Prelims
ISBN: 978-1-80382-612-7, eISBN: 978-1-80382-611-0
Publication date: 23 May 2023
Citation
Das, R.C. (2023), "Prelims", Growth and Developmental Aspects of Credit Allocation: An inquiry for Leading Countries and the Indian States, Emerald Publishing Limited, Leeds, pp. i-xxvii. https://doi.org/10.1108/978-1-80382-611-020231013
Publisher
:Emerald Publishing Limited
Copyright © 2023 Ramesh Chandra Das
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Growth and Developmental Aspects of Credit Allocation
Title Page
Growth and Developmental Aspects of Credit Allocation: An inquiry for Leading Countries and the Indian States
RAMESH CHANDRA DAS
Vidyasagar University, India
United Kingdom – North America – Japan – India – Malaysia – China
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First edition 2023
Copyright © 2023 Ramesh Chandra Das.
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ISBN: 978-1-80382-611-0 (Online)
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Dedication
To my parents
Contents
List of Figures and Tables | xiii |
List of Abbreviations | xvii |
About the Author | xxi |
Foreword | xxiii |
Preface | xxv |
Chapter 1: Historical Perspectives of the Countries | 1 |
Introduction | 1 |
Credit Histories of the Countries | 4 |
United States of America | 4 |
United Kingdom | 6 |
Germany | 6 |
France | 8 |
Poland | 9 |
China | 10 |
India | 11 |
Brazil | 12 |
South Africa | 13 |
Indonesia | 14 |
Data Source | 15 |
Phase-wise Presentation of the Key Variables | 16 |
Major Objectives of the Book | 20 |
Listing of the Chapters | 20 |
Summary | 21 |
References | 21 |
Chapter 2: Trends of the Variables and Descriptive Statistical Analysis | 25 |
Introduction | 25 |
Trends of GDP, Credit and HDI of the Countries | 26 |
The Grounds of German Crisis in the Late 1990s | 29 |
Descriptive Statistics on GDP, Credit and HDI | 29 |
Mean and SD of GDP of the Countries | 32 |
Mean and SD of Credit of the Countries | 32 |
Mean and SD of HDI of the Countries | 34 |
Computing the HDI | 36 |
Correlation Analysis of Credit Vis-á-Vis GDP and HDI | 38 |
Summary | 39 |
References | 40 |
Chapter 3: Issues of Non-Performing Assets, Security Investments Vis-á-Vis Credit, GDP and HDI | 41 |
Introduction | 41 |
Theoretical Structure | 43 |
Credit creation Mechanism | 43 |
Channelization of Deposits | 45 |
Trends of Credit, NPA and Security Investments of the Countries | 46 |
Mean and SD of NPA and Security Investments | 49 |
Correlation of NPA and Security Investments With GDP and HDI | 51 |
Impact of NPA and Security Investment Upon Credit, GDP and HDI | 53 |
Regression Analysis of NPA and Investment Upon Credit of the Countries | 54 |
Regression Analysis of NPA and Investment Upon GDP of the Countries | 54 |
Regression Analysis of NPA and Investment Upon HDI of the Countries | 56 |
Pooled Regression Analysis of NPA and Investment Upon Credit, GDP and HDI of the Countries | 56 |
Summary | 57 |
References | 57 |
Chapter 4: Linkage of Credit With Income and Development of the Countries | 59 |
Introduction | 59 |
Theoretical Background on the Linkage Between Financial and Real Sectors | 60 |
Supply Side and Demand Side Approaches of the Linkage | 61 |
Studies on the Linkage Between Financial Development and Human Development | 62 |
Theoretical Model on Credit as Endogenous InstitutionalFactor of Growth | 63 |
Empirical Methodology | 66 |
Methodology of Unit Root Test | 66 |
Methodology of Cointegration and Error Correction Mechanism | 67 |
Methodology of Granger Causality Test | 69 |
Unit Root Test results | 70 |
Cointegration and ECM Test Results | 70 |
Granger Causality Test Results | 74 |
Summary | 77 |
References | 78 |
Chapter 5: Credit Elasticity and Equilibrium Relations of NPA and Investment with Credit, GDP and HDI | 81 |
Introduction | 82 |
Credit Elasticity of Income and Development | 82 |
Measures and Derivations of Credit Elasticities | 82 |
Run Test Results | 84 |
Equilibrium Relations of NPA and Investment with Credit, GDP and HDI | 90 |
Methodology of Panel Unit Roots Test | 91 |
Results of Panel Unit Roots Test | 92 |
Methodology of Panel Cointegration Test | 92 |
Results of Panel Cointegration Test | 94 |
Vector Error Correction Mechanism (VECM) | 96 |
VECM Results | 98 |
Short-run Causality Test Results | 100 |
Summary | 102 |
References | 102 |
Chapter 6: Convergence Analysis of Credit, GDP and HDI of the Countries | 105 |
Introduction | 105 |
Theories on Convergence of Income | 106 |
Neoclassical Approach | 106 |
Absolute β Convergence | 107 |
Conditional β Convergence | 109 |
Sigma (σ) Convergence | 111 |
Time Series Approach | 111 |
Brief Literature | 113 |
Trends of Per Capita Credit, Per Capita GDP and HDI of the Countries | 113 |
Results and Discussions on the Convergence Analysis | 115 |
Results of Absolute β Convergence Test | 115 |
Results of the Conditional Convergence Test | 122 |
Results of the Sigma Convergence Test | 123 |
Results Under the Time Series Approach | 125 |
Summary | 127 |
References | 127 |
Chapter 7: Branch, Deposit and Credit of Banks in Indian States | 129 |
Introduction | 129 |
Data Descriptions | 131 |
Trends of Branch Expansion of the States | 132 |
Trends of Growth of Deposit of SCBs of the States | 135 |
Trends of Growth of Credit of SCBs in India | 136 |
Trends of Credit–Deposit Ratio of States | 137 |
Banking Transaction Index | 138 |
Sector-wise Allocations of Credit in States | 140 |
Agriculture Sector’s Share | 141 |
Industrial Sector’s Share | 143 |
Service Sector’s Share | 145 |
Measures of Concentration in Credit | 145 |
Results of CR4 Concentration | 146 |
Results of Concentration Under the Herfindahl Index | 147 |
Summary | 148 |
References | 148 |
Chapter 8: Trends of Bank Credit, NPA and Government Security Investments in India | 151 |
Introduction | 152 |
Concepts of NPA in India | 152 |
Factors Affecting NPA in India | 153 |
Norms for an Asset to be Non-performing in India | 154 |
Trends of NPAs | 155 |
Trends of Banking Funds Invested in Government Securities | 157 |
Investments in Different Government Securities | 159 |
Distribution of SCBs’ Fund Invested in State Governments’ Securities | 160 |
Investment-to-Deposit Ratio in States | 162 |
Correlation and Causality Analyses | 164 |
The Real Cause of Concern | 166 |
Summary | 166 |
References | 167 |
Chapter 9: Credit Convergence and Credit Inequality in Indian States | 169 |
Introduction | 170 |
Review of Existing Literature | 171 |
Income Convergence of the States in India | 171 |
Credit Convergence of the States in India | 174 |
Data and Methodology | 175 |
Results and Discussion on the Inter-state Convergence of Level of Bank Credit | 176 |
Absolute β Convergence Results | 176 |
Sigma (σ) Convergence Results | 182 |
Disparity and Inequality in Credit Allocations in Indian States | 184 |
Summary | 187 |
References | 187 |
Chapter 10: Linkages of Bank Credit with Output and HDI of the Indian States | 191 |
Introduction | 192 |
Theoretical Foundation of the Interrelationships | 195 |
Empirical Findings | 197 |
Graphical Presentation of the Trends | 197 |
Mean and Pair-wise Correlation Results | 198 |
Results of Stationarity Test | 201 |
Results of Cointegration and Error Correction Tests | 203 |
Results of Granger Causality Test | 208 |
Summary | 214 |
References | 214 |
Chapter 11: Concluding Observations | 217 |
Index | 221 |
List of Figures and Tables
Figures
Fig. 1.1. | Graphical Views of GDP, Credit and HDI of the Countriesin Different Phases | 19 |
Fig. 2.1. | Trends of GDP (Constant 2015 USD) of the Selected Countries | 26 |
Fig. 2.2. | Trends of Credit to Private Sectors (Constant 2015 USD) of the Selected Countries | 27 |
Fig. 2.3. | Trends of HDI of the Selected Countries | 27 |
Fig. 3.1. | Gross NPA (Constant 2015 USD) | 47 |
Fig. 3.2. | Banks’ Investment in Government Securities (USD) | 48 |
Fig. 4.1. | Thematic Presentation of DFA and SLA | 62 |
Fig. 5.1. | Trends of Credit Elasticity of Income and HDI | 84 |
Fig. 5.2. | Number of the Runs in Plus and Minus Directions in GDP and HDI | 89 |
Fig. 6.1. | Absolute Beta Convergence | 108 |
Fig. 6.2. | Conditional Beta Convergence | 110 |
Fig. 6.3. | Trends of Per Capita Credit, Per Capita GDP and HDI of the Countries | 114 |
Fig. 6.4. | Absolute Convergence Results in Credit | 117 |
Fig. 6.5. | Absolute Convergence Results for GDP | 119 |
Fig. 6.6. | Absolute Convergence Results for HDI | 121 |
Fig. 6.7. | Sigma Convergence Results for Credit, GDP and HDI | 124 |
Fig. 7.1. | Trends of Branches, Deposit and Credit of the States | 133 |
Fig. 7.2. | Pre- and Post-reform Average Growth of Branches, Deposits and Credit of the States | 134 |
Fig. 7.3. | Average Shares of the Agriculture Sector’s Credit in the States and UT | 142 |
Fig. 7.4. | Average Shares of Industrial Sector’s Credit in the States and UT | 144 |
Fig. 7.5. | Average Shares of Service Sector’s Credit in the States and UT | 145 |
Fig. 7.6. | CR4 Credit Shares and HHI of the Club of States and UT | 147 |
Fig. 8.1. | Trends of Total Deposit, Total Investment and Gross NPA in India | 155 |
Fig. 8.2. | Trend of C-D Ratio, NPA Ratio and Investment Ratio During the Reform Period | 156 |
Fig. 8.3. | Shares of Aggregate Banking Funds Invested in Different Forms of Securities | 160 |
Fig. 8.4. | State-wise Amount and Share of SCBs Funds Invested in Government Securities | 161 |
Fig. 8.5. | Ratio of Investment-to-Deposit Across the States | 163 |
Fig. 9.1. | Scatter Diagrams for Showing Absolute Convergence | 178 |
Fig. 9.2. | Trends of Logarithmic Values of CV in Three Different Phases | 183 |
Fig. 9.3. | Trends of Gini Coefficient of Credit | 185 |
Fig. 9.4. | Mean, SD and t Statistics for Different Credit Disparity and Inequality Measures | 186 |
Fig. 10.1. | Trends of Credit and NSDP of the States in Different Periods | 197 |
Fig. 10.2. | Trends of HDI of the States in 1995–2019 | 198 |
Fig. 10.3. | Average Values of Credit, NSDP and HDI of the States in Different Phases | 199 |
Tables
Table 1.1. | Scenarios in GDP, Credit and HDI of the Countries in Different Phases | 17 |
Table 2.1. | Mean, SD and Mean Difference Results for the Variables | 30 |
Table 2.2. | Correlation of Credit With GDP and HDI of the Countries in Different Phases | 33 |
Table 3.1. | Mean, SD and Correlation Coefficients | 50 |
Table 3.2. | Estimated Regression Coefficients Across the Countries and Pooling of the Countries | 55 |
Table 4.1. | Unit Root Test Results for Credit, GDP and HDI in Their Levels and First Differences | 71 |
Table 4.2. | Engle-Granger Cointegration and Error Correction Test Results | 72 |
Table 4.3. | Granger Causality Test Results | 76 |
Table 5.1. | Run Test Results for the Countries in Different Phases | 86 |
Table 5.2. | Panel Unit Roots Test Results of All the Indicators at Their First Differences | 93 |
Table 5.3. | Kao and Johansen Cointegration Test Results for the Three Sets of Variables | 95 |
Table 5.4. | VECM Results | 99 |
Table 5.5. | Short-run Causality Test Results | 101 |
Table 6.1. | Absolute β Convergence and σ Convergence Results | 116 |
Table 6.2. | Conditional Convergence Results | 122 |
Table 6.3. | Panel Unit Root Test Results at the First Differences of the Variables | 126 |
Table 7.1. | Mean and SD of C-D Ratio of the States for Pre- and Post-reform Phases | 139 |
Table 8.1. | Investment of Scheduled Commercial Banks’ Funds in Different Securities (Figures in Rs. Crore) | 159 |
Table 8.2. | Correlation Results | 165 |
Table 9.1. | Different Initial Values and Average Growth Rates of Credit Levels Across the States | 177 |
Table 9.2. | Absolute β Convergence and σ Convergence Results | 181 |
Table 9.3. | Mean, SD and t Statistics for Different Credit Disparity and Inequality Measures | 186 |
Table 10.1. | Mean and Correlation in Credit, NSDP and HDI of the States | 200 |
Table 10.2. | Unit Root Test Results for Credit, NSDP and HDI at Their First Differences | 202 |
Table 10.3. | Engle–Granger Cointegration and Error Correction Test Results for the Pre-reform Period | 205 |
Table 10.4. | Granger Causality Test Results | 210 |
List of Abbreviations
ADF | Augmented Dickey-Fuller |
AIC | Akaike Information Criterion |
AP | Andhra Pradesh |
APC | Average Product of Credit |
ASEAN | Association of Southeast Asian Nations |
ATM | Automated Teller Machine |
BIS | Bank for International Settlements |
BRICS | Brazil, Russia, India, China, South Africa |
BTI | Banking Transaction Index |
C-D | Credit–Deposit |
CEE | Central and Eastern Europe |
CMN | Conselho Monetário Nacional |
CRAR | Capital to Risk Weighted Asset Ratio |
CRR | Cash Reserve Ratio |
CV | Coefficient of Variations |
DFA | Demand Following Approach |
DZ | Deutsche Zentral-Genossenschaftsbank |
ECM | Error Correction Mechanism |
EG | Engel and Granger |
EU | European Union |
FAS | Financial Access Survey |
FDIC | Federal Deposit Insurance Corp. |
FSR | Financial Sector Regulation |
GCF | Gross Capital Formation |
GDI | Gender Disparity Index |
GDP | Gross Domestic Product |
HDI | Human Development Index |
HI | Herfindahl Hirschman Index |
HPI | Human Poverty Index |
IDP | India Development Report |
IFI | Index of Financial Inclusion |
IMF | International Monetary Fund |
KfW | Kreditanstalt für Wiederaufbau |
KPSS | Kwiatkowski–Phillips–Schmidt–Shin |
MP | Madhya Pradesh |
MPC | Marginal Product of Credit |
MSMEs | Micro-, Small- and Medium-sized Enterprises |
NBFc | Non-banking Financial Companies |
NBP | National Bank of Poland |
NPA | Non-performing Asset |
NSDP | Net State Domestic Product |
OCC | Office of the Comptroller of the Currency |
OECD | Organisation for Economic Co-operation and Development |
OLS | Ordinary Least Square |
PBC | People Bank of China |
PCGDP | Per Capita GDP |
PPP | Purchasing Power Parity |
RBI | Reserve Bank of India |
RSS | Residual Sum Square |
SA | South Africa |
SARB | South African Reserve Bank |
SARFAESI | Securitisation and Reconstruction of Financial Assets and Enforcement of Securities Interest |
SCB | Scheduled Commercial Bank |
SD | Standard Deviations |
SDP | State Domestic Product |
SEC | Securities and Exchange Commission |
SIC | Schwarz Information Criterion |
SLA | Supply Leading Approach |
SLR | Statutory Liquidity Ratio |
SMEs | Small and Medium Enterprises |
TFP | Total Factor Productivity |
TN | Tamil Nadu |
UK | United Kingdom |
UN | United Nations |
UNDP | United Nations Development Program |
UP | Uttar Pradesh |
US | United States |
USA | United States of America |
USD | United States Dollar |
UT | Union Territory |
VAR | Vector Autoregression |
VECM | Vector Error Correction Model |
WB | West Bengal |
WEF | World Economic Forum |
WTO | World Trade Organization |
About the Author
Ramesh Chandra Das, PhD, is currently a Professor at the Department of Economics of Vidyasagar University in the state of West Bengal, India. He has obtained Masters, M.Phil and Ph.D degrees in Economics from the University of Calcutta. He has the teaching and research experience of about 25 years in his credit. His main areas of research lie in Theoretical and Applied Macroeconomics, Financial Economics, Environmental Economics and Political Economics. He has contributed several research papers to national and international journals of reputes along with more than a dozen of edited volumes in different areas of the subject. Besides, he has written textbooks on Microeconomics, Macroeconomics and Managerial Economics with the internationally reputed publishers for the different fields of readers and academicians and has been acting as the Editor-in-Chief in a couple of refereed journals.
Foreword
In contradiction to Adam Smith like supply side economists, Schumpeter, a modern economist from the school having believes upon the demand side economics, postulated that the monetary and financial sector should have a strong influence upon the growth and development of the real sector of the economy. There must be a linkage between the two sectors which might help in the overall progress of the economies of different statures. Today, the world output has increased to an outstanding level and the economies who are now belonging to this top-performing group are the USA, Germany, UK, France, etc., from the developed group as a sample and China, India, Brazil and South Africa from the developing group as another sample.
Usually the mainstream economics does not focus more on the subject area of bank credit and deposit, as the component of financial sector, and their relations to the growth and development in a country. The present book specifically focuses on the credit and deposit aspects of bank credit in some developed and developing economies in the world to show whether these two financial components are linked to the income growth and development (as captured by the HDI values) for a long period of 1990–2019.
The book titled Growth and Developmental Aspects of Credit Allocation: An inquiry for Leading Countries and the Indian States, written by Dr Ramesh Chandra Das, Professor at the Department of Economics, Vidyasagar University, India, has covered the above issues. It has 10 chapters, six on the developed countries and four on the States of India, which discusses the trends of credit, deposit, credit–deposit ratio, non-performing assets, bank’s investment upon governments’ securities, and GDP and HDI of the countries, the interlink between credit and GDP/HDI in countries and states of India. The study in overall finds significant positive correlations between bank credit and GDP (and HDI) in most of the countries and states of India. There are also inverse relations between bank credit and security investment in some countries.
The contents of the book are of great relevance in the today’s world so far as the interconnections between the financial and real sectors of the economies are concerned. I expect that the readers in the related fields may be benefitted.
Girijasankar Mallik, PhD, Associate Professor, School of Business, Western Sydney University
Girija obtained a B.Sc. (Honours in Statistics), M.Sc. (Statistics) and Ph.D. in Applied Econometrics from India and working in the Western Sydney University, Australia since 1994. He has published over 95 articles, including 62 referred journal articles (including A* and A-level journals).
Girija has published articles in the areas of Education, Medicine, Applied Econometrics, Economics, Finance and currently working in the areas of Accounting and Social Science. His papers have been cited over 1,934 times in google scholar with 17 h-index and 28 i10-index. Many reputed newspapers around the world including Business Review Weekly, Sydney Morning Herald, The Australian, etc., showed interest in his research and published the summary of his articles.
Preface
There has a long debate on a topic concerning the role of financial sectors upon the commodity-producing sectors of an economy. The classical version helmed by Adam Smith does not put any importance upon the financial sector in deciding the progress of the real sector as it puts over stress upon the economy. The real sector can simply work in its own without the linkage with the financial sector which they term as a veil. On the other hand, the Schumpeterian version, mainly with the clubbing of the modern economists, thinks in other ways; the real sector and the financial sector should maintain stable relationships among them in order to support the economies in terms of their growth and development. According to Hugh T. Patrick, there are two ways of explaining the interlinkages between the financial sector and growth of the domestic output. One of the ways, as he pointed out, is the Supply Leading Approach and the other is the Demand Following Approach. Under the Supply Leading Approach, financial sector’s development works as the input of the real sector’s development. On the other hand, under the Demand Following Approach, economies’ expansion in terms of its income becomes a pulling factor of financial sector’s development. According to him, the supply leading approach works for the developing or less developed economies and the demand following approach works for the developed economies. Later, there are a series of research works that deal with the impact of financial sector in general and the banking sector in particular on the economic growth of a country. Some studies have shown that growth of the financial sector has a positive influence on the economic growth of a country.
Under this milieu, the present authored book titled Growth and Developmental Aspects of Credit Allocation: An inquiry for Leading Countries and the Indian States deals with the financial sector and real sectors’ growth and developmental aspects in some countries of the world. Usually, the mainstream economics does not focus more on the subject area of bank credit and deposit, as the component of financial sector, and their relations to the growth and development in a country. The present book specifically focuses on the credit and deposit aspects of bank credit in some highly developed (USA, UK, Germany, France and Poland) and developing economies (China, India, Brazil, South Africa and Indonesia) in the world to show whether these two financial components are linked to the income growth and development (as captured by the HDI values) for a long period of 1990–2019. Furthermore, it undertakes the microlevel study in the said indicators across different states in India as a special attempt for the period 1972–2019 in a pre- and post-reform break up.
The book has 11 chapters out of which six cover the studies related to different countries including India, and the next four chapters capture the growth and developmental aspects of commercial banks’ credit in the Indian states. Chapter 11 presents concluding observations. Chapter 1 gives an introduction to the country notes in terms of their financial histories, trends of the three lead variables, credit to the private sectors, GDP and HDI to get primary ideas about them and their progress over time. Chapter 2 goes for descriptive statistical analysis on the selected variables across the countries. Besides, it goes for computing the degrees of associations among the pairs of the variables involving bank credit. Chapter 3 addresses the issues related to two key banking and financial sector indicators, the NPA and banks’ investment upon government securities, in relation to their associations with GDP and HDI of the selected countries. Chapter 4 investigates whether credit to the private sectors have any long-run relationships with the income and development levels of the countries for the selected period using time series econometrics. Chapter 5 focuses on the measurements of credit elasticity with respect to GDP and HDI to know the impact of credit to the private sectors upon the income and human development of the countries, incorporating the issues of NPA and security investments into the analysis of interrelationships. Chapter 6 examines the convergence or divergence in credit, GDP and HDI across the 10 selected countries using the neoclassical growth and time series approaches.
Chapter 7, the first chapter for the Indian states, analyses the trends of bank branches, deposit, credit and credit–deposit ratio and banking transaction levels during the pre- and post-reform periods. Furthermore, it goes with computation of the states’ concentration in credit allocations using different methods. Chapter 8 goes through the trends of the credit–deposit ratios in relations to the NPA and security investments at the all-India level and the state levels. Chapter 9 examines whether the selected major states in India are converging or diverging in the allocation of bank credit, and if so, what are the magnitudes of the level of disparities and inequalities in credit allocation. Chapter 10 deals with the investigations on the interrelationships between bank credit and state output, and bank credit and human development during the pre-reform and post-reform periods separately.
Chapter 11 concludes the covered chapters. The amounts of credit to the private sectors have increased in all the countries making a probable interrelationship with their GDP and HDI levels. This justifies the interdependences of the financial sector with the growth and development of the countries. Further, with respect to the state level studies in India, the chapters find rising trends in branch expansion, amounts of deposits and credit but the credit to deposit ratios have not increased significantly during the post-reform period (1993–2019). The study also finds that banks’ investment upon the state and central governments’ securities have been the key to the insignificant increase in the credit to deposit ratio of the states. Finally, the study finds divergence in credit allocations in the post-reform phase leading to rising credit inequality. The study also finds interrelationships of bank credits with the states’ output but it detects very low number of states having such relationships with their levels of human developments.
In completing the book project, the collaborations and supports of several organizations and academicians are required to be recognized. I first acknowledge the unstoppable support and cooperation of Emerald, UK, the publisher, for their continuous efforts from processing of the project to its final acceptance. Second, I am highly grateful to Dr Girijasankar Mallik, Associate Professor at the Western Sydney University, Australia, for writing the valuable foreword for this piece of work. Finally, I am obligated to my family members for bearing stress with me and sacrificing the households’ time for consociate. Of course, no one other than me, as the author, disclose to remain utterly accountable for any errors still persist in the book.
Ramesh Chandra Das
- Prelims
- Chapter 1: Historical Perspectives of the Countries
- Chapter 2: Trends of the Variables and Descriptive Statistical Analysis
- Chapter 3: Issues of Non-Performing Assets, Security Investments Vis-á-Vis Credit, GDP and HDI
- Chapter 4: Linkage of Credit with Income and Development of the Countries
- Chapter 5: Credit Elasticity and Equilibrium Relations of NPA and Investment with Credit, GDP and HDI
- Chapter 6: Convergence Analysis of Credit, GDP and HDI of the Countries
- Chapter 7: Branch, Deposit and Credit of Banks in Indian States
- Chapter 8: Trends of Bank Credit, NPA and Government Security Investments in India
- Chapter 9: Credit Convergence and Credit Inequality in Indian States
- Chapter 10: Linkages of Bank Credit with Output and HDI of the Indian States
- Chapter 11: Concluding Observations
- Index