Spatial disparities in SME productivity
Evidence from the service sector in England
Bibliographic Data
| ID | 7366804 |
|---|---|
| Authors | Pattanapong Tiwasing (0000-0001-9604-1656, corresponding author), Yoo Ri Kim (0000-0003-4218-6424), Temitope Akinremi (0000-0003-2283-3321) |
| Year | 2020 |
| Volume | 7 |
| Issue | 1 |
| Pages | 589-602 |
| Publication date | 2020-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2020.1854111 |
| OpenAlex | W3109647297 |
| Language | EN |
| References cited | 18 |
This paper identifies the key determinants of spatial variability of productivity, focusing on small and medium-sized enterprises (SMEs) in the service sector across England. Due to the hierarchically structured data, multilevel analysis is applied to distinguish the effects of a firm’s internal variables and (sub)regional factors on productivity. Using cross-sectional data for 10,400 SMEs from the UK government’s Small Business Survey, 2015, the results show that firm-specific determinants significantly influence productivity. The findings also indicate that location, local enterprise partnerships (LEPs) and where firms operate play a pivotal role in determining SME productivity. In particular, at the LEP level, increasing labour supply, promoting local funding and improving broadband speed potentially enhance firm productivity
Business · Economic geography · Economic growth · Economics · Geography · Government (linguistics · Industrial organization · Local government · Multilevel model · Productivity · Service (business · Survey data collection · Tertiary sector of the economy · Entrepreneurship Studies and Influences · Firm Innovation and Growth · Regional Economics and Spatial Analysis · Marketing
| Highly cited | No |
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