Forecasting Firm Performance: Evidence from Romanian Furniture Firms

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The aim at this paper is to propose an econometric model for analyzing economic performance in the furniture industry in Romania, conducted on a sample of 293 firms. The net profit was considered as a dependent variable and the turnover, expenses with employees, value added, current liabilities and inventories as independent variables. Five hypotheses were proposed, tested and validated by using multiple linear regression. The most significant results show that there is a positive significant relationship between net profit and value added and a negative significant relationship between net profit and expenses with employees. Since the model has been validated statistically, we consider that it can provide useful predictions in terms of economic performance analysis in the furniture industry.

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  • Alem D.J. & Morabito R. (2012). Production planning in furniture settings via robust optimization Computers & Operations Research 39 pp. 139-150.

  • Bărbuţă-Mişu N. (2009). Modelling the Financial Performance of the Building Sector Enterprises - Case of Romania Romanian Journal of Economic Forecasting 12(4) pp. 195 - 212.

  • Bărbuţă-Mişu N. & Stroe R. (2010). The Adjustment of the Conan & Holder Model to the Specificity of Romanian Enterprises - A Local Study for Building Sector Journal of Economic Computation and Economic Cybernetics Studies and Research 44(3) pp. 123 - 139.

  • Boca G.D. (2012). SWOT analysis to improve quality management production Procedia - Social and Behavioral Sciences 62 pp. 319 - 324.

  • Budică I. Puiu S. Budică B. & Ocheţan D. (2013). Analysis of Exports of Logs and Lumber of Romania between 1989 - 2010 Economy Transdisciplinarity Cognition 16(1) pp. 101-104.

  • Bureau van Dijk Electriniques (2015). Amadeus database.

  • Burja V. & Mărginean R. (2014). The study of factors that may influence the performance by the Dupont analysis in the furniture industry Procedia Economics and Finance 16 pp. 213 - 223.

  • Carpano C. Rahman M. Roth K. & Michel J.G. (2006). International competition in mature localized industries: Evidence from the U.S. furniture industry Journal of Business Research 59 pp. 630-637.

  • Chen D. (2012). Classified boards the cost of debt and firm performance Journal of Banking & Finance 36 pp. 3346-3365.

  • Colak M. Cetin T. & Engin B. (2015). Reasons for Inability of Organizations Furniture Industry to Get into International Markets Procedia Economics and Finance 26 pp. 818 - 826.

  • Copani G. & Urgo M. (2015). Innovative flexibility-oriented business models and system configuration approaches: An industrial application CIRP Journal of Manufacturing Science and Technology 11 pp. 10-17.

  • Degryse H. de Goeij P. & Kappert P. (2012). The impact of firm and industry characteristics on small firms’ capital structure Small Bussiness Economics 38 pp. 431-447.

  • Eurostat Evidence 2015. [online] Available at [Accessed 14 June 2017].

  • Feil A.A. de Quevedo D.M. & Schreiber D. (2015). Selection and identification of the indicators for quickly measuring sustainability in micro and small furniture industries Sustainable Production and Consumption 3 pp. 34-44.

  • Ganea M. & Cârstina S. (2013). Model econometric de cuantificare a performanţei întreprinderilor româneşti Audit Financiar 10 pp. 46-56.

  • Guimaraes L.B.M. Anzanello M.J. Ribeiro J.L.D. & Saurin T.A. (2015). Participatory ergonomics intervention for improving human and production outcomes of a Brazilian furniture company International Journal of Industrial Ergonomics 49 pp. 97-107.

  • Han X. Wen Y. & Kant S. (2009). The global competitiveness of the Chinese wooden furniture industry Forest Policy and Economics 11 pp. 561-569.

  • Iritani D.R. Silva D.A.L. Saavedra Y.M.B. Grael P.F.F. & Ometto A.R. (2015). Sustainable strategies analysis through Life Cycle Assessment: a case study in a furniture industry Journal of Cleaner Production 96 pp. 308-318.

  • Jaba E. & Grama A. (2004). Analiza statistică cu SPSS sub Windows. Iași: Polirom.

  • Karabag S.F. & Berggren C. (2014). Antecedents of firm performance in emerging economies: Business groups strategy industry structure and state support Journal of Business Research 67 pp. 2212-2223.

  • Kuosmanen T. Kortelainen M. Sipiläinen T. & Cherchye L. (2010). Firm and industry level profit efficiency analysis using absolute and uniform shadow prices European Journal of Operational Research 202 pp. 584-594.

  • Lahtinen K. & Toppinen A. (2008). Financial performance in Finnish large- and medium-sized sawmills: The effects of value-added creation and cost-efficiency seeking Journal of Forest Economics 14 pp. 289-305.

  • Laitinen E.K. (2014). Influence of cost accounting change on performance of manufacturing firms Advances in Accounting incorporating Advances in International Accounting 30 pp. 230-240.

  • Maiga A.S. (2014). Assessing self-selection and endogeneity issues in the relation between activity- based costing and performance Advances in Accounting incorporating Advances in International Accounting 30 pp. 251-262.

  • Maiga A.S. Nilsson A. & Ax C. (2015). Relationships between internal and external information systems integration cost and quality performance and firm profitability International Journal of Production Economics 169 pp. 422-434.

  • Mărginean R. (2015). Valorificarea complexă a informațiilor contabile pentru analiza performanței economice în industria mobilei Doctoral dissertation Alba-Iulia.

  • Mărginean R. Mihălțan D. & Todea N. (2015). Structure Ratios of Profit and Loss Account - A Source of Information for Performance Analysis Procedia Economics and Finance 26 pp. 396-403.

  • Massote C.H.R. & Santi A.M.M. (2013). Implementation of a cleaner production program in a Brazilian wooden furniture factory Journal of Cleaner Production 46 pp. 89-97.

  • Mirka G.A. (2005). Development of an ergonomics guideline for the furniture manufacturing industry Applied Ergonomics 36 pp. 241-247.

  • Miron V.C.I. & Burja V. (2015). Reversible Impairment of Assets and the Impact on Economic performance Annals of the Constantin Brâncuși University of Târgu-Jiu Economy Series 1(2) pp. 19-24.

  • Mohamad H.H. Ibrahim A.H. & Massoud H.H. (2013). Assessment of the expected construction company’s net profit using neural network and multiple regression models Ain Shams Engineering Journal 4 pp. 375-385.

  • Neculai A. (2004). Modele de optimizare vs. Modele de simulare și econometrice Institutul de Cercetări în Informatică Centrul de Modelare şi Optimizare Avansată Available at [Accessed 12 February 2017].

  • Ng B.-K. & Thiruchelvam K. (2012). The dynamics of innovation in Malaysia’s wooden furniture industry: Innovation actors and linkages Forest Policy and Economics 14 pp. 107-118.

  • Pecican E.Ş. (2009). Econometria pentru economiști - Econometrie teorie și aplicații 3rd Edition Bucharest: Economică.

  • Pesqueux Y. (2004). La notion de performance globale. 5 Forum international ETHICS Dec 2004 Tunis Tunisia [online] Available at [Accessed at 10.03.2017].

  • Piltan M. & Sowlati T. (2015). A multi-criteria decision support model for evaluating the performance of partnerships Expert Systems with Applications article in press. [online] Available at > [Accessed 15 March 2017].

  • Roszko-Wójtowicz E. & Białek J. (2016). A multivariate approach in measuring innovation performance Zbornik Radova Ekonomskog Fakulteta U Rijeci-Proceedings of Rijeka Faculty of Economics 34 (2) pp. 443-479.

  • Sen P. Roy M. & Pal P. (2015). Exploring role of environmental proactivity in financial performance of manufacturing enterprises: a structural modelling approach Journal of Cleaner Production 108 pp. 583-594.

  • Simon-Elorz K. Castillo-Valero J.S. & Garcia-Cortijo M.C. (2015). Economic Performance and the Crisis: Strategies Adopted by the Wineries of Castilla-La Mancha (Spain) Agribusiness 31(1) pp. 107-131.

  • Tănasoiu O. & Iacob A.I. Modele econometrice Vol. I 2nd Eddition Digital library ASE [online] Available at [Accessed 10 March 2017].

  • Dubin Watson - Significance tables Appendix A [online] Available at [Accessed 15 March 2017].

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