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 |