A Research Paper on Analysis of Capital Structure Decisions of Specific Bio Power Generating Firms in the State of Andhra Pradesh and Telangana State
Sayyad Saadiq Ali1, K. Hema Divya2
1Sayyad Saadiq Ali, Research Scholar, Department of Commerce & Management, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, Pin- 522502.
2Dr. K.hema divya, Associate Professor, Department of Commerce & Management, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram,, Guntur District, Andhra Pradesh, Pin- 522502.
Manuscript received on 11 April 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 488-494 | Volume-8 Issue-1, May 2019 | Retrieval Number: A4688058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: ‘Biomass’- one of the most convenient sources of energy generation in the most populated countries like China, India etc. As the necessity of variety of food grains is growing up continuously due to the only reason of drastic increase in population globally, it directs towards upward trend in wastage generation also. By converting the biomass wastage in to the energy, it generally helps the society in dual ways that one is fulfilling the needs of energy requirements cyclically and second, environmental safeguard also. In the present study, the analyse of the capital structure decisions of few biomass energy generation companies in the state of Andhra Pradesh and Telangana State belongs to India is done. For the purpose, statistical techniques like mean, standard deviation and coefficient of variation are used. The results found that capital structure decisions have influence on performance of biomass energy generation firms of Andhra Pradesh and Telangana State.
Keywords: Capital Reserve, Paid-up Capital, Revenue Reserve, Secured Loans, Unsecured Loans
Scope of the Article: Predictive Analysis