• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.63-70
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• 2012

In spite of growing demand for the region specific statistics, due to the increase in the cost of making out statistics and other reasons, utilizing survey statistics has limitation on coping with it. Thus, administrative statistics could be a feasible option. In this study, we selected "representative statistics", which are frequently used in establishing regional policy and reflect regional characteristics, among the Jeollabuk-do's administrative statistics. And we suggested the way to enhance quality and credential of the administrative statistics by using systematic management. As a result, we selected 45 statistics for Jeollabuk-do's "representative statistics". The reason that we raise the issue on the necessity of selecting "representative statistics" and specify its selection process is to give guidance to systematic management and efficient utilization of the local government's administrative statistics.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.6
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• pp.2895-2899
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• 2016

Background: Increasing breast cancer (BC) incidence rates have been reported from India; causal factors for this increased incidence are not understood and diagnosis is mostly in advanced stages. Trivandrum exhibits the highest BC incidence rates in India. This study aimed to estimate trends in incidence by age from 2005-2014, to predict rates through 2020 and to assess the stage at diagnosis of BC in Trivandrum. Materials and Methods: BC cases were obtained from the Population Based Cancer Registry, Trivandrum. Distribution of stage at diagnosis and incidence rates of BC [Age-specific (ASpR), crude (CR) and age-standardized (ASR)] are described and employed with a joinpoint regression model to estimate average annual percent changes (AAPC) and a Bayesian model to estimate predictive rates. Results: BC accounts for 31% (2681/8737) of all female cancers in Trivandrum. Thirty-five percent (944/2681) are <50 years of age and only 9% present with stage I disease. Average age increased from 53 to 56.4 years (p=0.0001), CR (per $10^5$ women) increased from 39 (ASR: 35.2) to 55.4 (ASR: 43.4), AAPC for CR was 5.0 (p=0.001) and ASR was 3.1 (p=0.001). Rates increased from 50 years. Predicted ASpR is 174 in 50-59 years, 231 in > 60 years and overall CR is 80 (ASR: 57) for 2019-20. Conclusions: BC, mostly diagnosed in advanced stages, is rising rapidly in South India with large increases likely in the future; particularly among post-menopausal women. This increase might be due to aging and/or changes in lifestyle factors. Reasons for the increased incidence and late stage diagnosis need to be studied.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.643-651
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• 2021

This study aims to determine the response of regional economic growth to the financial performance of regional economies in regard to the liquidity conditions, saving-investment gaps, trade openness, inflation, as well as the national economic growth. The basic logic theory of research uses the principles of open economics and financial intermediary systems. The data used in this study are secondary data, and the form of data is a quarterly time series for the period from 2008 to 2019. The data were obtained from various publications, such as the Central Statistics Agency (CSA), Regional Financial Economics Statistics (RFES), Indonesian Banking Statistics (IBS), and the Financial Services Authority (FSA). Data processing was done through VAR/VECM analysis; short-term and long-term equilibrium analyses were carried out. The results of the analysis illustrate that regional economic growth and the conditions of liquidity, saving-investment gaps, trade openness, inflation, and national economic growth are related and lead to significant impact variations in the provinces of Papua and West Papua. In conclusion, the findings of this research support the leading supply hypothesis and reformulate the strategy and policy of economic development, bearing in mind that there are still many underdeveloped districts in these two provinces.

• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.437-446
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• 2010

This paper is to analyze the relationships among the service quality of regional festival, revisiting the festival, which is a customer loyalty, and orally transmitted effect in Jeonju International Film Festival (JIFF), which is a regional festival. It is significant in that the satisfaction of service quality effects on the overall satisfaction in the film festival Major factors for film festival service quality such as facility convienence, souvuior, program, PR, information and accessbility is significant in the statistics. It is estimated that overall satisfaction for service quality and royality affect each other positively.

• Communications for Statistical Applications and Methods
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• v.31 no.1
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• pp.37-53
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• 2024

In this study, flood records from 79 sites across Thailand were analyzed to estimate flood indices using the regional frequency analysis based on the L-moments method. Observation sites were grouped into homogeneous regions using k-means and Ward's clustering techniques. Among various distributions evaluated, the generalized extreme value distribution emerged as the most appropriate for certain regions. Regional growth curves were subsequently established for each delineated region. Furthermore, 20- and 100-year return values were derived to illustrate the recurrence intervals of maximum rainfall across Thailand. The predicted return values tend to increase at each site, which is associated with growth curves that could describe an increasing long-term predictive pattern. The findings of this study hold significant implications for water management strategies and the design of flood mitigation structures in the country.

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.125-140
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• 2008

The purpose of this study is to analysis the economic impacts of regional cultural festival via using the regional input-output model. In order to achieve this purpose, calculate output, value added and employment multiplier impacts of the Jeonju International Film Festival. The impacts of the JIFF on regional economic follow as ; Output is 112 hundred million won, value added is 53 hundred million won and employes is 254 labors. We need a new following strategies to obtain highly positive impacts from regional cultural festival. It needs to made networks among sight-seeing places, cultural remains, restaurants, hotels and entertainment institutions, in order to made visitors and customers expend much.

• Research in Community and Public Health Nursing
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• v.29 no.4
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• pp.414-428
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• 2018

Purpose: The purpose of this study is to identify the spatial distribution of hypertension prevalence and to investigate individual and regional-level factors contributing to the prevalence of hypertension in the region. Methods: This study is a cross-sectional research using the 2015 Community Health Survey. Total 64,473 people from 7 metropolitan cities were used for the final analysis. Geoda program was adopted to identify the regional distribution of hypertension prevalence and analyzed by descriptive statistics, one-way ANOVA and correlation analysis using SPSS statistics 23.0 program. Multi-level analysis was performed using SPSS (GLMM). Results: The prevalence of hypertension was related to individual level factors such as age, monthly household income, normal salt intake, walking practice days, and regional level factors including number of doctors per 10,000 population, number of parks, and fast food score. Besides, regional level factors were associated with hypertension prevalencies independently without the effects of individual level factors even though the influences of individual level factors ware larger than those of regional factors. Conclusion: Respectively, both individual and regional level factors should be considered in hypertension intervention programs. Also, a national level research is further required by exploring various environmental factors and those influences relating to the hypertension prevalence.

• Journal of Distribution Science
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• v.10 no.7
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• pp.23-31
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• 2012

The purpose of this study is to investigate existing world economic science theories and concepts of sustainable development as well as create original system of criteria and indicators to assess potential and conditions for sustainable development from a regional perspective and based on the above justify proposals for public authorities to improve methods of economic regulation for regional development. To achieve the goal evolution process of existing theories and concepts of sustainable development and "green growth" have been studied in terms of its adaptation to the spatial development of Kazakhstan, comparative dynamics of natural resources consumption in the Asia-Pacific region and Kazakhstan were investigated as well. Methodology. World best theory and practice methods for assessment of the level of sustainable development of the country and some of its territories were also studied. We selected the best system of criteria and indicators for assessment of economic, social and environmental sustainability of regional systems. Methods offered in this article are based on traditional and new factors of economic development and conditions for operation of regional systems. Indicators are chosen with a glance to basic goals for future development of regions in Kazakhstan. It is recommended to use two levels of methodology offered by author, namely national and regional, and at the local level later (districts, municipalities, cities). The results. Method offered by the author has been tested based on materials and statistics of regions in Kazakhstan. Suitability and usability of the proposed system of criteria and indicators for measuring of economic, social and environmental sustainability of regional systems was proved. Based on this analysis it was found out that there are regions in Kazakhstan that differ from each other by most of key indicators of sustainable regional development and this tendency is increasing. Conclusions and recommendations. As a result of this analysis, the authors have substantiated a number of proposals on methods of analysis to be used, improvement of methods of regional development, implementation of institutional reforms, as well as improvement of regional statistics. This article provides recommendations that can be successfully used in the management practices by public authorities to implement a new regional strategy focused on sustainable development in future.

• Communications for Statistical Applications and Methods
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• v.25 no.4
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• pp.341-354
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• 2018

The one of the principles described in ICH E9 is that only results obtained from pre-specified statistical methods in a protocol are regarded as confirmatory evidence. However, in multi-regional clinical trials, even when results obtained from pre-specified statistical methods in protocol are significant, it does not guarantee that the test treatment is approved by regional regulatory agencies. In other words, there is no so-called global approval, and each regional regulatory agency makes its own decision in the face of the same set of data from a multi-regional clinical trial. Under this situation, there are two natural methods a regional regulatory agency can use to estimate the treatment effect in a particular region. The first method is to use the overall treatment estimate, which is to extrapolate the overall result to the region of interest. The second method is to use regional treatment estimate. If the treatment effect is completely identical across all regions, it is obvious that the overall treatment estimator is more efficient than the regional treatment estimator. However, it is not possible to confirm statistically that the treatment effect is completely identical in all regions. Furthermore, some magnitude of regional differences within the range of clinical relevance may naturally exist for various reasons due to, for instance, intrinsic and extrinsic factors. Nevertheless, if the magnitude of regional differences is relatively small, a conventional method to estimate the treatment effect in the region of interest is to extrapolate the overall result to that region. The purpose of this paper is to investigate the effects produced by this type of extrapolation via estimations, followed by hypothesis testing of the treatment effect in the region of interest. This paper is written from the viewpoint of regional regulatory agencies.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.