Your search found 5 records
1 Satyasai, K. J. S.; Kumar, P.; Mruthyunjaya. 1997. Terms of transactions in groundwater markets: A study in Anantapur District of Andhra Pradesh. Indian Journal of Agricultural Economics, 52(4):751-760.
Groundwater irrigation ; Water market ; Water costs ; Mathematical models / India / Andhra Pradesh / Anantapur District
(Location: IWMI-HQ Call no: PER Record No: H022388)
2 Reddy, Y. V. M. 2000. A participatory approach to watershed development programmes: Understanding constraints and exploring solutions. Waterlines, 19(2):13-15.
Watersheds ; Development projects ; Participatory management ; Rural development ; Corruption ; Political aspects ; Villages ; Monitoring ; Farmers ; Drought / India / Andhra Pradesh / Anantapur District
(Location: IWMI-HQ Call no: PER Record No: H027038)
3 Rao, R. S.; Venkataswamy, M.; Mastan Rao, C.; Rama Krishna, G. V. A. 1993. Identification of overdeveloped zones of ground water and the location of rainwater harvesting structures using an integrated remote sensing based approach: A case study in part of the Anantapur district, Andhra Pradesh, India. International Journal of Remote Sensing, 14(17): 3231-3237.
Groundwater ; Water balance ; Water harvesting ; Remote sensing ; Watersheds ; Irrigation water ; Domestic water / India / Andhra Pradesh / Anantapur District / Kuderu Macro Watershed
(Location: IWMI-HQ Call no: P 6760 Record No: H034210)
4 Subba Rao, N. 2006. Interpretation of groundwater quality using principal component analysis from Anantapur district, Andhra Pradesh, India. Environmental Geosciences, 13(4):239-259.
(Location: IWMI HQ Call no: P 7895 Record No: H040038)
5 Haileslassie, Amare; Craufurd, P.; Thiagarajah, R.; Kumar, S.; Whitbread, A.; Rathor, A.; Blummel, M.; Ericsson, P.; Kakumanu, Krishna Reddy. 2016. Empirical evaluation of sustainability of divergent farms in the dryland farming systems of India. Ecological Indicators, 60:710-723. [doi: https://doi.org/10.1016/j.ecolind.2015.08.014]
Farming systems ; Arid zones ; Environmental sustainability ; Environmental effects ; Living standards ; Households ; Farmers ; Economic aspects ; Social aspects ; Indicators ; Irrigation water ; Agricultural production / India / Andhra Pradesh / Anantapur District / Kurnool District
(Location: IWMI HQ Call no: e-copy only Record No: H047175)
(0.83 MB)
The present study argues that there are heterogeneous farm systems within the drylands and each farmsystem is unique in terms of its livelihood asset and agricultural practice, and therefore in sustainability.Our method is based on household survey data collected from 500 farmers in Anantapur and KurnoolDistricts, in Andhra Pradesh State of India, in 2013. We carried out principal component analysis (PCA)with subsequent hierarchical clustering methods to build farm typologies. To evaluate sustainabilityacross these farm typologies, we adopted a framework consisting of economic, social and environmentalsustainability pillars and associated indicators. We normalized values of target indicators and employednormative approach to assign different weights to these indicators. Composite sustainability indices (CSI)were then estimated by means of weighted sum of indicators, aggregated and integrated into farm typolo-gies. The results suggested that there were five distinct farm typologies representing farming systemsin the study area. The majority of farms (>70%) in the study area are small and extensive (typology 1);marginal and off farm based (typology 2). About 20% of the farms are irrigation based and intensive (typol-ogy 3); small and medium and off farm based (typology 4) and irrigation based semi-intensive (typology5). There was apparent variability among farm typologies in terms of farm structure and functions andcomposite sustainability indices. Farm typologies 3 and 5 showed significantly higher performances forthe social and economic indices, while typologies 2 and 4 had relatively stronger values for environment.These discrepancies support the relevance of integrated farm typology- and CSI approaches in assessingsystem sustainability and targeting technologies. Universally, for all farm typologies, composite sustain-ability indices for economic pillar was significantly lower than the social and environment pillars. Morethan 90% of farmers were in economically less-sustainable class. The correlations between sustainabilityindices for economic and environment were typology specific. It was strong and positive when aggre-gated for the whole study systems [all samples (r = 0.183; P < 0.001)] and for agriculture dependent farmtypologies (e.g. typologies 1 and 3). This suggests the need to elevate farms economic performance andcapacitate them to invest in the environment. These results provide information for policy makers toplan farm typology–context technological interventions and also create baseline information to evaluatesustainability performance in terms of progress made over time.
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