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Institution
전북특별자치도
Department
전환산업과

○메가시티 협력 첨단산업 육성지원(R&D)(국가직접)

Programme 메가시티 협력 첨단산업 육성지원(R&D)(국가직접)

Amounts and period

Budget amount
153,900,000 KRW
기정액
0 KRW
Change
+153,900,000 KRW

A zero here is what the source recorded. Missing values are never folded into zero.

Changes are calculated only when both amounts are known in full. No percentage is calculated when the comparison amount is zero.

Programme hierarchy and share

The selected item’s share of each parent budget, calculated from amounts in the same source document.

A share is not calculated for missing or partial amounts, non-positive parent amounts, or an item amount greater than its parent.

  1. Department 전환산업과 30,205,212,000 KRW
  2. Policy 성장동력산업 육성 29,999,300,000 KRW
  3. Programme 자동차산업 육성 지원 8,189,800,000 KRW
  4. Project 메가시티 협력 첨단산업 육성지원(R&D)(국가직접) 153,900,000 KRW
  5. Budget category 출연금 153,900,000 KRW
  6. Statistical item 출연금 153,900,000 KRW
  7. Item ○메가시티 협력 첨단산업 육성지원(R&D)(국가직접) 153,900,000 KRW
Category–statistical code
306-01
Group
Not provided in source

Original description

○메가시티 협력 첨단산업 육성지원(R&D)(국가 직접)

Institution and programme names are shown as the original Korean source text.

Detailed budget items

1 items
  1. ○메가시티 협력 첨단산업 육성지원(R&D)(국가직접) 306-01 Page 109 Selected item 153,900,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_1ht4dk7hmcx8kx1jr085mbph6m
Source document status
Available
File type
application/pdf
File size
1,824.986 KiB
Location inside the source
Page 109 Row 10 Line 2 Column level4

Source and reference

FY 2026 release No source record

Fiscal year of record
2026
Fetched from the source
2026-08-19 16:36
Read and interpreted
2026-08-19 16:36
Query snapshot refreshed
2026-11-14 09:03
Item ID
bi_5frtf2f5av6q2w61xv1j18nf4k

Similar budgets

Items share the same budget classification and a related name. Different years may be included. The name search uses the keyword without a classification filter.

Keyword “메가시티” · classification 306-01

No items with the same classification were found among the candidates checked.

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