Impact of small-scale irrigation schemes on farmers livelihood, the case of Mekdela Woreda, North-East Ethiopia

References

• Abdissa, F., Tesema, G., & C, Y. (2017). Impact analysis of small scale irrigation schemes on household food security the case of Sibu Sire District in Western Oromia, Ethiopia. Irrigation & Drainage Systems Engineering, 06(2 ). https://doi.org/10.4172/2168-9768.1000187
   Google Scholar
• Abdulai, A., & Huffman, W. (2014). The adoption and impact of soil and water conservation technology: An endogenous switching regression application. Land Economics, 90(1), 26–20. https://doi.org/10.3368/le.90.1.26
   Web of Science ®Google Scholar
• Adego, Tsega, Simane, Belay, & Woldie, Getachew A. (2019). The impact of adaptation practices on crop productivity in northwest Ethiopia : An endogenous switching estimation.Published in Development Studies Research (pp. 5095). https://doi.org/10.1080/21665095.2019.1678186
   Google Scholar
• Alene, A. D., & Manyong, V. M. (2007). The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: An endogenous switching regression analysis. Empirical Economics, 32(1), 141–159. https://doi.org/10.1007/s00181-006-0076-3
   Web of Science ®Google Scholar
• Awulachew, S. (2005). in Ethiopian agricultural development: Assessment of existing situation. International Water …. http://publications.iwmi.org/pdf/H037499.pdf
   Google Scholar
• Awulachew, Seleshi Bekele, Erkossa, Teklu, & Namara, Regassa. (2010). } Irrigation potential in Ethiopia: constraints and opportunities for enhancing the system. https://doi.org/10.21955/GATESOPENRES.1114943.1 https://www.semanticscholar.org/paper/Irrigation-potential-in-Ethiopia%3A-constraints-and-Awulachew-Erkossa/4c8046c96fc043e2f2983417fb7984c1dab2ab47.
   Google Scholar
• Bekele, D. (2011). Linking irrigation farmers to markets : The case of murtute irrigation farmers, Ethiopia. Erasmus University.
   Google Scholar
• Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72. https://doi.org/10.1111/j.1467-6419.2007.00527.x
   Web of Science ®Google Scholar
• Carter, D. W., & Milon, J. W. (2005). Price knowledge in household demand for utility services. Land Economics, 81(2), 265–283. https://doi.org/10.3368/le.81.2.265
   Web of Science ®Google Scholar
• CSA. (2013). Population projections for Ethiopia from 2007 to 2037. July, 173.
   Google Scholar
• De Haan, L. J. (2012). The livelihood approach: A critical exploration. Erdkunde, 66(4), 345–357. https://doi.org/10.3112/erdkunde.2012.04.05
   Web of Science ®Google Scholar
• Di Falco, S., Veronesi, M., & Yesuf, M. (2011). Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics, 93(3), 829–846. https://doi.org/10.1093/ajae/aar006
   Web of Science ®Google Scholar
• Falco, Salvatore, & Veronesi, Marcella. (2018). Managing environmental risk in presence of climate change: The role of adaptation in the Nile Basin of Ethiopia. In Climate Smart Agriculture (pp. 497–526 https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1007%252F978-3-319-61194-5_21;h=repec:spr:nrmchp:978-3-319-61194-5_21). Springer.
   Google Scholar
• Foltz, J. D. (2004). Credit market access and profitability in Tunisian agriculture. Agricultural Economics, 30(3), 229–240. https://doi.org/10.1111/j.1574-0862.2004.tb00191.x
   Web of Science ®Google Scholar
• Fuglie, K. O., & Bosch, D. J. (1995). Economic and environmental implications of soil nitrogen testing: A switching‐regression analysis. American Journal of Agricultural Economics, 77(4), 891–900. https://doi.org/10.2307/1243812
   Web of Science ®Google Scholar
• Gathala, M. K., Kumar, V., Sharma, P. C., Saharawat, Y. S., Jat, H. S., Singh, M., Kumar, A., Jat, M. L., Humphreys, E., Sharma, D. K., Sharma, S., & Ladha, J. K. (2013). Optimizing intensive cereal-based cropping systems addressing current and future drivers of agricultural change in the northwestern Indo-Gangetic Plains of India. Agriculture, Ecosystems & Environment, 177, 85–97. https://doi.org/10.1016/j.agee.2013.06.002
   Web of Science ®Google Scholar
• Gebrehiwot, K. G., Daniel, M., & Woldu, T. (2017). The impact of micro-irrigation on households’ welfare in the northern part of Ethiopia: An endogenous switching regression approach. Studies in Agricultural Economics, 119(3), 160–167. https://doi.org/10.7896/j.1707
   Web of Science ®Google Scholar
• Gebremedhin, B., & Peden, D. (2003). P Policies and institutions to enhance the impact of irrigation development in mixed crop–livestock systems. Integrated water and land management research and capacity building priorities for Ethiopia, 168.Policies and institutions to enhance the impact of irrigation development in mixed crop-livestock systemsLength: pp. 168-184. International Water Management Institute.
   Google Scholar
• Gorst, A., Dehlavi, A., & Groom, B. (2018). Crop productivity and adaptation to climate change in Pakistan. Environment and Development Economics, 23(6), 679–701. https://doi.org/10.1017/S1355770X18000232
   Web of Science ®Google Scholar
• Heckman, J., Tobias, J. L., & Vytlacil, E. (2001). Four parameters of interest in the evaluation of social programs. Southern Economic Journal, 68(2), 210. https://doi.org/10.2307/1061591
   Web of Science ®Google Scholar
• Hichaambwa, M. (2015). Determinants and welfare effects of smallholder participation in horticultural markets in Zambia. AfJARE, 10(4), 279–296 doi:http://dx.doi.org/10.22004/ag.econ.229810 http://purl.umn.edu/229810.
   Google Scholar
• Khanal, U., Wilson, C., Lee, B. L., & Hoang, V.-N. (2018). Climate change adaptation strategies and food productivity in Nepal: A counterfactual analysis. Climatic Change, 148(4), 575–590. https://doi.org/10.1007/s10584-018-2214-2
   Web of Science ®Google Scholar
• Khandker, R. S., Gayatri, B. K., & Hussain, A. S. (2010). Handbook on Impact. In Learning (Vol. 1 (Washington DC 20433: The World Bank) 262 , Issue 1).
   Google Scholar
• Kissawike, Kalunde. (2008). Irrigation-based Livelihood Challenges and Opportunities A gendered technography of the Lower Moshi irrigation scheme in Tanzania 978-90-8504-913-5 .
   Google Scholar
• Koundouri, P., Nauges, C., & Tzouvelekas, V. (2006). Technology Adoption Under Production Uncertainty: Theory and Application to Irrigation Technology. American Journal of Agricultural Economics, 88(3), 657–670. https://doi.org/10.1111/j.1467-8276.2006.00886.x
   Web of Science ®Google Scholar
• Kuwornu, J. K. M., & Owusu, E. S. (2012). Irrigation access and per capita consumption expenditure in farm households : Evidence from Ghana Journal of Development and Agricultural Economics . 4(3), 78–92. https://doi.org/10.5897/JDAE11.105
   Google Scholar
• Li, J., Ma, W., Renwick, A., & Zheng, H. (2020). The impact of access to irrigation on rural incomes and diversification: Evidence from China. China Agricultural Economic Review, 12(4), 705–725. https://doi.org/10.1108/CAER-09-2019-0172
   Web of Science ®Google Scholar
• Lipton, M., Julie Litchfield, J.-M. F., & Faurès, J.-M. (2003). The effects of irrigation on poverty: A framework for analysis. Water Policy Journal, L, 5(6), 413–427. https://doi.org/10.2166/wp.2003.0026
   Google Scholar
• Lokshin, M., & Sajaia, Z. (2004). Maximum likelihood estimation of endogenous switching regression models. The Stata Journal: Promoting Communications on Statistics and Stata, 4(3), 282–289. https://doi.org/10.1177/1536867X0400400306
   Google Scholar
• Maddala, G. S. (Ed.). (1983). Frontmatter. In Limited-dependent and qualitative variables in econometrics (pp. i–iv). Cambridge University Press.
   Google Scholar
• Maddala, G. S. (1986a). Limited-dependent and qualitative variables in econometrics. Issue 3. Cambridge university press.
   Google Scholar
• Maddala, G. S. (1986b). DISEQUILIBRIUM, SELF-SELECTION, AND SWITCHING MODELS * Estimation of the switching regression model : Sample separation known Estimation of the switching regression model : Switching simultaneous systems disequilibrium models : Different formulations of. Science, III.
   Google Scholar
• Mengistie, D., & Kidane, D. (2016). Assessment of the impact of small-scale irrigation on household livelihood improvement at Gubalafto District, North Wollo, Ethiopia. Agriculture, 6(3), 27. https://doi.org/10.3390/agriculture6030027
   Google Scholar
• MoWE. (2012). Water resources management and irrigation policy: Annual report of MOWE, Addis, Ethiopia.
   Google Scholar
• MoWIE. (2002). Water Sector Development Program - Main report. Report, I(October), 193.
   Google Scholar
• Nonvide, G. M. A. (2019). A re-examination of the impact of irrigation on rice production in Benin: An application of the endogenous switching model. Kasetsart Journal of Social Sciences, 40(3), 657–662. https://doi.org/10.1016/j.kjss.2017.12.020
   Google Scholar
• Norton, G. W. J. A. W. A. M. (2010). Economics of agricultural development world food systems and resource use (2nd ed.). Routledge Textbooks in Environmental and Agricultural Economics.
   Google Scholar
• Pettitt, A. N. (1989). One degree of freedom for nonadditivity: Applications with generalized linear models and link functions. Biometrics, 45(4), 1153–1162. https://doi.org/10.2307/2531767
   Web of Science ®Google Scholar
• Pregibon, D. (1979). Data analytic methods for generalized linear models [ Ph. D. University of Toronto]. https://www.worldcat.org/title/data-analytic-methods-for-generalized-linear-models/oclc/640147904
   Google Scholar
• Seleshi, B., Denekew, A., Loulseged, M., L, W., Ayana, M., & Alamirew, T. (2007). Water resources and irrigation development in Ethiopia.
   Google Scholar
• Sikhulumile, S. M. M., & W, E. (2014). The impact of smallholder irrigation on household welfare: The case of Tugela Ferry irrigation scheme in KwaZulu-Natal, South Africa. Water Research Commission, Water SA(V https://doi.org/10.4314/wsa.v40i1.18.
   Google Scholar
• Smith, L. E. D. (2004). Assessment of the contribution of irrigation to poverty reduction and sustainable livelihoods. International Journal of Water Resources Development, 20(2), 243–257. https://doi.org/10.1080/0790062042000206084
   Web of Science ®Google Scholar
• Tesfaye, M., & Beshir, H. (2018). Impact of small scale irrigation on the livelihood of rural farm households : The case of Oromo Zone, Eastern Amhara, Ethiopia. Journal of Saemaulogy, 3(2).
   Google Scholar
• Trost, R. P. (1981). Interpretation of error covariances with nonrandom data: An empirical illustration of returns to college education. Atlantic Economic Journal, 9(3), 85–90. https://doi.org/10.1007/BF02300600
   Google Scholar
• Yamane, T. (1967). Statistics: An Introductory Analysis (2nd ed.). Harper and Row.
   Google Scholar
• Zeweld, W., Huylenbroeck, G. V., Hidgot, A., Chandrakanth, M. G., & Speelman, S. (2015). Adoption of small-scale irrigation and its livelihood impacts in Northern Ethiopia. Irrigation and Drainage, 64(5), 655–668. https://doi.org/10.1002/ird.1938
   Web of Science ®Google Scholar
• Zhou, Y., Zhang, Y., Abbaspour, K. C., Mosler, H.-J., & Yang, H. (2009). Economic impacts on farm households due to water reallocation in China’s Chaobai watershed. Agricultural Water Management, 96(5), 883–891. https://doi.org/10.1016/j.agwat.2008.11.011
   Web of Science ®Google Scholar