Promoting ICT adoption in rural entrepreneurship
More neighbourhood effect or more institutional incentives?—Empirical evidence from China
Bibliographic Data
| ID | 21594513 |
|---|---|
| Authors | Lili Geng (0000-0001-5301-8691, School of Economics and Management Beijing Forestry University Beijing China), Yongji Xue (0000-0001-8060-8099, School of Economics and Management Beijing Forestry University Beijing China, corresponding author) |
| Year | 2023 |
| Volume | 35 |
| Issue | 6 |
| Pages | 1530-1548 |
| Publication date | 2023-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of International Development (JOURNAL) |
| Journal identifiers | ISSN: 0954-1748 • E-ISSN: 1099-1328 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/jid.3738 |
| OpenAlex | W4313652550 |
| Language | EN |
| Citations received | 4 |
| References cited | 53 |
Although digital village projects have been vigorously promoted in China in recent years, the application rate of information and communication technology (ICT) is still low, while the ways in which governmental technology promotion turns into endogenous initiatives and the impact of informal institutions remains unclear. This study found that the neighbourhood effect, rather than institutional incentives, is decisive for ICT adoption. Perceived well‐being benefit was found to be an indispensable internal driver for ICT adoption, whereas government incentives varied across industries, producing a variety of impacts. The findings of this study provide practical insights into the effective promotion of ICT adoption, suggesting that government and community forces should be integrated, and that both cognitive and affective psychological drivers should be considered
Business · China · Digital divide · Economic growth · Economics · Empirical evidence · Empirical research · Entrepreneurship · Incentive · Information and Communications Technology · Market economy · Political science · Public economics · Public relations · Digital Marketing and Social Media · Social Capital and Networks · Technology Adoption and User Behaviour · Finance · Marketing
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1.33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |