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1 Ghosh, S.; Gorain, S.; Mondal, B. 2017. Spatio-temporal variations and links between irrigation and agricultural development in an eastern Indian state. Irrigation and Drainage, 66(5):784-796. [doi: https://doi.org/10.1002/ird.2151]
Agricultural development ; Irrigation management ; Spatial variation ; Water resources ; Groundwater irrigation ; Irrigation canals ; Irrigated land ; Agricultural production ; Growth rate ; Models / India / West Bengal
(Location: IWMI HQ Call no: e-copy only Record No: H048469)
(0.73 MB)
Spatio-temporal variations and links between irrigation and the agricultural sector were delineated in the districts of an eastern Indian state, West Bengal, during 2001–2002 to 2011–2012. Cumulative annual exponential growth rate (CAEGR) was calculated for each of the parameters considered under agriculture and irrigation. The irrigation and agricultural scenario at district level were assessed through different indexes. The growth rate of most of the districts showed a declining trend in 5 out of 11 selected parameters, viz. share of cultivable land to total land, share of net sown area to cultivable land, food grain production, paddy production and cropping intensity. Overall, growth rates were found for the canal- and groundwater irrigated areas, respectively, with an increase of net irrigated area (CAEGR 0.17). Both the agricultural development index (ADI) and the irrigation coverage index (ICI) were found to be high to very high (=60) in four districts, while two districts had very low to low ADI and ICI values (=40) in all the years. The source-wise irrigation utilization indices altogether explained 91% variation in ADI that was predominantly by canal and groundwater irrigation. Some missing links were also observed in some districts where the level of agricultural development did not match the irrigation scenario.
2 Ghosh, S.; Kolady, D. E.; Das, U.; Gorain, S.; Srivastava, S. K.; Mondal, B. 2019. Spatio-temporal variations in effects of Participatory Irrigation Management (PIM) reform in India: a panel data analysis. Agricultural Water Management, 222:48-61. [doi: https://doi.org/10.1016/j.agwat.2019.05.042]
Irrigation management ; Participatory management ; Reforms ; Groundwater irrigation ; Irrigated land ; Agricultural development ; Crop production ; Agricultural productivity ; Performance indexes ; Indicators ; Water user associations ; Tank irrigation ; Irrigation canals ; Land use / India / Andhra Pradesh / Karnataka / Tamil Nadu / Madhya Pradesh / Odisha / Rajasthan
(Location: IWMI HQ Call no: e-copy only Record No: H049402)
(1.94 MB)
After a decade of implementation of participatory irrigation management (PIM) policy in India, the impact of PIM on agricultural and irrigation scenario is studied in six states (Andhra Pradesh, Karnataka, Tamil Nadu, Madhya Pradesh, Odisha, and Rajasthan) implementing the PIM reform. In case of each state, district level panel data of 10 years each before and after the PIM enactment is analyzed for the variables depicting agricultural and irrigation scenario. The decadal mean values calculated before and after implementation of PIM indicate that increased share of net irrigated area to net sown area (3–12%), increased productivity of major crops (11–20%), increased food grain productivity (8–39%) with decreased share of food grain crops area to gross sown area (1–3%), increased area under high yielding varieties in three states (13–54%), increased cropping intensity in five states (3–12%) and increased fertiliser consumption (21–80%) during post PIM period. Net irrigated area has shown an increase from 6 to 38 percent that is because of relatively more increase in groundwater irrigated area (16–63%) as compared to canal irrigated area after PIM (-16 to 31%). District wise agricultural development index (ADI) and irrigation development index (IDI) are derived showing betterment in both after PIM reform. Feasible Generalized Least Squares (FGLS) regression models are worked out that revealed variations in impact of PIM in the states of India. The PIM has made significant impact on food grain productivity as evident from the significant coefficient value for interaction term between year and PIM dummy in case of Karnataka, Odisha and Rajasthan. In case of other three states, the impact of PIM is not significantly visible.
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