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A Statistical Analysis of Industrial Penetration and Internet Intensity in Taiwan
- Source :
- Future Internet; Volume 10; Issue 3; Pages: 31, Future Internet, Vol 10, Iss 3, p 31 (2018)
- Publication Year :
- 2018
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2018.
-
Abstract
- This paper is the first to investigate the effect of industrial penetration (geographic concentration of industries) and internet intensity (the proportion of enterprises that uses the internet) for Taiwan manufacturing firms, and analyses whether the relationships are substitutes or complements. The sample observations are based on a unique set of data, namely 153,081 manufacturing plants, and covers 26 two-digit industry categories and 358 geographical townships in Taiwan. The Heckman sample selection model is used to accommodate sample selectivity for unobservable data for firms that use the internet. The empirical results from Heckman’s two-stage estimation show that: (1) a higher degree of industrial penetration will not affect the probability that firms will use the internet, but it will affect the total expenditure on internet intensity; (2) for two-digit SIC (Standard Industrial Classification) industries, industrial penetration generally decreases the total expenditure on internet intensity; and, (3) industrial penetration and internet intensity are substitutes.
- Subjects :
- Sample selection
Estimation
050208 finance
lcsh:T58.5-58.64
lcsh:Information technology
Computer Networks and Communications
Computer science
business.industry
Standard Industrial Classification
05 social sciences
Sample (statistics)
industrial penetration
sample selection
internet intensity
Unobservable
incidental truncation
0502 economics and business
Penetration (warfare)
Econometrics
The Internet
050207 economics
business
Intensity (heat transfer)
Subjects
Details
- Language :
- English
- ISSN :
- 19995903
- Database :
- OpenAIRE
- Journal :
- Future Internet; Volume 10; Issue 3; Pages: 31
- Accession number :
- edsair.doi.dedup.....44d69d215054632a423a5e30689370fe
- Full Text :
- https://doi.org/10.3390/fi10030031