The Impact of Population Aging on Energy Use and Carbon Emissions in Korea

Kim, Dong Koo; Park, Sunyoung

doi:10.17330/joep.13.2.201406.99

Cited by 3 publications

(6 citation statements)

References 3 publications

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“…Aging increases energy demand [6,7,9,11,12,15,36] Micro cross-section data [8,10,13,31,32] Macro panel data Aging decreases energy demand [16,19,33] Micro cross-section data [17,18,20] Macro & regional panel data Aging effect is mixed [34] Micro cross-section data [30] Macro panel data Much literature investigates the role of age distribution on electricity demand, but little consensus has been reached since income trends, consumer preferences, and culture are different in every society. One strand of articles insists that elderly people consume more electricity [6][7][8][9][10][11][12][13]15,31,32,36]. These articles suggest three reasons for their conclusions.…”

Section: Effect Of Population Age Distribution On Energy Demand Literatures Datamentioning

confidence: 99%

“…Ref. [6,7,9,11,12,15,36] conduct cross-sectional analyses using micro-survey data, and they suggest that, in general, energy consumption increases with age. Ref.…”

Section: Effect Of Population Age Distribution On Energy Demand Literatures Datamentioning

confidence: 99%

“…Additionally, they are more sensitive to changes in weather. As such, an increase in the older population can raise electricity consumption [6][7][8][9][10][11][12][13][14][15]. However, an increase in the older population may have the opposite effect on electricity consumption.…”

Section: Introductionmentioning

confidence: 99%

“…In many energy policy analyses, demographic factors are not generally considered in the models. A few articles include demographic factors in analyzing energy consumption, but they only consider how they indirectly affect energy consumption through economic channels [9,17,22]. Population aging may trigger consumption switching, which diminishes GHG reduction efforts [23].…”

Section: Introductionmentioning

confidence: 99%

“…Only recently has attention been paid to the role of population age distribution on electricity demand. In addition, most of the previous literature uses aggregate-level data, including for demographic factors such as aging index and aggregate age-group proportion [8,10,18,20,[30][31][32], or household-level survey data for very short periods [7,9,11,12,15,16,19,33,34]. It is clear that each type of data has pros and cons.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function

Jang²,

Kim

2020

Energies

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Mounting evidence shows that economic and climate variables such as income, energy price, and temperature impact energy demand. We examined another variable, population age distribution, which has rarely been considered, that could affect energy demand. We employ population polynomials to account for the impact of population age distribution on residential electricity consumption in Korea. Using panel data from 1990 to 2016, we verify that populations aged 20~44, and those over 60, raise residential electricity consumption. We additionally evaluate the impact of population age distribution in forecasting future electricity consumption and conclude that age distribution effects dominate total population growth effects.

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Section: Effect Of Population Age Distribution On Energy Demand Literatures Datamentioning

confidence: 99%

“…Ref. [6,7,9,11,12,15,36] conduct cross-sectional analyses using micro-survey data, and they suggest that, in general, energy consumption increases with age. Ref.…”

Section: Effect Of Population Age Distribution On Energy Demand Literatures Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function

Jang²,

Kim

2020

Energies

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The role of income level and institutional quality in the non‐renewable energy consumption and life expectancy nexus: evidence from selected oil‐producing economies in Africa

Ibrahim

Ajide

2021

OPEC Energy Review

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This study examines the functional relationship between non‐renewable energy (NRE) and life expectancy in four selected oil‐producing African countries (Algeria, Egypt, Libya and Nigeria) from 1990 to 2017. The role of income level and institutional quality (captured by control of corruption and regulatory quality) is evaluated to ascertaining the moderating or exacerbating effects of NRE (measured by natural gas, fuel and coal) on life expectancy. The empirical analyses are anchored on a set of preliminary tests consisting of cross‐sectional dependence test, panel unit root tests and co‐integration test, respectively. In the final analysis, the fully modified OLS panel method is engaged for model estimation. The empirical results reveal the negative effect of NRE on life expectancy both in models. Besides, the positive effects of income level are helpful in subduing the negative impacts of NRE on life expectancy while that of institutional quality further exacerbates it. The impacts of renewable energy and carbon emissions on life expectancy are recorded in a reverse direction. Relevant policy implications are advanced in the light of these emanating outcomes.

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Is an Aging Population Good or Bad for the Environment? Panel Evidence From 25 Oecd Countries

Kim¹,

Baek²

2022

Singapore Econ. Rev.

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Although CO2 emissions are purely global externalities and unlikely to be addressed by individual countries, empirical attention has typically been on the national level as national efforts have come in to plug the gap. The contribution of this study is therefore to investigate the effect of population aging on CO2 emissions, controlling for income and fossil fuel energy consumption, using panel data of 25 OECD countries during 1980–2015. After applying the panel cointegration approach such as fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS), we discover that population aging appears to reduce CO2 emissions, ceteris paribus. We also confirm the existence of the environmental Kuznets curve (EKC) relationship with an inverted-U curve, where CO2 emissions increase with income level until it reaches the estimated turning point and then starts to turn down. Other evidence shows that fossil fuel energy consumption increases CO2 emissions, other things equal. We believe that these findings present sustainable policy directions that may help solve the problem of population aging our world is dealing with today.

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The Impact of Population Aging on Energy Use and Carbon Emissions in Korea

Cited by 3 publications

References 3 publications

How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function

How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function

The role of income level and institutional quality in the non‐renewable energy consumption and life expectancy nexus: evidence from selected oil‐producing economies in Africa

Is an Aging Population Good or Bad for the Environment? Panel Evidence From 25 Oecd Countries

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