scholarly journals Paraguay

2021 ◽  
Vol 21 (45) ◽  
Author(s):  

In the past two decades, Paraguay has seen strong growth and a sharp reduction in poverty. Strong GDP growth was the result of sound macro policies (with low inflation and low fiscal deficits and debt) and an agricultural commodity price boom which spilled over to the non-tradable sector. Growth was not just high but also volatile, as bad weather shocks led to poor harvests, which spill over to the broader economy. In early 2020, Paraguay was rebounding strongly from another weather shock, and full-year growth was forecast at over 4 percent. In 2019, bad weather had reduced the harvest, and GDP growth had come to a near standstill. A recovery started in the second half of 2019 and gathered strength in early 2020—in February economic activity was 7 percent higher than a year earlier. The Covid-19 epidemic halted the recovery. An early lockdown—which kept the death toll among the lowest in the region—led to a sharp contraction in economic activity, with April activity levels at 20 percent below those in February. Women, informal sector workers, and workers in the service sector were particularly hard hit; while children were severely affected by the closing of the schools until the end of 2020.

Author(s):  
Svitlana Ishchuk ◽  
Lyubomyr Sozanskyy

The scale and deep heterogeneity of the national economy of Ukraine in the regional context make the relevance of scientific research in this thematic area. The purpose of the article is to determine the economic specialization of the regions of Ukraine by key economic activities contributing to the formation of gross value added, as well as outlining the potential risks to the national economy, taking into account the situation on world commodity markets. The results of the research showed that one of the consequences of the unstable dynamics of industrial production in Ukraine under the influence of geopolitical and macroeconomic factors is the reduction of industrial specialization of the economy of a number of Ukrainian regions. Thus, in 2017 the manufacturing was the leading economic activity (with the highest share in the gross value added created) in 11 regions, compared to 15 in 2012. So Poltava, Donetsk, Dnipropetrovsk and Zaporizhzhya regions are considered to be “highly industrial”. At the same time, the agrarian specialization of the economy of Ukraine and its regions deepened – in 2017 agriculture became the leading type of economic activity in 11 regions (compared to 7 in 2012). The most “agrarian” in Ukraine (with a share of agriculture in gross value added over 30%) in 2017 became the Kherson, Kirovohrad and Khmelnytsky regions. Increasing the level of “agrarianization” of the national economy in the context of volatility of agricultural commodity prices on the world markets poses significant risks for the socio-economic development of Ukraine and its regions. These risks are exacerbated by the high amplitude of fluctuations in the volume and structure of domestic agricultural products and the low degree of processing of raw materials. To improve the structure of domestic commodity exports (in the direction of increasing its share of products with a higher degree of processing) and to deepen its diversification, a number of measures should be carried out aimed at stimulating export activity of enterprises (industrial and agro-industrial), carrying out technical and technological re-equipment of industrial and export production bases, creation of new high-tech industries on the basis of the implementation of powerful innovation and investment projects.


Author(s):  
USIK I.,

У статті розкрито основи моделювання структурноїтрансформації економіки країни в умовах глобалізаційних викликів.Побудована система економетричних моделей розвитку економікикраїни за такими видами економічної діяльності: промисловість, сільськегосподарство, будівництво, транспорт та зв'язок та сфера послуг.Формування системи економетричних моделей за кожним видомекономічної діяльності здійснювалося на основі даних за 2001−2018 рр. затакими параметрами: доходи бюджету країни; інвестиції в основнийкапітал; обсяг основних фондів в галузі виробництва; чисельністьзайнятих; випуск товарів та послуг за галуззю виробництва. На основісистеми економетричних моделей розвитку економіки країни здійсненопрогнозування структури економіки на 2019−2022 рр., проведена оцінкаструктурної трансформації та виявлено, що в економіці України з2010 р. намітилася тенденція до збільшення частки валового випуску всфері послуг. Прогнозна структура економіки країни дозволяє розробитизаходи державної політики щодо стабілізації економіки від наслідківможливої структурної трансформації. The article describes the basics of modeling of the structuraltransformation of the country's economy in the context of globalizationchallenges. A system of econometric models of the country's economydevelopment based on the following types of economic activity: industry,agriculture, construction, transport, communications and services. Theformation of a system of econometric models for each type of economic activitywas carried out on the basis of data for 2001−2018 according to the followingparameters: budget revenues of the country; investment in fixed assets; thevolume of fixed assets in the field of production; number to take; production ofgoods and services for the production industry. On the basis of the system ofeconometric models of the country's economy development, the forecasting ofthe structure of the economy for 2019−2022 was carried out, an assessment ofthe structural transformation was carried out, and it was found that in theUkrainian economy since 2010 there was a tendency to increase the share ofgross output in the service sector. The predicted structure of the country'seconomy allows developing state policy measures to stabilize the economyfrom the effects of a possible structural transformation.


2016 ◽  
Vol 3 (2) ◽  
pp. 49
Author(s):  
Beverly Acquah

This study investigates the dynamic interrelationships among stock prices and selected macroeconomic indicators namely; economic activity, global commodity price index, inflation and interest rates in Ghana. By employing a Vector Autoregression (VAR) Model, the empirical results reveal that stock prices depreciate with an increase in global commodity prices and interest rates indicating a negative relationship. On the other hand, stock prices appreciate with an increase in inflation and economic activity indicating a positive relationship. Examining stock market variability on the selected macroeconomic variables also showed that inflation and interest rates respond negatively to changes in asset prices while the stock market itself is not found to be a leading indicator for economic activity. The evidence suggests that the listed equities on the GSE are a hedge against inflation in Ghana. Increasing economic activity over time is advantageous for the Ghanaian stock market.


2020 ◽  
Vol 65 ◽  
pp. 103207 ◽  
Author(s):  
Sebastian Acevedo ◽  
Mico Mrkaic ◽  
Natalija Novta ◽  
Evgenia Pugacheva ◽  
Petia Topalova

2019 ◽  
Vol 71 ◽  
pp. 01002
Author(s):  
P. Zhelev

Kazakhstan has managed to benefit from its considerable endowments of natural resources during the commodity price boom in the 2000s. However, the global crisis of 2008-09 has demonstrated that relying on a single sector prone to high price volatility cannot be a viable strategy for development. The government of Kazakhstan well realizes that and for already 2 decades has been pursuing various industrial policy initiatives to build a more diversified and competitive economy. The paper aims to examine how successful were those policies by applying various indicators of export diversification. The results show that progress has been very limited as the country’s export basket is highly concentrated and still dominated by oil. This suggests that Kazakhstan should ensure better implementation, coordination, monitoring and evaluation of its diversification initiatives.


2016 ◽  
Vol 67 (1) ◽  
Author(s):  
Michael Siegenthaler ◽  
Michael Graff ◽  
Massimo Mannino

AbstractSwitzerland’s employment growth since the early 2000s was very high in both historical and international perspective, despite solid real wage increases and only moderate GDP growth. Yet, the reasons for the remarkable creation of jobs are largely unknown. We aim at filling this gap by studying the underlying characteristics and drivers of the Swiss “job miracle”. We first outline the characteristics of the “job miracle” and show that the observed job growth correlates with a substantial increase in the labor intensity of economic activity. We then discuss five potential drivers of the unprecedented employment growth, which are consistent with the facts. Our empirical results suggest that immigration was the key factor in explaining the “job miracle” as it raised local demand and thereby triggered the creation of additional jobs.


Sign in / Sign up

Export Citation Format

Share Document