• Korean Journal of Legislative Studies
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• v.23 no.1
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• pp.81-111
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• 2017

This article analyzes three major issues related to regional voting in South Korea. First, is regional voting a regional problem or an ideological problem? Second, is regional voting caused by regional identity or regional interest? Third, has regionalism waxed or waned? Analyses of the cumulative data set since the 15th presidential election yield the following results. First, Yongnam people are more conservative than Honam people. Second, regional voting consists of ideological and regional components. Third, there exist both a hometown effect and an abode effect in regional voting, but the latter is significantly greater than the former. Forth, regionalism had weakened between the 15th National Assembly election and the 16th Presidential election, but has not varied much since then.

• Analyses & Alternatives
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• v.6 no.1
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• pp.223-258
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• 2022

The 2018 local elections completely upended the composition of Busan's city council, with the council membership changing from being solidly and consistently conservative to being over 80% liberal. What explains this anomalous outcome? While existing literature suggests the outcome of the 2018 city council elections was the consequence of a combination of structural and strategic factors, such as the decline of regional voting, we argue that the individual-level evaluation of President Moon Jae-in is one of the primary factors driving this result. Although coattails effects are commonly considered in concurrent national legislative elections, the Presidentialized and nationalized politics of Korea makes it possible for Presidential elections to affect local elections as well. We assess our explanation through an analysis of repeated cross-sectional survey data collected just before the 2018 local elections. The results of the analysis show that support for the Democratic Party is very strongly predicted by individual-level evaluation of President Moon. When considered in the context of the timing of presidential and local elections, the results suggest that Presidential coattail effects are capable of destabilizing established political patterns, such as regional voting, if perhaps only in a sporadic and idiosyncratic fashion, depending on whether or not local elections are held early on in a President's term.

• Journal of the Korean association of regional geographers
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• v.20 no.3
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• pp.315-333
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• 2014

The study was carried out to analyze election regionalism and to find out the spatial pattern of party support drawn in the 18th general election. Strongly biased pattern found to be caused by party strategies and voting behaviour preferring for the local party. Each party employed the strategies such as tactical and nepotic nomination, regional development pledges, and local instigation of regionalism. In consciousness survey done by the National Election Commission, primarily people tend to choose the representative by his(her) party and secondly, they consider their carrier and occupation. They vote for the same party in the local district and proportional representation. While election regionalism strongly found in voting behaviour of each party's main strongholds based on spatial pattern of major party support, voters of Seoul and Chungbuk tend to vote for their interests due to regional development pledges such as 'Newtown' Development and 'Multifunctional Administrative City' construction.

• Journal of the Korean association of regional geographers
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• v.13 no.4
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• pp.381-395
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• 2007

After the democratization process since 1988, the national scale voting behavior in congressional elections has changed from a rural-government party and urban-opposite party connection to a political regionalism oriented pattern. In this context, the case study with provincial border regions aims to investigate possible party identification change of the region, and to find a relationship between polling score ratio and socio-political characteristics of the candidates. As a result, Yeongdong shows a strong negation to the presumed Chungcheong local party and shows a continuous party identification with the Kyungsang local party. Muju reveals a more or less weakened identification with the Jeolla local party, on the contrary, Kimcheon shows a unchanged strong identification with the Kyungsang local party. The regional neighborhood effect was verified quite partly between the subdivision districts of the border regions. With a application of linear fitting method, it is certified that voters have attached great importance to the belonging party, native place, as well as political career of the candidates as a voting criterion.

• Journal of the Korean Regional Science Association
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• v.35 no.2
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• pp.3-18
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• 2019

This study aims to analyse the relationship between the sense of community and resident online participation. To solve a variety of social problems in localities, both resident participation and the sense of community have been getting more important. Online voting is a project that is being implemented by the city of Seoul to expand the participation of residents. We surveyed residents living in the apartment complex in Seoul that was participating in with the pilot program for online voting. The empirical analysis shows the sense of community was, indeed, positively related to resident online participation. In particular, shared emotional connection, a component of the sense of community, was the most important factor for the resident online participation.

• Survey Research
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• v.8 no.1
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• pp.81-104
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• 2007

This paper discusses the central issues of election studies and in this contort, suggests the panel survey method as an alternative to general opinion surveys. In doing so, it also explains the advantages and benefits that a panel survey provides, and discusses the weakness of the 2006 panel survey. East Asia Institutes, constructing the consortium which includes JoongAng Ilbo, SBS, and Hankook Research, traces the change in voting decisions during the 2006 Korean Local Elections. Four regional panels, focusing on the gubernatorial elections in Seoul, Pusan, Kwangju, and Chungnam, enable researchers to study the critical issues of election studies such as the causal relations among a set of voting determinants, the impact of campaigns, and the characteristics of floating voters.

• Korea Trade Review
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• v.47 no.2
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• pp.69-88
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• 2022

This paper aims to predict Busan's regional product and employment using the logistic regression models and machine learning models. The following are the main findings of the empirical analysis. First, the OLS regression model shows that the main industries such as electricity and electronics, machine and transport, and finance and insurance affect the Busan's income positively. Second, the binomial logistic regression models show that the Busan's strategic industries such as the future transport machinery, life-care, and smart marine industries contribute on the Busan's income in large order. Third, the multinomial logistic regression models show that the Korea's main industries such as the precise machinery, transport equipment, and machinery influence the Busan's economy positively. And Korea's exports and the depreciation can affect Busan's economy more positively at the higher employment level. Fourth, the voting ensemble model show the higher predictive power than artificial neural network model and support vector machine models. Furthermore, the gradient boosting model and the random forest show the higher predictive power than the voting model in large order.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.40-53
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• 2016

Participatory budgeting has been introduced and proliferated with differentiated types by Local Finance Act which had been revised in 2011. This study aims to classify the types of Participatory Budgeting by participatory institutions and participatory levels and suggest the implications. We have reviewed the participatory budgeting operation ordinances, operating plans and operating systems of 243 local governments. And the participatory budgeting can be divided into five types. First, submission of opinion type found in 100 local governments is characterized by operating without participatory institutions. Second, commission type found in 85 local governments is characterized by having only participatory budgeting committee. Third, regional meeting type found in 21 local governments is characterized by having participatory budgeting committee and regional meeting or only regional committee. Fourth, public-private partnership type found in 30 local governments is characterized by having citizen-government meeting. Fifth, delegated power type found in 7 local governments is characterized by having policy fair or mobile voting, or both. Analysis showed that institutionalization levels of participatory budgeting is not high because many local governments(76.5%) are belong to submission of opinion type or commission type in South Korea. For developing participatory budgeting, participatory institutions, such as citizen-government meetings, policy fair or mobile voting, should be adopted and proliferated in more and more local governments.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.53-63
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• 2023

This study developed a cognitive impairment predictive model as one of the screening tests for preventing dementia in the elderly by using Automated Machine Learning(AutoML). We used 'Wearable lifelog data for high-risk dementia patients' of National Information Society Agency, then conducted using PyCaret 3.0.0 in the Google Colaboratory environment. This study analysis steps are as follows; first, selecting five models demonstrating excellent classification performance for the model development and lifelog data analysis. Next, using ensemble learning to integrate these models and assess their performance. It was found that Voting Classifier, Gradient Boosting Classifier, Extreme Gradient Boosting, Light Gradient Boosting Machine, Extra Trees Classifier, and Random Forest Classifier model showed high predictive performance in that order. This study findings, furthermore, emphasized on the the crucial importance of 'Average respiration per minute during sleep' and 'Average heart rate per minute during sleep' as the most critical feature variables for accurate predictions. Finally, these study results suggest that consideration of the possibility of using machine learning and lifelog as a means to more effectively manage and prevent cognitive impairment in the elderly.

• Korean Journal of Legislative Studies
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• v.27 no.3
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• pp.35-68
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• 2021

In the German federal election in 2021, the Social Democrats returned to power by a narrow margin and the Green Party emerged as the biggest winner. The two political parties took the lead by proposing policies that met the expectations of the people in the policies of climate and environment, pandemic response and health, and labor and social security. The Merkel effect did not play a significant role in the election, and it is highly likely that it will lead to government policy after the formation of a coalition. While the class cleavage in voting behavior has weakened, the generational cleavage has grown relatively large. Older people showed more support for the two major parties, while younger people showed higher support for the Green Party and the FDP. If the generational cleavage continues, it can be linked to the growth of the Green Party and the FDP, the continued weakening of the two major parties and the emergence of other new parties. In addition, the regional cleavage between the former East and West Germany still remain, which will affect the direction of the AfD and the Left and combine with other political cleavages. The 2021 German federal election can be said to be an election that heralds the realignment of the political party system.