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Understanding Regional Inequality in India

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Understanding Regional Inequality in India. Nirvikar Singh (University ... 16 districts (excluding Kolkata) 1993-94 to 2000-01. India. Preliminaries to Results ... – PowerPoint PPT presentation

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Title: Understanding Regional Inequality in India


1
Understanding Regional Inequality in India
  • Nirvikar Singh (University of California, Santa
    Cruz)
  • Institute for South Asian Studies,
  • National University of Singapore
  • March 2005

2
Outline
  • Introduction
  • Inequality The State of the Debate
  • Alternative Outcome Measures
  • Inequality Below the State Level (NSS Regions)
  • Inequality Below the State Level (Districts)
  • Conclusions

3
1. Introduction
  • Concerns about growing regional inequality
  • Ethical issue we may dislike too much inequality
  • Pragmatic issue internal political tensions,
    even conflict, may increase
  • Need to have as deep an understanding as
    possible, to guide possible policy responses

4
India
5
2. Inequality The State of the Debate
6
State Level Gini Ratios
7
Convergence Studies
8
3. Alternative Outcome Measures
9
Inequality in HDIs
10
HDI Trends
11
Relative Regional Changes 1991-92 to 1998-99
Source The Geography of Post 1991 Indian
Economy Laveesh Bhandari Aarti Khare Indicus
Analytics, April 2002
78 regions
12
4. Inequality Below the State Level (NSS Regions)
13
Inequality Below the State Level
14
Zonal Differences
15
Zonal Differences
16
5. Inequality Below the State Level (Districts)
  • Andhra Pradesh
  • 22 districts
  • 1993-94 to 2000-01
  • Kerala
  • 14 districts
  • 1990-91 to 2000-01
  • Rajasthan
  • 27 districts
  • 1990-91 to 2000-01
  • West Bengal
  • 16 districts (excluding Kolkata)
  • 1993-94 to 2000-01

17
India
18
Preliminaries to Results
  • Dependent variable is always DDP per capita
    growth rate
  • Difference in natural logarithms of per capita
    DDP
  • District Domestic Product (DDP) are not deflated
  • Nominal per capita DDP growth
  • Constant term includes inflation
  • Doesnt affect other coefficients
  • Other conditioning variables are all 1991
  • Census data (human development or infrastructure)
  • RBI data (financial variables)
  • White heteroskedasticity-consistent standard
    errors used

19
Andhra Pradesh
20
Kerala
21
Rajasthan
22
West Bengal
23
6. Conclusions
  • Trends in regional inequality may not be too bad
  • Development indicators tell a different story
    than SDP performance
  • The problems may not be structural, but a
    function of policy
  • Good governance can have rapid positive effects
  • Better policy targeting (e.g. poverty
    alleviation, intergovernmental transfer system)
    can help
  • Reform is not necessarily the major culprit in
    growing regional inequality further reform can
    help
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