ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Sewage emission - The total amount of sewage emission | tonnes | 4964256 | 4226585 | 51 |
| The total amount of sewage emission/m² under construction | tonnes/m² | 0.17 | 0.13 | 51 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| GHG emissions/m² under construction | kilograms CO2 equivalent/m² | 0.71 | 0.64 | 54 |
| Purchased electricity - Office Operation | MWh | 300 | 53 | |
| Scope 1: Direct GHG emissions - Office Operation | tonnes of CO2 equivalent | 57 | 53 | |
| Scope 1: Direct GHG emissions - Project construction | tonnes of CO2 equivalent | 2052 | 53 | |
| Scope 2: Indirect GHG emissions - Office Operation | tonnes of CO2 equivalent | 211 | 53 | |
| Scope 2: Indirect GHG emissions - Project construction | tonnes of CO2 equivalent | 19441 | 53 | |
| Total GHG emissions | tonnes of CO2 equivalent | 20723 | 21761 | 54 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Office Operation - Used batteries | pieces | 600 | 672 | 51 |
| Office Operation - Used fluorescent lamps or power-saving fluorescent lamps | pieces | 40 | 225 | 51 |
| Office Operation - Used toner cartridge and drum cartridge | tonnes | 0.24 | 0.05 | 51 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Office Operation - Office waste | tonnes | 31 | 87 | 51 |
| Project construction - Earthwork waste | m³ | 4274652 | 4140593 | 51 |
| Project construction - Kitchen waste | tonnes | 5620 | 4908 | 51 |
| Project construction - Other building waste | tonnes | 141057 | 51 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Comprehensive energy consumption | KWh | 41506377 | 43247147 | 54 |
| Comprehensive energy consumption/m² under construction | KWh/m² | 1.43 | 1.28 | 54 |
| Liquefied petroleum gas (LPG) - Project construction | litres | 1074 | 53 | |
| Petrol - Office Operation | litres | 25860 | 53 | |
| Petrol - Project construction | litres | 96561 | 53 | |
| Purchased electricity - Project construction | MWh | 33199 | 53 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Total water consumption | tonnes | 10261367 | 9017560 | 54 |
| Total water consumption/m² under construction | tonnes/m² | 0.35 | 0.27 | 54 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of material ESG issues of high importance | issues | 15 | 21 |
| Number of material ESG issues of medium importance | issues | 13 | 21 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| 2020 Extraordinary Employer TOP 100 | TOP100 | 11 | |
| Number of projects under construction | projects | 252 | 52 |
| Shanghai Top 100 Private Enterprises | ranking | 100 | 9 |
| Top 1 in Top 10 China Real Estate Development Companies in terms of growth potential | ranking | 1 | 9 |
| Total number of employees | employees | 13285 | 60 |
| Total number of employees by age: 30–39 years old | employees | 5960 | 60 |
| Total number of employees by age: 40–50 years old | employees | 776 | 60 |
| Total number of employees by age: Over 50 years old | employees | 122 | 60 |
| Total number of employees by age: Under 30 years old | employees | 6427 | 60 |
| Total number of employees by gender: Female | employees | 4981 | 60 |
| Total number of employees by gender: Male | employees | 8304 | 60 |
| Total number of employees by rank: General staff | employees | 11981 | 60 |
| Total number of employees by rank: Middle management | employees | 906 | 60 |
| Total number of employees by rank: Senior management | employees | 398 | 60 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Zhongliang Holdings Talents Training Camp number of new talents trained | people | 512 | 72 |
| Zhongliang Holdings Talents Training Camp number of new talents trained in Chengdu | people | 121 | 72 |
| Zhongliang Holdings Talents Training Camp number of new talents trained in Hangzhou | people | 81 | 72 |
| Zhongliang Holdings Talents Training Camp number of new talents trained in Nanjing | people | 135 | 72 |
| Zhongliang Holdings Talents Training Camp number of new talents trained in Shanghai | people | 175 | 72 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Top 1 Emerging Company on 2020 China Listed Companies Brand Value List | TOP1 | 11 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| China Real Estate Listed Companies Top 5 in Operating Performance | ranking | 5 | 9 |
| Number of provinces and cities covered by Zhongliang Book Reading project | provinces and cities | 14 | 91 |
| Top 20 of China Real Estate Developers in terms of comprehensive strength | ranking | 20 | 9 |
| Top 7 of the Medium-sized Enterprise Award of the Top 100 Hong Kong Listed Companies | ranking | 7 | 10 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Amount donated to Xuzhou High School Affiliated to Nanjing Normal University, Jiangsu | RMB | 850000 | 91 |
| Amount donated to local schools in Quzhou, Zhejiang for improvement and construction of charity libraries and teaching environment | RMB | 80000 | 91 |
| Amount donated to support the construction of Zhongliang Book Reading charity library in Yadong County, Tibet | million RMB | 1.5 | 91 |
| Number of books and sponsorships for teachers and students at Xuzhou High School Affiliated to Nanjing Normal University, Jiangsu | books and sponsorships | 15000 | 91 |
| Number of books donated to children of three schools in Lanping County, Nujiang Prefecture, Yunnan | books | 35000 | 91 |
| Number of primary and middle schools contributed to by Zhongliang Book Reading project | schools | 74 | 91 |
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 | 2019 | 2020 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes of CO2 equivalent | 2109 | |
| Indirect Energy Emissions (Scope 2) | tonnes of CO2 equivalent | 19652 | |
| Total GHG Emissions | tonnes of CO2 equivalent | 20723 | 21761 |
| Total GHG Emissions Intensity (By Area) | kilograms CO2 equivalent/m² | 0.71 | 0.64 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Hazardous Waste (Office) | tonnes | 0.24 | 0.05 |
| Hazardous Waste (Used Batteries) | pieces | 600 | 672 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Non-Hazardous Waste (Construction Waste) | tonnes | 141057 | |
| Non-Hazardous Waste (Kitchen Waste) | tonnes | 5620 | 4908 |
| Non-Hazardous Waste (Office Waste) | tonnes | 31 | 87 |
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 | 2019 | 2020 |
|---|---|---|---|
| Energy Consumption Intensity (By Area) | KWh/m² | 1.43 | 1.28 |
| Gasoline Consumption | litres | 122421 | |
| LPG Consumption | litres | 1074 | |
| Purchased Electricity | KWh | 33199000 | |
| Total Energy Consumption | KWh | 41506377 | 43247147 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Water Consumption | tonnes | 10261367 | 9017560 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Employees Aged 30-50 | employees | 6736 |
| Number of Employees Aged Above 50 | employees | 122 |
| Number of Employees Aged Below 30 | employees | 6427 |
| Number of Female Employees | employees | 4981 |
| Number of General Employees | employees | 11981 |
| Number of Male Employees | employees | 8304 |
| Number of Middle Management Employees | employees | 906 |
| Number of Senior Management Employees | employees | 398 |
| Number of Total Employees | employees | 13285 |
| Percentage of Employees Aged 30-50 | percent | 50.7 |
| Percentage of Employees Aged Above 50 | percent | 0.9 |
| Percentage of Employees Aged Below 30 | percent | 48.4 |
| Percentage of Female Employees | percent | 37.5 |
| Percentage of General Employees | percent | 90.2 |
| Percentage of Male Employees | percent | 62.5 |
| Percentage of Middle Management Employees | percent | 6.8 |
| Percentage of Senior Management Employees | percent | 3 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of New Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hours |
| Average Training Hours (General Staff) | hours |
| Average Training Hours (Male) | hours |
| Average Training Hours (Middle Management) | hours |
| Average Training Hours (Senior Management) | hours |
| Average Training Hours per Employee | hours |
| Total Training Hours | hours |
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 North China | |
| Number of Suppliers in Northeast China | |
| Number of Suppliers in Northwest China | |
| Number of Suppliers in South China | |
| Number of Total Suppliers |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Education Donation | RMB | 2380000 |
| Total In-kind Donations | schools | 50000 |