47 research outputs found
Post-Reform Development in Asia: Essays for Amiya Kumar Bagchi
No full textThis festschrift volume for professor Amiya Kumar Bagchi dwells on issues often raised in the development debate whether neo-liberal reforms in developing nations have raised inequality and poverty, food insecurity, hindered empowerment of women, aggravated agrarian distress, reallocated resources for private profitability and facilitated the rise of multi-national oligopoly according inferior status to the domestic industries in the host countries most of the issues have been examined on the basis of empirical data drawn from China, India and Bangladesh essays on china concentrate on post-reform issues of inequality across regions and rural-urban locations and its failure to achieve targets of human development while experiencing rapid economic growth discussions on changes in policy environment since the early days of the people\u27s republic of china also constitute the basic themes of the essays food insecurity, growth-poverty-employment relationship, gender discrimination in the labour market and agrarian distress caused by withdrawal of state support to small farmers growing commercial crops and revision of priority sector lending policy at the cost of small farmers and entrepreneurs are the major themes of essays written in the Indian context of post-reform development in an essay on Bangladesh the poverty issues has been revisited in the context of child work agrarian issues have also been raised in an essay where the author proposes an alternative peasant social construction for the dual affirmation of land rights of the state and of the peasant family in the last two essays authors look far beyond the mainstream tradition to develop an analytical framework for understanding issues relating to the recent rise of multi-national firms and the phenomenal growth of India\u27s software technology. -- Provided by publisherhttps://scholarworks.uni.edu/facbook/1150/thumbnail.jp
Amiya Kumar Bagchi. The Political Economy of Underdevelopment. London: Cambridge University Press. 1982. Reprint 1983. pp.viii+276. List of books for further reading; Index. Price: £ 8.50 (paperback edition).
No full textAmiya Kumar Bagchi, an eminent economist of the modern
Cambridge tradition, has produced a timely treatise, in a condensed
form, on the development problems of the Third World countries. The
author's general thesis is that economic development in the developing
societies necessarily requires a radical transformation in the economic,
social and political structures. As economic development is actually a
social process, economic growth should not be narrowly defined as the
growth of the stock of rich capitalists. Neither can their savings be
equated to capital formation whose impact on income will presumably
'trickle down' to the working classes. Economic growth strategies must
not aim at creating rich elites, because, according to the author,
"maximizing the surplus in the hands of the rich in the Third World is
not, however, necessarily a way of maximizing the rate of
growth"
Environmental flow estimation under climate change
No full textNot AvailableEflow’ for a river is to
maintain a sustainable fluvial ecosystem,
to obtain this decision variable, apart
from considering the water quantity and
quality issues, those of biodiversity, biological
cycle of the major aquatic organisms,
dynamism of riparian vegetation,
and sedimentation of the hyporheic zone
must be addressed. In light of this argument,
we summarize that the minimum
flow is not ecologically sustainable but
hydrological motivated, and hence cannot
be equated with the Eflow which is
majorly hydro-ecologically sustainabl
Stock Market Prediction using Artificial Neural Network & Text Mining
No full textThe art of prediction of stock market volatility has always been a most challenged interdisciplinary research problem among scientist due to its highly non- linear nature of market flow. This paper tries to analysis the historical data of BSE Sensex using extreme volatilities estimators, GARCH, ANN and new proposed Text Mining approach for stock market predictions. Finally experimental results illustrates that the new proposed Text model can able to predict the volatilities of the stock price better than other models
Stock Market Prediction using Artificial Neural Network & Text Mining
No full textThe art of prediction of stock market volatility has always been a most challenged interdisciplinary research problem among scientist due to its highly non- linear nature of market flow. This paper tries to analysis the historical data of BSE Sensex using extreme volatilities estimators, GARCH, ANN and new proposed Text Mining approach for stock market predictions. Finally experimental results illustrates that the new proposed Text model can able to predict the volatilities of the stock price better than other models
Interest Rate Modeling and Forecasting in India
No full textThe study develops univariate (ARIMA and ARCH/GARCH) and multivariate models (VAR, VECM and Bayesian VAR) to forecast short- and long-term rates, viz., call money rate, 15-91 days Treasury Bill rates and interest rates on Government securities with (residual) maturities of one year, five years and ten years. Multivariate models consider factors such as liquidity, Bank Rate, repo rate, yield spread, inflation, credit, foreign interest rates and forward premium. The study finds that multivariate models generally outperform univariate ones over longer forecast horizons. Overall, the study concludes that the forecasting performance of Bayesian VAR models is satisfactory for most interest rates and their superiority in performance is marked at longer forecast horizons.
Supersaturation controlled aqueous synthesis of Mn-doped CdTe quantum dots with enhanced luminescence and monodispersity
No full textExperimental characteristic evaluation of micro hole EDM drilling of Ni51.58Ti48.34 alloy with copper electrode and response optimization using GRG assisted with GA
No full textAbstract Nitinol, a biocompatible material, is gradually becoming famous for its superelasticity, shape memory and corrosion resistance behaviours. However, the lower machinability due to the strain-hardening effect and lower thermal conductivity is contrary to its adventitious properties. Therefore, EDM is a preferable machining process for materials like Nitinol. EDM, thermal processing, raises the concern of processing Nitinol with minimal variation of its well-known properties and economical machining process. Therefore, this article deals with multi-objective optimization through GRG-assisted GA of µ-EDM drilling of Ni51.58Ti48.34 alloy using a copper electrode and distilled water. It was found that discharge current and servo voltage significantly influence the responses. The GA, with the assistance of GRG, optimized the multiple responses (viz. MRR, TWR and DoT) and yielded a discharge current of 12 A, gap voltage of 40 V, discharge time of 2 µs, charging time of 9 µs and flushing pressure of 50 kg/cm2. The confirmatory experiment yielded MRR of 0.0036 g/min, TWR of 0.0038 g/min and DoT of 0.0089 radians. There were variations of the predicted and experimentally validated responses by − 2.78, 26.32 and 35.96% for MRR, TWR and DoT, respectively
Opportunity for Natural Selection among the Migrant Santal Community of Bhubaneswar in Odisha, India
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