Pub Date : 2021-05-10DOI: 10.9734/AJAEES/2021/V39I430561
M. Anusha, A. Mehta, A. Sharma, S. Mathur
Women play a major and crucial role in doing the agricultural operations. The women workers in Udaipur district mostly uses sickle and kudali for doing weeding operations. This study was conducted in 2019-20 at instructional Farm, CTAE, Udaipur with women farm workers during the manual weeding operation by using different traditional tools like hand hoe (kudali) along with technically and ergonomically designed wheel hand hoe. The main objective of the study was to investigate the most drudgery prone tool and to recommend the proper tool for doing weeding operations in maize crop. Use of proper tools not only reduce the drudgery but also improves the operating efficiency along with the comfort, besides improving the productivity of the women farm workers in doing the operation. In view of this, an effort has been made to assess the physical and physiological parameters of women farm workers who are using traditional farm tools along with the improved tools for doing weeding operation in maize crop. The whole study was conducted on ten female farm workers identified from the population of workers in the age group of 18 to 45 years. Original Research Article Anusha et al.; AJAEES, 39(4): 59-70, 2021; Article no.AJAEES.68492 60 During the experiment, physiological workload i.e., heart rate, oxygen consumption rate, energy expenditure rate and physical workload i.e., overall discomfort rate, rate of perceived exertion and Musculo-skeletal problems were measured. The Pratap wheel hand hoe saves nearly 36% of the cardiac cost of the worker per unit of output and wheel hand hoe saves nearly 38% of the cardiac cost of the worker per unit of output which is nothing but reduction in drudgery by 36% and 38% by both the weeding tools over kudali. Area covered with Pratap wheel hand hoe and wheel hand hoe were 1.70 and 1.69 times more over kudali.
妇女在农业生产中起着重要而关键的作用。乌代普尔地区的女工大多使用镰刀和kudali进行除草作业。该研究于2019- 2020年在乌代普尔CTAE的教学农场进行，在手工除草作业期间，女性农场工人使用不同的传统工具，如手锄(kudali)以及技术和人体工学设计的轮式手锄。该研究的主要目的是调查最费力的工具，并推荐在玉米作物中进行除草作业的适当工具。使用合适的工具不仅减少了劳动，而且提高了劳动效率和舒适度，还提高了农工妇女的劳动生产率。有鉴于此，已作出努力，对使用传统农具和改良农具进行玉米除草作业的农工妇女的生理参数进行评估。整个研究是对10名年龄在18至45岁之间的农场女工进行的。Anusha et al.;生物工程学报，39(4):59-70,2021;文章no.AJAEES。在实验过程中，测量了生理工作量，即心率、耗氧量、能量消耗率和身体工作量，即总体不适率、感觉劳累率和肌肉骨骼问题。Pratap手轮锄头每单位产量为工人节省了近36%的心脏成本，手轮锄头每单位产量为工人节省了近38%的心脏成本，与kudali相比，这两种除草工具分别减少了36%和38%的苦差事。Pratap轮式手锄和轮式手锄的覆盖面积分别是kudali的1.70和1.69倍。
{"title":"Ergonomic Evaluation of Women Farm Workers Using Different Manual Weeding Tools in Maize Crop of Udaipur District","authors":"M. Anusha, A. Mehta, A. Sharma, S. Mathur","doi":"10.9734/AJAEES/2021/V39I430561","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I430561","url":null,"abstract":"Women play a major and crucial role in doing the agricultural operations. The women workers in Udaipur district mostly uses sickle and kudali for doing weeding operations. This study was conducted in 2019-20 at instructional Farm, CTAE, Udaipur with women farm workers during the manual weeding operation by using different traditional tools like hand hoe (kudali) along with technically and ergonomically designed wheel hand hoe. The main objective of the study was to investigate the most drudgery prone tool and to recommend the proper tool for doing weeding operations in maize crop. Use of proper tools not only reduce the drudgery but also improves the operating efficiency along with the comfort, besides improving the productivity of the women farm workers in doing the operation. In view of this, an effort has been made to assess the physical and physiological parameters of women farm workers who are using traditional farm tools along with the improved tools for doing weeding operation in maize crop. The whole study was conducted on ten female farm workers identified from the population of workers in the age group of 18 to 45 years. Original Research Article Anusha et al.; AJAEES, 39(4): 59-70, 2021; Article no.AJAEES.68492 60 During the experiment, physiological workload i.e., heart rate, oxygen consumption rate, energy expenditure rate and physical workload i.e., overall discomfort rate, rate of perceived exertion and Musculo-skeletal problems were measured. The Pratap wheel hand hoe saves nearly 36% of the cardiac cost of the worker per unit of output and wheel hand hoe saves nearly 38% of the cardiac cost of the worker per unit of output which is nothing but reduction in drudgery by 36% and 38% by both the weeding tools over kudali. Area covered with Pratap wheel hand hoe and wheel hand hoe were 1.70 and 1.69 times more over kudali.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127769132","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 : 2021-05-07DOI: 10.9734/AJAEES/2021/V39I430559
M. Udhayakumar, K. Karunakaran, M. Thilagavathi, K. Ashok
The present study was designed to evaluate the state wise Basmati and non-Basmati rice production performance in India. The study is based on the time series data on area production and yield which were compiled from various sources for a period of 39 years (1980-81 to 2018-19). The sate wise analysis considers for the major basmati and non-basmati production sates by merging the newly divide states to parents’ sates like Telangana to AP etc. While considering overall period in basmati area (6.01%) production (10.55%) and yield (4.28%) shows positive growth rate with 1 per cent level of significance. Allover India shows positive growth rate like area (0.24%), production (1.95%) and Productivity (1.70%) with 1 per cent level of significance. For India, in overall period it is more stable as Area (2.89), Production (6.07) and yield (4.5) give low instability percent. Special attention program is need to enhance the production of rice in Assam and Orissa were two states are in lowest category in terms of productivity, so effects may be taken to increase the productivity in Assam and further increase from medium to high productivity states in case of Andhra Pradesh.
{"title":"State-wise Production Performance of Basmati and Non-Basmati Rice in India","authors":"M. Udhayakumar, K. Karunakaran, M. Thilagavathi, K. Ashok","doi":"10.9734/AJAEES/2021/V39I430559","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I430559","url":null,"abstract":"The present study was designed to evaluate the state wise Basmati and non-Basmati rice production performance in India. The study is based on the time series data on area production and yield which were compiled from various sources for a period of 39 years (1980-81 to 2018-19). The sate wise analysis considers for the major basmati and non-basmati production sates by merging the newly divide states to parents’ sates like Telangana to AP etc. While considering overall period in basmati area (6.01%) production (10.55%) and yield (4.28%) shows positive growth rate with 1 per cent level of significance. Allover India shows positive growth rate like area (0.24%), production (1.95%) and Productivity (1.70%) with 1 per cent level of significance. For India, in overall period it is more stable as Area (2.89), Production (6.07) and yield (4.5) give low instability percent. Special attention program is need to enhance the production of rice in Assam and Orissa were two states are in lowest category in terms of productivity, so effects may be taken to increase the productivity in Assam and further increase from medium to high productivity states in case of Andhra Pradesh.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124693927","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 : 2021-05-04DOI: 10.9734/AJAEES/2021/V39I430558
A. Rathva, L. Sorathiya, D. Gadhvi
Cost benefit analysis in 20 each urban and periurban dairy farms nearby Navsari city of Gujarat, India were studied. The required information from selected farms was collected through personal interview. The collected and derived data were subject to statistics as per standard technique in Statistical Package for Social Sciences (SPSS) software. Total fixed cost in urban and peri urban area was Rs. 2.27±0.36 and 2.05±0.33 lakh, respectively. Among total cost, fixed cost was 11.42%, further; it was nonsignificant among urban and peri-urban farms. Total variable cost was looked higher in urban farms i.e. Rs.18.97±2.47 and 14.50±2.33 in urban and periurban farms, respectively, however, it was nonsignificant between two areas. The proportion of variable cost was major (88.58%) among total cost. Among total cost feed-fodder cost was highest i.e. 70.10% followed by labour cost i.e. 17.13%. Gross total income was found higher in urban farms but it was nonsignificant between two regions. Pooled gross total income was Rs. 23.05 lakh. Average total income from sale of milk was Rs. 21.70 lakh (92.72%). Sale of animals (4.31%) and sale of dung (2.98%) was also having some contribution in return. The average net profit in urban farms was Original Research Article Rathva et al.; AJAEES, 39(4): 9-16, 2021; Article no.AJAEES.68034 10 found nonsignificant higher i.e. Rs. 5.52 and 3.48 lakh, in urban and peri urban farms, respectively. When farms was compared based on net return per adult unit the urban farms was significantly more profitable (US$ 172 v/s 136). The net profit per litre of milk was Rs. 9.20 and 6.80 in urban and periurban farms, respectively. The overall benefit cost ratio was found 1:1.20. It was also higher in urban area. Thus, it can be concluded that urban and periurban dairy farms are profitable and viable enterprise.
{"title":"Examining Profitability and Viability of Urban and Peri-Urban Dairy Farms","authors":"A. Rathva, L. Sorathiya, D. Gadhvi","doi":"10.9734/AJAEES/2021/V39I430558","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I430558","url":null,"abstract":"Cost benefit analysis in 20 each urban and periurban dairy farms nearby Navsari city of Gujarat, India were studied. The required information from selected farms was collected through personal interview. The collected and derived data were subject to statistics as per standard technique in Statistical Package for Social Sciences (SPSS) software. Total fixed cost in urban and peri urban area was Rs. 2.27±0.36 and 2.05±0.33 lakh, respectively. Among total cost, fixed cost was 11.42%, further; it was nonsignificant among urban and peri-urban farms. Total variable cost was looked higher in urban farms i.e. Rs.18.97±2.47 and 14.50±2.33 in urban and periurban farms, respectively, however, it was nonsignificant between two areas. The proportion of variable cost was major (88.58%) among total cost. Among total cost feed-fodder cost was highest i.e. 70.10% followed by labour cost i.e. 17.13%. Gross total income was found higher in urban farms but it was nonsignificant between two regions. Pooled gross total income was Rs. 23.05 lakh. Average total income from sale of milk was Rs. 21.70 lakh (92.72%). Sale of animals (4.31%) and sale of dung (2.98%) was also having some contribution in return. The average net profit in urban farms was Original Research Article Rathva et al.; AJAEES, 39(4): 9-16, 2021; Article no.AJAEES.68034 10 found nonsignificant higher i.e. Rs. 5.52 and 3.48 lakh, in urban and peri urban farms, respectively. When farms was compared based on net return per adult unit the urban farms was significantly more profitable (US$ 172 v/s 136). The net profit per litre of milk was Rs. 9.20 and 6.80 in urban and periurban farms, respectively. The overall benefit cost ratio was found 1:1.20. It was also higher in urban area. Thus, it can be concluded that urban and periurban dairy farms are profitable and viable enterprise.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115147162","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 : 2021-05-03DOI: 10.9734/AJAEES/2021/V39I430557
M. Areef, Y. Radha, V. Rao, P. Gopal, K. Paul, K. Suseela, S. Rajeswari
This study aims to identify factors that contribute to consumption expenditure inequality and employed the regression based inequality decomposition (RBID) method. Used primary data on agricultural households’ consumption expenditure for the agricultural year 2018-19 in the south coastal region of Andhra Pradesh. The results compared across the landholding size wise category and concluded that monthly income, dependency ratio, non-farm income-earning members and size of household contributed highest percentage share to total inequality for food, non-food and total consumption expenditure. At the aggregate (overall farmers) level highest percentage of inequality share contributed by monthly income and followed by the size of landholding. There is a need to focus on control the size of households by narrowing the dependency ratio and enhance the monthly income of agricultural households by providing employment opportunities in both farm and non-farm income-earning activities.
{"title":"Does Size of Landholding Contributing Highest Share to Consumption Expenditure Inequalities among Agricultural Households?","authors":"M. Areef, Y. Radha, V. Rao, P. Gopal, K. Paul, K. Suseela, S. Rajeswari","doi":"10.9734/AJAEES/2021/V39I430557","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I430557","url":null,"abstract":"This study aims to identify factors that contribute to consumption expenditure inequality and employed the regression based inequality decomposition (RBID) method. Used primary data on agricultural households’ consumption expenditure for the agricultural year 2018-19 in the south coastal region of Andhra Pradesh. The results compared across the landholding size wise category and concluded that monthly income, dependency ratio, non-farm income-earning members and size of household contributed highest percentage share to total inequality for food, non-food and total consumption expenditure. At the aggregate (overall farmers) level highest percentage of inequality share contributed by monthly income and followed by the size of landholding. There is a need to focus on control the size of households by narrowing the dependency ratio and enhance the monthly income of agricultural households by providing employment opportunities in both farm and non-farm income-earning activities.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131730787","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 : 2021-05-01DOI: 10.9734/AJAEES/2021/V39I330556
Sidina Ali Diallo, K. Savadogo, Abel Tiemtore, Soumaïla Diarra, D. Kouyate, B. M. Sangare
The objective of this study is to identify the determinants of households’ food insecurity in rural areas in Mali, ranked among the most exposed to this phenomenon. The study used data from the national food security and nutritional survey in March 2016. The estimation of the econometric logit model by the maximum likelihood method revealed that regional location, age of household head, household size, level of education of the household head, welfare index and incomes’ diversification sources are the main determinants of households’ food insecurity in a rural area in Mali. The analysis shows that age of household head, size of household and practical of recession cropping affect positively food insecurity while the educational level of household head, welfare index and Original Research Article Diallo et al.; AJAEES, 39(3): 158-172, 2021; Article no.AJAEES.67670 159 incomes ’diversification sources affect negatively food insecurity. These determinants are pillars on which policy maker might rely to reduce food insecurity. Therefore, it is desirable for government to orientate more the food insecurity fight programs towards the most affected regions, to prioritize households head with advanced age and those whose size is high, and promote recession cropping during the food insecurity fight plan, improve household education level, promote the household’s welfare and sensitize the households to diversify the sources of their income.
{"title":"Determinants of Food Insecurity in Rural Areas in Mali","authors":"Sidina Ali Diallo, K. Savadogo, Abel Tiemtore, Soumaïla Diarra, D. Kouyate, B. M. Sangare","doi":"10.9734/AJAEES/2021/V39I330556","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I330556","url":null,"abstract":"The objective of this study is to identify the determinants of households’ food insecurity in rural areas in Mali, ranked among the most exposed to this phenomenon. The study used data from the national food security and nutritional survey in March 2016. The estimation of the econometric logit model by the maximum likelihood method revealed that regional location, age of household head, household size, level of education of the household head, welfare index and incomes’ diversification sources are the main determinants of households’ food insecurity in a rural area in Mali. The analysis shows that age of household head, size of household and practical of recession cropping affect positively food insecurity while the educational level of household head, welfare index and Original Research Article Diallo et al.; AJAEES, 39(3): 158-172, 2021; Article no.AJAEES.67670 159 incomes ’diversification sources affect negatively food insecurity. These determinants are pillars on which policy maker might rely to reduce food insecurity. Therefore, it is desirable for government to orientate more the food insecurity fight programs towards the most affected regions, to prioritize households head with advanced age and those whose size is high, and promote recession cropping during the food insecurity fight plan, improve household education level, promote the household’s welfare and sensitize the households to diversify the sources of their income.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130786929","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 : 2021-04-29DOI: 10.9734/AJAEES/2021/V39I330555
Shah Johir Rayhan, Md. Jahurul Islam, Mohammad Mizanul Haque Kazal, M. Kamruzzaman
This study examined the value chain and marketing margin of brinjal in Bandarban, Khagrachari and Chittagong of Bangladesh. It looks at profitability, value addition at different levels and marketing efficiency for the various market. The simple random sampling technique was followed for collecting primary data from the vegetable growers in the study area. In this study, total 60 growers and 50 market intermediaries were selected. A primary survey was carried out in January to June 2016. The benefit-Cost Ratio was used for estimating profitability. Marketing cost and margin were used for calculating the value addition in every stage of the supply chain. For assessing marketing Original Research Article Rayhan et al.; AJAEES, 39(3): 145-157, 2021; Article no.AJAEES.67495 146 efficiency, price spread, producers share, and Acharya’s methods were employed. The result revealed that brinjal cultivation was profitable since the Benefit-Cost Ratio (BCR) of brinjal cultivation was 1.59. The highest net marketing margin for brinjal was found in chain II. The most efficient marketing chain was found in chain III, which is Farmer → Retailer → Consumer (Local) in the study area. It appears that, based on the findings of the study, there is considerable scope exists for developing the value chain through keeping the marketing efficiency at the chain III level.
{"title":"Value Chain Analysis of Brinjal in the Chittagong Hill Tracts of Bangladesh","authors":"Shah Johir Rayhan, Md. Jahurul Islam, Mohammad Mizanul Haque Kazal, M. Kamruzzaman","doi":"10.9734/AJAEES/2021/V39I330555","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I330555","url":null,"abstract":"This study examined the value chain and marketing margin of brinjal in Bandarban, Khagrachari and Chittagong of Bangladesh. It looks at profitability, value addition at different levels and marketing efficiency for the various market. The simple random sampling technique was followed for collecting primary data from the vegetable growers in the study area. In this study, total 60 growers and 50 market intermediaries were selected. A primary survey was carried out in January to June 2016. The benefit-Cost Ratio was used for estimating profitability. Marketing cost and margin were used for calculating the value addition in every stage of the supply chain. For assessing marketing Original Research Article Rayhan et al.; AJAEES, 39(3): 145-157, 2021; Article no.AJAEES.67495 146 efficiency, price spread, producers share, and Acharya’s methods were employed. The result revealed that brinjal cultivation was profitable since the Benefit-Cost Ratio (BCR) of brinjal cultivation was 1.59. The highest net marketing margin for brinjal was found in chain II. The most efficient marketing chain was found in chain III, which is Farmer → Retailer → Consumer (Local) in the study area. It appears that, based on the findings of the study, there is considerable scope exists for developing the value chain through keeping the marketing efficiency at the chain III level.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129565139","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 : 2021-04-28DOI: 10.9734/AJAEES/2021/V39I330553
Md. Sadekur Rahman, Md. Enamul Haque, M. S. I. Afrad, S. Hasan, Md. Abiar Rahman
Mobile phone helps in communication and thus, lead to accessing information is gaining popularity in Bangladesh along with many developing countries. In the remote rural areas where mobile network is not up to the expectation yet and scarcity of information is a stark, rural farm women entrepreneur trying to seek information through mobile phone. The focus of the study was to determine the extent and types of information seeking through mobile phones by the rural farm Original Research Article Rahman et al.; AJAEES, 39(3): 114-134, 2021; Article no.AJAEES.67733 115 women and explore the contribution of selected characteristics of the rural farm women on the extent of information seeking through mobile phones. The study was conducted in two geographic locations, in the Northern part of Bangladesh Doholpara, and Dakkhinkharibari village under Dimla Upazila, and in the Southern part Borokupot village of Shyamnagar Upazila. A multi-stage sampling technique was followed in conducting the study. The present study was conducted on 150 sampled rural farm women which comprised of 50 from each farm enterprise's crop, fisheries, and livestock. Data were collected by a pre-tested interview schedule that was prepared with simple and direct questions with different appropriate scales from September to December 2020. Along with descriptive statistics, correlation and multiple regression analysis were also performed. The major findings revealed that the majority of the rural farm women of each three farm enterprises (crop, fisheries, and livestock) in the study area were found in a category of those who seek agricultural information through mobile phone at a medium to a higher level. Findings also revealed that in all three agricultural farm enterprises, rural farm women mostly seek market information i.e. calling market centers, traders, and dealers for checking market price followed by collecting weather forecast and contact with experts during an emergency like information regarding diseases of fish, selection fish fries and contact with the veterinary surgeon or quack doctor regarding domestics animal. Among profile characteristics, family size, experience in managing the farm, attitude towards the mobile phone, and organizational participation were identified as the important contributing factors of the rural farm women in seeking information through mobile phone.
{"title":"Mobile Phone as a Communication Device for Seeking Agricultural Information by the Rural Farm Women in Bangladesh","authors":"Md. Sadekur Rahman, Md. Enamul Haque, M. S. I. Afrad, S. Hasan, Md. Abiar Rahman","doi":"10.9734/AJAEES/2021/V39I330553","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I330553","url":null,"abstract":"Mobile phone helps in communication and thus, lead to accessing information is gaining popularity in Bangladesh along with many developing countries. In the remote rural areas where mobile network is not up to the expectation yet and scarcity of information is a stark, rural farm women entrepreneur trying to seek information through mobile phone. The focus of the study was to determine the extent and types of information seeking through mobile phones by the rural farm Original Research Article Rahman et al.; AJAEES, 39(3): 114-134, 2021; Article no.AJAEES.67733 115 women and explore the contribution of selected characteristics of the rural farm women on the extent of information seeking through mobile phones. The study was conducted in two geographic locations, in the Northern part of Bangladesh Doholpara, and Dakkhinkharibari village under Dimla Upazila, and in the Southern part Borokupot village of Shyamnagar Upazila. A multi-stage sampling technique was followed in conducting the study. The present study was conducted on 150 sampled rural farm women which comprised of 50 from each farm enterprise's crop, fisheries, and livestock. Data were collected by a pre-tested interview schedule that was prepared with simple and direct questions with different appropriate scales from September to December 2020. Along with descriptive statistics, correlation and multiple regression analysis were also performed. The major findings revealed that the majority of the rural farm women of each three farm enterprises (crop, fisheries, and livestock) in the study area were found in a category of those who seek agricultural information through mobile phone at a medium to a higher level. Findings also revealed that in all three agricultural farm enterprises, rural farm women mostly seek market information i.e. calling market centers, traders, and dealers for checking market price followed by collecting weather forecast and contact with experts during an emergency like information regarding diseases of fish, selection fish fries and contact with the veterinary surgeon or quack doctor regarding domestics animal. Among profile characteristics, family size, experience in managing the farm, attitude towards the mobile phone, and organizational participation were identified as the important contributing factors of the rural farm women in seeking information through mobile phone.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132928595","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 : 2021-04-26DOI: 10.9734/AJAEES/2021/V39I330550
M. Gatheru, D. Njarui, E. Gichangi, J. Ndubi, A. Murage, A. Gichangi
This study assessed the status and factors influencing access of extension and advisory services (EAS) for forage production among smallholder dairy farmers in Kenya. Using a multistage stratified random sampling, data were collected from 316 and 313 farmers in Kangundo sub-County and Kirinyaga Counties of Kenya, respectively. The intensity of dairy farming formed the basis of selection of the study areas. The data were analysed using descriptive statistics and binary logistic regression model. Results indicated that, overall the proportion of farmers who accessed EAS on forage production in Kirinyaga (26.4%) was double that of Kangundo (13.6%). Government was the main provider of EAS on forage production and accounted for between 73 to 90% of services in Kangundo and 54 to 81% in Kirinyaga. The main channels for accessing EAS in both sites were trainings (29 31%) and field days (22 30%). Overall, majority of farmers (71 73%) were satisfied with the information and services they received on forage production. The empirical estimates of Original Research Article Gatheru et al.; AJAEES, 39(3): 99-113, 2021; Article no.AJAEES.66649 100 logistic regression revealed that the probability of access to EAS increased with access to credit, membership to farmer groups and importance of livestock on household’s food security. We recommend that the governments use innovative extension approaches and strengthen formation of farmer groups/organizations in order to improve access of EAS by smallholder dairy farmers for enhanced forage production.
{"title":"Status and Factors Influencing Access of Extension and Advisory Services on Forage Production in Kenya","authors":"M. Gatheru, D. Njarui, E. Gichangi, J. Ndubi, A. Murage, A. Gichangi","doi":"10.9734/AJAEES/2021/V39I330550","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I330550","url":null,"abstract":"This study assessed the status and factors influencing access of extension and advisory services (EAS) for forage production among smallholder dairy farmers in Kenya. Using a multistage stratified random sampling, data were collected from 316 and 313 farmers in Kangundo sub-County and Kirinyaga Counties of Kenya, respectively. The intensity of dairy farming formed the basis of selection of the study areas. The data were analysed using descriptive statistics and binary logistic regression model. Results indicated that, overall the proportion of farmers who accessed EAS on forage production in Kirinyaga (26.4%) was double that of Kangundo (13.6%). Government was the main provider of EAS on forage production and accounted for between 73 to 90% of services in Kangundo and 54 to 81% in Kirinyaga. The main channels for accessing EAS in both sites were trainings (29 31%) and field days (22 30%). Overall, majority of farmers (71 73%) were satisfied with the information and services they received on forage production. The empirical estimates of Original Research Article Gatheru et al.; AJAEES, 39(3): 99-113, 2021; Article no.AJAEES.66649 100 logistic regression revealed that the probability of access to EAS increased with access to credit, membership to farmer groups and importance of livestock on household’s food security. We recommend that the governments use innovative extension approaches and strengthen formation of farmer groups/organizations in order to improve access of EAS by smallholder dairy farmers for enhanced forage production.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134328778","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 : 2021-04-24DOI: 10.9734/AJAEES/2021/V39I330549
Kallagadda Ashok, Rajinder Peshin, K. Manjunath, Rakesh Kumar, R. Sharma
National Rural Livelihood Mission (NRLM) scheme was launched in 2011 with an agenda to reach out and mobilise seventy million below poverty line (BPL) households into self-managed self-help groups (SHG) and federal institutions and support them through livelihood collectives. In order to understand the profile characteristics of SHGs established under this scheme, the study was conducted in purposively selected Jammu and Samba districts in the Jammu region. Out of a total of 670 SHGs set up till 2017, a sample of 20 SHGs, 10 from each purposively selected Dansal block of Jammu district and Ghagwal block of Samba district were selected employing random sampling technique without replacement. Data collection was done by personal interview method with a semi structured interview schedule. The results revealed that all the respondents were female and majority were married belonging to the scheduled castes, with a nuclear family type having an Original Research Article Ashok et al.; AJAEES, 39(3): 93-98, 2021; Article no.AJAEES.67629
{"title":"A Study on the Socioeconomic Profile of Self Help Groups Established under NRLM in the Jammu Region","authors":"Kallagadda Ashok, Rajinder Peshin, K. Manjunath, Rakesh Kumar, R. Sharma","doi":"10.9734/AJAEES/2021/V39I330549","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I330549","url":null,"abstract":"National Rural Livelihood Mission (NRLM) scheme was launched in 2011 with an agenda to reach out and mobilise seventy million below poverty line (BPL) households into self-managed self-help groups (SHG) and federal institutions and support them through livelihood collectives. In order to understand the profile characteristics of SHGs established under this scheme, the study was conducted in purposively selected Jammu and Samba districts in the Jammu region. Out of a total of 670 SHGs set up till 2017, a sample of 20 SHGs, 10 from each purposively selected Dansal block of Jammu district and Ghagwal block of Samba district were selected employing random sampling technique without replacement. Data collection was done by personal interview method with a semi structured interview schedule. The results revealed that all the respondents were female and majority were married belonging to the scheduled castes, with a nuclear family type having an Original Research Article Ashok et al.; AJAEES, 39(3): 93-98, 2021; Article no.AJAEES.67629","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115574258","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 : 2021-04-24DOI: 10.9734/AJAEES/2021/V39I330548
Sagar, M. Khan, Mahin Sharif
Rainfed areas are not only thirsty but also hungry for nutrients and are hotspots of poverty, malnutrition, and degradation of natural resources. Looking into these aspects, the Government of Karnataka has implemented a mission mode project called “Bhoochetana” meaning “reviving the soils” to benefit dryland farmers for sustainable use of natural resources in Karnataka. This scheme aimed at enhancing the yield level of major dryland crops through integrated crop management (ICM) practices. The study has been conducted in the Kalaburagi District of Karnataka State, where the majority of the area under agriculture is rainfed and cotton is one of the major rainfed crops grown on a large scale. The study revealed that the yield of the main product from cotton production for Bhoochetana beneficiary farmers was higher with 23.18 quintals per hectare compared to nonbeneficiary farmers with 21.36 quintals. The results of partial budgeting showed that, a net gain of ₹ 4660 per hectare was obtained by Bhoochetana scheme beneficiaries over non-beneficiary farmers. The study highlighted that, there is a positive significant effect of the scheme on the production of Original Research Article Sagar et al.; AJAEES, 39(3): 85-92, 2021; Article no.AJAEES.67599 86 cotton. Therefore, the policies must focus on long-term soil, water, and other natural resource conservation practices to achieve sustainability in agriculture.
{"title":"Impact of Soil Rejuvenating Scheme on Income of Cotton Farmers – An Evidence from Kalaburagi District of Karnataka","authors":"Sagar, M. Khan, Mahin Sharif","doi":"10.9734/AJAEES/2021/V39I330548","DOIUrl":"https://doi.org/10.9734/AJAEES/2021/V39I330548","url":null,"abstract":"Rainfed areas are not only thirsty but also hungry for nutrients and are hotspots of poverty, malnutrition, and degradation of natural resources. Looking into these aspects, the Government of Karnataka has implemented a mission mode project called “Bhoochetana” meaning “reviving the soils” to benefit dryland farmers for sustainable use of natural resources in Karnataka. This scheme aimed at enhancing the yield level of major dryland crops through integrated crop management (ICM) practices. The study has been conducted in the Kalaburagi District of Karnataka State, where the majority of the area under agriculture is rainfed and cotton is one of the major rainfed crops grown on a large scale. The study revealed that the yield of the main product from cotton production for Bhoochetana beneficiary farmers was higher with 23.18 quintals per hectare compared to nonbeneficiary farmers with 21.36 quintals. The results of partial budgeting showed that, a net gain of ₹ 4660 per hectare was obtained by Bhoochetana scheme beneficiaries over non-beneficiary farmers. The study highlighted that, there is a positive significant effect of the scheme on the production of Original Research Article Sagar et al.; AJAEES, 39(3): 85-92, 2021; Article no.AJAEES.67599 86 cotton. Therefore, the policies must focus on long-term soil, water, and other natural resource conservation practices to achieve sustainability in agriculture.","PeriodicalId":204208,"journal":{"name":"Asian Journal of Agricultural Extension, Economics and Sociology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129349135","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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