All-India rural credit survey: District monograph, Osmanabad
All-India rural credit survey: District monograph, Osmanabad
All-India rural credit survey: District monograph, Osmanabad
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CREDIT AGENCIES 41<br />
<strong>credit</strong>. The share of Government, already small in the outstanding debt, is not<br />
any smaller in the borrowings. The loans from Government, thus, do not seem to<br />
possess any special features from this standpoint. The same is more or less true<br />
of the share of the co-operatives. Their share is slightly larger in the borrowings<br />
than in the outstanding debt. This would indicate that the co-operative <strong>credit</strong> was<br />
predominantly short-term. But their shares both in the borrowings and in the<br />
outstanding debt are so small that a comparison between the two for this purpose<br />
would not be trustworthy.<br />
TABLE S.l-PERCENTAGE DISTRIBUTION OF BORROWING ACCORDING TO<br />
CREDIT AGENCY<br />
[General Schedule data)<br />
PROPORTION 0' BORROWINOS ACCORDlIIO TO CBBDIT AGIINCY<br />
Total<br />
(PER CliNT)<br />
bor.<br />
row- Land·<br />
Al!I"lcuI· Profes-<br />
Traden<br />
Group inll p.r<br />
Govem-<br />
Co-<br />
B<strong>All</strong>alords<br />
turlst slonal<br />
and Comf.mll,<br />
ment<br />
operatives<br />
(To<br />
money- moneycom-<br />
mercial Othen<br />
tlvea tenants)<br />
lenden lenden<br />
mission banks<br />
(R.) only agents<br />
--1---2--3--,--5--6--7--8- -11- -1-0-<br />
---------I-----------<br />
Big cultlvaton .. .... 112 1·6 1·1 22·6 0·5 18·0 8·5 16·3 - 1·4<br />
Large cult1vaton ..•... 373 2·2 1'0 22·8 0·3 51·6 1·8 13·0 - 1·3<br />
Medlnm cultlvaton .... 156 :·6 0·3 28·1 0·6 61·3 6·7 6·5 - :·3<br />
Small cult1vaton .. .. I., 0·1 - 35·1 - 66·1 4·1 3·1 - 0·9<br />
<strong>All</strong> cultlvaton .•.•.. 207 :·1 0·6 24·9 0·4 61·0 6·9 9'5 - 1·6<br />
Non-cultlvaton ••• .. 61 0·1 - 32·9 0·4 63·1 8·8 4·4 - 0·3<br />
<strong>All</strong> '.mlll •....... 142 1·7 O·S 26·S 0·4 53·1 7·3 I'S - 1·3<br />
5.5 We shall now present the corresponding data from the intensive enquiry<br />
on the sample of cultivators. We shall use these mainly to study the compositions<br />
of the loans made by the different <strong>credit</strong> agencies according to the purpose of these<br />
loans, the nature of the security demanded and the rates or" interest charged. For<br />
this purpose, it will be necessary to cross-classify the loans made by the different<br />
<strong>credit</strong> agencies according to the purpose, or by the security or by the rate of interest.<br />
On account of the small size of the data from the intensive enquiry, it will not be<br />
possible to obtain these cross-classifications for the cultivators of the upper strata<br />
and for the cultivators of the lower strata separately. In subsequent discussion<br />
we shall not, therefore, maintain the distinction between the two classes of cultivators<br />
as we did in the pre.vious chapter while presenting the data from the intensive<br />
enquiry; instead we shall present the data for all the cultivators put together. We<br />
shall, nevertheless, maintain the distinction, as we did in the previous chapter,<br />
between the amount outstanding for more than one year and the loans borrowed<br />
during the year .. We shall keep distinct these two categories of loans and examine<br />
their composition by the <strong>credit</strong> agency and by other characteristics.<br />
5.6 We shall begin by examining the amounts remaining outstanding for<br />
more than one year. In Table 5.3, we give their distribution according to the<br />
<strong>credit</strong> agency and according to the purpose. The table is divided into two halves.<br />
In the first half, we show the percentage distribution according to the purpose of