What drives material use in the EU? Evidence from club convergence and decomposition analysis on domestic material consumption and material footprint

Karakaya, Etem; Sarı, Erkam; Alataş, Sedat

doi:10.1016/j.resourpol.2020.101904

Cited by 49 publications

(13 citation statements)

References 48 publications

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“…The push for better resource quality will generate new goods, markets, and job prospects. Karakaya et al (2020) state that "there are many techniques that are deemed effective in increasing material quality, i.e., using fewer for material design, repair, reuse, and recycling ".…”

Section: Renewable Energy Economic Growth and Environmental Qualitymentioning

confidence: 99%

“…However, various studies have taken various environmental indicators like carbon dioxide emissions and ecological footprint as a proxy for measuring environmental quality. This paper adopts material footprint(MF) as recommended in a previous research paper (Giljum et al, 2015;Berrill et al, 2020;Ansari et al, 2020b;Karakaya et al, 2020). In light of the above factors, the goal is to explore the determinants of MF in five BRICS countries by using advanced panel techniques, including renewable energy, urbanization, and natural resources.…”

Section: Natural Resources Human Capital Urbanization and Environmmentioning

confidence: 99%

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Determinants of material footprint in BRICS countries: an empirical analysis

Sahoo

Saini

Villanthenkodath

2021

Environ Sci Pollut Res

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This paper explores the relationship between renewable energy consumption, urbanization, human capital, trade, natural resources, and material footprint for BRICS countries from 1990 to 2016. We apply the cross-sectional dependency test to check the correlation among the crosssection. Then, we use the second-generation panel test like CADF and CIPS to check the stationary in the series. After that, we go for the panel cointegration test, i.e., Pedroni and Westerlund panel cointegration, to know the long-run relationship of the variable. The test results reject the null hypothesis of no cointegration among the variables and accept cointegration. The long-run results indicate that economic growth, natural resources, renewable energy, and urbanization have reduced the environmental quality for BRICS countries in case of material footprint employed to measure environmental degradation. However, foreign trade, human capital improves environmental quality. Based on the empirical results, the study recommended some important policy suggestions to achieve sustainable development in BRICS countries.

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Section: Renewable Energy Economic Growth and Environmental Qualitymentioning

confidence: 99%

Section: Natural Resources Human Capital Urbanization and Environmmentioning

confidence: 99%

Determinants of material footprint in BRICS countries: an empirical analysis

Sahoo

Saini

Villanthenkodath

2021

Environ Sci Pollut Res

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“…These studies vary in terms of the variables they examine, ranging from ecological footprints, commodity prices, public spending on health, defense, and education, to fiscal and monetary variables, foreign trade, tourism, and energy consumption (19,30,31,(34)(35)(36)(37). However, studies focusing on vaccination convergence are almost non-existent to the best of our findings, although the literature is replete with healthcare expenditure convergence which forms the basis for the contribution of this paper.…”

Section: Related Literaturementioning

confidence: 87%

Testing the Club Convergence Dynamics of the COVID-19 Vaccination Rates Across the OECD Countries

Xu¹,

Lau²,

Zhang³

et al. 2022

Front. Public Health

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Vaccines are essential to create a more resilient economic growth model. Ending the COVID-19 pandemic requires a more coordinated, effective, and equitable distribution of vaccines across the countries. Therefore, governments are in a race to increase the vaccination rates of the population. Given this backdrop, this paper focuses on the daily vaccinations per million data from March 1, 2021, to October 15, 2021, in 37 Organization for Economic Co-operation and Development (OECD) countries and examines the stochastic properties of the vaccination rates. We adopt the club convergence econometric methodology to investigate the club convergence paths of COVID-19 vaccination rates in OECD regions. The results indicate a significant convergence of the vaccination rates in seven clubs across 30 OECD countries. Moreover, there are seven OECD countries demonstrate non-convergent characteristics, which raises questions about ineffective vaccine balance. In addition, the paper also discusses the potential implications for the post-COVID-19 era.

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“…What factors influence the evolutionary behavior and transitional heterogeneity of carbon emissions? Understanding carbon emissions convergence patterns and the determinants of the convergence clusters identified is crucial for policymakers aiming to develop appropriate environmental policies [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Club Convergence of Economies’ Per Capita Carbon Emissions: Evidence from Countries That Proposed Carbon Neutrality

Yang

Yuan

2022

IJERPH

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To achieve the long-term goals outlined in the Paris Agreement that address climate change, many countries have committed to carbon neutrality targets. The study of the characteristics and emissions trends of these economies is essential for the realistic formulation of accurate corresponding carbon neutral policies. In this study, we investigate the convergence characteristics of per capita carbon emissions (PCCEs) in 121 countries with carbon neutrality targets from 1990 to 2019 using a nonlinear time-varying factor model-based club convergence analysis, followed by an ordered logit model to explore the mechanism of convergence club formation. The results reveal three relevant findings. (1) Three convergence clubs for the PCCEs of countries with proposed carbon neutrality targets were evident, and the PCCEs of different convergence clubs converged in multiple steady-state levels along differing transition paths. (2) After the Kyoto Protocol came into effect, some developed countries were moved to the club with lower emissions levels, whereas some developing countries displayed elevated emissions, converging with the higher-level club. (3) It was shown that countries with higher initial emissions, energy intensity, industrial structure, and economic development levels are more likely to converge with higher-PCCEs clubs, whereas countries with higher urbanization levels are more likely to converge in clubs with lower PCCEs.

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What drives material use in the EU? Evidence from club convergence and decomposition analysis on domestic material consumption and material footprint

Cited by 49 publications

References 48 publications

Determinants of material footprint in BRICS countries: an empirical analysis

Determinants of material footprint in BRICS countries: an empirical analysis

Testing the Club Convergence Dynamics of the COVID-19 Vaccination Rates Across the OECD Countries

Club Convergence of Economies’ Per Capita Carbon Emissions: Evidence from Countries That Proposed Carbon Neutrality

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