• The Journal of Industrial Distribution & Business
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• v.13 no.12
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• pp.43-57
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• 2022

Purpose: Despite the numerous studies on factors impacting pro-environmental behavior, actual studies analyzing a relationship between pro-environmental behavior and eco-friendly channels (e.g., local food market and farmers' market channel) usage behavior (visit and purchasing frequency) are rare. This study investigated the relationship between consumers with positive pro-environmental behavior and eco-friendly channels usage behavior. Research design, data and methodology: The study investigated the relationship between pro-environmental behavior and eco-friendly channels (local food markets and farmers market) visit behavior by analyzing data from the Korea Consumer Agency's 2021 Korea Consumption Life Index, with a focus on the pro-environmental index. Relationship between pro-environmental behavior and whether eco-friendly channels visit or not were analyzed. Demographic variables also influence eco-friendly oriented channels visit. Data analysis used hierarchical regression, firstly inputted pro-environmental behavior, and then demographic variables inputted, and finally pro-environmental behavior and demographics interactions as moderating variables inputted. Results: Consumer's with positive behavior towards pro-environment were indeed more likely to choose local food market and farmers' market compared to other consumers. Demographic variables also effect local food market visit. Some demographic variables moderate this relationship. The results, however, differed by channel type. Conclusions: Pro-environmental behavior is closely related to eco-friendly channels (local food market and farmers; market) visit.

• Korea journal of population studies
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• v.14 no.2
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• pp.1-17
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• 1991

While various fiscal measures have been used to influence regional capital inflow or industrial location, the effect of fiscal variables on labor mobility has been little understood. Understanding the relationship between the composition of local public and urban migration would enhance the city govenment's ability to pursue an appropriate population policy. In order to examine the potential for local public finance to be utilized as a policy tool in directing urban population growth, this paper analyzes the impact of local government financial structure on urban migration. In examining the data on local government finance and the changes in population of Korean cities during the last ten years, it was found that cities with high per capita expenditure in regional development have experienced high population growth rates. In this study migration equations were constructed using various fiscal variables such as the proportion of special account expenditures which are mostly spent for local development purposes, per capita regional development expenditure, degree of local financial independence and per capita net fiscal benefit, along with other explanatory variables. The results of regression analysis showed that city government's regional development expenditure variables have a positive effect on urban net migration and a negative effect on outmigration. Fiscal independence and per capita net fiscal benefit had mixed effects on in and out migration variables, implying that local tax burden does not consistently deter inmigration or induce outmigration. Based on the results of this study some important policy implications can be found regarding local government's fiscal policies. Those cities seeking to attract higher population inflow should make a greater effort in appropriating local expenditures for regional development purposes such as infrastructure, housing, and transportation. city governments should not be too concerned about high local tax burden or necessarily seek to enhance financial independence for these factors do not exert a clear influence on urban population growth or labor supply.

• Journal of Distribution Science
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• v.12 no.8
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• pp.103-112
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• 2014

Purpose - There have been local government systems since June 1955. Many local governments have made use of festivals for regional public relations and the achievement of competitiveness. This study analyzes effective components of local festivals. There has been extensive research in relation to variables such as participation motivation, satisfaction level, recall intention, royalty, and recommend purpose. However, as a variable factor, attachment to the participation motivation of a festival has been overlooked along with support level to a festival. This study has added new variables named "attachment to local society" and "support level," which are dependent variables. We will study the relationship of these two variables. Research design, data, and methodology - This study has devised a cause-and-effect relationship model, which deduces that local residents' participation motivation for the festival will have positive influence on the festival support level and satisfaction level. We circulated questionnaires to local residents to get the data required to prove the hypothesis. To analysis the data, we used SPSS 21.0, and accomplished basic analysis through the analysis of frequency as well as descriptive statistical analysis. Further, we verified our measurement tools through reliability analysis, and examined the research hypothesis through multiple regression analysis. Results - With regard to the festival satisfaction level, the variables of local society attachment, festival attraction, escaping from the daily life, and family harmony have influence upon a positive effect (+) in this order. Among them, the variable of local society attachment has the greatest influence. However, in respect of support level for the festival, only the variables of local society attachment and escaping from the daily life have a valid influence on the positive effect (+), and local society attachment has relatively greater influence. In addition, not only does the festival satisfaction level affect the support level for the festival in terms of positive effect, the influence is also far-reaching, which verifies the mediating effect. Conclusions - The result shows that the local residents' satisfaction level with the Yudalsan Mountain Spring Flower Festival is comparatively high, which is due to the local society attachment. It also shows that it is difficult to create support without local residents' attachment with their area. Consequently, this study insists that the Yudalsan Mountain Spring Flower Festival should exceed its limitation as just a village-level party, in order to become a remarkable and outstanding festival, and suggests three operational implications: macro-environmental development, task environment development, and internal operational environmental development. From the macro-environmental perspective, the constant development of local culture and local business is proposed. In the task environment perspective, a new functional development for the festival is proposed. From the internal operational environmental perspective, improvements in festival operation methods are proposed. If these weak points are addressed and resolved through a more detailed approach, it will be very helpful for local government systems to operate the festival.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.983-997
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• 2010

This study is to explore the relationship between trust in local administrative organization and organizational performance. Local administrative organizations provide the citizens with administrative services. Heightening the organizational performance contributes the citizens' happiness and the stream of times through organizations' change. To provide high quality of administrative service to citizens, trust in organizations is more important than any other capital. The improvement of organizational performance needs through this social capital. Factors about trust variables and organizational performance variables are extracted through the theoretical discussions. To do the research, public servants in 7 local administrative organizations of Gangwondo were asked to do the survey about how trust in organizations affects organizationa performances. The results explain that trust variables are related to organizational performance, and the local administrative organization which is high in trust is high in organizational performance. Trust in local administrative organizations improves the organizational performance internally and the organization will obtain trust from the citizens externally.

• The Korean Journal of Community Living Science
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• v.28 no.4
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• pp.581-597
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• 2017

This study evaluated the effect of consumers' knowledge and attitude toward to local foods on purchase intention. The study data were collected through a three-week online survey of 500 household food purchasers who had bought local foods within the previous year. The results are as follows. First, examining the difference in the knowledge of local foods according to socio-demographic variables revealed that married people had more knowledge of local foods than singles according to marital status, and college graduates and higher had more knowledge than high school graduates and lower according to education level. Second, as a result of examining the difference in attitudes towards local foods according to socio-demographic variables, married people more than single people according to marital status, people in their 30s more than those in their 20s according to age and college graduates and higher more than high school graduates and lower according to education level had more positive attitudes towards local foods. Third, as a result of examining the difference in consumers' purchase intention towards local foods according to socio-demographic variables, according to age, and housewives had the lowest purchase intention towards local foods according to occupation. (Ed- I cannot understand: the section 'according to socio-demographic variables, according to age, and housewives had' is confused) People engaged in office/specialized/managerial jobs and those engaged in production/sales/service had the highest purchase intention. In regard to monthly average income, households that made less than KRW 4 million had the lowest purchase intention, and those that made KRW 4-8 million had the highest purchase intention. Fourth, the knowledge of local foods affected attitudes towards local foods. Fifth, attitudes towards local foods affected consumers' purchase intention. In other words, people with positive attitudes towards local foods had higher purchase intention.

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.13-24
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• 2020

This study analyzed the management efficiency of local food stores that are increasing recently. The analysis targeted 25 local food outlets in Jeonbuk area, and the analysis method analyzed the efficiency by CCR model. The input variables used to analyze the input-oriented efficiency of local food stores are business expenses, employees, organizational number of participating farms, and number of items, and sales are used as output variables. The main contents of the analysis are as follows. First, local food outlets increased due to support projects such as the government, local governments, and agricultural cooperatives, but their dependence was high. Second, the management efficiency of 25 local food stores in Jeonbuk is 28.0% when the efficiency is 1.000, and 72.0% of inefficient local food stores. Third, considering the projection point and the reference group, there was room for improvement in input variables. Therefore, it was determined that improvement efforts are needed to secure the continuity of local food outlets in the future. However, this study will require review of variable selection and analysis methods for further analysis.

• Journal of Agricultural Extension & Community Development
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• v.9 no.2
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• pp.215-231
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• 2002

The objectives of this study were (1) to measure the level of satisfaction on rural for local public service. (2) and analyse variables related to the public service. Reviewing the literature and related studies for theoretical framework, Six criteria characterize public service : (1) responsiveness. (2) convenience, (3) speed, (4) correctness, (5) pleasantness, (6) equality, which are reflected in the instrument of this study. By the results of analysis, two dimensions (convenience, responsiveness) and total satisfaction are related to their residential lengths of the same rural area. For the total public service satisfaction gender, age, educational level, income level, occupation, and residential years explained in 13.3% For the convenience dimension their variables accounted for 22.4%. For responsiveness dimension their variables interpreted in 23.2%. For speed and correctness dimension their variables explained in 21.6%. For pleasantness dimension their variables accounted for local public services in 15.3%. For equality dimension their variables explained in 16.2%.

• Journal of the Korean Statistical Society
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• v.11 no.2
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• pp.88-93
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• 1982

A local limit theorem for large deviations for the i.i.d. random variables was given by Richter (1957), who used the saddle point method of complex variables to prove it. In this paper we give an alternative form of local limit theorem for large deviations for the i.i.d. random variables which is essentially equivalent to that of Richter. We prove the theorem by more direct and heuristic method under a rather simple condition on the moment generating function (m.g.f.). The theorem is proved without assuming that $E(X_i)=0$.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.11-22
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• 2014

This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.

• The Journal of Information Systems
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• v.29 no.3
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• pp.35-52
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• 2020

Purpose Local governments in each region actively hold local festivals for the purpose of promoting the region and revitalizing the local economy. Existing studies related to local festivals have been actively conducted in tourism and related academic fields. Empirical studies to understand the effects of latent variables on local festivals and studies to analyze the regional economic impacts of festivals occupy a large proportion. Despite of practical need, since few researches have been conducted to predict the number of visitors, one of the criteria for evaluating the performance of local festivals, this study developed a model for predicting the number of visitors through various observed variables using a machine learning algorithm and derived its implications. Design/methodology/approach For a total of 593 festivals held in 2018, 6 variables related to the region considering population size, administrative division, and accessibility, and 15 variables related to the festival such as the degree of publicity and word of mouth, invitation singer, weather and budget were set for the training data in machine learning algorithm. Since the number of visitors is a continuous numerical data, random forest, Adaboost, and linear regression that can perform regression analysis among the machine learning algorithms were used. Findings This study confirmed that a prediction of the number of visitors to local festivals is possible using a machine learning algorithm, and the possibility of using machine learning in research in the tourism and related academic fields, including the study of local festivals, was captured. From a practical point of view, the model developed in this study is used to predict the number of visitors to the festival to be held in the future, so that the festival can be evaluated in advance and the demand for related facilities, etc. can be utilized. In addition, the RReliefF rank result can be used. Considering this, it will be possible to improve the existing local festivals or refer to the planning of a new festival.