We discuss characteristics of the spatial distribution of poverty and
calorie and protein deficiency in India. Two units of analysis are
considered - states and NSS-defined agro-climatic zones. The data used
are the NSS Expenditure Surveys of the 43rd, 50th and 55th rounds.
Results on stochastic dominance as per these criteria are also reported.
An important caveat regarding the results on calorie undernutrition is
that we do not report a unique value for it. The reason for this is that
there is imperfect correlation between work categories and calorie
requirements, i.e., there is no straightforward way in which many
categories of work in the rural sector can be regarded as requiring
\"sedentary\", \"moderate\" or \"heavy\" work. This problem becomes most
acute in the data for the 55th round (1999-2000) where employment data
is sparse and a considerable mismatch for the consumption expenditure
data. In view of this we follow the procedure of computing three indices
for calorie undernutrition assuming, seriatim¸ that everyone in the
rural sector does sedentary, moderate and heavy work. Hence our
computations should be viewed as providing bounds (with the \"heavy\"
norm providing the upper bound and the \"sedentary\" norm providing a
lower bound with the \"moderate\" norm providing an intermediate
figure). In this part of the report we provide, in the main, results
using the \"moderate\" norm. Some results using the other two norms have
been provided in earlier papers.
The analysis in this paper is done at two levels - states and NSS
agro-climatic zones, labelled as \"NSS regions\". We have used the
following 75 regions in this analysis. We note below the state, the name
of the region, the NSS code and a simplified code that we use for
ASARC Working Paper 2004-2, 76 pp.
Undernutrition, Poverty and Growth in Rural India - A Regional Analysis.