at the head office and branches | cubic meter | 29837.09 | 75 | |
| Natural gas consumption by the head office and branches | Cubic metre | 29837.09 | 15 | |
| Natural gas consumption in the head office and branches | Cubic metre | 49844.84 | 29837.09 | 26 |
| Petrol consumption at the head office and branches | litre | 70192.46 | 75 | |
| Petrol consumption by the head office and branches | Litre | 70192.46 | 15 | |
| Petrol consumption in the head office and branches | Litre | 60517.91 | 70192.46 | 26 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Office water consumption of the head office | ton | 63751.68 | 75 | |
| Water consumption by the head office and branches | Ton | 63751.68 | 15 | |
| Water consumption in the head office and branches | Ton | 54927.49 | 63751.68 | 26 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Paper consumption at the head office and branches | 10000 sheets | 551.45 | 75 |
| Paper consumption by the head office and branches | 10000 sheets | 551.45 | 15 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of Han ethnic group employees | headcount | 5711 | 62 |
| Number of employees in Jiangxi | headcount | 4878 | 62 |
| Number of employees outside Jiangxi | headcount | 895 | 62 |
| Number of ethnic minority group employees | headcount | 62 | 62 |
| Number of female employees | headcount | 3112 | 62 |
| Number of full-time employees | headcount | 5773 | 62 |
| Number of male employees | headcount | 2661 | 62 |
| Proportion of Han ethnic group employees | percent | 98.93% | 62 |
| Proportion of employees in Jiangxi | percent | 84.50% | 62 |
| Proportion of employees outside Jiangxi | percent | 15.50% | 62 |
| Proportion of ethnic minority group employees | percent | 1.07% | 62 |
| Proportion of female employees | percent | 53.91% | 62 |
| Proportion of full-time employees | percent | 100.00% | 62 |
| Proportion of male employees | percent | 46.09% | 62 |
| Total assets | RMB100 million | 5164.59 | 15 |
| Total loans | RMB100 million | 3208.35 | 15 |
| Total number of employees | Person, person | 5773 | 15, 75 |
| Total number of female employees | Person, person | 3112 | 15, 75 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Employee turnover rate (31–40 years old, including 40) | percent | 1.52% | 62 |
| Employee turnover rate (41–50 years old, including 50) | percent | 0.05% | 62 |
| Employee turnover rate (female) | percent | 3.20% | 62 |
| Employee turnover rate (in Jiangxi) | percent | 5.01% | 62 |
| Employee turnover rate (male) | percent | 3.46% | 62 |
| Employee turnover rate (outside Jiangxi) | percent | 1.65% | 62 |
| Employee turnover rate (under 30 years old) | percent | 5.09% | 62 |
| Operating income | RMB100 million | 103.88 | 15 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of worker-related injuries | cases | 19 | 62 |
Lost days due to work injury.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of working days lost due to worker-related injuries | days | 523 | 62 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of staff that participated in training | persons | 5764 | 66 |
| Number of staff that participated in training (Females) | persons | 3111 | 66 |
| Number of staff that participated in training (General staff) | persons | 4745 | 66 |
| Number of staff that participated in training (Males) | persons | 2653 | 66 |
| Number of staff that participated in training (Middle management) | persons | 1009 | 66 |
| Number of staff that participated in training (Senior management) | persons | 10 | 66 |
| Percentage of staff that participated in training (Females) | 53.97% | 66 | |
| Percentage of staff that participated in training (General staff) | 82.32% | 66 | |
| Percentage of staff that participated in training (Males) | 46.03% | 66 | |
| Percentage of staff that participated in training (Middle management) | 17.51% | 66 | |
| Percentage of staff that participated in training (Senior management) | 0.17% | 66 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Average online training hours per person | hours | 74.6 | 66 |
| Average training hours per person (Females) | hours | 96.98 | 66 |
| Average training hours per person (General staff) | hours | 98.6 | 66 |
| Average training hours per person (Males) | hours | 100.66 | 66 |
| Average training hours per person (Middle management) | hours | 99.46 | 66 |
| Average training hours per person (Senior management) | hours | 51.38 | 66 |
| Total learning time | hours | 429998 | 66 |
| Total training hours (Females) | hours | 301700.11 | 66 |
| Total training hours (General staff) | hours | 467876.93 | 66 |
| Total training hours (Males) | hours | 267049.8 | 66 |
| Total training hours (Middle management) | hours | 100359.15 | 66 |
| Total training hours (Senior management) | hours | 513.83 | 66 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Corporate loans to Agriculture, forestry, animal husbandry and fishery sector | million RMB | 5419.2 | 6935.4 | 84 |
| Corporate loans to Agriculture, forestry, animal husbandry and fishery sector (% of total) | % | 1.8 | 2.2 | 84 |
| Corporate loans to Construction sector | million RMB | 21068.4 | 20988.3 | 84 |
| Corporate loans to Construction sector (% of total) | % | 7 | 6.5 | 84 |
| Corporate loans to Education sector | million RMB | 6107.9 | 5646 | 84 |
| Corporate loans to Education sector (% of total) | % | 2 | 1.8 | 84 |
| Corporate loans to Health and social work sector | million RMB | 4174.6 | 3655.4 | 84 |
| Corporate loans to Health and social work sector (% of total) | % | 1.4 | 1.1 | 84 |
| Corporate loans to Leasing and commercial services sector | million RMB | 23842.4 | 27297.1 | 84 |
| Corporate loans to Leasing and commercial services sector (% of total) | % | 7.9 | 8.5 | 84 |
| Corporate loans to Manufacturing sector | million RMB | 43638 | 51792.5 | 84 |
| Corporate loans to Manufacturing sector (% of total) | % | 14.5 | 16.1 | 84 |
| Corporate loans to Mining sector | million RMB | 2768.6 | 3264.6 | 84 |
| Corporate loans to Mining sector (% of total) | % | 0.9 | 1 | 84 |
| Corporate loans to Real estate sector | million RMB | 24427.8 | 22206.1 | 84 |
| Corporate loans to Real estate sector (% of total) | % | 8.1 | 6.9 | 84 |
| Corporate loans to Water conservancy, environment and public utility management sector | million RMB | 12099 | 11086.2 | 84 |
| Corporate loans to Water conservancy, environment and public utility management sector (% of total) | % | 4 | 3.5 | 84 |
| Corporate loans to Wholesale and retail sector | million RMB | 28040.7 | 33838.3 | 84 |
| Corporate loans to Wholesale and retail sector (% of total) | % | 9.3 | 10.6 | 84 |
| Green credit balance | RMB100 million | 406.24 | 15, 75 | |
| Total deposits | RMB100 million | 3869.64 | 15 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Capital adequacy ratio | % | 13.17 | 15 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Green loan balance | million RMB | 40624 | 21 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Targeted poverty alleviation loan balance | RMB100 million | 6.21 | 15, 75 |
| Total charity donations | RMB10 thousand, RMB10000 | 282.07 | 15, 75 |
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 | 2023 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tons of carbon dioxide equivalent | 317.59 | 315.14 |
| Indirect Energy Emissions (Scope 2) | Tons of carbon dioxide equivalent | 5808.19 | 6591.01 |
| Total GHG Emissions | Tons of carbon dioxide equivalent | 6125.78 | 6906.15 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Paper Waste | 10000 sheets | 476.08 | 551.45 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tons of carbon dioxide equivalent | 82200 |
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 | 2024 |
|---|---|---|---|
| Gasoline Consumption | Litre | 60517.91 | 70192.46 |
| Natural Gas Consumption | Cubic metre | 49844.84 | 29837.09 |
| Purchased Electricity | kWh | 9256000 | 10863300 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Water Consumption in Office | Ton | 54927.49 | 63751.68 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Packaging Material Consumption (Paper) | 10000 sheets | 551.45 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Female Employees | person | 3112 |
| Number of Full-time Employees | person | 5773 |
| Number of Male Employees | person | 2661 |
| Number of Total Employees | person | 5773 |
| Percentage of Female Employees | percent | 53.91 |
| Percentage of Full-time Employees | percent | 100 |
| Percentage of Male Employees | percent | 46.09 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | percent | 1.57 |
| Turnover Rate of Employees Aged Below 30 | percent | 5.09 |
| Turnover Rate of Female Employees | percent | 3.2 |
| Turnover Rate of Male Employees | percent | 3.46 |
Lost days due to work injury.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 523 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Trained Female Employees | % | 53.97 |
| Percentage of Trained General Employees | % | 82.32 |
| Percentage of Trained Male Employees | % | 46.03 |
| Percentage of Trained Middle Management | % | 17.51 |
| Percentage of Trained Senior Management | % | 0.17 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Average Training Hours (Female) | hours | 96.98 |
| Average Training Hours (General Staff) | hours | 98.6 |
| Average Training Hours (Male) | hours | 100.66 |
| Average Training Hours (Middle Management) | hours | 99.46 |
| Average Training Hours (Senior Management) | hours | 51.38 |
| Average Training Hours per Employee | hours | 74.6 |
| Total Training Hours | hours | 429998 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB | 62100000 |
| Total Public Welfare Donations | RMB | 282070 |