جستجوی مقالات مرتبط با کلیدواژه « service sector value added » در نشریات گروه « اقتصاد »

Corruption is defined as the manipulation of power by private and public authorities to achieve personal and individual goals. Many articles have been written about the factors formed corruption that a wide range of variables to be included. In this article we will examine the role of a factor in the corruption forming that had not been studied yet. This factor is combining economic activities. The combining economic activities is defined by using of the ratio of the industrial value added in GDP and the ratio of the services sector value added in GDP. Also, the main purpose of this paper is to study the effect of combining economic activities on corruption, using the data for 60 developing countries from 1995 to 2014. In this regard, we use six variables including corruption, government size, democracy, GDP per capita, the ratio of the value added in the industrial sector to the GDP and the ratio of the value added in the service sector to the GDP. Our hypothesis is that combining economic activities is effective on corruption. In this paper, 2 GMM models are estimated. The results indicate that variables of democracy, GDP per capita and the ratio of the industrial sector to GDP has a positive relationship with corruption index. That is, an increase in these variables reduces the level of corruption. Also, the variables of government size and the ratio of service sector to GDP have a negative relationship with corruption index which means an increase in these two variables raises the level of corruption.

Corruption is defined as abuse of power by governmental and private officials for personal goals. Corruption is affecting by many variables, such as political, economic, cultural, geographical factor and will be influenced on many variables. The main goal of this article, is analyzing of effect of economic activity combination on corruption. In this article, 6 variables corruption, GDP per capita, oil rent, share of industrial value added in GDP and share of services value added in GDP are used. In this article, two models are estimated. First model is Bayesian model that is used for Iran. Second model is panel data model that is used for OPEC countries over the years 1995 to 2010. The conclusion have been obtained shows that oil rent and share of services value added in GDP variables have an positive effect on corruption and as they increase, corruption have been increased. The share of industrial value added in GDP and GDP per capita variables have an adverse effect on corruption and as they increase, corruption have been decreased. Also democracy has no significant effect on corruption.

Corruption defined as abuse of power by governmental officials for personal goals.in recent years, many articles about determinants of corruption have been written that introduced so many variables as determinants of corruption. These factors can be divided into two categories: economic and non-economic factors.in these article we examine the effect of economic activities combination on corruption.In order to define composition of the economic activities, we use two variables, the value added of the industrial sector in GDP and the value added of the services sector to GDP.in this paper we use 7 variables, including Corruption, Government Size, Democracy, GDP per capita, Inflation, The share of industrial sector value added in GDP and The share of Service sector value added in GDP.Panel data method is estimation method that used for 60 developing countries during 1995 to 2010. Our hypothesis in this research is that the economic activities combination is effective on corruption. The conclusion have been obtained shows that democracy and GDP per capita variables have an adverse effect on corruption and as they increase, corruption have been decreased. Increasing in the size government and inflation will also increase corruption. Finally increasing in the share of industrial in GDP will reduce corruption and also increasing in the service sector share in GDP will increase corruption.