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Re-visiting environmental Kuznets curve: role of scale, composite, and technology factors in OECD countries

pmid: 31338763
This study assesses environmental Kuznets curve (EKC) hypothesis corroborating the role of scale, composite, and technology effects in OECD countries. To this end, we analyze the panel time series data from 1980 to 2017 using cross-sectional-autoregressive distributed lags (CS-ARDL). We document that economic growth and carbon emissions follow a U-shaped relationship, contrary to the EKC hypothesis, which our analysis attributes to the substantial contributions of the industrial, manufacturing, and service sectors to GDP. Technological progress has a somewhat marginal impact in reducing carbon emissions through energy efficiency but is unable to validate the existence of EKC hypothesis.
- King Abdulaziz University Saudi Arabia
- Ural Federal University Russian Federation
- Financial University Russian Federation
- Centre for Renewable Energy and Power Systems Australia
- Centre for Renewable Energy and Power Systems Australia
Technology, Carbon Dioxide, Carbon, Cross-Sectional Studies, Industry, Economic Development, Organisation for Economic Co-Operation and Development
Technology, Carbon Dioxide, Carbon, Cross-Sectional Studies, Industry, Economic Development, Organisation for Economic Co-Operation and Development
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).76 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
