Showing 9 results for Developing Countries
Dr Jahangarde, Sara Ali Asgari,
Volume 2, Issue 4 (6-2011)
Abstract
Macroeconomic performance has improved in many countries in the world in the last fifteen years or so. Much of the literature has concentrated on how central bank independence, inflation targeting regimes, and currency :::union:::s have contributed to improving the effectiveness of monetary policy and hence macroeconomic performance. Since the financial system is a key component of the monetary transmission mechanism, we study how a country’s financial development affects monetary policy efficiency in 28 developed and developing countries within 1995-2006. Specifically, our objective is to derive monetary policy efficiency measures (PEMs) - derivative from Krause and Rioja- for 28 Developed and developing countries and analyze the impact that the size and depth of the banking sector and the capital sector have on policy performance. In our empirical analysis we use three financial development measures: private credit, liquid liabilities, and a financial aggregate index that comprises banking and stock market measures. The Results of model estimation with generalized method of moments (GMM) technique, shows that financial development with mentioned indicators has a positive and significant effect on monetary policy efficiency. Also supervision in central bank independency and inflation targeting regimes -as control variables- has positive and significant effect on monetary policy efficiency. This result doesn’t make a difference whether the country is developed or developing and in the both of them more developed financial markets, controlling the central bank independency and applying inflation targeting regimes, significantly help to achieve a more efficient monetary policy.
Mohammadreza Monjazeb, Mohsen Mahmoodi Pati,
Volume 7, Issue 26 (12-2016)
Abstract
The main objective of this study is: investigate the effect of government size on inflation rate in the 34 countries of the developing countries during the years 1998 to 2013. For this purpose, the index of total government spending as a percentage of GDP, used as government size and then the model of this study has been estimated by using the panel data technique.
The results of this study imply that the government size has had significant negative effect on the inflation rate and also the variables: liquidity growth rate, growth rate of import price and interest rate have had positive effect on the inflation. Furthermore, the growth rate of GDP, with a difference of degree has significant negative effect on inflation. Hence, the most important result of this study is the majority of the general government- spending in Developing countries has led to the Construction costs and investment in infrastructures that has strengthened. The supply side of the economy of these Countries that The origin of this effect can be the retarded economic structures of these countries.
Samira Motaghi,
Volume 8, Issue 30 (12-2017)
Abstract
The present paper reviews the impact of the development situation of 3 groups of selected developing countries on environment over the period of 1990 – 2014 using by Environment Kuznets Curve (EKC) hypothesis. For this, it uses economic, social, human and political development factors with the variables that are as follows: GDP, GDP2 and energy consumption as economic development indicators, Urbanization as social and life expectancy at birth and fertility rates as human development indicators and good governance used as political indicator. The results show an inverted U-shaped relationship real GDP per capita and CO2 emission in oil-exporting and whole sample and a U-shaped in non-oil – exporting countries. In addition, the estimated results show a meaningful relationship between the CO2 emission and real GDP, energy use fertility rate, expectancy at birth and urbanization (development situation) in all three groups of the country.
Hassan Khodavaisi, Abolgasem Golkhandan, Majid Babaei Agh Esmaili,
Volume 10, Issue 36 (6-2019)
Abstract
The main objective of this paper is to investigate the impact of corruption on the military burden of developing countries during the 2000-2015 period. To achieve this goal, a general model of military expenditures , two indexes of corruption including corruption perceptions and control of corruption, Panel Co-integration analysis and two-stage system generalized method of moment estimator (SGMM), has been used. The results of the estimation of the research model show that the effect of corruption on the military burden of the studied countries is positive and significant. According to other results, civilian spending (as an opportunity cost of military spending) and democracy have had a negative and significant impact on the military burden of developing countries. . Population as a social variable has a positive and significant effect on the military burden of developing countries, which indicates that defense is a public good. Per capita income and lagged military expenditure also have a positive and significant effect on the military burden of the studied countries. The average military burden of the countries of the world has also had a positive and significant impact on the military burden of developing countries, which indicates a rivalry of arms.
Alireza Kazerouni, Hosein Asgharpour, Ali Aghamohamadi, Elham Zokaei Alamdari,
Volume 10, Issue 37 (10-2019)
Abstract
This study examines the relationship between per capita income and per capita dioxide emissions in the form of a new definition of the Environmental Kuznets Curve, to investigate how corruption influences the income level at the turning point of the relationship between per capita dioxide emissions and income, in developed and developing countries the period 1994-2013 through the use of a panel data model. Our results support the Environmental Kuznets Curve hypothesis for developed countries and existence of an U-shaped relation for developing countries. We find evidence that the higher the country's degree of corruption, the higher the per capita income at the turning point for developed countries and the lower the per capita income at the turning point for developing countries than when corruption is not accounted for. Also, the share of renewable energy in both groups of countries has a negative and significant effect on per capita dioxide emissions, but the positive effect of urbanization rate in developed countries is significant and in developing countries is not.
Ali Kiani, Karim Eslamloueyan, Phd Roohollah Shahnazi, Parviz Rostamzadeh,
Volume 10, Issue 38 (12-2019)
Abstract
In recent years, some research has focused on the importance of the origin of an oil shock for macroeconomic dynamics in both oil-exporting and importing countries. The existing literature lacks a proper open Stochastic Dynamic General Equilibrium (DSGE) framework to investigate the effect of the origins of oil shocks on macro variables in a two-country model consisting of an oil-exporting county and an oil-importing country. To this end, we develop and solve a new Keynesian DSGE model to show how the different oil shocks originating from oil supply or oil demand, might have diverse impacts on key macroeconomic variables in oil-exporting and importing counties. For the case study, we use data from Iran as an example of an oil-exporting country that trades with the rest of the world. Our DSGE model is estimated by using the Bayesian method for the period 1986:1-2017:4. The result shows that an oil shock originated from the shortage of oil supply (an exogenous decrease in Iran's oil production) decreases total production, non-oil trade, employment, inflation and consumption in this oil-exporting country. While a negative oil supply shock increases production costs and reduces production and consumption in Iran. However, an oil shock originated from an increase in the demand for oil raises output, non-oil trade, employment, consumption, and inflation in Iran as an oil-exporting country while a demand-side oil shock boosts production and increases inflation in this country.
Jafar Zhilaei Aghdam, Ali Reza Daghighiasli, Marjan Daman Kashide, Ali Asmailpor Magari,
Volume 11, Issue 40 (6-2020)
Abstract
The relationship between external debt and economic growth is one of the important issues in macroeconomics literature and has been considered in empirical studies. So, in this paper the long-run relationship among external government debt and economic growth in 58 selected developing countries for 1985-2018 by applying a pool mean group method which is suggested by Pesaran & Smith. The main empirical results showed that there is a long-run relationship between external debt and economic growth. Also, increase in growth in selected countries in addition to the influence of produce factors, labor, capital stock and monetary policy, influence of public debt. Also, capital stock, open economic, financial balance and saving variables has positive effect and population growth and Government revenue has negative effect on economic growth.
Sahebe Mohamadian Mansour,
Volume 13, Issue 50 (3-2023)
Abstract
Despite the notion that economies with abundant natural resource revenues should have a lower default risk and thus a lower share of public debt, this notion is not generally valid. Natural resources in these countries serve as a guarantee to procure more public loans and binds them in debt trap. In this regard, this article examines the short-term and long-term effects of natural resource rent on public debt in developing countries during 2000-2020. For this purpose, first, a model was designed with the presence of basic variables affecting public debt, along with the variable of share of natural resource rent from GDP, and using panel co-integration tests, the existence of a long-term equilibrium relationship between the variables of the model was confirmed. Finally, the pooled mean group (PMG) approach was used to measure long-term and short-term relationships, and the e Dumitrescu-Hurlin test was used to determine causality. The findings of this research show that the effect of the share of natural resource rent from GDP on public debt is negative (and significant) in the short term and positive (and significant) in the long term. The results of the Dumitrescu-Hurlin test also indicate the existence of a two-way causal relationship between the abundance of natural resources and public debt. Based on this, it can be said that the abundance of natural resources in developing countries leads to higher public debts in the long term, and high levels of public debts also cause rapid extraction of natural resources in these countries.
Dr Samira Motaghi, Dr Yegane Mosavi Jahromi, Mr Mohammad Amin Taheri Gorgani,
Volume 14, Issue 51 (5-2023)
Abstract
Purpose: The insurance penetration rate is one of the most important indicators used to evaluate the insurance industry of a country. This ratio is also a measure to compare the performance of the insurance industry between developed and developing countries. The aim of this research is to compare the insurance penetration rate and the factors affecting it in high and low income countries.
Methodology: The current research examines the effect of variables such as inflation rate, education, labor productivity, dependency ratio and income on the insurance penetration rate in the period 2011-2021 and using PMG and ARDL methods to derive short-term and long-term equations in 18 countries with income High and low income and the country of Iran pays.
Findings: The results obtained from the estimation of long-term PMG models in high-income countries indicate a positive effect of dependency ratio, income level and fertility level on the insurance penetration rate, as well as a negative effect of inflation rate and labor productivity on the dependent variable, also in selected countries with high income. All the variables, except for education and dependency ratio, which had a positive and significant effect on the insurance penetration rate, are statistically meaningless. On the other hand, the findings from the estimation of the long-term ARDL model in Kesho Iran show the negative impact of the inflation rate on the insurance penetration rate and the positive impact of the education level, income level and dependency ratio on the insurance penetration rate.
