Suchergebnisse

It is almost impossible to imagine the development of economics since World War II apart from the availability and pervasive employment of the national income and product accounts. Before the war, however, such measures remained strictly in the development stage, as economists such as Colin Clark and Simon Kuznets worked for years to produce estimates of the sort that any elementary economics student or newspaper reader now encounters daily in frequently updated form. Estimates of gross domestic product, along with its variants and detailed components, became an essential part of economic analysis only when the Great Depression, the emergence of Keynesian macroeconomics, and the Western powers' engagement in World War II brought such estimates to the fore in the late 1930s and early 1940s. When Kuznets and others were engaged in pioneering the development of the national accounts, substantial controversy arose regarding a variety of related issues. Among the many issues involved in these developments, none loomed larger than that of the meaning and purpose of national income and product. Adapted from the source document.

Gross Domestic Product (GDP) is measured by adding up products and services that have a price tag for which money has exchanged hands. It has become the way to get a sense of a country's level of progress and is widely used to compare economies to one another. Despite its integral role in guiding governmental policies, the statistic has many shortcomings that have been acknowledged, but rarely addressed in practice. This senior exercise will look at the history of GDP, which the US Department of Commerce has deemed the twentieth century's greatest invention. It will discuss how the indicator became the unchallenged number for measuring national welfare and examine the limits of its use. Even the Nobel Prize winning economist who helped develop the measurement warned that it should not be mistaken for a replacement to other necessary indicators that give a true picture of the well-being of citizens. Our well-being is multidimensional and it involves realms well outside financial transactions. This discussion becomes even more important as we look at the future of economic growth.

Based on statistical data for the period 1999 – 2014 regression analysis is realized of the relation between the GDP and the government expenditure in Bulgaria. The Armey curve is used.

The objective of this empirical study is to find out the long and short run relationships between government revenues, money supply and Gross Domestic Product. The study used Time Sires data with secondary data collected from China's national office of statistics within the period (1990-2018) and employed the ARDL model based on the literature review. We used the Gross Domestic Product as a dependent variable and the money supply (M2) and Government revenue (Re) as independent variables. The study results shows the independent variable to have positive signification on the Gross Domestic Product. The study recommends that the Chinese government needs to stay at the same level of money supply and use a good monetary policy to control the money supply value because it has a direct relationship. The government revenues play linkage role between the growing economy and the money supply. ; This Article published at : International Journal of Academic Research in Business, Arts and Science (IJARBAS.COM), Issue: 1 , Volume: 1, Article: 7, Month: August, Year: 2019.

Total Private Consumption is the ideal Valued Added Tax base for Valued Added Tax revenue modelling and forecasting. However, data on private consumption expenditure is not available in most developing countries. With this reason, this study aims to study the appropriateness of real Gross Domestic Product as a Valued Added Tax base by testing the correlation between Valued Added Tax Revenue and Real Gross Domestic Product. It further examines the elasticity of Valued Added Tax revenue to changes in real Gross Domestic Product of Ghana. It is realized from the study that a one percent increase in real Gross Domestic Product results in a 3.7337 percent increase in Total Valued Added Tax revenue. Also, a, high correlation of 0.9365 is realized between real Gross Domestic Product and Total Valued Added Tax revenue. Since monthly and/or quarterly data on private consumption expenditure is not available in Ghana, real Gross Domestic Product can be used as VAT base (especially in VAT revenue modelling and forecasting) because of the high correlation and elasticity between Value Added Tax revenue and real Gross Domestic Product. Sequel to these, the study recommends that the government of Ghana implements supply-side policies that will boost investment and production, reduce imports and encourage import substitution, and also demand-side policies that will increase aggregate demand. These policies will expedite rapid economic growth, and an increase in Value Added Tax revenue will be a consequent result.

The objective of this empirical study is to find out the long and short run relationships between government revenues, money supply and Gross Domestic Product. The study used Time Sires data with secondary data collected from China's national office of statistics within the period (1990-2018) and employed the ARDL model based on the literature review. We used the Gross Domestic Product as a dependent variable and the money supply (M2) and Government revenue (Re) as independent variables. The study results shows the independent variable to have positive signification on the Gross Domestic Product. The study recommends that the Chinese government needs to stay at the same level of money supply and use a good monetary policy to control the money supply value because it has a direct relationship. The government revenues play linkage role between the growing economy and the money supply. ; This Article published at : International Journal of Academic Research in Business, Arts and Science (IJARBAS.COM), Issue: 1 , Volume: 1, Article: 7, Month: August, Year: 2019.

This study has two objectives. First, to extract a cycle from agricultural
GDP. Second, to compute the periodicity of the cycle. To achieve these
objectives, a univariate time series procedure is applied. It is found that
agricultural GDP is cyclic and that the cycle occurs every 8.25 years.