scholarly journals Application of Cloud Computing and Information Fusion Technology in Green Investment Evaluation System

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Pengwu Wang
Keyword(s):  
Cloud Computing ◽  
Quantitative Analysis ◽  
Information Fusion ◽  
Evaluation System ◽  
Qualitative And Quantitative Analysis ◽  
Fusion Technology ◽  
Energy Investment ◽  
Qualitative And Quantitative ◽  
Investment Evaluation ◽  
Green Investment

As an important part of the development of green economy, the green investment evaluation system provides a method to identify the performance of the investment environment and also guides the design of green investment plans. This article is aimed at analyzing the application of cloud computing and information fusion technology in the green investment evaluation system, using empirical analysis, qualitative and quantitative analysis, data integration, and distributed computing algorithms to carry out research. Data acquisition is mainly through cloud platform information fusion, to evaluate the investment subject, investment object, and investment vehicle of green investment. Qualitative and quantitative analysis is mainly through the definition of prerequisites by stipulating certain aspects of green, and the analysis of the country’s data changes in a certain time zone. Focus on the qualitative analysis and research on the green benefit attributes of a certain thing. In addition, by analyzing the influencing factors of the investment development status of green industries in different countries, such as green products, green projects, and green funds, it proves that the application of cloud computing and information fusion technology has a huge effect on the green investment evaluation system. Experimental data shows that in the past five years, investment in fixed assets in my country’s major industries accounted for the proportion of fixed asset investment in the whole society, and investment in environmental protection and energy supply industries has continued to rise. This upward trend is manifested in the fact that the amount of energy investment is increasing year by year. The development trend is the strongest during the development period and the entry period, and its data grows the most rapidly, while investment in the transportation industry has always been listed in the tables. For the first place in the industry, the highest was 20.84%.

What shall I compare thee to? Legal journals, impact, citation and peer rankings

Legal Studies ◽  
2021 ◽  
pp. 1-24
Author(s):  
Janja Hojnik
Keyword(s):  
Quantitative Analysis ◽  
Evaluation System ◽  
Web Of Science ◽  
Academic Publishing ◽  
Qualitative And Quantitative Analysis ◽  
High Quality ◽  
Legal Scholar ◽  
Legal Scholarship ◽  
Qualitative And Quantitative ◽  
The World

Abstract The pressure to distinguish high quality from lower quality law journals is intensifying. To contribute to this debate, citation-based and peer review-based ranking of law journals are paralleled in the paper, using qualitative and quantitative analysis. It is found that all law journals that are considered as journals of the highest quality by legal experts are also ranked highly in Web of Science (WoS) and that 40% of the law journals categorised as ‘internationally leading’ by the peers are not listed in WoS. This paper explores what the editors of some of the internationally leading law journals that are not listed in the WoS think about applying to be listed in it. The paper offers data to support the contention that legal scholarship is characterised by regionalism in academic publishing and citation patterns. It is submitted that there is no perfect indicator of quality, and that no evaluation system will ever convince every legal scholar in the world of its value. WoS could be adopted as a rigorous and internationally recognised index for law journals only if it were aligned more closely with the Leiden Manifesto.

MEMIKAT HATI WAJIB PAJAK SEHINGGA MEMILIKI WILLINGNESS TO COMPLY MELALUI PENYULUHAN PAJAK BERDASARKAN FOGG BEHAVIORAL MODEL

INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Statistical Data ◽  
Tax Compliance ◽  
Behavioral Model ◽  
Control Group ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Quasi Experimental ◽  
Experimental Process

Attitudes towards tax compliance (willingness to comply) Indonesian society is still low. Required an innovative tax dissemination to increase it. The purpose of this study was to determine whether the tax dissemination based on Fogg Behavioral Model (FBM) approach may increase wiliingness to comply. The FBM based tax dissemination asserts that for a person to perform a target behavior, which is a willingness to comply, he or she must be sufficiently motivated, have the ability to perform the behavior, and be trigerred, to perform the behavior. This research is a combination of qualitative and quantitative analysis of statistical data results of the questionnaire, interviews, and observations of the respondent and the experimental process of dissemination. The method used in this study is a quasi experimental with patterns of nonequivalent control group (pretest-post which is not equivalent). Based on the results of data analysis, interviews and observations of the respondent and the experiment, this research showed that theFBMbasedtaxdissemination hasapositiveimpactto willingnesstocomplyofthetaxpayers. 

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