• Journal of Korean Society of Forest Science
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• v.17 no.1
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• pp.23-28
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• 1973

In this survey, to estimate volume growth of pitch pine (Pinus rigida Mill) stand, diameter growth was estimated. Among 223 sample trees, the number of rejected trees was 12, about 5 percent of total sample trees. The stand showed uniform growth and rejected trees included insect-damaged trees. Compared with reports made on forest classification basis, pitch pine a single species showed faster growth. Minimum, average and maximum value of D.B.H and mean annual diameter growth, of 16 year old pitch pine stand, were as follow. The correlation of each factors estimated by 9590 of confidence interval is shown in the table of correlation as bellow.

• Journal of Families and Better Life
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• v.29 no.4
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• pp.125-145
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• 2011

The purposes of this study were to examine low-income households' financial statuses and the socio-economic characteristics of single-person and non-single person households according to the financial indexes used for evaluating financial security and growth status developed based on financial ratios. Using 2009 KLIPS(Korean Labor & Income Panel Survey) data collected by the Korean Labor Institute, the satisfaction levels from the indexes were analyzed and compared between the two household types. The results showed that 46.0% of single-person households were not satisfactory in terms of all financial growth indexes but were partially satisfactory in terms of all financial security indexes. These householders tended to be females and in the their 70s, who lived in Seoul or in a suburb of Seoul, Korea. They reported problems with a lack of financial growth possibilities. 47.0% of non-single person households were not satisfactory in terms of all financial growth indexes but were partially satisfactory in terms of all financial security indexes. These householders tended to be males in their 60s and 70s with no job who were living in Seoul or in a suburb of Seoul, Korea. They reported having low level of liquidity and high level of debt redemption. 42.6% of single-person households were not satisfactory in terms of both financial security and growth indexes partially. These householders tended to be females in their 20s or 70s who were living in rural areas. They reported problems related to an adverse balance between household income and expenditures and a large scale of debt. 43.1% of non-single households were not satisfactory in terms of both financial security and growth indexes partially. These householders tended to be males in their 60s or 70s and homeowners. They reported problem related to an adverse balance of household income and expenditures and high a level of housing expenditures and liquidity. The research findings have implication for policy makers considering financial support programs and welfare programs for low-income householders, considering the recent changes in households structures.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.297-303
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• 2019

The purpose of this study was to investigate the moderating effect of growth mindset between female adolescents' domestic abuse experience and school adaptation. For this purpose, a survey was conducted on 485 female adolescent girls in D city, Chungcheongnam-do, and the data collected were analyzed for differences test, correlation analysis, and regression analysis of moderating effects. Findings are as follows. First, school adaptation differed according to parents' earning income and academic achievement. Second, growth mindset and school adaptation showed significant positive correlation, but home abuse showed negative correlation with other variables. Third, the result of regression effect of moderating effect showed that the growth mindset for personality had a moderating effect. Finally, based on this study, we discussed ways to improve the school life of female students and teenagers. Specifically, it was suggested to consider the growth mindset and age for personality.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.281-294
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• 2021

Purpose - The purpose of this study was verifying the policy effects by field of innovative growth engines, focusing on the discussion of the relationship between government support and corporate R&D activities (substitute/complementary goods), and based on the results, policy recommendations for promoting private R&D were carried out. Design/methodology/approach - Through literature research, academic/theoretical discussions about relationship between government support and corporate R&D activities were synthesized. Next, survey data were collected for companies engaged in the field of innovative growth engines and empirical analysis was conducted on the relationship between government support and R&D activities in 13 major sectors. Findings - First, as a result of analyzing all companies regardless of sector, government R&D subsidies had a positive (+) relationship with R&D activities of companies engaged in innovative growth engines, that is, a complementary relationship. Next, as a result of performing empirical analysis by dividing the 13 fields, it was found that 9 fields were complementary goods in which government support had a positive (+) effect on the R&D activities of companies. On the other hand, in the remaining four fields, the effect of government support on corporate R&D activities was not statistically significant. Research implications or Originality - In order to promote R&D activities of companies in the 9 fields where government support acts as a complementary product, it is necessary to establish policies centered on direct government support. On the other hand, it would be more desirable to seek indirect support rather than direct support in the 4 fields where government support did not have a statistically significant effect on corporate R&D activities.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.49-56
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• 2023

The purpose of this study is to verify the mediating effect of career adaptability in the relationship between growth mindset and occupational engagement. A total of 203 data were collected through an online survey targeting university students. For data analysis, frequency analysis and descriptive statistics analysis were used via SPSS 25.0 and AMOS 25.0 software. As a result of the study, growth mindset had a direct effect on occupational engagement (𝛽=.254, p<.01) and the mediating effect of growth mindset on occupational engagement through career adaptability was also statistically significant. (𝛽=.137, p<.01). This study suggests that it is important to promote occupational engagement for students' correct career guidance, and to this end a practical strategy for cultivating a growth mindset and career adaptability is needed.

• Industry Promotion Research
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• v.8 no.4
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• pp.81-89
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• 2023

This study aims to provide basic data to increase the happiness of college students by verifying whether a growth mindset moderates the mediating effect of teachers' autonomy support for students in the relationship between academic achievement and happiness. The survey subjects were intentionally sampled from 396 engineering students attending a university in Guangzhou who performed a business practice project. The questionnaire method was used to collect data, and the collected data was analyzed using SPSS PC+ Win. 27.0 and PROCESS macro 4.2. The applied statistical techniques were frequency, reliability, correlation, and moderated mediation effect analysis. The research results are as follows. First, there was a significant positive correlation between academic achievement, teachers' autonomy support, growth mindset, and happiness. Second, a growth mindset played a role in increasing the impact of academic achievement on happiness through teachers' autonomy support. Therefore, it was confirmed that a growth mindset increases the mediating effect of teachers' autonomy support in the relationship between academic achievement and happiness. Based on the research results, measures to improve the happiness of college students were suggested.

• Journal of the Korean Regional Science Association
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• v.39 no.4
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• pp.53-71
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• 2023

This study aims to identify the contribution of factors to employment growth over the past 20 years (1996-2016) for seven metropolitan areas in Korea. For this purpose, we performed a multifactor partitioning (MFP) analysis based on the business survey data provided by Statistics Korea. The key findings of the analysis are as follows. First, over the long run, the region effect is dominant in metropolitan employment growth, followed by the industry mix effect. On the other hand, the dynamic MFP findings suggests that future regional employment disparities are likely to be explained by industry structure. Second, the gender mix and decent job mix effect do not significantly contribute to regional employment growth. However, the contributions of individual factors are not invalid, and it is possible to infer a pattern of declining employment for men-permanent workers and increasing employment for women-contingent workers. These results indicate the importance and necessity of employment policies that can promote structural transition in regional industries and qualitative growth accompanied by employment stability.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.39-48
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• 2024

This study is a descriptive research study to determine the stress, resilience, and social support of nurses who cared for COVID-19 patients and the impact on post-traumatic growth. The survey was conducted on 179 nurses who cared for COVID-19 patients at a general hospital located in D City from July 19, 2021, to August 10, 2021. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using SPSS 22.0. Post-traumatic growth showed a significant positive correlation with resilience (r=.499, p=<.001) and social support (r=.494, p=<.001). As a result of multiple regression analysis, prior knowledge about COVID-19 (𝛽=.142, p=.023), resilience (𝛽=.330, p =<.001), and social support (𝛽=.296, p =<.001) was a significant variable affecting post-traumatic growth. These results will be used as basic data to improve nurses' post-traumatic growth.

• Industry Promotion Research
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• v.9 no.1
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• pp.241-248
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• 2024

This study aims to determine whether happiness and hope mediate in the relationship between growth mindset and academic achievement among Chinese college students. Data were collected through a survey targeting 337 college students purposively sampled at a university in Guangdong, China. The collected data was analyzed using SPSS PC+ Win ver. 25.0 and SPSS PROCESS macro ver. 4.2. The statistical methods applied were frequency analysis, reliability analysis, correlation analysis, and dual mediation effect analysis. The conclusion of the study is as follows. First, growth mindset, happiness, hope, and academic achievement all showed significant positive correlations. Second, college students' happiness and hope double mediated the relationship between a growth mindset and academic achievement. Based on these results, this study proposed a plan to utilize not only a growth mindset but also happiness and hope to improve the academic achievement of college students.

• Analyses & Alternatives
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• v.8 no.1
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• pp.59-85
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• 2024

This study examines the impact of the development of the artificial intelligence (AI) industry on the economic growth of South Korea. The study uses variables such as the revenue and patent applications of AI-related companies, as well as industry-specific total factor productivity and GDP, to estimate the effects. The results suggest that the growth of the AI industry has a positive effect on the economic growth with a lag of about one year. Specifically, the effect of government AI revenue on GDP growth appears to be greater than that of private companies or consumer-focused AI revenue. This indicates that government policies aimed at promoting the diffusion of the AI industry have had significant effects. The study notes that the period covered by the AI industry survey data is relatively short, and there is a lack of detailed data for the manufacturing sector. I suggest that further improvements and accumulation of data could lead to more robust results.