scholarly journals Random Interaction Effect of Digital Transformation on General Price Level and Economic Growth

2020 ◽  
Vol 14 (1) ◽  
pp. 29-47
Author(s):  
Byung Gwun Choy ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 72-93
Author(s):  
Afia Mushtaq ◽  
Noman Arshed ◽  
Muhammad Shahid Hassan

Banking sector development is one of the key elements benchmarking economic growth. Several empirical studies for several instances have indicated a positive relationship between banking sector development and economic growth. This study intends to examine the sources of banking sector development of Pakistan, using capital formation, interest rate, trade deficit, general price level and remittances as the proposed indicators. There is a lack of studies which investigated the impact of investment and trade deficit on banking sector development. The empirical data for the study is taken from world development indicators for 38 years. For the reliable estimates, ARDL cointegration technique has been used to estimate the long run determinants of banking sector development. Domestic credit to private sector has been used as a proxy for the banking sector development because of its market orientation. The results show that increase in the investment, imports and general price level leads to increase in the provision of domestic credit which leads to banking sector development.


1973 ◽  
Vol 12 (1) ◽  
pp. 1-30
Author(s):  
Syed Nawab Haider Naqvi

The recent uncertainties about aid flows have underscored the need for achieving an early independence from foreign aid. The Perspective Plan (1,965-85) had envisaged the termination of Pakistan's dependence on foreign aid by 1985. However, in the context of West Pakistan alone the time horizon can now be advanced by several years with considerable confidence in its economy to pull the trick. The difficulties of achieving independence from foreign aid can be seen by reference to the fact that aid flows make it possible for the policy-maker to pursue such ostensibly incompatible objectives as a balance in international payments (i.e., foreign aid finances the balance of payments), higher rates of economic growth (Lei, it pulls up domestic saving and investment levels), a high level of employment (i.e., it keeps the industries working at a fuller capacity than would otherwise be the case), and a reasonably stable price level (i.e., it lets a higher level of imports than would otherwise be possible). Without aid, then a simultaneous attainment of all these objectives at the former higher levels together with the balance in foreign payments may become well-nigh impos¬sible. Choices are, therefore, inevitable not for definite places in the hierarchy of values, but rather for occasional "trade-offs". That is to say, we will have to" choose how much to sacrifice for the attainment of one goal for the sake of somewhat better realization of another.


REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.


Author(s):  
N.V. RASSKAZOVA ◽  

The problems of the digital economy development are central, since the introduction of digital technologies in the reproduction process provides for increased efficiency and reduced production costs. This fact encourages the development of digital platforms and mechanisms that allow to accelerate the process of interaction between different actors and reduce the transaction costs of coordinating economic interests at the micro and macro levels, which will eventually lead to economic growth. In this regard, the problem of digitalization of the Russian economy and its branches is relevant.


2021 ◽  
Vol 18 ◽  
pp. 569-580
Author(s):  
Kateryna Kraus ◽  
Nataliia Kraus ◽  
Oleksandr Manzhura

The purpose of the research is to present the features of digitization of business processes in enterprises as a foundation on which the gradual formation of Industry 4.0 and the search for economic growth in new virtual reality, which has every chance to be a decisive step in implementing digital strategy for Ukraine and development of the innovation ecosystem. Key problems that arise during the digitalization of business processes in enterprises are presented, among which are: the historical orientation of production to mass, “running” sizes and large batches; large-scale production load; the complexity of cooperation and logic between production sites. It is determined that high-quality and effective tools of innovation-digital transformation in the conditions of virtual reality should include: a single system of on-line order management for all enterprises (application registration – technical expertise – planning – performance control – shipment); Smart Factory, Predictive Maintenance, IIoT, CRM, SCM. Features of digital transformation in the part of formation of enterprises of the ecosystem of Industry 4.0 are revealed. The capabilities and benefits of using Azure cloud platform in enterprises, which includes more than 200 products and cloud services, are analyzed. Azure is said to support open source technologies, so businesses have the ability to use tools and technologies they prefer and are more useful. After conducting a thorough analysis of the acceleration of deep digitalization of business processes by enterprises, authors proposed to put into practice Aruba solution for tracking contacts in the fight against COVID-19. Aruba technology helps locate, allowing you to implement flexible solutions based on Aruba Partner Ecosystem using a USB interface. It is proposed to use SYNTEGRA – a data integration service that provides interactive analytics and provides data models and dashboards in order to accelerate the modernization of data storage and management, optimize reporting in the company and obtain real-time analytics. The possibilities of using Azure cloud platform during the digitization of business processes of enterprises of the ecosystem of Industry 4.0 in the conditions of virtual reality are determined.


2012 ◽  
Vol 524-527 ◽  
pp. 3211-3215 ◽  
Author(s):  
Shu Ping Wang ◽  
Ai Mei Hu ◽  
Zhen Xin Wu

China has been in rapid economic growth and industrial structure reform for recent years, and oil, as a most important raw material for industrial production, its price fluctuations have direct impact on energy-intensive industries as well as non-energy-intensive industries and their associated industries’ overall demands. Under the price transmission mechanism, oil price volatility imposes significant influences on economic growth rate, price level, unemployment rate and monetary policy as well. This paper established VAR model among oil prices and economic indicators such as economic growth rate, price level, unemployment rate and monetary policy, and by data processing , stability test and cointegration test, we found that there existed long term stable cointegration relations among these sequences; through Granger Causality test we found that oil price volatility was the Granger cause of the fluctuations of economic growth rate, price level and monetary policy, and meanwhile, changes in economic growth rate is the Granger cause of that in price level. The result of our empirical study indicated that, oil price volatility has a profound influence on China’s economy, and thus, China should improve the establishment of the oil futures market to avoid risks of oil price volatility and secure long-term stability of its economic growth.


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