The Impacts of Trade Liberalisation and Technological Change on GDP Growth in Indonesia: A Meta Regression Analysis
Risti Permani ()
Global Economy Journal, 2011, vol. 11, issue 4, 30
Abstract:
Twelve selected studies investigating effects of trade liberalisation in Indonesia resulting in 25 point estimates are included in the Meta Regression Analysis to assess the growth-enhancing effects of trade liberalisation and technological change. Given high variation across studies, this study finds no robust evidence of the positive impacts of a tariff cut on economic growth rates. However, it finds robust evidence of the growth-enhancing effects of technological change. This study also finds that studies which are published assuming increasing return to scale, focusing on non-agricultural sectors, using pre-1997 databases and with more disaggregated sectors tend to report higher growth effects of trade liberalisation. Compared to results reported by Indonesian researchers, non-Indonesian academic researchers report lower growth effects of trade liberalisation. Overall, this study suggests that providing assistance to developing countries to improve their productivity might be a better approach to multilateral negotiations than putting pressures on these countries to remove their trade barriers.
Keywords: Meta Regression Analysis; trade liberalisation; Indonesia; technological change; economic growth; agriculture (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://doi.org/10.2202/1524-5861.1782 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:glecon:v:11:y:2011:i:4:n:7
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/gej/html
DOI: 10.2202/1524-5861.1782
Access Statistics for this article
Global Economy Journal is currently edited by Jannett Highfill
More articles in Global Economy Journal from De Gruyter
Bibliographic data for series maintained by Peter Golla ().