scholarly journals Determinants of Multiple Agricultural Technology Adoption: Evidence from Rural Amhara Region, Ethiopia

2021 ◽  
Author(s):  
Abebaw Hailu Fikire ◽  
Mesele Belay Zegeye
Keyword(s):  
Rural Areas ◽  
Multinomial Logit Model ◽  
Agricultural Technology ◽  
Farm Households ◽  
Amhara Region ◽  
Barriers To Adoption ◽  
Agricultural Technologies ◽  
Factors Affecting ◽  
Credit Access ◽  
Economic Survey

The adoption of agricultural technology is an important path for raising agricultural productivity, and thereby for reducing food insecurity and poverty. Despite the efforts to promote adoption in most of the rural areas of Ethiopian farmers, the adoption rate has always been very low. So, it is essential to understand the barriers to adoption. As a result, this study examined the determinants of adoption of multiple agricultural technologies in rural Amhara region of Ethiopia. The study is based on Ethiopian socio-economic survey of 2015/16. A sample of 656 farm households was considered. The paper used multinomial logit model to assess the factors affecting adoption. The result shows that farmers with more educational level, family size, off-farm participation, livestock, extension contact, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are more likely to adopt new or improved agricultural technology. Therefore, the study recommends the need of policies and interventions on adoption of agricultural technology should pay attention and move along with those variables significantly influencing adoption of agricultural technology.

scholarly journals Basket of options: Unpacking the concept

2021 ◽  
pp. 003072702110194
Author(s):  
E Ronner ◽  
J Sumberg ◽  
D Glover ◽  
KKE Descheemaeker ◽  
CJM Almekinders ◽  
...  
Keyword(s):  
Technological Change ◽  
Rural Areas ◽  
Farm Households ◽  
Agricultural Technologies ◽  
Trade Off ◽  
Individual User ◽  
Opportunities For Learning ◽  
Critical Attention ◽  
The Face ◽  
Potential Adaptation

How to stimulate technological change to enhance agricultural productivity and reduce poverty remains an area of vigorous debate. In the face of heterogeneity among farm households and rural areas, one proposition is to offer potential users a ‘basket of options’ – a range of agricultural technologies from which potential users may select the ones that are best suited to their specific circumstances. While the idea of a basket of options is now generally accepted, it has attracted little critical attention. In this paper, we reflect on outstanding questions: the appropriate dimensions of a basket, its contents and how they are identified, and how a basket might be presented. We conceive a basket of options in terms of its depth (number of options related to a problem or opportunity) and breadth (the number of different problems or opportunities addressed). The dimensions of a basket should reflect the framing of the problem or opportunity at hand and the objective in offering the basket. We recognise that increasing the number of options leads to a trade-off by decreasing the fraction of those options that are relevant to an individual user. Farmers might try out, adapt or use one or more of the options in a basket, possibly leading to a process of technological change. We emphasise that the selection (or not) of specific options from the basket, and potential adaptation of the options, provide important opportunities for learning. Baskets of options can therefore be understood as important boundary concepts that invite critical engagement, comparison and discussion. Significant knowledge gaps remain, however, about the best ways to present the basket and to guide potential users to select the options that are most relevant to them.

What restricts credit to women enterprises? Evidence from India’s informal sector

2019 ◽  
Vol 46 (7) ◽  
pp. 920-937
Author(s):  
Prateeksha Maurya ◽  
Pratap Chandra Mohanty
Keyword(s):  
Rural Areas ◽  
Policy Making ◽  
Data Set ◽  
Financial Access ◽  
Content Type ◽  
Factors Affecting ◽  
Credit Access ◽  
Access To Credit ◽  
And Gender ◽  
Major Factors

Purpose The purpose of this paper is to determine the factors which affect the financial access of the female-owned informal enterprises (FOIEs) in India. There has been a dearth of studies particularly targeting determinants of credit access by the women-owned informal enterprises. Demand side factors affecting financial access have been studied. The study of major factors affecting access to credit by unorganized women enterprises will be useful for policy making perspectives. Design/methodology/approach The study uses nationalized micro data set on the non-agricultural informal enterprises and probit estimation has been used to identify the factors which affect the probabilities of access to credit for the FOIEs. Findings The study highlights what facilitates and hinders the financial access for the FOIEs particularly in India. These enterprises in rural areas have better chances to avail credit from formal sources. Firm size, measured by policy-making size of employment and gross profit, involvement in diversified activities, maintenance of accounting record, has positive and significant impact on access to formal credit. The younger firms and the firms operating in the southern states of the country have higher probabilities to avail credit from institutional sources. Originality/value The study used the latest data set available on Indian informal enterprises, thus provides important insights about the status of financing of enterprises in India. This study highlights the regional variations and gender disparities that are prevalent in the Indian economy.

scholarly journals Joint adoption of rice technologies among Bolivian farmers

2021 ◽  
pp. 1-21
Author(s):  
Jose Maria Martinez ◽  
Ricardo A. Labarta ◽  
Carolina Gonzalez ◽  
Diana C. Lopera
Keyword(s):  
Technology Adoption ◽  
Information Diffusion ◽  
Agricultural Practices ◽  
Agricultural Technology ◽  
Adoption Studies ◽  
Agricultural Technologies ◽  
Factors Affecting ◽  
Joint Decisions ◽  
Nationally Representative

Abstract Bolivia has disseminated several improved technologies in the rice sector, but the average rice productivity in the country is far below the average trend in Latin America in recent years. Although the economic literature has highlighted the role of agricultural technology adoption in increasing agricultural productivity, gaps remain in understanding how rice growers are deciding to adopt and benefit from available improved rice technologies. Most previous adoption studies have evaluated the uptake of individual technologies without paying attention to the complementarities that alternative improved rice technologies may offer to farmers who face multiple marketing and production needs. This study uses data from a nationally representative sample of Bolivian rice growers to analyze farmers' joint decisions in adopting complementary agricultural technologies controlling for potential correlations across these decisions, as well as the extent of adoption of these practices. Evidence suggests that the decisions on multiple technology adoption are closely related, with common factors affecting both adoption and the extent of adoption. Furthermore, there is a need to better target resource-poor farmers, improve information-diffusion channels on agricultural practices, and better use existing farmers' organizations to enhance rice technology adoption.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

Loan officer rotation and credit access: evidence from Madagascar

2019 ◽  
Vol 80 (1) ◽  
pp. 51-67
Author(s):  
Yaw Sarfo ◽  
Oliver Musshoff ◽  
Ron Weber
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Frequency Effect ◽  
Content Type ◽  
Credit Access ◽  
Loan Officer ◽  
Microfinance Institution ◽  
Lending Decisions ◽  
Loan Officers ◽  
Loan Approval

Purpose With exclusive data from a commercial microfinance institution (MFI) in Madagascar, the purpose of this paper is to investigate if loan officer rotation (change of loan officer) has an effect on credit access (loan approval) in rural and in urban areas. The authors further analyze how the frequency of loan officer rotation affects credit access in rural and in urban areas. Design/methodology/approach The authors apply propensity score matching to compare credit access between loan applicants who experienced loan officer rotation and loan applicants who experienced no loan officer rotation in rural and in urban areas. Findings Results show that loan officer rotation has a positive and statistically significant effect on credit access. The authors observe further that loan officer rotation has a different effect on credit access in rural and in urban areas. Whilst rural loan applicants who experienced loan officer rotation are more likely to have credit access, urban loan applicants show no statistically significant effect of loan officer rotation on credit access. For the frequency effect on credit access, the authors observe that one loan officer rotation has a positive and statistically significant effect on credit access whereas results are mixed for two loan officer rotations. Research limitations/implications Even though the authors can show that loan officer rotation can improve credit access to loan applicants, especially in rural areas, the conditions in Madagascar are unique. Therefore, results need to be verified in other countries and institutional contexts. Practical implications From the perspective of MFI, the authors recommend that the management of MFI needs to provide better tools to loan officers to improve on the evaluation of agricultural loan products or standardize the assessment of agricultural loan products to improve on lending decisions. Further, if applicable, the authors recommend that MFI should consider using credit worthiness assessment procedures which rely less on loan officer’s judgment for loan evaluation, such as automated systems. From the perspective of loan applicants, the authors recommend that loan applicants should request for a change of loan officer if they experience successive loan applications rejection. Originality/value To the authors’ knowledge, this paper is the first to provide empirical evidence on the effect and frequency of loan officer rotation on credit access in Sub-Sahara Africa, and Madagascar, in particular.

Examining Driver Injury Severity in Single-Vehicle Road Departure Crashes Involving Large Trucks

2021 ◽  
pp. 036119812110101
Author(s):  
Mehdi Hosseinpour ◽  
Kirolos Haleem
Keyword(s):  
Rural Areas ◽  
Injury Severity ◽  
Factors Affecting ◽  
Crash Data ◽  
Natural Logarithm ◽  
Concrete Barriers ◽  
Local Roads ◽  
Single Vehicle ◽  
Safety Countermeasures ◽  
Injury Severities

Road departure (RD) crashes are among the most severe crashes that can result in fatal or serious injuries, especially when involving large trucks. Most previous studies neglected to incorporate both roadside and median hazards into large-truck RD crash severity analysis. The objective of this study was to identify the significant factors affecting driver injury severity in single-vehicle RD crashes involving large trucks. A random-parameters ordered probit (RPOP) model was developed using extensive crash data collected on roadways in the state of Kentucky between 2015 and 2019. The RPOP model results showed that the effect of local roadways, the natural logarithm of annual average daily traffic (AADT), the presence of median concrete barriers, cable barrier-involved collisions, and dry surfaces were found to be random across the crash observations. The results also showed that older drivers, ejected drivers, and drivers trapped in their truck were more likely to sustain severe single-vehicle RD crashes. Other variables increasing the probability of driver injury severity have included rural areas, dry road surfaces, higher speed limits, single-unit truck types, principal arterials, overturning-consequences, truck fire occurrence, segments with median concrete barriers, and roadside fixed object strikes. On the other hand, wearing seatbelt, local roads and minor collectors, higher AADT, and hitting median cable barriers were associated with lower injury severities. Potential safety countermeasures from the study findings include installing median cable barriers and flattening steep roadside embankments along those roadway stretches with high history of RD large-truck-related crashes.

scholarly journals Intraocular Lens Dislocation after Cataract Surgery in Tambolaka, Southwest Sumba, Indonesia: A Case Report

2018 ◽  
Vol 9 (1) ◽  
pp. 179-184
Author(s):  
Ratna Sitompul
Keyword(s):  
Case Report ◽  
Intraocular Lens ◽  
Rural Areas ◽  
Rare Complication ◽  
Cataract Extraction ◽  
Factors Affecting ◽  
Intraocular Lens Dislocation ◽  
Post Surgery ◽  
The Right ◽  
Iol Dislocation

Intraocular lens (IOL) dislocation is a rare complication of cataract extraction requiring prompt surgery. This case report aims to raise awareness of such cases and the importance of post-surgery follow-up. A 58-year-old female patient was found with anterior IOL dislocation a week after phacoemulsification surgery in her right eye. Visual acuity of the right eye was 1/60 with ciliary injection and IOL dislocation to the anterior chamber of the right eye. The patient underwent surgery of the right eye and the IOL haptic was found to be broken. In this case report, the factors affecting IOL dislocation are axis length, broken IOL haptic, and patient activity that increased intraocular pressure. Cataract extraction surgery, although common, needs to be conducted carefully, and it is important for ophthalmologists and general practitioners to detect this condition, especially in rural areas where facilities are limited, as IOL dislocation could occur and requires immediate treatment to achieve a better result.

Credit constraints and labour allocation decisions in rural Burkina Faso

2017 ◽  
Vol 77 (2) ◽  
pp. 257-274 ◽  
Author(s):  
Mohamed Porgo ◽  
John K.M. Kuwornu ◽  
Pam Zahonogo ◽  
John Baptist D. Jatoe ◽  
Irene S. Egyir
Keyword(s):  
Burkina Faso ◽  
Agricultural Production ◽  
Credit Constraints ◽  
Probit Model ◽  
Multinomial Logit Model ◽  
Farm Households ◽  
Content Type ◽  
Labour Market Participation ◽  
On Farm ◽  
Allocation Decisions

Purpose Credit is central in labour allocation decisions in smallholder agriculture in developing countries. The purpose of this paper is to analyse the effect of credit constraints on farm households’ labour allocation decisions in rural Burkina Faso. Design/methodology/approach The study used a direct elicitation approach of credit constraints and applied a farm household model to categorize households into four labour market participation regimes. A joint estimation of both the multinomial logit model and probit model was applied on survey data from Burkina Faso to assess the effect of credit constraint on the probability of choosing one of the four alternatives. Findings The results of the probit model showed that households’ endowment of livestock, access to news, and membership to an farmer-based organization were factors lowering the probability of being credit constrained in rural Burkina Faso. The multinomial logit model results showed that credit constraints negatively influenced the likelihood of a farm household to use hired labour in agricultural production and perhaps more importantly it induces farm households to hire out labour off farm. The results also showed that the other components of household characteristics and farm attributes are important factors determining the relative probability of selecting a particular labour market participation regime. Social implications Facilitating access to credit in rural Burkina Faso can encourage farm households to use hired labour in agricultural production and thereby positively impacting farm productivity and relieving unemployment pressures. Originality/value In order to identify the effect of credit constraints on farm households’ labour decisions, this study examined farm households’ decisions of hiring on-farm labour, supplying labour off-farm or simultaneously hiring on-farm labour and supplying family labour off-farm under credit constraints using the direct elicitation approach of credit constraints. To the best of the authors’ knowledge, this study is the first to examine this problem in Burkina Faso.

An Assessment of Poverty Alleviation Measures and Sustainable Livelihood Capability of Farm Households in Rural China: A Sustainable Livelihood Approach

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1230
Author(s):  
Fang Su ◽  
Nini Song ◽  
Nannan Ma ◽  
Altynbek Sultanalive ◽  
Jing Ma ◽  
...  
Keyword(s):  
Rural Areas ◽  
Poverty Alleviation ◽  
Shaanxi Province ◽  
Theoretical Research ◽  
Farm Households ◽  
Sustainable Livelihood ◽  
Absolute Poverty ◽  
Mountain Area ◽  
Sustainable Livelihood Approach ◽  
The Impact

This paper aims to identify effective mechanisms for government poverty alleviation measures based on the livelihood sustainability of farm households in Southern Shaanxi province, China. The paper utilizes data from 414 farm households, collected through field observations and in-depth interviews in 24 rural communes in Qinba Mountain Area of Shaanxi province, China. Using theoretical research methods and employing the sustainable livelihood approach (SLA) framework, this paper analyzes poverty alleviation measures as well as the impact of varied capital availability on sustainable livelihood. The study shows that developing local industries and governmental financial support improve the sustainable livelihood of farmers and eradicate absolute poverty. The findings of this study further indicate that there is a positive correlation between poverty alleviation measures and natural and social capital for sustainable livelihood. The paper provides empirical and quantitative evidence on alleviation of poverty, and the findings will help improve the sustainability of livelihood capability of farming households. This study suggests impactful approaches to stabilizing mechanisms for poverty alleviation in rural areas over the longer term.

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