An Environmental Kuznets Curve for N<sub>2</sub>O emissions in Germany: an ARDL approach

Zambrano-Monserrate, Manuel A.; Fernández, Mario Andrés

doi:10.1111/1477-8947.12122

Cited by 47 publications

(25 citation statements)

References 51 publications

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“…GDP is also one of the important determinants of environmental quality. Zambrano-Monserrate and Fernandez [46] observed that increased GDP due to the technique effect led to a quadratic association between income and N 2 O emissions by validating the EKC hypothesis. Moreover, Copeland and Taylor [47] and Chang [48] observed that if economic growth came through trade openness, then environmental quality deteriorated with economic growth, and eventually such scale effect of income was offset by the technological changes due to changes in preferences of the people [49].…”

Section: Literature Reviewmentioning

confidence: 70%

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

et al. 2021

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Widespread interference of human activities has resulted in major environmental problems, including pollution, global warming, land degradation, and biodiversity loss, directly affecting the sustainability and quality of the environment and ecosystem. The study aims to address the impact of the extraction of natural resources and globalization on the environmental quality in the South Asian countries for the period 1991–2018. A new methodology Dynamic Common Correlated Effects is used to deal with cross-sectional dependence. Most previous studies use only carbon dioxide emissions, which is an inadequate measure of environmental quality. Besides carbon dioxide emissions, we have used other greenhouse gas emissions like nitrous oxide and methane emissions with a new indicator, “ecological footprint”. Long-run estimation results indicate a positive and significant relationship of natural resources with all greenhouse gas emissions and a negative association with the ecological footprint. Globalization shows a negative association with carbon dioxide emissions and nitrous oxide emissions and a positive relationship with the ecological footprint. Institutional performance is negatively correlated with carbon dioxide emissions, methane emissions, and ecological footprint while positively associated with nitrous oxide emissions. The overall findings highlight the pertinence of reducing greenhouse gas emissions and ecological footprint, proper utilizing of natural resources, enhancing globalization, and improving institutional performance to ensure environmental sustainability.

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Section: Literature Reviewmentioning

confidence: 70%

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

et al. 2021

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“…Poverty and reduction of ecological assets are highly coupled in rural China (Cao et al, 2015). Some case studies showed that the economic development and environment follow the inverted U shape of the environmental Kuznets Curve (Hassan et al, 2015; Zambrano‐Monserrate and Fernandez, 2017; Wang and Shen, 2016; Mao et al, 2013; Li et al, 2016; Zhang et al, 2015a).…”

Section: Discussionmentioning

confidence: 99%

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

et al. 2019

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Poverty and environmental degradation is an interactive and complex issue, which needs to be addressed to pursue human sustainable development. The objective of this study was to create a theoretical framework for sustainable agriculture, considering the dynamic interaction between environment and multidimensional poverty. The model system used in this study was the region surrounding the Chinese Three Gorges reservoir. We constructed an evaluation index system to measure the dynamic interactions by employing Entropy-weight and analytic hierarchy process (AHP) methods. In this case study, we analyzed the dynamic interactive relationships between environmental degradation and rural poverty by adopting geographic information system (GIS) and comprehensive index evaluation, based on statistical (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) and remote sensing image data. We found that: (i) in the Three Gorges reservoir region (TGRR), a vicious cycle between poverty, environmental load, and livelihood is occurring; (ii) in areas stressed by environmental concerns the environmental load is the main stress factor, while in the areas stressed by poverty, livelihood is the main stress factor; and (iii) the coupling degrees between environmental degradation and poverty differ in different areas of the TGRR, and counties with adverse features have been spatially agglomerated over time; and the area with high coupling and high synergy accounts for the 38.1% of the total reservoir region. core Ideas• A coupling coordination model for the environment and rural poverty is built. • Both environment degradation and rural poverty in China's Three Gorges Reservoir Region have been deteriorated. • Coupling degrees differ observably in different areas of the Three Gorges Reservoir Region in rural China. • Main stress factors are environment load and livelihood.

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“…[54][55][56][57] The most widely used single indicator for environmental pollution is CO 2 emission. 58 As an alternative to CO 2 emission, a wide variety of single measure indicators have been used to represent environmental damage, such as nitrogen dioxide (NO 2 ), 59,60 sulfur dioxide (SO 2 ), [61][62][63] industrial waste, 64 water pollution, 65 threatened species, 66 and deforestation. 67 There are also studies that use several single variables to enhance the context of the research.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of ecological footprint in MINT countries

Doğan

Taşpınar

Gökmenoğlu

2019

Energy & Environment

205

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Environmental Kuznets curve literature mostly uses a single indicator as a measure for environmental degradation. However, each single variable captures only a part of the environmental problem, and a reduction in any single measure does not indicate that the environmental problem is diminishing in general. Our study is the first one which investigates the validity of the environmental Kuznets curve hypothesis for the Mexico, Indonesia, Nigeria, and Turkey (MINT) countries by employing the ecological footprint as the measure of environmental degradation. Autoregressive distributed lag results indicate that the environmental Kuznets curve hypothesis is valid for each of the MINT countries for the period of 1971-2013. The long-run coefficients of our augmented environmental Kuznets curve model show that fossil fuel energy consumption, exports, urbanization, and financial development are the most common causes of anthropogenic pressure on the environment. The effects of exports and imports are negative and positive on environmental degradation, respectively. The long-run coefficients of urbanization, financial development, and renewable energy consumption differ at certain levels for the sampled countries. The results of the analysis point to a number of different policy proposals for each country.

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An Environmental Kuznets Curve for N₂O emissions in Germany: an ARDL approach

Cited by 47 publications

References 51 publications

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

Determinants of ecological footprint in MINT countries

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An Environmental Kuznets Curve for N2O emissions in Germany: an ARDL approach

Cited by 47 publications

References 51 publications

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

Determinants of ecological footprint in MINT countries

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An Environmental Kuznets Curve for N₂O emissions in Germany: an ARDL approach