3. Results and Discussion
3.1. Concepts and Definition
The term "agriculture" is used to refer to the production of crops, animals, fisheries, and forests. A technique to help direct efforts to change and reorient agricultural systems in order to effectively and sustainably promote food security and development in the face of a changing climate is called climate-smart agriculture. In order to preserve and improve agriculture's ability to sustainably support food security, climate-smart agriculture aims to determine which production systems and supporting organizations are most appropriate for addressing the challenges posed by climate change in particular regions. As a result, climate-smart agriculture encompasses tried-and-true practical methods including crop rotation, mulching, intercropping, conservation agriculture, integrated crop-livestock management, agroforestry, better grazing, and better water management. It encompasses cutting-edge techniques including improved weather forecasting, risk insurance, and early-warning systems. In order to meet the needs of the changing climate, it is important to create new technologies, such as crops that can withstand drought or floods, and to get existing technologies off the shelf and into the hands of farmers
| [51] | Njeru, E., Grey, S. and Kilawe, E., 2016. Eastern Africa climate-smart agriculture scoping study: Ethiopia, Kenya and Uganda. |
[51]
.
3.2. Climate Smart Agriculture Main Goal and Objectives
FAO introduced the concept of "Climate-Smart" agriculture in 2010 as a background paper for the Hague Conference on Agriculture, Food Security, and Climate Change (FAO, Climate-Smart" Agriculture Policies, Practices and Financing for Food Security, Adaptation and Mitigation. 2010)
| [22] | FAO, F., 2010, October. Climate smart agriculture: policies, practices and financing for food security, adaptation and mitigation. In Hague Conference on Agriculture, Food Security and Climate Change. |
[22]
. The paper addressed three primary goals: Increasing agricultural incomes and production to sustainably increase food security; fostering climate change adaptation and resilience; and creating chances to cut greenhouse gas emissions relative to anticipated trends.
3.2.1. Sustainably Increasing Agricultural Productivity and Incomes
Agriculture is the primary source of income for about 75% of the world's impoverished, who reside in rural areas. Experience has demonstrated that in nations where a sizable portion of the population depends on agriculture, expansion of the agricultural sector is very beneficial in lowering poverty and boosting food security. Agricultural expansion can be achieved in part by increasing productivity and lowering costs through improved resource-use efficiency. Smallholder farmers in developing nations have significant "yield gaps," which are the discrepancies between the yields they achieve on their farms and the maximum yield that is physically possible
| [23] | FAO, 2012. Crop diversification for sustainable diets and nutrition: In Technical report, Plant Production and Protection Division. United Nations, Food and Agriculture Organization, Rome. |
[23]
. In a similar vein, livestock productivity is frequently much below its potential. Reducing these disparities by improving agro-ecosystem productivity and the efficiency of soil, water, fertilizer, livestock feed, and other agricultural inputs provides greater returns to farmers, lowering poverty and expanding access to and availability of food. When compared to historical trends, these identical actions can frequently lead to lower greenhouse gas emissions.
3.2.2. Building Resilience to Climate Change
The Intergovernmental Panel on Climate Change (IPCC) recently released its fifth assessment report, which states that the effects of climate change on crop and food production are already noticeable in a number of global locations, with negative effects outnumbering positive ones and developing nations being particularly vulnerable to even more detrimental effects on agriculture
| [30] | IPCC 2014 Summary for policymakers in: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change ed C B Field et al (Cambridge) (Cambridge University Press) (Cambridge, United Kingdom and New York, NY, USA) pp 1–32. |
[30]
. It is anticipated that average and seasonal maximum temperatures will continue to rise in the medium and long term, which will raise average rainfall. However, these effects will not be distributed equally. Globally, wet regions and seasons are becoming wetter, while dry regions and seasons are becoming dryer
| [55] | Porter, J. R., Xie, L., Challinor, A. J., Cochrane, K., Howden, S. M., Iqbal, M. M., Lobell, D. B. and Travasso, M. I., 2014. Food security and food production systems. |
[55]
. Increased exposure to these climatic risks, which are already occurring in many regions of the world, threatens to significantly reduce poverty and boost food security among low-income groups that depend on agriculture. These detrimental effects of climate change can be lessened or even avoided, but doing so will require developing and putting into practice efficient adaptation plans. The best adaptation techniques will differ even within nations due to the site-specific impacts of climate change, as well as the great diversity in agro-ecologies and farming, livestock, and fishing systems. There are currently a number of potential adaptation measures that might serve as a solid foundation for creating adaptation plans that work for every given location. Increasing ecosystem services by applying agroecology concepts and landscape techniques is one way to improve the resilience of agro-ecosystems. Examples of adaptation strategies that can boost resilience include diversifying production or incomes to reduce risk exposure, as well as establishing input supply networks and extension services that facilitate timely and effective use of inputs, such as stress-tolerant crop varieties, livestock breeds, and fish and forestry species
| [55] | Porter, J. R., Xie, L., Challinor, A. J., Cochrane, K., Howden, S. M., Iqbal, M. M., Lobell, D. B. and Travasso, M. I., 2014. Food security and food production systems. |
[55]
.
3.2.3. Developing Opportunities to Reduce Greenhouse Gases Emissions Compared to Expected Trends
Approximately 25% of all anthropogenic greenhouse gas emissions are caused by agriculture, which includes land-use change. In addition to being a primary cause of deforestation and the deterioration of peatlands, agriculture also adds to emissions mostly through the management of crops and animals. As a result of anticipated agricultural expansion under business-as-usual growth strategies, non-CO
2 emissions from agriculture are predicted to rise. The greenhouse gas emissions from agriculture can be decreased in a number of ways. One important tactic for agricultural mitigation is sustainable intensification, which lowers emission intensity (such as the CO
2 eq/unit product). In order for the increase in agricultural output to outpace the increase in emissions, the process entails putting new practices into place that improve the efficiency of input utilization Increasing agriculture's ability to sequester carbon is another crucial strategy to reduce emissions. Carbon sequestration is the process by which plants and soils absorb CO
2 from the atmosphere and store it in their biomass. Two strategies for sequestering carbon in agricultural systems are lowering soil disturbance (e.g., through reduced tillage) and increasing tree cover in crop and animal systems (e.g., through agroforestry). This method of reducing emissions might not last forever, though, as the stored CO
2 is released if the trees are felled or the ground is ploughed. Notwithstanding these obstacles, increasing carbon sequestration offers a significant potential mitigation source, particularly given that the agricultural methods that produce sequestration are also critical for food security and adaptability
| [61] | Smith, P., Bustamante, M., Ahammad, H., Clark, H., Dong, H., Elsiddig, E. A., Haberl, H., Harper, R., House, J., Jafari, M. and Masera, O., 2014. Agriculture, forestry and other land use (AFOLU). In Climate change 2014: mitigation of climate change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 811-922). Cambridge University Press. |
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3.3. The Analytical Framework for Climate-smart Agriculture
The goal of climate-smart agriculture (CSA) is to minimize any potential negative trade-offs while fostering synergies among food security, adaptation, and mitigation of climate change—all of which are directly tied to agriculture. By integrating the need for adaptation and the possibility of mitigation into development initiatives, CSA aims to increase the agriculture sector's ability to sustainably support food security. Opportunities and obstacles to implementation, and hence policy choices, will be determined by the unique situations, circumstances, and capacities within nations
| [23] | FAO, 2012. Crop diversification for sustainable diets and nutrition: In Technical report, Plant Production and Protection Division. United Nations, Food and Agriculture Organization, Rome. |
| [37] | Kebeda, B. T., Abdisa, T. O. and Berkessa, A. J., 2019. Review on The Expected Role of Climate Smart Agriculture on Food System in Ethiopia. |
[23, 37]
. There is no set model for CSA; instead, its final implementation will depend on the unique circumstances of each nation and community. Accordingly, climate-smart agricultural production methods can provide substantial co-benefits for climate change adaptation and mitigation while also optimizing the benefits for food security
| [10] | Branca, G., McCarthy, N., Lipper, L. and Jolejole, M. C., 2011. Climate-smart agriculture: a synthesis of empirical evidence of food security and mitigation benefits from improved cropland management. Working paper, Rome, FAO. |
[10]
.
3.4. Climate-Smart Agriculture Technologies and Practices
The implementation of climate-smart agriculture (CSA) practices and technologies in Ethiopia is taking place within the framework of integrated watershed management, which includes a variety of crop and livestock production practices such as agroforestry, crop rotation, and intercropping, as well as soil and water conservation measures like tie ridges, terracing, soil/stone bunds, and infiltration ditches, among others
| [51] | Njeru, E., Grey, S. and Kilawe, E., 2016. Eastern Africa climate-smart agriculture scoping study: Ethiopia, Kenya and Uganda. |
[51]
. Despite their potential advantages for adaptation, productivity gains, and mitigation efforts, the majority of the climate-smart agriculture techniques and technology identified have low to medium on-farm adoption rates. Numerous major obstacles to broad adoption include restricted or nonexistent access to productive inputs (better seeds and fertilizer), insufficient credit availability, inadequate equipment and technology, limited availability of formal markets for produce sales, and poor quality and accessibility of extension services, especially with regard to climate-smart agriculture
| [39] | Kifle Demissie, Tekeste, 2019. Climate Smart Agricultural Practices and Its Implications to Food Security in Siyadebrina Wayu Woreda, North Shewa, Ethiopia (Doctoral Dissertation, Addis Ababa University). |
| [51] | Njeru, E., Grey, S. and Kilawe, E., 2016. Eastern Africa climate-smart agriculture scoping study: Ethiopia, Kenya and Uganda. |
[39, 51]
.
There is disagreement over which practices and technology should be taken into account in CSA. There are many who contend that any agricultural method that increases output or resource efficiency qualifies as climate smart. According to
| [31] | Jetté‐Nantel, S., Freshwater, D., Katchova, A. L. and Beaulieu, M., 2011. Farm income variability and off‐farm diversification among Canadian farm operators. Agricultural Finance Review, 71(3), pp. 329-346. |
[31]
. some view CSA as an adjunct to sustainable intensification of agricultural production systems. Since little is known about the connection between conservation agriculture and CSA, any practice that falls under conservation agriculture may be categorized as CSA. Crop yields, water and nutrient use efficiency, and greenhouse gas emissions from agricultural fields can all be improved by implementing conservation agricultural practices like minimum tillage, various crop establishment techniques, nutrient and irrigation management, and residue incorporation. Similar to this, academics view the adoption of better seeds, rainwater collection devices, and agricultural insurance as climate-smart since they help mitigate the effects of extreme weather occurrences
| [28] | Heumesser, C. and Kray, H. A., 2019. Productive Diversification in African Agriculture and its Effects on Resilience and Nutrition. |
[28]
. Numerous agricultural techniques and methods are already available in the field that can help boost output while maintaining an emphasis on environmental sustainability. These technology and practices play a critical role in lowering the intensity of greenhouse gas emissions and the current and future effects of climate change on agriculture
| [42] | Lipper, L., Thornton, P., Campbell, B. M., Baedeker, T., Braimoh, A., Bwalya, M., Caron, P., Cattaneo, A., Garrity, D., Henry, K. and Hottle, R., 2014. Climate-smart agriculture for food security. Nature climate change, 4(12), pp. 1068-1072. |
[42]
.
A wide range of CSA solutions have been put out to mitigate the adverse effects of climate change, create agricultural production systems that are climate resilient, and capitalize on the advantages of global warming, according to
| [36] | Kebede, T., Haji, J., Legesse, B. and Mammo, G.,. 2016. Econometric analysis of rural households’ resilience to food insecurity in West Shoa, Ethiopia. Journal of Food Security, 4(3), pp. 58-67. |
[36]
. These choices range from making minor adjustments to crop management procedures (such as modifying the time of sowing, water and fertilizer application, tillage techniques, and intercultural operations) to altering agricultural production systems (such as altering cropping systems and land uses) in order to adapt to new climatic conditions in a specific area. Crop yields, net farm incomes, and input use efficiency can all be greatly increased by these options, which can also, whenever feasible, lower greenhouse gas emissions. An overview of CSA practices in Ethiopia is provided below:
Table 1. Summary of some common CSA practices in Ethiopia.
CSA Practice | Components | Why it is Climate Smart? |
Conservation Agriculture | 1. Reduced tillage 2. Crop residue management-mulching, intercropping 3. Crop rotation/intercropping with cereals and legumes | 1. Carbon sequestration 2. Reduce existing emissions 3. Resilience to dry and hot spells |
Integrated Soil Fertility Management | 1. Compost and manure management, including green manuring 2. Efficient fertilizer application techniques (time, method, amount) | 1. Reduced emission of nitrous oxide and CH4 2. Improved soil productivity |
Small-Scale Irrigation | 1. Year-round cropping 2. Efficient water utilization | 1. Creating carbon sink 2. Improved yields 3. Improved food security |
Agroforestry | 1. Tree-based conservation agriculture 2. Practiced both traditionally and as improved practice 3. Farmer managed natural regeneration | 1. Trees store large quantities of CO2 2. Can support resilience and improved productivity of agriculture |
Crop Diversification | 1. Popularization of new crops and crop varieties 2. Pest resistance, high yielding, tolerant to drought, short season | 1. Ensuring food security 2. Resilience to weather variability 3. Alternative livelihoods and improved incomes |
Improved Livestock Feed and Feeding Practices | 1. Reduced open grazing/zero grazing 2. Forage development and rangeland management 3. Feed improvement 4. Livestock breed 5. improvement and diversification | 1. Improved livestock productivity 2. GHG reduction 3. CH4 reduction |
Other | 1. In situ water conservation/ harvesting 2. Early warning systems and improved weather information 3. Support to alternative energy fuel-efficient stoves, biofuels 4. Crop and livestock insurance 5. Livelihood’s diversification 6. Post-harvest technologies (agro-processing, storage) | 1. Resilience of agriculture 2. Improved incomes 3. Reduced emissions 4. Reduced deforestation 5. Reduced climate risk |
Source:
| [37] | Kebeda, B. T., Abdisa, T. O. and Berkessa, A. J., 2019. Review on The Expected Role of Climate Smart Agriculture on Food System in Ethiopia. |
[37]
.
3.5. Climate Smart Agriculture Related Policies and Strategies in Ethiopia
The United Nations Framework Convention on Climate Change (UNFCCC), the Convention on Biological Diversity (CBD), and the United Nations Convention to Combat Desertification (UNCCD) are just a few of the international conventions and protocols pertaining to climate change and land degradation that Ethiopia has ratified and signed. Policies and strategies that are pertinent to CSA include the Climate-Resilient Green Economy Strategy (CRGES), the Ethiopian Program of Adaptation to Climate Change (EPACC), the National Adaptation Program of Action (NAPA), the Ethiopian Program of Adaptation to Climate Change (EPACC), the National Appropriate Mitigation Actions (NAMA), the Agricultural Sector Policy and Investment Framework (PIF), the Environmental Impact Assessment Proclamation (EIA), and the Environmental Policy of Ethiopia (EPE)
| [37] | Kebeda, B. T., Abdisa, T. O. and Berkessa, A. J., 2019. Review on The Expected Role of Climate Smart Agriculture on Food System in Ethiopia. |
[37]
.
Conceptual framework
The conceptual framework provides a graphic representation of the productivity and adoption of climate-smart agricultural practices. Climate-smart farming practices, agricultural production, and food security are all intertwined factors contributing to climate change. Additionally, the conceptual framework identifies the socio-economic, demographic, and institutional elements that impact the adoption of CSA as well as climate-smart agriculture methods. The CSA is closely related to agricultural output, which raises agricultural income and productivity, provides households with food security, and diversifies sources of income. CSA and agricultural production are clearly related, and they should be crucial to raising agricultural productivity and ensuring food security (
figure 1).
The adoption of climate-smart agricultural methods is influenced by a number of factors, including institutional, demographic, and socioeconomic ones. Demographic characteristics such as age, household size, sex, and educational level of household; socioeconomic characteristics such as land and income of household affect farmer decision to adopt climate-smart agricultural practices. Access to climate change knowledge, agricultural extension agents, and loan availability are some of the institutional elements that influence farmers' decisions to use climate-smart agricultural practices.
Figure 1. Variable effects climate smart agriculture practices.
3.6. Empirical Evidence on Adoptions of Climate-smart Agriculture
A number of empirical researches have been conducted to understand factors that affect farmer adoption of Climate Smart Agriculture
| [62] | Teklewold, H., Kassie, M. and Shiferaw, B., 2013. Adoption of multiple sustainable agricultural practices in rural Ethiopia. Journal of agricultural economics, 64(3), pp. 597-623. |
[62]
. These studies identified common variables that affect the smallholder farmers' adoption of climate-smart agricultural practices. The farmer's age, gender, family size, wealth, membership in agricultural organizations, land ownership, and education level influence the adoption of sustainable practices. Adoption rate is also determined by subjective variables such as farmer ‘s awareness of new practices, personal willingness, and overall concern for the problem the practices aim to address
| [18] | Deressa, T. T., Hassan, R. M. and Ringler, C., 2011. Perception of and adaptation to climate change by farmers in the Nile basin of Ethiopia. The Journal of Agricultural Science, 149(1), pp. 23-31. |
[18]
.
According to
| [39] | Kifle Demissie, Tekeste, 2019. Climate Smart Agricultural Practices and Its Implications to Food Security in Siyadebrina Wayu Woreda, North Shewa, Ethiopia (Doctoral Dissertation, Addis Ababa University). |
[39]
the commonly described barriers to the adoption of climate-smart practices are financial constraints, shortages of labor, land, and water. Farmers may be generally willing to adopt new practices, but perceive a specific practice to be inadequate, unnecessary, or difficult to incorporate into existing management systems. Two broad categories of barriers or factors that prevent the adoption of climate-smart agriculture were identified. These are physical or hardware and non-physical or software barriers. The physical barriers are inputs such as land, human resources, equipment, infrastructure, and finances. And the non-physical or software barriers relate to the institutional, cultural, policy, and regulatory environments; information, knowledge and skills; technologies and innovations; and governance among others
| [39] | Kifle Demissie, Tekeste, 2019. Climate Smart Agricultural Practices and Its Implications to Food Security in Siyadebrina Wayu Woreda, North Shewa, Ethiopia (Doctoral Dissertation, Addis Ababa University). |
[39]
.
Effects of agricultural input and output markets on the adoption of CSA: The decisions farmers make about the type of technologies and practices they adopt are determined by the benefits and costs associated with them, which in turn is affected by the ability of producers to access input supply and output market chains. Improved market access that raises the returns to land and labor is, therefore, a critical force for the adoption of new climate-smart practices in agriculture. However, many smallholder farmers in vulnerable areas continue to face complex challenges in the adoption of CSA options. There is still inadequate understanding of the market, policy, and institutional failures that shape and structure farmer incentives and investment decisions
| [12] | CCAFS, F., 2014. Climate Smart Agriculture: What is it? Why is it needed. Food and Agriculture Organization of United nations, Rome, Italy. |
[12]
.
Effects of information on the adoption of CSA: Information on the types of options, particularly those well suited to local conditions, is often scarce. For instance, this lack of information can increase the risk of planting expensive seeds that may not survive or otherwise do poorly. The information available to farmers on the types of CSA options that are well-adapted to the locality is likely to be an important determinant for adoption. Information may come from several sources, including government extension programs and non-governmental organization (NGO)/donor programs
| [37] | Kebeda, B. T., Abdisa, T. O. and Berkessa, A. J., 2019. Review on The Expected Role of Climate Smart Agriculture on Food System in Ethiopia. |
[37]
. Climate change, by increasing uncertainty, as well as the value of rapid and accurate response increases the value of information.
| [16] | Demissie, A. and Legesse, B., 2013. Determinants of income diversification among rural households: The case of smallholder farmers in Fedis district, Eastern Hararghe zone, Ethiopia. Journal of Development and Agricultural Economics, 5(3), pp. 120-128. |
[16]
. These include institutions engaged in agricultural research, extension, agricultural production and marketing statistics, and the provision of climate-related information. Adopting CSA requires farmers to make both short- and long-term planning decisions and technology choices. Agricultural extension systems are the main conduit for disseminating information required to make such changes. Difficulty in communicating the information and lack of user participation in the development of information systems is a problem
| [37] | Kebeda, B. T., Abdisa, T. O. and Berkessa, A. J., 2019. Review on The Expected Role of Climate Smart Agriculture on Food System in Ethiopia. |
[37]
.
Effects of credit facilities on the adoption of CSA: Credit service is an important factor that influences the adoption of agricultural technologies, especially for poor farmers who often have limited financial resources for purchasing agricultural inputs and implements
| [37] | Kebeda, B. T., Abdisa, T. O. and Berkessa, A. J., 2019. Review on The Expected Role of Climate Smart Agriculture on Food System in Ethiopia. |
[37]
.
3.7. Agricultural and Crop Diversification
Diversification in agriculture commonly means growing different crops instead of concentrating under a single crop. However, Pingali and Rosengrant
| [54] | Pingali, P. L. and Rosegrant, M. W. 1995. Agricultural commercialization and diversification: processes and policies. Food Policy 20 (3): 171-185. |
[54]
defined diversification as “change in product (or enterprise) choice and input use decisions based on market forces and the principles of profit maximization”. Conversely,
| [33] | Joshi, P. K., Gulati, A., Birthal, P. S. and Tewari, L., 2004. Agriculture diversification in South Asia: patterns, determinants and policy implications. Economic and political weekly, pp. 2457-2467. |
[33]
. have defined “agricultural diversification as the movement of production-portfolio from a low-value commodity mix (crop and livestock) to high-value commodity-mix (crops and livestock)” making a shift from the traditional definition. However, to encompass all the agricultural and allied sectors, diversification should be considered as a strategy of changing crop or enterprise-mix with a more equivalent distributive share for each sector. But the rationale to select agricultural diversification as a strategy connects different logic viz. risk minimization, sustainability, or high production depending on the intention of the farmer.
Agricultural diversification can be categorized as 1) shift of resources from farming activities to non-farming activities; 2) resource reallocation within the farming activities such as from less profitable crop (enterprise) to more profitable crop (enterprise); 3) resource use in diverse but complimentary activities. According to the different authors, agricultural diversification involves a shift from a regional dominant crop to another crop, from one enterprise (e.g., crop) to another (livestock) or to be involved in other complementary activities (including crop, livestock, and non-farm). A study also
| [33] | Joshi, P. K., Gulati, A., Birthal, P. S. and Tewari, L., 2004. Agriculture diversification in South Asia: patterns, determinants and policy implications. Economic and political weekly, pp. 2457-2467. |
[33]
also described diversification as (i) undertaking a mix of diverse and complementary activities within the agricultural sector; (ii) reallocation of resources from low-value activities/commodities to high-value activities/commodities; and (iii) resource shifting from farming to non-farming activities. Accordingly, agricultural diversification can be analyzed as 1) crop diversification, 2) livestock diversification, and 3) income diversification (crop, livestock, and non-farm)
| [57] | Sen, B., Venkatesh, P., Jha, G. K., Singh, D. R. and Suresh, A., 2017. Agricultural diversification and its impact on farm income: a case study of Bihar. Agricultural Economics Research Review, 30(conf), pp. 77-88. |
[57]
.
Different scholars define crop diversification in various ways. Crop diversification can be considered as the re-allocation of farm resources, such as land, capital, labor, and farm equipment to new or different crops of relatively high value or more stress-tolerant crop species from susceptible crop species. Crop diversification has also been used as an adaptation strategy by an individual household or groups to reduce the level of vulnerability deriving from adverse policy and climatic impacts. Ethiopian smallholders also grow crop species that are genetically diverse to meet the diverse socioeconomic needs as well as to withstand risks of the market and climatic variability
| [60] | Sime Kidane, M., 2019. The nexus of crop and income diversification, commercialization and household welfare: empirical evidence from Ethiopia (Doctoral dissertation, University of KwaZulu-Natal). |
[60]
.
Ethiopian smallholders undertake their livelihood activities under complex, diverse, and risky environmental conditions. Adverse events because of unpredictable weather conditions and periodic droughts, declining landholding and fragmentation, lack of institutional services, the fluctuation of input and output prices, and population pressure significantly impact household welfare. Declining farm size and soil fertility, erratic rainfall distribution, and recurrent drought are the main contributors to food insecurity and vulnerability of smallholders in the country
| [64] | Tesfaye, W. and Seifu, L., 2016. Climate change perception and choice of adaptation strategies: Empirical evidence from smallholder farmers in east Ethiopia. International Journal of Climate Change Strategies and Management, 8(2), pp. 253-270. |
[64]
. These challenges can be the push factors towards diversification while the ongoing infrastructures (roads, telecommunication, electricity, and so on) development and expansion can be considered as pull factors
| [60] | Sime Kidane, M., 2019. The nexus of crop and income diversification, commercialization and household welfare: empirical evidence from Ethiopia (Doctoral dissertation, University of KwaZulu-Natal). |
[60]
.
3.8. Empirical Evidence Crop Diversification vs. Smallholder Farmers’ Productivity
Earlier studies confirmed that diversification from staple food crops towards cash crops and/ or varieties with a desired agronomic and market attributes is triggered by the diversity that exists among the farming households. A variable that explains crop diversification and intensity include farming experience, the sex of a farmer, area of a plot owned, access to extension and credit services, social-capital of the household, and agroecology. The empirical analysis was explained as follows.
The study investigated the pattern, trend, and covariates of crop diversification in eastern Ethiopia based on data collected from 167 households randomly and proportionately selected. To manage risks of drought, pests and diseases, soil fertility decline, and input price variations, farmers in the study areas employ crop diversification as a self-insuring strategy. The farmers are becoming risk-averse which has implications on technology adoption. Tobit model result indicated that farmers with more extension contacts and larger livestock size are likely to specialize whereas those who have access to market information and irrigation, those who own machinery, and more farm plots are more likely to diversify. The extension system should include risk-minimization as a strategy
| [48] | Mesfin, W., Fufa, B. and Haji, J., 2011. Pattern, trend and determinants of crop diversification: empirical evidence from smallholders in eastern Ethiopia. Journal of Economics and Sustainable Development, 2(8), pp. 78-89. |
[48]
.
A study by
| [16] | Demissie, A. and Legesse, B., 2013. Determinants of income diversification among rural households: The case of smallholder farmers in Fedis district, Eastern Hararghe zone, Ethiopia. Journal of Development and Agricultural Economics, 5(3), pp. 120-128. |
[16]
examined the determinants of income diversification among rural households using cross-sectional data collected from the Fedis District of Eastern Hararghe, Ethiopia. The multinational logit model was used to identify factors influencing households’ participation in non-farm activities while the determinants of non-farm income were analyzed by the Tobit model. Factors related to human capital (gender and age of the household head, number of economically active family members, household head's education level, and presence of children attending school), livelihood assets (livestock holding, size of cultivated land), livelihood diversifying strategy (crop-based diversification through several crops grown harvested), and infrastructure (proximity to market) are found to have an impact on participation in non-farm employment activities and the amount of income derived.
According to
| [6] | Ashfaq, M., Hassan, S., Naseer, M. Z., Baig, I. A. and Asma, J., 2008. Factors affecting farm diversification in rice–wheat. Pakistan Journal of Agricultural Sciences, 45(3), pp. 91-94. |
[6]
, a number of socioeconomic and institutional factors, including land size, age, education, farming experience, off-farm income, the distance between the farm and the main road and market, and farm machinery ownership, all have an impact on crop diversification. In addition,
| [15] | Day, F. C. S. K., 2011. Energy-smart food for people and climate. FAO, Rome. |
[15]
discovered that the main determinants of crop selections in northern Ethiopia were proximity to a town, road accessibility, education, liquid wealth, and irrigation availability. Furthermore,
| [50] | Mussema, R., Kassa, B., Alemu, D. and Shahidur, R., 2015. Determinants of crop diversification in Ethiopia: Evidence from Oromia region. Ethiopian Journal of Agricultural Sciences, 25(2), pp. 65-76. |
[50]
proved that the households' choices regarding crop diversification were greatly impacted by the size of the land, the amount of money they made from the sale of grain, the distance from the district, the walking time to the farm, the availability of all-weather conditions, market information, extension services, the proportion of fertile plots, and a number of other factors.
A study by
| [9] | Bradshaw, B., Dolan, H. and Smit, B., 2004. Farm-level adaptation to climatic variability and change: crop diversification in the Canadian prairies. Climatic change, 67(1), pp. 119-141. |
[9]
. found that the articles reported both non-significant and positive relationships between smallholders' adoption of innovations and agricultural experience. A cross-sectional and panel study from Uganda revealed a mixed (inverted-U-shaped) association between farming experience and the use of technology for maize, coffee, and bananas. Based on their experience, the authors claim that farmers can stop using the technologies, particularly if they require more labor and require an increase in farm area. The farming experience is anticipated to have a favorable or negative impact on crop diversity in this study as well.
The gender of the household head is another household attribute that is given more weight in studies of smallholders' decision behavior. A study carried out in Kenya revealed that households headed by men tend to be more diverse than those headed by women
| [34] | Kanyua, M. J., Ithinji, G. K., Muluvi, A. S., Gido, O. E. and Waluse, S. K., 2013. Factors influencing diversification and intensification of horticultural production by smallholder tea farmers in Gatanga District, Kenya. Current Research Journal of Social Sciences, 5(4), pp. 103-111. |
[34]
. In most societies, female-headed households have less access to institutional services like land, education, agricultural extension, and other social services than male-headed households. This sociocultural factor is the reason behind the underlying assumption that female-headed households adopt less. In order to meet household food needs, it is therefore anticipated that households headed by men will diversify more, while households headed by women will concentrate on producing staple cereals. However, female-headed households can also participate in diversification practices, as it is a technique for adapting to the hazards of crop failure or price fluctuations
| [19] | Dev, T., Sultana, N. and Hossain, M. E., 2016. Analysis of the impact of income diversification strategies on food security status of rural households in Bangladesh: A case study of Rajshahi district. American Journal of Theoretical and Applied Business, 2(4), pp. 46-56. |
[19]
.
Farm income diversification has also become one of the important determinants of farm household well-being. Households diversify their income in response to farm income risks by engaging in non-farm activities
| [31] | Jetté‐Nantel, S., Freshwater, D., Katchova, A. L. and Beaulieu, M., 2011. Farm income variability and off‐farm diversification among Canadian farm operators. Agricultural Finance Review, 71(3), pp. 329-346. |
[31]
. The study also suggested that farm income diversification is an important policy instrument towards income stabilization as an alternative risk management strategy. Another study in China shows that income diversification plays an important role in enhancing the resilience of smallholders to drought and stabilize livelihood systems. Diversification of income has a favorable correlation with household welfare in Nigeria.
| [3] | Akaakohol, M. A. and Aye, G. C., 2014. Diversification and farm household welfare in Makurdi, Benue State, Nigeria. Development Studies Research. An Open Access Journal, 1(1), pp. 168-175. |
| [14] | Daud, A. S., Awotide, B. A., Omotayo, A. O., Omotosho, A. T. and Adeniyi, A. B., 2018. Effect of Income Diversification on Household's Income in Rural Oyo State, Nigeria. Acta Universitatis Danubius: Oeconomica, 14(1). |
[3, 14]
. The non-farm income also plays an important role to smoothen household consumption during agricultural shocks
| [55] | Porter, J. R., Xie, L., Challinor, A. J., Cochrane, K., Howden, S. M., Iqbal, M. M., Lobell, D. B. and Travasso, M. I., 2014. Food security and food production systems. |
[55]
. The study from Nigeria found that household income diversification can play both risk management and income enhancing role
| [60] | Sime Kidane, M., 2019. The nexus of crop and income diversification, commercialization and household welfare: empirical evidence from Ethiopia (Doctoral dissertation, University of KwaZulu-Natal). |
[60]
.
Crop diversity has been employed as an adaptation approach to increase household welfare, reduce income fluctuation risks, and explore opportunities
| [3] | Akaakohol, M. A. and Aye, G. C., 2014. Diversification and farm household welfare in Makurdi, Benue State, Nigeria. Development Studies Research. An Open Access Journal, 1(1), pp. 168-175. |
[3]
. The findings of specific studies, look at how crop and income diversity affect the welfare of particular households. Research on the effects of crop diversification on household welfare indicates that there is little correlation between the degree of crop diversification and the likelihood of living in poverty, though the effect diminishes beyond a certain threshold of diversification
| [8] | Birthal, P. S., Roy, D. and Negi, D. S., 2015. Assessing the impact of crop diversification on farm poverty in India. World Development, 72, pp. 70-92. |
| [41] | Lin, B. B., 2011. Resilience in agriculture through crop diversification: adaptive management for environmental change. BioScience, 61(3), pp. 183-193. |
[8, 41]
. In contrast to the rice-wheat system, the household's output and profitability significantly rose when potatoes, mung bean, clover, and rapeseed were introduced as part of agricultural diversification into a wheat-rice system. Crop diversification has produced lucrative returns, especially for smallholders in South East Asia and Thailand
| [35] | Kasem, S. and Thapa, G. B., 2011. Crop diversification in Thailand: Status, determinants, and effects on income and use of inputs. Land Use Policy, 28(3), pp. 618-628. |
[35]
. Using data from 500 respondents,
| [43] | Makate, C., Wang, R., Makate, M. and Mango, N., 2016. Crop diversification and livelihoods of smallholder farmers in Zimbabwe: adaptive management for environmental change. SpringerPlus, 5, pp. 1-18. |
[43]
. calculated how crop diversification affected two significant outcomes: production and climate change adaption. The authors claim that diversity is a practical strategy for climate-smart agriculture, which greatly increases smallholders' resilience and production. Crop diversification was proven to have a positive impact on rural households' income and nutrition (dietary diversity) in eight developing nations
| [53] | Pellegrini, L. and Tasciotti, L. 2014. Crop diversification, dietary diversity and agricultural income: empirical evidence from eight developing countries. Canadian Journal of Development Studies/Revue canadienne d'études du développement 35 (2): 211-227. |
[53]
. Studies conducted in Ethiopia have demonstrated that diversification boosts productivity and reduces production fluctuations
| [20] | Di Falco, S., Yesuf, M., Kohlin, G. and Ringler, C., 2012. Estimating the impact of climate change on agriculture in low-income countries: Household level evidence from the Nile Basin, Ethiopia. Environmental and Resource Economics, 52, pp. 457-478. |
[20]
. However, according to
| [7] | Bangwayo‐Skeete, P. F., Bezabih, M. and Zikhali, P., 2012, November. Crop biodiversity, productivity and production risk: Panel data micro‐evidence from Ethiopia. In Natural Resources Forum (Vol. 36, No. 4, pp. 263-273). |
[7]
diversification does not appear to lessen yield-related downside risks.
Additionally, diversification can support ecosystem services like effective nutrient cycling and biodiversity protection, as well as the production of crops and livestock
| [56] | Sanderson, M. A., Archer, D., Hendrickson, J., Kronberg, S., Liebig, M., Nichols, K., Schmer, M., Tanaka, D. and Aguilar, J., 2013. Diversification and ecosystem services for conservation agriculture: Outcomes from pastures and integrated crop–livestock systems. Renewable agriculture and food systems, 28(2), pp. 129-144. |
[56]
. Using panel data from Ethiopia,
| [49] | Michler, J. D. and Josephson, A. L., 2017. To specialize or diversify: Agricultural diversity and poverty dynamics in Ethiopia. World Development, 89, pp. 214-226. |
[49]
found that, in contrast to specialization, cultivating a variety of crops lowers the likelihood of becoming poor, sliding into poverty, and staying poor. Additionally, crop diversification can boost crop sales volume and give smallholders the chance to find a crop or crops with greater market demand for production
| [53] | Pellegrini, L. and Tasciotti, L. 2014. Crop diversification, dietary diversity and agricultural income: empirical evidence from eight developing countries. Canadian Journal of Development Studies/Revue canadienne d'études du développement 35 (2): 211-227. |
[53]
. Generally speaking, specialization follows market size hitting a threshold, while diversification rises first as the market grows
| [21] | Emran, M. S. and Shilpi, F., 2012. The extent of the market and stages of agricultural specialization. Canadian Journal of Economics/Revue canadienne d'économique, 45(3), pp. 1125-1153. |
[21]
. However, compared to specialization, diverse farming is less economically efficient and more environmentally sustainable
| [13] | Czyżewski, A. and Smędzik-Ambroży, K., 2015. Specialization and diversification of agricultural production in the light of sustainable development. Journal of International Studies Vol, 8(2), pp. 63-73. |
[13]
. According to another study, crop diversity significantly lowers technical efficiency
| [26] | Haji, J., 2007. Production efficiency of smallholders' vegetable-dominated mixed farming system in eastern Ethiopia: A non-parametric approach. Journal of African Economies, 16(1), pp. 1-27. |
[26]
. These contradictory findings suggest that the impact of crop diversity on the agricultural output of smallholders varies by region. Furthermore, a small sample size, restricted geographic scope, and cross-sectional data were the foundations of the majority of earlier research
| [60] | Sime Kidane, M., 2019. The nexus of crop and income diversification, commercialization and household welfare: empirical evidence from Ethiopia (Doctoral dissertation, University of KwaZulu-Natal). |
[60]
.
3.9. Empirical Evidence on Crop Diversification and Food and Nutrition Security
According to the studies, the contribution of crop diversification to increased food security and nutrition in poor households is showed mostly positive. The result of examination found out that 89 out of 208 agricultural diversification projects, such as home garden intensification with vegetables or tree crops, the inclusion of vegetables on rice bunds, the introduction of fish ponds in paddy fields, or dairy cows and trees on farms, implemented in 52 developing countries contributed to an increase of food production in a per hectare basis
| [60] | Sime Kidane, M., 2019. The nexus of crop and income diversification, commercialization and household welfare: empirical evidence from Ethiopia (Doctoral dissertation, University of KwaZulu-Natal). |
[60]
. For the successful projects, the impact of crop diversification on food production was very high, contributing, on average, to a 93% increase in food production per hectare. The authors assumed that food production and food security were directly related, and that the 89 diversification projects had a significant positive influence on food security. discovered that food diversity and crop diversification were positively correlated in Malawi. According to these authors, a 2% increase in the Household Dietary Diversity Score2 was linked to an increase of one unit in the average number of intercrops per maize farm, and a 1% increase in the Food Consumption Score was linked to an increase of one unit in the number of nonmaize crops grown on a farm.
Additionally,
| [43] | Makate, C., Wang, R., Makate, M. and Mango, N., 2016. Crop diversification and livelihoods of smallholder farmers in Zimbabwe: adaptive management for environmental change. SpringerPlus, 5, pp. 1-18. |
[43]
found that crop diversification significantly improved food security, cereal crop productivity, and Zimbabwe's nutrition indices (Food Consumption Score and Household Dietary Diversity Score). A finding by
| [60] | Sime Kidane, M., 2019. The nexus of crop and income diversification, commercialization and household welfare: empirical evidence from Ethiopia (Doctoral dissertation, University of KwaZulu-Natal). |
[60]
shows that adding more crops or animals did not significantly affect seasonal hunger and that an integrated agro-ecology-based approach was required. In Nicaragua, they confirmed the importance of mixing maize and beans, which Mesoamerican farmers have managed in their milpa production systems for thousands of years. Crop diversification patterns varied greatly within and between regions in Guatemala, according to evidence from a household survey that classified crop diversification patterns and food security "ex-post." Additionally, small farmers who switched from maize to potatoes were more likely to experience negative food insecurity and malnutrition than those who switched from maize to wheat and vegetables.
3.10. Constraints to the Adoption of CSA Practices
Inadequate law enforcement. One obstacle to the adoption of CSA, according to respondents, is inadequate law enforcement to maintain conservation areas during the adoption process. Respondents asserted that neither rules nor enforcement procedures support the use of CSA. Cattle grazers are encroaching on confined spaces, leaving planted trees vulnerable to harm from both humans and animals. Furthermore, there is no legal protection for other conservation methods. Conservation agriculture, in the form of CSA practices, is not sufficiently integrated with agricultural extension services and strategies, and laws have not been sufficiently enforced, despite the establishment of certain norms and regulations. Focus group discussions revealed obstacles that aligned with the opinions of key informants: the widespread implementation of CSA and the absence of explicit legal directives to the community regarding conservation areas and constructed conservation infrastructure such as terraces, enclosed areas, and erosion checks.
In Ethiopia, NGOs and commercial sector organizations have used CSA techniques such integrated soil and watershed management and other conservation agriculture. For instance, an NGO manages the Safety Net Program, a significant step in soil and water conservation, with minimal government assistance
| [32] | Jirata, M., Grey, S. and Kilawe, E., 2016. Ethiopia climate-smart agriculture scoping study. |
[32]
. However, strict laws and regulations have not backed the efforts of farmers, other private sectors, and non-governmental organizations. For CSA practices to be widely adopted, the government must provide sufficient assistance and follow-up to guarantee sustainability.
Lack of reliable climate information and incentives. One important factor in the target community's acceptance of CSA technology is information access. When farmers are given clear and accurate information about the technologies that are available and the potential implications of climate change in their area, they are more likely to use them. In order for farmers to adopt low-risk agricultural practices like planting drought-tolerant, early-maturity crops and modifying planting times based on available rainfall patterns, as well as to put existing soil and water conservation techniques and technology into practice, they need sufficient information about future climate conditions from a reliable source
| [24] | Feleke, H. G., 2015. Assessing weather forecasting needs of smallholder farmers for climate change adaptation in the Central Rift Valley of Ethiopia. Journal of Earth Science and Climate Change, 6(10), pp. 1-8. |
[24]
. Furthermore, the research area's information sources are restricted to weather forecasting and extension services. The networks of weather stations, packaging, and distribution methods for users must therefore be expanded. For instance, all farmers and farming communities could have information at their fingertips if satellites and smartphones are used more frequently
| [66] | Wassie, A. and Pauline, N., 2018. Evaluating smallholder farmers' preferences for climate smart agricultural practices in Tehuledere District, northeastern Ethiopia. Singapore Journal of Tropical Geography, 39(2), pp. 300-316. |
[66]
.