<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>05514nam a2200193Ia 4500</leader>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">26331</subfield>
    <subfield code="d">26331</subfield>
  </datafield>
  <controlfield tag="003">OSt</controlfield>
  <controlfield tag="005">20220218142307.0</controlfield>
  <controlfield tag="008">140128s9999    xx            000 0 und d</controlfield>
  <datafield tag="082" ind1=" " ind2=" ">
    <subfield code="a">334</subfield>
    <subfield code="b">SAL/EN</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Sali P S</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Enquiry into the non-perfoming advances of primary co-operative agricultural and rural developement banks in Southern Kerala</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">Vellanikkara</subfield>
    <subfield code="b">Department of Co- operative Management, College of Co- operation, Banking and Management</subfield>
    <subfield code="c">1998</subfield>
  </datafield>
  <datafield tag="502" ind1=" " ind2=" ">
    <subfield code="b">MSc</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
    <subfield code="a">The study entitled" An enquiry into the Non-Performing Advances 
of Primary Cooperative Agricultural and Rural Development Banks in 
Southern Kerala" was conducted with the following objectives: 
	1 . 	To examine the causes of Non-performing Advances of Primary 
Co-operative Agricultural and Rural Development Banks in Southern 
Kerala 
2.	To inquire into the present loan recovery system of these banks in 
Southern Kerala 
The study was confined to the three PCARDBs in southern Kerala 
viz., PCARDB Neyyattinkara (B1), PCARDB Cherthala (B2) and PCARDB 
Irinjalakkuda (B3). The sample frame comprises of 150 respondents ie., 50 
borrowers from each bank at random of which 40 are defaulters and 10 are 
non-defaulters as a control group. The bank officials and employees were 
also interviewed to gather informations on the present loan recovery 
practices in these banks. Statistical tools like simple correlation, chi-square 
test, percentages, efficiency index, sample averages, weighted mean and 
bi-variate tables were used in the analysis. 
With regard to all sample banks, the sudden increase in NPAs was 
found after the year 1989, which can be attributed to the loan waiver policy 
of the then central Government which inhibited the loanees to make prompt 
 
repayments in expectation of another round of write-off. The NPAs above 
three years or hardcore NPAs were lower in percentage for all the sample 
banks during the period under reference and except 83, the other banks 
, 
were running on absolute loss. 
	. 	, 
The comparison of NPAs on different occupational classes revealed 
that with regard to 81 there exists significant relationship between NPAs 
and occupational classes like industry, services, business and agricultural 
labourers and in the case of 82 there is statistically significant relationship 
with agricultural and service class. The occupational classes such as 
agricultural and business classes have a significant relationship with NPAs 
in the case of 83. 
It has been found that the defaulters having an annual income above 
the subsistence level were showing more NPAs in the cases of 81 and 82. 
This establishes that even after having sufficient income they are wilfully 
committing more dues. With regard to the borrowers having land holding 
size above 50 cents, the nature of wilful default can be observed in the 
cases of 81 and 83. This highlights the need for categorising them under 
the group of wilful defaulters. But with regard to the educational level and 
NPAs of defaulters,.though most of them are having an educational status 
above secondary level in all the cases of 81, 82 and 83, they are not 
statistically related with NPAs. 
It was observed that lack of adequate securities to hypothicate, 
procedural delays and inadequate assistance from banks inhibited the 
defaulters and non-defaulters in getting timely loans. It has been found that 
inadequacy of income, illness of family members and consequent diversion 
 
	
 
of income, hope for write-off policy, conspicuous consumption" defective 
loaning policies and lack of access to consumption loans are the major 
reasons for non-repayment of loans and advances by borrowers. While 
analysing the efficiency of its present loan recovery system, it was also 
found that in all the cases, the index value was lower when compared to 
other indices which denotes that even in the opinion of bank officials, there 
is something more to be perfected in the loan recovery system. From the 
interbank comparison, it was found that B3 is outstanding in the case of 
loan recovery management. 
According to the officials and employees of the banks, the reasons 
for poor recovery performance were the inefficiency of legal machinery for 
recovering dues from borrowers, lack of adequate staff for field supervision 
and loan appraisal and absence of skilled and professionalised managers for 
recovery management. As a remedial measure',' to minimise NPAs, certain 
steps have to be taken by financial institutions and the government. The 
improper relief measures such as loan right-off, should not be resorted to. 
Coercive action against wilful defaulters and incentives for proper 
repayment should be effected. Before advancing any loans proper 
processing and towards that end a proper loan appraisal cell with 
professionalised personnel is suggested. In addition to this, an effective 
loan monitoring cell and NPA management cell has to be established. The 
legal machinery should be strengthened and autonomy to the cooperatives 
would be given atleast to enable them with the right to take necessary 
-declslons for the better management of NPAs. 

</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Jose A M (Guide)</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://krishikosh.egranth.ac.in/handle/1/5810101418</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://krishikosh.egranth.ac.in/displaybitstream?handle=1/5810101418&amp;fileid=e1bd8234-9e39-441a-aa23-76638b04a7c0</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">ddc</subfield>
    <subfield code="c">TH</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="2">ddc</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="a">KAUCLV</subfield>
    <subfield code="b">KAUCLV</subfield>
    <subfield code="c">THESES</subfield>
    <subfield code="d">2014-03-18</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">334 SAL/EN</subfield>
    <subfield code="p">171379</subfield>
    <subfield code="r">2014-03-18 00:00:00</subfield>
    <subfield code="w">2014-03-18</subfield>
    <subfield code="y">TH</subfield>
  </datafield>
</record>
