Fourth-Stage Purification Diffusion Data Supporting a 2026 Environmental Policy Study
by Tosun, Jale / heiDATA Harvested Dataverse·Updated 1mo ago
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Description
Bulian, Tosun, Smith Korfmacher, K, and Baur authored a 2026 publication titled 'Learning Networks Drive Environmental Innovation: Evidence From Fourth‐Stage Purification Diffusion' in Environmental Policy and Governance, based on this dataset. The dataset was harvested from heiDATA and last updated on May 17, 2026. It likely contains data on the diffusion of environmental purification technologies and the role of learning networks.
Use Cases
Modeling the diffusion rate of fourth-stage purification technologies based on network characteristics mentioned in the description.
Analyzing the relationship between learning networks and environmental innovation outcomes as described in the publication.
Investigating policy and governance factors influencing technology adoption referenced in the study.
Strengths
Data is directly linked to a peer-reviewed 2026 publication in Environmental Policy and Governance.
Last update timestamp of 2026-05-17 suggests recent availability.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
heiDATA Harvested Dataverse
Freshness
Last updated 2026-05-17 07:10:09
License is unknown; terms of use must be verified before application.