This paper introduces a new way of investigating linear and nonlinear Granger causality between exports, imports and economic growth in France over the period 1961-2006 with using geostatistical models (kiriging and inverse distance weighting). Geostatistical methods are the ordinary methods for...

This paper integrates data envelopment analysis (DEA) and artificial neural networks (ANN) to forecast the role of public expenditure in economic growth in OCDE countries. The results show that this approach is a powerful and appropriate method to forecast this role. DEA method allows us to...

The purpose of the present Evaluation Study is to discuss the methodological problems researchers are facing in gauging the impact of aid on economic growth. The discussion is nontechnical and aimed at an audience without much prior knowledge in the fields of macroeconomics and econometrics. The...

The purpose of the present evaluation study is to discuss the empirical studies that attempt to estimate the impact of foreign aid on economic growth. The study draws on a previous evaluation study (Dalgaard and Hansen, 2009), which introduces the general econometric methodology involved in...

We consider a monopolistic firm producing a good while polluting and using a fossil energy. This firm can adopt a clean technology by incurring an investment cost decreasing exponentially with the adoption date. This clean technology does not pollute and has a lower production cost because it...

This paper is an attempt to investigate the causal relationship between economic growth and combustible renewables and waste consumption for 12 countries of the Middle East and North Africa (MENA) region during the period of 1975-2008 using panel cointegration techniques and panel causality...