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Foreign firms have certain advantages which may spillover to domestic firms in the form of improvements in total factor productivity (TFP) growth. The purpose of this paper is to empirically observe the presence of TFP spillovers of foreign direct investment (FDI) to domestic firms through analyzing source of TFP growth in Indian drugs and pharmaceutical industry.

This paper examines the sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry over the period 1999 to 2014. The data of 304 firms has been used for estimation of the growth rates of TFP and its sources under stochastic frontier analyses based Malmquist productivity index framework. For frontier estimation, the Wang and Ho (2010) model has been executed using translog form of production function.

The results show that there exists significant TFP spillover effect from the presence of foreign equity in drugs and pharmaceutical industry of India. The results also show that the major source of TFP fluctuations in the said industry is managerial efficiency that has been significantly affected by FDI spillover variables. In sum, the phenomenon of significant Intra-industry (horizontal) efficiency led productivity spillovers of FDI found valid in case of Indian drugs and pharmaceutical industry.

The number of foreign firms is very less to imitate the significant impact of foreign investment on TFP growth of Indian pharmaceutical industry at aggregated level; and the Wang and Ho (2010) model is failing to capture direct impact of FDI on technological change under Malmquist framework.

Since, there exists dominance of domestic firms in Indian drugs and pharmaceutical industry, the planners should follow the policy which not only attract FDI but also benefit domestic firms; for example, developing modern infrastructure and institution which will further help domestic firms to absorb spillovers provided by the Multinational Corporations and also accelerate the growth and development of the economy.

In no case, the foreign firms should dominate the market share otherwise the efficiency spillover effect will be negative and the domestic firms will be destroyed under the self-centric approach of foreign firms protected by the recent patent laws.

The study is a unique attempt to discuss the production structure and sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry with such a wide coverage of 304 firms over a period of 16 years under Wang and Ho (2010) model’s framework. The existing studies on TFP spillovers are using either a small sample size of firms or based upon traditional techniques of measuring spillover effects.

The purpose of this paper is to examine the trade performance, revealed comparative advantage and trade specialisation indices of Indian pharmaceutical in the post-modified Indian Patent Act.

The main data sources for this paper are United Nations Conference on Trade and Development, PROWESS of Centre for Monitoring Indian Economy, Government of India reports and Reserve Bank of India databases. Revealed comparative advantage index (RCAI) and trade specialisation coefficient (TSC) have been calculated in the study.

India is ranked third in regard of TCS, far behind Ireland and Israel. While Ireland has moved up the value chain faster after 1995, Israel has moved up swiftly after 2000 through global production network and supply chain. The Indian pharmaceutical industry, on the other hand, has largely capitalised on its low-cost production of generic drugs and a large domestic market. The RCAI also supports the results of TSC. India is positioned at 11th place, far behind Ireland, which stands tall at the top with distantly followed by Israel, Switzerland, Belgium, the UK, etc.

The study shows the policy implications for future sustainable development of the industry as the new IPR regime has given opportunities as well as threats to both domestic pharmaceutical companies as well as the multinational corporations. The Indian pharmaceutical industry can be a good learning experience for other developing countries hopeful to enter the global market for generic drugs.

There are no major studies providing detailed analyses of India’s comparative advantage vis-à-vis other leading exporters of pharmaceutical products in the world. This study endeavours to fill this gap. It also attempts to capture recent trends in exports and imports during the global recession period.

This study aims to access, analyze and highlight opportunities and problems of the Indian pharmaceutical sector in the broader national health-care industry. The recent changes in the field, at the institutional and corporate levels, have placed India in the spotlight of the global pharmaceutical market, but several threats and weaknesses could limit this expansion.

Descriptive and inferential analyses have been based on empirical data extracted from authenticated data sources. Subsequently, a narrative strengths, weaknesses, opportunities and threats analysis was performed based on the results of prior investigations and on qualitative data that were retrieved from a marketing intelligence examination to generate an overall scenario analysis.

Indian pharmaceutical companies have faced several challenges on various fronts. In the home market, drug prices are controlled by the drug price control order; therefore, there is strong pressure on revenues and subsequently on costs. In the international market, threats derived from pharmaceutical multinational companies are emerging as tough obstacles to overcome.

More focus on patents for innovative drugs is required, instead of concentrating primarily on generic drugs. There is a need for policymakers to work on the sustainability and development of the industry, while the companies must redesign their orientation toward enhancing innovation capabilities. In addition, at the level of corporate strategy, firms should establish collaborations and alliances and expand their industrial marketing vision.

This study provides a global overview of the potential growth and development of the Indian pharmaceutical sector, comparing it with internal trends and external competition. The most relevant contribution of the research relies on the shift to innovative production that Indian companies must adopt (after years of focusing only on generic drugs), and in this vein, appropriate industrial marketing solutions are indispensable.

This paper aims to present structural changes and trade competitiveness in Indian pharmaceutical industry in pre and post product patent regime. The study shows the impact of product patent on market structure, ownership, trade, revealed comparative advantage, R&D and mergers and acquisitions.

The study is based on secondary data and extensive relevant conceptual and empirical literature review.

The study finds that this oligopoly Indian dominant pharmaceutical industry has many challenges ahead such as in R&D expenditure, patent expiration of many major drugs manufactured in Ireland, growing competition in generic global market, bulk drugs dependence on China, rise in the number of M&As, rising costs of new drug discovery and tightening safety and efficacy testing requirements. The smaller firms are likely to act as the contract manufacturers for medium and bigger companies at a lower value chain. The Normalised Revealed Comparative Advantage (NRCA) index was calculated for top exporters of pharmaceutical. It was found that NRCA index of IPI has shown deterioration from 1996 to 2005 and thereafter, improvement except in the year 2009. Switzerland, Belgium and Ireland are the top three countries in NRCA index, which are followed by Germany, the UK and France.

It attempts to capture recent trends in market structure, comparative advantage indices, R&D, trade, M&A and ownership, especially in new IPR regime. There is a dearth of studies providing detailed analyses of India’s comparative advantage vis-a-vis other leading exporters of pharmaceutical products in the world. The paper would be of value to practitioners and scholars interested in structural changes of IPI, especially in product patent regime. The findings have significant implications for managers and government for future policymaking.

This paper aims to analyze the firm level determinants of profitability of Indian drug and pharmaceutical industry which is known for historically weak R&D initiatives.

The change in the economic environment brought out by the Trade-Related Intellectual Property Rights (TRIPS) compliance, this industry was found to have fast adjusted to a new working environment by substantially modifying its strategies. This study aims at using inflation-adjusted panel data for a period 2000-2013 and applies the fixed effects regression model with cluster standard errors.

The study has found that export intensity, A&M intensity, firm’s market power and stronger patent regime dummy have exercised positive influence on profitability. The negative and statistically significant influence of R&D intensity and raw material import intensity points to the need for firms to adopt suitable investment strategies.

The study suggests that firms are required to pay far more attention to optimize their operating expenditures, advertisement and marketing expenditures and improve their export orientation, as part of the long-term strategy.

This study uses a recent data-set to analyze the firm level profitability determinants in the Indian pharmaceutical industry and captures the effect of change in profitability pre and post-TRIPS.

Foreign firms and domestic multinationals have certain internal advantages which may spillover to domestic firms. However, due to heterogeneity across multinationals, it is not necessary that the effect of the spillovers generated by the foreign firm and that generated by the domestic multinational be similar. The purpose of this paper is to empirically find out if the spillovers generated are similar or different in nature.

The study's results are based on a panel regression analysis of 578 firms in the Indian pharmaceutical industry from 1995‐2006. Fixed effects as well as the Levinsohn Petrin methodology are used to analyze the research question.

The paper finds that there are differences in the characteristics of foreign firms and Indian multinationals. It also finds differences in the research and development (R&D) spillover effects from foreign firms and those from Indian multinationals. The knowledge or R&D spillover effect of foreign firms on domestic firms is found to be negative, which is interpreted as movement of labor to foreign firms. Indian multinationals seem to have no spillover effect on domestic firms in the Indian pharmaceutical industry. The study also finds that the presence of foreign firms in the Indian pharmaceutical industry has not had a productivity hampering effect on domestic firms. Finally, the study finds some evidence to believe that spillovers in the Indian pharmaceutical industry may vary with size of the domestic firm.

There are very few papers in literature that empirically try to find similarity or differences between spillover effects due to foreign firms and those due to domestic multinationals. The study also tries to discern if these spillovers vary with respect to the size of the domestic firm.

Pharmaceutical industry is one of the sunrise industries in the Indian manufacturing sector. It has flourished in the recent past. This chapter makes a comparative analysis of the productivity growth of Indian pharmaceutical industry using production function approach and adopting two distinct measures of labour input and also explains whether the growth and productivity is eco-friendly or not. Annual Survey of Industries (ASI) data is considered as data base and the time period 1980–1981 to 2016–2017 is considered which is sub-divided into four periods (1980–1981 to 1989–1990; 1990–1991 to 1999–2000; 2000–2001 to 2009–2010; and rest of the period). The pattern of result for both the measures are more or less in the same direction. A remarkable growth in total factor productivity (TFP) is observed after the initiation of new economic policy for both the method used. So far as the environmental issues are concerned, this industry seems to have been polluting the environment, as per unit use of energy is increasing over time.

The purpose of the current paper is to examine the nature of profit persistence and to estimate the dynamic relationship between research and development (R&D) intensity and firm profitability in the Indian pharmaceutical industry.

A dynamic panel data model with generalized methods of moments (GMMs) technique has been deployed to estimate the relationship between R&D intensity and performance. Arellano and Bond (1991) estimation methodology has been used to generate the estimates. A sample of 55 publicly listed firms operating in the Indian pharmaceutical industry for the period 2005-2014 has been considered.

The study finds moderate to heavy profit persistence in the Indian pharmaceutical industry. The study also finds that there exists a positive relationship between R&D intensity and performance for the Indian pharmaceutical Industry. The results hold even after considering two separate measures of profitability – return on assets and return on sales. The results also hint at a possible non-linear relationship between R&D intensity and profitability.

The results highlight positive profit persistence among pharmaceutical firms. The results also highlight the need for a sustained investment in R&D, as its benefits are driven in the long run. Thus, managers should devise proper policies R&D investments. Also, prospective entrants should properly study the existing entry barriers before deciding upon the mode and timing of entry.

The degree of profit persistence and the dynamic nature of relationship between R&D intensity and firm performance in the Indian pharmaceutical sector has not been studied. Thus, this paper fills this gap and also highlights the impact of certain firm- and industry-specific variables on profitability.

This research investigates the top five pharmaceutical companies in India to determine whether their financial structures are sound and if they face the risk of bankruptcy, highlighting the potential contribution of intellectual capital (IC) to financial stability.

The analysis outlines operating ratios, profitability ratios, possibility of bankruptcy (through Z-scores) and attractiveness of the financial structure (through the F-score), with consequent focus on (IC).

The financial structure of the selected companies seems stable. Changes in the Indian pharmaceutical scenario, above all, regarding the patent system, will force the companies to consider the impact of IC carefully.

Indian pharmaceutical companies need sustainability and development, with increasing focus on patent issues. To enhance innovation capabilities and overcome international competition, they should redesign their business orientation towards IC, mainly when impacting patents.

Using established approaches for predicting potential bankruptcy, this study focuses on the financial performance of top Indian pharmaceutical companies. IC can support financial stability, and this study provides further perspectives for managing their financial structure, both statically and dynamically.

The purpose of this paper is to empirically study the impact of product patent regime on the productivity of different categories such as ownership, R&D, size and product-wise of Indian pharmaceutical firms using non-parametric data envelopment analysis.

The present study has applied Ray and Desli’s Malmquist productivity index and its decomposition to measure total factor productivity (TFP) change, pure technical efficiency change, scale efficiency change and technical change under variable returns to scale (VRS) technology assumption for 141 Indian pharmaceutical firms during 2000-2001 to 2014-2015.

The study found the negligible impact of product patent regime on productivity. The technological change has played a positive role in the growth of productivity, whereas technical efficiency change depicts the judicious utilization of resources for improving performance. From the results, it is found that R&D intensive firms depict better stability in the TFP than the non-R&D firms. However, Granger causality between R&D and productivity found no relationship. Productivity is more directly affected by investment in fixed assets rather than in R&D, which focusses on incremental value additions in a largely branded/plain generic product market. In case of ownership, private foreign firms found to have registered progress in TFP while others have recorded marginal regress, which probably could be attributed to the superior marketing and management skills of the foreign firms, besides possessing proprietary technology. Both small and large firms have shown positive growth in the new regime as compared to the pre-patent regime. These small firms are able to compete with large firms because of their up-gradation of the technological base by improving access to better foreign technology. TFP growth for all the firms can be attributed to improvement in technology, and innovation in terms of high capital-output ratio. Further, the paper tried to identify the determinants of productivity from panel random effect regression, and it is found that export intensity, age and the new patent regime have negative and significant relationship with productivity, whereas other variables such as R&D, ownership, size and capital imports are insignificant. In the end, the results of sensitivity analysis have confirmed the validity of the selected variables.

The results suggest that Indian pharmaceutical firms need substantive improvement in TFP by improving managerial and scale efficiency. Indian pharmaceutical industry (IPI) needs to improve productivity across the network and drive cost excellence initiatives across the spend base through operational excellence and digital initiatives. The results of this paper can be applied in framing policies for future growth and improvement in the productivity of IPI.

The paper aims to make several new contributions to the existing literature. Most of the research papers only analysed TFP of the industry as a whole and detailed firm-wise analysis is needed to capture the true impact at a unit level. This study has analysed the impact of different categories such as ownership, R&D, size and product-wise, and determinants of productivity. The study has used a broader time period and larger panel data to predict the better picture.