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数据目录 · 共 64 个条目 · 20 个分类浏览简化目录
SSRD上市公司与资本市场5
政府与司法数据4
企业主体与全景画像4
人民数据1
人物数据1
劳动就业数据2
该数据基于 2001-2020 年全球 34 个国家超 1 万家企业的财报电话会议文本，利用词频方法量化企业层面的气候变化暴露、风险与情绪，为气候金融研究提供核心指标。
  Please cite the following study when using this Climate Change Exposure/Risk/Sentiment data: - Sautner, Z., L. van Lent, G. Vilkov, and R. Zhang, Firm-level Climate Change Exposure, 2020. Available at SSRN: https://ssrn.com/abstract=3642508   The data is publicly available and free to use, provided its source is acknowledged as follows: - Sautner, Z., L. van Lent, G. Vilkov, and R. Zhang, 2020. ”Data for ‘Firm-level Climate Change Exposure’”. https://doi.org/10.17605/OSF.IO/FD6JQ   and both data and the associated paper are cited in any work that uses these resources.   经香港大学张瑞申教授授权，CnOpenData建立了该数据的展示区及数据索引，便于学者浏览。   数据下载请点击[Firm-level Climate Change Exposure](https://osf.io/fd6jq/)，或在本页页末直接下载。
| # | 字段名称 | 数据类型 | 字段说明 |
|---|---|---|---|
| 1 | isin | string | - |
| 2 | dateQ | string | - |
| 3 | cc_expo | number | - |
| 4 | cc_risk | number | - |
| 5 | cc_pos | number | - |
| 6 | cc_neg | number | - |
| 7 | cc_senti | number | - |
| 8 | op_cc_expo | number | - |
| 9 | op_cc_risk | number | - |
| 10 | op_cc_pos | number | - |
| 11 | op_cc_neg | number | - |
| 12 | op_cc_senti | number | - |
| 13 | rg_cc_expo | number | - |
| 14 | rg_cc_risk | number | - |
| 15 | rg_cc_pos | number | - |
| 16 | rg_cc_neg | number | - |
| 17 | rg_cc_senti | number | - |
| 18 | ph_cc_expo | number | - |
| 19 | ph_cc_risk | number | - |
| 20 | ph_cc_pos | number | - |
| 21 | ph_cc_neg | number | - |
| 22 | ph_cc_senti | number | - |
| 23 | gvkey | number | - |
| 24 | headquarterscountry | string | - |
| 25 | hqcountrycode | string | - |
| # | 字段名称 | 数据类型 | 字段说明 |
|---|---|---|---|
| 1 | isin | string | - |
| 2 | year | number | - |
| 3 | cc_expo | string | - |
| 4 | cc_risk | number | - |
| 5 | cc_pos | string | - |
| 6 | cc_neg | string | - |
| 7 | cc_senti | string | - |
| 8 | op_cc_expo | number | - |
| 9 | op_cc_risk | number | - |
| 10 | op_cc_pos | string | - |
| 11 | op_cc_neg | number | - |
| 12 | op_cc_senti | string | - |
| 13 | rg_cc_expo | number | - |
| 14 | rg_cc_risk | number | - |
| 15 | rg_cc_pos | number | - |
| 16 | rg_cc_neg | number | - |
| 17 | rg_cc_senti | number | - |
| 18 | ph_cc_expo | number | - |
| 19 | ph_cc_risk | number | - |
| 20 | ph_cc_pos | number | - |
| 21 | ph_cc_neg | number | - |
| 22 | ph_cc_senti | number | - |
| 23 | gvkey | number | - |
| 24 | headquarterscountry | string | - |
| 25 | hqcountrycode | string | - |
面向企业与商业研究机构的完整授权方案。
面向高校教师与科研人员的学术研究方案。
面向大型机构的整体定制与部署方案。
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手机版仅提供数据浏览。数据订阅、完整数据下载与 API 服务，请用电脑访问 CnOpenData 官方网站（cnopendata.com）办理。
Please cite the following study when using this Climate Change Exposure/Risk/Sentiment data:
The data is publicly available and free to use, provided its source is acknowledged as follows:
and both data and the associated paper are cited in any work that uses these resources.
经香港大学张瑞申教授授权，CnOpenData建立了该数据的展示区及数据索引，便于学者浏览。
数据下载请点击Firm-level Climate Change Exposure，或在本页页末直接下载。