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Spatio-temporal variations in effects of participatory irrigation management (PIM) reform in India: A panel data analysis

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dc.contributor.author Ghosh, Souvik
dc.contributor.author Kolady, Deepthi Elizabeth
dc.contributor.author Das, Usha
dc.contributor.author Gorain, Subrato
dc.date.accessioned 2022-03-16T09:08:08Z
dc.date.available 2022-03-16T09:08:08Z
dc.date.issued 2019-02
dc.identifier.citation ttps://doi.org/10.1016/j.agwat.2019.05.042 en_US
dc.identifier.uri https://vbudspace.lsdiscovery.in/xmlui/handle/123456789/5289
dc.description.abstract 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 develop ment 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. en_US
dc.language.iso en en_US
dc.publisher Elsvier en_US
dc.relation.ispartofseries Vol. 48;No. 61
dc.subject Agricultural scenario India Irrigation management transfer Irrigation scenario en_US
dc.title Spatio-temporal variations in effects of participatory irrigation management (PIM) reform in India: A panel data analysis en_US
dc.title.alternative Agricultural Water Management en_US
dc.type Article en_US


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