All articles by Divya Narang

Determinants of cross-country mergers and acquisitions

The 21st-century corporate world has witnessed the phase of globalization. It has led to technological advancement and the removal of trade barriers across countries. This is important as the competitive advantages of different organizations differ in terms of availability of raw material, investment, technology and so on. Therefore, in order to ensure long term growth potential, organizations have started forming cross country mergers and acquisitions (M&A). In contrast to the domestic mergers, cross country mergers help businesses in realizing the scope of new market opportunities. This is evident from the rise in the volume of cross border M&A.

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E-views advantages and disadvantages

E-views is the statistical package widely used by economists, researchers and analysts for statistical analysis, forecasting and model simulations (Aljandali and Tatahi, 2018).  It is used as a menu-driven object-oriented user interface. It allows writing simple programs in E-views programming.  This package offers multi-window design features that allow automation and presentation features. This article explains the comparative analysis of E-views advantages and disadvantages in the time series and panel data analysis. The advantages and disadvantages of the E-views are considered by comparing some of the commonly used statistical packages like STATA and SPSS.

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How to perform panel data analysis in E-Views?

E- Views offer an impressive toolkit that involves the series or the group of series that allows estimating panel data analysis ranging from the simplest to the complex types.  Performing data analysis in E-views is easier to understand as all the necessary statistical modelling can be performed by estimating the regression equation.  In addition to this, E-views allows the work files or the database from MS Excel, SAS, SPSS, STATA and Text file.  These work files can be used to perform a variety of statistical E-views including unit root test for checking stationarity, GARCH tests for heteroscedasticity, autocorrelation LM test, Granger causality test and least square test for performing the linear regression as steps in panel data analysis.

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The inflow of FDI in the key industries of India

India highly depends on foreign investments in the form of foreign direct investments (FDI) to fund its economic growth (Demirhan & Masca, 2008). Amongst all the sectors, the manufacturing sector and service sector has undergone a transformation and experienced high growth rates in the past few years. However, from the data on FDI, it can be observed that few key industries belonging to these two sectors have boosted at a faster rate than the others and attracted more FDI than the others.

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Challenges of using DEA-Solver for data envelopment analysis

Data Development Analysis (DEA) was developed in 1978, as a benchmarking technique for evaluating the efficiency or performance of a group of entities (Cooper, Seiford, & Tone, 2007). DEA analysis has emerged as a powerful tool of efficiency and benchmarking-based analyses, as it uses linear programming methodology. DEA analysis remains possible over various software. However, DEA Solver is the most recent and popular software for DEA analysis. Data Envelopment Analysis using DEA Solver, which is basically an MS Excel plugin and downloadable freely from DEA solver 8.0 includes 28 clusters of DEA models (“User ’ s Guide to DEA-Solver-Learning Version,” 2015). However, there are two versions of DEA solver, free and paid versions and can compute the results for maximum 50 decision-making units (DMUs). Read more »

FDI inflow in pharmaceutical, chemical, metallurgical and textile industry of India

The Indian economy witnessed a high FDI inflow after the reform of economic liberalization. The increasing trend continued in the last financial year 2017-18. This increase can be attributed to factors such as the high rate of GDP growth, low inflation rate, exchange rate, trade openness and economic and political stability. Since 2000, the service sector and selected industries in the manufacturing sector showed significant growth and were able to attract a large fraction of the total FDI. One of the reasons due to which these industries performed well is the union budget of 1999-2000 which supported greater inflow of FDI through the automatic route  (Singh, 2005). Increased FDI in these industries has opened up new doors for better technology, management and marketing networks. Furthermore, it has generated more employment opportunities and offered a high level of competition in domestic industries (Shapiro & Mathur, 2014). Read more »

An overview of the Indian Pharmaceutical industry

The Indian pharmaceutical industry has emerged as the third largest country in the world in terms of volume with a turnover amounting to US $ 21.04 billion in 2009. In addition to this, the industry includes more than 20,000 licensed companies that employs 500,000 people (Industry, 2011). Furthermore, Indian pharmaceutical industry secured the top position among the science based industries through a range of capabilities in production and technology. In terms of market segmentation, leading 250 pharmaceutical companies have controlled 70 % of the market (PwC, 2012). Read more »

An overview of the metallurgical industry of India

The metallurgical industry has played a significant role in India’s economic growth. India produces 95 minerals, 4 fuel related minerals, 10 metallic minerals, 23 nonmetallic minerals, 3 atomic minerals and 55 minor minerals including building and another type of minerals (FICCI, 2018). The mineral production in India has shown significant growth at CAGR of 5.72% between 2013-14 and 2017-18 to reach an estimated amount of US $ 17.62 billion in 2017 -18 (Indian Brand Equity Foundation, 2018). Read more »

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