Abstract
This study examines the investment behaviour of farmers using the decennial National Sample Survey Debt and Investment Survey (Schedule 18.2) from 1981 to 2012. It begins with an analysis of spatial trends and variations in the composition of fixed capital expenditure followed by factors that determine investment in agriculture and its impact on farm income. The analysis reveals a phenomenal increase in per household investment from Rs. 2133 in 1981–82 to Rs. 6993 in 2012–13 at 2004–05 prices. Of this, residential land and buildings constitute a sizeable share at 68% followed by farm business at 23.3% and non-farm business at 8.7%. Capital expenditure on residential land and buildings has grown at a much higher rate (4.7%) compared to that in farm and non-farm businesses (2.52 and 3.31%), respectively, during this period. Growing urbanization, expansion in industrial activities and low income from cultivation may have made investment in land lucrative relative to farming. A changing investment priority of farmers has implications for agricultural growth as it is done at the expense of farm assets. A slight upturn in investment in farm business has taken place during the 2000s, but its composition continues to be dominated by irrigation structures, transport and machinery and implements. Large interstate and farm size disparities in capital expenditure continue to persist. Further, nearly 86% of farm investment is carried out through loans of which the share of institutional borrowings is 63.4%, which should be scaled up. The empirical analysis based on three-stage least squares lends support to these findings as investment in agriculture is found to be adversely affected by farmers’ changing preference and positively by institutional borrowings and public investment. Private and public investments together with favourable incentive structure and infrastructure development exert positive and significant impact on agricultural income. The study emphasizes on upholding farmers’ interest in agriculture in view of rapid changes in their investment priorities. For this, role of the respective state government stands imperative in scaling up resource allocation and institutional credit to agriculture.
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Notes
- 1.
The analysis is done for rural households due to high share of cultivator households and change in the definition of farm household in NSS 70th round survey different from that considered in the preceding rounds. Estimates on farm households could not be made comparable due to non-availability of unit-level data for 1981–82.
- 2.
The southern states with only 19% of the gross cropped area of the country accessed about 44% of the total disbursement in 2001–02. The central states accounted for 27% of the area and obtained only 14% share of the total disbursals. Further, the share of central region in total credit declined over time making distribution more skewed. The developed regions have greater access to institutional sources than the less developed regions.
- 3.
Chand et al. (2015) found that low and fluctuating farm incomes have adversely impinged upon the interests of farmers, especially youth to leave farming. A low growth in farm income and growing disparity between income of farmers and non-farmers are also associated with agrarian distress.
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Annexure 1 Exogenous and Endogenous Variables Used and Source of Data
Annexure 1 Exogenous and Endogenous Variables Used and Source of Data
Rain | Annual rainfall index (fertilizer statistics of India) |
GDPGNA | Annual rate of growth in non-agriculture GSDP or non-agriculture income per capita (national accounts statistics—NAS) |
World price | World food price index, 2005 = 100, includes cereal, vegetable oils, meat, seafood, sugar, bananas and oranges price indices (international financial statistics) |
TOT | Terms of trade based on 3 years moving average; estimated taking SDP agriculture current/constant price divided by SDP non-agr. current/constant price at 2004–05 (EPW data base and NAS) |
Land productivity | Agricultural income/NSA (GSDPA/NSA) (NAS and agricultural statistics at a glance) |
Agri R&D | Public expenditure on agriculture R&D, soil conservation, crop and animal husbandry (finance accounts, GOI) |
Labour | Agriculture labour—all age group as per UPSS (NSS) per NSA |
IRRI | Irrigation intensity: Percentage of cropped area irrigated by public and private sources (agricultural statistics at a glance) |
ELECT | Electricity consumption in agriculture per hectare (annual reports of State electricity board and agricultural statistics at a glance) |
FERT | Fertilizer consumption per hectare (fertilizer statistics of India) |
ROAD | Road density measured in km per 1000 km2 (statistical abstract of India and rural development statistics) |
Land | Gross cropped area (fertilizer statistics of India) |
Private investment in agriculture | Fixed capital expenditure in farm business (AIDIS 1981, 1991, 2002, 2013) The estimates are interpolated based on past growth rates |
Share RBL/FCE | Private investment (FCE in land and building) as ratio of total FCE, AIDIS size of public spending − total public expenditure/GSDP |
Input subsidy | Fertilizer + power + credit + irrigation estimated as follows |
Fertilizer sub | Fertilizer subsidy estimated using unit rate based on all India estimates and then apportioned across states based on consumption (fertilizer statistics of India) |
Power sub | Power subsidy based on unit cost of supply minus agricultural tariff rate × consumption of power in agriculture (annual report of SEB) |
Credit sub | Credit subsidy (only interest) based on loan outstanding of PACS, RRBs and CBs based on difference in lending rate of agri and non-agri sectors (NAFSCOB) |
Irrigation sub | Irrigation subsidy based on O&M Expenditure—receipts + interest income/receipts; 2nd estimate = irr subsidy + 1% of cumulative capital expenditure (exclude exp. on flood control (finance accounts) |
Public investment in agriculture | Public expenditure on minor, medium, major irrigation and command area development (finance accounts) |
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Bathla, S., Kumari, Y. (2017). Investment Behaviour of Farmers Across Indian States: Determinants and Impact on Agriculture Income. In: Bathla, S., Dubey, A. (eds) Changing Contours of Indian Agriculture. Springer, Singapore. https://doi.org/10.1007/978-981-10-6014-4_4
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