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    <title>DSpace Collection:</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6353</link>
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        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6912" />
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6911" />
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6910" />
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6909" />
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    <dc:date>2026-04-26T01:48:50Z</dc:date>
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  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6912">
    <title>Detection and Deterrence: A Microtheoretic Approach</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6912</link>
    <description>Title: Detection and Deterrence: A Microtheoretic Approach
Authors: Chowdhury, Swastick Sen; Ghosh, Santanu; Das, Panchanan
Abstract: For over three decades, research on crime and corruption has been of special interest among social&#xD;
scientists. The present paper seeks to examine the decision-making behaviour of an illegal firm in&#xD;
terms of a simple micro theoretic exercise. We set up simple models of a profit maximizing illegal&#xD;
industrial firm and derive conditions under which illegalisation of work and production occurs,&#xD;
taking into consideration the fact that the probability of being detected of unlawful activity is a&#xD;
variable and being dependent on the scale of activity, measured in terms of output or employment.&#xD;
Here, we try to explore the cases where the firm is detected at different phases of its production&#xD;
process and also examine the impact of deterrence, if any, on the scale of illegal activity.
Description: PP:1-18</description>
    <dc:date>2021-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6911">
    <title>Financing Public Expenditure on Imports in India under the New Economic Policy</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6911</link>
    <description>Title: Financing Public Expenditure on Imports in India under the New Economic Policy
Authors: Chakraborty, Debashree; Ghosh, Ambar
Abstract: Fiscal Deficit Target which constitutes a cap on government’s borrowing has been a hallmark of the&#xD;
New Economic Policy (NEP) that India adopted in 1991 at the behest of IMF and World Bank.&#xD;
Tracing the trajectory of the expenditure pattern of the present Government of India, we have seen&#xD;
that there has been a steady rise in the government’s spending on imported armaments and imported&#xD;
capital goods. The aim of the paper is to consider the modes of financing of this enhanced government&#xD;
expenditure and the four different means of financing that we have considered are namely external&#xD;
borrowing, internal borrowing, taxation of capitalists’ income and indirect taxation. We have&#xD;
examined the short term macroeconomic impacts of all these four policies both in the presence of the&#xD;
fiscal deficit target and in its absence. We have found that the best way of financing the increase in&#xD;
the government’s expenditure on imported goods is by taxing the capitalists’ income in the presence&#xD;
of the fiscal deficit target. We have also found that the fiscal deficit target produces strong&#xD;
recessionary effects in the cases of internal and external borrowings. It acts as an automatic&#xD;
destabilizer in the cases of direct and indirect taxation. This paper therefore builds a strong critique&#xD;
of the ideological orthodoxy of the fiscal policy of the NEP pursued in India.
Description: PP:19-45</description>
    <dc:date>2021-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6910">
    <title>Disbursement of Credit in Private Sector Banks in India A Panel Data Analysis</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6910</link>
    <description>Title: Disbursement of Credit in Private Sector Banks in India A Panel Data Analysis
Authors: Adhikary, Maniklal; Chatterjee, Ruchira
Abstract: The proportion of credit facility extended by banks of any country is influential for economic growth&#xD;
and development. This paper has attempted to analyse the impact of significant macro and&#xD;
microeconomic variables on the proportion of credit disbursement granted by public sector banks in&#xD;
India during 2011-2019. In the study credit as percentage to total assets, which reflects the credit&#xD;
facilities available to the economy, has been taken as dependent variable. The set of explanatory&#xD;
variables like deposit ratio, liquidity ratio, bank size, growth rate, deposit rate and capital adequacy&#xD;
ratio is going to have a positive relation with credit facilities. On the contrary, inflation rate, the&#xD;
reserve ratio and capital ratio are expected to be inversely connected with the proportion of credit&#xD;
disbursement. It is expected that deposit rate is likely to increase credit facilities whereas NPA ratio&#xD;
will adversely affect the credit disbursement. It has been found that deposit ratio, capital ratio,&#xD;
nonperforming loan ratio, bank size, reserve ratio, and capital adequacy ratio emerge significantly to&#xD;
expand the disbursement of credit by the private sector banks. It is also noted that liquidity ratio,&#xD;
average annual interest rate on loan and deposit have no significant impact on credit facility. In&#xD;
contrast it has been observed that almost all the banks have less capacity to provide Loans &amp;&#xD;
advances in comparison to Axis Bank. And all banks are statistically insignificant except Jammu &amp;&#xD;
Kashmir Bank which is highly significant at 5% level of significance.
Description: PP:46-68</description>
    <dc:date>2021-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6909">
    <title>Changing Pattern of Inequality in the Distribution of Consumer Expenditure in Rural West Bengal (1983 – 2012)</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6909</link>
    <description>Title: Changing Pattern of Inequality in the Distribution of Consumer Expenditure in Rural West Bengal (1983 – 2012)
Authors: Mondal, Debasish; Saha, Sukla Mondal
Abstract: Inequalities in the distribution of income or expenditure or wealth are negative indicators of&#xD;
development of a country or of a region. Though per capita income is considered as the main&#xD;
indicator of development, such inequalities are needed to be measured to have a more accurate&#xD;
assessment of development. In India, except some special surveys by National Council for Applied&#xD;
Economic Research (NCAER), data on the distribution of income or wealth are not available, and&#xD;
the data on the distribution of consumer expenditure collected and compiled by the National Sample&#xD;
Survey Organisation (NSSO) are used as the proxy. Gini coefficient/index (Gini, 1912, 1921, 1936)&#xD;
is most popularly used as a relative/index measure of inequality, though it is not considered as a&#xD;
fully reasonable measure of inequality. As a result, other measures like Lorenz curve (Lorenz,1905),&#xD;
Dalton’s measure (Dalton,1920), Theil’s entropy measure (Theil, 1967), Atkinson’s measure&#xD;
(Atkinson, 1970), Sen’s measure (Sen, 1973), standard deviation of logarithms, coefficient of&#xD;
variation, mean logarithmic deviation (Theil, 1972), extended Gini indices (Chakraborty, 1988),&#xD;
Kakwani’s index (Kakwani, 1980), generalised Gini index (Weymark, 1981),squared coefficient of&#xD;
variation, relative mean deviation, etc. have also parallel use. All these measures are either relative&#xD;
or index measures. Majority of them have their absolute counterparts. As explained by Kolm&#xD;
(1976), absolute measures of inequality have some properties different from relative/index measures&#xD;
and those cannot be ignored. However, different measures tend to give different pictures on&#xD;
inequality comparison. If one measure shows that inequality in India in a particular year has fallen&#xD;
in comparison to a previous year, it may be possible to find another measure that shows that&#xD;
inequality has actually increased. Under these circumstances, any researcher in this field tends to&#xD;
choose any one of the available measures, which he feels, the best, and makes the desired&#xD;
comparisons. In this respect, the Gini coefficient/index has been most popular because it seems most&#xD;
convenient to use, though not most convincing. This study tries to use two types of measures of&#xD;
inequality, namely the Gini type and the SD-CV type, simultaneously and tries to derive a general,&#xD;
centrist or intermediate or overall, though sometimes apparently conflicting, impression about the&#xD;
changing pattern of inequality in the distribution of consumer expenditure in rural West Bengal in&#xD;
comparison to rural all India in the period from 1983 to 2012.
Description: PP:69-86</description>
    <dc:date>2021-08-01T00:00:00Z</dc:date>
  </item>
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