Pub Date : 2021-07-28DOI: 10.11648/J.IJAE.20210604.13
Tesfu Nega, Demto Mamo
The study was conducted in three districts of east Guji zone to analyze honey value chain. Guji zone has the external favorable environmental conditions that are in favor of honey production and marketing. However, current knowledge on honey product value chain is lacking. A total of 120 households were interviewed by using semi-structured questionnaire, key informant interview using checklists were primary data collection methods. The data were collected from 11 traders and 14 honey consumers by using interviewed. The collected data was analyzed by using SPSS. The major honey value chain actors in the study area was identified input suppliers, producers, local collectors, cooperatives, wholesalers, retailers, processors and final consumers of the product. The study result showed that honey producers was constrained by Pests and Predators, absconding, lack of Bee forage, agro-chemical application, lack of beekeeping equipments, lack of institutional linkage, marketing constraints and lack of modern input supply and traditional hives bought to high price from local market. While governmental and non-governmental- organizations are identified honey value chain supporters in the study areas. Four market channels were identified. From identified honey marketing channels (producers - collectors – cooperatives – processors - consumer) are the major share of honey goes to marketing through channel II. The study suggests that beekeeping and districts agricultural development agents through provision of appropriate training and formation of beekeeper unions and cooperatives to address problems and strengthening linkage/interaction among honey value chain actors, and supportive institutions.
{"title":"Honey Value Chain Analysis in East Guji Zone, Southern Oromia Regional State, Ethiopia","authors":"Tesfu Nega, Demto Mamo","doi":"10.11648/J.IJAE.20210604.13","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210604.13","url":null,"abstract":"The study was conducted in three districts of east Guji zone to analyze honey value chain. Guji zone has the external favorable environmental conditions that are in favor of honey production and marketing. However, current knowledge on honey product value chain is lacking. A total of 120 households were interviewed by using semi-structured questionnaire, key informant interview using checklists were primary data collection methods. The data were collected from 11 traders and 14 honey consumers by using interviewed. The collected data was analyzed by using SPSS. The major honey value chain actors in the study area was identified input suppliers, producers, local collectors, cooperatives, wholesalers, retailers, processors and final consumers of the product. The study result showed that honey producers was constrained by Pests and Predators, absconding, lack of Bee forage, agro-chemical application, lack of beekeeping equipments, lack of institutional linkage, marketing constraints and lack of modern input supply and traditional hives bought to high price from local market. While governmental and non-governmental- organizations are identified honey value chain supporters in the study areas. Four market channels were identified. From identified honey marketing channels (producers - collectors – cooperatives – processors - consumer) are the major share of honey goes to marketing through channel II. The study suggests that beekeeping and districts agricultural development agents through provision of appropriate training and formation of beekeeper unions and cooperatives to address problems and strengthening linkage/interaction among honey value chain actors, and supportive institutions.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88681293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-06DOI: 10.11648/J.IJAE.20210604.11
Nkurunziza Alexis, Mburu David Mwehia, Mulyungi Patrick, Ntabakirabose Gaspard
Smallholder-based agriculture is the main source of livelihood, especially in the rural areas, where most of the population live. Coffee is one of the most important cash crops across the world and a major source of export earnings. The adoption on awareness of farmers about organic farming is one of the best preferable measures to improve both high quality and quantity of coffee production. The general objective of this study is to analyze socio-economic factors influencing farmers’ adoption of coffee organic farming in Gakenke district of Rwanda. This study employed a cross-sectional survey design and a multi-stage sampling technique was adopted to select sample for this study. Hence, the total sample size for this study was 182 respondents. Descriptive statistics such as frequency and percentage was used to analyze the first and second objectives. While inferential statistics (logit regression) was used to analyze objective three. The overall objective of the study to analyze socio-economic factors influencing farmers ‘adoption of coffee organic farming in Gakenke district of Rwanda. In this study, the majority 60.4% of the respondents were male. Result shows that farmers had high level of awareness in Recycle wastes of plant and animal (100%). The most commonly and highly adopted practices was crop rotation of intercropped crops such as bush beans, tomatoes, pineapple and vegetables in general. The result of logit regression analysis in Table 4 shows that four factors such as education level, land size, farming experience and gender had positive and significant influence on adoption of organic coffee farming. It was therefore recommended that youth should be encouraged and supported to enter this sector because they are in their active age and are more adopter of innovation than old people who are more conservators. Provision of training and technical advice on organic farming practices through agricultural extension services and developing information networks among farmers is vital.
{"title":"Analysis of Socio-Economic Factors Influencing Farmers’ Adoption of Coffee Organic Farming in Gakenke District of Rwanda","authors":"Nkurunziza Alexis, Mburu David Mwehia, Mulyungi Patrick, Ntabakirabose Gaspard","doi":"10.11648/J.IJAE.20210604.11","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210604.11","url":null,"abstract":"Smallholder-based agriculture is the main source of livelihood, especially in the rural areas, where most of the population live. Coffee is one of the most important cash crops across the world and a major source of export earnings. The adoption on awareness of farmers about organic farming is one of the best preferable measures to improve both high quality and quantity of coffee production. The general objective of this study is to analyze socio-economic factors influencing farmers’ adoption of coffee organic farming in Gakenke district of Rwanda. This study employed a cross-sectional survey design and a multi-stage sampling technique was adopted to select sample for this study. Hence, the total sample size for this study was 182 respondents. Descriptive statistics such as frequency and percentage was used to analyze the first and second objectives. While inferential statistics (logit regression) was used to analyze objective three. The overall objective of the study to analyze socio-economic factors influencing farmers ‘adoption of coffee organic farming in Gakenke district of Rwanda. In this study, the majority 60.4% of the respondents were male. Result shows that farmers had high level of awareness in Recycle wastes of plant and animal (100%). The most commonly and highly adopted practices was crop rotation of intercropped crops such as bush beans, tomatoes, pineapple and vegetables in general. The result of logit regression analysis in Table 4 shows that four factors such as education level, land size, farming experience and gender had positive and significant influence on adoption of organic coffee farming. It was therefore recommended that youth should be encouraged and supported to enter this sector because they are in their active age and are more adopter of innovation than old people who are more conservators. Provision of training and technical advice on organic farming practices through agricultural extension services and developing information networks among farmers is vital.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90899774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-29DOI: 10.11648/j.ijae.20210603.16
J. Ekwangu, J. Tenywa, J. Bisikwa, C. Andiku, Helen Opie, P. Anguria, Monday Moses Paga, Deborah Lillian Nambirye, M. Ugen, N. Wanyera
Despite the recommendation for fertilizer use in crop production by research, there is a low rate of adoption among farmers. The low adoption rate of fertilizer usage has been partly attributed to high costs of fertilizer in addition to use of agronomic recommendation without fertilizer economic analysis. The study therefore, set out to determine the profitability of fertilizer micro dosing and weeding regimes in finger millet production in eastern Uganda. A randomized complete block design in split plot treatment arrangement with three replications was used. Weeding regime treatments were the main plot and fertilizer micro dosing treatments as the sub plots. The treatments included: different micro dosing rates of nitrogen and phosphorus, weeding regimes and SEREMI II finger millet variety. Nitrogen was applied in the form of urea (46%), in two splits of 50% each at vegetative and flowering stages respectively. The results of the study indicate that weeding once at 20 Days After Sowing (DAS) and a combination of N and P (16.6 kg N ha-1 and 10.6 kg P ha-1) fertilizer micro dose application is the most profitable combination and could make farmers earn up to Uganda shillings 1,984.220 per hectare compared to only Uganda shillings 373,000 from none application of fertilizer. We therefore conclude that finger millet producers can achieve higher economic and environmental gains when weeding is done once at 20 DAS in combination with sole P fertilizer micro dosing applied at 10.6 kg P ha-1.
尽管研究建议在作物生产中使用化肥，但农民的采用率很低。化肥使用率低的部分原因是化肥成本高，以及使用农艺建议而不进行肥料经济分析。因此，这项研究旨在确定乌干达东部小谷子生产中微量施肥和除草制度的盈利能力。采用随机完全区组设计，分区处理安排，3个重复。以除草制度处理为主小区，微肥处理为辅小区。处理包括:不同氮磷微量施用量、除草制度和SEREMI II型小谷子品种。氮肥以尿素的形式施用(46%)，在营养期和开花期分两次施用，每次施用50%。研究结果表明，播后20天除草一次和氮磷肥组合(16.6 kg N hm -1和10.6 kg P hm -1)微剂量施用是最有利可图的组合，可使农民每公顷赚取高达1984.220乌干达先令，而不施用化肥仅为37.3万乌干达先令。因此，我们得出结论，当每20 DAS除草一次，同时施用10.6 kg磷肥时，手指粟生产者可以获得更高的经济和环境效益。
{"title":"The Profitability of Fertilizer Micro Dosing and Timing of Weeding in Finger Millet Production in the Semi-Arid Areas of Uganda","authors":"J. Ekwangu, J. Tenywa, J. Bisikwa, C. Andiku, Helen Opie, P. Anguria, Monday Moses Paga, Deborah Lillian Nambirye, M. Ugen, N. Wanyera","doi":"10.11648/j.ijae.20210603.16","DOIUrl":"https://doi.org/10.11648/j.ijae.20210603.16","url":null,"abstract":"Despite the recommendation for fertilizer use in crop production by research, there is a low rate of adoption among farmers. The low adoption rate of fertilizer usage has been partly attributed to high costs of fertilizer in addition to use of agronomic recommendation without fertilizer economic analysis. The study therefore, set out to determine the profitability of fertilizer micro dosing and weeding regimes in finger millet production in eastern Uganda. A randomized complete block design in split plot treatment arrangement with three replications was used. Weeding regime treatments were the main plot and fertilizer micro dosing treatments as the sub plots. The treatments included: different micro dosing rates of nitrogen and phosphorus, weeding regimes and SEREMI II finger millet variety. Nitrogen was applied in the form of urea (46%), in two splits of 50% each at vegetative and flowering stages respectively. The results of the study indicate that weeding once at 20 Days After Sowing (DAS) and a combination of N and P (16.6 kg N ha-1 and 10.6 kg P ha-1) fertilizer micro dose application is the most profitable combination and could make farmers earn up to Uganda shillings 1,984.220 per hectare compared to only Uganda shillings 373,000 from none application of fertilizer. We therefore conclude that finger millet producers can achieve higher economic and environmental gains when weeding is done once at 20 DAS in combination with sole P fertilizer micro dosing applied at 10.6 kg P ha-1.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86860583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-16DOI: 10.11648/j.ijae.20210603.13
S. Abera, Abebaw Assaye
Cultivation of rice in Ethiopia is a recent phenomenon and the crop provides advantages to rice farmers in regarding productivity basis compared to other cereal crops and contribute a lot towards ensuring food security in the country. With the advantage related to the higher productivity, the ever-increasing of domestic demand as a result of urbanization and population growth, rice production under smallholder farmers is expanding very fast. The study was designed to determine the cost of production and profitability of rice under smallholder farmers in the rain fed upland production ecosystem. Descriptive statistics and enterprise budget were used to analyze data collected from selected farmers. Descriptive analysis result reveals labor cost was the main cost item in rice production which took about 74% of the total variable cost, of which weeding cost took about 37%. The enterprise budget analysis reveals sampled farmers obtained gross margin of ETB 12,084.46 per hectare from rain fed upland rice production with benefit cost ratio of 1.44 and break even price and yield of 6.45 ETB per kg and 2157 kilogram per hectare, respectively and the gross margin was more sensitive for price and yield fluctuations. Thus, upland rice production is a profitable enterprise. Moreover, in order to make the enterprise more attractive, it is important to promote productivity-improving and labor-saving modern technologies and strengthen the market information delivery system and collective action by farmers.
在埃塞俄比亚种植水稻是最近才出现的现象，与其他谷类作物相比，这种作物在生产力基础上为稻农提供了优势，并为确保该国的粮食安全做出了很大贡献。凭借生产力的提高、城市化和人口增长带来的国内需求的不断增加等优势，小农水稻生产规模迅速扩大。该研究旨在确定雨养旱地生产生态系统中小农种植水稻的生产成本和盈利能力。使用描述性统计和企业预算来分析从选定的农民中收集的数据。描述性分析结果表明，人工成本是水稻生产的主要成本项目，约占总可变成本的74%，其中除草成本约占37%。企业预算分析显示，样本农户雨养旱稻生产毛利率为120844.46 ETB /公顷，效益成本比为1.44，盈亏平衡价格和单产分别为6.45 ETB / kg和2157 kg /公顷，毛利率对价格和单产波动更为敏感。因此，旱稻生产是一个有利可图的企业。此外，为了提高企业的吸引力，必须推广提高生产率和节省劳动力的现代技术，加强市场信息传递系统和农民的集体行动。
{"title":"Profitability Analysis of Rain Fed Upland Rice Production Under Smallholder Farmers in Libokemkem District, North Western Ethiopia","authors":"S. Abera, Abebaw Assaye","doi":"10.11648/j.ijae.20210603.13","DOIUrl":"https://doi.org/10.11648/j.ijae.20210603.13","url":null,"abstract":"Cultivation of rice in Ethiopia is a recent phenomenon and the crop provides advantages to rice farmers in regarding productivity basis compared to other cereal crops and contribute a lot towards ensuring food security in the country. With the advantage related to the higher productivity, the ever-increasing of domestic demand as a result of urbanization and population growth, rice production under smallholder farmers is expanding very fast. The study was designed to determine the cost of production and profitability of rice under smallholder farmers in the rain fed upland production ecosystem. Descriptive statistics and enterprise budget were used to analyze data collected from selected farmers. Descriptive analysis result reveals labor cost was the main cost item in rice production which took about 74% of the total variable cost, of which weeding cost took about 37%. The enterprise budget analysis reveals sampled farmers obtained gross margin of ETB 12,084.46 per hectare from rain fed upland rice production with benefit cost ratio of 1.44 and break even price and yield of 6.45 ETB per kg and 2157 kilogram per hectare, respectively and the gross margin was more sensitive for price and yield fluctuations. Thus, upland rice production is a profitable enterprise. Moreover, in order to make the enterprise more attractive, it is important to promote productivity-improving and labor-saving modern technologies and strengthen the market information delivery system and collective action by farmers.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74567827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-16DOI: 10.11648/j.ijae.20210603.14
Tesfaye Mediksa, D. Bekele, Habtamu Aberra, Tesfaye Marsha
The experiment was conducted at Bako agricultural research center to evaluate the effect of EM2 and urea treated finger millet straw supplemented with concentrate mix on feed intake, milk yield and composition of crossbred dairy cows. Four cows of same milk yield, body weight, stage of lactation, but differing parities were arranged in 4x4 Latin square design. The animals were provided with natural grass hay (T1), untreated finger millet straw (T2), EM2 treated finger millet straw (T3) and urea treated finger millet straw (T4) diet ad libitum and all treatments were supplemented with concentrate mix. Results of chemical analysis of the treated finger millet straw showed that the treated straw had good nutritive value. The daily dry matter (DM) and crude protein (CP) intakes were significantly (P<0.001) different among the treatments with the highest intake observed for cows fed EM2 and urea treated finger millet straw (T3 and T4). Milk yields varied significantly among the dietary treatments with the lower mean milk yield recorded for cows in T1 and T2 as compared to those in T3 and T4. This study indicated that EM2 and urea treated finger millet straw diet increased the net return. Feeding EM2 and urea treated finger millet straw with concentrate mix was found to be an effective approach to maximize the utilization of locally available feed resources for relatively high animal productivity during the dry season for small scale dairy keepers in rural areas. Therefore, the result demonstrated that EM2 and urea treated finger millet straw had better feeding value as compared to untreated finger millet straw and natural grass hay for lactating crossbred dairy cows.
{"title":"Comparative Evaluation of Urea and Effective Microbes Treated Finger Millet Straw on Feed Intake, Milk Yield and Composition of Lactating Crossbred Dairy Cows at BARC","authors":"Tesfaye Mediksa, D. Bekele, Habtamu Aberra, Tesfaye Marsha","doi":"10.11648/j.ijae.20210603.14","DOIUrl":"https://doi.org/10.11648/j.ijae.20210603.14","url":null,"abstract":"The experiment was conducted at Bako agricultural research center to evaluate the effect of EM2 and urea treated finger millet straw supplemented with concentrate mix on feed intake, milk yield and composition of crossbred dairy cows. Four cows of same milk yield, body weight, stage of lactation, but differing parities were arranged in 4x4 Latin square design. The animals were provided with natural grass hay (T1), untreated finger millet straw (T2), EM2 treated finger millet straw (T3) and urea treated finger millet straw (T4) diet ad libitum and all treatments were supplemented with concentrate mix. Results of chemical analysis of the treated finger millet straw showed that the treated straw had good nutritive value. The daily dry matter (DM) and crude protein (CP) intakes were significantly (P<0.001) different among the treatments with the highest intake observed for cows fed EM2 and urea treated finger millet straw (T3 and T4). Milk yields varied significantly among the dietary treatments with the lower mean milk yield recorded for cows in T1 and T2 as compared to those in T3 and T4. This study indicated that EM2 and urea treated finger millet straw diet increased the net return. Feeding EM2 and urea treated finger millet straw with concentrate mix was found to be an effective approach to maximize the utilization of locally available feed resources for relatively high animal productivity during the dry season for small scale dairy keepers in rural areas. Therefore, the result demonstrated that EM2 and urea treated finger millet straw had better feeding value as compared to untreated finger millet straw and natural grass hay for lactating crossbred dairy cows.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"57 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83392456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-31DOI: 10.11648/J.IJAE.20210603.12
Rahim Alimohammadi Nafchi
The supply of food security of the society requires the stability of the water resources, that’s requiring the management of optimal water consumption. For this purpose, a research project was conducted to evaluate the efficiency and improvement of optimal water consumption in the gardens of Chaharmahal and Bakhtiari Province. After identifying micro-irrigation plans in the province, 16 plans were selected randomly in different climates and levels. The evaluation indexes were selected based on the instruction of the U.S. Soil Conservation Service (SCS) and American Society of Civil Engineers (ASCE). Parameters of the absolute emission uniformity (EU), the statistical uniformity of Coefficient (Us), efficiency reduction factor (ERF), and flow rate coefficient of variations were obtained. The results indicated that 43.7 percent of the projects being studied had a very good statistical emission uniformity and 31.3 percent showed a Poor and average statistical emission uniformity and 25 percent of the projects had an unacceptable statistical emission uniformity. The flow rate non-uniformity of the droppers and the resulting low coefficients indicated the manipulation of the droppers. The average ERF is 0.717 in the selected projects, which is due to the non-supply of the pressure required in the irrigation systems. The dependence of the Farmers and agricultural operators on government’s aids is one of the main challenges and obstacles of the growth of agriculture and stable productivity in the region.
{"title":"Evaluation of the Efficiency of the Micro-irrigation Systems in Gardens of Chaharmahal and Bakhtiari Province of Iran","authors":"Rahim Alimohammadi Nafchi","doi":"10.11648/J.IJAE.20210603.12","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210603.12","url":null,"abstract":"The supply of food security of the society requires the stability of the water resources, that’s requiring the management of optimal water consumption. For this purpose, a research project was conducted to evaluate the efficiency and improvement of optimal water consumption in the gardens of Chaharmahal and Bakhtiari Province. After identifying micro-irrigation plans in the province, 16 plans were selected randomly in different climates and levels. The evaluation indexes were selected based on the instruction of the U.S. Soil Conservation Service (SCS) and American Society of Civil Engineers (ASCE). Parameters of the absolute emission uniformity (EU), the statistical uniformity of Coefficient (Us), efficiency reduction factor (ERF), and flow rate coefficient of variations were obtained. The results indicated that 43.7 percent of the projects being studied had a very good statistical emission uniformity and 31.3 percent showed a Poor and average statistical emission uniformity and 25 percent of the projects had an unacceptable statistical emission uniformity. The flow rate non-uniformity of the droppers and the resulting low coefficients indicated the manipulation of the droppers. The average ERF is 0.717 in the selected projects, which is due to the non-supply of the pressure required in the irrigation systems. The dependence of the Farmers and agricultural operators on government’s aids is one of the main challenges and obstacles of the growth of agriculture and stable productivity in the region.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"475 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78519821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-21DOI: 10.11648/J.IJAE.20210603.11
J. Akowuah, A. Bart-Plange, K. Dzisi
Drawbacks associated with natural convection solar dryers are encouraging the development of low-capacity hybrid drying systems which integrate renewable energy in their operation. However, information on the cost-effectiveness of such drying systems for decision-making by investors is lacking. This study seeks to assess the financial and economic feasibility of a solar-biomass hybrid dryer for maize drying. A cost-benefit analysis was done using net present value (NPV), benefit-cost ratio (BCR), and internal rate of return (IRR) as well as payback period to measure the financial viability of the dryer operation and the profitability of the investment. The results show that the total capital expenditure required to establish the drying system is $ 5,263 with a running cost of $ 1,166 per year. Using an economic utilisation period of 10 years, the investment in the dryer was determined to be viable with an NPV of $ 4,876 and an IRR of 38% at a capital cost of 24%. At a drying charge of $2.11/bag, the results show the initial capital invested can be recouped in a PBP of 2.7 years at a BCR of 1.48. These financial indicators suggest that investment in the dryer is profitable. Further analysis shows that, at a projected 30, 266.80 tonnes of maize produce per season by smallholder maize farmers in the study area, about 210 of the hybrid dryers are needed to provide drying services to the farmers. This translates into about 420 direct job opportunities created for the youth and the potential to prevent economic loss of maize grains equivalent to $ 5,684.2 per year due to post-harvest losses of maize in the study area. The adoption and scale-up of the dryer have implications in addressing maize post-harvest loss at the smallholder level and job creation for the youth in the country.
{"title":"Financial and Economic Analysis of a 1-Tonne Capacity Mobile Solar-Biomass Hybrid Dryer for Maize Drying","authors":"J. Akowuah, A. Bart-Plange, K. Dzisi","doi":"10.11648/J.IJAE.20210603.11","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210603.11","url":null,"abstract":"Drawbacks associated with natural convection solar dryers are encouraging the development of low-capacity hybrid drying systems which integrate renewable energy in their operation. However, information on the cost-effectiveness of such drying systems for decision-making by investors is lacking. This study seeks to assess the financial and economic feasibility of a solar-biomass hybrid dryer for maize drying. A cost-benefit analysis was done using net present value (NPV), benefit-cost ratio (BCR), and internal rate of return (IRR) as well as payback period to measure the financial viability of the dryer operation and the profitability of the investment. The results show that the total capital expenditure required to establish the drying system is $ 5,263 with a running cost of $ 1,166 per year. Using an economic utilisation period of 10 years, the investment in the dryer was determined to be viable with an NPV of $ 4,876 and an IRR of 38% at a capital cost of 24%. At a drying charge of $2.11/bag, the results show the initial capital invested can be recouped in a PBP of 2.7 years at a BCR of 1.48. These financial indicators suggest that investment in the dryer is profitable. Further analysis shows that, at a projected 30, 266.80 tonnes of maize produce per season by smallholder maize farmers in the study area, about 210 of the hybrid dryers are needed to provide drying services to the farmers. This translates into about 420 direct job opportunities created for the youth and the potential to prevent economic loss of maize grains equivalent to $ 5,684.2 per year due to post-harvest losses of maize in the study area. The adoption and scale-up of the dryer have implications in addressing maize post-harvest loss at the smallholder level and job creation for the youth in the country.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80094097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-17DOI: 10.11648/J.IJAE.20210602.12
Akinyemi Mudashiru, Adeola Segun Solomon, Hassan Christiana Onyohu, Balogun Stanley Olusegun, Ekpa Daniel, Adaraniwon Bolaji Samuel, Hassan Muili Tunde
Farming techniques in sub-Saharan African is not progressing at the same stride with advancement of modern agriculture practice. The resultant effects are obscenest and foulest recital in agricultural productivity which culminate in food insecurity, impoverishment and deprived national economy. This study examined climate smart agricultural practices among maize farmers in Funtua agricultural development zone of Katsina State. Primary data was collected with the aid of structured and pre-tested questionnaire administered to One hundred and sixty respondents using multi-stage sampling technique. Questionnaire administration was done by the researchers abetted by trained enumerators. Data collected from respondents was analyzed using both descriptive and inferential statistics. Socio-economic diagnosis shows that the mean age of the respondents was 48 years. This suggests that majority of the maize CSAP practioners in the study area are in their youthful age and mainly (53%) are fully involved in maize farming with majority (75%) having more than 11 years maize farming experience. This implies that most of the maize farmers are energetic, this can translate to better performance in maize farming activities. The majority of the farmers (68%) are educated. This would further enhanced in espousal of CSAP technology. The study further revealed that the most CSAP techniques in the study area is minimum tillage and mixed farming as used by 90% of the respondents, while about 85% of the maize farmers interviewed practiced cover cropping. Inferential statistics reveals that coefficient of multiple determination R-squared value of 51.5%. Three out of seven exogenous variables were significant, these are Household size, farm size and education. Household size was negatively significant (P < 0.01). It implies that an increase in the size of the farming household would decrease the practice of CSAP in the study area. Education was positively significant (P<0.01). This connotes that advancement in farmers education will influence the practice of CSAP in the study area. Farm size was positively (P < 0.1). This implies that an increase in the farm size will stimulate the practice of CSAP among the maize farmers. The study concludes that there are ample evidences of CSAP activities among maize farmers in Funtua agricultural zone. The study recommends that bottleneck occasioned from non-availability of land for maize production should be tackled through government intervention. Knowledge update with respect to CSAP farming techniques should be championed by the farmers’ group and agricultural institutions. Household size should be regulated and synchronized with focus on agricultural productivity.
{"title":"Analysis of Climate Smart Agricultural Practices Among Maize Farmers in Funtua Agricultural Development Zone of Katsina State, Nigeria","authors":"Akinyemi Mudashiru, Adeola Segun Solomon, Hassan Christiana Onyohu, Balogun Stanley Olusegun, Ekpa Daniel, Adaraniwon Bolaji Samuel, Hassan Muili Tunde","doi":"10.11648/J.IJAE.20210602.12","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210602.12","url":null,"abstract":"Farming techniques in sub-Saharan African is not progressing at the same stride with advancement of modern agriculture practice. The resultant effects are obscenest and foulest recital in agricultural productivity which culminate in food insecurity, impoverishment and deprived national economy. This study examined climate smart agricultural practices among maize farmers in Funtua agricultural development zone of Katsina State. Primary data was collected with the aid of structured and pre-tested questionnaire administered to One hundred and sixty respondents using multi-stage sampling technique. Questionnaire administration was done by the researchers abetted by trained enumerators. Data collected from respondents was analyzed using both descriptive and inferential statistics. Socio-economic diagnosis shows that the mean age of the respondents was 48 years. This suggests that majority of the maize CSAP practioners in the study area are in their youthful age and mainly (53%) are fully involved in maize farming with majority (75%) having more than 11 years maize farming experience. This implies that most of the maize farmers are energetic, this can translate to better performance in maize farming activities. The majority of the farmers (68%) are educated. This would further enhanced in espousal of CSAP technology. The study further revealed that the most CSAP techniques in the study area is minimum tillage and mixed farming as used by 90% of the respondents, while about 85% of the maize farmers interviewed practiced cover cropping. Inferential statistics reveals that coefficient of multiple determination R-squared value of 51.5%. Three out of seven exogenous variables were significant, these are Household size, farm size and education. Household size was negatively significant (P < 0.01). It implies that an increase in the size of the farming household would decrease the practice of CSAP in the study area. Education was positively significant (P<0.01). This connotes that advancement in farmers education will influence the practice of CSAP in the study area. Farm size was positively (P < 0.1). This implies that an increase in the farm size will stimulate the practice of CSAP among the maize farmers. The study concludes that there are ample evidences of CSAP activities among maize farmers in Funtua agricultural zone. The study recommends that bottleneck occasioned from non-availability of land for maize production should be tackled through government intervention. Knowledge update with respect to CSAP farming techniques should be championed by the farmers’ group and agricultural institutions. Household size should be regulated and synchronized with focus on agricultural productivity.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79013658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The motivations of the consumer when he or she is buying food online remain unknown. This is one of the first research to review the general motivations that the consumer presents when making the decision to purchase food using electronic commerce as a purchase channel. A virtual food shopping experiment was conducted for 30 weeks and 223 responses were obtained from shoppers with different demographic characteristics. Motivations were modelled using Stimulus-Organism-Response (SOR) framework and solved by structural equations (SEM) in total, it was possible to obtain significant responses for 14 effects. Results indicate that convenience associated with ease of use and hedonic motivations are the motivations with the greatest influence on the consumers’ purchasing response. It was possible to determine, among other things, that variables such as socioeconomic status do not strongly influence the response in the virtual purchase of food.
{"title":"Buying Food Online: What Explains The Consumer Purchase Behaviour?","authors":"A. Monge","doi":"10.22004/AG.ECON.309387","DOIUrl":"https://doi.org/10.22004/AG.ECON.309387","url":null,"abstract":"The motivations of the consumer when he or she is buying food online remain unknown. This is one of the first research to review the general motivations that the consumer presents when making the decision to purchase food using electronic commerce as a purchase channel. A virtual food shopping experiment was conducted for 30 weeks and 223 responses were obtained from shoppers with different demographic characteristics. Motivations were modelled using Stimulus-Organism-Response (SOR) framework and solved by structural equations (SEM) in total, it was possible to obtain significant responses for 14 effects. Results indicate that convenience associated with ease of use and hedonic motivations are the motivations with the greatest influence on the consumers’ purchasing response. It was possible to determine, among other things, that variables such as socioeconomic status do not strongly influence the response in the virtual purchase of food.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"9 1","pages":"73-88"},"PeriodicalIF":0.0,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48871051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-15DOI: 10.11648/J.IJAE.20210602.11
A. H. Tefera, Demeke Tamene Mitiku
This study was aimed to compare estimation methods of crop water requirement and irrigation scheduling for major crops using different models and compare the significance of models for adoption in different situations of the Metekel zone. Crop water requirement and irrigation scheduling of maize in selected districts of Metekel zone were estimated using CropWat model based on soil, crop and meteorological data, and AquaCrop based on soil, crop and meteorological data including Co2, groundwater, field management, and fertility status. Model performance was evaluated using Normalized Root mean square errors (NRMSE), model by Nash-Sutcliffe efficiency (NSE), Prediction error (Pe), and Model efficiency (MF). It is observed that the maximum reference evapotranspiration in the study area was found to be 7.1 mm/day in Guba and the minimum reference evapotranspiration was 2.9 mm/day in Bullen district. In all cases, the maximum ETo in all districts was fund to in March and the lowest in August. The maximum ETc of maize was found to be 702.4mm in Guba district and the minimum ETc was found to be 572.6mm in Bullen district using CropWat but the effective rainfall (Pe) for maize was determined as 185mm respectively in Wembera district. However, using the AquaCrop model the maximum ETc of 565 mm was recorded in Guba but 425 mm was recorded as a minimum in the Wembera district for irrigated maize in the study area. The study revealed that the irrigation scheduling with a fixed interval criterion for maize 10 days with 12 irrigation events has been determined. Moreover, furrow irrigation with 60% irrigation application efficiency was adjusted during irrigation water applications for all districts. The performance of the irrigation schedule and crop response was evaluated by the analysis results in the simulation using different models. It has been observed that there were a strong relationship and a significant relation between the simulated and observed values for validation. Hence, Normalized Root mean square errors (NRMSE), model by Nash-Sutcliffe efficiency (NSE), Prediction error (Pe), and Model efficiency (MF) showed that the AquaCrop model well simulated in all parameters considered. AquaCrop model is the most suitable soil-water-crop-environment management model, so future studies should suggest a focus on addressing deficit irrigation strategy with different field management conditions to improve agricultural water productivity under irrigated agriculture for the study area for major crops.
{"title":"Models Comparative Study for Estimating Crop Water Requirement and Irrigation Scheduling of Maize in Metekel Zone, Benishangul Gumuz Regional State, Ethiopia","authors":"A. H. Tefera, Demeke Tamene Mitiku","doi":"10.11648/J.IJAE.20210602.11","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210602.11","url":null,"abstract":"This study was aimed to compare estimation methods of crop water requirement and irrigation scheduling for major crops using different models and compare the significance of models for adoption in different situations of the Metekel zone. Crop water requirement and irrigation scheduling of maize in selected districts of Metekel zone were estimated using CropWat model based on soil, crop and meteorological data, and AquaCrop based on soil, crop and meteorological data including Co2, groundwater, field management, and fertility status. Model performance was evaluated using Normalized Root mean square errors (NRMSE), model by Nash-Sutcliffe efficiency (NSE), Prediction error (Pe), and Model efficiency (MF). It is observed that the maximum reference evapotranspiration in the study area was found to be 7.1 mm/day in Guba and the minimum reference evapotranspiration was 2.9 mm/day in Bullen district. In all cases, the maximum ETo in all districts was fund to in March and the lowest in August. The maximum ETc of maize was found to be 702.4mm in Guba district and the minimum ETc was found to be 572.6mm in Bullen district using CropWat but the effective rainfall (Pe) for maize was determined as 185mm respectively in Wembera district. However, using the AquaCrop model the maximum ETc of 565 mm was recorded in Guba but 425 mm was recorded as a minimum in the Wembera district for irrigated maize in the study area. The study revealed that the irrigation scheduling with a fixed interval criterion for maize 10 days with 12 irrigation events has been determined. Moreover, furrow irrigation with 60% irrigation application efficiency was adjusted during irrigation water applications for all districts. The performance of the irrigation schedule and crop response was evaluated by the analysis results in the simulation using different models. It has been observed that there were a strong relationship and a significant relation between the simulated and observed values for validation. Hence, Normalized Root mean square errors (NRMSE), model by Nash-Sutcliffe efficiency (NSE), Prediction error (Pe), and Model efficiency (MF) showed that the AquaCrop model well simulated in all parameters considered. AquaCrop model is the most suitable soil-water-crop-environment management model, so future studies should suggest a focus on addressing deficit irrigation strategy with different field management conditions to improve agricultural water productivity under irrigated agriculture for the study area for major crops.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91002764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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