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This book is an innovative exercise to unravel recent advances in
development fundamentals in emerging economies through Indian lens
that include various aspects of macroeconomics, international
trade, finance, and issues connected to social sector that have
become more important in post-pandemic world. The book throws light
on efficacy of existing policies and need of reform in policy
framework to enhance growth and development and reduce gender
disparities in the context of India and other emerging economies.
The papers included in different chapters use frontline techniques
to discuss various issues that in turn will be of great help for
graduate and postgraduate teaching as well as for research. The
book substantially contributes to the growing literature on issues
relating trade, development, finance, and social sector in light of
threat posed by COVID-19 pandemic in emerging market economies and
extends the frontiers of knowledge.
This book discusses the extent and nature of COVID-19 pandemic in
India and its effect on the society and economy. The suggested
management practices discussed here are also not stereotype. At the
same time, it highlights deficiency in development fundamentals in
India on several dimensions, especially health, education, quality
of public spending, taxation orientation, external trade
involvement across states, etc., deficiencies which create an
inbuilt bottleneck toward the creation of a more equal society.
While discussing these, the book throws light on how they were
expectedly exacerbated by the sudden negative shock in the form of
COVID-19 pandemic. Thus, the book has highlighted the COVID
pandemic and its response in India in the background of certain
less discussed aspects of development fundamentals. The
contents would be of interest to researchers and students studying
socioeconomic aspect of developmental economics and also to policy
makers and non-government entities involved in mitigating effects
of pandemic in the socioeconomic sphere.
This book assesses how efficient primary and upper primary
education is across different states of India considering both
output oriented and input oriented measures of technical
efficiency. It identifies the most important factors that could
produce differential efficiency among the states, including the
effects of central grants, school-specific infrastructures, social
indicators and policy variables, as well as state-specific factors
like per-capita net-state-domestic-product from the service sector,
inequality in distribution of income (Gini coefficient), the
percentage of people living below the poverty line and the density
of population. The study covers the period 2005-06 to 2010-11 and
all the states and union territories of India, which are
categorized into two separate groups, namely: (i) General Category
States (GCS); and (ii) Special Category States (SCS) and Union
Territories (UT). It uses non-parametric Data Envelopment Analysis
(DEA) and obtains the Technology Closeness Ratio (TCR), measuring
whether the maximum output producible from an input bundle by a
school within a given group is as high as what could be produced if
the school could choose to join the other group. The major
departure of this book is its approach to estimating technical
efficiency (TE), which does not use a single frontier encompassing
all the states and UT, as is done in the available literature.
Rather, this method assumes that GCS, SCS and UT are not
homogeneous and operate under different fiscal and economic
conditions.
Considering disaggregated data on Indian manufacturing at two-
& three-digit levels, provided by Annual Survey of Industries
during 1970-71 to 2001-02, a performance related overview is
constructed to observe whether the feat of Indian industries has
generated sufficient growth potential in terms of industrial
output. A dummy-variable approach is adopted here. The study also
focuses on the effects of trade-liberalization policies on output
growth process by estimating break points & examining its
occurrence & persistence level in pre- or post-liberalization
era by employing unit-root hypothesis. For analyzing
cost-competitiveness of an industry, measurement of technical
efficiency is done by employing Stochastic Frontier Production
function approach & extent of total factor productivity growth
is examined by non-parametric approach of Data Envelopment
Analysis. Inter-industrial variation is observed regarding the
explanatory factors responsible for movements of technical
efficiency & total factor productivity growth of different
industries. The policy prescriptions should focus on the specific
broad objectives: whether to endorse efficiency or productivity of
a particular industry.
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