Title
Land Bank of the Philippines vs. Court of Appeals
Case
G.R. No. 118712
Decision Date
Jul 5, 1996
Dispute over CARP implementation: DAR and LBP's use of trust accounts instead of cash or bonds for land compensation ruled non-compliant with R.A. 6657.
A

Case Digest (G.R. No. 118712)

Facts:

  • Background of the case
    • The Department of Agrarian Reform (DAR) and the Land Bank of the Philippines (LBP) sought certiorari relief from this Court after the Court of Appeals denied their petitions (G.R. Nos. 118712 & 118.745).
    • On October 6, 1995, this Court denied both petitions, prompting DAR and LBP to file separate motions for reconsideration.
  • Petitioners’ contentions
    • DAR and LBP argued that opening trust accounts in favor of rejecting landowners constituted “deposit” under Section 16(e) of Republic Act No. 6657, thus satisfying the statutory requirement for payment of compensation.
    • They further maintained that the deposited funds should remain in trust—unwithdrawable by landowners—pending final judicial valuation, to protect the Government against potential legislative or administrative changes, force majeure events, or program abandonment.
  • Statutory provision in issue
    • Section 16(e) of RA 6657 requires that, upon rejection by a landowner, compensation “in cash or in LBP bonds” be deposited with an accessible bank designated by DAR before taking possession.
    • Petitioners’ administrative rules and LBP Executive Order No. 003 (January 19, 1993) permitted partial withdrawal (50%) from such trust accounts.

Issues:

  • Whether the opening of trust accounts satisfies the “deposit in cash or in LBP bonds” requirement of Section 16(e) of RA 6657.
  • Whether rejecting landowners may immediately withdraw the full amount of the deposited compensation pending final valuation of their property.

Ruling:

  • (Subscriber-Only)

Ratio:

  • (Subscriber-Only)

Doctrine:

  • (Subscriber-Only)

Analyze Cases Smarter, Faster
Jur helps you analyze cases smarter to comprehend faster, building context before diving into full texts. AI-powered analysis, always verify critical details.