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Given the limitation and scarcity of the natural resources and due to the important role of energy in development and growth of countries, determination of the factors affecting energy demand entails particular importance. In this paper, following the identification of the factors influencing the energy consumption, we estimate the effects of financial markets development, including development of banks and the stock market by employing variables like per capita national income and inflation, on the energy consumption and with using combinational data pattern of D8 countries in the period of 1988-2008. Results indicate the significant and positive effect of financial markets development on the energy consumption. The coefficients of banks development indicators obtained greater than stock development, that means the capital market is less developed in D-8 countries than the money market. The coefficients of energy intensity and urbanization are significant and positive too. But inflation has a negative effect on energy consumption. The results of this study emphasize the need for paying attention to the energy demand along with financial markets development in order to achieve planned economic growth.

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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.