Environmental, Social and Governance Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Air pollution emission | ton | 27.37 | 26.87 | 69 | |
| Air pollution emission intensity in revenue | ton/million RMB | 0.007 | 0.005 | 69 | |
| Nitrogen Oxides (NOx) emissions | tonnes | 28.54 | 25.34 | 67, 107 | |
| Particulate Matters (PM) emissions | tonnes | 1.8 | 1.51 | 67, 107 | |
| Sulfur Oxides (SOx) emissions | tonnes | 0.03 | 0.02 | 67, 107 | |
| Total Main Air Pollutant Emissions | tonnes | 30.37 | 26.87 | 67 | |
| Total Main Air Pollutant Emissions Intensity | tonnes/million RMB in revenue | 0.006 | 0.005 | 67 |
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 | 2020 | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Greenhouse gas emission | ton | 186120 | 281239 | 69 | ||
| Greenhouse gas intensity in revenue | ton/million RMB | 47.7 | 51.1 | 69 | ||
| Reduce intensity of air emission and greenhouse gas | % | -30 | 62 | |||
| Scope 1 — Direct Emissions | tonnes | 108144 | 132861 | 108 | ||
| Scope 1: Direct Greenhouse Gas Emissions | tonnes | 108144 | 132861 | 67 | ||
| Scope 2 — Energy Indirect Emissions | tonnes | 131050 | 146088 | 108 | ||
| Scope 2: Energy Indirect Greenhouse Gas Emissions | tonnes | 131050 | 146088 | 67 | ||
| Scope 3 — Other Indirect Emissions | tonnes | 2056 | 2291 | 108 | ||
| Scope 3: Other Indirect Greenhouse Gas Emissions | tonnes | 2056 | 2290 | 67 | ||
| Total Emissions | tonnes | 241250 | 26.87 | 107, 108 | ||
| Total Emissions Intensity | tonnes/million RMB in revenue | 47 | 0.005 | 107, 108 | ||
| Total Greenhouse Gas Emissions | tonnes | 241250 | 281239 | 67 | ||
| Total Greenhouse Gas Emissions Intensity | tonnes/million RMB in revenue | 47 | 51.1 | 67 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hazardous Waste | tonnes | 69 | 89 | 72 | |
| Hazardous Waste Emission | tonnes | 3.9 | 89 | 73 | |
| Hazardous Waste Emissions Intensity | tonnes/million RMB in revenue | 0.001 | 0.016 | 73 | |
| Hazardous Waste Intensity | tonnes/million RMB in revenue | 0.013 | 0.016 | 72, 108 | |
| Total Hazardous Waste | tonnes | 69 | 89 | 108 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Non-Hazardous Waste | tonnes | 3122 | 3511 | 72 | |
| Non-Hazardous Waste Emission | tonnes | 319 | 3511 | 73 | |
| Non-Hazardous Waste Emissions Intensity | tonnes/million RMB in revenue | 0.082 | 0.638 | 73 | |
| Non-Hazardous Waste Intensity | tonnes/million RMB in revenue | 0.608 | 0.638 | 72, 108 | |
| Total Non-Hazardous Waste | tonnes | 3122 | 3511 | 108 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2030 | Report Pages |
|---|---|---|---|
| Waste emission intensity reduction target | % | -30 | 70 |
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 | 2020 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Diesel consumption | Liters, liters | 1767489 | 1408567 | 55, 107 | |
| Direct Energy Consumption | 000 kWh | 310841 | 317031 | 107 | |
| Indirect Energy Consumption | 000 kWh | 229791 | 256159 | 107 | |
| Natural Gas consumption | Cubic meters, cubic meters | 27911410 | 28870620 | 55, 107 | |
| Total Direct Energy Consumption | '000 kWh | 310841 | 317031 | 55 | |
| Total Energy Consumption | '000 kWh, 000 kWh | 443208 | 540632 | 573190 | 55, 56, 107 |
| Total Energy Consumption Intensity | '000 kWh/million RMB in revenue, kWh/million RMB in revenue | 114 | 105 | 104000 | 55, 56, 107 |
| Total Indirect Energy Consumption — Electricity Purchase | '000 kWh | 229791 | 256159 | 55 | |
| Total energy consumption of new fans in cold storage factory | million kWh | 1.01 | 53 | ||
| Total energy consumption of old fans in cold storage factory | million kWh | 1.17 | 53 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total Water Consumption | m³, tonnes | 1683717 | 2973017 | 3618619 | 59, 60, 108 |
| Total Water Consumption Intensity | cubic meters/million RMB in revenue, tonnes/million RMB in revenue | 431 | 579 | 657 | 59, 60, 108 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | Report Pages |
|---|---|---|---|---|
| Electricity saved by replacing old fans with new fans in cold storage factory | million kWh | 0.16 | 53 | |
| Energy use intensity reduction target (consumption/income ratio) | % | -30 | 50 |
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 | 2030 | Report Pages |
|---|---|---|---|
| Water consumption intensity reduction target (water consumption/income ratio) | % | -30 | 57 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Packaging Material Consumption Intensity | tonnes/million RMB in revenue | 1.8 | 1.8 | 61 |
| Total Packaging Material Consumption | tonnes | 9250 | 9971 | 61, 108 |
| Total Packaging Material Consumption Intensity | tonnes/million RMB in revenue | 1.8 | 1.8 | 108 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|
| Compensation Amount (RMB) | RMB | 74037 | 18712 | 113 | |
| Number of Directors with a Master's Degree or Above | directors | 8 | 15 | ||
| Number of Directors without a Master's Degree or Above | directors | 1 | 15 | ||
| Number of Female Directors | directors | 3 | 15 | ||
| Number of Independent Non-executive Directors | directors | 4 | 15 | ||
| Number of Male Directors | directors | 6 | 15 | ||
| Number of Non-executive Directors | directors | 2 | 15 | ||
| Number of employees above 45 years old | employees | 1723 | 80 | ||
| Number of employees aged 30–45 years | employees | 4003 | 80 | ||
| Number of employees at Fengxiang | employees | 2024 | 80 | ||
| Number of employees at Fengxiang Food Development | employees | 1398 | 80 | ||
| Number of employees at Fengxiang Industrial | employees | 2846 | 80 | ||
| Number of employees at Fengxiang Japan | employees | 19 | 80 | ||
| Number of employees at Shandong Xiangyuan | employees | 4 | 80 | ||
| Number of employees at Yucheng Fengming | employees | 61 | 80 | ||
| Number of employees at entry level | 6589 | 6241 | 110 | ||
| Number of employees at iShape Food Technology | employees | 121 | 80 | ||
| Number of employees at mid management level | 197 | 211 | 110 | ||
| Number of employees at senior management level | 22 | 21 | 110 | ||
| Number of employees inside Shandong | 6634 | 6317 | 110 | ||
| Number of employees outside Shandong (including foreign employees) | 174 | 156 | 110 | ||
| Number of employees under 30 years old | employees | 747 | 80 | ||
| Number of employees with 1–3 years of service | employees | 948 | 948 | 80, 110 | |
| Number of employees with 3–5 years of service | employees | 1037 | 1037 | 80, 110 | |
| Number of employees with 5–10 years of service | employees | 2256 | 1754 | 80, 110 | |
| Number of employees with less than one year of service | employees | 577 | 807 | 80, 110 | |
| Number of employees with over 10 years of service | 1965 | 1927 | 110 | ||
| Number of employees with over ten years of service | employees | 1927 | 80 | ||
| Number of employees, Entry level | 7584 | 6359 | 112 | ||
| Number of employees, Mid-level | 83 | 84 | 112 | ||
| Number of employees, Senior level | 27 | 30 | 112 | ||
| Number of entry level employees | employees | 6241 | 80 | ||
| Number of female employees | employees | 3121 | 80 | ||
| Number of male employees | employees | 3352 | 80 | ||
| Number of mid-level employees | employees | 211 | 80 | ||
| Number of senior level employees | employees | 21 | 80 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Monthly average turnover rate of employees | 1.59% | 2.20% | 110 | |
| Monthly average turnover rate of employees (female) | 1.40% | 1.85% | 110 | |
| Monthly average turnover rate of employees (male) | 1.77% | 2.57% | 110 | |
| Turnover Rate by Age: 30–45 | % | 1.30% | 1.40% | 111 |
| Turnover Rate by Age: Above 45 | % | 0.85% | 3.21% | 111 |
| Turnover Rate by Age: Under 30 | % | 5.53% | 4.03% | 111 |
| Turnover Rate by Region: Fengxiang | % | 2.30% | 2.35% | 111 |
| Turnover Rate by Region: Fengxiang Food Development | % | 1.41% | 2.39% | 111 |
| Turnover Rate by Region: Fengxiang Industrial | % | 1.18% | 2.00% | 111 |
| Turnover Rate by Region: Shandong Xiangyuan | % | 2.72% | 111 | |
| Turnover Rate by Region: Yucheng Fengming | % | 7.78% | 2.40% | 111 |
| Turnover Rate by Region: iShape Food Technology | % | 3.57% | 1.18% | 111 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of work injury | 33 | 22 | 28 | 84 | |
| Number of work-related fatalities | 1 | 3 | 84 | ||
| Rates of work-related fatalities | 0.01% | 0.03% | 84 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of lost-days due to work injury | days | 2645 | 1353 | 1213 | 84 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Certified Fire Protection Engineer | persons | 1 | 1 | 86 |
| Certified Safety Engineer | persons | 6 | 10 | 86 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of trained staff by gender: Female | 3730 | 3335 | 111 | |
| Number of trained staff by gender: Male | 3694 | 3138 | 111 | |
| Percentage of trainees to total number of employees as of December 31, 2023 | 113% | 91 | ||
| Percentage of trainees to total number of employees as of December 31, 2024 | 100% | 91 | ||
| Special (equipment) licensed personnel induction rate | 100% | 100% | 86 | |
| Total number of trained staff | 7694 | 6473 | 111 | |
| Total number of trainees (including resigned employees) | 7473 | 7694 | 91 | |
| Trained staff percentage | % | 113% | 100% | 111 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average Training hours | hours | 39 | 62 | 112 |
| Average Training hours, Entry level | hours | 47 | 74 | 112 |
| Average Training hours, Female | hours | 42 | 54 | 112 |
| Average Training hours, Male | hours | 47 | 72 | 112 |
| Average Training hours, Mid-level | hours | 17 | 24 | 112 |
| Average Training hours, Senior level | hours | 45 | 64 | 112 |
| Average training hours per employee | hours | 39 | 62 | 90 |
| Average training hours per employee (Female) | hours | 42 | 54 | 90 |
| Average training hours per employee (Male) | hours | 47 | 72 | 90 |
| Average training hours per employee (Medium management) | hours | 17 | 24 | 90 |
| Average training hours per employee (Ordinary employees) | hours | 45 | 64 | 90 |
| Average training hours per employee (Senior management) | hours | 47 | 74 | 90 |
| Total Training hours | hours | 303570 | 403913 | 112 |
| Total hours of training and learning provided to all employees | hours | 300000 | 400000 | 90 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of suppliers in 24 provinces and countries | 1495 | 92 | ||
| Number of suppliers in 30 provinces and countries | 1137 | 92 | ||
| Number of suppliers in Shandong Province | 844 | 92 | ||
| Number of suppliers outside Shandong Province | 651 | 92 | ||
| Total Number of Vendor | 1495 | 1137 | 112 | |
| Vendor Distribution, Abroad | 0.3% | 0.4% | 112 | |
| Vendor Distribution, Domestic | 99.7% | 99.6% | 112 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Complaint Handling Rate | 100% | 100% | 113 | ||
| Shandong Fengxiang's sales revenue | RMB | 5000000000 | 9 | ||
| Total Number of Client's Complaints | 40 | 37 | 113 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Additional Trademark Registered for the year | 12 | 11 | 113 | |
| Cumulative number of patents granted | patents | 147 | 134 | 96 |
| Cumulative number of trademarks registered | trademarks | 177 | 134 | 96 |
| Number of newly added patents | patents | 12 | 11 | 96 |
| Total Patent Registered | 147 | 134 | 113 | |
| Total Trademark Registered | 177 | 134 | 113 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| Number of Executive Directors | directors | 3 | 15 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Total Amount of Donations (RMB) | RMB | 691000 | 372000 | 113 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 1.8 | 1.51 |
| NOₓ Emission Intensity (By Revenue) | tonnes/million RMB in revenue | 4756.666666666666 | 5068 |
| NOₓ Emissions | tonnes | 28.54 | 25.34 |
| PM Emission Intensity (By Revenue) | tonnes/million RMB in revenue | 300 | 302 |
| SOₓ Emission Intensity (By Revenue) | tonnes/million RMB in revenue | 5 | 4 |
| SOₓ Emissions | tonnes | 0.03 | 0.02 |
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 | 2020 | 2023 | 2024 | 2030 |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes | 108144 | 132861 | ||
| Indirect Energy Emissions (Scope 2) | tonnes | 131050 | 146088 | ||
| Total GHG Emissions | ton | 186120 | 241250 | 281239 | |
| Total GHG Emissions Intensity (By Revenue) | tonnes/million RMB | 47 | 51.1 | -30 | |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes | 2056 | 2291 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | tonnes | 3.9 | 69 | 89 |
| Total Hazardous Waste Intensity (By Revenue) | tonnes/million RMB in revenue | 0.001 | 0.013 | 0.016 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2023 | 2024 |
|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/million RMB in revenue | 0.082 | 0.608 | 0.638 |
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 | 2020 | 2023 | 2024 |
|---|---|---|---|---|
| Diesel Fuel Consumption | liters | 1767489 | 1408567 | |
| Energy Consumption Intensity (By Revenue) | '000 kWh/million RMB in revenue | 105 | 104 | |
| Natural Gas Consumption | cubic meters | 27911411 | 28870620 | |
| Total Direct Energy Consumption | '000 kWh | 310841 | 317031 | |
| Total Energy Consumption | '000 kWh | 443208 | 540632 | 573190 |
| Total Indirect Energy Consumption | '000 kWh | 229791 | 256159 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | m³ | 1683717 | 2973017 | 3618619 |
| Water Consumption Intensity (By Revenue) | cubic meters/million RMB in revenue | 431 | 579 | 657 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2030 |
|---|---|---|---|
| Electricity Usage Reduction Compared to Last Year | million kWh | 0.16 | |
| Investment in Energy-saving and Emission-reduction Technology Transformation | RMB | ||
| Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % | -30 |
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.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | -30 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | tonnes/million RMB in revenue | 1.8 | 1.8 |
| Packaging Materials Consumed | tonnes | 9250 | 9971 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 | 2025 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | employees | 4003 | ||
| Number of Employees Aged Above 50 | employees | 1723 | ||
| Number of Employees Aged Below 30 | employees | 747 | ||
| Number of Employees inside Shandong | employees | 6317 | ||
| Number of Employees outside Shandong (including foreign employees) | employees | 156 | ||
| Number of Female Directors | directors | 3 | ||
| Number of Female Employees | employees | 3121 | ||
| Number of Junior Management Employees | employees | 6241 | 6241 | |
| Number of Male Directors | directors | 6 | ||
| Number of Male Employees | employees | 3352 | ||
| Number of Middle Management Employees | employees | 211 | 211 | |
| Number of Senior Management Employees | employees | 21 | 21 | |
| Number of Total Employees | employees | 6473 | ||
| Percentage of Female Employees | percent | 52 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 1.3 | 1.4 |
| Turnover Rate of Employees Aged Above 50 | % | 0.85 | 3.21 |
| Turnover Rate of Employees Aged Below 30 | % | 5.53 | 4.03 |
| Turnover Rate of Female Employees | % | 1.4 | 1.85 |
| Turnover Rate of Male Employees | % | 1.77 | 2.57 |
| Turnover Rate of Total Employees | % | 1.59 | 2.2 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | % | 0.01 | 0.03 | |
| Fatalities Rate of the Last 3 Years | % | 0.01 | 0.005 | 0.013 |
| Number of Fatalities as a Result of Work-related Injuries | persons | 1 | 3 | |
| Number of Fatalities of the Last 3 Years | persons | 1 | 1 | 4 |
| Number of Work-related Fatalities | persons | 1 | 3 | |
| Work-related Fatalities Rate | % | 0.01 | 0.03 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 2645 | 1353 | 1213 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Employees Trained | % | 113 | 100 |
| Percentage of Trained Female Employees | % | 48.5 | 51.5 |
| Percentage of Trained Male Employees | % | 48 | 48.5 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 42 | 54 |
| Average Training Hours (General Staff) | hours | 45 | 64 |
| Average Training Hours (Male) | hours | 47 | 72 |
| Average Training Hours (Middle Management) | hours | 17 | 24 |
| Average Training Hours (Senior Management) | hours | 47 | 74 |
| Average Training Hours per Employee | hours | 39 | 62 |
| Total Training Hours | hours | 303570 | 403913 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Total Suppliers | 1495 | 1137 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Complaints Handling Rate | % | 100 | 100 |
| Total Number of Customer Complaints | 40 | 37 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Accumulative Number of Patents Granted | patents | 147 | 134 |
| Number of Patents Granted | patents | 12 | 11 |
| Number of Trademark Registrations | trademarks | 177 | 134 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Cash Donations | RMB | 691000 | 372000 |
| Total Public Welfare Donations | RMB | 691000 | 372000 |
| Total Social Investment | RMB | 691000 | 372000 |