‘A stable Pakistan can have better ties with China, US’
Habib Khan stressed strong home governance and financial self-sufficiency
ISLAMABAD: A former federal minister has said that a stable and autonomous Pakistan, anchored in effective governance, is a critical determinant of the success of diplomatic initiatives and the strength of Pakistan-China relationships.
Addressing a convention, “US-China Strategic Competitors: Choices for Pakistan”, former interior minister Malik Habib Khan highlighted the need to focus on domestic sphere.
The convention was convened by Engineer Javed Mahmood Bukhari, Rector of the Nationwide College of Science & Know-how (NUST) and Patron of the Nationwide Institute of Coverage Research (NIPS), here on Thursday. Ambassadors, intellectuals and other personalities participated in the convention.
Habib Khan stressed strong home governance and financial self-sufficiency for better bilateral engagements with China and the US.
-
Prince William Closes Saudi Arabia Visit With Rare Desert Shot -
'King Charles Acts Fast Or Existential Crisis' Over Andrew Scandal -
Brooklyn Beckham Charging Nearly £300 In Ticket Cost For Burger Festival -
Prince William Makes Unexpected Stop At Local Market In Saudi Arabia -
Zayn Malik Shares Important Update About His Love Life -
Kate Middleton, William Are Holding Onto Their Hats As Worse Gets Threatened: Behind The Veil Of Shame -
British Soap Awards Scrapped Again As ITV Confirms 2026 Hiatus -
Climate Nearing Dangerous Tipping Points, Study Shows -
James Van Der Beek, 'Dawson's Creek' Star, Dies At 48 -
Threads Launches Dear Algo AI Feature To Personalise Feeds In Real Time -
Police Take Action Over Andrew's Ties With Jeffrey Epstein While In UK Office -
Courtney Love Makes First Appearance Since New Report On Kurt Cobain's Death -
King Charles Anxious As Uncertainty Grows Over Sarah Ferguson’s Next Move -
Real Reason Kim Kardashian Is Dating Lewis Hamilton -
Rihanna Leaves Elderly Woman Star-struck In Viral Grocery Store Video -
TikTok US Launches Local Feed Using Precise Location Data