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Keywords = Herfindahl-Hirshman Index (HHI)

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14 pages, 1208 KB  
Article
Measuring Terminology Consistency in Translated Corpora: Implementation of the Herfindahl-Hirshman Index
by Angelina Gašpar, Sanja Seljan and Vlasta Kučiš
Information 2022, 13(2), 43; https://doi.org/10.3390/info13020043 - 18 Jan 2022
Cited by 5 | Viewed by 6223
Abstract
Consistent terminology can positively influence communication, information transfer, and proper understanding. In multilingual written communication processes, challenges are augmented due to translation variants. The main aim of this study was to implement the Herfindahl-Hirshman Index (HHI) for the assessment of translated terminology in [...] Read more.
Consistent terminology can positively influence communication, information transfer, and proper understanding. In multilingual written communication processes, challenges are augmented due to translation variants. The main aim of this study was to implement the Herfindahl-Hirshman Index (HHI) for the assessment of translated terminology in parallel corpora for the evaluation of translated terminology. This research was conducted on three types of legal domain subcorpora, dating from different periods: the Croatian-English parallel corpus (1991–2009), Latin-English and Latin-Croatian versions of the Code of Canon Law (1983), and English and Croatian versions of the EU legislation (2013). After the terminology extraction process, validation of term candidates was performed, followed by an evaluation. Terminology consistency was measured using the HHI—a commonly accepted measurement of market concentration. Results show that the HHI can be used for measuring terminology consistency to improve information transfer and message understanding. In translation settings, the process shows the need for quality management solutions. Full article
(This article belongs to the Special Issue Machine Translation for Conquering Language Barriers)
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12 pages, 698 KB  
Article
Export Diversification and Ecological Footprint: A Comparative Study on EKC Theory among Korea, Japan, and China
by Hongbo Liu, Hanho Kim, Shuanglu Liang and Oh-Sang Kwon
Sustainability 2018, 10(10), 3657; https://doi.org/10.3390/su10103657 - 12 Oct 2018
Cited by 95 | Viewed by 7437
Abstract
This study examines the Environmental Kuznets Curve (EKC) hypothesis by adopting a country’s ecological footprint as an indicator of environmental degradation in three East Asian countries: Japan, Korea, and China. During the development process, countries intend to balance between stabilizing export demand and [...] Read more.
This study examines the Environmental Kuznets Curve (EKC) hypothesis by adopting a country’s ecological footprint as an indicator of environmental degradation in three East Asian countries: Japan, Korea, and China. During the development process, countries intend to balance between stabilizing export demand and maintaining sustainable economic improvement in the context of deteriorating global warming and climate change. The Environmental Kuznets Curve (henceforth, EKC) was originally developed to estimate the correlation between environment condition and economic development. In this paper, we started from the EKC model and adopted an Error Correction Methodology (henceforth, ECM) to estimate the EKC relationships in Japan, Korea (two developed countries), and China (a developing country) over the period of 1990 to 2013. Besides this, instead of only using Gross Domestic Product (henceforth, GDP), two subdivisions of trade diversification—export product diversification and export market diversification—are introduced as proxy variables for economic development in rectification of the EKC. The results demonstrate that both Korea and Japan satisfy the EKC theory by demonstrating an inverted U-shaped relationship between economic development and ecological footprint, while analysis based on data from China does not display the same tendency. For both export product diversification and market diversification, the more diversified the country’s export is, the bigger its ecological footprint. The policy implications of this econometric outcome are also discussed. Full article
(This article belongs to the Special Issue Application of Time Series Analyses in Business)
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