CORRELATIONS BETWEEN FINANCIAL INDICATORS OF COMPANIES AND SUSTAINABLE DEVELOPMENT INDICATORS

One of the main objectives of sustainable development is to improve living standards and obtain a friendlier business environment, by increasing their competitiveness and performance and the main goal of companies are to achieve a productive activity that ensures their short-term success, but also to pay attention to long-term survival. This analysis was performed to assess the influence of financial indicators of companies and their contribution on the sustainable development of the North-West region of Romania. The research follows the evolution of sustainable development and financial indicators of the sample of 37 companies listed on the BSE, with data collected from 2008-2019, covering the following sectors according to their BSE classification: manufacturing, trade, hotels, construction. In this paper is used both qualitative and quantitative research methods. Among the qualitative research methods used it can be mentioned: observation, comparison and analysis of data. The econometric analysis is based on the estimation of a panel data regression technique and the decision between the random effects model and the fixed effects model was based on the Hausman test. The microeconomic indicators used to analyse the connection with the indicators of sustainable development of the North-West region of Romania are turnover, net profit and the average number of employees used as independent variables and the indicators selected based on information provided by the National Institute of Statistics for the North-West region, called Territorial Sustainable Development Indicators, are the following: Regional Gross Domestic Product, GDP per inhabitant, economically active population, the employment rate of the working age population, the job vacancy rate and the unemployment rate used as dependent variables. The results of the correlation analysis of the parameters showed a weak, insignificant influence between the financial indicators and the sustainable development indicators, the observed data do not allow the identification of a valid linear model.