Two-way relationship between innovation and market structure: evidence from Indian high and medium technology firms

ABSTRACT

This study analyses a two-way relationship between innovation and market structure in Indian high and medium technology firms. We perform an empirical analysis based on a simultaneous equation model on data for 991 high and medium technology firms during 2000–2015. Patent applications and patent grants capture innovation activity of the firms. We find that the market structure has an insignificant impact on innovation. A separate analysis of neck-and-neck firms also suggests that market structure has no impact on innovation. On the other hand, patenting has a positive and significant impact on market structure in both high and medium technology firms. The study concludes that in-house technology creation is a vital source of market dominance in Indian high and medium technology firms.     

TRIPs and patenting activity: Evidence from the Indian pharmaceutical industry

This paper studies the impact of the strict patent regime on the patenting activity of Indian pharmaceutical firms and finds that patenting activity of these firms has increased after the signing of TRIPs. The study is conducted for 65 pharmaceutical firms for the period 1991 to 2004 using different parametric and semiparametric count panel data models. Results across different count data models indicate a positive and significant impact of the introduction of stronger patents on patenting activity. Further, the results show a gestation lag of 2 years between R&D spending and patent applications.     

The Determinants of Firm’s Growth in the Telecommunication Services Industry: Empirical Evidence from India

The growth and evolution of the industry has an important bearing on the economic development of a country. The extant literature on firm growth provides valuable insights into firm behavior and factors influencing the evolution of the industry over time. The topic becomes even more relevant in the context of the telecommunication industry because of its positive impact on economic growth and productivity, which has been well documented in both the developed and developing country context. Based on the firm-growth literature, this study analyzes the factors influencing the growth of the Indian telecommunication industry using an unbalanced panel of 204 firms across two decades from 2000 to 2020. Dynamic Panel estimation technique (System GMM) is used to take care of endogeneity issues caused by the dynamic nature of firm growth models. Results indicate that the growth of firms in the Indian telecom services industry is explained by systematic factors like size, age, profitability, financial leverage, and trade orientation. The study finds that the larger firms grow at a decreasing rate compared to small firms. The firm's age negatively impacts the growth rate of firms, i.e., younger firms have a faster growth rate than the older ones supporting the case of convergence of firm growth in the Indian telecom services sector. Factors such as lagged R&D intensity, financial leverage, and profitability negatively impact the firms’ growth rate. Export intensity is found to have a negative and significant impact on the growth rate of the firms. The findings have important policy implications in the context of the growth of the telecommunication industry in India, which has witnessed intense competition, steep decline in profitability, and high debt structure over a period of time.

     

Unsuccessful patent application and cooperative R&;D

We show that uncertainty in patent approvals may induce the firms to do cooperative R&D. With an exogenous probability of success in patent application, we show that, if all firms apply for patents under non-cooperative R&D, the firms prefer cooperative R&D than non-cooperative R&D for moderate (high) probabilities of success in patent applications, if the cost of patenting is small (large). We also show the implications of entry of non-innovating firms and endogenous probability of success in patent applications.      

Optimal patent length and breadth in an economy with creative destruction and non-diversifiable risk

In this paper, I examine the optimal patent shape in an economy in which R&D firms innovate and imitate, households face non-diversifiable risk and there is externality in production and R&D. With non-diversifiable risk, a household’s consumption and investment decisions are interlinked. This economy contains industries of two kinds: monopoly industries with an innovator only, and duopoly industries with an innovator and an imitator. I define patent length as the expected time in which an innovation is imitated, and patent breadth as the innovator’s profit share in an industry after a successful imitation. The government can control patent length by the requirements for accepting a substitute for a patented good, and patent breadth by imposing compulsory licensing and royalties for the patentee after a successful imitation. I show that the stronger the externality in production relative to R&D is, the slower the optimal growth rate, the larger the optimal proportion of duopoly industries, and the longer and narrower the optimal patent.     

The Impact of Patents on Innovation,Technology Transfer and Health: A Pre- and Post-TRIPs Analysis of India's Pharmaceutical Industry

The debate surrounding the World Trade Organization's Trade-Related Aspects of Intellectual Property Rights (TRIPs) Agreement indicates that patents matter for development. Yet literature on the geography of knowledge transfer shows that knowledge is spatially sticky, suggesting that the impact of patents can be exaggerated. Using interview evidence, this paper explores how Indian pharmaceutical firms have responded to changes in patent law, including the introduction of more extensive patent protection in 2005 as a condition of TRIPs. A regime of limited patent protection for over three decades prior to TRIPs facilitated informal knowledge transfer and the emergence of a pharmaceutical industry with significant domestic capabilities. Contrary to some expectations, the Indian pharmaceutical industry has continued to grow post-TRIPs, with large domestic firms becoming involved in more formal technology transfer as part of an increasingly collaborative relationship with multinationals. This trend is also driven by a focus on the markets of developed countries, raising questions for the future sustainability of India's low-priced medicines. While changes in patent law can facilitate or inhibit a variety of aspects of development, the adaptation of the Indian pharmaceutical industry suggests that their impact must be related to the broader institutional setting, particularly the underlying domestic capabilities.     

Evolving Efficiency of Dually-Listed Indian Stocks: A Nonlinear Perspective

This paper examines the degree of efficiency of Indian ADRs and their underlying stocks trading in NSE/BSE from an adaptive markets hypothesis (AMH) perspective that is theoretically grounded in nonlinear serial dependence. For this purpose, the authors employ the windowed as well as the rolling hinich bicorrelation test procedures on ADRs and the underlying stocks issued by Indian firms such as, and limited to, Dr. Reddy’s Laboratories, HDFC Bank, ICICI Bank, Infosys, Wipro, Tata Motors, and Sterlite Industries. The study’s findings indicate that the degree of market efficiency witnessed at the level of individual scrips (ADRs or underlying domestic stocks) differs considerably from the degree of efficiency of the broader stock market in which such scrips trade. Further, the degree of efficiency witnessed amidst all US and Indian scrips considered for this study was found to be heterogeneous in nature and in-turn warrants a ranking approach. Lastly, the degree of efficiency witnessed in certain (not all) dually-listed Indian scrips was found to be homogenous across trading locations. However, this does not happen to be the case for all other dually-listed scrips considered for this study. The study’s findings bring to light the need for disaggregated, firm level market efficiency studies aimed at examining firm-level market efficiency at different trading locations and in-turn identifying the antecedents behind homogeneity (or lack-thereof) in firm-level market efficiency across multiple trading locations.

     

Competition and Industry Performance: A Panel VAR Analysis in Indian Manufacturing Sector

This study tries to investigate the relationship between competition and performance in a dynamic framework in the post liberalisation era with the help of Structure Conduct Performance paradigm. By employing panel VAR estimation procedure on 23 Indian manufacturing industries that comprise of BSE listed manufacturing firms, the study finds that Structure Conduct Performance paradigm does not always hold true in Indian manufacturing scenario in the post liberalisation period. This might be because with the introduction of competition in the market, the larger firms are still practising anticompetitive strategies to have a control over the market. The relationship between performance and conduct indicates that competition has not fully succeeded in eliminating the imperfections from the market.

     

Public funds and outputs in higher academic technical institutions: insights from India

ABSTRACT

This study examines the effect of public funding and its lag structure on research outputs in higher academic technical institutions of India. It contributes to the literature by providing empirical evidence on the determinants of academic publications and patents in the developing country context. We use panel data of actual yearly expenditure of 54 comparable scientific departments of the Indian Institutes of Technology from 2009–2010 to 2013–2014. The results highlight the need for increased funding for operational activities of the institutes as it is positively associated with publication and patent intensity.     

Impact of initial seeds on the growth of biotechnology startups: evidence from the U.S. and Japan

ABSTRACT

We assess the impact of initial seeds on the long-run growth of biotechnology startups, including the response of the capital market, in the U.S. and Japan. For this purpose, we collected a comprehensive dataset of the matched sample of listed firms from their foundations to the post-IPO period. We find that the quality of initial seeds predicts significantly both the level and the growth rate of the patent stock as well as those of the asset size of the U.S. startups, even controlling for their alliances and acquisitions, while it predicts only the level of the patent stock for the Japanese startups. Furthermore, the asset growth and the patent stock growth in turn account for the market value performances of the U.S. firms much more significantly than those of the Japanese firms. On the other hand, there are only small differences with respect to the time to IPO and the asset growth through the IPO. These results suggest that higher quality of initial seeds significantly enhanced long-run growth of biotechnology startups in the U.S. but not in Japan, and that the differences in fertility of the initial seeds and in efficiency of the capital market could significantly explain the difference.     

Types of patents and driving forces behind the patent growth in China

As a developing economy, China's unprecedented patenting surge is puzzling. We study China's patent surge and its driving forces using a novel and comprehensive merged dataset on patent applications filed by Chinese firms. We find that R&D investment, FDI, and patent subsidy have different effects on different types of patents. First, R&D investment has a positive and significant impact on patenting activities for all types of patents under different model specifications. Second, the stimulating effect of foreign direct investment on patent applications is only robust for utility model patents and design patents. Third, the patent subsidy only has a positive impact on design patents. The results imply that FDI and patent subsidy may disproportionately spur low-quality patents.     

Heterogeneity in learning processes and the evolution of dynamic managerial capabilities as a response of emergence of biosimilar market: evidence from the Indian pharmaceutical industry

ABSTRACT

This paper examines heterogeneity in the response of Indian firms to the emergence of a new segment in the pharmaceutical generics market – biosimilars. The necessary diversity of the knowledge base and regulatory requirements underlying biosmilar products have created significant technological capability and market access challenges for Indian firms. This is but the latest development which adds to an existing catalogue of challenges including the decline of the traditional generics markets, regulatory hurdles in advanced country markets and failures in managing new drug development. Using case studies of three Indian firms we show that dynamic managerial capability is a key driver of heterogeneity in learning processes involved in acquisition of technological capabilities for biosimilars and market access strategies. It further highlights the important role of pre-existing capabilities in enabling and constraining the development of new biosimilar capabilities.     

From Imitation to Innovation: The Evolution of R&D Capabilities and Learning Processes in the Indian Pharmaceutical Industry

Since the mid 1990s the Indian pharmaceutical industry has emerged as a leading supplier of generic drugs to both developing and developed countries.The movement of the Indian pharmaceutical industry along the R&D value chain represents a remarkable shift from an importer to an innovator of drugs. The Indian government's industrial and technology policies along with changes in regulation of intellectual property rights played a crucial role in shaping this development of R&D capability. Using the 'capability creation model' this paper discusses the learning processes and stages involved in this dramatic accumulation of technological capability. This analysis shows that the Indian pharmaceutical industry has followed a trajectory from duplicative imitation to creative imitation to move up the value chain of pharmaceutical R&D. Finally as a result of changes in patent law the industry is learning to develop capabilities in innovative R&D. The basic and intermediate technological capabilities gained from imitative learning gave these firms a solid base for development of competence in advanced innovative R&D. These findings have implications for government policies as well as firm strategies in other developing countries albeit with some limitations due to global harmonisation of patent laws being promoted by the World Trade Organization.     

Information technology innovation in India: The top 100 IT firms

Patents serve as an indicator of the innovation capability of countries, industries, or firms. Many Indian firms are in a transition to move from labor intensive segments to areas with higher value added which has been reflected in this research. The purpose of this study is to analyze patents issued during the period of 1997–2009 from the European Patent Office database and the United States Patent and Trademark Office database from the top one hundred Indian information technology firms. This study represents a novel empirical look at information technology industry innovations in India. A comprehensive set of statistical patent analyses are presented to provide practitioners with valuable knowledge to assist in business strategic planning.     

A great wall of patents: What is behind China's recent patent explosion?

China's patent surge, documented in this paper, is seemingly paradoxical given the country's weak record of protecting intellectual property rights. Using a firm-level data set that spans the population of China's large and medium-size industrial enterprises, this paper explores the factors that account for China's rising patent activity. While the intensification of research and development in the Chinese economy tracks with patenting activity, it explains only a fraction of the patent explosion. The growth of foreign direct investment in China is prompting Chinese firms to file for more patent applications. Amendments to the patent law that favor patent holders and ownership reform that has clarified the assignment of property rights also emerge as significant sources of China's patent boom. These results are robust to alternative estimation strategies that account for over-dispersion in the patent counts data and firm heterogeneity.     

Nationalizations,bailouts and efficiency

ABSTRACT

We develop a theoretical model in which there are public and private firms and a government. When firms become insolvent, the government can intervene with bailouts or nationalizations. The government only intervenes when the bankruptcy of a firm entails social costs. In this setting, we analyze how government interventions affect allocative and productive efficiency. Nationalizations of private firms after unprofitable investments lead to increased allocative efficiency despite private ownership. The effort level chosen by the managers and employees working for a firm is also affected by the possibility of government interventions, reducing the productive efficiency advantage of private firms.     

Market Value, R&D and Intellectual Property: An Empirical Analysis of Large Australian Firms

This paper considers the value of innovation to large Australian firms. Specifically, we investigate how R&D and intellectual property activity influences the market value of firms, using a Tobin's q approach. R&D data are available for the period 1994–96 and data on patent, trade mark and design applications for 1996. The findings suggest that R&D and patent activity are positively and significantly associated with market value. The results also suggest that private returns to R&D in Australia are low by international standards.     

TECHNICAL EFFICIENCY IN THE INDIAN TEXTILES INDUSTRY: A NON‐PARAMETRIC ANALYSIS OF FIRM‐LEVEL DATA

The Indian textiles industry is now at the crossroads with the phasing out of the quota regime that prevailed under the Multi‐Fiber Agreement until the end of 2004. In the face of a full integration of the textiles sector in the WTO, maintaining and enhancing productive efficiency is a precondition for competitiveness of the Indian firms in the new liberalized world market. In this paper, we use data obtained from the Annual Survey of Industries for a number of years to measure the levels of technical efficiency in the Indian textiles industry at the firm level. We use both a grand frontier applicable to all firms and a group frontier specific to firms from any individual state, ownership or organization type in order to evaluate their efficiencies. This permits us to separately identify how locational, proprietary and organizational characteristics of a firm affect its performance.     

Sunk Costs,Firm Heterogeneity,Export Market Entry and Exit: Evidence from India

This paper analyses the role of sunk costs and firm heterogeneity in firm decision to enter and exit export markets. Employing rich firm-level data on Indian manufacturing firms, the study points out that sunk costs in terms of previous export experience significantly explain entry and exit decisions of firms in the export market. The first set of analysis involves estimation of dynamic discrete choice model using random effects probit correcting for initial conditions problem. We find evidence that previous export experience (sunk costs) matters for export decision. However, importance of sunk costs is found to depreciate rapidly. Further, analysis across sub-sample of firms accounting for firm heterogeneity factors like size and product level information supports the hypothesis of sunk costs. Second set of analysis involving firm survival in export markets using discrete-time hazard models shows evidence of negative duration dependence. We observe that those firms which continue to export for few years are less likely to exit from export markets.

     

Does Firm Size make a Difference? Analysing the Effectiveness of R&D Subsidies in East Germany

We analyse the impact of public subsidies on private sector research and development (R&D) activity for a sample of East German firms. Using propensity score matching, our empirical results indicate that subsidized firms indeed show a higher level of R&D intensity (R&D expenditures relative to total turnover) and a higher probability for patent application compared with non‐subsidized firms. We find that, on average, the R&D intensity increases from 1.5% to 3.9%. The probability of patent application rises from 20% to 40%. These results closely match earlier empirical findings for East Germany. Given the fact that the East German innovation system is particularly driven by small‐ and medium‐sized enterprises (SMEs), we draw special attention to the effectiveness of R&D subsidies for this latter subgroup. Here, no specific empirical evidence is available so far. Our findings indicate that policy effectiveness also holds for private R&D activity of SMEs, with the highest increase in terms of R&D intensity being estimated for microbusinesses with up to ten employees.