Your search found 3 records
1 Mukherjee, Sacchidananda. 2008. Economic valuation of a wetland in West Bengal, India. In Kumar, M. Dinesh (Ed.). Managing water in the face of growing scarcity, inequity and declining returns: exploring fresh approaches. Proceedings of the 7th Annual Partners Meet, IWMI TATA Water Policy Research Program, ICRISAT, Patancheru, Hyderabad, India, 2-4 April 2008. Vol.1. Hyderabad, India: International Water Management Institute (IWMI), South Asia Sub Regional Office. pp.254-266.
Wetlands ; Floodplains ; Multiple use ; Cultivation ; Fisheries ; Irrigated farming ; Rice ; Jute ; Fodder ; Grazing ; Ducks ; Economic evaluation / India / West Bengal / Gangetic Floodplain / Bardhaman District
(Location: IWMI HQ Call no: IWMI 631.7 G635 KUM Record No: H041880)
https://publications.iwmi.org/pdf/H041880.pdf
https://vlibrary.iwmi.org/pdf/H041880.pdf

2 Das, T. K. 2008. Management of wetlands of non-prominence from the perspective of benefit-degradation relation. In Kumar, M. Dinesh (Ed.). Managing water in the face of growing scarcity, inequity and declining returns: exploring fresh approaches. Proceedings of the 7th Annual Partners Meet, IWMI TATA Water Policy Research Program, ICRISAT, Patancheru, Hyderabad, India, 2-4 April 2008. Vol.1. Hyderabad, India: International Water Management Institute (IWMI), South Asia Sub Regional Office. pp.267-281.
Wetlands ; Environmental degradation ; Assessment ; Ecosystems ; Fisheries ; Households / India / West Bengal / Bardhaman District / Lower Gangetic floodplains
(Location: IWMI HQ Call no: IWMI 631.7 G635 KUM Record No: H042903)
https://publications.iwmi.org/pdf/H042903.pdf
https://vlibrary.iwmi.org/pdf/H042903.pdf
(0.06 MB)
Wetlands of non-prominence discussed here are some water bodies in the lower-gangetic floodplains of India. People surrounding these wetlands earn their livelihood and derive many direct and indirect benefits from them. To acquire benefits, often stakeholders subject them to environmental degradation. This study tries to identify the socio-economic activities in and around these wetlands to estimate the value of the benefits derived out of these activities, to measure the degradation of physical component of the wetlands, and to estimate the benefit-degradation relations for these wetlands. For the purpose of this study, ten wetlands in Bardhaman district in West Bengal, India were surveyed. The benefit and degradation were measured, and then the benefit-degradation relations have been estimated using regression models. From the benefit-degradation relations some alternatives for uses of wetlands have been worked out in an eco-friendly manner to find the conflicts that might emerge among the stakeholders.

3 Datta, N. 2015. Evaluating impacts of watershed development program on agricultural productivity, income, and livelihood in Bhalki Watershed of Bardhaman district, West Bengal. World Development, 66:443-456. [doi: https://doi.org/10.1016/j.worlddev.2014.08.024]
Watershed management ; Development programmes ; Impact assessment ; Farmers ; Households ; Living standards ; Socioeconomic environment ; Models ; Indicators ; Intensive farming ; Diversification ; Productivity ; Farm income ; Costs ; Estimation ; Villages / India / West Bengal / Bardhaman District / Bhalki Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H047704)
https://vlibrary.iwmi.org/pdf/H047704.pdf
(0.76 MB)
Watershed development facilitates in reducing the vulnerability of farm income to weather-induced shocks in rain-fed lands in India. The present paper estimates homogeneous as well as non-homogeneous effects of watershed development on farmers demonstrating a huge discrepancy in estimated values between two. It shows that initial differences in resource endowments, access to formal credit, education level, and caste membership can result in inequalities in the impact of watershed development programs on targeted parameters. The analysis also establishes the sensitivity of the estimates to the general level of multivariate imbalance as well as univariate imbalance in confounding covariates.

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