Prelims
Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook
ISBN: 978-1-83797-744-4, eISBN: 978-1-83797-743-7
Publication date: 3 February 2025
Citation
Chakraborty, C. and Pal, D. (2025), "Prelims", Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook, Emerald Publishing Limited, Leeds, pp. i-xxv. https://doi.org/10.1108/978-1-83797-743-720251013
Publisher
:Emerald Publishing Limited
Copyright © 2025 Chandrima Chakraborty and Dipyaman Pal
Half Title Page
Performance Analysis of the Indian Pharmaceutical Industry
Title Page
Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook
By
Chandrima Chakraborty
Vidyasagar University, India
and
Dipyaman Pal
Bethune College, India
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
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First edition 2025
Copyright © 2025 Chandrima Chakraborty and Dipyaman Pal.
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ISBN: 978-1-83797-744-4 (Print)
ISBN: 978-1-83797-743-7 (Online)
ISBN: 978-1-83797-745-1 (Epub)
Dedication Page
This book is dedicated to our Parents and daughter SHRINIKA
Contents
List of Figures and Tables | xi |
List of Abbreviations | xiii |
About the Authors | xv |
About the Foreword Author | xvii |
Foreword | xix |
Preface | xxi |
Acknowledgments | xxv |
Chapter 1: Introduction and the Relevance of the Study | 1 |
1.1 Introduction | 1 |
1.2 Objectives of the Present Study | 3 |
1.3 The Structure of the Present Study | 5 |
Chapter 2: Survey of Literature | 9 |
2.1 Introduction | 9 |
2.2 Survey of Literature | 10 |
2.2.1 Econometric Theoretical Literature on Efficiency and Productivity | 10 |
2.2.1.A Econometric Theoretical Literature on Technical Efficiency | 10 |
2.2.1.A.1 Parametric Approach: Stochastic Frontier Production Function Approach. | 10 |
2.2.1.A.2 Non-Parametric Approach: Data Envelopment Analysis. | 13 |
2.2.1.B Econometric Theoretical Literature on Total Factor Productivity Growth (TFPG) | 15 |
2.2.1.B.1 Measurement of TFPG Using Growth Accounting Approach. | 17 |
2.2.1.B.2 Measurement of TFPG using Parametric Approach, i.e. by Estimating Production Function or Cost Function | 18 |
2.2.1.B.3 Non Parametric Approach of Data Envelopment Analysis (DEA). | 19 |
2.2.2 Studies on Performance of the Pharmaceutical Industries in the Indian Context | 20 |
2.2.2.1 Studies on Efficiency in the Indian Pharmaceutical Industry (IPI). | 20 |
2.2.2.2 Studies on Productivity in the IPI | 22 |
2.2.2.3 Other Studies on the IPI | 26 |
2.2.3 Studies on Performance of the Pharmaceutical Industries in the International Context (Other than India) | 36 |
2.3 Conclusion | 48 |
Chapter 3: Analysis of Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry Using Firm-Level Data | 51 |
3.1 Introduction | 52 |
3.2 Methodology and Data | 58 |
3.2.1 Methodology of Estimating TE and Determining Factors of TE | 58 |
3.2.1.1 Measurement of Efficiency | 58 |
3.2.1.2 Panel Regression | 59 |
3.2.2 Methodology of Estimating TFPG and Determining Factors of TFPG | 61 |
3.2.2.1 Biennial Malmquist Index (BMI) of Productivity | 61 |
3.2.2.2 Methodology for Determining the Factors Affecting Change in TFP | 63 |
3.2.3 Methodology of Panel Structural Break | 65 |
3.2.3.1 Testing the Presence of Unit Root | 65 |
3.2.3.2 Methodology for Panel Unit Root Test | 67 |
3.2.3.3 Methodology for Testing the Unit Root Under the Presence of Structural Break | 68 |
3.2.3.4 Methodology for Testing the Presence of Multiple Structural Break | 70 |
3.2.3.5 Methodology for Panel Structural Break | 73 |
3.2.4 Data | 75 |
3.3 Results of Estimation of TE, TFPG and Panel Structural Break | 75 |
3.3.1 Estimated Results of TE and Determinants of TE | 75 |
3.3.2 Estimated Results of TFPG and Determinants of TFPG | 80 |
3.3.3 Results of Panel Structural Break Analysis | 84 |
3.4 Conclusion | 87 |
Chapter 4: Analysis of Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry Using State-Level Data | 89 |
4.1 Introduction | 89 |
4.2 Data and Methodology | 91 |
4.2.1 Methodology | 91 |
4.2.1.A Analysis of Efficiency of the IPI Using State-Level Data | 92 |
4.2.1.B Analysis of TFPG of IPI Using State-Level Data and Determinants of TFPG | 94 |
4.2.2 Data | 98 |
4.3 Result of Estimation | 98 |
4.3.1 Results of TE of Indian States | 99 |
4.3.2 Results of TFPG of Indian States | 100 |
4.4 Conclusion | 107 |
Chapter 5: Total Factor Productivity Convergence in Pharmaceutical Industry Across Indian States | 109 |
5.1 Introduction | 110 |
5.2 Methodology and Data Source | 112 |
5.2.1 Methodology | 112 |
5.2.1.1 Methodology for Estimation of TFP | 112 |
5.2.1.2 Methodology for Studying Convergence of TFPG | 112 |
5.2.1.2.1 Tests for Absolute Convergence (Sigma Convergence) | 112 |
5.2.1.2.2 Tests for Beta Convergence | 113 |
5.2.2 The Data | 115 |
5.3 Empirical Findings | 115 |
5.3.1 Results of Estimation of TFP | 115 |
5.3.2 Results on Tests of Convergence | 116 |
5.3.2.1 Findings on Sigma Convergence | 116 |
5.3.2.2 Findings on Beta Convergence | 116 |
5.3.2.2.1 Results of Panel Unit Root Tests. | 116 |
5.3.2.2.2 Results of Dynamic Panel Model Estimation | 117 |
5.3.2.2.3 Results of System Dynamic Panel Data Estimation | 117 |
5.4 Conclusion | 117 |
Chapter 6: Moving Towards a Growing Indian Pharmaceutical Industry | 119 |
6.1 Introduction | 120 |
6.2 Methodology and Data Source | 122 |
6.2.1 Methodology | 122 |
6.2.2 Data Source | 124 |
6.3 Results of Analysis | 125 |
6.4 Conclusion | 128 |
Chapter 7: Position of Indian Pharmaceutical Industry in the Global Economy | 131 |
7.1 Introduction | 131 |
7.2 Methodology and Data | 135 |
7.2.1 Empirical Procedures of Country-Level Analysis of Pharmaceutical Industry | 135 |
7.2.2 Data | 136 |
7.3 Results of Estimation | 137 |
7.3.1 Results of Growth | 137 |
7.3.2 Results of Panel Structural Break Analysis | 140 |
7.4 Conclusion | 144 |
Chapter 8: Summary and Overall Conclusion | 147 |
8.1 Introduction | 147 |
8.2 Policy Suggestions | 160 |
8.3 Limitations of the Study | 160 |
Appendix 1: Panel Analysis: Fixed and Random Effect Model | 161 |
Appendix 2: Computation of State-Level Data on Export and Import | 165 |
Appendix 3: Measurement of Different Variables | 167 |
Appendix 4: Perpetual Inventory Accumulation Method (PIAM) | 169 |
References and Further Reading | 171 |
Index | 213 |
List of Figures and Tables
Figures
Figure 2.1 | Input- and Output-Oriented Measures of Technical Efficiency | 14 |
Figure 2.2 | Measurement of TFPG | 16 |
Figure 3.1 | Mean TE of Firms | 76 |
Figure 3.2 | Mean TFPG of Firms | 80 |
Figure 3.3 | Mean TE and TFPG of Firms | 86 |
Figure 4.1 | Mean Efficiency Statewise | 100 |
Figure 4.2 | Mean TFPG Statewise | 103 |
Figure 7.1 | Growth of Export | 139 |
Figure 7.2 | Growth of Imports | 139 |
Figure 7.3 | Growth of Output | 140 |
Tables
Table 3.1 | Average Efficiency for Different Periods | 76 |
Table 3.2 | Overall Picture of Efficiency | 76 |
Table 3.3 | Estimated Results of Determinants by Panel Regression Taking TE as Dependent Variable | 77 |
Table 3.4 | Estimated Results of Determinants by Panel Regression Taking NXI as Dependent Variable | 78 |
Table 3.5 | Estimated Results of Determinants by Panel Regression Taking RDI as Dependent Variable | 78 |
Table 3.6 | Average Annual Rates of TFP Changes | 80 |
Table 3.7 | Decomposition of TFPG | 81 |
Table 3.8 | Estimated Results of Determinants by Panel Regression Taking TFPG as Dependent Variable | 82 |
Table 3.9 | Estimated Results of Determinants by Panel Regression Taking NXI as Dependent Variable | 82 |
Table 3.10 | Estimated Results of Determinants by Panel Regression Taking RDI as Dependent Variable | 83 |
Table 3.11 | Results of Panel Structural Break Analysis in TFPG at Firm Level | 85 |
Table 3.12 | Determinants of TE and TFPG of Pharmaceutical Firms in India | 86 |
Table 4.1 | Estimated values of TE | 99 |
Table 4.2 | Estimated Results of Simultaneous Equation Model: The Case of TE Equation | 101 |
Table 4.3 | Estimated Results of Simultaneous Equation Model: The Case of Net Export Intensity Equation | 102 |
Table 4.4 | Results of Estimated values of TFPG | 102 |
Table 4.5 | Estimated Results of Simultaneous Equation Model: The Case of TFPG Equation. | 104 |
Table 4.6 | Estimated Results of Simultaneous Equation Model: The Case of Market Share Equation | 104 |
Table 4.7 | Estimated Results of Simultaneous Equation Model: The Case of Net Export Intensity Equation | 105 |
Table 4.8 | Results of Panel Structural Break in TFPG at State Level | 106 |
Table 5.1 | Result of Trend Equation of SD | 116 |
Table 5.2 | Result of Trend Equation of COV | 116 |
Table 5.3 | Results of Panel Unit Root Test | 116 |
Table 5.4 | Results of Arellano-Bond Dynamic Panel Data Estimation | 117 |
Table 5.5 | Results of System Dynamic Panel-Data Estimation | 117 |
Table 6.1 | Endogenous Structural Break Analysis in All India for Different Variables of IPI | 126 |
Table 7.1 | Growth of Export, Import and Output of Different Countries | 137 |
Table 7.2 | Position of Different Countries in terms of Export, Import and Production | 138 |
Table 7.3 | Panel Structural Break Analysis Results in Case of Output | 141 |
Table 7.4 | Panel Structural Break Analysis Results in Case of Export | 141 |
Table 7.5 | Panel Structural Break Analysis Results in Case of Import | 143 |
List of Abbreviations
(X-M)/Y | Net Export Intensity |
2SLS | Two-Stage Least Square Method |
AAGR | Average Annual Growth Rate |
AE | Allocative Efficiency |
AEMPS | Spanish Agency of Medicines and Medical Devices |
AI | Advertisement Intensity |
AIFA | Regulatory Framework of The Italian Medicines Agency |
API | Active Pharmaceutical Ingredients |
ASI | Annual Survey of Industries |
BCC | Banker, Charnes, and Coope |
BMI | Biennial Malmquist Index |
CAGR | Compound Annual Growth Rate |
CMIE | Centre for Monitoring Indian Economy |
CRS | Constant Return to Scale |
CSO | Chief Science Officer |
D | Dummy Variable |
DEA | Data Envelopment Analysis |
DGCI&S | Directorate General of Commercial Intelligence and Statistics |
DMU | Decision Making Units |
E/L | Employee Per Production Worker / Composition of Work Force |
EMA | European Medicines Agency |
EU | European Union |
FDA | Food and Drug Administration |
FDI | Foreign Direct Investment |
FGLR | Färe, Grosskopf, Lindgren and Roos |
FGNZ | Färe, Grosskopf, Norris and Zhang |
GAA | Growth Accounting Approach |
GRM | Grand Mean |
HFG | High Growth Firms |
IDX | Indonesia Stock Exchange |
IPI | Indian Pharmaceutical Industry |
IPR | Intellectual Property Rights |
K/L | Capital Per Production Worker/ Degree of Mechanisation |
MF | Intermediate Inputs/ Firm Size |
MFDS | Ministry of Food and Drug Safety |
MI | Marketing Intensity |
MLE | Maximum Likelihood Estimation |
MNCS | Multinational Corporations |
MOH | Ministry of Health |
MPI | Malmquist Productivity Index |
MS | Market Share |
NHS | National Health Services |
NXI | Net Export Intensity |
OFDI | Outwards Foreign Direct Investment |
PIAM | Perpetual Inventory Accumulation Method |
PRC | People’s Republic of China |
R&D / R AND D | Research and Development |
RBI | Reserve Bank of India |
RDI | Research and Development Intensity |
REER | Real Effective Exchange Rate |
SEC | Scale Efficiency Change |
SFA | Stochastic Frontier Analysis |
SUR | Seemingly Unrelated Regression |
SUS | Sistema Único De Saúde |
TC | Technical Change |
TE | Technical Efficiency |
TEC | Technical Efficiency Change |
TFP | Total Factor Productivity |
TFPG | Total Factor Productivity Growth |
TRIPS | Trade-Related Aspects of Intellectual Property Rights |
VRS | Variable Returns to Scale |
W | Real Wage Rate |
WTO | World Trade Organisation |
YOY | Year to Year Growth Rate |
About the Authors
Chandrima Chakraborty is currently serving as an Assistant Professor in the Department of Economics, Vidyasagar University in West Bengal, India. Dr Chakraborty did her Post graduation in Economics from the University of Calcutta, India and then she obtained her M.Phil. degree and Ph.D. degree in Economics from Jadavpur University, India. Her major areas of academic interest include industrial growth, productivity and efficiency. She is also interested in environmental economics, gender issues, agricultural economics as well as health and economics of education.
Dipyaman Pal is presently serving as an Associate Professor in the Department of Economics, Bethune College, West Bengal, India. Dr Pal did his Post graduation, M.Phil. degree and Ph.D. degree in Economics from Jadavpur University, India. His major areas of academic interest include agricultural growth, productivity, volatility and efficiency. He is also interested in environmental economics and gender issues.
About the Foreword Author
Bishwanath Goldar is a retired Professor of Economics of Institute of Economic Growth (IEG), Delhi. He was a member of the National Statistical Commission and a National Fellow of the Indian Council of Social Science Research. He was a Professor at the ICRIER, during 2003–2004 and a Visiting Professor at the Centre for International Trade and Development, School of International Studies, Jawaharlal Nehru University, during 2012–2013. He is currently a Non-Resident Senior Fellow at the IEG. His areas of research interest include productivity measurement, industry, trade, foreign direct investment, energy use of industries, river water pollution, and rural water supply.
Foreword
India’s pharmaceutical industry is one of the most important industries in the manufacturing sector. It is a high-technology industry, contributing significantly to India’s merchandise exports. In contrast to petroleum refining, which is also a significant contributor to India’s merchandise exports, manufacturing of pharmaceuticals is much more job-creating. The ratio of employment to fixed capital stock in the pharmaceutical industry is about 19 times that of petroleum refining. This ratio in the pharmaceuticals industry exceeds that in manufacturing computers, another important high-tech industry, and is about half of that in textiles, a highly labour-intensive industry.
In India’s pursuit of becoming a developed country by 2047, a manufacturing-led growth strategy is at the heart of the development efforts. The expansion of India’s pharmaceutical industry, alongside significant increases in pharmaceutical product exports, will play a crucial role in India’s growth process in the next 25 years. According to Economic Survey, 2021, India’s domestic pharmaceuticals market is expected to grow from about US$ 41 billion in 2021 to about US$ 130 billion by 2030. Enhancing the competitiveness of India’s pharmaceuticals industry is essential for sustaining rapid growth, and a study of the efficiency and productivity of the industry, as done in this book, thus assumes great significance.
There are many challenges facing the Indian pharmaceutical industry. There is significant spending on research and development (R&D), but R&D intensity is relatively low compared to international standards. The number of patent applications in pharmaceuticals made with the Indian patent office increased from 2,741 in 2017–2018 to 5,622 in 2019–2020, and the number of patents granted in this area rose from 733 in 2017–2018 to 3,317 in 2021–2022. While there was a setback to the process of pharmaceutical patent applications in the years affected by the COVID-19 pandemic, the upward trend has probably resumed in the post-pandemic era.
India can produce low-cost generic medicine and provide it to the world, and it is recognised as a strategic partner in the drug discovery value chain. India has about 1,400 World Health Organization Good Manufacturing Practices (WHO-GMP)-approved pharmaceutical plants and about 250 European Directorate of Quality Medicines (EDQM) approved plants with modern state-of-the-art technology. However, many relatively small pharmaceutical plants have not been able to implement WHO-GMP. There is a problem of getting employees with requisite talent and skills, and the pharmaceutical industry is affected by a relatively high attrition rate. This factor has an impact on the efficiency and productivity of Indian pharmaceutical firms.
The book contains an excellent, careful analysis of the technical efficiency and productivity of Indian pharmaceutical firms using sophisticated econometric methodology. By examining several vital issues, the book enhanced our understanding of the performance of the Indian pharmaceutical industry and what is needed for performance improvement. Some of the interesting questions examined in the book include the impact of the product patent regime on firm performance and the state-wise differences in the productivity performance of pharmaceutical firms. The book will be of immense value to policymakers, industry experts and scholars. Post-graduate students and researchers will find the empirical applications of efficiency and total factor productivity measurement methodologies useful for their studies.
Bishwanath Goldar
Non-Resident Senior Fellow
Institute of Economic Growth, Delhi
Preface
Pharmaceutical industries have been a favourite sector for policy makers and academicians in both developed and developing countries. Indian pharmaceutical industry (IPI) is the major source of low-cost, quality drugs in the global market. It is imperative to assess its performance.
IPI has developed currently as the active as well as most eminent one, worthy of special consideration. IPI has emerged as the major source of low-cost, quality drugs in the global market. As medicines serve the population with safe well-being, it is favoured for policies in both the advanced and less advanced countries.
The scenario of IPI has changed over time. Till 1970s, about 70% of the Indian market was controlled by the foreign firms and the Patent Act of 1911 dominated IPI (Chaudhuri, 2005). Indian drug prices were very high. But with the modification of the Indian Patent Act 1970, medicine prices in the country declined. Fascinatingly after 1970, the global market recognised IPI with the introduction of process patents.
With the trade liberalisation and the signing of trade-related aspects of intellectual property rights (TRIPS) agreement, substantial changes occurred in the industry. IPI started a complete product patent regime since 2005. This enactment of the Product Patent Act is another milestone in this regard, which considerably changed the scenario and IPI became the frontrunners among the generic drugs producer. Thus, companies were unable to reverse engineer & produce new drugs invented abroad & protected by patents (Chaudhuri, 2005).
Therefore, to encounter the emergent challenge of global competition, enhanced efficiency and productivity of IPI are indispensable. The efficiency and productivity gained extraordinary prominence as in persistent economic slowdown only efficient firms are expected to withstand and develop.
The IPI holds a significant place in the global economy. The IPI is ranked 3rd in the world for producing medicines by volume. The country through the pharma sector is considered to be one of the most valuable nations.
Therefore, to encounter the emergent challenge of global competition, enhanced efficiency and productivity of IPI are indispensable. The efficiency and total factor productivity growth (TFPG) per se has assumed a very high importance in view of the fact that only efficient firms are likely to sustain and grow during a period of all pervasive economic slowdown.
The success of the pharmaceutical industry in India has allowed the country to not only meet these needs but also to export its expertise and knowledge to other countries, helping to improve global health and well-being. Overall, the growth and success of the pharmaceutical industry in India is a testament to the hard work and innovation of its companies and workers, and the important role they play in addressing some of the world’s most pressing healthcare challenges.
The commitment to produce high-quality medications, while adhering to strict rules and regulations, using the expertise and innovation to address the healthcare needs of people everywhere has helped to achieve success in the IPI and to make a positive difference in the lives of people around the world.
This deserves analysis of efficiency and productivity of IPI, identification of different factors encouraging efficiency and productivity as well as the variables deterring efficiency and productivity. Also, it is needful to understand the global position of IPI in order to achieve growth and sustainable solutions for IPI around the world.
In view of the above perspective, the present book tries to touch upon a range of issues which may be considered as important as well as critical in analysing the performance of IPI in the context of global economy.
There are seven chapters in this book. Brief sketch of all the chapters is presented below:
Chapter 1: Introduction and the Relevance of the Study
Chapter 1 contains the introduction of IPI and its position in the global economy. Then the relevance of the present study will be discussed.
Chapter 2: Survey of Literature
Chapter 2 discusses survey of literature on pharmaceutical industry in India and across the globe. It discusses the existing study highlighting the gaps and presents the connection of the present study with the existing literature.
Chapter 3: Analysis of Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry Using Firm-Level Data
Chapter 3 estimates efficiency and productivity of IPI using non-parametric method of data envelopment analysis (DEA) approach. For doing that it measures output-oriented technical efficiency of IPI and total factor productivity growth considering each firm as a decision-making unit. Also, the factors behind the variation in technical efficiency and total factor productivity growth are identified using panel regression. Another important contribution of this chapter is that it verifies the presence of structural breaks, if any, in the total factor productivity growth series at firm level by using panel structural break methodology.
Chapter 4: Analysis of Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry Using State-Level Data
Chapter 4 investigates the performance of IPI using state-level data. It looks at the performance of pharmaceutical industries in major Indian states. It estimates technical efficiency and total factor productivity growth of Indian states. This chapter helps to compare the Indian states as well as to identify the position of the major states in terms of pharmaceutical industries. Also, the major factors responsible for variation in technical efficiency (TE) and TFPG of IPI are found using a panel regression. Another important contribution of this chapter is that it verifies the presence of structural breaks, if any, in the total factor productivity growth series at state level by using panel structural break methodology.
Chapter 5: Total Factor Productivity Convergence in Pharmaceutical Industry Across Indian States
Chapter 5 tries to understand whether total factor productivity of pharmaceutical industry across the major states of India converges or not in terms of sigma and beta convergence by employing the conventional sigma convergence as well as the modern panel data approach of beta convergence.
Chapter 6: Moving Towards a Growing Indian Pharmaceutical Industry
Chapter 6 considers that IPI is one of the few industries which have been affected in a major way due to TRIPS agreement as from the year 2005 the existing process patent regime gave way to the product patent regime although the process of establishing a new patent regime in India started since 1995. In such an environment, it will be interesting to examine whether there has been any improvement in the performance of IPI after 1995, i.e. after the period of first version of the product patent regime. For this econometric analysis has been carried out for some selected variables like output, employment, productivity of labour, productivity of capital, capital labour ratio, export intensity, export price, import intensity and price by applying a recent development using unit root test to estimate the break point of these major variables using All India level data. This chapter clearly identifies the variables whose performance are satisfactory and other showing relatively poor performance and hence needs special attention.
Chapter 7: Position of Indian Pharmaceutical Industry in the Global Economy
Chapter 7 examines the performance of IPI and pharmaceutical industries of leading countries namely the United States, China, Germany, Japan, Ireland, Switzerland, France, Italy, Belgium, United Kingdom, Spain, Brazil, Canada, South Korea and the Netherlands. This chapter looks at the trends of three lead variables namely production, export and import of IPI and pharmaceutical industries of leading countries and tries to compare IPI with the other countries in terms of the above three variables and thus helps to identify the position of IPI in the global context. Also, this chapter verifies the presence of structural breaks, which may appear due to changes in economic regime over time, in the different series of production, export and import using panel structural break methodology.
Chapter 8: Summary and Overall Conclusion
Chapter 8 summarises the whole study and makes the concluding observations on each of the seven chapters and recommends some policies for the betterment of the pharmaceutical industries in the Indian states and for IPI as a whole.
The purpose of the study is to improve IPI and to raise awareness among the stakeholders and institutions, and among the Indian planners to take care to remove economic backwardness of the country and to make it a developed economy, equal development across different firms such that the people of weaker segments benefit from the country’s economic progress. Thus, to reduce firm-level disparities the knowledge about the growth performance of different firms and the firms which are lagging behind are very much needed. Along with it state level analysis of Indian states will be helpful for interstate comparison and special care may be taken for the lagging states. The evaluation of IPI in the global economy, i.e. to understand the global position of IPI may lead to more developed IPI and sustainable one and may help to upsurge the rank of IPI with respect to the global economy.
We hope that the book will provide immense knowledge base to post graduate students, industry people, researchers and faculty members around the globe related to various subjects such as Economics, Industrial Economics; Medicine, Pharmacy, Health economics, Biotechnology, Microbiology, Business & Management among others. The volume will also be helpful for policy makers, multi-nationals and government officials as well as the general readers interested in the field.
Chandrima Chakraborty
Dipyaman Pal
The Authors
Acknowledgements
With extensive hard work on the stages from submission of the book proposal to final submission of the proposed book titled, Performance Analysis of the Indian Pharmaceutical Industry: A Global Outlook, it is an abundant pleasure for the authors as well as everyone related that the book is now published.
In carrying out the entire project, the help and support of different organisations, academicians and other members of the society who are directly or indirectly associated to the project cannot be forgotten.
First and foremost, we must acknowledge the cooperation and support of the Emerald Publishing Ltd. team for approving the proposal and continuously guiding us at all stages of developments of the book.
Secondly, we are highly grateful to Prof B. N. Goldar for his valuable contribution and adding to the existing literature through his foreword.
Thirdly, we are indebted to our little daughter, Ms Shrinika Pal for the support and sacrifice in carrying out this lengthy project.
At last but not in least, we would like to thank everyone who helped and motivated us to work on this project.
Chandrima Chakraborty
Dipyaman Pal
- Prelims
- Chapter 1: Introduction and the Relevance of the Study
- Chapter 2: Survey of Literature
- Chapter 3: Analysis of Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry Using Firm-Level Data
- Chapter 4: Analysis of Efficiency and Total Factor Productivity Growth of Indian Pharmaceutical Industry Using State-Level Data
- Chapter 5: Total Factor Productivity Convergence in Pharmaceutical Industry Across Indian States
- Chapter 6: Moving Towards a Growing Indian Pharmaceutical Industry
- Chapter 7: Position of Indian Pharmaceutical Industry in the Global Economy
- Chapter 8: Summary and Overall Conclusion
- Appendix 1: Panel Analysis: Fixed and Random Effect Model
- Appendix 2: Computation of State-Level Data on Export and Import
- Appendix 3: Measurement of Different Variables
- Appendix 4: Perpetual Inventory Accumulation Method (PIAM)
- References and Further Reading
- Index