THE IMPACT OF ENVIRONMENTAL TAX REFORM ON GREENHOUSE GAS EMISSIONS: EMPIRICAL EVIDENCE FROM EUROPEAN COUNTRIES

2017 ◽  
Vol 16 (12) ◽  
pp. 2843-2849 ◽  
Author(s):  
Mihaela Onofrei ◽  
Georgeta Vintila ◽  
Elena Doina Dascalu ◽  
Angela Roman ◽  
Bogdan-Narcis Firtescu
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Empirical Evidence ◽  
Tax Reform ◽  
European Countries ◽  
Environmental Tax ◽  
Environmental Tax Reform ◽  
Gas Emissions ◽  
The Impact

scholarly journals Assessing the Impact of Environmental Regulation on Livestock Manure Waste Recycling: Empirical Evidence from Households in China

2019 ◽  
Vol 11 (20) ◽  
pp. 5737
Author(s):  
Si ◽  
Pan ◽  
Yuan ◽  
Lu ◽  
Zhang
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Empirical Evidence ◽  
Environmental Regulation ◽  
Waste Recycling ◽  
Livestock Manure ◽  
Gas Emissions ◽  
Long Time ◽  
The Government ◽  
The Impact

Livestock manure waste (LMW) has turned into an important source of greenhouse gas emissions. Livestock manure waste recycling (LMWR) has great significance for reducing greenhouse gas emissions in the LMW management process. For a long time, the government has mainly adopted environmental regulation to accelerate LMWR, but the recycling degree is still low. The objective of this study was to assess the impact of environmental regulation on LMWR. Empirical evidence was obtained through methods of in-depth measures and questionnaire investigation from 465 households engaged in breeding pigs in Hebei, Henan, and Hubei, China. The double hurdle model was employed to empirically assess the impact of environmental regulation on household LMWR behavior, and the moderating effects of guiding regulation were further verified. The results were that (1) 62.30% of the households in the sample were willing to implement LMWR behavior, but the recycling degree was only 42.50% of the LMW emission amount. (2) Environmental regulation was found to positively impact household LMWR behavior, while the effects were mainly contributed by imperative and guiding regulation. (3) Guiding regulation was shown to positively moderate the influences of imperative and incentive regulation on household LMWR behavior. (4) The impact of environmental regulation on different scales of household LMWR behavior was found to be heterogeneous. Finally, some recommendations, such as improving subsidy standards, classifying to promote LMWR technology, as well as increasing the matched proportions of planting and breeding, were proposed.

HOW GREEN IS YOUR FOOTPRINT? THE IMPACT OF GREENHOUSE GAS EMISSIONS ON STRATEGIC PLANNING

2008 ◽  
Vol 2008 (6) ◽  
pp. 783-792 ◽  
Author(s):  
Patricia Scanlan ◽  
Holly Elmendorf ◽  
Hari Santha ◽  
James Rowan
Keyword(s):  
Strategic Planning ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
Green Is ◽  
The Impact

Observational Constraints on Past Attributable Warming and Predictions of Future Global Warming

2006 ◽  
Vol 19 (13) ◽  
pp. 3055-3069 ◽  
Author(s):  
Peter A. Stott ◽  
John F. B. Mitchell ◽  
Myles R. Allen ◽  
Thomas L. Delworth ◽  
Jonathan M. Gregory ◽  
...  
Keyword(s):  
Twentieth Century ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Temperature Change ◽  
Greenhouse Warming ◽  
Gas Emissions ◽  
Aerosol Forcing ◽  
Future Global Warming ◽  
Cooling Effects ◽  
The Impact

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).

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

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

scholarly journals Insights on the impact of telecommunication companies on the environment

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.

scholarly journals Perceptions of Food Retailers Regarding Climate Change and Greenhouse Gas Emissions

2021 ◽  
Vol 5 (4) ◽  
pp. 26-35
Author(s):  
Ayanda Pamella Deliwe ◽  
Shelley Beryl Beck ◽  
Elroy Eugene Smith
Keyword(s):  
Climate Change ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Harmful Effect ◽  
Retail Sector ◽  
Food Retail ◽  
Gas Emissions ◽  
Food Retailers ◽  
The Impact

Objective – This paper sets out to assess perceptions of food retailers regarding climate change, greenhouse gas emission and sustainability in the Nelson Mandela Bay region of South Africa. The primary objective of this study is to investigate the food retailers’ greenhouse gas emissions strategies. Climate change catastrophic potential and the harmful effect that it has had on the community and businesses has led to it being given attention from social media and in literature. Methodology/Technique – This paper covered a literature review that provided the theoretical framework. The empirical study that was carried out included self-administered questionnaires which were distributed to 120 food retailers who were selected from the population using convenience sampling. Findings - The results revealed that most of the respondents were neutral towards the impact of operational factors regarding GHG emission in the food retail sector. Novelty - There is limited research that has been conducted among food retailers from the designated population. The study provided guidelines that will be of assistance to food retailers when dealing with climate change and greenhouse gas emissions impact in the food retail sector. Type of Paper: Empirical. JEL Classification: L66, Q54, Q59. Keywords: Climate Change; Food Retailers; Greenhouse Gas Emissions; Perceptions; Strategies; Sustainability Reference to this paper should be made as follows: Deliwe, A.P; Beck, S.B; Smith, E.E. (2021). Perceptions of Food Retailers Regarding Climate Change and Greenhouse Gas Emissions, Journal of Business and Economics Review, 5(4) 26–35. https://doi.org/10.35609/jber.2021.5.4(3)

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