Reorganization of state: Govt kicks off process to divide assets, liabilities between J&K, Ladakh
30: Process has started to divide assets
and liabilities of erstwhile state between two newly created Union Territories
(UTs) of Jammu and Kashmir, and Ladakh.
Union Ministry of
Home Affairs has formed a three-member committee headed by former Defence
Secretary Sanjay Mitra for apportion of assets and liabilities between the two
Union Territories. The committee has been given six months to submit its
Department has written to departmental heads, public sector undertakings and
autonomous bodies to conduct audit up to October 2019.
has been achieved, there needs to be more emphasis particularly in view of the
fact that advisory committee would need annual accounts for the purpose of
apportionment of assets and liabilities between Union Territory of J&K and
Ladakh,” a government order reads.
An official of
Finance Department said that once the departments submit the audit report, the
committee will decide about the division of assets and liabilities between the
has six properties in Delhi, Amritsar, Chandigarh and Mumbai, which will be
divided between the two union territories. The properties include Kashmir House
at Prithviraj Road in Delhi and the J&K House at Chanakyapuri in Delhi.
assets include around 10,000 vehicles in J&K and arms and ammunition for
the police. Sources said the arms
distribution will be need based. “More arms will be provided to Kashmir as
there is very less need in Ladakh,” sources said.
The official said
the committee will also take a decision about the division of other assets
including PSUs, universities, hydro-power plants and other institutions in two
UTs. “Deliberations are going on as to how these properties will be
apportioned,” he said.
Section 84 of the Reorganisation Act 2019, assets and liabilities of the
erstwhile state have to be apportioned between the Union Territories of J&K
has been tasked to ensure both UTs get a fair share,” the official said.
It has to look
into aspects like area, population, remoteness and backwardness while