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2018 | OriginalPaper | Chapter

10. Inter-sectoral Linkages and Multipliers of MGNREGA in a Rainfed Village in Karnataka: Applications of Social Accounting Matrix (SAM)

Authors : Gourav Kumar Vani, P. S. Srikantha Murthy, Madhusudan Bhattarai

Published in: Employment Guarantee Programme and Dynamics of Rural Transformation in India

Publisher: Springer Singapore

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Abstract

This chapter examines inter-sectoral linkages of Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) interventions in a village economy of Karnataka state. This is done using framework of social analysis matrix (SAM) in Markabbinahalli village, a predominantly a rainfed village, of Bijapur District in northern Karnataka. An in-depth survey was done in 2013, SAM of 82 × 82 column and rows (activities) was constructed to analyze direct, indirect and inter-sectoral linkages of village level activities for year of 2012–13, in relation to MGNREGA interventions. The SAM analysis suggests that additional investment of Rs. 1 million by MGNREGA in the studied village increased 1.1% of total income of the village, provided a full employment to 18 households at the rate of 340 days of work per person per household annually at a wage rate of Rs. 300 per day. Major share of the MGNREGA investment went to indirect impact (84%), also known as multiplier effects of the investment. The net impact of MGNREGA on labour income in the studied village was weak due to expenditure to several activities that were produced outside of villages such as machinery uses in construction, skilled labour uses, etc. We suggest that making the programme more demand driven, taking more labour intensive work activities under MGNREGA would also ensure more circulation of MGNREGA expenditures within the local economy, which would produces more employment and income locally due to increased feedback and inter-sectoral linkage (or multiplier) effects.

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Footnotes
1
All the persons who are actually engaged in economically productive activities constitute work force and those who are either part of work force or are willing to be part of it are said to constitute labour force. Thus labour force connotes a larger meaning than work force.
 
2
This village is also part of Village Dynamics in South Asia (VDSA) Study conducted by ICRISAT, and so large set of households and other basic features of data about the village, even historical changes, are.
 
3
Other agricultural enterprises are referred to as “Others” in original 82 × 82 SAM.
 
4
VDSA: Village Dynamics studies in South Asia, A Project undertaken by ICRISAT, Hyderabad.
 
5
Canteen is a service providing entity including tea shop. Canteen and tea shop differs only in respect of no. of different services provided to customers.
 
6
Other commodity trade includes trade of sunflower, safflower, onion, milk, egg and any other agricultural/animal products or by-products which are not included in other category of agricultural products.
 
7
Rs. 288,438/Rs. 300 per day = 961.46 labour days, Rs. 288,438 will be the increase in labour account due to Rs. 1 million (or Rs. 10 lakh) of additional investment from Table 5 and Rs. 300 was the prevailing wage rate for agriculture in the studied village.
 
8
Here, all calculations are done at prevailing agricultural wage rate of Rs. 300 per day. Rs. 1,855,486/Rs. 300 per day ≈6,184 labour days. This means 6,184 labour days/340 days per household ≅18 households (person) would be given a full year of employment of 340 days of employment per year.
 
9
100 − (961/6,184) * 100 ≈ 84.46.
 
10
(1,500,000/169,099,228) * 100 = 0.89%, as shown in last row–fourth column in Table 5.
 
11
In this study, we have only estimated multiplier value in a year period, these infrastructures remains in village for long period and would have other indirect benefits which have not been captured in this study. This is a limitation of a SAM based analysis in static framework, as well.
 
12
Rs. (420,000/Rs. 9,875,531) * 100 = 4.25%, as shown in first row–fourth column in Table 5.
 
13
Rs. 300 per day * 253 days + 27 days * Rs. 174 per day + 80 days * Rs. 350 per day = Rs. 108,598.
 
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Metadata
Title
Inter-sectoral Linkages and Multipliers of MGNREGA in a Rainfed Village in Karnataka: Applications of Social Accounting Matrix (SAM)
Authors
Gourav Kumar Vani
P. S. Srikantha Murthy
Madhusudan Bhattarai
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6262-9_10