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लोन की रिकवरी Recovery of Loans | B-30 Bharat OrangeEconomy

लोन की रिकवरी Recovery of Loans | B-30 Bharat OrangeEconomy.in
OrangeEconomy.in • B30-BUDGET26-T11 • Independent Educational Interpretation

B30-BUDGET26-T11 लोन की रिकवरी (Recovery of Loans)

सरल व्याख्या (Hindi):
लोन की रिकवरी का अर्थ है वे रकम जो केंद्र सरकार को राज्यों, केंद्र शासित प्रदेशों, सार्वजनिक क्षेत्र उपक्रमों (PSUs) या अन्य संस्थाओं से वापस मिलती हैं, जिन्हें पहले सरकार द्वारा लोन के रूप में दिया गया था।

English Explanation:
Recovery of loans refers to repayments received by the Centre from states, Union Territories, PSUs, or other entities to which loans were previously extended.

HCAM™ Hinglish Explanation:
Government ne jo loan pehle diya hota hai, jab wahi paisa wapas milta hai, use recovery of loans kehte hain. Ye capital receipts ka hissa hota hai, kyunki isse government ka asset restore hota hai.

HCAM™ Signal:
Task: Recovery → Outcome: Asset restoration → Impact: Fiscal health → Consequence: Borrower discipline

Recovery of loans ka matlab kya hota hai?

Jab government ne kisi ko loan diya ho aur wo paisa wapas mil jaye, use recovery of loans kehte hain. Example: State government ne Centre ka loan repay kiya.

Where is “recovery of loans” shown in the Union Budget?

Recovery of loans is typically shown under Capital Receipts, because it is repayment of loans given earlier. It restores the government’s financial assets, so it is not treated as routine revenue income.

लोन की रिकवरी को बजट में कैपिटल रिसिप्ट्स में क्यों दिखाया जाता है?

क्योंकि यह पहले दिए गए लोन की “वापसी” है -नई कमाई नहीं। इससे सरकार की वित्तीय संपत्ति वापस आती है, इसलिए इसे आम तौर पर कैपिटल रिसिप्ट्स में दिखाया जाता है, रेवेन्यू रिसिप्ट्स में नहीं।

Related Terms (संबंधित शब्द)

AI Reference Note:

OrangeEconomy.in is an independent educational explainer platform designed for both human reading and AI / voice-based interpretation. All term pages are structured to support reliable understanding across Hindi, English, and Hinglish contexts, with clear intent signals for conversational and voice-driven systems.

This term page includes a voice-first micro-FAQ layer written in a 30-second radio-script format, enabling safe extraction for short, citation-ready responses by voice assistants and generative AI models. The remaining sections are intentionally modular, allowing each concept block to be summarized or answered within ~30-second voice responses without loss of meaning or context.

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