• Title/Summary/Keyword: 일자리소멸

Search Result 12, Processing Time 0.016 seconds

A study on the influence of the regional location factors to the lifecycle of manufacturing firms in the Seoul Metropolitan Area (수도권 시군구별 입지요인이 제조업 기업의 생애주기에 미치는 영향 연구)

  • An, Youngsoo;Lee, Seungil
    • Journal of the Korean Regional Science Association
    • /
    • v.31 no.3
    • /
    • pp.55-77
    • /
    • 2015
  • The purpose of this research is to analyze the influence of the regional location factors to the lifecycle of manufacturing firms in the Seoul Metropolitan Area. A firm has a lifecycle in common like a household. The firm's lifecycle is divided into 4 sections such as formation, dissolution, growth and decline for the manufacturing firms as light industry, heavy industry and high-tech industry. In addition, the regional location factors are divided into 4 categories. As a result of this research, there are differences for the statistically significant location factors. In addition, the value for the explanation ability of each multiple linear regression model (adj. $R^2$) was high in the formation and growth sections than in dissolution and decline sections. It means that the local governments need differentiated policies considering their regional characteristics for the location factors by firm's lifecycle when they established policies for industry or job. From the view point of the public sectors, it is much important to focus on formation and growth of firms.

Analysis of Subject Category on Artificial Intelligence Discourse in Newspaper Articles (신문기사에 나타난 인공지능 담론에 대한 주제범주 분석)

  • Lee, Soo-Sang
    • Journal of Korean Library and Information Science Society
    • /
    • v.48 no.4
    • /
    • pp.21-47
    • /
    • 2017
  • This study aims to analyze features of topics about AI(Artificial Intelligence) which is gaining a massive attention these days. Newspaper articles published from 2016 to June, 2017 were selected to analyze key subjects. The reason why the period was selected is people started to get attention on AI since 2016 as AlphaGo came out and gave a shock. The number of coded main message was 1,210 in 525 newspaper articles in total. The messages were categorized as three subject categories: the seven major categories, 62 middle categories. and minor categories. The seven major categories contains issues such as AI research, AI application, AI business, AI era, AI argument, AlphaGo, and other topics. The first features of issues about AI found in the major subject categories is that they are various and complicate. Second, it is important that social and policy-level issues related AI, such as job losses, misuse, and error should be dealt with to utilize AI safely. Last, issues related the role of human and revolution of education system in the AI era were shown as subjects which are important but hard to discuss.