Data · dataset · 2026
How does digital boundary spanning drive technological innovation in advanced manufacturing?
Listed in ScienceDB
Firstly, obtain the required data from 2013 to 2023 through databases such as CSMAR and CNRDS, as well as annual reports of listed companies.
Description
Secondly, according to the "Classification of National Economic Industries" and "Classification of High tech Industries (Manufacturing) (2017)" released by the National Bureau of Statistics of China, ten industries including "Computer, Communication and Other Electronic Equipment Manufacturing", "Non metallic Mineral Products Industry", "Electrical Machinery and Equipment Manufacturing", "General Equipment Manufacturing", "Pharmaceutical Manufacturing", "Special Equipment Manufacturing", "Chemical Fiber Manufacturing", "Railway, Ship, Aerospace and Other Transportation Equipment Manufacturing" and "Chemical Raw Materials and Chemical Products Manufacturing" are recognized as advanced manufacturing industries, and the data obtained in the first step is then screened.
Thirdly, exclude listed companies with missing ST,
Read the rest (1 more)
- ST, PT, and key indicators to ensure the completeness and continuity of all company data. Fourth, perform 1% and 99% truncation on continuous variable data to avoid extreme values affecting the research results. How does the crossing of digital boundaries drive technological innovation in advanced manufacturing? How can digital boundaries drive technological innovation in advanced manufacturing when data is directly used to obtain article results? The code is the code used to obtain the results. The software used in the article is Stata18.0.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00289.00106 ↗
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
- Manufacturing engineering 70%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00289.00106 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4014 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| 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 | |
| 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 |