Income and yield effects of climate-smart agriculture (CSA) adoption in flood prone areas of Bangladesh: Farm level evidence
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Abdulai, 2016, Impact of conservation agriculture technology on household welfare in Zambia, Agric. Econ., 47, 729, 10.1111/agec.12269
Abdulai, 2014, The adoption and impact of soil and water conservation technology: An endogenous switching regression application, Land Econ., 90, 26, 10.3368/le.90.1.26
Abegunde, 2020, Determinants of the adoption of climate-smart agricultural practices by small-scale farming households in King Cetshwayo District Municipality, South Africa, Sustainability, 12, 195, 10.3390/su12010195
Adams, 1989, Global climate change and agriculture: an economic perspective, Am. J. Agric. Econ., 71, 1272, 10.2307/1243120
Ahmed, 2015, The role of extreme events in reaching adaptation tipping points: a case study of flood risk management in Dhaka, Bangladesh, J. Water Clim. Change, 6, 729, 10.2166/wcc.2014.102
Aigner, 1977, Formulation and estimation of stochastic frontier production function models, J. Econom., 6, 21, 10.1016/0304-4076(77)90052-5
Ali, 2017, Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan, Clim. Risk Manag., 16, 183, 10.1016/j.crm.2016.12.001
Amadu, 2020, Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi, World Dev., 126, 104692, 10.1016/j.worlddev.2019.104692
Amadu, 2020, Yield effects of climate-smart agriculture aid investment in southern Malawi, Food Policy, 92, 101869, 10.1016/j.foodpol.2020.101869
Andrieu, 2017, Prioritizing investments for climate-smart agriculture: Lessons learned from Mali, Agric. Syst., 154, 13, 10.1016/j.agsy.2017.02.008
Arslan, 2015, Climate smart agriculture? Assessing the adaptation implications in Zambia, J. Agric. Econ., 66, 753, 10.1111/1477-9552.12107
Arslan, 2017, Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania, Food Policy, 69, 68, 10.1016/j.foodpol.2017.03.005
Aydinalp, 2008, The effects of global climate change on agriculture, Am. Eurasian. J. Agric. Environ. Sci., 3, 672
Baumüller, 2012, 1
Bhatt, 2019, 499
Bhatt, 2019, Strategies to practice climate-smart agriculture to improve the livelihoods under the rice-wheat cropping system in South Asia sustainable management of soil and environment, 29
Boothby, 2010, Technology adoption, training and productivity performance, Res. Policy, 39, 650, 10.1016/j.respol.2010.02.011
Branca, 2011, Climate-smart agriculture: a synthesis of empirical evidence of food security and mitigation benefits from improved cropland management, Mitigation of climate change in agriculture series, 3, 1
Brandt, 2017, How to target climate-smart agriculture? Concept and application of the consensus-driven decision support framework “targetCSA”, Agric. Syst., 151, 234, 10.1016/j.agsy.2015.12.011
Bravo-Ureta, 2012, Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project, Empir. Econ., 43, 55, 10.1007/s00181-011-0491-y
Brouwer, 2009, Economic valuation of flood risk exposure and reduction in a severely flood prone developing country, Environ. Dev. Econ., 14, 397, 10.1017/S1355770X08004828
Bryan, 2013, Adapting agriculture to climate change in Kenya: Household strategies and determinants, J. Environ. Manage., 114, 26, 10.1016/j.jenvman.2012.10.036
Caliendo, 2008, Some practical guidance for the implementation of propensity score matching, J. Econ. Surv., 22, 31, 10.1111/j.1467-6419.2007.00527.x
Chen, 2018, Coastal climate change, soil salinity and human migration in Bangladesh, Nat. Clim. Change., 8, 981, 10.1038/s41558-018-0313-8
Connelly, 2000, Assessing the relative importance of recall bias and nonresponse bias and adjusting for those biases in statewide angler surveys, Human Dimensions of Wildlife, 5, 19, 10.1080/10871200009359192
Coulibaly, 2017, Adoption of agroforestry and the impact on household food security among farmers in Malawi, Agric. Syst., 155, 52, 10.1016/j.agsy.2017.03.017
Dasgupta, 2015, Climate change and soil salinity: The case of coastal Bangladesh, Ambio, 44, 815, 10.1007/s13280-015-0681-5
Dinesh, 2017, The rise in Climate-Smart agriculture strategies, policies, partnerships and investments across the globe, Agric. dev., 30, 4
Eshetie, 2021, Nexus of Cash Crop Production Using Improved Varieties and Household Food Security, Eur. J. Dev. Res., 1
Fakhruddin, 2015, Community responses to flood early warning system: Case study in Kaijuri Union, Bangladesh. Int. J. Disaster Risk Reduct., 14, 323, 10.1016/j.ijdrr.2015.08.004
FAO. (2015). The impact of disasters on agriculture and food security. Retrieved from Rome: (accessed 6 July 2020).
Färe, 1984, 81
Farrell, 1957, The measurement of productive efficiency, J. R. Stat. Soc. Ser. A, 120, 253, 10.2307/2343100
Ferguson, 1966, Production, Prices, and the Theory of Jointly-Derived Input Demand Functions, Economica, 33, 454, 10.2307/2552724
Fischer, 2018, Transforming the global food system, Nature, 562, 501, 10.1038/d41586-018-07094-6
Fishburn, 1970
Førsund, 1980, A survey of frontier production functions and of their relationship to efficiency measurement, J. Econom., 13, 5, 10.1016/0304-4076(80)90040-8
Fried, 1993
Fuglie, 1995, Economic and environmental implications of soil nitrogen testing: A switching-regression analysis, Am. J. Agri. Econ., 77, 891, 10.2307/1243812
Funsani, 2016, Farmer input support programme and household income: lessons from zambia's southern province, Transform. Bus. Econ., 15, 396
Gebremariam, 2018, The heterogeneous effect of shocks on agricultural innovations adoption: Microeconometric evidence from rural Ethiopia, Food Policy, 74, 154, 10.1016/j.foodpol.2017.12.010
Godfray, 2010, Food security: the challenge of feeding 9 billion people, Science, 327, 812, 10.1126/science.1185383
Greene, 2003
Hasan, 2018, Impact of climate-smart agriculture adoption on the food security of coastal farmers in Bangladesh, Food security, 10, 1073, 10.1007/s12571-018-0824-1
Heckman, 1979, Sample selection bias as a specification error, Econometrica: J. Econometric Soc., 153–161
Hellin, 2018, Building pathways out of poverty through climate smart agriculture and effective targeting, Dev. Practice, 28, 974, 10.1080/09614524.2018.1492516
Hellin, 2019, Climate-smart agriculture and non-agricultural livelihood transformation, Clim., 7, 48, 10.3390/cli7040048
Hertel, 2010, Climate change, agriculture, and poverty, Appl. Econ. Perspect. Policy, 32, 355, 10.1093/aepp/ppq016
Huang, 2011, Climate change and trade in agriculture, Food Policy, 36, S9, 10.1016/j.foodpol.2010.10.008
Hussain, 1994, Impacts of the training and visit extension system on farmers' knowledge and adoption of technology: Evidence from Pakistan, Agri. Econ., 10, 39, 10.1111/j.1574-0862.1994.tb00287.x
Islam, 2017, Adaptation to climate change in agriculture in Bangladesh: The role of formal institutions, J. Environ. Manage., 200, 347, 10.1016/j.jenvman.2017.05.092
Issahaku, 2020, Can Farm Households Improve Food and Nutrition Security through Adoption of Climate-smart Practices? Empirical Evidence from Northern Ghana, Appl. Econ. Perspect. Policy, 42, 559, 10.1093/aepp/ppz002
Khatri-Chhetri, 2017, Farmers' prioritization of climate-smart agriculture (CSA) technologies, Agri. Syst., 151, 184, 10.1016/j.agsy.2016.10.005
Khatun, 2019, Effect of organic amendments on soil salinity and the growth of maize (Zea mays L.), Plant Sci. Today, 6, 106, 10.14719/pst.2019.6.2.491
Koopmans, 1951, An analysis of production as an efficient combination of activities, Activity analysis of production and allocation
Lee, 1982, Some approaches to the correction of selectivity bias, Rev. Econ. Stud., 49, 355, 10.2307/2297361
Lipper, 2014, Climate-smart agriculture for food security, Nat. Clim. Change, 4, 1068, 10.1038/nclimate2437
Lokshin, 2004, Maximum likelihood estimation of endogenous switching regression models, Stata J., 4, 282, 10.1177/1536867X0400400306
Long, 2016, Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from the Netherlands, France, Switzerland and Italy. J. Cleaner Prod., 112, 9, 10.1016/j.jclepro.2015.06.044
Luby, 2008, Tubewell water quality and predictors of contamination in three flood-prone areas in Bangladesh, J. Appl. Microbiol., 105, 1002, 10.1111/j.1365-2672.2008.03826.x
Maddala, 1986
Manda, 2016, Adoption and impacts of sustainable agricultural practices on maize yields and incomes: Evidence from rural Zambia, J. Agri. Econ., 67, 130, 10.1111/1477-9552.12127
McCarthy, N., 2014. Climate-smart agriculture in Latin America: drawing on research to incorporate technologies to adapt to climate change. Inter-American Development Bank. Strategy Development Division. II. Title. III. Series.
Meeusen, 1977, Efficiency estimation from Cobb-Douglas production functions with composed error, Int. Econ. Rev., 435, 10.2307/2525757
Mukasa, 2017, Credit constraints and farm productivity: Micro-level evidence from smallholder farmers in Ethiopia, African Development Bank. Working Paper Series No., 247
Muratbek, 2020, Towards cleaner production: certified seed adoption and its effect on technical efficiency, Sustainability
Mwalupaso, 2019, Recuperating dynamism in agriculture through adoption of sustainable agricultural technology-Implications for cleaner production, J. Clean. Prod., 232, 639, 10.1016/j.jclepro.2019.05.366
Mwalupaso, 2019, Agricultural informatization and technical efficiency in maize production in Zambia, Sustainability, 11, 2451, 10.3390/su11082451
Mwalupaso, 2020, Rethinking food production: nexus of mobile phones and production cost minimization, Int. J. Environ. Res. Public Health, 17, 2457, 10.3390/ijerph17072457
Mwalupaso, 2020, Ameliorating food and nutrition security in farm households: does informatization matter?, Sustainability, 12, 522, 10.3390/su12020522
Nelson, G.C., Rosegrant, M.W., Palazzo, A., Gray, I., Ingersoll, C., Robertson, R., Tokgoz, S., Zhu, T., Sulser, T.B., Ringler, C., Msangi, S., 2010. Food security, farming, and climate change to 2050: scenarios, results, policy options. Int. Food Policy Res. Inst.
Noltze, 2013, Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste, Ecol. Econ., 85, 59, 10.1016/j.ecolecon.2012.10.009
Paul, 2010, Flood proneness and coping strategies: the experiences of two villages in Bangladesh, Disasters, 34, 489, 10.1111/j.1467-7717.2009.01139.x
Quayyum, 2002, Grain yield and system productivity for rice-wheat-mungbean and rice-wheat-maize sequences in northern Bangladesh, Thai J. Agric. Sci., 51
Rahman, 2008, Determinants of crop choices by Bangladeshi farmers: A bivariate probit analysis, Asian J. Agric. Rural Dev., 5, 29, 10.37801/ajad2008.5.1.2
Rahman, R., Salehin, M., 2013. Flood Risks and Reduction Approaches in Bangladesh. In: Shaw R., Mallick F., Islam A. (eds) Disaster Risk Reduction Approaches in Bangladesh. Disaster Risk Reduction (Methods, Approaches and Practices). Springer, Tokyo. https://doi.org/10.1007/978-4-431-54252-0_4.
Rasheed, 2020, Women participation: a productivity strategy in rice production, Sustainability, 12, 2870, 10.3390/su12072870
Ravallion, 1999, When economic reform is faster then statistical reform: Measuring and explaining income inequality in rural China, Oxf. Bull. Econ. Stat., 61, 33, 10.1111/1468-0084.00115
Ray, 2019, Climate change has likely already affected global food production, PLoS ONE, 14, 10.1371/journal.pone.0217148
Reidsma, 2010, Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses, Eur. J. Agron., 32, 91, 10.1016/j.eja.2009.06.003
Riyadh, 2021, Adaptation of agroforestry as a climate smart agriculture technology in Bangladesh, Int. J. Agric. Res. Innov. Technol., 11, 49, 10.3329/ijarit.v11i1.54466
Sai, 2018, Towards impact-based flood forecasting and warning in Bangladesh: a case study at the local level in Sirajganj district, Nat. Hazards Earth Syst. Sci., 1
Salehin, 2018, 333
Schreinemachers, 2016, Farmer training in off-season vegetables: Effects on income and pesticide use in Bangladesh, Food Policy, 61, 132, 10.1016/j.foodpol.2016.03.002
Scott, 2013, Planning Theory & Practice, 14, 103, 10.1080/14649357.2012.761904
Sekabira, 2017, Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda, Food Policy, 73, 95, 10.1016/j.foodpol.2017.10.004
Shahzad, 2020, Adaptation to extreme weather conditions and farm performance in rural Pakistan, Agri. Sys., 180
Singh, I., Squire, L., Strauss, J., 1986. Agricultural household models: Extensions, applications, and policy.
Sokchea, 2015, Impact of contract farming with farmer organizations on farmers’ income: a case study of reasmey stung sen agricultural development cooperative in Cambodia, Aust. Agribus. Rev., 23, 1
Stigler, 1950, The development of utility theory, I. J. Polit. Econ., 58, 307, 10.1086/256962
Tadesse, 2015, Mobile phones and farmers’ marketing decisions in Ethiopia, World Dev., 68, 296, 10.1016/j.worlddev.2014.12.010
Talukder, A., Meisner, C., Baksh, M., Waddington, S., 2006. Wheat-maize-rice cropping on permanent raised beds in Bangladesh. Paper presented at the Permanent beds and rice-residue management for rice-wheat systems in the Indo-Gangetic Plain. Proceedings of a workshop held in Ludhiana, India.111-123.
Tambo, 2018, Building farmers' capacity for innovation generation: Insights from rural Ghana, Renew. Agric. Food Syst., 33, 116, 10.1017/S1742170516000521
Tarrant, 1993, Effects of recall bias and nonresponse bias on self-report estimates of angling participation, N. Am. J. Fish. Manag., 13, 217, 10.1577/1548-8675(1993)013<0217:EORBAN>2.3.CO;2
Wooldridge, 2015
Xenarios, 2016, Assessing vulnerability to climate change: Are communities in flood-prone areas in Bangladesh more vulnerable than those in drought-prone areas?, Water Resour. Rural Dev., 7, 1, 10.1016/j.wrr.2015.11.001
Xiong, 2014, Can climate-smart agriculture reverse the recent slowing of rice yield growth in China?, Agric. Ecosyst. Environ., 196, 125, 10.1016/j.agee.2014.06.014