Study on Net Investment in the National Economy in 2017

As we know, economic growth can be achieved either on the account of consumption or on the account of investment, access to community funds or the middle, mixed, by establishing realistic proportions between consumption and investment so as to ensure an increase in the level of living as well as increasing job-creating investments to absorb the unoccupied population, to create a wider tax base and much more. In this article I made a study on the net investments made in the national economy that were materialized in new construction works, the purchase of machinery, including means of transport, as well as other expenses that are made in this field. Also, referring to housing construction, it was mentioned how it evolved in the fourth quarter of 2017 as compared to 2016, how it evolved throughout the year, and especially how these investments materialized in finished work on environments residence and funding resources, with the emphasis being on the fact that there is a higher share of urban investment in the construction of housing. Further analysis of the housing completed by development regions was made, emphasizing that Bucharest-Ilfov, the North West and the North-East area were the most active in developing such investments. In the study, the authors used a series of data published by the National Institute of Statistics, revealing on the basis of series of data and graphic representations the issues discussed in this article. It is revealed that in principle these investments have increased with the exception of the fourth quarter of 2017, when compared to the same quarter of 2016, both in urban and rural areas but also in the use of private and public funds – have registered some decreases. Probably this is also due to the fact that climate factors, temperatures, and so on. did not make it possible to use the possibilities of continuation of construction works. The study is balanced and reveals successive developments in this area, based on seasonally adjusted gross or series data.