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Warehousing vidarbha
1. Presentation
On
ComparativeAnalysis of Public and
Private Food Grain Warehousing in
Vidarbha
M.M.KADAM, Ph.D., Student, Agricultural Economics,
POST GRADUATE INSTITUTE
DR. PANJABRAO DESHMUKH KRISHI VIDYAPEETH
AKOLA (M.S.) – 444 104
,
2. ADVISORY COMMITTEE
• 1. Chairman Dr. R.G .Deshmukh
• 2. Member Dr. V. K. Khobarkar
• 3. Member Dr. S .C. Nagpure
• 4. Member Dr. S. M. Ghawade
• 5. Member Dr. S. W. Jahagirdar
3. INTRODUCTION
• Warehousing plays a very vital role in promoting agriculture
marketing, rural banking and financing and ensuring Food
Security in the county. It enables the markets to ease the
pressure during harvest season and to maintain uninterrupted
supply of agricultural commodities during off season. Hence, it
solves the problems of glut and scarcity, which are the usual
problems in agricultural marketing.
• Though warehousing is an independent economic activity, yet
is closely linked with production, consumption and trade.
Development of agro processing agricultural marketing
needs a strong warehousing system. Warehousing is the most
important auxiliary service for development of trade and
commerce.
4. PRODUCTION VS STORAGE
255 MILLON TONNES VS 108 MILLION TONNES
147 MILLION TONNES NEED
STORAGE………………………
WAREHOUSES
ARE MUST……………………..SO………….
WE STUDY……
5. Sr.No. Name of the Organization /Sector Storage Capacity in Million MTs
1. Food Corporation of India (FCI) 32.05
2. Central Warehousing Corporation (CWC) 10.07
3. State Warehousing Corporations (SWCs) 21.29
4. State Civil Supplies 11.30
5. Cooperative Sector 15.07
6. Private Sector 18.97
Total 108.75
Warehouse Storage Capacity in India
Source: Planning Commission Report
6. SERIAL NO. APMC (DIVISION) NAME CAPACITY (METRIC TONNES)
1. KOKAN 4786
2. NASHIK 15607
3. AMRAVATI 94204
4. NAGPUR 110850
5. KOLHAPUR 26150
6. LATUR 35150
7. AURANGABAD 47010
8. PUNE 66260
TOTAL 4,00,017
7. SERIAL
NO.
ORGANIZATIONS CAPACITY (METRIC
TONNES)
1 MAHARASHTRA STATE WAREHOUSING CORPORATION 1,24,5000
2 MAHARASHTRA STATE COOPERATIVE MARKETING
FEDERATION
2,71,000
3 COTTON MARKETING FEDERATION OF MAHARASHTRA 73,940
TOTAL 15,89,940
Source: http//www.mswarehousing.com
8. OBJECTIVES
• To study the investment pattern in different types of
warehouses.
• To analyse the profile of commodities stored in the
warehouses.
• To evaluate the economic, technical, and financial feasibility of
the warehousing.
• To identify the constraints and suggest the remedial measures.
9. METHODOLOGY
• The Vidarbha region of Maharashtra state has been
considered for the study to provide representative sample to
consider the unique characteristics covering diversified
regions in the Maharashtra State. The public undertaking
under the Government of Maharashtra the largest
warehousing services is catering to the large population in the
state. Hence, it was imperative to select the Maharashtra
State Warehousing Corporation purposively for the
investigation.
10. METHODOLOGY
• The private undertaking under the Vidarbha region of
Maharashtra is occupied by Buldhana Urban warehousing
services. Hence, it was imperative to select the Buldhana
Urban warehouses purposively for the investigation.
11. Methodology
• A total of 180 warehouses were selected purposively at the
rate of 60 warehouses in each agro climatic zones covering
Vidarbha region for comparative analysis. The warehouses
were selected based on the capacity and quantum of
commodities (tonnages) stored in the godowns in the study
area.
• Total 94 Warehouses were selected i.e; 47 government
warehouses and 47 private warehouses respectively.
12. METHODOLOGY
• The primary source of data was specially collected so as to
elicit the first hand information about the functioning of godowns
and Maharashtra State Warehousing corporation and also problems
encountered by the user group, owners of private godowns and the
officials of Maharashtra State Warehousing Corporation.
• The secondary source of data was collected to evaluate the
investment pattern, profit arised from different commodities
stored, to work out the financial feasibility, economic viability.
• The data pertaining to establishment charges and maintenance
cost like rent of godowns, equipments, insurance, disinfestation
charges, number of warehouses, capacity (owned, hired and total),
commodity-wise utilization, depositor-wise utilization, paid- up
capital, total assets, gross receipts, expenditure and profit,
miscellaneous expenditure etc. of the selected warehouses was
collected for the period from 2000-01 to 2011-12.
13. Methodology
• Simple tabular analysis was followed to analyse the
investment profile, profile of different commodities stored,
composition of user groups, capacity utilization and
constraints faced by users and warehouse operators in
functioning of warehouse services.
• In order to study the financial feasibility discounted cash flow
technique involving internal rate of returns (IRR), benefit:cost
ratio (BCR) and net present worth (NPW) was used.
• Stochastic Frontier Model was used to calculate economic
performance of warehousing.
26. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.245*** 0.130 21.08
Warehousing
Cost
β2
0.068*** 0.034 9.525
Invested Capital β3 0.546* 0.213 2.011
Number of
Employees
β4
1.147** 0.147 2.559
Wages of
Workers
β5
0.4788*** 0.119 7.782
Inventory β6 1.125*** 0.125 3.998
2001 ơ 1.153*** 0.565 8.978
Mean
Efficiency 0.540
EFFICIENCIES OF VARIABLES OBSERVED IN PUBLIC
WAREHOUSES
*** significance at 1 % , ** significance at 5 % , * significance at 10 %
27. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.587*** 0.441 5.179
Warehousing Cost β2 1.456*** 0.5617 3.598
Invested Capital β3 1.256** 0.365 2.592
Number of
Employees
β4
1.587*** 0.2687 3.441
Wages of Workers β5 1.156*** 0.538 5.908
Inventory β6 1.235* 0.1061 2.148
2002 ơ 2.592*** 1.382 11.639
Mean Efficiency
0.6286
*** significance at 1 % , ** significance at 5 % , * significance at 10 %
28. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 7.037*** 0.966 7.284
Warehousing Cost β2 1.362*** 0.265 5.133
Invested Capital β3 2.896* 1.325 2.185
Number of
Employees
β4
1.533*** 0.348 4.403
Wages of Workers β5 1.723*** 0.139 12.186
Inventory β6 1.209*** 0.163 7.420
2003 ơ 1.235*** 0.080 15.265
Mean
Efficiency 0.5521
29. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 7.022*** 0.972 7.224
Warehousing Cost β2 1.255*** 0.312 4.025
Invested Capital β3 3.302*** 0.186 17.715
Number of
Employees
β4
1.237*** 0.417 2.966
Wages of Workers β5 1.647*** 0.216 7.632
Inventory β6 1.023*** 0.336 3.049
2004 ơ 1.217*** 0.083 14.716
Mean
Efficiency 0.783
30. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 0.856*** 0.311 2.745
Warehousing
Cost
β2
3.425*** 1.102 3.107
Invested Capital β3 1.148*** 0.416 2.753
Number of
Employees
β4
1.647*** 0.215 7.632
Wages of
Workers
β5
1.956* 0.985 1.984
Inventory β6 2.985* 1.456 2.050
2005 ơ 0.782*** 0.174 4.489
Mean
Efficiency 0.559
31. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.515*** 0.304 4.974
Warehousing Cost β2 1.632*** 0.765 2.131
Invested Capital β3 1.545*** 0.492 3.137
Number of
Employees
β4
1.335*** 0.308 4.331
Wages of Workers β5 0.265 0.402 0.659
Inventory β6 0.469*** 0.109 4.297
2006 ơ 1.019*** 0.132 4.974
Mean
Efficiency 0.5321
32. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.195* 0.608 1.964
Warehousing
Cost
β2
1.985* 0.985 2.011
Invested Capital β3 1.856* 0.859 2.15
Number of
Employees
β4
1.869*** 0.216 8.620
Wages of
Workers
β5
0.369 0.623 0.592
Inventory β6 0.505*** 0.202 2.500
2007 ơ 0.774*** 0.2142 3.614
Mean
Efficiency 0.5781
33. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
1.056*** 0.335 3.149
Warehousing
Cost
β2
1.645* 0.8077 2.037
Invested Capital β3
1.233* 0.611 2.016
Number of
Employees
β4
1.762*** 0.263 6.697
Wages of
Workers
β5
0.856** 0.3376 2.538
Inventory β6
-0.2551 0.155 -1.645
2008 ơ
0.944*** 0.0813 11.613
Mean
Efficiency 0.5729
34. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 0.895*** 0.335 2.670
Warehousing
Cost
β2
1.645* 0.807 2.037
Invested Capital β3 1.256* 0.611 2.053
Number of
Employees
β4
1.762*** 0.263 6.700
Wages of
Workers
β5
1.112*** 0.3376 3.293
Inventory β6 1.23*** 0.115 10.697
2009 ơ 0.948*** 0.081 11.617
Mean
Efficiency 0.5748
35. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.789* 0.899 1.989
Warehousing
Cost
β2
2.568* 1.280 2.005
Invested Capital β3 1.302*** 0.230 5.658
Number of
Employees
β4
1.213* 0.471 2.574
Wages of
Workers
β5
1.856*** 0.269 6.899
Inventory β6 1.002*** 0.243 4.122
2010 ơ 0.490*** 0.100 4.858
Mean
Efficiency 0.9958
36. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.988*** 0.5822 3.414
Warehousing
Cost
β2
2.788* 1.397 1.995
Invested Capital β3 1.112*** 0.278 3.994
Number of
Employees
β4
0.608** 0.233 2.609
Wages of Workers β5 3.455*** 0.988 3.496
Inventory β6 0.598** 0.206 2.898
2011 ơ 0.440*** 0.089 4.933
Mean
Efficiency 0.9962
37. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 0.253*** 0.0525 4.793
Warehousing
Cost
β2
1.640*** 0.286 5.737
Invested Capital β3 0.884*** 0.1817 4.868
Number of
Employees
β4
1.832*** 0.0566 32.375
Wages of
Workers
β5
1.234*** 0.113 10.923
Inventory β6 0.897* 0.456 1.967
2012 ơ 1.182*** 0.166 7.102
Mean
Efficiency 0.576
38. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 0.752 0.498 1.509
Warehousing Cost β2 1.965* 0.895 2.195
Invested Capital β3 1.366* 0.588 2.319
Number of
Employees
β4
1.161*** 0.207 5.599
Wages of Workers β5 1.698** 0.605 2.804
Inventory β6 0.988** 0.399 2.473
Overall ơ 0.465** 0.1714 2.715
Mean
Efficiency 0.643
39. VARIABLE EFFICIENCIES OBSERVED IN PRIVATE
WAREHOUSES
Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 15.41*** 7.7983 1.976
Warehousing
Cost
β2
1.452*** 0.495 2.933
Invested Capital β3 0.874*** 0.122 7.163
Number of
Employees
β4
0.996*** 0.223 4.466
Wages of Workers β5 1.666* 0.6733 2.474
Inventory β6 1.566** 0.566 2.766
2001 ơ 0.5667* 0.275 2.060
Mean
Efficiency 0.4956
40. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 1.737*** 0.311 5.585
Warehousing Cost β2 2.003*** 0.407 4.921
Invested Capital β3 0.966** 0.407 2.373
Number of
Employees
β4
1.952* 0.995 1.962
Wages of Workers β5 1.522** 0.678 2.245
Inventory β6 1.652*** 0.486 3.399
2002 ơ 0.896*** 0.270 3.323
Mean
Efficiency 0.9808
41. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
21.533*** 1.566 13.75032
Warehousing Cost β2
0.899** 0.327 2.749235
Invested Capital β3
1.233* 0.5021 2.455686
Number of
Employees
β4
1.689** 0.6 2.815
Wages of Workers β5
1.478** 0.6466 2.285803
Inventory β6
1.366*** 0.441 3.097506
2003 ơ
1.223*** 0.316 3.870253
Mean Efficiency
0.6808
42. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 12.159** 4.508 2.697205
Warehousing Cost β2 1.156*** 0.2137 5.409453
Invested Capital β3 1.233*** 0.346 3.563584
Number of
Employees
β4
1.999*** 0.485 4.121649
Wages of Workers β5 0.889*** 0.233 3.815451
Inventory β6 0.696* 0.306 2.27451
2004 ơ 0.845*** 0.25 3.38
Mean
Efficiency 0.996
43. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
13.181*** 4.299 3.066
Warehousing Cost β2
0.596* 0.249 2.394
Invested Capital β3
1.220*** 0.319 3.829
Number of
Employees
β4
0.669*** 0.207 3.232
Wages of Workers β5
1.975* 1.002 1.971
Inventory β6
1.223*** 0.334 3.662
2005 ơ
0.888*** 0.254 3.496
Mean
Efficiency 0.9983
44. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
20.633*** 6.059 3.405
Warehousing
Cost
β2
1.222*** 0.343 3.563
Invested Capital β3
1.045* 0.424 2.465
Number of
Employees
β4
0.999*** 0.203 4.921
Wages of Workers β5
1.585*** 0.623 2.546
Inventory β6
0.258* 0.121 2.132
2006 ơ
2.888* 1.456 1.984
Mean
Efficiency 0.994
45. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
5.998* 2.890 2.075
Warehousing Cost β2
2.001*** 0.447 4.477
Invested Capital β3
0.888* 0.374 2.374
Number of
Employees
β4
0.540** 0.211 2.559
Wages of Workers β5
1.455* 0.706 2.061
Inventory β6
2.085*** 0.259 8.066
2007 ơ
0.656* 0.298 2.204
Mean
Efficiency 0.659
46. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
7.858*** 1.643 4.784
Warehousing Cost β2
1.252*** 0.335 3.737
Invested Capital β3
1.645** 0.807 2.038
Number of
Employees
β4
1.222* 0.611 2.000
Wages of Workers β5
1.762*** 0.263 6.700
Inventory β6
1.577*** 0.337 4.680
2008 ơ
1.333*** 0.150 8.887
Mean
Efficiency 0.5729
47. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
13.722*** 3.066 4.476
Warehousing
Cost
β2
2.222*** 0.121 18.364
Invested Capital β3
1.212*** 0.210 5.771
Number of
Employees
β4
1.321*** 0.299 4.414
Wages of Workers β5
1.555*** 0.377 4.125
Inventory β6
1.996*** 0.556 3.590
2009 ơ
1.555*** 0.666 2.335
Mean
Efficiency 0.999
48. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1 9.463* 4.112 2.301
Warehousing Cost β2 1.327*** 0.244 5.439
Invested Capital β3 1.985* 0.986 2.013
Number of
Employees
β4
0.891 0.475 1.876
Wages of Workers β5 -0.411 0.590 -0.697
Inventory β6 1.571*** 0.369 4.259
2010 ơ 1.522*** 0.283 5.378
Mean
Efficiency 0.579
49. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
13.160* 5.744 2.291
Warehousing
Cost
β2
0.989*** 0.326 3.034
Invested Capital β3
1.442*** 0.420 3.433
Number of
Employees
β4
0.855*** 0.211 4.052
Wages of
Workers
β5
1.333* 0.622 2.143
Inventory β6
1.211*** 0.222 5.455
2011 ơ
1.255* 0.588 2.134
Mean
Efficiency 0.566
50. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
9.666* 4.266 2.266
Warehousing Cost β2
1.002*** 0.089 11.258
Invested Capital β3
1.421** 0.561 2.533
Number of
Employees
β4
1.272*** 0.482 2.639
Wages of Workers β5
1.000 0.600 1.667
Inventory β6
1.474* 0.725 2.033
2012 ơ
4.225*** 1.321 3.198
Mean
Efficiency 0.532
51. Variables Particulars
Coefficient
Standard
Error t value
Working Capital β1
1.444*** 0.058 24.726
Warehousing
Cost
β2
0.190*** 0.015 12.513
Invested Capital β3
1.222*** 0.099 12.368
Number of
Employees
β4
1.346*** 0.225 5.982
Wages of
Workers
β5
1.123*** 0.060 18.820
Inventory β6
1.233*** 0.131 9.398
Overall ơ
1.012*** 0.131 7.713
Mean
Efficiency 0.515
54. CONCLUSIONS
• Investment pattern in Public Warehouses, shows that Fixed Cost
comprises (60 per cent) followed by 39.17 per cent variable cost.
• Investment pattern in Private Warehouses, shows that Fixed Cost
comprises (73.55 per cent) followed by 26.45 per cent variable cost.
• Economic Viability shows that Public Warehouse has Net Present
Worth Rs. 457360.4, followed by B:C Ratio 1.12 and Internal Rate of
return 56.7 per cent.
• Economic Viability shows that Private Warehouse has Net Present
Worth Rs. 5561085,followed by B:C Ratio 3.02 and Internal Rate of
return 43.3 per cent.
• Public Warehouses have profile of 50.00 per cent Rice, 38.8 per cent
Wheat, 3.8 per cent Pulses, 5.4 per cent Oilseeds and 1.8 per cent
other commodities stored in it.
• Private Warehouses have profile of 44.87 per cent Rice, 31.54 per
cent Wheat, 8.11 per cent Pulses, 7.34 per cent Oilseeds and 6.34
per cent other commodities stored in it.
55. CONCLUSIONS
• High storage charges, Small quantity, Delay in getting storage
space, Delay in getting storage space, Price fluctuations and
Lack of awareness are major constraints faced by farmers
through Public and Private Warehouses.
• The Overall technical Efficiency of Public Warehouses is 64.30
per cent, where invested Capital (1.366*), Warehousing Cost
(1.965*), No. of Employees (1.161***), Wages of Workers
(1.698**) variables are efficiently utilised.
• The Overall technical Efficiency of Private Warehouses is
51.50 per cent, where invested Capital (1.22***),
Warehousing Cost (0.190***), No. of Employees (1.346***),
Wages of Workers (1.22***) variables are efficiently utilised.