Determinants of total factor productivity in Pakistan: a time series analysis using ARDL approach

Zaira Adnan, Mamta Chowdhury () and Girijasankar Mallik

International Review of Applied Economics, 2020, vol. 34, issue 6, 807-820

Abstract: This study examines key determinants of total factor productivity (TFP) in Pakistan for the period 1970–2018 using the auto-regressive distributive lag (ARDL) bound testing approach. The study conducts a time series analysis on macro-economic indicators namely foreign direct investment (FDI), trade openness and human capital and aims to identify whether these factors impact significantly on TFP. TFP is a measure of the productive capabilities of factors of production (capital and labour), and is crucial in relation to economic efficiency and economic growth. The study applied an ARDL bound test to analyse the long-run and short-run relationship among the variables, and also a Granger causality test to consider causal relationships between the explanatory variables and TFP. The results suggest that TFP has a long-run relationship with FDI and human capital.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/02692171.2020.1792420 (text/html)
Access to full text is restricted to subscribers.

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:taf:irapec:v:34:y:2020:i:6:p:807-820

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIRA20

DOI: 10.1080/02692171.2020.1792420

Access Statistics for this article

International Review of Applied Economics is currently edited by Professor Malcolm Sawyer

More articles in International Review of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().