ESG Data
Boundary of aggregation for each data type: Legend
Non-consolidated basis KHI
Including KRM and KMC KHI, KRM, KMC
Including domestic subsidiaries Domestic Group
Overseas subsidiaries only Overseas Group
Consolidated basis Consolidated
Governance
Corporate Governance
Number and Composition of Directors KHI
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | 2024 | ||
---|---|---|---|---|---|---|---|---|
Directors | Internal Directors | Male | Persons | 7 | 7 | 6 | 6 | 5 |
Female | 0 | 0 | 0 | 0 | 1 | |||
Total | 7 | 7 | 6 | 6 | 6 | |||
Independent Outside Directors | Male | 4 | 4 | 4 | 4 | 3 | ||
Female | 2 | 2 | 2 | 3 | 4 | |||
Total | 6 | 6 | 6 | 7 | 7 | |||
Total number | 13 | 13 | 12 | 13 | 13 | |||
Directors serving as Audit & Supervisory Committee Members*1 | 5 | 5 | 5 | 5 | 5 | |||
Directors concurrently engaged in business execution | 4 | 3 | 3 | 3 | 3 | |||
Ratio of Directors concurrently engaged in business execution | % | 30.8 | 23.1 | 25.0 | 23.1 | 23.1 | ||
Ratio of Independent Outside Directors | 46.1 | 46.1 | 50.0 | 53.8 | 53.8 | |||
Ratio of Female Directors | 15.3 | 15.3 | 16.6 | 23.1 | 38.5 | |||
Average tenure of Directors*2 | Years | 1.5 | 1.92 | 2.75 | 3.46 | 3.85 | ||
Average age of Directors | Age | 62.9 | 64.0 | 63.9 | 64.5 | 64.2 |
Record of Board of Directors Meetings (Including Extraordinary Meetings) KHI
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Board meetings held | Number of times | 14 | 13 | 16 | 16 |
Average attendance rate of all Directors | % | 100 | 100 | 100 | 99.5 |
Average attendance rate of Outside Directors | % | 100 | 100 | 100 | 99.1 |
Average attendance rate of all Audit & Supervisory Board Members | % | 100 | 100 | 100 | 100 |
Average attendance rate of all Outside Audit & Supervisory Board Members | % | 100 | 100 | 100 | 100 |
Record of Audit & Supervisory Board and Audit & Supervisory Committee Meetings KHI
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of Auditor meetings | Number of times | 5 | - | - | - |
Attendance rate of Auditors | % | 100 | - | - | - |
Attendance rate of Outside Auditors | % | 100 | - | - | - |
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of Audit & Supervisory Board Meetings | Number of times | 13 | 17 | 14 | 15 |
Attendance rate of Audit & Supervisory Board Meetings | % | 100 | 100 | 100 | 98.7 |
Attendance rate of Outside Audit & Supervisory Committee Members | % | 100 | 100 | 100 | 100 |
Composition of Nomination Advisory Committee and Compensation Advisory Committee and Record of Meetings KHI
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|
Nomination Advisory Committee | Internal Directors | Persons | 2 | 2 | 2 | 2 |
Independent Outside Directors | 3 | 3 | 3 | 3 | ||
Total | 5 | 5 | 5 | 5 | ||
Number of times held | Number of times | 12 | 12 | 12 | 10 |
|
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|
Compensation Advisory Committee | Internal Directors | Persons | 2 | 2 | 2 | 2 |
Independent Outside Directors | 3 | 3 | 3 | 3 | ||
Total | 5 | 5 | 5 | 5 | ||
Number of times held | Number of times | 12 | 12 | 7 | 7 |
Independent Auditor Compensation Consolidated
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Compensation based on audit certification services | Millions of yen | 253 | 421 | 388 | 407 |
Kawasaki Heavy Industries Ltd. | Millions of yen | 205 | 334 | 298 | 305 |
Consolidated subsidiaries | Millions of yen | 48 | 87 | 90 | 101 |
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Compensation based on non-audit services | Millions of yen | 261 | 234 | 224 | 266 |
Kawasaki Heavy Industries Ltd. | Millions of yen | 258 | 231 | 221 | 263 |
Consolidated subsidiaries | Millions of yen | 2 | 2 | 2 | 2 |
Director Compensation (Fiscal 2023) KHI
(FY)
|
Number of recipients (persons) | Unit | Total compensation | Total compensation by type | ||
---|---|---|---|---|---|---|
Monetary compensation | Stock compensation | |||||
Basic compensation | Performance-based compensation | |||||
Directors (excluding Audit & Supervisory Committee Members and Outside Directors) | 4 | Millions of yen | 389 | 201 | 115 | 72 |
Audit & Supervisory Committee Members (excluding Outside Directors) | 2 | Millions of yen | 73 | 73 | - | - |
Outside Directors | 7 | Millions of yen | 99 | 99 | - | - |
Comparison of Total Compensation of the Representative Director, President and Chief Executive Officer with Average Employee Salary (Fiscal 2023) KHI
(FY)
Name | Position | Unit | Total compensation | Basic compensation | Performance-based compensation | Stock compensation |
---|---|---|---|---|---|---|
Yasuhiko Hashimoto | Director | Millions of yen | 125 | 62 | 38 | 24 |
Average annual employee salary | Millions of yen | 8.1 | ||||
Ratio of President compensation and average annual employee salary | Times | 15.5 |
Compliance
Number of Compliance and Anti-bribery Violations Consolidated
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of serious compliance violations | Number of cases | 0 | 1 | 0 | 0 |
Number of anti-bribery violations | Number of cases | 0 | 0 | 0 | 0 |
Number of Whistle-Blowing Reports and Breakdown of Reports Consolidated
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Total number of Whistle-Blowing Reports* | Number of cases | 39 | 55 | 54 | 76 |
Abuse of authority | Number of cases | 15 | 23 | 19 | 22 |
Labor issues | Number of cases | 14 | 19 | 13 | 18 |
Financial fraud | Number of cases | 1 | 0 | 1 | 6 |
Sexual harassment | Number of cases | 1 | 1 | 0 | 6 |
Threats and harassment | Number of cases | 0 | 0 | 0 | 0 |
Bribery and corruption | Number of cases | 0 | 0 | 0 | 0 |
Others | Number of cases | 8 | 12 | 21 | 24 |
Number of Consultations Made to Other Reporting Systems Overseas Group
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of consultations made to Global Internal Reporting System | Number of cases | 0 | 0 | 0 | 0 |
KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of consultations regarding harassment | Number of cases | 15 | 9 | 57 | 66 |
Number of Employees Who Underwent Compliance Education (e-Learning) Consolidated
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of employees who underwent compliance education*1 | Persons | 0 | 17,393 | 17,860 | 29,422 |
Number of employees taking the Code of Conduct training*2 | Persons | - | - | 3,447 | - |
Expenditures to External Organizations KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Total political contributions | Millions of yen | 3 | 3 | 3 | 3 |
Total expenditures to industry organizations*1 *2 | Millions of yen | 68.0 | 68.0 | 98.6 | 112.4 |
Total expenditures for donations, support funding, etc.*3 | Millions of yen | 160 | 111 | 278 | 263 |
Information Security
Information Security Education and Training Domestic Group
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Information security training participants | Persons | 17,779 | 19,033 | 9,803 | 17,053 |
Number of persons subject to training drills using simulated targeted attack phishing emails | Persons | - | - | 2,308 | 6,876 |
Research and Development
R&D Expense Consolidated
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Total | Billions of yen | 44.9 | 47.1 | 50.7 | 53.3 |
Percentage of sales | % | 3.0 | 3.1 | 2.9 | 2.9 |
Number of employees engaged in R&D | Persons | 1,956 | 2,000 | 2,098 | 2,159 |
Third-Party Assurance/Verification
- The data with a star (★) have been externally assured by KPMG AZSA Sustainability Co., Ltd. in accordance with International Standard on Assurance Engagements (ISAE) 3000 issued by the International Auditing and Assurance Standards Board. In addition, social indicators (Number of labor accidents, Number of occupational fatalities, and Lost Time Injury Frequency Rate; LTIFR) have been subject to third-party assurance since fiscal 2022.
Independent Assurance Report - The data with a check mark (☑) received third-party verification by SGS Japan Inc. up to and including fiscal 2022. Since fiscal 2023, this data has received third-party assurance from KPMG AZSA Sustainability Co., Ltd.
Boundary of aggregation for each data type: Legend
Non-consolidated basis KHI
Including KRM and KMC KHI, KRM, KMC
Including domestic subsidiaries Domestic Group
Overseas subsidiaries only Overseas Group
Consolidated basis Consolidated
Environment
Environmental Management
Employees with Legal Qualifications KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|
Pollution control managers | Air | Persons | 97 | 97 | 98 | 102 |
Water | Persons | 85 | 88 | 87 | 88 | |
Noise, vibration | Persons | 37 | 35 | 36 | 34 | |
Others | Persons | 78 | 79 | 81 | 81 | |
Total | Persons | 297 | 299 | 302 | 305 | |
Energy managers | Persons | 95 | 97 | 110 | 115 |
Environment-related Expenses KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Capital investments | Millions of yen | 9 | 47 | 1,661 | 839 |
Operating expenses | Millions of yen | 8,631 | 8,708 | 12,458 | 11,061 |
Environmental Compliance KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Violation of environmental laws and regulation | Number of cases | 0 | 0 | 0 | 0 |
Violation concerning water quality and quantity | Number of cases | 0 | 0 | 0 | 0 |
Incident and contamination that lead to environmental problems | Number of cases | 0 | 1 | 2 | 1 |
Complaints about environmental problems | Number of cases | 2 | 4 | 2 | 3 |
Amount of fine | Millions of yen | 0 | 0 | 0 | 0 |
CO2 FREE
CO2 Emissions (Scope 1, Scope 2) Consolidated
(FY)
|
Unit | 2020*1 | 2021*2 | 2022*3 | 2023*4 | |
---|---|---|---|---|---|---|
Scope 1 | t | 139,502 ☑ | 134,855 ☑ | 136,736 ☑ | 134,912★ | |
Scope 2 | Market-based | t | 255,039 ☑ | 267,171 ☑ | 246,083 ☑ | 281,401★ |
Location-based | t | 276,064 | 284,922 | 349,299 | 283,290 | |
Total amount of Scope 1 and Scope 2 | Market-based | t | 394,541 | 402,026 | 382,819 | 416,313 |
Location-based | t | 415,566 | 419,777 | 486,035 | 418,202 |
Energy Consumption Consolidated
(FY)
|
Unit | 2020*1 | 2021*2 | 2022*3 | 2023*4 |
---|---|---|---|---|---|
Total non-renewable energy consumption | MWh | 1,455,895 | 1,341,737 | 1,317,527 | 1,363,002★ |
Total renewable energy consumption | MWh | 1,637 | 2,405 | 13,538 | 10,488 |
CO2 Emissions (Scope 3) KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
1. Purchased goods and services | t | 1,464,830 ☑ | 2,393,525 ☑ | 2,791,420 ☑ | 3,829,334★ |
2. Capital goods | t | 128,255 | 180,202 | 265,678 | 308,023 |
3. Fuel- and energy-related activities not included under Scope 1 or Scope 2 | t | 34,798 | 31,298 | 30,045 | 60,633 |
4. Upstream transportation and distribution | t | 8,536 | 7,824 | 7,072 | 940,722*5 |
5. Waste generated in operations | t | 10,760 | 7,577 | 8,540 | 10,149 |
6. Business travel | t | 5,152 | 6,661 | 10,605 | 13,817 |
7. Employee commuting | t | 6,885 | 6,782 | 6,914 | 7,089 |
8. Upstream leased assets | t | 0 | 0 | 0 | 0 |
9. Downstream transportation and distribution | t | 393 | 806 | 4,239 | 721 |
10. Processing of sold products | t | Excluded*1 | Excluded*1 | 42,644 | 2,084 |
11. Use of sold products*3 *4 | t | 121,810,449 ☑ | 21,870,760 ☑ | 28,937,027 ☑ | 32,650,318★ |
12. End-of-life treatment of sold products | t | Excluded*1 | Excluded*1 | 1,924 | 2,558 |
13. Downstream leased assets | t | Excluded*2 | Excluded*2 | Excluded*2 | Excluded*2 |
14. Franchises | t | Excluded*2 | Excluded*2 | Excluded*2 | Excluded*2 |
15. Investments | t | 145,638 | 158,308 | 154,077 | 3,965 |
Total amount of Scope 3*3 | t | 123,615,696 | 24,663,743 | 32,260,185 | 37,829,413 |
Waste FREE
Amount of Raw Materials Input KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Steel material | kt | 110 | 110 | 110 | 110 |
Plastic | kt | - | - | - | 0.674 |
Waste (Total Generated) Consolidated
(FY)
|
Unit | 2020*1 | 2021*2 | 2022*3 | 2023 |
---|---|---|---|---|---|
Overall | t | 62,648 | 58,844 | 58,492 | 70,726*4 |
Domestic Group | t | - | - | - | 47,465★ |
Waste KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022*1 | 2023 |
---|---|---|---|---|---|
Total generated | t | 44,578 | 42,772 | 41,442 | 40,165★ |
Waste recycled | t | 43,487 | 41,796 | 40,504 | 39,195★ |
Waste disposed (landfill disposal) | t | 166 | 67 | 47 | 39★ |
Waste reduction amount | t | 925 | 909 | 891 | 931★ |
Hazardous Waste KHI, KRM, KMC
(FY)
|
Unit | 2020*1 | 2021*1 | 2022*1 | 2023*1 |
---|---|---|---|---|---|
Total generated | t | 1,524 | 1,369 | 1,405 | 1,402★ |
Waste recycled*2 | t | 1,523 | 1,368 | 1,404 | 1,402★ |
Waste disposed (landfill disposal) | t | 0 | 0 | 0 | 0★ |
Waste reduction amount | t | 1 | 1 | 1 | 0★ |
Water Resources KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Water withdrawal | Million m3 | 5.633 | 5.629 | 5.510 | 5.496★ |
Breakdown of water withdrawal (clean water) | Million m3 | 0.491 | 0.539 | 0.564 | 0.552★ |
Breakdown of water withdrawal (industrial water) | Million m3 | 0.992 | 1.034 | 1.039 | 1.091★ |
Breakdown of water withdrawal (groundwater) | Million m3 | 4.150 | 4.056 | 3.908 | 3.853★ |
Water discharged | Million m3 | 4.445 | 3.282 | 3.304 | 4.183★ |
Breakdown of water discharged (sewerage) | Million m3 | - | - | 0.872 | 0.963 |
Breakdown of water discharged (rivers, lakes, ponds , etc.) | Million m3 | - | - | 2.433 | 3.220 |
Water consumed | Million m3 | 1.188 | 2.347 | 2.206 | 1.313 |
Harm FREE
Major VOCs Emissions (Toluene, Xylene, and Ethylbenzene) KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022*1 | 2023 |
---|---|---|---|---|---|
Major VOCs emissions | t | 634 | 642 | 576 | 629★ |
Air Pollutants Emissions KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Sulfur oxides (SOx) | t | 6.0 | 1.0 | 0.7 | 0.9 |
Nitrogen oxides (NOx) | t | 120.0 | 103.0 | 84.0 | 74.7 |
Environment Data
Environmental Data by Business Site (Fiscal2023) KHI, KRM, KMC
|
Unit | Gifu Works | Nagoya Works 1&2 | Kobe Works | Hyogo Works | Nishi-Kobe Works | |
---|---|---|---|---|---|---|---|
INPUT | Total energy (heat conversion) | TJ | 910 | 136 | 242 | 86 | 371 |
Purchased electricity | MWh | 77,083 | 32,694 | 25,091 | 15,004 | 80,063 | |
Fuel | TJ | 633 | 16 | 152 | 31 | 80 | |
Renewable energy | MWh | 0 | 737 | 23 | 13 | 648 | |
Water withdrawal | 1,000m3 | 3,784 | 53 | 221 | 51 | 172 | |
OUTPUT (Air) |
CO2 emissions from energy sources | t | 66,674 | 16,066 | 18,818 | 6,115 | 38,585 |
SOx | t | Under 1 | Under 1 | Under 1 | 0 | 0 | |
NOx | t | 25 | 1 | 40 | Under 1 | 1 | |
Soot and dust | t | Under 1 | Under 1 | Under 1 | Under 1 | Under 1 | |
OUTPUT (Water) |
Water discharged | 1,000m3 | 2,902 | 13 | 165 | 39 | 117 |
COD | t | 3 | Under 1 | Under 1 | Under 1 | 0 | |
Nitrogen | t | 16 | Under 1 | Under 1 | Under 1 | 0 | |
Phosphorus | t | Under 1 | Under 1 | 0 | Under 1 | 0 | |
OUTPUT (Waste) |
Total generated | t | 3,372 | 438 | 5,079 | 3,263 | 5,000 |
Recycled | t | 3,372 | 438 | 5,077 | 3,263 | 4,998 | |
Others (incinerated/landfilled) | t | Under 1 | Under 1 | 2 | 0 | 2 |
|
Unit | Seishin Works | Akashi Works | Kakogawa Works | Harima Works | Sakaide Works | |
---|---|---|---|---|---|---|---|
INPUT | Total energy (heat conversion) | TJ | 157 | 1,008 | 24 | 64 | 121 |
Purchased electricity | MWh | 24,640 | 98,673 | 1,632 | 9,840 | 27,888 | |
Fuel | TJ | 61 | 652 | 18 | 27 | 21 | |
Renewable energy | MWh | 1,782 | 287 | 0 | 451 | 0 | |
Water withdrawal | 1,000m3 | 107 | 747 | 3 | 48 | 305 | |
OUTPUT (Air) |
CO2 emissions from energy sources | t | 13,618 | 76,962 | 1,583 | 4,290 | 13,854 |
SOx | t | 0 | 0 | 0 | 0 | Under 1 | |
NOx | t | Under 1 | 7 | 0 | Under 1 | Under 1 | |
Soot and dust | t | 0 | 1 | 0 | Under 1 | Under 1 | |
OUTPUT (Water) |
Water discharged | 1,000m3 | 107 | 530 | 3 | 12 | 289 |
COD | t | 0 | 0 | 0 | Under 1 | Under 1 | |
Nitrogen | t | 2 | 0 | Under 1 | Under 1 | Under 1 | |
Phosphorus | t | Under 1 | 0 | Under 1 | Under 1 | Under 1 | |
OUTPUT (Waste) |
Total generated | t | 1,121 | 8,669 | 600 | 3,286 | 10,687 |
Recycled | t | 1,121 | 8,669 | 599 | 3,257 | 9,752 | |
Others (incinerated/landfilled) | t | 0 | Under 1 | 1 | 29 | 935 |
Environmental Data Calculation Criteria
Data indicator | Unit | Calculation criteria | |
---|---|---|---|
CO2 Emissions (Scope 1, Scope 2) | Scope 1 | t | We calculated using emissions factors in the List of Calculation Methods and Emission Coefficients (December 12, 2023) based on the Greenhouse Gas Emissions Accounting, Reporting, and Disclosure System of the Act on Promotion of Global Warming Countermeasures (if unique supplier emissions factors are unknown, alternative values are used). |
For city gas, we calculated using the emissions factors in the Emissions Coefficients by Gas Company (For Calculating Greenhouse Gas Emissions from Specific Emitters) FY2023 Supply Results (June 28, 2024) (if unique supplier emissions factors are unknown, alternative values are used). | |||
Scope2 | t | Market-based
Domestic electricity emissions factors are calculated using the Emissions Coefficients by Electric Power Company (For Calculating Greenhouse Gas Emissions from Specific Emitters) FY2023 Results (July 19, 2024) (if unique supplier emissions factors are unknown, alternative values are used). For overseas, calculations are based on the emissions factors specified in Emission Factors 2023 issued by the International Energy Agency (IEA), and if unique supplier emissions factors are known, those values are used. For steam and cold water, we calculated using the emissions factors in the Emissions Factors by Heat Supply Company (For Calculating Greenhouse Gas Emissions from Specific Emitters) FY2022 Supply Results (July 12, 2024) (if unique supplier emissions factors are unknown, alternative values are used). |
|
Location-based
Domestic electricity emissions factors are calculated using the nationwide average factor in the Emissions Factors by Electric Power Company (For Calculating Greenhouse Gas Emissions from Specific Emitters) FY 2023 Results (July 19, 2024). For overseas, calculations are based on the emissions factors specified in Emission Factors 2023 issued by the International Energy Agency (IEA), and if unique supplier emissions factors are known, those values are used. For steam and cold water, we calculated using the emissions factors of alternative values in the Emissions Factors by Heat Supply Company (For Calculating Greenhouse Gas Emissions from Specific Emitters) FY 2022 Supply Results (July 12, 2024). |
|||
Energy Consumption | Total non-renewable energy consumption | MWh | We calculated based on the unit calorific value in the List of Calculation Methods and Emission Coefficients (December 12, 2023) based on the Greenhouse Gas Emissions Accounting, Reporting, and Disclosure System of the Act on Promotion of Global Warming Countermeasures, with fuels specified in the Act on Rational Use of Energy and Shift to Non-fossil Energy covered. For city gas, calculated using the unit calorific values announced by each company.
The unit calorific value for electricity is calculated using 3.6 MJ/kWh. |
Total renewable energy consumption | MWh | We calculated as total electric power derived from renewable energy. | |
Waste | Waste (total generated) | t | We calculated as the total weight of industrial waste, hazardous waste, and valuable materials released from business sites. |
Waste generated | t | We calculated as the total weight of industrial waste (excluding hazardous waste) and valuable materials. Volume generated. | |
Waste recycled | t | We calculated as the total weight of industrial waste (excluding hazardous waste) that has been thermally recycled or subject to material recycling through intermediate treatment and valuable materials. | |
Waste disposed (landfill disposal) | t | We calculated as the weight of industrial waste (excluding hazardous waste) that was directly and finally disposed of in landfills. | |
Waste reduction amount | t | The total weight of industrial waste (excluding hazardous waste) subject to reduction | |
Hazardous waste generated | t | The amount of hazardous waste specified in the regulations of each country generated | |
Water Resources | Water withdrawal (total amount) | Million m3 | We calculated as the total amount of purchased clean water and industrial water and groundwater withdrawn at sites. |
Breakdown of water withdrawal (clean water) | Million m3 | Amount of municipal water purchased | |
Breakdown of water withdrawal (industrial water) | Million m3 | Amount of industrial water purchased | |
Breakdown of water withdrawal (groundwater) | Million m3 | Amount of groundwater withdrawn | |
Water discharged (total amount) | Million m3 | We calculated as the total amount of water discharged into public water areas, sewer systems, and so on. For sites that do not measure to amount of water discharged, the amount of water withdrawal is considered to be amount of water discharged. | |
Breakdown of water discharged (sewerage) | Million m3 | Amount of water discharged into sewer systems | |
Breakdown of water discharged (rivers, lakes, ponds , etc.) | Million m3 | Amount of water discharged into rivers, lakes, and oceans | |
Water consumed | Million m3 | We calculated by subtracting the amount of water discharged from the amount of water withdrawal. | |
Major VOCs | Major VOCs emissions | t | Among organic compounds (VOCs) that volatilize at room temperature, we calculated as the total amount of toluene, xylene, and ethylbenzene. |
CO2 Emissions (Scope 3)
Data indicator | Unit | Calculation criteria |
---|---|---|
Category 1
Purchased goods and services |
t-CO2 | Σ {(Monetary amount of goods and services purchased or acquired × Emissions intensity)}
Values used for emission intensity (monetary amount) calculations are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024. |
Category 2
Capital goods |
t-CO2 | Σ {(Value of capital goods) × (Emissions intensity)}
Values used for emission intensity calculations are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024. |
Category 3
Fuel- and energy-related activities not included under Scope 1 or Scope 2 |
t-CO2 | Σ {(Amount of purchased electricity) × (Emissions intensity)} + Σ {(Amount of heat purchased) × (Emissions intensity)} + Σ {(Amount of each fuel used) × (Emissions intensity)}
Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024 and IDEA v2.3 (for calculating supply chain greenhouse gas emissions). |
Category 4
Upstream transportation and distribution |
t-CO2 | Σ (Transportation distance ÷ Fuel × Emissions intensity)} + Σ {(Transportation ton-kilometers × Fuel consumption intensity based on the “Manual for Calculating and Reporting Greenhouse Gas Emissions (Ver. 5.0): ton-kilometer method” × Emissions intensity) + Σ (Transportation monetary amount × Emissions intensity)
Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024 and IDEA v2.3 (for calculating supply chain greenhouse gas emissions). |
Category 5
Waste generated in operations |
t-CO2 | Σ (Amount of waste by type × CO2 emissions intensity of waste by type)
Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024 and IDEA v2.3 (for calculating supply chain greenhouse gas emissions). |
Category 6
Business travel |
t-CO2 | (By means of travel)
Σ (Travel expenses provided × Emissions intensity) Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024. |
Category 7
Employee commuting |
t-CO2 | (By means of travel)
Σ (Expenses paid for transportation × Emissions intensity) Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024. |
Category 8
Upstream leased assets |
t-CO2 | Emissions from upstream leased assets are included (in Scope 1 and Scope 2 emissions)
(Since the monetary amounts of the relevant upstream leased assets are small) |
Category 9
Downstream transportation and distribution |
t-CO2 | Σ (Transportation distance ÷ Fuel × Emissions intensity)
Calculations are for transportation from domestic marketing bases to sales retail shops or directly to consumers for sale in BtoC business. |
Category 10
Processing of sold products |
t-CO2 | Collection of downstream data is difficult, and it is believed that the impact on the total Scope 3 volume is minimal, and therefore, Kawasaki heavy industries group does not perform calculations of category 10.
(This is because in downstream segments, most processing comprises assembly or installation of parts.) |
Category 11
Use of sold products |
t-CO2 | Σ (CO2 emissions in conjunction with the use of fuel at the time of use of products) + Σ (CO2 emissions in conjunction with the use of electricity at the time of use of products)
Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024. The total value obtained from multiplying the amount of activity (the amount of electric, steam, cold water and other utilities consumed during the use of final products sold annually) by the emissions intensity, year of service life, and operation rate Subject products: ships, rolling stock, aircraft, electric power generation equipment, ship propulsion equipment, boilers, absorption chiller/heaters, motorcycles, construction equipment parts, robots, crushing machines, sifters, plant equipment |
Category 12
End-of-life treatment of sold products |
t-CO2 | Σ {(Approximate weight of metal products) × (Emissions intensity)}
Values used for emission intensity are based on the values outlined in the Database on Emission Intensities for Calculating Organizational Greenhouse Gas Emissions, etc. through a Supply Chain Version 3.4 March 2024. |
Category 13
Downstream leased assets |
t-CO2 | Exempted (there are no relevant downstream leased asset). |
Category 14
Franchises |
t-CO2 | Exempted (there are no relevant operations). |
Category 15
Investments |
t-CO2 | Exempted (emissions from investments are extremely small). |
Third-Party Assurance/Verification
- The data with a star (★) have been externally assured by KPMG AZSA Sustainability Co., Ltd. in accordance with International Standard on Assurance Engagements (ISAE) 3000 issued by the International Auditing and Assurance Standards Board. In addition, social indicators (Number of labor accidents, Number of occupational fatalities, and Lost Time Injury Frequency Rate; LTIFR) have been subject to third-party assurance since fiscal 2022.
Independent Assurance Report
Boundary of aggregation for each data type: Legend
Non-consolidated basis KHI
Including KRM and KMC KHI, KRM, KMC
Including domestic subsidiaries Domestic Group
Overseas subsidiaries only Overseas Group
Consolidated basis Consolidated
Society
Employee Data
Number of Employees*1 Consolidated
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | ||
---|---|---|---|---|---|---|---|
Total employees | Overall | Persons | 36,691 | 36,587 | 38,254 | 39,689 | |
Male | Persons | - | - | - | 32,648 | ||
Female | Persons | - | - | - | 5,570 | ||
No aggregates collated*2 | Persons | - | - | - | 1,471 | ||
Domestic group | Persons | 26,901 | 26,596 | 27,583 | 28,099 | ||
% | 73.3 | 72.7 | 72.1 | 70.8 | |||
Male | Persons | - | - | - | 24,884 | ||
Female | Persons | - | - | - | 3,215 | ||
Overseas group | Persons | 9,790 | 9,991 | 10,671 | 11,590 | ||
% | 26.7 | 27.3 | 27.9 | 29.2 | |||
Male | Persons | - | - | - | 7,764 | ||
Female | Persons | - | - | - | 2,355 | ||
No aggregates collated*2 | Persons | - | - | - | 1,471 | ||
By region | Japan | Persons | 26,901 | 26,596 | 27,583 | 28,099 | |
% | 73.3 | 72.7 | 72.1 | 70.8 | |||
Europe | Persons | 702 | 757 | 761 | 692 | ||
% | 1.9 | 2.1 | 2.0 | 1.7 | |||
Americas | Persons | 4,015 | 4,194 | 4,886 | 5,774 | ||
% | 10.9 | 11.5 | 12.8 | 14.5 | |||
Asia | Persons | 5,033 | 5,001 | 4,985 | 5,087 | ||
% | 13.7 | 13.7 | 13.0 | 12.8 | |||
Australia | Persons | 40 | 39 | 39 | 37 | ||
% | 0.1 | 0.1 | 0.1 | 0.1 |
Employee Breakdown*1 KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | ||
---|---|---|---|---|---|---|---|
Status of employees | Number of employees | |
Persons | 17,396 | 17,162 | 17,413 | 17,968 |
Male | Persons | 15,876 | 15,688 | 15,883 | 16,362 | ||
% | 91.3 | 91.4 | 91.2 | 91.1 | |||
Female | Persons | 1,520 | 1,474 | 1,530 | 1,606 | ||
% | 8.7 | 8.6 | 8.8 | 8.9 | |||
Managerial staff | |
Persons | 3,732 | 3,664 | 3,865 | 4,107 | |
Male | Persons | 3,680 | 3,600 | 3,791 | 4,013 | ||
Female | Persons | 52 | 64 | 74 | 94 | ||
General employees | |
Persons | 13,664 | 13,498 | 13,548 | 13,861 | |
Male | Persons | 12,196 | 12,088 | 12,092 | 12,349 | ||
Female | Persons | 1,468 | 1,410 | 1,456 | 1,512 | ||
Average age | |
Years old | 39.7 | 40.1 | 40.6 | 40.8 | |
Male | Years old | 39.6 | 40.0 | 40.5 | 40.7 | ||
Female | Years old | 41.1 | 41.7 | 42.1 | 42.5 | ||
|
Unit | 2020 | 2021 | 2022 | 2023 | ||
By age*2 | 29 and younger | Persons | 3,529 | 3,737 | 3,608 | 3,983 | |
% | 20.3 | 21.8 | 20.7 | 22.2 | |||
Male | Persons | 3,268 | 3,467 | 3,328 | 3,664 | ||
Female | Persons | 261 | 270 | 280 | 319 | ||
30 to 39 | Persons | 5,504 | 5,427 | 5,432 | 5,554 | ||
% | 31.6 | 31.6 | 31.2 | 30.9 | |||
Male | Persons | 5,084 | 5,025 | 5,032 | 5,130 | ||
Female | Persons | 420 | 402 | 400 | 424 | ||
40 to 49 | Persons | 4,456 | 4,395 | 4,480 | 4,534 | ||
% | 25.6 | 25.6 | 25.7 | 25.2 | |||
Male | Persons | 3,989 | 3,941 | 4,024 | 4,056 | ||
Female | Persons | 467 | 454 | 456 | 478 | ||
50 to 59 | Persons | 3,367 | 3,229 | 3,397 | 3,356 | ||
% | 19.4 | 18.8 | 19.5 | 18.7 | |||
Male | Persons | 3,048 | 2,919 | 3,053 | 3,017 | ||
Female | Persons | 319 | 310 | 344 | 339 | ||
60 and above | Persons | 540 | 374 | 496 | 541 | ||
% | 3.1 | 2.2 | 2.8 | 3.0 | |||
Male | Persons | 487 | 336 | 446 | 495 | ||
Female | Persons | 53 | 38 | 50 | 46 | ||
|
Unit | 2020 | 2021 | 2022 | 2023 | ||
By position | Director, Audit & Supervisory Board Member*3 | Persons | 13 | 13 | 17 | 20 | |
Male | Persons | 11 | 11 | 15 | 17 | ||
% | 84.6 | 84.6 | 88.2 | 85.0 | |||
Female | Persons | 2 | 2 | 2 | 3 | ||
% | 15.4 | 15.4 | 11.8 | 15.0 | |||
Executive officer and above | Persons | 26 | 30 | 28 | 32 | ||
Male | Persons | 25 | 29 | 27 | 31 | ||
% | 96.2 | 96.7 | 96.4 | 96.9 | |||
Female | Persons | 1 | 1 | 1 | 1 | ||
% | 3.8 | 3.3 | 3.6 | 3.1 | |||
Senior manager equivalent *4 | Persons | 1,071 | 746 | 729 | 741 | ||
Male | Persons | 1,064 | 739 | 723 | 736 | ||
% | 99.3 | 99.1 | 99.2 | 99.3 | |||
Female | Persons | 7 | 7 | 6 | 5 | ||
% | 0.7 | 0.9 | 0.8 | 0.7 | |||
Manager equivalent | Persons | 2,527 | 2,918 | 3,136 | 3,362 | ||
Male | Persons | 2,482 | 2,861 | 3,068 | 3,274 | ||
% | 98.2 | 98.0 | 97.8 | 97.4 | |||
Female | Persons | 45 | 57 | 68 | 88 | ||
% | 1.8 | 2.0 | 2.2 | 2.6 | |||
Assistant manager equivalent | Persons | 2,203 | 2,403 | 2,450 | 2,572 | ||
Male | Persons | 2,068 | 2,254 | 2,296 | 2,402 | ||
% | 93.9 | 93.8 | 93.7 | 93.4 | |||
Female | Persons | 135 | 149 | 154 | 170 | ||
% | 6.1 | 6.2 | 6.3 | 6.6 |
Gender Pay Gap*1 Domestic Group
(FY)
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|
All employees (basic pay plus bonuses, etc.)*2 | % | - | - | - | 62.0 |
Average Annual Remuneration KHI, KRM, KMC
(FY)
Unit | 2020 | 2021 | 2022 | 2023 | ||
---|---|---|---|---|---|---|
All employees | Yen | 6,994,041 | 6,799,106 | 7,292,124 | 8,064,083 | |
Male | Yen | 7,127,317 | 6,998,061 | 7,511,997 | 8,312,912 | |
Female | Yen | 5,205,581 | 4,702,687 | 5,013,017 | 5,523,799 | |
Average for managerial staff (basic pay only) | Yen | 7,675,049 | 7,866,297 | 7,925,950 | 8,107,578 | |
Male | Yen | 7,682,983 | 7,882,082 | 7,943,055 | 8,123,345 | |
Female | Yen | 7,024,195 | 6,942,346 | 7,033,475 | 7,397,411 | |
Average for managerial staff (basic pay plus bonuses,etc) | Yen | 11,054,463 | 10,552,048 | 11,214,762 | 12,736,295 | |
Male | Yen | 11,069,911 | 10,574,624 | 11,238,581 | 12,765,053 | |
Female | Yen | 9,900,815 | 9,227,286 | 9,970,433 | 11,438,022 | |
Average for general employees (basic pay only) | Yen | 4,414,310 | 4,544,144 | 4,601,578 | 4,798,094 | |
Male | Yen | 4,474,728 | 4,666,906 | 4,731,098 | 4,931,428 | |
Female | Yen | 3,764,849 | 3,506,879 | 3,534,556 | 3,715,459 |
Human Resource Management
Number of New Hires*1 Consolidated
(FY)
Unit | 2021 | 2022 | 2023 | 2024 | |||
---|---|---|---|---|---|---|---|
Number of new hires | Overall | Persons | - | - | 4,364*3 | - | |
Male | Persons | - | - | 2,873 | - | ||
Female | Persons | - | - | 994 | - | ||
No aggregates collated*2 | Persons | - | - | 497 | - | ||
Domestic Group | Persons | - | - | 1,152*3 | 706*4 | ||
Male | Persons | - | - | 962 | 601 | ||
Female | Persons | - | - | 190 | 105 | ||
Overseas Group | Persons | - | - | 3,212 | - | ||
Male | Persons | - | - | 1,911 | - | ||
Female | Persons | - | - | 804 | - | ||
No aggregates collated*2 | Persons | - | - | 497 | - |
Number of Employees Hired KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|
New graduates hired* | Persons | 555 | 357 | 370 | 405 | 506 | |
Male | Persons | 498 | 323 | 333 | 376 | 449 | |
Female | Persons | 57 | 34 | 37 | 29 | 57 | |
Administrative and technical positions | |
Persons | 344 | 231 | 246 | 278 | 342 |
Male | Persons | 296 | 200 | 214 | 254 | 291 | |
Female | Persons | 48 | 31 | 32 | 24 | 51 | |
Production specialists | |
Persons | 211 | 126 | 124 | 127 | 164 |
Male | Persons | 202 | 123 | 119 | 122 | 158 | |
Female | Persons | 9 | 3 | 5 | 5 | 6 | |
Mid-career hires and ratio of mid-career hires to all new hires | |
Persons | 167 | 95 | 362 | 698 | - |
% | 23.1 | 21.0 | 49.5 | 63.3 | - | ||
Male | Persons | 136 | 72 | 284 | 589 | - | |
Female | Persons | 31 | 23 | 78 | 109 | - | |
Administrative and technical positions | |
Persons | 90 | 89 | 324 | 536 | - |
Male | Persons | 81 | 68 | 251 | 441 | - | |
Female | Persons | 9 | 21 | 73 | 95 | - | |
Production specialists | |
Persons | 59 | 6 | 38 | 162 | - |
Male | Persons | 54 | 4 | 33 | 148 | - | |
Female | Persons | 5 | 2 | 5 | 14 | - | |
Partner | |
Persons | 18 | - | - | - | - |
Male | Persons | 1 | - | - | - | - | |
Female | Persons | 17 | - | - | - | - | |
Average years of service | |
Years | 13.7 | 14.2 | 14.5 | 14.6 | - |
Male | Years | 14.0 | 14.5 | 14.9 | 15.0 | - | |
Female | Years | 10.3 | 10.8 | 10.9 | 10.9 | - |
Total Number of Resignations and Turnover Rate Consolidated
(FY)
Unit | 2020 | 2021 | 2022 | 2023 | ||
---|---|---|---|---|---|---|
Overall | Persons | - | - | - | 3,483 | |
% | - | - | - | 8.8 | ||
Male | Persons | - | - | - | 2,182 | |
Female | Persons | - | - | - | 666 | |
No aggregates collated* | Persons | - | - | - | 635 | |
Domestic Group | Persons | - | - | - | 979 | |
% | - | - | - | 3.5 | ||
Male | Persons | - | - | - | 836 | |
% | - | - | - | 3.4 | ||
Female | Persons | - | - | - | 143 | |
% | - | - | - | 4.4 | ||
KHI, KRM, KMC | Persons | - | 481 | 445 | 401 | |
% | - | 2.8 | 2.6 | 2.2 | ||
Male | Persons | - | 421 | 393 | 346 | |
% | - | 2.7 | 2.5 | 2.1 | ||
Female | Persons | - | 60 | 52 | 55 | |
% | - | 4.1 | 3.4 | 3.4 | ||
Overseas Group | Persons | - | - | - | 2,504 | |
% | - | - | - | 21.6 | ||
Male | Persons | - | - | - | 1,346 | |
Female | Persons | - | - | - | 523 | |
No aggregates collated* | Persons | - | - | - | 635 |
Number of Employees Voluntarily Resigning and Turnover Rate*1 *2 Domestic Group
(FY)
Unit | 2020 | 2021 | 2022 | 2023 | ||
---|---|---|---|---|---|---|
Domestic Group | Persons | - | - | - | 576 | |
% | - | - | - | 2.0 | ||
Male | Persons | - | - | - | 484 | |
% | - | - | - | 1.9 | ||
Female | Persons | - | - | - | 92 | |
% | - | - | - | 2.9 | ||
KHI, KRM, KMC | Persons | 205 | 313 | 321 | 294 | |
% | 1.2 | 1.8 | 1.8 | 1.6 | ||
Male | Persons | 179 | 275 | 282 | 253 | |
% | 1.1 | 1.8 | 1.8 | 1.5 | ||
Female | Persons | 26 | 38 | 39 | 41 | |
% | 1.7 | 2.6 | 2.5 | 2.6 | ||
29 and younger | Persons | 109 | 162 | 147 | 134 | |
% | 3.1 | 4.3 | 4.1 | 3.4 | ||
Male | Persons | 99 | 146 | 127 | 113 | |
% | 3.0 | 4.2 | 3.8 | 3.1 | ||
Female | Persons | 10 | 16 | 20 | 21 | |
% | 3.8 | 5.9 | 7.1 | 6.6 | ||
30 to 39 | Persons | 63 | 105 | 129 | 122 | |
% | 1.1 | 1.9 | 2.4 | 2.2 | ||
Male | Persons | 52 | 89 | 117 | 107 | |
% | 1.0 | 1.8 | 2.3 | 2.1 | ||
Female | Persons | 11 | 16 | 12 | 15 | |
% | 2.6 | 4.0 | 3.0 | 3.5 | ||
40 to 49 | Persons | 28 | 29 | 34 | 31 | |
% | 0.6 | 0.7 | 0.8 | 0.7 | ||
Male | Persons | 25 | 24 | 28 | 29 | |
% | 0.6 | 0.6 | 0.7 | 0.7 | ||
Female | Persons | 3 | 5 | 6 | 2 | |
% | 0.6 | 1.1 | 1.3 | 0.4 | ||
50 and above | Persons | 5 | 17 | 11 | 7 | |
% | 0.1 | 0.5 | 0.3 | 0.2 | ||
Male | Persons | 3 | 16 | 10 | 4 | |
% | 0.1 | 0.5 | 0.3 | 0.1 | ||
Female | Persons | 2 | 1 | 1 | 3 | |
% | 0.5 | 0.3 | 0.3 | 0.9 |
Employee Engagement Survey Results*1 Domestic Group
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of companies surveyed*2 | Companies | 1 | 6 | 8 | 19 |
Response rate | % | 80 | 85 | 89 | 88 |
Supportive environment*3 | % | 52 | 55 | 51 | 52 |
Employee engagement*4 | % | 59 | 51 | 53 | 54 |
Ratio of employees for whom both "supportive environment" and "employee engagement" are high*5 | % | 29 | 28 | 28 | 29 |
KHI, KRM, KMC | % | 29 | 28 | 29 | 30 |
Diversity
Number of Foreign National Employees KHI, KRM, KMC
(FY)
Unit | 2020*1 | 2021*1 | 2022*1 | 2023*2 | |
---|---|---|---|---|---|
Number of foreign national employees | Persons | 35 | 36 | 34 | 48 |
Number of foreign national employees in managerial positions | Persons | - | - | - | 2 |
Number and Percentage of Employees with Disabilities*1 *2 KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
Employees with disabilities*2 | Persons | 473 | 473 | 459 | 484 | 518 |
Percentage of employees with disabilities | % | 2.50 | 2.49 | 2.44 | 2.52 | 2.60 |
Number of Women in Managerial Positions Domestic Group
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of women in managerial positions | Persons | - | - | - | 170 |
Proportion of women in managerial positions | % | - | - | - | 2.7 |
Number of Women in Managerial Positions by Position*1 *2 KHI, KRM, KMC
(FY)
Unit | 2020 | 2021 | 2022 | 2023 | 2024 | ||
---|---|---|---|---|---|---|---|
Number of women in managerial positions | Persons | 57 | 66 | 79 | 101 | 122 | |
Proportion of women in managerial positions | % | - | - | - | 2.1 | 2.4 | |
Proportion of women in managerial positions by position | Executive officer and above*3 | Persons | - | - | - | 1 | 1 |
% | - | - | - | 3.0 | 3.4 | ||
Senior manager equivalent | Persons | - | - | - | 8 | 7 | |
% | - | - | - | 0.8 | 0.7 | ||
Manager equivalent | Persons | - | - | - | 92 | 114 | |
% | - | - | - | 2.5 | 2.8 | ||
Proportion of women in managerial positions in revenue-generating functions | Persons | - | - | - | - | 63 | |
% | - | - | - | - | 1.5 |
Number of Women in Technical Positions KHI, KRM, KMC
(FY)
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|
Number of women in technical positions | Persons | - | - | - | 252 |
Proportion of women in technical positions | % | - | - | - | 5.3 |
Work-life Balance
Usage of Work-Life Balance Programs KHI, KRM, KMC
(FY)
Unit | 2020 | 2021*1 | 2022 | 2023 | ||
---|---|---|---|---|---|---|
Employees using the childcare leave | Persons | 84 | 112 | 169 | 216 | |
Male | Persons | 38 | 58 | 122 | 169 | |
Female | Persons | 46 | 54 | 47 | 47 | |
Rate at which male employees take childcare leave | % | 5.4 | 7.7 | 17.9 | 25.0 | |
Employees using the care leave | Persons | 5 | 6 | 5 | 6 | |
Male | Persons | 3 | 3 | 2 | 3 | |
Female | Persons | 2 | 3 | 3 | 3 | |
Return rate after childcare leave | % | 96 | 100 | 100 | 100 | |
Retention rate after childcare leave | % | 95 | 100 | 95.3 | -*2 |
Annual Paid Leave Usage KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Number of used paid leaves* | Days /person | 15.9 | 16.6 | 18.0 | 18.5 |
Paid leave usage rate | % | 72.3 | 75.4 | 81.8 | 84.1 |
Total annual work hours | Hours /person | 1,953 | 1,997 | 2,001 | 1,986 |
Total annual overtime hours | Hours /person | 206.4 | 261.4 | 272.0 | 263.9 |
Human Resource Development
Education and Training Expenses KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Education and training expenses per employee | Yen/person | 27,000 | 27,000 | 27,000 | 31,500 |
Education and training hours per employee | Hours/person | 32 | 32 | 32 | 33 |
Total education and training hours | Hours | - | 547,000 | 553,000 | 580,300 |
Occupational Safety, Hygiene, and Health
Status of Labor Accidents and Work-related Illnesses Domestic Group
(Jan.-Dec.)*1
|
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|
Number of labor accidents*2 | Total | Number of incidents | 77 | 87 | 94 | 106★ |
Under Kawasaki’s overall supervision*5 | Number of incidents | 48 | 58 | 49 | 56★ | |
Domestic consolidated subsidiaries*6 | Number of incidents | 29 | 29 | 45 | 50★ | |
Number of occupational fatalities*3 | Total | Persons | 0 | 1 | 0 | 0★ |
Under Kawasaki's overall supervision*5 | Persons | 0 | 1 | 0 | 0★ | |
Employees | Persons | 0 | 1 | 0 | 0★ | |
Contractors*7 | Persons | 0 | 0 | 0 | 0★ | |
Domestic consolidated subsidiaries*6 | Persons | 0 | 0 | 0 | 0★ | |
Lost Time Injury Frequency Rate (LTIFR)*4 | Under Kawasaki’s overall supervision*5 | - | 0.34 | 0.31 | 0.30 | 0.23★ |
Employees | - | 0.21 | 0.12 | 0.21 | 0.14★ | |
Contractors*7 | - | 0.74 | 0.93 | 0.61 | 0.53★ | |
(Reference) Industry average*8 | - | 1.95 | 2.09 | 2.06 | 2.14 | |
(Reference) Manufacturing industry average*8 | - | 1.21 | 1.31 | 1.25 | 1.29 |
Status of Sanitation Management KHI, KRM, KMC
(Jan.-Dec.)
|
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|
Sick leave rate (case basis)*1 | - | 4.8 | 4.6 | 14.6 | 11.2 | |
Mental health-related sick leave frequency (case basis)*2 | - | 0.43 | 0.50 | 0.60 | 0.63 | |
Mental health issues (Situational/Acute) | Cases | 84 | 99 | 120 | 129 | |
Other psychological disorders | Cases | 7 | 7 | 5 | 7 | |
Absence rate (day basis)*3 | Leave due to mental health issues*4 | - | 4.6 | 5.0 | 6.4 | 5.9 |
Overall sick leave | - | 7.5 | 7.8 | 12.1 | 10.4 |
Health Management KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021*2 | 2022*2 | 2023*2 |
---|---|---|---|---|---|
Health score*1 | - | - | 3.90 | 3.93 | 3.91 |
Percentage taking regular physical checkups | % | 99.8 | 98.4 | 99.0 | 98.6 |
Business and Human Rights
Labor Union Data KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021*1 | 2022 | 2023 |
---|---|---|---|---|---|
Number of members | Persons | 13,459 | 12,880 | 13,184 | 13,421 |
Composition ratio*2 | % | 78.7 | 75.0 | 77.3 | 76.4 |
Number of labor discussions | Number | 44 | 38 | 28 | 29 |
Number of Employees Who Underwent Training on Harassment Domestic Group
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Participants | Persons | 17,494 | - | 20,385 | - |
Attendance rate* | % | 88.1 | - | 91.3 | - |
Number of Employees Who Underwent Training on Business and Human Rights Training Domestic Group
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Participants | Persons | 191 | 13,245 | - | 10,336 |
Attendance rate* | % | - | - | - | 84.7 |
Social Contribution Activities
Social Contribution Activities by Type*1 KHI
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Donations and philanthropy | % | 37.69 | 31.96 | 29.70 | 34.60 |
Investments (ongoing partnerships with NGOs, etc.) | % | 43.72 | 50.34 | 54.09 | 50.45 |
Advertising and marketing (support funding, campaigns, etc.) | % | 18.59 | 17.70 | 16.21 | 14.95 |
Total*2 | % | 100 | 100 | 100 | 100 |
Social Contribution Activities Expenditure*1 KHI
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 | |
---|---|---|---|---|---|---|
Total*2 | Millions of yen | 679 | 661 | 802 | 941 | |
Breakdown by category | Vitalization of industry and economy | Millions of yen | 199 | 217 | 332 | 373 |
Communities | Millions of yen | 184 | 204 | 191 | 207 | |
Education | Millions of yen | 215 | 148 | 155 | 192 | |
Culture and sports | Millions of yen | 57 | 55 | 87 | 99 | |
Welfare and humanitarian aid (including disaster relief) | Millions of yen | 6 | 4 | 9 | 31 | |
Others (including environmental safety and disaster prevention) | Millions of yen | 18 | 33 | 28 | 39 | |
Expenditure type | Provision of funds | Millions of yen | 160 | 111 | 278 | 263 |
Provision of goods | Millions of yen | 194 | 226 | 192 | 193 | |
Employee volunteer activities | Millions of yen | 326 | 324 | 332 | 485 | |
Indirect management costs | Millions of yen | 0 | 0 | 0 | 0 |
Working with Suppliers
Number of Companies Responding to Sustainable Procurement Survey KHI, KRM, KMC
(FY)
|
Unit | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Domestic | Companies | - | 395 | - | 528 |
Overseas | Companies | 37 | - | - | 5 |