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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.21 No.4
- 발행연도
- 2014.12
- 수록면
- 381 - 401 (21page)
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초록· 키워드
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This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section’s economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.
목차
Abstract
1. 서론
2. 이론적 배경
3. 실증 연구 설계
4. 결론
참고문헌
참고문헌 (39)
참고문헌 신청
1. [학술지(정기간행물)] - 김신표 / 2011 / 소프트웨어산업이 지역경제에 미치는 영향 분석 / 디지털융복합연구 9 (6) : 137 ~ 151
2. [학술지(정기간행물)] - 강석훈 / 2003 / 한국의 소프트웨어 자본스톡 추계 / 통계연구 8 (1) : 59 ~ 84
3. [학술지(정기간행물)] - 고규안 / 2010 / 정보보호관리체계(ISMS) 인증의 경제적 효과 분석 / 인터넷 이슈 (2) : 6 ~ 99
4. [보고서] - 고상원 / 2007 / SW산업의 국민경제적 파급효과 분석 : 1 ~ 110
5. [학술지(정기간행물)] - 노규성 / 2012 / SW산업의 일자리 창출역량 분석 / 디지털융복합연구 10 (6) : 41 ~ 47
2. [학술지(정기간행물)] - 강석훈 / 2003 / 한국의 소프트웨어 자본스톡 추계 / 통계연구 8 (1) : 59 ~ 84
3. [학술지(정기간행물)] - 고규안 / 2010 / 정보보호관리체계(ISMS) 인증의 경제적 효과 분석 / 인터넷 이슈 (2) : 6 ~ 99
4. [보고서] - 고상원 / 2007 / SW산업의 국민경제적 파급효과 분석 : 1 ~ 110
5. [학술지(정기간행물)] - 노규성 / 2012 / SW산업의 일자리 창출역량 분석 / 디지털융복합연구 10 (6) : 41 ~ 47
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UCI(KEPA) : I410-ECN-0101-2016-005-001048000