Can technology provide a glimmer of hope for economic growth in the midst of chaos? A case of Zimbabwe

Kumar, Ronald Ravinesh, Stauvermann, Peter Josef, & Shahzad, Syed Jawad Hussain (2016) Can technology provide a glimmer of hope for economic growth in the midst of chaos? A case of Zimbabwe. Quality & Quantity. (In Press)

View at publisher

Abstract

In this paper we examine the effect of technology on economic growth in Zimbabwe over the period 1975–2014 whilst accounting for structural breaks. We use the extended Cobb–Douglas type Solow (Q J Econ 70(1):65–94, 1956) framework and the ARDL bounds procedure to examine cointegration and short run and long run effects. Using unit root tests, we note that structural changes in Zimbabwe are generally marked by the period 1982 onwards. We find that mobile technology has a positive short-run (0.09 %) and long-run (0.08 %) impact on the output per capita. The structural changes post-1982 periods show positive impact in the short-run (0.06) and the long-run (0.09), whereas the coefficient of trend in the short-run (−0.03) and the long-run (−0.04) is negative. The Granger non-causality test shows a unidirectional causality from capital stock (investment) per capita to output per capita and a bi-directional causality between mobile cellular technology and output per capita. The plausible reasons for estimated magnitude effects and the direction of causality are explained for policy deliberation.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 93139
Item Type: Journal Article
Refereed: Yes
DOI: 10.1007/s11135-016-0319-0
ISSN: 0033-5177
Subjects: Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > APPLIED ECONOMICS (140200) > Economic Development and Growth (140202)
Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > ECONOMETRICS (140300) > Time-Series Analysis (140305)
Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > OTHER ECONOMICS (149900) > Economics not elsewhere classified (149999)
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Economics & Finance
Copyright Owner: Copyright 2016 Springer
Deposited On: 23 Feb 2016 00:43
Last Modified: 23 Feb 2016 22:45

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page