Data · dataset · 2026
Research Dataset on Supply Chain Shareholding and Green Innovation Levels of Chinese A-share Listed Companies from 2007 to 2023
Listed in ScienceDB
Description
This dataset serves as an empirical study on the relationship between supply chain shareholding and corporate green innovation based on cognitive role theory, aiming to examine how upstream suppliers or downstream customers holding shares in listed companies (i.e. supply chain shareholding) affect corporate green innovation activities. The data is based on the construction of Chinese A-share listed companies from 2007 to 2023, covering multidimensional information such as corporate finance, governance, patents, and supply chain relationships. The raw data is mainly taken from CSMAR and CNRDS, supplemented and matched with WIND, RESSET, and China Business Registration Enterprise Information Database.
After excluding listed companies in the financial industry; Exclude observations of ST,
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- ST, and insolvency; Excluding samples with missing main variables, 47535 observations were obtained (unbalanced panel); And perform tail reduction on continuous variables at the 1% and 99% percentiles to eliminate the influence of extreme values. This dataset consists of two files: master data and regression code. The master data covers all variables used in this article, including the dependent variable (green innovation), explanatory variables (primary and secondary items of supply chain shareholding), control variables (four dimensions), mediating variables (management attention allocation measured by environmental information disclosure similarity), moderating variables (three dimensions), and other variables used for endogeneity processing and robustness testing. The regression code fully reproduced the statistical results of all tables in the paper, and running the code can obtain the data of each table.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00289.00473 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Environmental engineering 69% · Tabular 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00289.00473 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4011 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |