COMPARATIVE ANALYSIS OF EXCHANGE RATE APPRECIATION AND AGGREGATE ECONOMIC ACTIVITY: THEORY AND EVIDENCE FROM MIDDLE EASTERN COUNTRIES

2008 ◽  
Vol 60 (1) ◽  
pp. 45-96 ◽  
Author(s):  
Magda Kandil ◽  
Ida Aghdas Mirzaie
2021 ◽  
Vol 23 (1) ◽  
pp. 85-99
Author(s):  
Hasnan Baber ◽  
Rao Tripati

The decision on immediate lockdown in India put economic, social and religious activities to a grinding halt. The paper examines the impact of the lockdown and social distancing policies on economic activities in India, using a multivariate econometric model for the data collected in the period from 1st January to 31st August 2020. While the social distancing policy is captured in terms of internal movement, domestic travel and international travel restrictions, its effect on the economic activity and the business activity is captured through stock prices, purchasing managers' index and the exchange rate. Confirmed COVID-19 cases and related deaths are also used as the independent variables. The results reveal a significant negative impact of social distancing policies on the economic activity and the business activity, the stock market and the exchange rate. Furthermore, the economic stimulus provided by the Government could not bring a positive influence on the stock market.


Author(s):  
Т.Ф. Шарифьянов

Объектом статьи выступает региональная инфраструктура цифровой экономики, а предметом - институциональные механизмы распространения инфраструктуры от карскаса расселения к малым населенным пунктам на периферийных территориях региона. Выполнен анализ объемов, структуры и приоритетов финансирования национального проекта «Цифровая экономика». Сделан прогноз финансирования НИОКР в РФ в период 2019-2024 на основе правительственных документов, прогнозов ВВП и курса рубля. Выполнен сравнительный анализ достаточности финансирования НИОКР в РФ. Определена проблема, с которой столкнутся регионы России при переходе к цифровой экономике - дефицит инфраструктуры цифровой экономики и выявлены пространственные характеристики этого дефицита. Сформулированы понятия объективного (структурного) и субъективного (стратегического) барьеров на пути инвестиций в региональную инфраструктуру. На основе статистического анализа, разработаны методы решения вскрытой проблемы реиональными силами. Сформулированы региональные задачи снижения субъективных барьеров на пути развития инфраструктуры и доказана возможность их решения. Regional infrastructure of the digital economy is the object of this paper. And the subject is the institutional mechanisms for the infrastructure distribution from the urban lattice to the small rural settlement in the districts peripheral territories. Authors made analysis of the volumes, structure and priorities of the national project "Digital Economy" financing. A forecast is made for financing R&D in the Russian Federation in the period 2019-2024 based on government documents, forecasts of GDP and the ruble exchange rate. A comparative analysis of the adequacy of R&D funding in the Russian Federation is carried out. The problem that Russian districts will face in the transformation to the digital economy is identified - a deficit in the infrastructure of the digital economy and the spatial characteristics of this deficit are revealed. The author formulated the concepts of objective (structural) and subjective (strategic) barriers to investment in regional infrastructure. Methods for solving a district level open problem based on statistical analysis are proposed. Based on the institutional approach, two tasks have been set for the district authorities and the possibility of solving them has been proved.


2020 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Ibrar Hussain ◽  
Muhammad Asif

Mobile payment systems are providing an opportunity for smartphone users for transferring money to each other with ease. This simple way of transferring through mobile payment systems has great potential for economic activity. However, fraudulent transactions may occur and can have a substantial impact on the economy of a country. Financial fraud and anomalous transactions can cause a loss of billions of dollars annually. Therefore, there is a need to detect anomalous transactions through mobile payment systems to prevent financial fraud. For this research study, a synthetic dataset is generated by using a PAYSIM simulator due to the lack of availability of a realistic dataset. This research study performed experiments on a financial transactional dataset using eight data mining classification algorithms. The performance of classification models was measured by using evaluation metrics: accuracy, precision, F-score, recall, and specificity. A comparative analysis of classification models was also performed based on their performance.


Author(s):  
Irshat Madyarov ◽  
Aida Taef

<p>This study explores six cases of non-native English speaking students engaged in a distance English-medium course on critical thinking at a university in Iran. Framed within activity theory, the study investigated students’ course-related activity systems with a particular focus on contradictions that underlie any human activity. The construct of contradictions provides a theoretical lens to understand a web of relationships among a number of elements in course-related activities situated in a cultural-historical setting beset with political controversies, technological challenges, and needs for a bilingual curriculum. The findings indicate that all student participants had multiple activity systems within the course environment. Most participants had primary, secondary, and quaternary contradictions that had positive and negative consequences on the expansion of their activity systems. Discussion also includes practical implications for the distance university under study that could potentially be applied to similar distance schools.</p>


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