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The Indian Automobile Industry marked a new journey in the 1991 with the financial revolutionary New Industrial Policy Act 1991 opening automatic route which allowed the 100 per cent Foreign Direct Investment(FDI). Here, an attempt is made to find out the effect of FDI on the financial performance of Indian Automobile Industry. For this purpose, sixteen companies were selected and analysed through various financial ratios. Descriptive statistical tools like Mean, Standard Deviation and Student's paired 't' Test were used to test the hypothesis. The liquidity analysis showed little changes and profitability analyses showed an increasing trend during post FDI when compared to pre FDI. The efficiency analysis showed that the companies are efficiently utilising the available resources during post FDI as compared to pre FDI. It is concluded that foreign direct investment in India makes positive impact on the financial variables of the Automobile Companies.
International Journal of Advanced Research in Management and Social Sciences
Financial performance of Indian automobile companies after liberalization: A comparative study of Maruti Suzuki and Tata Motors2014 •
The automobile sector is the dominant player not only in India but also in the economy of the world. Due to its forward and backward linkages with several key segments of the economy, the industry has a strong multiplier effect of industrial growth. The industry has been evolving over the years, meeting up with challenges as varied as transitions, consolidations and restructuring and thereby adapting to the new market environment. The present paper measures the financial performance of two major automobile companies of Indian origin, Tata Motors and Maruti Suzuki after the policy of liberalization and reveals the comparative financial strength of both the companies under study on the basis of liquidity, efficient use of assets, profitability etc.
The automobile industry has emerged as sunrise sector in the Indian economy. It embarked a new journey in 1991 with de-licensing of the sector and subsequently opening up for 100% FDI through the automatic route. The industry produced a total 25,316,044 vehicles including passenger vehicles, commercial vehicles, three wheelers, two wheelers and quadricycle in April-March 2017 as against 24,016,599 in April-March 2016, registering a growth of 5.41 percent over the same period last year. Therefore, automobile companies have been selected for this study in order to determine their profitability during the study period. A firm's Profitability is determined by leverage, size, age, working capital, assets turnover ratio etc. Data required for the study is Secondary in nature. The secondary data have been collected from the Capitaline database from 2008-2017 for the select Motor Cycle companies. The collected data is analyzed by making use of correlation and Multiple Regression. The result reveals hat there exist relationship between age, expenses to income ratio and assets turnover ratio on profitability.
Asian Journal of Applied Science and Technology
An Analysis of the Performance of Automobile Industry in India2020 •
The paper has examined the performance of Automobile Industry in India. The paper has used secondary data for the production, exports and imports of Automobile sector for the period 2001 to 2018. The performance of automobiles has been measured by calculating compound annual growth rate, Y-O-Y growth rate of production, export share in total exports, trade balance, compound annual growth rate of exports, market share in world and revealed comparative advantage of automobile industry. The two-wheeler segment accounted for a large part of the total production of automobiles in the country and increased significantly during 2011-2018. Production of commercial vehicles also increased considerably. The domestic sale of two-wheelers gradually increased, but sales of all other vehicles increased with some variations. India has a trade surplus in total automobiles. India experienced trade deficit only in the categories ‘Motor vehicles parts and accessories’, and ‘Trailers’. The compound annual growth rate (CAGR) of total road vehicles as well as of all the vehicles decreased significantly during 2011-2018. Revealed comparative index showed that India does not have a comparative advantage in automotive exports. It showed comparative advantage only in the product category ‘Cycles, etc., Motorised or not’. Research and development activities in the production sector should be carried out in order to improve the quality of automobiles and to make them competitive in the world market. Good infrastructure facilities should be provided in the country. Government should organize training programme for the workers.
2014 •
Introduction and Purpose: The examination of FDI and its relationship with the economic growth is one of the controversial issues even after the liberalisation. But at the same time it is well recognized fact that the FDI is one of the key economic growth engines that help in fixing the numerous economic problems. Keeping into consideration a significant role played by FDI in economic development, the present study is conducted with a view to have econometric analysis of FDI in India. Data Base and Research Methodology: The study covered a period of 34 years from 1980 to 2013 and is based on the use of secondary data, which is collected from various published sources. The collected data is analyzed with the help of SPSS and E-Views. The independent sample t-test, multiple regression and ARIMA model are used. Findings and Suggestions: The significant difference exist in the FDI inflows during the pre and post-liberalization era, which
International Journal of Business Analytics and Intelligence
Financial Performance of Nifty 50 Automobile Companies in India -An Empirical Comparative Analysis2020 •
The present study is mainly based on the secondary data and the data is collected from the annual report of selected company and websites of moneycontrol.com, BSE.com etc for the period of Ten years, which ended on 31st March. The period of the study is 2009-10 to 2018-19. Edward Altman’s Z score, IGR and SGR under Du Pont analysis were used as dependent variables and profitability ratios, liquidity ratios, per share ratios, were applied as independent variables. Earlier studies applied EPS, DPS, ROCE and operating profit etc. (Suwaidan 2004, Shailesh 2013, Butalal Ajmera 2019). All the parameters have been analyzed with descriptive statistics, Karl Pearson’s correlation, Friedman test and coefficient of determination applied for its validity. EPS, DPS and Net Profit Margin have a positive impact on IGR at 84.9% (R Square). EPS, DPS, Net profit Margin, Current ratio, Quick ratio, Enterprise value/Operating revenue and Price/Book value per share have a positive impact on SGR at 82.1%. EPS, ROCE, BVPS, NP Margin, Asset turnover and Current ratio have a significant impact at 0.01 levels and Quick ratio and Price/Book value per share have significant impact on Altman Z score at 0.05 levels of selected Nifty 50 automobile companies in India for the study period.
Studies in Microeconomics
FDI and Economic Performance of Firms in India2020 •
FDI contributed positively to sales, profit, employment and wages of firms in India from 2004 to 2018. Foreign capital is complementing domestic capital well embodying technology and innovations required for expansion of domestic firms in it. Foreign promoters have played quite significant economic roles among firms across production sectors in manufacturing industry in India. Besides sales, total expenses, managerial remunerations and corporation taxes, involvement of foreign promoters are statistically significant determinants of profits, employment and wages among firms across all seven sectors of the manufacturing industry is clear from analysis of the Prowess database for years 2004, 2008, 2012 and 2014. These effects were even stronger in each of Modi–I years between 2015-2019 that followed the Make in India initiative in 2014. Reforms including the outright 100 per cent ownership provision in the automatic route in most industrial sectors have produced good outcomes that have...
International Journal of Special Education
Effect of Financial Factors on Major Automobile Companies in NSE2022 •
The aim of this study is to find the effect of financial factor on stock market at NSE-50 Index 2016-2020. The major variables that are used to measure the financial performance factor are Current Ratio (CR), Liquid Ratio (LR), and Debt to Equity Ratio (DER), Return on Equity (ROE), Return on Assets (ROA) and Return in Capital Employed (ROCE) to Stock Market index as dependent variable. Population of this study is NSE Index. Sampling method used was Random sampling. This research used descriptive statistics and hypothesis testing (correlation and Paired Test) at 5 % significance level. The result of this study shows that ROE, ROCE, ROA and DER have a negative and have not significant effect to stock return. CR & QR variable has a positive and significant effect to stock return.
2004 •
Foreign direct investment has been playing an important role in the economic development of the countries. It aims at assisting in transferring of financial resources, technology, management techniques and ideas. Due to the initiation of globalization, developing countries especially Asian nations, have been witnessing an immense surge in the flow of FDI during the last three decades. Although India has been a latecomer in the matter of FDI as compared to other East Asian countries, it has immense market potential and hence it is one of the most favourable market for FDI. This research paper is an attempt to study the impart of FDI on Indian Economy and challenges it has brought to the nation along with other forces of globalization.
HORTICULTURAL SOCIETY OF NIGERIA (HORTSON)
RESPONSE OF TOMATO (Lycopersicon; esculentum; L.) TO MULCHING AND DRIP IRRIGATION IN ILE OLUJI, ONDO; STATE, RAIN FOREST ZONE OF SOUTH WEST NIGERIA2020 •
African Journal of Clinical and Experimental Microbiology
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Funding Source, Self-Reported Conflicts of Interest, and the Interpretation of Conclusions of Phase 1, 2, and 3 Trials in Neuro-Oncology2016 •