2023 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 | Report Pages |
---|---|---|---|
Carbon dioxide emissions due to use of outsourced electricity | tonnes | 6671.63 | 25 |
GHG emission intensity | Tonnes of carbon dioxide equivalent per million revenue | 19.39 | 26 |
Scope 1 GHG emissions | Tonnes of carbon dioxide equivalent | 1026.54 | 26 |
Scope 2 GHG emissions | Tonnes of carbon dioxide equivalent | 93412.29 | 26 |
Total GHG emissions | Tonnes of carbon dioxide equivalent | 94438.83 | 26 |
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 | 2023 | Report Pages |
---|---|---|---|
Hazardous waste treatment compliance rate | % | 100 | 24 |
Waste gas treatment compliance rate | % | 100 | 24 |
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 |
---|---|---|---|
Biomass fuel consumption | Cubic metres | 27.90 | 26 |
Electricity consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) after improvement | kWh | 660 | 26 |
Electricity consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) before improvement | kWh | 848 | 26 |
Gasoline consumption | Tonnes | 5.21 | 26 |
Group self-used photovoltaic power generation | kWh | 11698.5 thousand | 25 |
Outsourced electricity consumption | Billion kilowatt-hours | 8.83 | 26 |
Outsourced steam (power plant) consumption | Tonnes | 14.24 | 26 |
Overall energy consumption | Tonnes of standard coal | 31338.01 | 26 |
Overall energy consumption intensity | Tonnes of standard coal per million revenue | 6.43 | 26 |
Photovoltaic generation for own use | Billion kilowatt-hours | 1.17 | 26 |
Pipeline natural gas consumption | Cubic metres | 46.77 | 26 |
Steam consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) after improvement | Tonnes | 1.65 | 26 |
Steam consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) before improvement | Tonnes | 2.39 | 26 |
Steam produced by biogas boiler project | Tonnes | 5624 | 26 |
Total direct energy consumption | Tonnes of standard coal | 2179.08 | 26 |
Total direct energy consumption intensity | Tonnes of standard coal per million revenue | 0.45 | 26 |
Total indirect energy consumption | Tonnes of standard coal | 29158.94 | 26 |
Total indirect energy consumption intensity | Tonnes of standard coal per million revenue | 5.99 | 26 |
Weidiao Plant self-consumption amount of photovoltaic power generation | kWh | 7104.6 thousand | 25 |
Weidiao Plant self-consumption ratio of photovoltaic power generation | % | 76.8 | 25 |
Weidiao Plant total photovoltaic power generation | kWh | 9258.8 thousand | 25 |
Xinglin Plant self-consumption amount of photovoltaic power generation | kWh | 4682.1 thousand | 25 |
Xinglin Plant self-consumption ratio of photovoltaic power generation | % | 83 | 25 |
Xinglin Plant total photovoltaic power generation | kWh | 5673.2 thousand | 25 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Intensity of water consumption | thousand cubic meters per million revenue | 0.43 | 27 |
Total water consumption | thousand cubic meters | 2097.96 | 27 |
Water consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) after improvement | Tonnes | 15.70 | 26 |
Water consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) before improvement | Tonnes | 24.31 | 26 |
Water consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) reduction | % | 35 | 26 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Electricity consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) reduction | % | 22 | 26 |
Energy cost reduction | RMB | RMB 5.39 million | 25 |
Estimated annual electricity savings from new production line technologies | million kWh | 2 | 26 |
Number of air conditioners added to reduce workshop temperature | air conditioners | 10 | 36 |
Steam consumption per ton of product (Xinglin Plant 'Konjac Shuang' production line) reduction | % | 31 | 26 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Wastewater treatment compliance rate | % | 100 | 24 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Metals packaging material usage | Tonnes | 1359 | 27 |
Packaging material usage intensity | Thousand tonnes per million revenue | 10.79 | 27 |
Paper packaging material usage | Tonnes | 32852 | 27 |
Plastics packaging material usage | Tonnes | 18360 | 27 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of current employees | 6079 | 32 | |
Number of employees by age: 30 and below | 1485 | 32 | |
Number of employees by age: 31-40 | 2933 | 32 | |
Number of employees by age: 41-50 | 1611 | 32 | |
Number of employees by age: 51 and above | 50 | 32 | |
Number of employees by gender: Female | 3483 | 32 | |
Number of employees by gender: Male | 2596 | 32 | |
Number of employees by region: Central China (Hubei, Hunan, Henan and Jiangxi) | 4895 | 32 | |
Number of employees by region: Eastern China (Shandong, Jiangsu, Anhui, Zhejiang, Fujian and Shanghai) | 643 | 32 | |
Number of employees by region: Hong Kong, Macao and Taiwan | 2 | 32 | |
Number of employees by region: Northeastern China (Liaoning, Jilin and Heilongjiang) | 83 | 32 | |
Number of employees by region: Northern China (Beijing, Tianjin, Hebei, Shanxi and Inner Mongolia) | 130 | 32 | |
Number of employees by region: Northwestern China (Ningxia, Xinjiang, Qinghai, Shaanxi and Gansu) | 72 | 32 | |
Number of employees by region: Southern China (Guangdong, Guangxi and Hainan) | 131 | 32 | |
Number of employees by region: Southwestern China (Sichuan, Yunnan, Guizhou, Tibet and Chongqing) | 123 | 32 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Employee turnover rate by age: 30 and below | % | 35.4 | 35 |
Employee turnover rate by age: 31-40 | % | 25.6 | 35 |
Employee turnover rate by age: 41-50 | % | 17.9 | 35 |
Employee turnover rate by age: 51 and above | % | 2.0 | 35 |
Employee turnover rate by gender: Female | % | 25.0 | 35 |
Employee turnover rate by gender: Male | % | 28.1 | 35 |
Employee turnover rate by region: Central China (Hubei, Hunan, Henan and Jiangxi) | % | 27.9 | 35 |
Employee turnover rate by region: Eastern China (Shandong, Jiangsu, Anhui, Zhejiang, Fujian and Shanghai) | % | 20.7 | 35 |
Employee turnover rate by region: Hong Kong, Macao and Taiwan | % | 33.3 | 35 |
Employee turnover rate by region: Northeastern China (Liaoning, Jilin and Heilongjiang) | % | 9.8 | 35 |
Employee turnover rate by region: Northern China (Beijing, Tianjin, Hebei, Shanxi and Inner Mongolia) | % | 26.6 | 35 |
Employee turnover rate by region: Northwestern China (Ningxia, Xinjiang, Qinghai, Shaanxi and Gansu) | % | 12.2 | 35 |
Employee turnover rate by region: Southern China (Guangdong, Guangxi and Hainan) | % | 15.5 | 35 |
Employee turnover rate by region: Southwestern China (Sichuan, Yunnan, Guizhou, Tibet and Chongqing) | % | 14.0 | 35 |
Total employee turnover rate | % | 26.3 | 35 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of work-related injuries | cases | 2364 | 36 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Investment in outsourced cooling project for work safety | RMB | 580000 | 36 |
Number of issues resolved in employee seminars (safety, cafeteria, tools and equipment, work environment) | issues | 228 | 36 |
Total safety investment | million RMB | 1 | 36 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of participants in employee seminars | participants | 1019 | 36 |
Number of seminars for new and old employees | seminars | 58 | 36 |
Percentage of employees trained (by gender) - Female | % | 60 | 33 |
Percentage of employees trained (by gender) - Male | % | 40 | 33 |
Percentage of employees trained (by position) - Entry-level employees | % | 99.08 | 33 |
Percentage of employees trained (by position) - Middle management | % | 0.75 | 33 |
Percentage of employees trained (by position) - Senior management | % | 0.18 | 33 |
Percentage of total employees trained | % | 100 | 33 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Average training hours per employee (by gender) - Female | hours | 14.96 | 33 |
Average training hours per employee (by gender) - Male | hours | 14.96 | 33 |
Average training hours per employee (by position) - Entry-level employees | hours | 14.88 | 33 |
Average training hours per employee (by position) - Middle management | hours | 23.57 | 33 |
Average training hours per employee (by position) - Senior management | hours | 24.50 | 33 |
Training hours per capita | hours | 14.96 | 33 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Donation to Gansu Women and Children Development Foundation | million RMB | 2 | 39 |
Investment in community welfare initiatives | million RMB | 4.22 | 39 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Material donation to Jilin Shulan - bottled mineral water | bottles | 4000 | 39 |
Material donation to Jilin Shulan - boxes of '78' Braised Egg | boxes | 437 | 39 |
Number of students receiving scholarships (primary and secondary) | students | 56 | 39 |
Number of students receiving scholarships (university) | students | 3 | 39 |
Scholarship donation to primary, secondary, and university students in Luoche Economic and Technological Development Zone | RMB | 307000 | 39 |
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 |
---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes of carbon dioxide equivalent | 1026.54 |
GHG Emissions from Purchased Electricity | tonnes | 6671.63 |
Indirect Energy Emissions (Scope 2) | Tonnes of carbon dioxide equivalent | 93412.29 |
Total GHG Emissions | Tonnes of carbon dioxide equivalent | 94438.83 |
Total GHG Emissions Intensity (By Revenue) | Tonnes of carbon dioxide equivalent per million revenue | 19.39 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Paper Waste | Tonnes | 32852 |
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 |
---|---|---|
Biomass Energy | Cubic metres | 27.9 |
Direct Energy Intensity (By Revenue) | Tonnes of standard coal per million revenue | 0.45 |
Energy Consumption Intensity (By Revenue) | Tonnes of standard coal per million revenue | 6.43 |
Gasoline Consumption | Tonnes | 5.21 |
Indirect Energy Intensity (By Revenue) | Tonnes of standard coal per million revenue | 5.99 |
Natural Gas Consumption | Cubic metres | 46.77 |
Purchased Electricity | Billion kilowatt-hours | 8.83 |
Purchased Steam | Tonnes | 14.24 |
Solar Energy | Billion kilowatt-hours | 1.17 |
Total Direct Energy Consumption | Tonnes of standard coal | 2179.08 |
Total Energy Consumption | Tonnes of standard coal | 31338.01 |
Total Indirect Energy Consumption | Tonnes of standard coal | 29158.94 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Total Water Withdrawal | thousand cubic meters | 2097.96 |
Water Consumption | thousand cubic meters | 2097.96 |
Water Consumption Intensity (By Revenue) | thousand cubic meters per million revenue | 0.43 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 22 |
Steam Usage Reduction Percentage Compared to Last Year | % | 31 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2023 |
---|---|---|
Packaging Material Consumption (Metal) | Tonnes | 1359 |
Packaging Material Consumption (Plastic) | Tonnes | 18360 |
Packaging Material Intensity (By Revenue) | Thousand tonnes per million revenue | 10.79 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Employees Aged 30-50 | 4544 | |
Number of Employees Aged Above 50 | 50 | |
Number of Employees Aged Below 30 | 1485 | |
Number of Employees in Central China | 4895 | |
Number of Employees in East China | 643 | |
Number of Employees in Hong Kong | 2 | |
Number of Employees in Hong Kong and Mainland China | 6079 | |
Number of Employees in Mainland China | 6077 | |
Number of Employees in North China | 130 | |
Number of Employees in Northeast China | 83 | |
Number of Employees in Northwest China | 72 | |
Number of Employees in South China | 131 | |
Number of Employees in Southwest China | 123 | |
Number of Female Employees | 3483 | |
Number of Male Employees | 2596 | |
Number of Total Employees | 6079 | |
Percentage of Employees Aged 30-50 | % | 74.79 |
Percentage of Employees Aged Above 50 | % | 0.82 |
Percentage of Employees Aged Below 30 | % | 24.43 |
Percentage of Employees in Central China | % | 80.53 |
Percentage of Employees in East China | % | 10.58 |
Percentage of Employees in Hong Kong | % | 0.03 |
Percentage of Employees in Hong Kong and Mainland China | % | 100 |
Percentage of Employees in Mainland China | % | 99.97 |
Percentage of Employees in North China | % | 2.14 |
Percentage of Employees in Northeast China | % | 1.37 |
Percentage of Employees in Northwest China | % | 1.18 |
Percentage of Employees in South China | % | 2.16 |
Percentage of Employees in Southwest China | % | 2.02 |
Percentage of Female Employees | % | 57.27 |
Percentage of Male Employees | % | 42.73 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 21.75 |
Turnover Rate of Employees Aged Above 50 | % | 2 |
Turnover Rate of Employees Aged Below 30 | % | 35.4 |
Turnover Rate of Employees in Central China | % | 27.9 |
Turnover Rate of Employees in East China | % | 20.7 |
Turnover Rate of Employees in Hong Kong | % | 33.3 |
Turnover Rate of Employees in North China | % | 26.6 |
Turnover Rate of Employees in Northeast China | % | 9.8 |
Turnover Rate of Employees in Northwest China | % | 12.2 |
Turnover Rate of Employees in South China | % | 15.5 |
Turnover Rate of Employees in Southwest China | % | 14 |
Turnover Rate of Female Employees | % | 25 |
Turnover Rate of Male Employees | % | 28.1 |
Turnover Rate of Total Employees | % | 26.3 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Investment in Work Safety | RMB | 1000000 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Employees Trained | % | 100 |
Percentage of Trained Female Employees | % | 60 |
Percentage of Trained General Employees | % | 99.08 |
Percentage of Trained Male Employees | % | 40 |
Percentage of Trained Middle Management | % | 0.75 |
Percentage of Trained Senior Management | % | 0.18 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 |
---|---|---|
Average Training Hours (Female) | hours | 14.96 |
Average Training Hours (Male) | hours | 14.96 |
Average Training Hours (Middle Management) | hours | 23.57 |
Average Training Hours (Senior Management) | hours | 24.5 |
Average Training Hours per Employee | hours | 14.96 |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Suppliers in Central China | |
Number of Suppliers in East China | |
Number of Suppliers in Mainland China | |
Number of Suppliers in North China | |
Number of Suppliers in Northeast China | |
Number of Suppliers in Northwest China | |
Number of Suppliers in Overseas | |
Number of Suppliers in South China | |
Number of Suppliers in Southwest China | |
Number of Suppliers in West China | |
Number of Total Suppliers |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit |
---|---|
Accumulative Number of Patents Granted | |
Number of New Patent Applications | |
Number of Patents Granted | |
Number of Trademark Registrations |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2023 |
---|---|---|
Investment in Education Donation | RMB | 307000 |
Total In-kind Donations | bottles | 437 |