scholarly journals Determining end user computing device Scope 2 GHG emissions with accurate use phase energy consumption measurement

2020 ◽  
Vol 175 ◽  
pp. 484-491
Author(s):  
Justin Sutton-Parker
Keyword(s):  
Energy Consumption ◽  
Ghg Emissions ◽  
End User ◽  
Computing Device ◽  
Use Phase ◽  
End User Computing

Analisis Tingkat Kepuasan Pengguna Aplikasi UG In Your Hand Dengan Metode End User Computing Satisfaction (EUCS)

ICIT Journal ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 213-226
Author(s):  
Eka Fitri Rahayu
Keyword(s):  
Ease Of Use ◽  
End User ◽  
End User Computing

Informasi sangat dibutuhkan dalam pengambilan keputusan. Sistem informasi yang efektif adalah sistem informasi yang harus mampu memberikan kepuasan kepada para penggunanya. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh model End User Computing Satisfaction (EUCS) dengan Instrumen Accuracy, Content, Format, Timeliness dan Ease of Use terhadap kepuasan pengguna sistem UG In Your Hand. Data yang digunakan sebanyak 96 responden yang diperoleh melalui kuesioner online yang dibagikan kepada Mahasiswa. Metode penelitian menggunakan model Regresi Linier Berganda. Hasil penelitian menunjukkan bahwa Instrumen Ease of Use dan Timeliness mempengaruhi kepuasan pengguna sistem, selain itu Instrumen Content, Accuracy dan Format tidak mempengaruhi kepuasan pengguna sistem UG In Your Hand.   Kata Kunci : Kepuasan Pengguna, UG In Your Hand, Metode EUCS

PENGARUH PEMANFAATAN TEKNOLOGI INFORMASI TERHADAP KEPUASAN END USER COMPUTING DENGAN KETIDAKPASTIAN TUGAS SEBAGAI VARIABEL MODERATING

2013 ◽  
Author(s):  
Herawati M
Keyword(s):  
Information Technology ◽  
Primary Data ◽  
End User ◽  
Moderating Variables ◽  
The Third ◽  
Use Of Technology ◽  
Task Uncertainty ◽  
Independent Variable ◽  
The City ◽  
End User Computing

This study aims to use information technology, uncertainty or moderation duties and interactions between task uncertainty with the use of information technology to end user computing satisfaction. In this study used 70 respondents who actively use computers and working with several companies banking on the city of Padang. The data used are the primary data obtained through questionnaires. The study used three types of variables, the first is the independent variable, namely the utilization of information technology, both moderating variables, namely the uncertainty of the task, the third is the dependent variable is satisfaction of end user computing. The stages of hypothesis testing is done by using a regression model of moderating and statistical t-test. Based on the results of testing the first hypothesis (HI) was found to significantly influence the utilization of information technology to the satisfaction of end user computing. The second hypothesis (H2) testing results found that task uncertainty did not significantly influence the end user computing satisfaction. The third hypothesis (H3) testing found that the interaction or moderation between the use of technology with task uncertainty no significant effect on end user computing satisfaction.

Comparison of energy consumption and GHG emissions of open field and greenhouse strawberry production

2014 ◽  
Vol 29 ◽  
pp. 316-324 ◽  
Author(s):  
Benyamin Khoshnevisan ◽  
Hanifreza Motamed Shariati ◽  
Shahin Rafiee ◽  
Hossein Mousazadeh
Keyword(s):  
Energy Consumption ◽  
Open Field ◽  
Ghg Emissions

scholarly journals Technowomen: Women’s Autonomy and Its Impact on Environmental Quality

2021 ◽  
Vol 13 (4) ◽  
pp. 1611
Author(s):  
Saima Mujeed ◽  
Shuangyan Li ◽  
Musarrat Jabeen ◽  
Abdelmohsen A. Nassani ◽  
Sameh E. Askar ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Quality ◽  
Ghg Emissions ◽  
Renewable Energy Consumption ◽  
Women’S Autonomy ◽  
Women's Autonomy ◽  
Role Of Women

The role of women in economic development and the global environment is vital for progressing them towards the United Nations sustainable development goal (SDG-5) that emphasized the need to empower women in every walk of life. The study examines women’s autonomy in the sustainable development agenda under China’s open innovation system from 1975 to 2019. The study employed an autoregressive distributed lag (ARDL) model, vector autoregressive (VAR) Granger causality, and innovation accounting matrix to estimate parameters. The existing data are summarized and collated in the context of China to explain as a correlational study. The results show that women’s autonomy moderated with technology spills over to decrease greenhouse gas (GHG) emissions and substantiate the hump-shaped relationship between them. The increased spending on research and development (R&D) activities, patent publications, and renewable energy consumption empowers women to be equipped with the latest sustainable technologies to improve environmental quality. The pollution haven hypothesis verifies a given country, where trade liberalization policies tend to increase polluting industries to set up their plants that engaged in dirty production that exacerbate GHG emissions. The causality estimates confirmed that technological innovations and renewable energy consumption leads to women’s autonomy. In contrast, females’ share in the labor force participation rate leads to an increase in renewable energy consumption. Thus, it is evident that there is a positive role of women in the country’s sustainable development.

scholarly journals The Relationship between Economic Growth and Pollution in Some New European Union Member States: A Dynamic Panel ARDL Approach

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Ghg Emissions ◽  
Kuznets Curve ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Domestic Credit ◽  
The Impact ◽  
The Relationship

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

ACHIEVING WORLD-CLASS END-USER COMPUTING

1993 ◽  
Vol 10 (4) ◽  
pp. 7-12 ◽  
Author(s):  
John P. Halloran
Keyword(s):  
End User ◽  
World Class ◽  
End User Computing

scholarly journals Assessment of the Dependence of GHG Emissions on the Support and Taxes in the EU Countries

2021 ◽  
Vol 13 (14) ◽  
pp. 7650
Author(s):  
Astrida Miceikienė ◽  
Kristina Gesevičienė ◽  
Daiva Rimkuvienė
Keyword(s):  
Energy Consumption ◽  
Empirical Study ◽  
Ghg Emissions ◽  
Gdp Per Capita ◽  
Environmental Taxes ◽  
Environmental Support ◽  
Eu Countries ◽  
Support Measures ◽  
Per Capita ◽  
The Eu

The reduction of GHG emissions is one of the priorities of the EU countries. The majority of studies show that financial support and environmental taxes are one of the most effective measures for the mitigation of the negative consequences of climate change. The EU countries employ different environmental support measures and environmental taxes to reduce GHG emissions. There is a shortage of new studies on these measures. The aim of the present study is to compare the effectiveness of the environmental support measures of the EU countries with the effectiveness of environmental taxes in relation to the reduction of GHG emissions. This study is characterized by the broad scope of its data analysis and its systematic approach to the EU’s environmental policy measures. An empirical study was performed for the EU countries with the aim of addressing this research problem and substantiating theoretical insights. A total of 27 EU member states from 2009 to 2018 were selected as research samples. The research is based on a cause-and-effect relationship, where the factors affecting environmental pollution (environmental taxes and subsidies) are the cause, and GHG emissions are the effect. Statistical research methods were used in the empirical study: descriptive statistics, the Shapiro–Wilk test, one-way analysis of variance (ANOVA), simple regression and cluster analysis. The results show that the older member countries of the EU, which had directed the financial measures of environmental policy towards a reduction in energy consumption, managed to achieve a greater reduction in GHG emissions compared to the countries which had not applied those measures. The Central and Eastern European countries are characterized by lower environmental taxes and lower expenditure allocated to environmental protection. The countries with a higher GDP per capita have greater GHG emissions that the countries with lower GDP per capita. This is associated with greater consumption, waste, and energy consumption. The study conducted gives rise to a discussion regarding data sufficiency in the assessment and forecasting of GHG emissions and their environmental consequences.

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