Local industrial cohesion as a diffusion mechanism for incremental knowledge: evidence from business and economic indicators in U.S. Counties

Abstract This paper extends the Knowledge Spillover Theory of Entrepreneurship (KSTE) by incorporating the role of incremental knowledge spillovers as a key driver of business performance. The core proposition is that firms embedded in regions with a more cohesive industrial structure, which serves as a diffusion mechanism for incremental knowledge, are better able to absorb, combine and apply such knowledge even in the absence of high R&D capacity. Thus, the focus shifts from radical knowledge to incremental knowledge flows as an alternative engine of firm success. The empirical findings reveal that firms, particularly single-unit and those in non-metropolitan regions, tend to benefit from cohesive industrial structures likely through improved knowledge diffusion. Further analyses establish a positive link between local industrial cohesion and local economic performance measured by employment and income growth. This lends indirect support to the hypothesis that local industrial cohesion leads to greater businesses competitiveness and not the other way around.

Authors

Institutions

Publication Details

Journal
The Journal of Technology Transfer
Published
2025-09-23
DOI
https://doi.org/10.1007/s10961-025-10219-5
Citations
1
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
3.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Local industrial cohesion as a diffusion mechanism for incremental knowledge: evidence from business and economic indicators in U.S. Counties

Mark D. Partridge, Alexandra Tsvetkova
1 citations
The Journal of Technology Transfer
Regional Economics and Spatial Analysis
3.13
article

Local industrial cohesion as a diffusion mechanism for incremental knowledge: evidence from business and economic indicators in U.S. Counties

Mark D. Partridge, Alexandra Tsvetkova
article en
1 citations

Abstract

Abstract This paper extends the Knowledge Spillover Theory of Entrepreneurship (KSTE) by incorporating the role of incremental knowledge spillovers as a key driver of business performance. The core proposition is that firms embedded in regions with a more cohesive industrial structure, which serves as a diffusion mechanism for incremental knowledge, are better able to absorb, combine and apply such knowledge even in the absence of high R&D capacity. Thus, the focus shifts from radical knowledge to incremental knowledge flows as an alternative engine of firm success. The empirical findings reveal that firms, particularly single-unit and those in non-metropolitan regions, tend to benefit from cohesive industrial structures likely through improved knowledge diffusion. Further analyses establish a positive link between local industrial cohesion and local economic performance measured by employment and income growth. This lends indirect support to the hypothesis that local industrial cohesion leads to greater businesses competitiveness and not the other way around.

The Journal of Technology Transfer
Conemaugh Health System (US), The Ohio State University (US)
U.S. Department of Agriculture
Openalex Percentile: Top 6%
Regional Economics and Spatial Analysis
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Local industrial cohesion as a diffusion mechanism for incremental knowledge: evidence from business and economic indicators in U.S. Counties — Mark D. Partridge, Alexandra Tsvetkova · The Journal of Technology Transfer (2025) | TGRS Research Map | TGRS