DIFFERENTIAL IMPACTS OF WELFARE PROGRAMS

268 N. S. S. Narayana and B. P. Vani elasticities Table 3 satisfy all the relations discussed earlier. These elasticities were all computed using the sample average values of the corresponding variables. Most of the m kj are positive. However it may be noted that a negative income elasticity does not imply that corresponding commodities k are inferior. No commodity here is inferior because all expenditure elasticities are significantly positive. In fact LES does not allow for inferior goods. From the m kj , the quantitative importance of the supplementary incomes and borrowings in maintaining the livelihood can be noted. For example, the sum of m kj corresponding to incomes GC, LP and OR for different commodities as a percentage of the corresponding expenditure elasticities see Equation 14 are as follows: NCW 1970–71 CNL 1974–75 Commodity GC 1 LP 1 OR DS GC 1 LP 1 OR DS Cereals 9.01 5.63 33.70 12.99 Other food 27.64 7.94 14.80 13.39 Clothing and footwear 69.81 14.55 18.70 42.39 Fuel and light 45.07 7.68 5.38 11.76 Services and miscellaneous 8.16 8.82 0.38 29.54 That is, if all incomes and expenditure were doubled simultane- ously keeping prices constant, 70 of the total rise in clothing and footwear consumption for the NCW would be due to the change in supplementary incomes GC, LP, and OR. Similarly, 34 of the total rise in cereals consumption in the case of CNL would be due to the change in these supplementary incomes; and so on. Similar computation with regard to loans and asset sales DS reveal that the corresponding figures for different commodities range between 5 for cereals to 15 for clothing and footwear in the case of NCW; and between 11 for fuel and light to 43 for clothing and footwear in the case of CNL. The percentages under DS can be attributed almost to the loans since the other component, asset sales, under DS is too small about 8.

5. DIFFERENTIAL IMPACTS OF WELFARE PROGRAMS

Opportunities for all incomes to go up simultaneously are rare. Various rural development programs initiated for poverty eradica- tion differ in the way the additional incomes are created for the EARNINGS AND CONSUMPTION BY INDIAN LABORERS 269 Table 5: Partial and Complete Income Elasticities Partial Income Elasticities h kj Complete Income Elasticities m kj CommoditiesIncomes WG GC LP OR DS WG GC LP OR DS NCW 1970–71 Cereals 0.1011 20.0196 20.0762 0.0058 20.0111 0.4739 0.0265 20.0367 0.0584 0.0325 Other food 20.0370 20.0147 0.1287 20.0771 0.0001 0.8450 0.0945 0.2221 0.0473 0.1031 Clothing and footwear 20.5464 0.2304 20.1022 0.3504 0.0679 0.2690 0.3314 20.0159 0.4654 0.1632 Fuel and light 20.2600 0.3393 20.1560 0.0773 20.0006 0.5869 0.4442 20.0663 0.1967 0.0983 Services and miscellaneous 0.2549 20.3295 0.0200 0.0366 0.0180 1.3333 20.1961 0.1342 0.1887 0.1440 CNL 1974–75 Cereals 20.0675 0.1334 20.0961 0.0537 20.0235 0.2660 0.1598 20.0804 0.0950 0.0639 Other food 0.0686 20.0742 0.0630 20.0010 20.0563 0.9752 20.0024 0.1056 0.1113 0.1813 Clothing and footwear 20.2628 20.3034 0.3220 20.0327 0.2768 0.5367 20.2400 0.3596 0.0663 0.4864 Fuel and light 0.2081 20.0267 20.0173 20.1003 20.0638 0.9848 0.0349 0.0192 20.0041 0.1398 Services and miscellaneous 0.0802 20.3126 0.1699 20.2051 0.2677 1.5211 20.1984 0.2376 20.0266 0.6454 h kj and m kj are as per equations given in Appendix. 270 N. S. S. Narayana and B. P. Vani Table 6: Consumption Effects from Alternative Earning Schemes WG GC LP OR DS E CRL OFD CLF FUL SNM NCW 1970–71 Reference: 941.7 116.6 99.7 132.8 110.1 1400.8 588.3 532.8 71.9 109.9 97.8 Change in all incomes 1008.9 124.9 106.8 142.3 117.9 1500.8 612.1 518.9 78.1 119.4 109.3 only WG 1041.7 116.6 99.7 132.8 110.1 1500.8 618.1 580.0 74.2 116.7 111.8 only GC 941.7 216.6 99.7 132.8 110.1 1500.8 602.7 575.8 91.3 148.2 82.9 only LP 941.7 116.6 199.7 132.8 110.1 1500.8 569.3 645.1 71.2 103.9 111.2 only OR 941.7 116.6 99.7 232.8 110.1 1500.8 614.5 553.6 95.7 125.2 111.9 only DS 941.7 116.6 99.7 132.8 210.1 1500.8 606.4 581.9 82.2 119.4 110.8 CNL 1974–75 Reference: 1896.5 150.4 89.1 234.8 497.1 2867.9 1383.8 911.9 120.0 201.6 250.7 Change in all incomes 1962.8 155.6 92.2 243.0 514.5 2967.9 1408.1 955.9 124.9 209.8 269.2 only WG 1996.5 150.4 89.1 234.8 497.1 2967.9 1403.4 959.2 123.4 211.9 270.2 only GC 1896.5 250.4 89.1 234.8 497.1 2967.9 1527.1 912.0 102.3 206.3 220.3 only LP 1896.5 150.4 189.1 234.8 497.1 2967.9 1263.5 1018.9 165.4 205.9 314.1 only OR 1896.5 150.4 89.1 334.8 497.1 2967.9 1438.9 955.6 123.4 201.6 248.5 only DS 1896.6 150.4 89.1 234.8 597.1 2967.9 1401.8 945.9 131.2 207.3 281.8 Reference: At the sample averages of WG, GC, LP, OR and DS. EARNINGS AND CONSUMPTION BY INDIAN LABORERS 271 poor. Some schemes are direct employment oriented; some pro- vide cattle and buffaloes; some subsidize food consumption, farm- development, land-development etc., and so on. A number of studies earlier analyzed different social welfare programmes. See Taylor 1980 for a survey on the experiences gained by different countries in this context and Sah and Srinivasan 1988 for an assessment of the impact on different social groups of a food redistribution program. Here we take up the issue such as: as far as ultimate impact on food and nonfood consumption pattern is concerned, are all such programmes same? To anayse such an issue, the estimated equations could be used. Suppose an incre- ment of Rs 100- per household is to be provided in annual total expenditure over its current level of these poor households. Sup- pose this additional sum is provided through alternative welfare schemes: either as wages WG, or garden and orchard produce plus cultivation if any GC, or livestock and poultry farming LP, etc. The resulting commodity consumptions under alternative schemes are shown in Table 6. Maximum increase over the refer- ence average level, for example, in cereals consumption was brought by additional wage income WG in the case of NCW and by additional cultivation income in the case of CNL. For both NCW and CNL, additional income from livestock and poultry brings maximum increase in other food consumption and even reduces the cereal consumption. Coming to non food commodities other than fuel and light, additional incomes in other household enterprises OR for the NCW, and in livestock and poultry opera- tions LP for the CNL provide for maximum increase in consump- tion of these commodities. The results suggest that employment oriented and land related welfare programmes have an edge over the other programmes in improving the staple food, cereals, intake by the poor.

6. CONCLUSIONS

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