DETERMINANTS OF FINANCIAL PERFORMANCE OF NON-FINANCIAL SECTOR: EVIDENCE FROM PUBLIC TEXTILE SECTOR OF SYRIA.

descriptionPublicationkeyboard_double_arrow_right Article 31 Jul 2018Publisher:International Journal Of Advanced ResearchJournal:International Journal of Advanced Research, volume 6, pages 167-178 (eissn: 2320-5407,

Copyright policy )

Authors: Dania Ebrahem Ghaia; Radwan Al - Ammar.;

doi: 10.21474/ijar01/7348 , 10.5281/zenodo.1346738 , 10.5281/zenodo.1346739

DETERMINANTS OF FINANCIAL PERFORMANCE OF NON-FINANCIAL SECTOR: EVIDENCE FROM PUBLIC TEXTILE SECTOR OF SYRIA.

- Summary
- Subjects
- Metrics

Abstract

The objective of this study is to examine the determinants of financial performance of public textile firms in Syria. The analysis of present study is based on unbalanced panel data of 7 public textile firms for the period 2000-2016. Panel multiple regression analysis is used for estimation. The empirical results show that debt financing has a negative and significant effect on profitability of public textile firms operating in Syria, while both company size and sales growth have a positive and significant effect on financial performance.

Related Organizations

Tishreen University
Syrian Arab Republic

Keywords

Textile Sector Financial Performance Financing Decisions Investing Decisions Syria.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average