This paper attempts to enhance empirical understanding of the effects structural-change variables on economic outcomes. The relationships between sectoral shares and (1) speed structural change (2) growth were examined for a large panel 111 economies over period 1971-2018. Given time series properties absence long-run relationship them, OLS VAR models employed. results are largely in line with ...

BACKGROUND Previous studies suggest that adenylate kinase locus 1 (Ak 1 ) has an important role in the control of blood glucose level and in the glycation of structural and functional proteins in type 2 diabetes and in the balanced development of feto-placental unit in healthy puerperae (HP). In this study, an attempt was made to investigate the relationship of Ak 1 with maternal and neonatal p...

This paper discusses the connection between social capital and trends in economic well-being. Although arguments for the growth-enhancing aspects of social capital are concerned with the impacts of social capital on well-being, in practice research has focussed on the relationship between social capital and trends in GDP per capita. However, there are severe disadvantages to using GDP per capit...

Background: Previous studies suggest that adenylate kinase locus 1 (Ak1) has an important role in the control of blood glucose level and in the glycation of structural and functional proteins in type 2 diabetes and in the balanced development of fetoplacental unit in healthy puerperae (HP). In this study, an attempt was made to investigate the relationship of Ak1 with maternal and neonatal para...

The main goal of the paper is to investigate whether real GDP follows a trend stationary or a different stationary process. Our hypothesis is that real output is characterized by a non-linear mean reverting process. It is flexible Fourier stationary unit root test proposed by Enders and Lee (2004, 2009) to assess the nonstationary properties of the real GDP per capita that has been applied for ...

The holistic economics studies the economy as an integrated, unique object with its own motivation and global resources. It is also necessary to find out from this point of view the global characteristic of this object. And this is just the analogy with the GDP, constructed upon quantities with what the holistic economics works. This characteristic describes activity of parts of the control str...

Purpose: The global pandemic caused by Covid-19 has millions of infected and dead people around the world, generating an unprecedented crisis, affecting economy all countries. aim this work is to analyze whether some most influential determining variables economic level welfare a country, such as GDP, HDI or public debt, have significant influence on coronavirus mortality rate in countries affe...

An increasing amount of high-resolution global spatial data are available, and used for various assessments. However, key economic and human development indicators are still mainly provided only at national level, and downscaled by users for gridded spatial analyses. Instead, it would be beneficial to adopt data for sub-national administrative units where available, supplemented by national dat...

In this work, we propose an algorithmic approach to improve mixed-integer models that are originally formulated as convex Generalized Disjunctive Programs (GDP). The algorithm seeks to obtain an improved continuous relaxation of the MILP/MINLP reformulation of the GDP, while limiting the growth in the problem size. There are three main stages that form the basis of the algorithm. The first one ...

The Global Ozone Monitoring Experiment (GOME) on board ERS-2 (launched in April 1995) is the successful predecessor of a series of new generation sensors (SCIAMACHY, OMI, GOME-2) aiming at the needed global measurement of key ozone-related species to assess current and future changes of the atmosphere [1-3]. Providing the global picture of atmospheric ozone (O 3), GOME is also the first orbitin...