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  <channel rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/98">
    <title>DSpace Collection:</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/98</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6321" />
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6104" />
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6021" />
        <rdf:li rdf:resource="https://ir.vidyasagar.ac.in/jspui/handle/123456789/5737" />
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    <dc:date>2026-04-28T19:06:24Z</dc:date>
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  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6321">
    <title>Disparities in primary education: A multidimensional study in Paschim Medinipur district of West Bengal</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6321</link>
    <description>Title: Disparities in primary education: A multidimensional study in Paschim Medinipur district of West Bengal
Authors: Das, Chandrani</description>
    <dc:date>2021-11-22T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6104">
    <title>Employment, efficiency and productivity of Indian Textile Industry: An empirical analysis</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6104</link>
    <description>Title: Employment, efficiency and productivity of Indian Textile Industry: An empirical analysis
Authors: Maiti, Susobhan
Abstract: The present thesis deals with the Indian Textile Industry (ITI) and explored three important&#xD;
aspects of Yarn and Fabrics producing sector using firm-level data from 1991 to 2015. First,&#xD;
it investigated growth of employment (E) examining the true nature of the employment&#xD;
series, testing convergence and also checking presence of structural break using endogenous&#xD;
structural break model and also determines the factors explaining E. Secondly, it estimated&#xD;
Output-oriented Technical Efficiency (OTE) using Data Envelopment Analysis (DEA) and&#xD;
also determines the factors influencing such OTE. Thirdly, it estimated Total factor&#xD;
productivity growth (TFPG) from Malmquist Productivity Index using DEA and determines&#xD;
factors influencing such TFPG. Factors influencing E, TE and TFPG for both sectors are&#xD;
determined in a panel set up under seemingly unrelated regression and simultaneous&#xD;
framework. All the estimated equations of the models are found to be nonlinear. &#xD;
The results suggest for E (chapter 3), in both sectors the series are of trend stationary type.&#xD;
The major breaks occur for yarn and fabrics at or between the years 1999-00 and 2004-07&#xD;
respectively and E increased after break for both may be the effect of dismantling of Multifibre &#xD;
Agreement (MFA) in different phases (1995-2005). Profitability Ratio (PR), Output&#xD;
Growth (Y) in previous period, Net Export Intensity (NXI), Firm Size (FS), Capital-Sales&#xD;
ratio in previous period (C/S)t-1 and Raw material Intensity (RI) have favourable effect on E&#xD;
in Yarn producing sector. For fabrics producing sector, RI, Y, FS and (C/S)t-1 &#xD;
 have favourable effect but NXI had unfavourable effect on E. There exists a simultaneity between&#xD;
E and NXI for both sectors. For TE (chapter 4), on average 77% and 76% of the maximum&#xD;
producible output are being produced by Yarn and Fabrics producing sector respectively. TE&#xD;
of Yarn producing sector increases with increase in Advertising Intensity in previous period&#xD;
(ADV)t-1 , FS, Research and Development Intensity (RDI) and Firm Age (FA) but falls with&#xD;
NXI increase. For Fabrics producing sector ADV t-1  , FS, RDI, NXI  in previous period&#xD;
and MEI in previous period have favourable effect on TE. Simultaneity is involved between (i)&#xD;
TE and FS and (ii) TE and RDI for both sectors. For TFPG (chapter 5), productivity&#xD;
increases at rate of 5.4% and 7.2% per annum respectively for yarn and the fabrics producing&#xD;
sector. For both sectors, the prime source of productivity increase is scale efficiency change.&#xD;
TFPG of Yarn producing sector increases with increase in ADV t-1, FS, NXIt-1 and FA but falls with RDI increase. TFPG of Fabrics producing sector increases with rise in ADV t-1 , FS, NXIt-1, FA and MEIt-1&#xD;
but falls with RDI increase. There exists simultaneity between (i)TFPG and FS and (ii) TFPG and RDI for both sectors. For both sectors, dismantling of MFA has favourable impact on E but negative impact on TE and TFPG compared to the MFA period. The common variables affecting E, TE and TFPG for both sectors are FS and NXI,effect of FS being positive. Any policy changes leading to FS increase may help in fostering&#xD;
E, TE and TFPG for both sectors.</description>
    <dc:date>2021-07-28T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/6021">
    <title>An analysis of the performance of Merger and Acquisition (M&amp;A) of some selected Indian Commercial Banks during 2000-2015</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/6021</link>
    <description>Title: An analysis of the performance of Merger and Acquisition (M&amp;A) of some selected Indian Commercial Banks during 2000-2015
Authors: Mondal, Gopal Chandra
Abstract: The performance of M&amp;As (Merger and Acquisitions) of five selected commercial banks, which &#xD;
are taken from public sector &amp; private sector in India, in terms of financial ratio analysis &#xD;
supported by appropriate statistical &amp; econometric techniques along with the extensive analytical &#xD;
feedback received from executives who formalize M&amp;As (Mergers and Acquisitions) of selected &#xD;
banks in India, displays a mixture of optimistic and pessimistic results while comparing and &#xD;
contrasting the outcomes during before and after merger period. The trend for this performance &#xD;
has been intensively researched in this study. &#xD;
     Therefore, the objective behind  the research is to analytically examine and assess the &#xD;
performance of M&amp;As (merger and acquisition) of some selected banks for a period of 15 years &#xD;
starting from the year 2000-01 and ending on 2014-15 in light of different parameters. The &#xD;
research has tried to examine and check whether there present any noteworthy differences in the &#xD;
outcomes attained by banks after M&amp;As. &#xD;
     Main outcomes of the present work are not in line with the prevailing opinion. To be more &#xD;
specific, we have found that majority (nearly two-third) of financial parameters of all 5 merged &#xD;
banks have really positive significant impact and the remaining  one-third of  parameters &#xD;
approximately does not display any noteworthy effect on merged banks. Therefore, we may &#xD;
conclude from the above results that majority of the bank mergers may have positive impact in &#xD;
terms of numerous economic parameters in post-merger period of some selected merged banks.   &#xD;
      This experimental  study based on managers’ survey examines that although new &#xD;
geographical area (NGA), cost advantage (CA), size advantage(SA), customer base (CB), &#xD;
inorganic growth (IG), HR integration (HRI), shareholders’ value (SV), brand quality (BQ), &#xD;
financial inclusion (FI), technological advantage (TA), compliance with more regulations (CWR), corporate governance (CG), risk perception (RP), corporate social responsibility (CSR), &#xD;
Non-Performing Assets (NPA) are treated as the vital strategic issues behind M&amp;As (merger and &#xD;
acquisitions) of selected banks.  &#xD;
      The OLM (ordinal logit model)tells  us to deduce that majority of the executives/managers &#xD;
ponder that corporate governance (CG), in particular, has  vital and noteworthy effect on the &#xD;
decision of M&amp;As (merger and acquisitions) of selected banks. Other prominent factors stated &#xD;
above are not so vital  in determining M&amp;As (merger and acquisitions) decision of Indian banks &#xD;
as our ordinal regression outcomes advocate the same.</description>
    <dc:date>2021-04-08T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://ir.vidyasagar.ac.in/jspui/handle/123456789/5737">
    <title>Tank irrigation in saline zone: A study in West Bengal</title>
    <link>https://ir.vidyasagar.ac.in/jspui/handle/123456789/5737</link>
    <description>Title: Tank irrigation in saline zone: A study in West Bengal
Authors: Naru, Subrata
Abstract: Tank Irrigation is the oldest from of environmentally sustainable irrigation which has been used for the purpose of irrigation in India as well as the state of West Bengal in India. It plays a pivotal role in agricultural production in saline zone where ground water irrigation is not feasible. The research works on tank irrigation over the years have focused mainly on the issues like tank performances, tank management and tank rehabilitation covering south Indian states. But West Bengal a state of India with a large number of water bodies had not been studied carefully. There is dearth of studies on tank irrigation in the saline zone of West Bengal. Against this backdrop, the present study attempt to investigate the different issues of tank irrigation in the saline zone. A study on tank irrigation in different blocks of South 24 Parganas has been undertaken to understand its impact on agricultural productivity. The broad objectives of the present study are the following: i) To investigate the different characteristic of tank irrigation in the saline zone, ii) To judge the overall status of tanks in saline zone, iii) To investigate the performance of the tanks and factor affecting it, iv) To analyze tank management practices. Three blocks namely Patharpratima, Mathurapur-II and Kakdwip in the district of South 24 Parganas that are close to Bay of Bengal and fall in the saline zone have been selected for the present study. A total 65 water bodies consisting of 30 large tanks (khal) and 35 small tanks in 21 villages have been undertaken for the present study. Three hundred farmer households have been surveyed in the selected sites of South 24 Parganas. Different methodologies like Multiple Regression Analysis, Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA) have been used for the analysis of the data according to the objectives of the study. The result shows that large command area, proper management and less number of benefited families are significant variables for the higher tank productivity. In case of other variables, they have expected sings, but are not significant. It is also understood that socio-economic aspects like education, age etc. play crucial role in farmers' willingness to pay (WTP) for tank water. Farmer's WTP for tank water is found to be influenced by farmers' annual income, command area and distance from the fields. In the efficiency analysis, average efficiency scores of the water bodies have been calculated as 0.53. The minimum efficiency and standard deviation are 0.14 and 0.33 respectively. Seven water bodies which achieved 100% efficiency. From the Principal Component Analysis of farmer's participation in water body irrigation management it has been found that well maintained channels, proper maintenance, adequate water supply, sufficient effort are much needed for irrigation management and these are the decision making factors. Finally, the findings suggest that proper government policy and irrigation management have to be developed for the restoration of tanks is necessary to increase tank productivity in the study area.</description>
    <dc:date>2020-12-03T00:00:00Z</dc:date>
  </item>
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