Ulsan Ulju-gun to Analyze 'Emergency Support Fund' Effect and Reflect in Policy

Analysis of Ulju Card Usage Results as of End of July Expiration ... Utilized as Policy Decision Data

Ulsan Ulju-gun Office Building. Ulju-gun plans to analyze the use of emergency citizen support funds through big data and reflect the findings in its policies.

[Asia Economy Yeongnam Reporting Headquarters Reporter Kim Yong-woo] “Can we discard this valuable data?” Ulsan Ulju-gun has come up with an ingenious idea to utilize the effects of the emergency citizen support fund for local policies.

Ulju-gun announced on the 23rd that it will analyze the effects of the emergency citizen support fund, which has been providing 100,000 KRW per person since April 28, on the local economy using big data, and use it as basic data for future policy decisions in Ulju-gun.

To revitalize the local economy, which has been depressed due to the impact of COVID-19, Ulju-gun distributed the Ulju Love Card worth 100,000 KRW per citizen nationwide for the first time as a universal welfare method.

The support fund began to be distributed on April 28, and the usage deadline is July 31. As of May 2020, 98.44% of the population has received the citizen support fund, and 89.53% of it has been used.

The big data analysis of the economic effects of the emergency citizen support fund is being conducted independently by Ulju-gun through ‘Gonggan Dameumi,’ an internal service for interdepartmental collaborative policy support based on spatial information.

This analysis includes the effects of local economic revitalization following the distribution of the emergency citizen support fund and the synergistic effects linked to government subsidies. It also includes consumption changes and pattern analysis by industry and region, as well as time-series analysis and interpretation before and after the COVID-19 outbreak and after the distribution of the support fund.

Lee Seon-ho, the mayor of Ulju-gun, said, “To confirm short-term effects, we will analyze the final results based on the usage deadline of the citizen support fund at the end of July,” and added, “We will apply the big data analysis system to various policy implementation areas to realize high-quality scientific administration.”

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