The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence

Soberón, Alexandra; D’Hers, Irene

doi:10.3390/jrfm13110292

Cited by 13 publications

(3 citation statements)

References 52 publications

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“…Nowadays, the inverted U-shaped EKC hypothesis has become the most debated research topic for both environmental economists and young researchers (Kasioumi and Stengos 2020;Kalaitzidakis et al 2018;Soberon and D'Hers 2020;Kang et al 2016;Aruga 2017Aruga , 2019. In an article, Lorente and Álvarez-Herranz (2016) further explored the topic and introduced the N-shaped hypothesis, including the third stage, where environmental degradation exacerbates as income continues to grow.…”

Section: Introductionmentioning

confidence: 99%

Environmental Kuznets Curve Hypothesis on CO2 Emissions: Evidence for China

Zhang

2021

JRFM

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China is the largest CO2 emitter in the world, and it shared 28% of the global CO2 emissions in 2017. According to the Paris Agreement, it is estimated that China’s CO2 emissions will reach its peak by 2030. However, whether or not the CO2 emissions in China will rise again from its peak is still unknown. If the emission level continues to increase, the Chinese policymakers might have to introduce a severe CO2 reduction policy. The aim of this paper is to conduct an empirical analysis on the long-standing relationship between CO2 emissions and income while controlling energy consumption, trade openness, and urbanization. The autoregressive distributed lag (ARDL) model and the bounds test were adopted in evaluating the validity of the Environmental Kuznets Curve (EKC) hypothesis. The quantile regression was also used as an inference approach. The study reveals two major findings: first, instead of the conventional U-shaped EKC hypothesis, there is the N-shaped relationship between CO2 emissions and real gross domestic product (GDP) per capita in the long run. Second, a positive effect of energy consumption and a negative effect of urbanization on CO2 emissions, in the long run, are also estimated. Quantitatively, if energy consumption rises by 1%, then CO2 emissions will increase by 0.9% in the long run. Therefore, the findings suggest that a breakthrough, in terms of policymaking and energy innovation under China’s specific socioeconomic and political circumstances, are required for future decades.

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Section: Introductionmentioning

confidence: 99%

Environmental Kuznets Curve Hypothesis on CO2 Emissions: Evidence for China

Zhang

2021

JRFM

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“…The studies of [47,9,58,17,31,11] supported the evidence of the EKC hypothesis, while the studies of [6,36,35,40] are of contrasting views and mixed results were recorded in the studies of [10,19,26,20,21,33,34,39,49].…”

Section: Empirical Literaturementioning

confidence: 71%

Economic Growth and Environmental Sustainability: Empirical Evidence from Selected African Countries

Samuel,

Adegbola,

Shittu

et al. 2024

PoS

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Environmental deterioration, driven by human activities, poses a critical global challenge. Its far-reaching consequences are a threat to the planet and future generations. Economic growth brought about by rapid industrialisation, increased economic activities, and globalisation has not only improved gross domestic product (GDP) and material well-being globally but consequently increased the emission of greenhouse gases, which in no doubt has far-reaching catastrophic impacts on society in the short-term and long term. Climate change, deforestation, pollution, natural resource depletion, food shortage and loss of biodiversity are interconnected problems of environmental deterioration. Climate change harms ecosystems and food security, increases global inequality, and brings about more frequent and severe weather events -deforestation results in habitat loss -destabilising ecosystems and reducing biodiversity. Pollution from industries, agricultural activities, and urban sources endanger ecosystems and harm human health. Like never before, harmonising the concepts of people (society), profit (economy) and the planet (environment) to achieve a sustainable solution has been more crucial.

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“…Using both OECD and non-OECD countries may allow to draw conclusions and compare results for both developed and developing countries. As observed in Soberon and D'Hers (2020), the data come from two main sources. En- The data for all other variables (population, affluence, and technology) are obtained from the World Development Indicators (WDI) of the World Bank.…”

Section: Datamentioning

confidence: 99%

Bootstrap inference for panel data quantile regression

Galvao¹,

Parker²,

Zhang³

2021

Preprint

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This paper develops bootstrap methods for practical statistical inference in panel data quantile regression models with fixed effects. We consider random-weighted bootstrap resampling and formally establish its validity for asymptotic inference. The bootstrap algorithm is simple to implement in practice by using a weighted quantile regression estimation for fixed effects panel data. We provide results under conditions that allow for temporal dependence of observations within individuals, thus encompassing a large class of possible empirical applications. Monte Carlo simulations provide numerical evidence the proposed bootstrap methods have correct finite sample properties. Finally, we provide an empirical illustration using the environmental Kuznets curve.

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The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence

Cited by 13 publications

References 52 publications

Environmental Kuznets Curve Hypothesis on CO2 Emissions: Evidence for China

Environmental Kuznets Curve Hypothesis on CO2 Emissions: Evidence for China

Economic Growth and Environmental Sustainability: Empirical Evidence from Selected African Countries

Bootstrap inference for panel data quantile regression

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