Digital mosaics and Weibull probability distribution modelling of regional connectivity: a diplomatic economy perspective

Ejaz Gul and Imran Chaudhry

Global Business and Economics Review, 2020, vol. 22, issue 4, 431-453

Abstract: With emergence of China Pakistan Economic Corridor (CPEC), it is expected that Pakistan will move further closer to its historical ally China and other regional partners including Central Asian States. Paper investigates gradual transition of Pakistan towards greater regional integration using data on eight selected variables from 2001 to 2015 (15 years) for ten selected countries of Asia. To ascertain rate of transition of regional integration, digital analysis of data was carried out and digital mosaics were created with help of digital software SURFER - 9. To know effect of different variables on rate of transition of regional integration, data was analysed by using Weibull probability distribution model (WPDM). Results indicated that Pakistan is consistently moving closer to regional countries and rate of transition of regional integration is increasing with time. This validated the conception that CPEC will play instrumental role in strengthening regional integration in the context of Pakistan.

Keywords: regional; integration; China Pakistan Economic Corridor; CPEC; transition; rate; digital; analysis; mosaics; Weibull; probability; distribution; model; connectivity. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=107458 (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:ids:gbusec:v:22:y:2020:i:4:p:431-453

Access Statistics for this article

More articles in Global Business and Economics Review from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().