LEADER 03819cam a2200505 i 4500001 99120389913506421 005 20240606083709.0 008 180925s2019 si a b 000 0 eng d 020 9789811081705 |qhardcover 020 9811081700 |qhardcover 035 |9(YDXIT)15071106 035 (NjP)12038991-princetondb 035 |z(NjP)Voyager12038991 035 |z(NjP)Voyager12038991 035 (OCoLC)on1064718959 040 UKMGB |beng |erda |cUKMGB |dOCLCO |dBDX |dERASA |dOCLCF |dOCLCQ |dYDX 043 az----- 050 4 S470.S63 |bC55 2019 082 04 630.954 |223 245 00 Climate smart agriculture in South Asia : |btechnologies, policies and institutions / |cBarun Deb Pal, Avinash Kishore, Pramod Kumar Joshi, Narendra Kumar Tyagi, editors. 264 1 Singapore : |bSpringer, |c[2019] 300 xvi, 226 pages : |billustrations (some color) ; |c25 cm 336 text |btxt |2rdacontent 337 unmediated |bn |2rdamedia 338 volume |bnc |2rdacarrier 504 Includes bibliographical references. 520 8 This book discusses various climate smart agro-technologies, their technical and economic feasibility across heterogeneous agro-climatic conditions, assessing farmers' willingness to adopt those technologies, impact of climate smart technology in agricultural production and possible policy and investment opportunities to upscale it. Containing eight chapters, the book starts with a discussion about the methodological aspects of priority setting of the farm technologies across various regions of South Asia including Eastern Indo-Gangetic plain, Western Indo-Gangetic Plain and arid regions. Using data from field based trials and expert solicitations, the book next deliberates on a list of feasible technologies, assessed by constructing climate smart Feasibility Index. 0Further on, there is an analysis, using stated preference method, of the behaviour of farmers in adopting climate smart technologies. Preference of women farmers has been given a special focus in this book. After discussing the method priority setting of the farm technologies, impact of climate smart technologies has been analysed using real time data. Government policies have been reviewed with the view of achieving climate smart agriculture in South Asia. The book also describes the optimization modelling framework for investment allocation and technology prioritization. The model integrates both the bio-physical and the economic optimization model to capture the agro-climatic heterogeneity within the region and the variability of technical feasibility across regions and crops. Results of this model will help policy makers to identify how much to invest, where to invest and what technologies to prioritize for investments. 650 0 Agriculture |zSouth Asia. 650 0 Agricultural innovations |zSouth Asia. 650 0 Crops and climate |zSouth Asia. 650 7 Agricultural innovations. |2fast |0(OCoLC)fst00800915 650 7 Agriculture. |2fast |0(OCoLC)fst00801355 650 7 Crops and climate. |2fast |0(OCoLC)fst00884075 651 7 South Asia. |2fast |0(OCoLC)fst01244520 700 1 Pal, Barun Deb, |eeditor. |0http://id.loc.gov/authorities/names/no2015131622 700 1 Kishore, Avinash, |eeditor. |0http://id.loc.gov/authorities/names/no2009155342 700 1 Joshi, P. K., |eeditor. |0http://id.loc.gov/authorities/names/no94043495 700 1 Tyagi, N. K., |eeditor. |0http://id.loc.gov/authorities/names/n89283302 902 kl |bs |6a |7m |dv |f1 |e20200825 904 pad |bo |hm |cb |e20200810 910 |cG0601mon 914 (OCoLC)on1064718959 |bOCoLC |cmatch |d20240530 |eprocessed |f1064718959 980 |i159.99 |j131.19 |n40029917883 982 |bFY20 |n2020 |q32101110925417 986 |hS470.S63 |iC55 2019