Data · dataset · 2026
Survey dataset on green marketing practices, dynamic capabilities, brand equity, and competitive advantage among manufacturing firms across five industrial sub-sectors
Listed in Teesside University Research Data Repository
This article presents a cross-sectional survey dataset collected from 308 manufacturing firms operating in five industrial sub-sectors (plastics, food processing, chemicals, textiles, and pharmaceuticals).
Description
The dataset combines firm-level descriptive attributes — sub-sector, firm size category, ISO 14001 environmental certification status, export orientation, and firm age — with respondent scores on six multi-item constructs measured on a 7-point Likert scale: green marketing practices (GFMP, 5 items), green dynamic capabilities (GDC, 5 items), green market/marketing innovation (GMI, 5 items), green brand equity (GBE, 5 items), competitive advantage (CA, 5 items), and perceived market value/performance (PMV, 4 items).
Data were collected through a structured, self-administered questionnaire and are provided in cleaned, ready-to-use tabular format (.xlsx), with no missing values across the 308 valid responses. The dataset allows researchers to examine relationships between green marketing capabilities and competitive outcomes across firms of different sizes, certification status, export orientation, and industrial sub-sector, and can support replication, cross-country comparison, or secondary analysis using structural equation modelling or comparable multivariate techniques.
Links
Where it is published
- DOI doi.org/10.17632/7658kzpxsk.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/7658kzpxsk.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3506 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |