Regional model of EKC for air pollution: Evidence from the Republic of Korea

Park, SoonAe; Lee, Young-Mi

doi:10.1016/j.enpol.2011.06.028

Cited by 104 publications

(63 citation statements)

References 41 publications

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“…However, inconsistent conclusions were also drawn from some recent studies. For example, Park and Lee [49] studied the relationship between economic development and air pollution (NO, SO 2 and NO 2 ) at the regional level in Korea and argued that the shape of the EKC depended on the type of pollutants. Zhu et al [33] also concluded that an inverted U-shaped relationship between urbanisation and CO 2 emissions in 20 emerging countries was not supported.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China

2015

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a b s t r a c tElucidating the complex mechanism of the impact of demographic changes, economic growth, and technological advance impacts on energy consumption and pollutant emissions is fundamentally necessary to inform effective strategies on energy saving and emission reduction in China. Here, based on a balanced provincial panel dataset in China over the period 1990-2012, we used an extended STIRPAT model to investigate the effects of human activity on energy consumption and three types of industrial pollutant emissions (exhaust gases, waste water and solid waste) at the national and regional levels and tested the environmental Kuznets curve (EKC) hypothesis. Empirical results show that a higher population density would result in a decrease in energy consumption in China as a whole and in its eastern, central and western regions, but the extent of its effect on the environment depends on the type of pollutants. Higher population density increased wastewater discharge but decreased solid waste production in China and its three regions. The effect of economic development on the environment was heterogeneous across the regions. The proportion of industrial output had a significant and positive influence on energy consumption and pollutant emissions in China and its three regions. Higher industrial energy intensity resulted in higher levels of pollutant emissions. No strong evidence supporting the EKC hypothesis for the three industrial wastes in China was found. Our findings further demonstrated that the impact of population, income and technology on the environment varies at different levels of development. Because of the regional disparities in anthropogenic impact on the environment, formulating specific region-oriented energy saving and emission reduction strategies may provide a more practical and effective approach to achieving sustainable development in China.

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Section: Literature Reviewmentioning

confidence: 99%

Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China

2015

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“…In particular, Deng et al (2012) reported that the long-term visibility in southeastern China declined at a rate of 3.1 km/10-y over the period of 1973-2010. The decreasing trend in annual average visibility in the three urban areas (Seoul, Busan, and Ulsan) was primarily attributed to the gradual increase in the number of motor vehicles, which are known to be a major emission source of air pollutants in most cities in Korea (Park and Lee, 2011). For example, the number of motor vehicles registered in Seoul, increased gradually from 2.6 to 3.0 million over the nine-year study period.…”

Section: Trends In Annual-average Visibilitymentioning

confidence: 93%

Long-Term Trends in Visibility and Its Relationship with Mortality, Air-Quality Index, and Meteorological Factors in Selected Areas of Korea

Lee

2015

Aerosol Air Qual. Res.

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We investigated temporal trends in atmospheric visibility as well as their relationship to non-accident-related daily mortality, the Comprehensive Air-quality Index (CAI) in Korea, and selected meteorological factors in four cities (Seoul, Busan, Daegu, and Ulsan) and one remote island (Ullungdo) for the period 2001-2009. According to the mean values, Seoul exhibited the lowest visibility (12.2 km), followed by Ullungdo (12.6 km), Ulsan (14.2 km), Daegu (14.7 km), and Busan (17.3 km). Conversely, Ullungdo had the lowest CAI value (82.4) and no respiratory mortality (RM) occurrences at all, and Seoul had both the highest mean CAI value (122) and the highest occurrence of daily RM (5.3). There were negative correlations between visibility and two meteorological parameters (relative humidity and ambient temperature) in all five areas, whereas there were generally positive correlations between visibility and the other two meteorological parameters (precipitation and wind speed). For some lag periods, the mortality in the cities was significantly correlated with visibility and the CAI, whereas mortality in Ullungdo was not. Busan had the highest excess risk for non-accidentrelated daily mortality, followed by Daegu, Seoul, and Ulsan.

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“…Kaika and Zervas (2013), Zeshan andAhmed (2013), Mills Busa (2013) Park and Lee (2011), Diao et al (2009), Ozturk and Acaravci (2010), Shahbaz et al (2014), Saboori et al (2012), Galeotti(2007), He and Wang (2012), Fosten et al (2012). The implications of these studies indicate that an additional economic growth improves the environmental quality.…”

Section: Introductionmentioning

confidence: 89%

Dynamic impact of household consumption on its CO2 emissions in Malaysia

Sohag

Begum

Abdullah

2014

Environ Dev Sustain

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This article aims to measure the dynamic impact of household consumption (final household consumption expenditure, LHC) on CO 2 emission from household's energy consumption in Malaysia from 1971 to 2010. The estimation of autoregressive distributed lag (ARDL) bounds test confirms a non-monotonic relationship between LHC and residential CO 2 emission. In the long run, there is a positive relationship between LHC and CO 2 emission as well as a negative relationship between quadratic forms of LHC and CO 2 emission which indicates the existence of an inverted U-shaped relationship between these two variables. The analysis also found a similar relationship in both the short and long run. To confirm the non-monotonous relationship, the U test of Sasabuchi-LindMehlum (2010) approach has followed to obtain the sufficient conditions for the existence of inverted U relationship. Moreover, the U test of Sasabuchi-Lind-Mehlum (2010) found that CO 2 emission increases with increasing LHC up to 6.5 units, but it declines with an additional increase of LHC which is also found by the ARDL model. However, the existence of environmental Kuznets curve implies that in the long run, household CO 2 emission declines with the additional increase of household consumption in the Malaysian economy.

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Regional model of EKC for air pollution: Evidence from the Republic of Korea

Cited by 104 publications

References 41 publications

Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China

Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China

Long-Term Trends in Visibility and Its Relationship with Mortality, Air-Quality Index, and Meteorological Factors in Selected Areas of Korea

Dynamic impact of household consumption on its CO2 emissions in Malaysia

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