Balanced Growth: A Potential Resolution to the Easterlin Paradox

2013 ◽  
Author(s):  
Guoqiang Tian ◽  
Xinli Wang ◽  
Liyan Yang
Keyword(s):  
Easterlin Paradox ◽  
Balanced Growth

Russian Banking Sector under World Financial Market Uncertainty: Problems and Prospects

2008 ◽  
pp. 4-19 ◽  
Author(s):  
A. Ulyukaev ◽  
E. Danilova
Keyword(s):  
Emerging Markets ◽  
Financial Market ◽  
Banking Sector ◽  
Financial System ◽  
Local Market ◽  
Market Uncertainty ◽  
Balanced Growth ◽  
Banking Sector Development ◽  
The World ◽  
The Usa

The authors point out that the local market crisis - on the USA substandard loan market - has led to the uncertainty of the world financial market. It has caused the growing demand for liquidity in the framework of the world financial system. The Russian banking sector seems to be more stable under negative changes than banking systems of other emerging markets. At the same time one can assume that the crisis will become the factor of qualitative shift in the character of the Russian banking sector development - the shift from impetuous to more balanced growth.

Eurasian Competitive Capacity Turkey

2016 ◽  
Author(s):  
Hakkı Çiftçi ◽  
Aliye Erşahinoğlu
Keyword(s):  
Technological Development ◽  
New Ventures ◽  
Study Data ◽  
Source Distribution ◽  
Global Competition ◽  
Competition Index ◽  
Balanced Growth ◽  
Innovative Management ◽  
Energy Trade ◽  
And Function

New ventures and creation of market awareness and industrial competition make competition as a prior concept. From this, evaluation of Eurasian competition capacity from the viewpoint of Turkey gains importance as an issue. Within the scope of EU 2020; 3 thematic priorities, 5 main targets, 7 initiatives were determined as a basis. This study that aims developing innovative management and achieving sustainable and more balanced growth with powerful innovative competition capacity, will take basic policies, which will create the competition capacity leans from Turkey to Eurasia, as a basis. This study also includes the analyses of sectoral competition capacity from Turkey to Eurasia as well as legal regulations, energy, trade, employment and geographical dimensions. As the method of this study, data regarding the indications of competition capacity over the last decade will be evaluated, deficiencies will be determined, source distribution will be directed, technological development functions will be achieved, efficient and function competition will be coordinated with the economic growth and a series of measurements will be taken and competition policies will be established in this regard. This study will also analyze the competition policies of Turkey and Eurasia and their objectives, efficiency and measurement of competition, general overview of Eurasian economies, global competition in Eurasian countries, index sequencing and scores in accordance with developed innovation in terms of Azerbaijan, Kazakhstan, Kyrgyzstan, Tajikistan and Turkey. Through the evaluation of rankings of Eurasian economies within Global Competition Index as well as the scores and Global Competition Report, the study will be concluded.

Balanced Growth, Destabilizers, and the Big Push

1960 ◽  
Vol 12 (3) ◽  
pp. 468-477
Author(s):  
Bert F. Hoselitz
Keyword(s):  
Balanced Growth ◽  
Big Push

TIME SERIES MODELLING OF EPIDEMICS: LEADING INDICATORS, CONTROL GROUPS AND POLICY ASSESSMENT

2021 ◽  
Vol 257 ◽  
pp. 83-100
Author(s):  
Andrew Harvey
Keyword(s):  
Time Series ◽  
Data Science ◽  
Leading Indicators ◽  
Control Groups ◽  
Balanced Growth ◽  
Time Series Modelling ◽  
Key Variables ◽  
The Uk ◽  
The Relationship

This article shows how new time series models can be used to track the progress of an epidemic, forecast key variables and evaluate the effects of policies. The univariate framework of Harvey and Kattuman (2020, Harvard Data Science Review, Special Issue 1—COVID-19, https://hdsr.mitpress.mit.edu/pub/ozgjx0yn) is extended to model the relationship between two or more series and the role of common trends is discussed. Data on daily deaths from COVID-19 in Italy and the UK provides an example of leading indicators when there is a balanced growth. When growth is not balanced, the model can be extended by including a non-stationary component in one of the series. The viability of this model is investigated by examining the relationship between new cases and deaths in the Florida second wave of summer 2020. The balanced growth framework is then used as the basis for policy evaluation by showing how some variables can serve as control groups for a target variable. This approach is used to investigate the consequences of Sweden’s soft lockdown coronavirus policy in the spring of 2020.

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