• International Journal of Human Ecology
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• v.6 no.1
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• pp.17-28
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• 2005

This study examines factors determining contemporary Chinese households' food away from home (FAFH) expenditures using Becker's household production theory. Data came from the 2000 urban household survey in Guangdong Province, collected by National Bureau of Statistics (NBS) of China. It was revealed that the contemporary urban Chinese wives also substitute their household work by time-saving product, FAFH, as Becker's household production theory postulated. This suggests the important role of time-value (opportunity cost) in determining household FAFH expenditure across the cultures.

• Korean Journal of Human Ecology
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• v.18 no.3
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• pp.657-673
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• 2009

This research was focused on wives and theirs husbands who have been involved in extramarital affairs. The major purpose of this study was to find out wives' marital adaptation process and typology in the process of their husbands' affairs. The grounded theory provided the theoretical and methodological framework for this research. The qualitative data were obtained from ten wives whose husbands have had extramarital affairs through in-depth interview. The data wear analyzed through open, axial, and selective codings and formed a conditional matrix. This research classified these wives' adaptation into four types such as Separated Independent, Rigid Resigned, Connected Acceptive, and Chaotic Attached types.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.4 no.2
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• pp.52-61
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• 2001

At least, there are intense pressures on the natural habitats from various disturbance, including urbanization, extension of industrial area, and road construction. These human land use result in fragmentation of landscape and natural habitat. The ecological consequences of habitat fragmentation include the direct effects of habitat loss and the indirect effects of reduced inter-patch dispersal. The decline of biological diversity has been rapidly declined by the habitat loss and fragmentation. Conservation strategists should consider not only the habitat amount of that must be preserved, but also the spatial configuration of habitat across the landscape. But, the paucity of available data for most species forces landscape ecologists to develop the concept, model, and theory. The developed theories are often misused in academic papers and practical applications. The development history, presumption of concept, model, theory is ignored. This tendency have leaded to failure of landscape restoration and the use of theory in conservation practice have come under increasing attacks. This paper will highlight the ecological theory that have proven the most influential in landscape ecology, restoration and conservation : the theory of island biogeography, the theory of nested subset analysis, minimum viable population(MVP), the theory of metapopulation dynamics. And, it find the problem and usefulness of four theory in application to real world. Consequently, the understanding of theoretical implication about landscape ecological theory is required. We must carefully apply the theory after examining the problem and availability of various theory because of no existence of only one general theory.

• International Journal of Human Ecology
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• v.4 no.2
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• pp.55-75
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• 2003

The purpose of this study was to investigate the effect of employment related factors on household savings for precautionary purposes when controlling for financial security and to compare the results between the two different economic periods. A conceptual framework was developed based on the precautionary saving theory, the family stress theory, and previous empirical studies. As a self-insurance, a measure of security funds were developed and used as the dependent variable. Using data on working households in the 1992 and the 1998 Survey of Consumer Finances (SCF), a MLE estimation was conducted on the pooled data. The 1992 and 1998 data were used to reflect periods of economic recession and expansion, respectively. The results suggested that factors representing resources played the most significant role in determining the amount of security funds. Some of the employment related factors, preferences, financial security, and race were also significantly affected the amount of security funds. The results suggested that stable employment conditions were important for households to accumulate security funds. Households with more human resources and financial resources had a larger amount of security funds than those that had less human and financial resources. From the findings, implications for research, policies, and financial educators had been suggested.

• Korean Journal of Human Ecology
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• v.20 no.5
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• pp.917-926
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• 2011

The purpose of this study is to identify the influence of ego integrity on death anxiety of the elderly, mediated by depression based on Erikson theory(1963). For this study, 313 elderly over 60 years old in Daegu city participated in a survey. The data of the survey was analyzed using SPSS 15.0 and Structural Equation Modeling(SEM) with AMOS 7.0. The results of the study are as follows: ego integrity of the elderly does not influence death anxiety due to the suppressing effect of depression. However, depression does mediate the relation between ego integrity and death anxiety fully. Such findings suggest that the Erikson theory can also be applied to elderly Korean citizens. A practical benefit derived from the study's results is the proposition to implement a reminiscence program, reinforce depression treatment and prevention systems, and augment a death awareness movement for elderly.

• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• Korean Journal of Environmental Biology
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• v.36 no.3
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• pp.370-376
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• 2018

It is important to consider interaction between species in understanding structure and function of the biological community. Current ecological issues such as climate change and habitat loss emphasize the significance of the concept of species interaction in that varying species' interaction across environmental gradients may lead to altered ecological function and services. However, most community studies have focused on species diversity through analysis of quantitative indices based on species composition and abundance data without considering species interactions in the community. 'Ecological network analysis' based on network theory enables exploration of structural and functional properties of ecosystems composed of various species and their interactions. In this paper, network analysis of Cheonggye stream as a case study was presented to promote uses of network analysis on ecological studies in Korea. Cheonggye stream has a simple biological structure with link density of 1.48, connectance 0.07, generality 4.43, and vulnerability 1.94. The ecological network analysis can be used to provide ecological interpretations of domestic long-term monitoring data and can contribute to conserving and managing species diversity in ecosystems.

• The Korean Journal of Ecology
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• v.23 no.2
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• pp.89-100
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• 2000

On community data. sampled in regular intervals on a long-term basis. artificial neural networks were implemented to extract information on characterizing patterns of community changes. The Adaptive Resonance Theory and Kohonen Network were both utilized in learning benthic macroinvertebrate communities in the Soktae Stream of the Suyong River collected monthly for three years. Initially, by regarding each monthly collection as a separate sample unit, communities were grouped into similar patterns after training with the networks. Subsequently, changes in communities in a sequence of samplings (e.g., two-month, four-month, etc.) were given as input to the networks. After training, it was possible to recognize new data set in line with the sampling procedure. Through the comparative study on benthic macroinvertebrates with these learning processes, patterns of community changes in chironomids diverged while those of the total benthic macro-invertebrates tended to be more stable.

• Journal of Energy Engineering
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• v.23 no.4
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• pp.215-222
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• 2014

A theory-based methodology for describing the thermodynamic properties of molecular nitrogen is presented. The results obtained indicate a successful application of a fully consistent statistical method for the description of a molecular system in different phase states. The method employs a density of states equation for solid nitrogen and a perturbation potential for gaseous and liquid nitrogen. The main characteristics of the calculation method include the need for a minimal number of initial data and the absence of fitting parameters. The adequacy of the physical model that is the basis for the method allows a description of existing experimental data and the peculiarities of the thermodynamic properties.

• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.331-347
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• 2012

The purpose of this study was to explore how the Theory of Planned Behavior applies to five appearance management behaviors and the effects of three variables - attitude, subjective norm, and perceived behavior control on appearance management behaviors. The research was conducted by surveying 410 female adult respondents between the ages of 20 to 40 with the goal of predicting the appearance management behavior of women. The data were analyzed using IBM SPSS Statistics 19.0 and Amos 19 in addition to Frequency analysis and path analysis. In the first case, the potential for applying appearance management theory on appearance management behavior of women was observed. The appearance management behavior performed by women was classified into five categories: skin care behavior, makeup management behavior, apparel management behavior, hair care behavior, and weight management behavior. It was determined all five behaviors could be predicted by applying the Theory of Planned Behavior. In the second case, effects of attitude related to subjective norm and perceived behavior control related to skin care behavior was statistically significant. In terms of makeup management behavior, all of the three variables were statistically significant. With regard to apparel management behavior, only subjective norm behavior was statistically significant. Concerning hair care behavior, attitude and perceived behavior control were statistically significant. On weight management behavior only attitude was statistically significant.