7 Billion KRW Support for Facility Contribution Fees from Demand in Vulnerable Areas This Year

City gas pipeline construction site <span class="image-source">Photo by Jinju City</span>

City gas pipeline construction site Photo by Jinju City

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[Asia Economy Yeongnam Reporting Headquarters Reporter Choi Soon-kyung] Jinju City, Gyeongnam Province, announced on the 30th that it will invest 700 million won this year to support part of the demand facility contribution that residents must bear when installing city gas in detached housing areas.


The average city gas supply rate in Jinju City is 82%, with most premium demand sectors such as apartments, row houses, and industrial use having been supplied.


In detached housing areas with low demand density, many households hesitate to switch to city gas due to the economic burden of the high demand facility contribution.


Since the beginning of the 7th term of the civil administration, the city has completely revised the ordinance to support the installation costs of city gas for residents in detached housing areas. Starting with securing a support budget of 400 million won in 2019, it invested 500 million won in 2020 to support installation fees for 1,180 houses in the Okbong, Bongrae, Sangbong, and Mangyeong areas.


Although many detached housing areas with high demand facility contributions hope for subsidy support, the city is prioritizing support for geographically disadvantaged and underdeveloped areas first, and thus cannot provide support to all residents, the city official explained.



The city official stated, “Most of the unsupplied areas have difficult construction conditions, and only regions with minimal supply effects remain compared to the massive pipeline investment, which is a real obstacle to expanding the supply network. However, we have continuously increased pipeline investments since 2019 in cooperation with city gas companies, and we plan to continue striving to realize energy welfare in the future.”


This content was produced with the assistance of AI translation services.

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