The impact of greenhouse gas emissions in the EU food chain: A quantitative and economic assessment using an environmentally extended input-output approach

Abstract This paper investigates the impact of aerosol forcing uncertainty on the robustness of estimates of the twentieth-century warming attributable to anthropogenic greenhouse gas emissions. Attribution analyses on three coupled climate models with very different sensitivities and aerosol forcing are carried out. The Third Hadley Centre Coupled Ocean–Atmosphere GCM (HadCM3), Parallel Climate Model (PCM), and GFDL R30 models all provide good simulations of twentieth-century global mean temperature changes when they include both anthropogenic and natural forcings. Such good agreement could result from a fortuitous cancellation of errors, for example, by balancing too much (or too little) greenhouse warming by too much (or too little) aerosol cooling. Despite a very large uncertainty for estimates of the possible range of sulfate aerosol forcing obtained from measurement campaigns, results show that the spatial and temporal nature of observed twentieth-century temperature change constrains the component of past warming attributable to anthropogenic greenhouse gases to be significantly greater (at the 5% level) than the observed warming over the twentieth century. The cooling effects of aerosols are detected in all three models. Both spatial and temporal aspects of observed temperature change are responsible for constraining the relative roles of greenhouse warming and sulfate cooling over the twentieth century. This is because there are distinctive temporal structures in differential warming rates between the hemispheres, between land and ocean, and between mid- and low latitudes. As a result, consistent estimates of warming attributable to greenhouse gas emissions are obtained from all three models, and predictions are relatively robust to the use of more or less sensitive models. The transient climate response following a 1% yr−1 increase in CO2 is estimated to lie between 2.2 and 4 K century−1 (5–95 percentiles).

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The Impact of Greenhouse Gas Emissions on Personal Well-Being: Evidence from a Panel of 58 Countries and Aggregate and Regional Country Samples

Journal of Happiness Studies ◽

10.1007/s10902-016-9809-y ◽

2016 ◽

Vol 19 (1) ◽

pp. 69-80 ◽

Cited By ~ 4

Author(s):

Nicholas Apergis

Keyword(s):

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Well Being ◽

Gas Emissions ◽

The Impact

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Projecting the Impact of Socioeconomic and Policy Factors on Greenhouse Gas Emissions and Carbon Sequestration in U.S. Forestry and Agriculture

Journal of Forest Economics ◽

10.1561/112.00000545 ◽

2022 ◽

Vol 37 ◽

Author(s):

Christopher M. Wade ◽

Justin S. Baker ◽

Jason P. H. Jones ◽

Kemen G. Austin ◽

Yongxia Cai ◽

...

Keyword(s):

Carbon Sequestration ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Gas Emissions ◽

The Impact

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The Impact of China's Trade Liberalisation on the Greenhouse Gas Emissions of WTO Countries

SSRN Electronic Journal ◽

10.2139/ssrn.3096444 ◽

2017 ◽

Author(s):

Clinton Levitt ◽

Morten Saaby Pedersen ◽

Anders Sorensen

Keyword(s):

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Trade Liberalisation ◽

Gas Emissions ◽

The Impact

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The impact of the art-ICA control technology on the performance, energy consumption and greenhouse gas emissions of full-scale wastewater treatment plants

Journal of Cleaner Production ◽

10.1016/j.jclepro.2018.12.229 ◽

2019 ◽

Vol 213 ◽

pp. 680-687 ◽

Cited By ~ 1

Author(s):

Anabela Vieira ◽

Ricardo Marques ◽

Ricardo Raposo ◽

Margarida Martins ◽

Rita Alves ◽

...

Keyword(s):

Wastewater Treatment ◽

Energy Consumption ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Wastewater Treatment Plants ◽

Full Scale ◽

Control Technology ◽

Gas Emissions ◽

The Impact

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Insights on the impact of telecommunication companies on the environment

Proceedings of the International Conference on Business Excellence ◽

10.2478/picbe-2020-0019 ◽

2020 ◽

Vol 14 (1) ◽

pp. 202-213

Author(s):

Ioana-Miruna Tătaru ◽

Elena Fleacă ◽

Bogdan Fleacă

Keyword(s):

Energy Consumption ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Pairwise Comparison ◽

Comparison Method ◽

Organizational Processes ◽

Gas Emissions ◽

Telecommunication Company ◽

Telecommunication Companies ◽

The Impact

AbstractTo perform their business operations, telecommunication companies need to consume energy. This paper aims to analyze and compare the energy consumption and their greenhouse gas emissions for there of the biggest telecommunication companies: Vodafone, Orange and Telekom. Although the scientific literature proposed some analysis on the environmental measures that the telecommunication companies have to take, there is a shortage of researchers focused on GRI reporting data and the pairwise comparison method. The authors compared these telecommunication companies’ emissions under the following criteria: energy consumption (GRI 302-1), scope 1 (GRI 305-1), scope 2 (GRI 305-2) and scope 3 (GRI 305-3) greenhouse gas emissions, reduction of emissions (GRI 305-5), using the pairwise comparison method. To reduce their emissions, companies developed a sustainability strategy. This paper will further emphasize what are the plans to reduce emissions for the company which, following the analysis, pollutes the most. To provide an overview of the future of the company which, by the analysis, pollutes the most, the authors have identified and analyzed what are the main actions that the company should take to reduce their impact on the environment. To do so, the authors firstly analyze the causes of the pollution produced by the telecommunication company using Ishikawa diagram. Then, it identifies what are the main organizational processes that can be improved using APQC standardization, to show that the improvement can be made if the organization adjusts their organizational processes. This paper is an enhancement to the studies form the field because it provides a comparative analysis on three of the most competitive telecommunication companies in the world, uses GRI criteria and pairwise comparison method and gives an overview on the next steps for the telecommunication company to reduce their greenhouse gas emissions.

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