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روش های ارزیابی اقتصاد سایه ای

عنوان فارسی مقاله: روش های ارزیابی اقتصاد سایه ای در جهان و لیتوانی: آیا معیارهای تثبیت سایه دیجیتال گنجانده شده اند؟
عنوان انگلیسی مقاله: The methodologies of shadow economy estimation in the world and in Lithuania: whether the criterions fixing digital shadow are included?
مجله/کنفرانس: پروسیدیای مالی و اقتصاد – Procedia Economics and Finance
رشته های تحصیلی مرتبط: اقتصاد
گرایش های تحصیلی مرتبط: اقتصاد مالی
کلمات کلیدی فارسی: اقتصاد سایه ای، اقتصاد سایه ای دیجیتال، روشهای ارزیابی اقتصاد سایه ای، روش های مستقیم و غیرمستقیم، لیتوانی
کلمات کلیدی انگلیسی: shadow economy, digital shadow economy, methodologies of shadow economy evaluation, direct and indirect methods, Lithuania
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/S2212-5671(16)30277-5
دانشگاه: Mykolas Romeris University, Vilnius, LT 08303, Lithuania
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2016
شناسه ISSN: 2212-5671
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 8
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E13827
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


1-Introduction


2-Global problems of shadow economy estimation methodologies: theoretical background


3-The statistics of shadow economy scope in Lithuania by different methodologies


4-The features of digital shadow economy


5-Conclusions


Funding


Reference

نمونه متن انگلیسی مقاله

Abstract


The article covers an extremely topical but hardly researched problem of digital shadow economy estimation. Thus far, the phenomenon of digital shadow economy has not been universally defined either by scientists or by institutions responsible for the combat with shadow economy. Traditional shadow economy is commonly estimated applying direct and indirect methods possessing their strengths and weaknesses. As a result, final estimations of shadow economies are rather variant. For instance, with reference to Schneider (2014), the scope of shadow economy in Lithuania achieved 27 per cent rate in 2014 whereas the figure estimated by Lithuanian Department of Statistics composed 15 per cent rate. It can be presumed that the divergence of the results has been determined by application of different shadow economy estimation methods. The interviews with the experts of shadow economy have revealed that although the volumes of e-trade and e-transactions are increasing, indicators of digital shadow are not still included in the estimations of shadow economy.


Introduction


Topicality of the problem. The phenomenon of digital shadow economy has been analysed in numerous scientific and information sources due to its specificity and depth of the problem. Thus far, the concept of shadow economy has not been precisely defined either in national or in international levels, which serves as the key reason for rather different scopes of shadow economy calculation and estimation. According to Zukauskas (2013), estimation of the real scopes of labour market shadow, as well as estimation of the other shadow economy activities, is complicated since shadow market operators are inclined to hide their activities. For the purpose to describe shadow economy and estimate its scopes, at least roughly, the variety of methods is engaged. Following the statistics, the figures of shadow economy in European countries are significantly different. The scopes of shadow economies in the countries of Central, Eastern and Southern Europe are considered to be the highest. Transfer of business activities to electronic space alongside with increasing volumes of e-trade determine the need to establish which share of shadow economy has been transferred to remote (electronic) platforms. The fact that the concept of shadow economy has not been universally defined in any official documents, proposes that this sphere has been insufficiently researched.

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