scholarly journals Determinants of smallholders’ adoption of off-season vegetable production technology in Okhaldhunga District of Nepal

2018 ◽  
pp. 221-228
Author(s):  
B. Kunwar ◽  
D. Dhakal ◽  
H. K. Panta
Keyword(s):  
Technology Adoption ◽  
Regression Model ◽  
Production Technology ◽  
Farm Households ◽  
Farm Household ◽  
Vegetable Production ◽  
Probit Regression ◽  
Extension Services ◽  
Socioeconomic Characteristics ◽  
Adoption Decisions

Mid-hills of Nepal is potential for off-season vegetable production but still the number of off-season vegetable growers is few and production is nominal which cannot even fulfill the internal demand. This paper examines the factors that influence farm households’ decisions for adoption of off-season vegetable production. Household questionnaires were administered to 100 farmers of Okhaldhunga district of Eastern mid-hill of Nepal. Probit regression model is used to determine the factors. The result showed that years of schooling, years of vegetable production, access to extension services, training received are the factors that significantly influence technology adoption decisions of farm households’ in the study area. It is concluded that farm households’ off-season vegetable production depend on socioeconomic characteristics of farm household and institutional effectiveness. We recommend that policies should be formulated to take advantage of factors that positively influence farmers’ adoption decisions and to mitigate the negative ones.Journal of the Institute of Agriculture and Animal Science.Vol. 33-34, 2015, page: 221-228

scholarly journals Migration as adaptation strategy to cope with climate change

2018 ◽  
Vol 10 (1) ◽  
pp. 121-141 ◽  
Author(s):  
Chandan Kumar Jha ◽  
Vijaya Gupta ◽  
Utpal Chattopadhyay ◽  
Binilkumar Amarayil Sreeraman
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Agricultural Extension ◽  
Farm Households ◽  
Extension Services ◽  
Coping Capacity ◽  
Content Type ◽  
Socioeconomic Characteristics ◽  
Significant Difference

Purpose This study aims to evaluate the link between climate/weather change and farmer migration in Bihar, India. The influence of cognitive conditions and climate-related stress on farmer migration decisions and the socioeconomic characteristics of migrating and non-migrating farm households are analysed. The focus is the role of migration in access to climate and agricultural extension services and the contribution of migration to enhanced farmer coping capacity. Design/methodology/approach A primary survey was conducted of farm households in seven districts of Bihar, India. Farmer perceptions of climate change were analysed using the mental map technique. The role of socioeconomic characteristics in farm household migration was evaluated using binary logistic regression, and the influence of migration on access to climate and agricultural extension services and the adaptive capacity of migrating households was investigated using descriptive statistics. Findings Climate-induced livelihood risk factors are one of the major drivers of farmer’s migration. The farmers’ perception on climate change influences migration along with the socioeconomic characteristics. There is a significant difference between migrating and non-migrating farm households in the utilization of instructions, knowledge and technology based climate and agriculture extension services. Benefits from receipt of remittance, knowledge and social networks from the host region enhances migrating households’ adaptive capacity. Originality/value This study provides micro-evidence of the contribution of migration to farmer adaptive capacity and access to climate and agricultural extension services, which will benefit analyses of climate-induced migration in other developing countries with higher agricultural dependence. In addition, valuable insights are delivered on policy requirements to reduce farmer vulnerability to climate change.

scholarly journals Adoption of garden coffee production technology package by smallholder farmers in Ethiopia

2021 ◽  
Vol 21 (05) ◽  
pp. 17989-18004
Author(s):  
Teshome Kassahun ◽  
Keyword(s):  
Technology Adoption ◽  
Production Technology ◽  
Smallholder Farmers ◽  
New Technology ◽  
Household Head ◽  
Index Score ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Coffee Production ◽  
Extension Services

This study investigated the level and determinants of garden coffee production technology package adoption in Ethiopia. The analysis was based on survey data collected from 293 garden coffee-growing households. The findings show that garden coffee production technology package adoption status in Dale districts was various across the smallholders’ growers. The productivity of improved coffee varieties at farm plots was less than at research plots in Dale due to low coffee production technology package adoption. The use of improved coffee varieties, weed control practices, compost application, pruning practices, shade tree management, intercropping practices, and coffee seedling planting spacingisthe main garden coffee production technology package practiced by smallholder coffee growersinDale. Thus, the garden coffee production technology package adoption index score ranged from 0.43 to 1.00. Adoption index scores were categorized into high (0.71 to 1), medium (0.5 to 0.7) and Low (0.43 to 0.49) adopters. Only 57% of farmers reached high coffee production technology adoption status but the remaining30% and 13% of garden coffee farmers attained medium and low adoption status. The mean adoption index score was found to be 0.66, which implies the overall adoption status was found under the medium technology adoption category. The maximum likelihood estimates of Tobit model result shows that gender of household head (-0.261), education level (0.09),the annual income of the household (0.003), farm size (0.031), availability of labor (0.155), credit facilities (0.087), coffee extension services (0.047) and farmer perception of improved coffee varieties (-0.024) were significant determinants of garden coffee production technology package in Dale district. Hence, for farmers to adopt new technology they must know it well. Adopting all components of the coffee production technology package simultaneously as recommended by the research center enhances coffee productivity at farm plots level. Moreover, building better coffee production extension services, institutional arrangement, and access to new technology information can possibly increase coffee production technology package adoption in Ethiopia.

scholarly journals Empirical review on determinants of potato and onion production technology packages adoption in Ethiopia

2021 ◽  
pp. 285-291
Author(s):  
Zenbaba Oliyad Sori
Keyword(s):  
Technology Adoption ◽  
Production Technology ◽  
Smallholder Farmers ◽  
Crop Protection ◽  
Vegetable Production ◽  
Production Methods ◽  
Expected Outcome ◽  
Different Types ◽  
Production Techniques ◽  
Socio Economic Factors

Vegetable production technology packages adoption is essential for intensifying its productivity thereby improve the income of smallholder farmers in Ethiopia. Analog to vegetable, production adoption of Potato and onion also play a great role in improving the daily livelihood of farmers. However, there are few studies on its technology adoption to encourage farmers to substitute their production methods by modern production techniques and maximize return from the sector. The objective of this review paper is to review determinant factors of vegetable technology package adoption in Ethiopia by using the finding of popular published empirical researches. The findings of the review identified that, adoption of potato and onion technologies in Ethiopia is low due to different constraints caused by demographic factors, socio-economic factors, institutional factors and technological factors. Similarly, different empirical researches which are reviewed by this 0review paper identified different types of potato and onion production technology packages like improved seed varieties, fertilizers, quality seed, irrigation services, crop protection methods, and storing house.As a result of the above combinations of vegetable production technology adoption factors, the expected outcome to be obtained from the sector is still poorly performed. By considering the importance of these potato and onion production technology packages, applying and implementing the procedures of adoption bring the decision to adopt technologies and improve the extent of it thereby sustain potato and onion production in Ethiopia.

scholarly journals Survey and Assessment of Willingness to Pay (WTP) for Reducing the Health and Environmental Risks of Vegetable Production Activities inBinh Chanh District, Ho Chi Minh City

2021 ◽  
Vol 37 (2) ◽  
Author(s):  
Vu Thi Anh Ngoc ◽  
Thai Anh Hoa ◽  
Nguyen Kim Thoa ◽  
Nguyen Minh Ky
Keyword(s):  
Willingness To Pay ◽  
Regression Model ◽  
Sampling Method ◽  
Environmental Risks ◽  
Farm Households ◽  
Ho Chi Minh City ◽  
Vegetable Production ◽  
Affecting Factors ◽  
Current State ◽  
Group I

The paper presents the current state of using pesticides and Willingness to Pay (WTP) to reduce vegetable producers’ health and environmental risks in Binh Chanh District, Ho Chi Minh City. This study used random sampling method by investigating 60 households (30 normal farm households and 30 VietGAP households). The main contents cover assessment on the impacts of using  pesticides, conducting WTP surveys to reduce health and environmental risks due to exposure to pesticides and analyzing marginal effects related to the Log - Lin regression model. Regarding the current, the normal vegetable producers tended to use more pesticides and exceed recommended doses compared to VietGAP group. The regression model explained 86,0 percent of the changes in farmers' WTP. The estimation results of the affecting factors to WTP showed that the variables such as agricultural promotion (X3), income (X4), amount of group I&II pesticides (X5), the frequency of exposure of group I&II pesticides (X7), and dummy variables GAP (GAP) were statistically significant (p<0,05). Therefore, the study proposed relevant solutions to reduce health and environmental risks in vegetable production for the safe use of pesticides.

Income-Based Poverty among Non-Farm Households in Rural Punjab

2020 ◽  
pp. 204-210
Keyword(s):  
World Bank ◽  
Capita Income ◽  
Poverty Line ◽  
Farm Households ◽  
Farm Household ◽  
Expert Group ◽  
Per Capita Income ◽  
Service Category ◽  
Self Employment ◽  
Per Capita

This paper focuses upon the magnitude of income-based poverty among non-farm households in rural Punjab. Based on the primary survey, a sample of 440 rural non-farm households were taken from 44 sampled villages located in all 22 districts of Punjab.The poverty was estimated on the basis of income level. For measuring poverty, various methods/criteria (Expert Group Criteria, World Bank Method and State Per Capita Income Criterion) were used. On the basis of Expert Group Income criterion, overall, less than one-third of the persons of rural non-farm household categories are observed to be poor. On the basis, 40 percent State Per Capita Income Criteria, around three-fourth of the persons of all rural non-farm household categories are falling underneath poverty line. Similarly, the occurrence of the poverty, on the basis of 50 percent State Per Capita Income Criteria, showed that nearly four-fifths of the persons are considered to be poor. As per World Bank’s $ 1.90 per day, overall, less than one-fifth of rural non-farm household persons are poor. Slightly, less than one-fourth of the persons are belonging to self-employment category, while, slightly, less than one-tenth falling in-service category. On the basis of $ 3.10 per day criteria, overall, less than two-fifth persons of all rural non-farm household categories were living below the poverty line.

Crossbred Cattle Adoption and its Implications on Raising Employment in the Smallholder Dairying of Rural Assam

2020 ◽  
pp. 81-88
Keyword(s):  
Development Programme ◽  
Farm Households ◽  
Crossbred Cattle ◽  
Dairy Farmers ◽  
Cross Sectional ◽  
Extension Services ◽  
Cooperative Society ◽  
Average Size ◽  
Smallholder Dairying ◽  
Dairy Development

ABSTRACT Using cross-sectional data of 245 smallholder rural dairy farmers and propensity score matching, the present study attempted to estimate the treatment effect of changing the breed of cattle (indigenous to crossbred) on changes in labour use in Assam. The analysis indicated that crossbred cattle adopters had higher herd sizes, access to extension services, membership of dairy cooperative society (DCS) and the majority of them are beneficiary of government dairy development programme. The estimation results show that crossbred cattle adopters had significantly higher labour use for selected dairy farming operations. This points out that there was a higher employment prospect in the adoption of crossbred cattle. Additionally, the study pointed out that crossbred cattle adoption was associated with higher employment effect on small to average size farms and farm households with literate farmers. The findings of the study recommend that there is a need for adequate diffusion of breeding technology such as artificial insemination (AI) or deployment of pure-breed exotic bulls in not so easily accessible areas to facilitate the small and medium farmers with crossbred cattle adoption for generating employment along with augmenting productivity and income.

scholarly journals Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon

2021 ◽  
Vol 13 (11) ◽  
pp. 5964
Author(s):  
Louis Atamja ◽  
Sungjoon Yoo
Keyword(s):  
Regression Model ◽  
Rural Household ◽  
Household Welfare ◽  
Switching Regression ◽  
Probit Regression ◽  
Credit Constraint ◽  
Endogenous Switching Regression ◽  
North West ◽  
The North ◽  
West Region

The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.

scholarly journals Choice of Modern Food Distribution Channels and Its Welfare Effects: Empirical Evidence from Taiwan

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 499
Author(s):  
Yun-Cih Chang ◽  
Min-Fang Wei ◽  
Yir-Hueih Luh
Keyword(s):  
Control Function ◽  
Smallholder Farmers ◽  
Distribution Channel ◽  
Marketing Channel ◽  
Distribution Channels ◽  
Food Distribution ◽  
Economic Effects ◽  
Farm Households ◽  
Farm Household ◽  
Decomposition Approach

The determinants and/or economic effects of modern food distribution channels have attracted much attention in previous research. Studies on the welfare consequences of modern channel options, however, have been sparse. Based on a broader definition of modern food distribution channels including midstream processors and downstream retailers (supermarkets, hypermarkets, brand-named retailers), this study contributes to the existing body of knowledge by exploring the distributional implications of farm households’ choice of modern food distribution channels using a large and unique farm household dataset in Taiwan. Making use of the two-step control function approach, we identify the effect of modern food distribution options on farm households’ profitability. The results reveal selling farm produce to modern food distributors does not produce a positive differential compared to the traditional outlets. Another dimension of farm household welfare affected by the choice of modern food distribution channel is income inequality. We apply the Lerman and Yitzhaki decomposition approach to gain a better understanding of the effect of the marketing channel option on the overall distribution of farm household income. The Gini decomposition of different income sources indicates that the choice of modern food distribution channels results in an inequality-equalizing effect among the farm households in Taiwan, suggesting the inclusion of smallholder farmers in the modern food distribution channels improves the overall welfare of the rural society.

scholarly journals Allocative efficiency and adoption of improved maize variety: A case of eastern hills of Nepal

2020 ◽  
Vol 3 (1) ◽  
pp. 148-159
Author(s):  
Tilak Katel ◽  
Bhishma Raj Dahal ◽  
Sandesh Bhatta
Keyword(s):  
Regression Model ◽  
Insect Pest ◽  
Allocative Efficiency ◽  
Climatic Conditions ◽  
Probit Regression ◽  
Maize Production ◽  
Factors Affecting ◽  
Face To Face ◽  
Maize Variety ◽  
Structured Questionnaire

Production and  profit from maize farming can be substantially increased by allocating resources efficiently and adopting improved maize variety. In this context, a study was undertaken to determine the allocative efficiency and factors affecting adoption of improved maize variety in Eastern hills of Nepal. Random sampling was conducted in eastern part of Khotang district namely, Halesi municipality and Diktel Rupakot Majuwagadi municipality during month of March 2019. Pretested semi-structured questionnaire was administered among 80 randomly selected farmers cultivating maize since last two years. Face to face interview was scheduled to obtain data. Cobb Douglas production function was used to determine allocative efficiency; probit regression model was launched to determine factors affecting adoption of improved maize variety.  Significant positive relation of cost of seed, planting, and weeding with income has suggested to increase expenditure on certified maize seed over own farm seed, line sowing over broadcasting, and weeding. The model revealed that increasing all the factors of production by 100% would result in increase in income by 71.83%. Furthermore, cultivating improved maize variety is more profitable than own farm seed. Probit regression model showed that, farmers who have received training, who were member of cooperatives and who have received high schooling were more likely to adopt open-pollinated improved maize variety. Unavailability of inputs (seed, fertilizer, and labor), insect pest attack and adverse climatic conditions were major constraint of maize farming. Therefore, it would be better to suggest maize producers to increase expenditure on seed; make maize field weed free and adopt line sowing method. In addition, providing training, increasing access over inputs and encouraging farmers towards cooperatives could be virtuous for sustainable maize production.

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