Webby 25% by end of this century (Birthal et al. 2014-). Fur ther, by 2030 India’s food production is expected to drop by 16% and the number of those at risk for hunger could increase 23% due to climate change (IFPRI 2024). Given that agriculture represents the primary livelihood strategy for the vast majority of rural poor of the country, building WebNov 6, 2024 · Recently, Birthal et al. acknowledged that households diversifying toward high-value crops are less likely to be poor. ... Dev Ctry Stud. 2014;4(14):123–36. Google Scholar Herforth AW. Promotion of traditional african vegetables in kenya and tanzania : a case study of an intervention representing. Cornell University; 2010. file:///Users ...
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WebKapur et al., 2009; Hariss et al., 2010; Srivastava et al., 2010; Birthal et al., 2014; Saleh et al., 2014 Kumar and Sharma, 2014; Kumar et al., 2014). Developing countries are highly vulnerable to climate change effects as they have low technology and financial lacuna of farmers to mitigate the adverse effects of WebJoshi et al. (2006) and Birthal et al. (2014) decomposed agricultural growth into area effect, yield effect, price effect and diversification effect, and found diversification to be an … optimise costs meaning
Agroforestry improves food security and reduces income
WebChildren with disabilities and special needs make up the vast majority of those currently being adopted internationally into the United States (U.S.). China has been a leading sending country for international adoption since the 1990s and remains one of the few nations with thousands of orphaned or abandoned children, many with congenital … WebAge of household head (human capital) is an indicator of work experience (Block & Webb, 2001; Minot, 2006), gender of household head (human capital) may affect several household livelihood dimensions such as access to remunerative non-farm activities (Birthal et al., 2014; Canagarajah et al., 2001; Loison, 2024). Household size (human capital ... Weband financial resources (Birthal et al. 2014; Dasgupta et al. 2014). Understanding the impacts that extreme events have on rural households, as well as the factors that affect their capacity to adapt, is crucial for the design of policies and interventions that can improve such capacity (Baez et al. 2012). Existing literature has found that rural optimise health plan simply health