ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Articles by Jatinder S BediSubscribe to Jatinder S Bedi

Weather Uncertainties and the Strategy to Raise Farmers’ Income

In India, rising weather uncertainty has caused large-scale damage to crops in the last two years. In order to lower such risks, the cultivation pattern should move away from highly intensive input usage towards low-risk optimal input usage wherein a reasonably good level of overall crop production and returns per acre could be generated. The analysis based on unit-wise household data of farmers during 2018–19 shows that only 1% of farmers use optimal inputs. By shifting cultivation towards optimal input usage pattern, the revenue could be increased by 70% and the average income of the farmers by 90%.

Consistency in NSSO Employment–Unemployment Estimates Using NSS 68th Round and PLFS Data

The unemployment rate in the country increased sharply to 6.1%, as per the Periodic Labour Force Survey 2017–18 data, from 2.2%, based on the National Sample Survey, 68th round, 2011–12. A few have raised questions regarding methodological differences, mainly concerning the second-stage household sample stratification procedure not adopted in proportion to the respective population share. In the PLFS, this stratification is based on the number of matriculates per household and, in the NSS 68th round, on the level of per capita expenditure. It is found that the results obtained in each of these data sets are robust for the strata on the basis of which the surveys were conducted, respectively, and hence, both are reliable and comparable.

State of Fabric Producing Units in India

The estimates in the government-funded surveys of the handloom and powerloom sectors of the number of units, looms and employment are not reliable since they are especially designed to identify units eligible for sector-specific schemes. The unit-wise Annual Survey of Industries and the National Sample Survey Organisation 62nd round data for 2005-06 cover the entire manufacturing data, but the results derived for variables such as value added, output, fabric production, etc, are also not considered reliable as the small units have a tendency to under-report their production in order to retain the benefits of small-scale sector tax incentives. This paper presents an analysis of the National Council of Applied Economic Research sample survey, which was designed to estimate the weighted per unit ratios for various size classes of units belonging to the handloom, powerloom/mill and knitting sectors.

Discrepancies and Validation of Indian Manufacturing Data

It is important to remove the discrepancies in data in the various segments of the manufacturing sector, namely, factory, non-factory, small, medium and large-scale sectors, to have a proper estimate of the state of manufacturing. These have an important bearing on estimates of the performance of the sector and have long-term implications from the policy and planning perspective. This study makes use of unit-wise Annual Survey of Industries and National Sample Survey Organisation unorganised manufacturing sector data for 2000-01. The decision to upgrade the economic indicator series of the National Accounts Statistics to base year 1999-2000 from 1993-94 seems to have not taken into account the best possible options to upgrade base year weights.

Cross-Validation of Production and Consumption Data of Fruits and Vegetables

There are wide discrepancies in the available data on estimates of production of fruits and vegetables, fresh (unprocessed) and processed, on the one hand, and their consumption, on the other. The comparison of production and consumption data (in terms of quantity and value) shows that the main causes of the discrepancies are the very high farm gate prices used for the valuation of fresh fruits and the overestimation of the quantum of fruits production. With revisions in prices and quantities, this paper re-estimates the total value of fruits production at the farm gate/ex-factory price as well as the share of processing in the production (processed and unprocessed) of fruits and vegetables. The quantity estimates turn out to be 46.6 per cent of the original estimates and the value of fruit production is 19.9 per cent of the original unrevised estimates.

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