Jemyung Lee

RESEARCH, TEACHING, or OTHER INTERESTS

Environmental Engineering, Geography, Planning and Development

Scopus Publications

Drivers of household carbon footprints across EU regions, from 2010 to 2015
Jemyung Lee, Yosuke Shigetomi, and Keiichiro Kanemoto
IOP Publishing
Abstract Urban regions are responsible for a significant proportion of carbon emissions. The carbon footprint (CF) is a practical measure to identify the responsibility of individuals, cities, or nations in climate change. Numerous CF studies have focused on national accounts, and a few combined consumer consumption and global supply chains to estimate additionally detailed spatial CF. However, the drivers of temporal change in detailed spatial CF are largely unknown, along with regional, spatial, and socioeconomic disparities. Here, we uncovered the drivers of changes in household CFs in EU regions, at the finest scale currently available, between 2010 and 2015. This study mapped the household CFs of 83 macro-regions across 27 EU nations and identified the driving factors underlying their temporal change. We combined multi-regional input-output tables and micro-consumption data from 275 247 and 272 045 households in 2010 and 2015, respectively. We decomposed EU regional CF, employing structural decomposition analysis, into five driving factors: emission intensity, supply chain structure, population, per capita consumption, and final demand share. For a deeper assessment of changes in the contribution of consumption patterns, we further categorized the regional CF into 15 factors, including 11 per capita consumption categories. We found that household CF drivers vary depending on region, population density, income, and consumption patterns. Our results can help policymakers adopt climate policies at the regional level by reflecting on the residents’ socioeconomic, spatial, and consumption conditions, for further ambitious climate actions.


The scale and drivers of carbon footprints in households, cities and regions across India
Jemyung Lee, Oliver Taherzadeh, and Keiichiro Kanemoto
Elsevier BV



Scaled-Down Experiments and Numerical Simulations for the Design of a Retention Tank with Rotatable Bucket
Seong-Jik Park, Chang-Gu Lee, Jemyung Lee, and Won Choi
American Society of Civil Engineers (ASCE)
AbstractRetention tanks are constructed to mitigate peak floods and capture sediments by storing combined sewage overflows. A rotatable bucket is used to sweep the settled particles at the bottom o...


GIS-Based evaluation of spatial interactions by geographic disproportionality of industrial diversity
Jemyung Lee and Satoshi Hoshino
MDPI AG
Diversity of regional industry is regarded as a key factor for regional development, as it has a positive relationship with economic stability, which attracts population. This paper focuses on how the spatial imbalance of industrial diversity contributes to the population change caused by inter-regional migration. This paper introduces a spatial interaction model for the Geographic Information System (GIS)-based simulation of the spatial interactions to evaluate the demographic attraction force. The proposed model adopts the notions of gravity, entropy, and virtual work. An industrial classification by profit level is introduced and its diversity is quantified with the entropy of information theory. The introduced model is applied to the cases of 207 regions in South Korea. Spatial interactions are simulated with an optimized model and their resultant forces, the demographic attraction forces, are compared with observed net migration for verification. The results show that the evaluated attraction forces from industrial diversity have a very significant, positive, and moderate relationship with net migration, while other conventional factors of industry, population, economy, and the job market do not. This paper concludes that the geographical quality of industrial diversity has positive and significant effects on population change by migration.


Contribution of Agricultural Infrastructure to Rural Development in the Republic of Korea
Sang Bong Im, Sang‐Hyun Lee, Jemyung Lee, and Taegon Kim
Wiley
AbstractThe aim of the study is to analyse the effects of large‐scale agricultural infrastructure investment on rural development. Accordingly, we selected the Yeongsan River Basin Comprehensive Development Project (YRBCADP) as the case project and evaluated the impacts of YRBCADP on agricultural and regional development individually. In terms of agricultural development, YRBCADP has contributed to the increase of farmland area, agricultural productivity, and farm income. The farmland of the project area was increased about 3.5 times, from 43 000 ha in 1970 to 150 000 ha in 2010, and the average rice yield per area was 3.97 t ha‐1 in 1973. In addition, YRBCADP has affected regional development positively, such as population, regional income, and transportation accessibility. The ratio of population decrease was 25.6% in the project area but was 41.8% in the no‐project area. The local tax per capita in the project area increased from 123 to 1747 million won in the period 1991–2011. The tidal embankment in YRBCADP has shortened travel distance, thus transportation costs were also reduced. This study reviewed the various effects of YRBCARD on rural development, and these results might offer useful information for making decisions for large‐scale agricultural infrastructure investment. Copyright © 2016 John Wiley & Sons, Ltd.


Estimating regional productivity based on demographic structure with artificial neural network
Jemyung Lee, Moon Seong Kang, Jeong Jae Lee, and Nam-su Jung
Springer Science and Business Media LLC