This study aims to determine the effect of company Size (SIZE), Liquidity(LIQ), Growth Opportunity (GROWTH), Tangibility (TANG), dan Bussines Risk (RISK) of Capital Structure-property and real estate in Indonesia. This research is quantitative research aiming to work out a systematically explain the facts and properties in an object in the study then do the merger between related variables in it with the presentation of secondary data from the financial statements of banking companies in the country of Indonesia. The population used in this study is a banking company listed in Indonesia stock exchanges in the period 2009-2016. Research results for property and real estate in Indonesia The value of R square model is 0,589 percent means that the variation of capital structure that can be explained by the independent variables in the analysis of Size, Liq, Growth, Tang, and Risk of 58.90 percent of the remaining of 41.1 percent explained by other factors not included in this study.
The spread of COVID-19 has almost never been predicted by any part of the world. This affects most business fields in terms of global supply, world demand, and the confidence of economic actors. The spread of COVID-19 has caused several business activities which become the driving force of the economy stopped due to government policies. The stay at home policy disrupts the performance of the business field, most of which conduct physical buying and selling transactions. And it has directly impact to a negative economic growth both globally and in every region of Indonesia, including Sumatra including 10 provinces within. For this reason, a SWOT analysis is needed to determine the best strategies that can drive economic growth. This analysis based on logics to enhance Strength and Opportunities, nevertheless at the same time could minimize weakness and overcoming Threats. The results of the position of the Cartesian diagram in this study were to diversify products / technologies both e-commerce and fintech and to carry out the results of the SWOT matrix strategy. After analyzing the SWOT matrix, the results in this study were to choose the S-T strategy, namely using strength to overcome threats.
This study aims to determine the effect of Liquidity, Growth Opportunities, and Tangible Assets on the Capital Structure of Property and Real Estate Companies in Indonesia. This research is a quantitative research which aims to systematically explain the facts and properties of an object in the study and then merge between the variables associated with it by presenting secondary data from financial statements of property companies in Indonesia. The population used in this study are property companies listed on the Indonesian stock exchange in the period 2012-2016. The sample used in this study were 32 property companies in Indonesia by using the purpose sampling method to obtain a representative sample that matches the established criteria. In this study, the data analysis method used is the panel data regression method which is a combination of time series and cross sections in property companies in Indonesia. Research results for property companies in Indonesia The R square value of this model is 0.5126 which means that variations of capital structure that can be explained by the independent variables analyzed are LIQ, GROWTH, and TANG by 51.26 percent and the remaining 48.74 percent explained by other factors not included in this study.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.