Assessing determinants of scaling up pathways for adopted CSA Climate Smart Agricultural practices: Evidence from Climate Smart Villages in Nyando Basin, Kenya

References

• Aggarwal, P. K., Jarvis, A., Campbell, B. M., Zougmoré, R. B., Khatri-Chhetri, A., Vermeulen, S. J., Loboguerrero, A. M., Sebastian, L. S., Kinyangi, J., Bonilla-Findji, O., Radeny, M., Recha, J., Martinez-Baron, D., Ramirez-Villegas, J., Huyer, S., Thornton, P., Wollenberg, E., Hansen, J., Alvarez-Toro, P., … Yen, B. T. (2018). The Climate-Smart Village approach: Framework of an integrative strategy for scaling up adaptation options in agriculture. Ecology and Society, 23(1), 1. https://doi.org/10.5751/ES-09844-230114
   Web of Science ®Google Scholar
• Ahmed, I., Ullah, A., Rahman, M. H., Ahmad, B., Wajid, S. A., Ahmad, A., & Ahmed, S. (2019). Climate change impacts and adaptation strategies for agronomic crops. In Climate change and agriculture (pp 1–20). IntechOpen.
   Google Scholar
• Amanullah, S., Khalid, Imran, H., A., Khan, M., Arif, A., Rahman, A., Muhammad, A., Shah Faha, A., Shah., & B., Parmar. (2020). Effects of Climate Change on Irrigation water quality. Department of Agronomy, The University of Agriculture Peshawar.
   Google Scholar
• Andati, P., Majiwa, E., Ngigi, M., Mbeche, R., & Ateka, J. (2022). Determinants of adoption of climate smart agricultural technologies among potato farmers in Kenya: Does entrepreneurial orientation play a role? Sustainable Technology and Entrepreneurship, 1(2), 100017. https://doi.org/10.1016/j.stae.2022.100017
   Google Scholar
• Aryal, J. P., Sapkota, T. B., Rahut, D. B., & Jat, M. (2020). Agricultural sustainability under emerging climatic variability: The role of climate-smart agriculture and relevant policies in India. International Journal of Innovation and Sustainable Development, 14(2), 219–245. https://doi.org/10.1504/IJISD.2020.106243
   Web of Science ®Google Scholar
• Asseng, S., Ewert, F., Martre, P., Rötter, R. P., Lobell, D. B., Cammarano, D., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Reynolds, M. P., Alderman, P. D., Prasad, P. V. V., Aggarwal, P. K., Anothai, J., Basso, B., Biernath, C., Challinor, A. J., De Sanctis, G., … Zhu, Y. (2014). Rising temperatures reduce global wheat production. Nature Climate Change, 5(2), 143–147. https://doi.org/10.1038/nclimate2470
   Web of Science ®Google Scholar
• Autio, A., Johansson, T., Motaroki, L., Minoia, P., & Pellikka, P. (2021). Constraints for adopting climate-smart agricultural practices among smallholder farmers in Southeast Kenya. Agricultural Systems, 194, 103284.
   Web of Science ®Google Scholar
• Barnard, J., Manyire, H., Tambi, E., & Bangali, S. (2015). Barriers to scaling up/out climate smart agriculture and strategies to enhance adoption in Africa Forum for Agricultural Research in Africa. FARA.
   Google Scholar
• Barzola Iza, C. L., & Dentoni, D. (2020). How entrepreneurial orientation drives farmers’ innovation differential in Ugandan coffee multi-stakeholder platforms. Journal of Agribusiness in Developing and Emerging Economies, 10(5), 629–650. https://doi.org/10.1108/JADEE-01-2020-0007
   Web of Science ®Google Scholar
• Bayala, J., Ky-Dembele, C., Dayamba, S. D., Somda, J., Ouédraogo, M., Diakite, A., Chabi, A., Alhassane, A., Bationo, A. B., Buah, S. S. J., Sanogo, D., Tougiani, A., Traore, K., Zougmoré, R. B., & Rosenstock, T. S. (2021). Multi-actors’ co-implementation of climate-smart village approach inWest Africa: achievements and lessons learnt. Frontiers in Sustainable Food Systems, 5, 120. https://doi.org/10.3389/fsufs.2021.637007
   Google Scholar
• Belay, A., Recha, J. W., Woldeamanuel, T., & Morton, J. F. (2017). Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia. Agriculture & Food Security, 6(1), 1–13. https://doi.org/10.1186/s40066-017-0100-1
   PubMedGoogle Scholar
• Bell, L. W., Harrison, M. T., & Kirkegaard, J. A. (2015). Dual-purpose cropping-capitalising on potential grain crop grazing to enhancemixedfarming profitability. Crop and Pasture Science, 66(4), I–IV. https://doi.org/10.1071/CPv66n4_FO
   Web of Science ®Google Scholar
• Bernier, Q., Meinzen-Dick, R., Kristjanson, P., Haglund, E., Kovarik, C., Bryan, E., Ringler, C., & Silvestri, S. (2015). Gender and institutional aspects of climate-smart agricultural practices: Evidence from Kenya. CCAFS Working Paper No. 79. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Available online at: www.ccafs.cgiar.org
   Google Scholar
• Biswas, S., Li, R., Yuan, Z., Zhang, D., Zhao, X., & Shi, J. (2019). Development of methods for effective identification of CRISPR/Cas9-induced indels in rice. Plant Cell Reports, 38(4), 503–510. https://doi.org/10.1007/s00299-019-02392-3
   PubMed Web of Science ®Google Scholar
• Bizikova, L., Nkonya, E., Minah, M., Hanisch, M., Turaga, R. M. R., Speranza, C. I., Karthikeyan, M., Tang, L., Ghezzi-Kopel, K., Kelly, J., Celestin, A. C., & Timmers, B. (2020). A scoping review of the contributions of farmers organizations to smallholder agriculture. Nature Food, 1(10), 620–630. https://doi.org/10.1038/s43016-020-00164-x
   PubMedGoogle Scholar
• Bjornlund, H., Zuo, A., Wheeler, S. A., Parry, K., Pittock, J., Mdemu, M., & Moyo, M. (2019). The dynamics of the relationship between household decision-making and farm household income in small-scale irrigation schemes in southern Africa. Agricultural Water Management, 213, 135–145. https://doi.org/10.1016/j.agwat.2018.10.002
   Web of Science ®Google Scholar
• Blary, A., & Jenczewski, E. (2019). Manipulation of crossover frequency and distribution for plant Breeding. TAG. Theoretical and Applied Genetics. Theoretische und angewandte Genetik, 132(3), 575–592. https://doi.org/10.1007/s00122-018-3240-1
   PubMed Web of Science ®Google Scholar
• Bui, L. V., & Vu, T. B. (2020). A systematic review of Climate-Smart Agriculture (CSA) practices and recommendations for adoption in the implementation of Nong Thon Moi in the 2021–2030 Strategy. Climate Change and Sustainable Agricultural Development, Special Issue of November 2020, 154–166. in Vietnamese. English available at: https://cgspace.cgiar.org/handle/10568/111530
   Google Scholar
• Callaway, E. (2018). CRISPR plants now subject to tough GM laws in European Union. Nature, 560(7716), 16–16. https://doi.org/10.1038/d41586-018-05814-6
   PubMedGoogle Scholar
• CCAFS (2016). Climate-smart villages. An AR4D approach to scale up climate- smart agriculture. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
   Google Scholar
• Chitakira, M., & Ngcobo, N. Z. P. (2021). Uptake of climate smart agriculture in peri-urban areas of South Africa’s economic hub requires up-scaling. Frontiers in Sustainable Food Systems, 5, 706738. https://doi.org/10.3389/fsufs.2021.706738
   Google Scholar
• County Government. (2013). First county integrated development Plan 2013–2017. County Government of Kisumu.
   Google Scholar
• Descheemaeker, K., Oosting, S. J., Homann-Kee Tui, S., Masikati, P., Falconnier, G. N., & Giller, K. E. (2016). Climate change adaptation and mitigation in smallholder crop–livestock systems in sub-Saharan Africa: A call for integrated impact assessments. Regional Environmental Change, 16(8), 2331–2343.
   Web of Science ®Google Scholar
• Dey, R. K. (2023). Advances and challenges in developing climate-resilient crops: A review. Advances in Crop Science and Technology, 11, 582.
   Google Scholar
• De Groote, H., Kimenju, S. C., Munyua, B., Palmas, S., Kassie, M., & Bruce, A. (2020). Spread and impact of fall armyworm (Spodoptera frugiperda J.E Smith) in maize production areas of Kenya. Agriculture, Ecosystems & Environment, 292, 106804. https://doi.org/10.1016/jagee.2019.106804.
   PubMed Web of Science ®Google Scholar
• Dhungana, N., Silwal, N., Upadhaya, S., Khadka, C., Regmi, S. K., Joshi, D., & Adhikari, S. (2020). Rural coping and adaptation strategies for climate change by Himalayan communities in Nepal. Journal of Mountain Science, 17(6), 1462–1474. https://doi.org/10.1007/s11629-019-5616-3
   Web of Science ®Google Scholar
• Elum, Z. A., Modise, D. M., & Marr, A. (2017). Farmer’s perception of climate change and responsive strategies in three selected provinces of South Africa. Climate Risk Management, 16, 246–257. https://doi.org/10.1016/j.crm.2016.11.001
   Web of Science ®Google Scholar
• Eshetu, G., Johansson, T., Garedew, W., & Yisahak, T. (2020). Determinants of smallholder farmers’ adaptation options to climate change in a coffee-based farming system of Southwest Ethiopia. Climate and Development, 13(4), 318–325. https://doi.org/10.1080/17565529.2020.1772706
   Web of Science ®Google Scholar
• Fahad, S., Muhammad, Z. I., Abdul, K., Ihsanullah, D., Saud, S., Saleh, A., Wajid, N., Muhammad, A., Imtiaz, A. K., Chao, W., Depeng, W., & Jianliang, H. (2018). Consequences of high temperature under changing climate optima for rice pollen characteristics-concepts and perspectives. Archives of Agronomy and Soil Science. 64(11), 1473–1488. https://doi.org/10.1080/03650340.2018.1443213
   Web of Science ®Google Scholar
• Fahad, S., Rehman, A., Shahzad, B., Tanveer, M., Saud, S., Kamran, M., Ihtisham, M., Khan, S. U., Turan, V., & Rahman, M. H. U. (2019a). Rice responses and tolerance to metal/metalloid toxicity. In M. Hasanuzzaman, M. Fujita, K. Nahar, & J. K. Biswas (Eds.), Advances in rice research for abiotic stress tolerance (pp. 299–312). Woodhead Publ Ltd.
   Google Scholar
• Food and Agriculture Organization (FAO). (2013). Climate-smart agriculture sourcebook. Food and Agriculture Organization of the United Nations. www.fao.org/docrep/018/i3325e/i3325e.pdf
   Google Scholar
• Food and Agriculture Organization (FAO). (2016). The state of food and agriculture: Climate change, agriculture, and food security. Food and Agriculture Organization of the United States.
   Google Scholar
• Gido, E. O., Sibiko, K. W., Ayuya, O. I., & Mwangi, J. K. (2015). Demand for agricultural extension services among small-scale maize farmers: micro-level evidence from Kenya. The Journal of Agricultural Education and Extension, 21(2), 177–192. [Google Scholar] https://doi.org/10.1080/1389224X.2013.872045
   Web of Science ®Google Scholar
• Godino, M. M. (2021). Assessing psycho-social, socioeconomic and institutional characteristics that influence adoption of climate smart agriculture in Taita Taveta County, Kenya [Doctoral dissertation]. Strathmore University.
   Google Scholar
• Gul, F., Ahmed, I., Ashfaq, M., Jan, D., Fahad, S., Li, X., … & Shah, S. A. (2020). Use of crop growth model to simulate the impact of climate change on yield of various wheat cultivars under different agro-environmental conditions in Khyber Pakhtunkhwa, Pakistan. Arabian Journal of Geosciences, 13, 1–14.
   Google Scholar
• Gunjal, K. (2016). Agricultural risk management tools resource for the e-learning curriculum course on “agricultural risk assessment and management for food security in developing countries”. 25(3/4), 236. https://doi.org/10.1504/IJRAM.2022.130527
   Google Scholar
• Harrison, M. T., Cullen, B. R., Mayberry, D. E., Cowie, A. L., Bilotto, F., Badgery, W. B., Liu, K., Davison, T., Christie, K. M., Muleke, A., & Eckard, R. J. (2021). Carbonmyopia: The urgent need for integrated social, economic and environmental action in the livestock sector. Global Change Biology, 27(22), 5726–5761. https://doi.org/10.1111/gcb.15816
   PubMed Web of Science ®Google Scholar
• Heeb, L., Jenner, E., & Cock, M. J. W. (2019). Climate-smart pest management: Building resilience of farms and landscapes to changing pest threats. Journal of Pest Science, 92(3), 951–969. https://doi.org/10.1007/s10340-019-01083-y
   Web of Science ®Google Scholar
• Hobbs, P. R. (2007). Conservation agriculture: What is it and why is it important for future sustainable food production? The Journal of Agricultural Science, 145(02), 127–137. https://doi.org/10.1017/S0021859607006892
   Google Scholar
• Hunt, J. R., Lilley, J. M., Trevaskis, B., Flohr, B. M., Peake, A., Fletcher, A., Zwart, A. B., Gobbett, D., & Kirkegaard, J. A. (2019). Early sowing systems can boost Australian wheat yields despite recent climate change. Nature Climate Change, 9(3), 244–247. https://doi.org/10.1038/s41558-019-0417-9
   Web of Science ®Google Scholar
• IPCC. (2018). Global Warming of 1.5 °C. An IPCC Special Report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change. IPCC.
   Google Scholar
• Iskandar, D. D., & Gatzweiler, F. W. (2016). An optimization model for technology adoption of marginalized smallholders. In F. W. Gatzweiler & J. V. Braunvon (Eds.), Technological and institutional innovations for marginalized smallholders in agricultural development. Springer.
   Google Scholar
• Kangogo, D., Dentoni, D., & Bijman, J. (2021). Adoption of climate-smart agriculture among smallholder farmers: Does farmer entrepreneurship matter? Land Use Policy, 109, 105666. https://doi.org/10.1016/j.landusepol.2021.10566
   Web of Science ®Google Scholar
• Kassie, M., Jaleta, M., Shiferaw, B., Mmbando, F., & Mekuria, M. (2013). Adoption of interrelated sustainable agricultural practices in smallholder system: Evidence from rural Tanzania. Technological Forecasting and Social Change, 80(3), 525–540. https://doi.org/10.1016/j.techfore.2012.08.007
   Web of Science ®Google Scholar
• Kinyangi, J., Recha, J., Kimeli, P., & Atakos, V. (2015). “Climate - smart villages and the hope of food security in Kenya”. Preliminary results from climate change adaptation and mitigation initiatives in Nyando climate-smart villages. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
   Google Scholar
• Kirina, T., Groot, A., Shilomboleni, H., Ludwig, F., & Demissie, T. (2022). Scaling climate smart agriculture in East Africa: Experiences and lessons. Agronomy, 12(4), 820. https://doi.org/10.3390/agronomy12040820
   Google Scholar
• Kirui, V., Kisang, A., & Kiptum, E. (2018). Investigating farmer’s participation in value–added activities in rural Kenya: Case of Kapkamak-Kabonon irrigation project in arror ward, Elgeyo Marakwet County. Journal of Small Business and Entrepreneurship Development, 6(1), 59–66. https://doi.org/10.15640/jsbed.v5n2a6
   Google Scholar
• Kurgat, B. K., Lamanna, C., Kimaro, A., Namoi, N., Manda, L., & Rosenstock, T. S. (2020). Adoption of Climate-Smart Agriculture Technologies in.
   Google Scholar
• Linn, J. F. (Ed.), (2012). Scaling up in agriculture, rural development, and nutrition | IFPRI. http://www.ifpri.org/publication/scaling-agriculture-rural-development-and-nutrition
   Google Scholar
• Liu, K., Harrison, M. T., Yan, H., Liu, D. L., Meinke, H., Hoogenboom, G., Wang, B., Peng, B., Guan, K., Jaegermeyr, J., Wang, E., Zhang, F., Yin, X., Archontoulis, S., Nie, L., Badea, A., Man, J., Wallach, D., Zhao, J., … Zhou, M. (2023). Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates. Nature Communications, 14(1), 765. https://doi.org/10.1038/s41467-023-36129-4
   PubMed Web of Science ®Google Scholar
• Maguza-Tembo, F., Abdi-Khalil, E., & Mangisoni, J. (2017). Determinants of climate smart agriculture technology adoption in the drought prone districts of Malawi using a multivariate probit analysis Lilongwe University of Agriculture and Natural Resources, Malawi. Asian Journal of Agricultural Extension, Economics & Sociology, 16(3), 1–12. https://doi.org/10.9734/AJAEES/2017/32489
   Google Scholar
• Makate, C. (2019). Effective scaling of climate smart agriculture innovations in African smallholder agriculture: A review of approaches, policy and institutional strategy needs. Environ. Sci. Policy,.96, 37–51.
   Web of Science ®Google Scholar
• Makate, C., Wang, R., Makate, M., & Mango, N. (2016). Crop diversification and livelihoods of smallholder farmers in Zimbabwe: adaptive management for environmental change. SpringerPlus, 5(1), 1135. https://doi.org/10.1186/s40064-016-2802-4
   PubMedGoogle Scholar
• Mathenge, M. K., Smale, M., & Olwande, J. (2014). The impacts of hybrid maize seed on the welfare of farming households in Kenya. Food Policy, 44, 262–271. https://doi.org/10.1007/978-3-319-92798-5_14
   Web of Science ®Google Scholar
• Mathews, J. A., Kruger, L., & Wentink, G. J. (2018). Climate-smart agriculture for sustainable agricultural sectors: The case of Mooifontein. Jàmbá: Journal of Disaster Risk Studies, 10(1), 1–10. https://doi.org/10.4102/jamba.v10i1.492
   Google Scholar
• Martinez-Baron, D., Orjuela, G., Renzoni, G., Loboguerrero Rodríguez, A. M., & Prager, S. D. (2018). Small-scale farmers in a 1.5 °C future: The importance of local social dynamics as an enabling factor for implementation and scaling of climate-smart agriculture. Current Opinion in Environmental Sustainability, 31, 112–119. https://doi.org/10.1016/j.cosust.2018.02.013
   Web of Science ®Google Scholar
• Milder, J. C., Majanen, T., & Scherr, S. J. (2011). Performance and potential of conservation agriculture for climate change adaptation and mitigation in sub‐Saharan Africa. Ecoagriculture Discussion Paper No. 6. EcoAgriculture Partners, Washington, DC.
   Google Scholar
• MoALF. (2016). Climate risk profile for Taita Taveta: Kenya County climate risk profile series (Nairobi).
   Google Scholar
• Mulwa, C., Marenya, P., Rahut, D. B., & Kassie, M. (2017). Response to climate risks among smallholder farmers in Malawi: A multivariate probit assessment of the role of information, household demographics, and farm characteristics. Climate Risk Management, 16, 208–221. https://doi.org/10.1016/j.crm.2017.01.002
   Web of Science ®Google Scholar
• Mujeyi, A., Mudhara, M., & Mutenje, M. J. (2019). Adoption determinants of multiple climate smart agricultural technologies in Zimbabwe: Considerations for scaling-up and out. African Journal of Science, Technology, Innovation and Development, 12(6), 735–746.
   Web of Science ®Google Scholar
• Murono, D. A., Wabuyele, E. M. I. L. Y., Muoria, P. K., & Abuto, J. O. (2018). Distribution of Parthenium hysterophorus Linn and its Impacts on Biodiversity in Nyando Sub-County, Kisumu County, Kenya. Eur Acad Res, 6, 1599–1621.
   Google Scholar
• Mwongera, C., Shikuku, K. M., Twyman, J., Läderach, P., Ampaire, E., Van Asten, P., Twomlow, S., & Winowiecki, L. A. (2017). Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies. Agricultural Systems. 151, 192–203. https://doi.org/10.1016/j.agsy.2016.05.009
   Web of Science ®Google Scholar
• Neufeldt, H., Negra, C., Hancock, J., Foster, K., Nayak, D., & Singh, P. (2015). Scaling up climate-smart agriculture: Lessons learned from South Asia and pathways for success. ICRAF Working Paper No. 209. World Agroforestry Centre. https://doi.org/10.5716/WP15720.PDF
   Google Scholar
• Ngigi, M. W., Mueller, U., & Birner, R. (2017). Gender differences in climate change adaptation strategies and participation in group-based approaches: An intrahousehold analysis from rural Kenya. Ecological Economics, 138, 99–108. https://doi.org/10.1016/j.ecolecon.2017.03.019
   Web of Science ®Google Scholar
• Nichols, C. (2021). Self-help groups as platforms for development: The role of social capital University of Iowa. World Development, 146, 105575.
   PubMed Web of Science ®Google Scholar
• Njuguna, J. W. (2020). Factors affecting the adoption of climate smart agricultural practices among smallholder farmers in Bungoma County, Kenya [MSc thesis]. Moi University.
   Google Scholar
• Nyakundi, H., Mogere, S., Mwanzo, I., & Yitambe, A. (2010). Community perceptions and response to flood risks in Nyando District, Western Kenya. Journal of Disaster Risk Studies, 3(1).
   Google Scholar
• Nyasimi, M., Kimeli, P., Sayula, G., Radeny, M., Kinyangi, J., & Mungai, C. (2017). Adoption and dissemination pathways for climate-smart agriculture technologies and practices for climate-resilient livelihoods in Lushoto, Northeast Tanzania. Climate, 5(3), 63. https://doi.org/10.3390/cli5030063
   Web of Science ®Google Scholar
• Ogada, M. J., Raob, E. J. O., Radenyc, M., Rechac, J. W., & Solomon, D. (2020). Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya. World Development Perspectives, 18, 100203.
   Google Scholar
• Ogallo, L., Omay, P., Kabaka, G., & Lutta, I. (2019). Report on historical climate baseline statistics for Taita Taveta, Kenya. (Vol. 1). IGAD Climate Prediction and Application Centre.
   Google Scholar
• Ojo, T. O., & Baiyegunhi, L. J. (2020). Impact of climate change adaptation strategies on rice productivity in South-west, Nigeria: An endogeneity corrected stochastic frontier model. The Science of the Total Environment, 745, 141151. https://doi.org/10.1016/j.scitotenv.2020.141151
   PubMed Web of Science ®Google Scholar
• Omore, A., Kidoido, M., Twine, E., Kurwijila, L., O’Flynn, M., & Githinji, J. (2019). Using “theory of change” to improve agricultural research: recent experience from Tanzania. Development in Practice, 29(7), 898–911. https://doi.org/10.1080/09614524.2019.1641182
   Web of Science ®Google Scholar
• Oostendorp, R., Asseldonk, M. v., Gathiaka, J., Mulwa, R., Radeny, M., Recha, J. W., Wattel, C., & Wesenbeeck, L. V. (2021). Adoption of CSA practices in Nyando Basin, Western Kenya. CCAFS Technical Report. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
   Google Scholar
• Rahman, M. H. u., Ahmad, A., Wang, X., Wajid, A., Nasim, W., Hussain, M., Ahmad, B., Ahmad, I., Ali, Z., Ishaque, W., Awais, M., Shelia, V., Ahmad, S., Fahd, S., Alam, M., Ullah, H., & Hoogenboom, G. (2018). Multi-model projections of future climate and climate change impacts uncertainty assessment for cotton production in Pakistan. Agricultural and Forest Meteorology. 253–254, 94–113. https://doi.org/10.1016/j.agrformet.2018.02.008
   Web of Science ®Google Scholar
• Reij, C., Tappan, G., & Smale, M. (2009). Re-greening the sahel: Farmer-led innovation in Burkina Faso and Niger. In D. Spielman & R. Pandya-Lorch (Eds.), Millions fed: Proven successes in agricultural development. IFPRI.
   Google Scholar
• Reyes, C. M., Mina, C. D., Gloria, R. A. B., & Mercado, S. J. P. (2015). Review of design and implementation of the agricultural insurance programs of the Philippine Crop Insurance Corporation (PCIC). Discussion Paper Series No. 2015-07. Philippine Institute for Development Studies. https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidsdps1507_rev2.pdf
   Google Scholar
• Ruben, R., Verhagen, J., & Plaisier, C. (2018). The challenge of food systems research: What Difference does it make? Sustainability, 11(1), 171. https://doi.org/10.3390/su11010171S
   Web of Science ®Google Scholar
• Ruto, V. K. (2020). Shocks and coping mechanisms in climate-smart villages of the Nyando Basin, Kenya: Findings from a climate-smart agriculture (CSA) survey in Nyando Basin, Kenya. CCAFS Info Note. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
   Google Scholar
• Saj, S., Torquebiau, E., Hainzelin, E., Pages, J., & Maraux, F. (2017). The way forward: An agro-ecological perspective for Climate-Smart Agriculture. Agriculture Ecosystems and Environment, 250, 20–24. https://doi.org/10.1016/j.agee.2017.09.003
   Web of Science ®Google Scholar
• Sándor, R., Ehrhardt, F., Grace, P., Recous, S., Smith, P., Snow, V., Soussana, J.-F., Basso, B., Bhatia, A., Brilli, L., Doltra, J., Dorich, C. D., Doro, L., Fitton, N., Grant, B., Harrison, M. T., Kirschbaum, M. U. F., Klumpp, K., Laville, P., … Bellocchi, G. (2020). Ensemble modelling of carbon fluxes in grasslands and croplands. Field Crops Research, 252, 107791. https://doi.org/10.1016/j.fcr.2020.107791
   Web of Science ®Google Scholar
• Scherr, S. J., Shames, S., Friedman, R., Beddington, J., Asaduzzaman, M., Fernandez, A., Clark, M., Guillou, M., Jahn, M., & Erda, L. (2012). From climate-smart agriculture to climate-smart landscapes. Agriculture & Food Security, 1, 12.
   Google Scholar
• Schut, M., Leeuwis, C., & Thiele, G. (2020). Science of Scaling: Understanding and guiding the scaling of innovation for societal outcomes. Agricultural Systems, 184, 102908.
   Web of Science ®Google Scholar
• Shirsath, P. B., Aggarwal, P. K., Thornton, P. K., & Dunnett, A. (2017). Prioritizing climate-smart agricultural land use options at a regional scale. Agricultural Systems, 151, 174–183.
   Web of Science ®Google Scholar
• Sijmons, K., Kiplimo, J., Forck, W., Thornton, P. K., Radeny, M., & Kinyangi, J. (2013). CCAFS site Atlas-Nyando/Katuku Odeyo. CCAFS sitematlas series. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Copenhagen, Denmark. www.ccafs.cgiar.org.
   Google Scholar
• Sloat, L. L., Davis, S. J., Gerber, J. S., Moore, F. C., Ray, D. K., West, P. C., & Mueller, N. D. (2020). Climate adaptation by crop migration. Nature Communications, 11(1), 1243. https://doi.org/10.1038/s41467-020-15076-4
   PubMed Web of Science ®Google Scholar
• Taylor, M. (2018). Climate-smart agriculture: What is it good for? The Journal of Peasant Studies, 45(1), 89–107. https://doi.org/10.1080/03066150.2017.1312355
   Web of Science ®Google Scholar
• Thakuri, S., Dahal, S., Shrestha, D., Guyennon, N., Romano, E., Colombo, N., & Salerno, F. (2019). Elevation-dependent warming of maximum air temperature in Nepal during 1976–2015. Atmospheric Research, 228, 261–269. https://doi.org/10.1016/j.atmosres.2019.06.006
   Web of Science ®Google Scholar
• Totin, E., Segnon, A. C., Schut, M., Affognon, H., Zougmoré, R. B., Rosenstock, T., & Thornton, P. K. (2018). Institutional perspectives of climate-smart agriculture: A systematic literature review. Sustainability, 10(6), 1990. https://doi.org/10.3390/su10061990
   Web of Science ®Google Scholar
• Ullah A, Ahmad I, Ahmad A, Khaliq T, Saeed U, M Habib-Ur-Rahman, Hussain J, Ullah S, Hoogenboom G (2019a) Assessing climate change impacts on pearl millet under arid and semi-arid environments using CSM-CERES-Milletmodel. Environmental Science and Pollution Research International, 726:6745–6757. https://doi.org/10.1007/s11356-018-3925-7
   PubMed Web of Science ®Google Scholar
• Vernooy, R., & Bouroncle, C. (2019). Climate-smart agriculture: In need of a theory of scaling. CCAFS Working Paper no. 256. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). www.ccafs.cgiar.org
   Google Scholar
• Wekesa, B. M., Ayuya, O. I., & Lagat, J. K. (2018). Effect of climate-smart agricultural practices on household food security in smallholder production systems: Micro-level evidence from Kenya. Agriculture & Food Security, 7, 1–14. https://doi.org/10.1186/s40066-018-0230-0.
   Google Scholar
• Wester, P., Mishra, A., Mukherji, A., & Shrestha, A. B. (2019). The Hindu Kush Himalaya assessment: Mountains, climate change, sustainability and people (p. 627). Springer Cham. https://doi.org/10.1007/978-3-319-92288-1
   Google Scholar
• Westermann, O., Thornton, P. K., & Förch, W. (2015). Reaching more farmers. Innovative approaches to scaling up climate-smart agriculture. CCAFS Working paper 135. CGIAR Research Program on Climate Change, Agriculture and Food Security. https://cgspace.cgiar.org/rest/bitstreams/60041/retrieve
   Google Scholar
• World Bank. (2003). Scaling-up the impact of good practices in rural development: A working paper to support implementation of the World Bank’s rural development strategy. World Bank Group.
   Google Scholar
• Xu, J., Badola, R., Chettri, N., Chaudhary, R. P., Zomer, R., & Pokhrel, B. (2019). Sustaining biodiversity and ecosystem services in the Hindu Kush Himalaya. In P. Wester, A. Mishra, A. Mukherji, & A. B. Shrestha (Eds.), The Hindu Kush Himalaya assessment, mountains, climate change, sustainability and people (pp. 127–165). Springer Nature.
   Google Scholar
• Yamane, T. (1967). An introductory analysis (2nd ed.). Harper and Row.
   Google Scholar