Gyeonggi-do Strengthens Discovery of 'Resident-Perceived Policies' Using Big Data

[Asia Economy (Suwon) = Reporter Lee Young-gyu] Gyeonggi Province is promoting policies that residents can feel, such as deriving real estate speculation risk areas and predicting sales for prospective entrepreneurs through big data analysis.

Gyeonggi Province decided to actively utilize data analysis for major provincial government issues and held an online kickoff meeting on the 29th for the "2021 New Data Analysis Project," which includes these contents.

The province discovered and analyzed four new tasks related to provincial policies requiring data analysis, striving to realize the core values of the provincial government: "fairness, peace, and welfare."

First, to solve the real estate speculation problem, the province will promote analysis to derive real estate speculation risk areas.

By analyzing standard official land prices, actual transaction prices, transaction volumes, etc., the detailed status by region, type, and development zone will be identified, and a speculation risk index will be calculated for each region.

Through this, areas showing abnormal signs of real estate speculation will be intensively managed in advance.

The sales prediction analysis for prospective entrepreneurs focuses on predicting sales of 93 life-related business types by small regions to support small business owners and prospective entrepreneurs.

To this end, the province plans to utilize various data held by Statistics Korea, with which it signed a business agreement in January, to overcome the limitations of existing commercial area analysis that analyzes past sales and floating population statistics.

Additionally, data related to life-related business types of small business owners held by the Gyeonggi Province Market and Commercial District Promotion Agency will also be used.

Furthermore, the province will promote employment trend analysis for employment support, such as predicting tenure and retirement by region, industry, and age, as well as integrated case management analysis to provide appropriate service resources to socially vulnerable groups and improve satisfaction.

The province plans to complete the development of analysis models by the end of this year and provide analysis models that can be jointly used by 31 cities and counties within the province to assist data-driven administration.

Lim Moon-young, Director of Future Growth Policy at the province, said, "This project focused on analyses highly applicable to residents' lives and major provincial policies," and promised, "We will continue to actively strive for customized data analysis centered on demand."

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