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๊ด‘์—ญ์ž์น˜๋‹จ์ฒด์˜ ์†Œํ†ต์ง€์ˆ˜์™€ ํšจ์œจ์„ฑ ํ‰๊ฐ€์— ๊ด€ํ•œ ์—ฐ๊ตฌ

A Study on the Communication Index and Efficiency Evaluation of Regional Governments: Application of DEA, SEM, Super-SBM Models

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๋ณธ ์—ฐ๊ตฌ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ 17๊ฐœ ๊ด‘์—ญ์ž์น˜๋‹จ์ฒด๋ฅผ ๋Œ€์ƒ์œผ๋กœ DEA, SEM, Super-SBM ๊ธฐ๋ฒ•์„์ด์šฉํ•˜์—ฌ ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด์™€ ์ฃผ๋ฏผ ๊ฐ„์˜ ์†Œํ†ตํ–‰์ •์„œ๋น„์Šค์— ๋Œ€ํ•œ ํšจ์œจ์„ฑ์„ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด์˜ ์‹œ์ • ๋ฐ ๋„์ • ๋ฐฑ์„œ, ์‹œ๋„๋ณ„ ํ†ต๊ณ„์—ฐ๊ฐ, ์‚ฌํšŒ์ง€ํ‘œ(2017~2019)์—๋‚˜ํƒ€๋‚œ ํ‰๊ฐ€์ง€ํ‘œ๋ฅผ ๋ถ„์„, ์†Œํ†ต์ง€์ˆ˜๋ฅผ ๋ฐœ์ทŒํ•˜์—ฌ ๊ด‘์—ญ์‹œ๋„๋ณ„๋กœ ์†Œํ†ต ํšจ์œจ์„ฑ์„ ์ธก์ •ํ•˜์˜€๋‹ค. ํˆฌ์ž…์ง€ํ‘œ๋กœ๋Š” ๊ณต๋ฌด์› ์ˆ˜(๊ณต๋ฌด์› 1์ธ๋‹น ์ฃผ๋ฏผ ์ˆ˜), ์ผ๋ฐ˜์„ธ์ถœ์˜ˆ์‚ฐ(๊ณต๊ณตํ–‰์ •์˜ˆ์‚ฐ)์ด๋ฉฐ, ์‚ฐ์ถœ์ง€ํ‘œ๋กœ๋Š” ๋ฏผ์›์‚ฌ๋ฌด์ฒ˜๋ฆฌ, ์‚ถ์˜ ๋งŒ์กฑ๋„, ์ž์›๋ด‰์‚ฌํ™œ๋™ ์ฐธ์—ฌ์œจ, ์‚ฌํšŒ๋‹จ์ฒด ์ฐธ์—ฌ์œจ ๋“ฑ 6๊ฐœ์ด๋‹ค. ์†Œํ†ต ํšจ์œจ์„ฑ ๋ฐ ์ดˆํšจ์œจ์„ฑ์€ DEA-CCR, BCC๋ชจํ˜•, SEM๋ชจํ˜•, Super-SBM๋ชจํ˜•์œผ๋กœ ์ธก์ •ํ•˜์˜€๊ณ , ์ดˆํšจ์œจ์„ฑ ๊ฐ’์„ ์ด์šฉํ•˜์—ฌ ๊ด‘์—ญ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด ๊ฐ„์˜ ์ˆœ์œ„๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ์ข…ํ•ฉํ•˜๋ฉด, ์ฒซ์งธ, ์†Œํ†ต ํšจ์œจ์„ฑ์€ 2015๋…„ 17.5%, 2016๋…„ 23.5%, 2017๋…„ 17.5%๋กœ ๋†’์ง€ ์•Š์•˜๋‹ค. ๋‘˜์งธ, ๊ด‘์—ญ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด ๊ฐ„์˜ ํšจ์œจ์„ฑ์˜ ์ฐจ์ด๋Š” ์ˆœ์ˆ˜๊ธฐ์ˆ ์  ํšจ์œจ์„ฑ์— ๊ธฐ์ธํ•˜๋Š” ๊ฒƒ์œผ๋กœ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ์†Œํ†ต ํšจ์œจ์„ฑ์€ ์„ธ์ข…์‹œ๊ฐ€ ๊ฐ€์žฅ ๋†’๊ณ , ๋‹ค์Œ์œผ๋กœ ๊ฐ•์›, ์ „๋‚จ์˜ ์ˆœ์œ„๋ฉฐ, ๊ฒฝ๊ธฐ์™€ ์ธ์ฒœ์ด ๊ฐ€์žฅ ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ, ๊ฐ€์žฅ ๋น„ํšจ์œจ์ ์ธ ๊ฒฝ๊ธฐ์˜ ๊ฒฝ์šฐ, ๊ณต๋ฌด์› ์ˆ˜๋ฅผ26.1%๋ฅผ ์ค„์ด๊ณ , ๋‹ค๋ฅธ ์‚ฐ์ถœ ์š”์†Œ๋Š” ์ฆ๊ฐ€์‹œํ‚ฌ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋„ท์งธ, ์†Œํ†ต ํšจ์œจ์„ฑ์— ์˜ํ–ฅ์„๋ฏธ์น˜๋Š” ์š”์ธ ์ค‘์—์„œ ๋ฏผ์›์‚ฌ๋ฌด์ฒ˜๋ฆฌ ํ™œ๋™, ์‚ฌํšŒํ™œ๋™ ์ฐธ์—ฌ์œจ์ด ์ค‘์š”ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์†Œํ†ต ํšจ์œจ์„ฑ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด ๋„์‹œ ํŠน์„ฑ์— ๋งž๋Š” ์†Œํ†ต์ง€์ˆ˜๋ฅผ ํ™•๋ณดํ•˜๋Š” ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ, ์†Œํ†ต ํ™œ๋™์„ ๊ฐ•ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์ง€์†์ ์ธ ์ฃผ๋ฏผ ์˜๊ฒฌ์ˆ˜๋ ด, ์†Œํ†ต ์ธํ”„๋ผ ๊ตฌ์ถ•, SNS์„ ์ ๊ทน์ ์œผ๋กœ ํ™œ์šฉํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.

This study is to evaluate the efficiency of communication administration services between local governments and residents using DEA techniques for 17 Local governments in Korea. The input indicators include the number of civil servants and the general appropriation budget (public administration budget), and the output indicators include civil service activities, life satisfaction, volunteer participation rate, and social activity participation rate. Communication efficiency was measured by DEA-CCR, BCC, SEM, and Super-SBM models, and the ranking of each local government was presented using the super-efficiency value. The analysis results are as follows. First, communication efficiency was not high as 17.5% in 2015, 23.5% in 2016, and 17.5% in 2017. Second, the difference in efficiency among local governments is due to pure technical efficiency. Third, communication efficiency was the highest in Sejong City, followed by Gangwon and Jeonnam, and Gyeonggi and Incheon were the lowest. Fourth, the factors affecting communication efficiency were the civil affairs processing and social activity participation rate. In conclusion, in order to increase communication efficiency, it is necessary to secure a communication index that matches the characteristics of the city. In addition, in order to strengthen communication activities, it is required to continuously collect opinions from residents, establish a communication infrastructure, and use social network service(SNS)

โ… . ์„œ ๋ก 

โ…ก. ์†Œํ†ตํšจ์œจ์„ฑ๊ณผ ์„ ํ–‰์—ฐ๊ตฌ

โ…ข. ๊ณต๊ณต๊ธฐ๊ด€์˜ ์†Œํ†ตํšจ์œจ์„ฑ ํ‰๊ฐ€๋ชจํ˜•

โ…ฃ. ๊ด‘์—ญ์ž์น˜๋‹จ์ฒด์˜ ์†Œํ†ตํšจ์œจ์„ฑ ํ‰๊ฐ€

โ…ค. ์ข…ํ•ฉ ๋ฐ ๊ฒฐ๋ก 

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