An investigative study of the performance of public distribution system in Kohima district, Nagaland state
Evothung Ezung1*, PK Deka2
1 Research Scholar, Department of Commerce, Nagaland University, Nagaland, India
2 Professor, Department of Commerce, Nagaland University, Nagaland, India
Abstract
In this paper a few findings of an empirical investigation conducted to assess the performance of public distribution system (PDS) in Kohima district of Nagaland is briefly discussed. The assessment is done based on information collected from both sampled beneficiaries of the scheme and Fair Price Shops (FPSs) dealers through personal interviews with the help of questionnaire framed based on pertinent issues such as irregularities in the implementation of PDS, uneven distribution of kinds and quantities of ration items, arbitrary pricing problems, gap between required quantity and obtained quantity, income transfer due to PDS, reasons of dissatisfaction of beneficiaries, functioning of FPS, major problems faced by beneficiaries and FPS dealers, anomaly in identification of beneficiaries, inclusion error, etc. Besides, a few questions to understand socio-economic condition of the beneficiaries are also included. The paper has presented a number of defects in the implementation of PDS in the district as well as indispensable role of PDS in ensuring food security for economically weaker section of the region to a certain extent.
Keywords: Fair Price Shops, Income Transfer, National Food Security Act, Public Distribution System, Ration Items, Stratified two-stage Sampling
Introduction
India’s public distribution system (PDS) is the world’s largest food subsidy program as well as distribution network aimed at ensuring food (DEPD, 2017) [3] & (WEP, 2017) [10] and nutritional security to all the people of India which is home of large population of hungry and malnourished people. Moreover, since the enactment of National Food Security Act (NFSA), 2013, the scope of PDS has been widened with the increase of level of subsidies and expansion of coverage upto 75% of the rural population and upto 50% of urban population, thus two third of the population of India has been covered for receiving subsidised food grains under Targeted Public Distribution System (TPDS). Although PDS has the potential to eradicate food insecurity in the country, the program has still been affected with operational inefficiencies, corruption, arbitrary pricing by dealers, irregularity in delivery of foodgrains, distribution of low quality foodgrains, ineffective grievance redressal, etc. Hence PDS has not been able meet its objective of ensuring food security to all the citizens of the country. PDS has been the sole program for providing access to adequate food to the hungry and nutrionally challenged people, but the problems associated with it in its implementation have remained a hard nut to crack national issue. When this issue is observed in the context of Nagaland state, several studies and reports have highlighted rather grim situation. Gulati and Saini (2015) [4] estimated the average leakage from off-taken foodgrains of PDS in the country to be 46.7 percent in the year 2011-2012. In their state-wise leakage estimation, Nagaland state was shown to have 94.7% percent leakage of PDS off-taken foodgrains in the same year.
Gupta (2014) [5] estimated state-wise kerosene leakage from PDS based on data from the 68th round of National Sample Survey pertaining to 2011-12 in which all India level average leakage was shown to be around 45% whereas Nagaland state’s leakage was estimated to be 96.6%. Over and above, the report of the audit conducted by Comptroller and Auditor General of India during the period from 2005 to 2011 had unearthed serious irregularities in the operational activities and management of PDS. The report stated the performance of PDS suffered seriously due to various factors among which serious flaw in beneficiaries’ list due to which 41% of deserving households remained outside the PDS. This deprivation was due to non-conducting of any baseline survey for addition/deletion of eligible/ineligible beneficiaries. Moreover, the department issued cards randomly, large scale diversion of foodgrains to open market was shown; allocation of foodgrains to non-existent institutions, hostels and Village Grain Banks, short allocation, short lifting and delayed distribution of foodgrains, charging higher rates and inadequate infrastructure etc., had seriously affected implementation of PDS in the state (CAG, 2011) [1]. Moreover, proper functioning of PDS scheme in the state like Nagaland, where 36.82% of rural population and 29.39% of urban population, i.e., 33.83% in the average of total population (Jamir and Ezung, 2017) [6] are living below poverty line, is vitally important. Taking into consideration all these prior information, an empirical investigation has been conducted in Kohima district of Nagaland to assess the performance of PDS in the district. In this paper, flaws and efficacies, strengths and weaknesses of the functioning of PDS are summarily analysed and presented. The paper also offers some recommendations for remedying the flaws and enhancing the effectiveness.
Methodology
The study is empirical in which information are collected with the help of questionnaire, framed based on significant problems relevant to the functioning of PDS, from the sampled households and all FPS dealers of the sampled villages of the district. The questions in questionnaire are made so as to draw information on income of households, educational status of the highest educated member in the family, price, quantity and variety of ration items obtained from FPSs, price in open market, problems faced by beneficiaries and FPS dealers, perceived impact on livelihood and food security, regularity/irregularity in the distribution foodgrains from FPSs, gap between requirement and obtained quantity etc. Statistical test is used in a few data analysis.
Sampling Design
Stratified two-stage sampling design (Singh and Chaudhary, 1995) [8] is used in the survey. List of villages of in district along with their respective total number of households is prepared for first stage sampling frame. Then, the villages of the district are stratified optimally into four numbers of strata based on village sizes (number of households) by using Dalenius’s (1950) [2] equations for optimum stratification. The number of strata in this case is arbitrarily chosen by seeing the nature of heterogeneity of villages’ sizes. 20% of the population of villages is taken as first stage sample. The selection of samples from each strata is done with optimum allocation of sample sizes from different strata by using Tschuprow (1923) [9] and Neyman (1934) [7] optimum allocation, samples are selected from each of the four strata by simple random sampling without replacement (SRSWOR) design and sum total of samples from all strata is the sample of first stage sampling.
Thus sample of first stage units (fsu’s), i.e., villages have been selected. Then data of PDS beneficiary households of all those selected villages are collected by personally going to the field and contacting Village Headman, Church Organisations and Village Councils of the selected villages. Thus, we prepare second stage sampling frame with beneficiary households of all the selected villages as second stage sampling units. In the second stage sampling, second stage units (ssu’s) are selected from the sampling frame of ssu’s (list of beneficiary households) for each of the selected villages, 15% of households are selected by SRSWOR method from each selected village. Thus from Kohima district, 19 villages are selected from the total 91 villages and 813 beneficiary households are selected from the 19 selected villages. Field survey is done by interviewing with each of the 813 selected households.
Findings and Discussion
Educational status, occupation and income of PDS beneficiary households
In the survey, it is found that 64.32% of priority households (PHH), 68.51% of Antyodaya Anna Yojana (AAY) households and 34.04% of card-less beneficiary households have household members of educational qualification under metric. 23.55% of PHH, 32.9% of AAY households and 12.76% of card-less beneficiary households have all the family members illiterate. This finding on educational status of beneficiaries has shown the section of the population is extremely educationally backward. On investigating nature of occupation of the beneficiaries, 63.47% are agricultural and non-agricultural labours and landless farmers. However 5.5% of the beneficiaries are govt. employees who are still taking benefits of PDS due to inclusion error. Taking into account education, income and nature of occupation of the beneficiaries, we have observed that this section of people is certainly vulnerable section. While investigating income of the households, we have unearthed inclusion error too. When we set the parameter for exclusion as the households having income above Rs. 10000 per month must be excluded from beneficiaries’ list, we observe 29.35% of PHH and 28.93% of AAY households, i.e., altogether 29.24% beneficiaries are found to be ineligible.
Price, Quantity and Ration Items
None of the beneficiary households are getting foodgrains according to norms of NFSA, 2013 or TPDS prior to NFSA with regard to price, quantity allocation, and kinds of ration items. Exhaustive information on price, quantity and kinds of ration items from the sample households of sample villages are given as follows:
According to the respondents of Teichuma village of Botsa block of Kohima district, the beneficiaries are getting ration items 25 kg of rice, 3 kg of sugar and 3 kg of dal for every family in every month. They pay Rs. 3 per kg of rice, Rs. 25 per kg of sugar and Rs. 46 per kg of dal. In the Chiephobozou block, a total of 51 households are selected from four sample villages viz., Nachama, Rusoma, Viphoma and Ziezou. In Nachama village, villagers are getting ration items 25 kg of rice, 3 kg of sugar, 3 litres of kerosene oil and 3 kg of dal per family every month. The prices they pay for the ration items are Rs. 3 per kg for rice, Rs. 25 per kg for sugar, Rs. 40 per litre for kerosene oil and Rs. 45 per kg for dal. In Rusoma village, beneficiaries are getting ration items 5 kg rice per family member, 2 kg sugar, 2 kg dal and 2 litres kerosene oil per household in every month. In this village, the price they pay for ration items are Rs. 6 per kg for rice, Rs. 35 per kg for sugar, Rs. 40 per litre for kerosene oil and Rs. 60 per kg for dal. In Viphoma village, beneficiaies are getting ration items 20 kg of rice, 3 kg of sugar, 5 litres of kerosene oil and 3kg of dal per family in every month. The prices the villagers pay for ration items are: Rs. 4 per kg for rice, Rs. 30 per kg for sugar, Rs. 40 per litre for kerosene oil and Rs. 50 per kg for dal. In Ziezou village, beneficiaries are getting ration items 16 kg of rice, 2 kg of sugar, and 2 kg of dal per family in every month. The prices they pay for ration items are Rs. 8 per kg for rice, Rs. 40 per kg for sugar, Rs. 45 per litre for kerosene oil and Rs. 70 per kg for dal.
From the Chunlikha block, 112 households are selected from three sample villages viz., Ehunnu, Sishunu and Tesophenyu. In Ehunnu and Sishunu villages, quantity of distribution of ration items is not uniform in terms of per household or per person, some people get more quantity per household or per person and some other people get less quantity. Although they are collecting ration items every month, the distribution process is done neither on the basis of per household nor per family member. Secondly, both the Ehunnu and Sishunu village people pay Rs. 5 per kg for rice, Rs. 25 per kg for sugar, Rs. 35 per litre for kerosene oil and Rs. 50 per kg for dal. In Tesophenyu village, people are getting ration items 25 kg of rice per family, 2 litre of kerosene oil and 2 kg of dal per family, no sugar is supplied in this village. In Tesophenyu village, people are collecting ration items in every month. They pay the prices as Rs. 4 per kg for rice, Rs. 50 per litre for kerosene oil and Rs. 50 per kg for dal.
From the Jakhama block, six villages are selected, they are Khuzama, Phesama, Viswema, Kezoma, Kidima, and Kigwema. In Khuzama village, beneficiaries are not getting ration items in uniform quantity, they are getting only rice and sugar, no dal and kerosene are supplied to them. The ration items are supplied irregularly, so periods of distribution are not mentioned clearly. The prices they pay are Rs. 5 per kg for rice and Rs 25 per kg for sugar. In Phesama village beneficiaries are getting ration items - 4 kg of rice per family member, 1.5 kg sugar per household and 2.5 litres kerosene oil per household. The ration items are collected by the beneficiaries in every month. They pay prices - Rs. 5 per kg for rice, Rs. 40 per kg for sugar, and Rs. 50 per litre for kerosene oil. In Viswema village, beneficiaries are getting quantity of ration items as 25 kg of rice per family, 2 kg of sugar per family and 1 litre of kerosene oil and 2 kg of dal per family. The ration items are collected by the beneficiaries every month. They pay the prices as Rs. 5 per kg for rice, Rs. 30 per kg for sugar, Rs. 40 per litre for kerosene oil and Rs. 50 per kg for dal. In Kezoma village, beneficiaries are getting quantity of ration items as 20 kg of rice per family and 3 kg sugar to per family. The ration items are collected by the beneficiaries every month. They pay the prices - Rs. 5 per kg for rice, and Rs. 30 per kg for sugar. In Kidima village, beneficiaries are getting quantity of ration items as 4 kg of rice per family member, 1 kg of sugar per family and 4 litres of kerosene oil per family. The ration items are collected by the beneficiaries every month. The prices they pay are: Rs. 5 per kg for rice, Rs. 28 per kg for sugar, and Rs. 40 per litre for kerosene oil. In Kigewma village, beneficiaries are getting quantity of ration items as 5 kg of rice per family member, 1 kg of sugar per family and 1 litre of kerosene oil per family. The ration items are collected by the beneficiaries every month. They pay the prices as Rs. 6 per kg for rice, Rs. 35 per kg for sugar, and Rs. 40 per litre for kerosene oil.
From Kohima block, one village viz., Kohima village is selected from which a sample of 215 households is selected. In this village, beneficiaries are getting quantity of ration items as 5 kg of rice per family member, 2 kg dal, 3 kg sugar and 1 litre of kerosene per family. They pay the prices of ration items as Rs. 3 per kg for rice, Rs. 30 per kg for sugar, Rs. 50 per kg for dal and Rs 50 per litre of kerosene. beneficiaries of this village are collecting ration items every month.
From the Sechu/Zubza block, one village named Menguzuma is selected from which a sample of 9 households is taken, beneficiaries of this village are getting quantity of ration items as 5 kg of rice per family member, 3 kg of sugar, 1.5 litres of Kerosene oil and 3 kg of dal per family in every month. In Menguzuma village, beneficiaries pay the prices of ration items as, Rs. 3 per kg for rice, Rs. 25 per kg for sugar, Rs. 40 per litre for kerosene oil and Rs. 50 per kg for dal.
From the Tseminyu block, three villages are selected viz., Tseminyu, Ngvuphen and Zisunyu from which 52 households are selected. In Tseminyu village, beneficiaries are getting quantity of ration items as 25 kg of rice per family and 3 kg of sugar per family every month. In Tseminyu village, the beneficiaries pay the prices of ration items as Rs. 4 per kg for rice and Rs. 55 per kg for sugar. In Ngvuphen village, beneficiaries are getting quantity of ration items as 5 kg of rice per family member, 3 kg of sugar and 3 kg of dal per family every month. In Ngvuphenu village, the prices they pay for ration items are: Rs. 5 per kg for rice, Rs. 25 per kg for sugar, and Rs. 50 per kg for dal. In Zisunyu village, beneficiaries are getting quantity of ration items as 4 kg of rice per family member, 2 kg of sugar, 2 litres of kerosene oil and 2 kg of dal per family every month. In Zisunyu village, the prices for ration items are: Rs. 3 per kg for rice, Rs. 45 per kg for sugar and Rs. 55 per kg for dal. Thus, we have seen that in matters of price, quantity allocation, kinds of items, no uniform pattern is followed. Every FPS has its own arbitrary price, allocation and kinds of ration items. Regarding gap between required quantity and obtained quantity, Table 1(a) provides the detail.
Table 1: Average required quantity and obtained quantity from ration shop and gap between them (calculated for monthly basis), Kohima district
|
Blocks |
Villages |
Village-wise Average Quantity Obtained from FPS (Monthly) |
Village-wise Average Quantity Required from FPS (Monthly) |
Gap between Required and Obtained Quantity (Monthly) |
|||||||||
|
Rice |
Sugar |
Dal |
Kerosene |
Rice |
Sugar |
Dal |
Kerosene |
Rice |
Sugar |
Dal |
Kerosene |
||
|
Botsa |
Teichuma |
25 |
3 |
3 |
0 |
48 |
4 |
5.18 |
3 |
23 |
1 |
2.18 |
3 |
|
Chiephobozou |
Nachama |
25 |
3 |
3 |
3 |
42 |
3.5 |
6.15 |
3.75 |
17 |
0.5 |
3.15 |
0.75 |
|
Rusoma |
25 |
2 |
2 |
2 |
49.43 |
4.9 |
7.68 |
4 |
24.43 |
2.9 |
5.68 |
2 |
|
|
Viphoma |
20 |
3 |
3 |
5 |
42.28 |
5.28 |
6.63 |
3.96 |
22.28 |
2.28 |
3.63 |
-1.04 |
|
|
Ziezou |
16 |
2 |
2 |
0 |
40 |
3.5 |
4.51 |
5.33 |
24 |
1.5 |
2.51 |
5.33 |
|
|
Chunlika |
Ehunnu |
35 |
4 |
3 |
0 |
51.2 |
6.4 |
7.07 |
4.7 |
16.2 |
2.4 |
4.07 |
4.7 |
|
Sishunu |
25 |
4 |
3 |
1 |
47.69 |
5.07 |
5.82 |
4.46 |
22.69 |
1.07 |
2.82 |
3.46 |
|
|
Tesophenyu |
25 |
0 |
2 |
2 |
55.28 |
4.6 |
5.64 |
4.1 |
30.28 |
4.6 |
3.64 |
2.1 |
|
|
Jakhama |
Khuzama |
21 |
3 |
0 |
0 |
47.75 |
4.72 |
7 |
3.76 |
26.75 |
1.72 |
7 |
3.76 |
|
Phesama |
20 |
1.5 |
0 |
2.5 |
53.52 |
4.46 |
6.79 |
3.58 |
33.52 |
2.96 |
6.79 |
1.08 |
|
|
Viswema |
25 |
2 |
2 |
1 |
49.76 |
5.01 |
6.24 |
3.82 |
24.76 |
3.01 |
4.24 |
2.82 |
|
|
Kezoma |
20 |
3 |
0 |
0 |
58.92 |
5.45 |
6.99 |
3.63 |
38.92 |
2.45 |
6.99 |
3.63 |
|
|
Kidima |
16 |
1 |
0 |
4 |
43.12 |
3.66 |
5.57 |
3.56 |
27.12 |
2.66 |
5.57 |
-0.44 |
|
|
Kigwema |
30 |
1 |
0 |
1 |
56.96 |
5.82 |
6.88 |
3.92 |
26.96 |
4.82 |
6.88 |
2.92 |
|
|
Kohima |
Kohima village |
20 |
3 |
2 |
1 |
51.92 |
4.32 |
6.07 |
3.66 |
31.92 |
1.32 |
4.07 |
2.66 |
|
Sechu/Zubza |
Menguzuma |
25 |
3 |
3 |
1.5 |
50.11 |
4.55 |
6.21 |
3.33 |
25.11 |
1.55 |
3.21 |
1.83 |
|
Tseminyu |
Tseminyu |
25 |
3 |
0 |
0 |
48.26 |
4.83 |
7.39 |
3.78 |
23.26 |
1.83 |
7.39 |
3.78 |
|
Ngvuphen |
25 |
3 |
3 |
0 |
53.33 |
5.34 |
6.06 |
3.84 |
28.33 |
2.34 |
3.06 |
3.84 |
|
|
Zisunu |
24 |
2 |
2 |
2 |
55.82 |
5.86 |
7.32 |
4.43 |
31.82 |
3.86 |
5.32 |
2.43 |
|
50% of requirement of rice of the beneficiaries is obtained from PDS which is supported by t-test as indicated below in Table 3.2(b):
Table 2: One-Sample t-test Statistics for rice gap
|
Rice Gap |
N |
Mean |
Std. Deviation |
Std. Error Mean |
||
|
19 |
52.58 |
8.37423 |
1.92118 |
|||
|
Test Value = 50 |
||||||
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval |
||
|
Lower |
Upper |
|||||
|
1.345 |
18 |
0.195 |
2.5848379 |
-1.4514 |
6.62108 |
|
Calculated t-value =1.345 < tabulated t-value = 2.10 50% of requirement of sugar of the beneficiaries is also obtained from PDS which is supported by t-test as indicated below in Table 3.2(c):
Table 3: One-Sample t-test Statistics for sugar gap
|
Sugar Gap |
N |
Mean |
Std. Deviation |
Std. Error Mean |
|||
|
19 |
48.35 |
22.0613683 |
5.0612250 |
||||
|
Test Value = 50 |
|||||||
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval |
|||
|
Lower |
Upper |
||||||
|
-0.326 |
18 |
0.748 |
-1.64995 |
-12.283 |
8.983288 |
||
Calculated t-value = -0.326 < tabulated t-value = 2.10 70% of requirement of dal of the beneficiaries is also obtained from PDS which is supported by t-test as indicated below in Table 3.2(d):
Table 4: One-Sample t-test Statistics for dal gap
|
Dal Gap |
N |
Mean |
Std. Deviation |
Std. Error Mean |
|||
|
19 |
71.47848 |
21.5107379 |
4.9349017 |
||||
|
Test Value = 70 |
|||||||
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval |
|||
|
Lower |
Upper |
||||||
|
0.300 |
18 |
0.768 |
1.478477 |
-8.8894 |
11.8463 |
||
Calculated t-value = 0.300 < tabulated t-value = 2.10 50% of requirement of kerosene of the beneficiaries is also obtained from PDS which is supported by t-test as indicated below in Table 3.2(e):
Table 5: One-Sample t-test Statistics for kerosene gap
|
Kerosene Gap |
N |
Mean |
Std. Deviation |
Std. Error Mean |
|||||
|
19 |
64.27 |
38.81606 |
8.90502 |
||||||
|
Test Value = 50 |
|||||||||
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval |
|||||
|
Lower |
Upper |
||||||||
|
1.603 |
18 |
0.126 |
14.27058 |
-4.4382 |
32.9793 |
||||
Calculated t-value = 1.603 < tabulated t-value = 2.10
Subsidy Transfer of PDS to the Beneficiaries
In this investigation, we examine how much subsidy transfer is received by a beneficiary/household due to subsidized supply of the ration items by PDS. The subsidy transfer or income gain due to PDS is the estimated additional expenditure that the household would have incurred in the absence of PDS. It is calculated as the sum of products of quantities of items purchased from PDS and the differences between their market prices and PDS prices. In the case of Nagaland, there are only four items - rice, sugar, dal and kerosene which are distributed to the beneficiaries.
Monthly subsidy transfer or income gain due to PDS per beneficiary/household

