The paper plans to analyze the evolution and structure of trade of the Republic of Moldova between 2005 and 2015, its weight correlated with that of other important trade partners and its potential for development. In the first part we will make a comparative analysis between the overall exports and imports of Moldova towards the EU and CIS, also from a perspective of evolution and structure. We want to see the main categories of products that are exported from Moldova and also the main products that are imported and how this trade changed according to the legislation. We shall also develop an index of dependency of Moldova towards these economic zones and its evolution. In the second part we shall focus on the structure and evolution of trade of Moldova with The Russian Federation and Ukraine in order to analyze their weight but also the degree of economic cooperation between the countries. We are also interested to see which are the most important categories of products, that are traded between these countries and how were they affected by the relation of Moldova with the EU. In the third part we will analyze the overall trade of Moldova with Romania, measuring the evolution of the weight of Romanian exports and imports from and towards Moldova and the changes in their structure. An objective will be to set a theoretical optimum level of development in order to set a level of trade which could support a strong and sustainable economic development between the two countries.
The following study is, in addition to a reassessment of literature and an analysis based on non-parametrical techniques based on linear programming. The analysis based on the Data Envelopment Analisys (DEA) technique will be used to see whether the model that we have used has a significant importance, if there are any substantial differences between the efficiency scores obtained or estimated through various methods. The theoretical part, based on the DEA technique will be analysed under the influence of both the works of Farell(1957), and also Charnes, Cooper, Rhodes(1978), Banker, Charnes, Cooper(1984) and other newer models. The dissolution of efficiency scores obtained through the CRS-DEA model has been studied for a long time into two different components: One is linked with the scale inefficiency and the other one represents the pure technical inefficiency. This dissolution can be done by using the CRS model with technology when not all the companies are operating at the optimum level, i.e. through the simultaneous application on the same set of data of the CRS and VRS models. In this study, the main non-parametrical Data Envelopment Analysis method is presented (Wu, Fan, Zhou, Zhou, 2012; Halkos, Tzeremes, 2009) and its application on a group of 42 companies (The headquarters of a top commercial bank in Romania - S.C. BRD GROUPE SOCIÉTÉ GÉNÉRALE ), based on the information gained in the years 2016-2017. This paper is original because it combines the already developed method with new techniques, in order to link together economic factors and operational research and leaves more room for future researches with the purpose of further assessing and changing the performance of every decisional unit under the influence of the environmental factors.