scholarly journals Factors Influencing Adoption and Area under Conservation Agriculture: A Mixed Methods Approach

2012 ◽  
Vol 1 (2) ◽  
pp. 27 ◽  
Author(s):  
Progress H. Nyanga
Keyword(s):  
Mixed Methods ◽  
Smallholder Farmers ◽  
Conservation Agriculture ◽  
Negative Influence ◽  
Positive Influence ◽  
Research Strategy ◽  
Farm Size ◽  
Mixed Methods Approach ◽  
Qualitative Approaches ◽  
Factors Influencing

<p>Adoption of conservation agriculture (CA) is quite low in most parts of Africa. However, Zambia has been quite successful in increasing adoption of CA among smallholder farmers. Few studies using both quantitative and qualitative approaches have been conducted in Zambia to determine factors influencing adoption of CA. This study uses mixed methods approach to document factors influencing adoption of CA among smallholder farmers under the Conservation Agriculture Project (CAP) in Zambia. From a random sample of 415 smallholder farmers, results showed that 71% had adopted CA. Quantitative analysis indicated that CA trainings, previous experience in minimum tillage, membership in farmer organisations, and ownership of CA tillage equipment significantly increased the likelihood of CA adoption. Number of CA trainings attended, farm size, number of rippers owned and use of herbicide had a significant positive influence on area under CA. Qualitative approaches showed that good rapport with farmers, trust, reciprocity and altruism, monitoring and evaluations, extension strategy, quality and extent of technical knowledge in CA within CFU, and artificial incentives positively influenced adoption of CA. Traditional leadership was reported to enhance adoption of CA in most cases. Prestige was reported to withhold some men from adopting CA basins. Women were very involved in CA basins while men were mostly involved in ADP ripping. Some worldviews of farmers had negative influence on adoption of CA. Donor support and collaboration with the Zambia National Farmers Union and private sector were other contextual factors for the high adoption of CA among sampled smallholder farmers. In the promotion of CA it is important to pay attention to both quantitative and qualitative factors influencing adoption. A mixed methods approach thus can lead to a better understanding of the adoption of CA than a single research strategy approach.</p>

Factors Influencing Smallholder Farmers in Supplying Organic Fruits and Vegetables to Supermarket Supply Chains in Karnataka, India

2017 ◽  
Vol 13 (1) ◽  
pp. 85-107 ◽  
Author(s):  
Ravi Nandi ◽  
Nithya Vishwanath Gowdru ◽  
Wolfgang Bokelmann
Keyword(s):  
Supply Chains ◽  
Transaction Costs ◽  
Fruits And Vegetables ◽  
Smallholder Farmers ◽  
Negative Influence ◽  
Positive Influence ◽  
Binary Logistic Regression Model ◽  
Managerial Implication ◽  
Factors Influencing ◽  
Organic Farmers

Organic farmers are facing problems in finding the right buyers, resulting in high transaction costs (TCs). This study considers the integration of smallholder organic farmers in vertically coordinated supply chains and factors influencing them. The article draws transaction costs economics (TCE) to develop a model explaining potential TC attributes influencing farmer’s decision to participate in supermarket supply chains (SMSC) compared to spot market (SM) in Karnataka, India. This article uses data collected from 127 smallholder organic farmers through face-to-face interviews to identify factors that significantly influence the farmer’s decision. A binary logistic regression model was employed within the TC framework. Seven TC attributes were evaluated on farmer’s decision. The results revealed that farmers have a strong marketing preference towards SMSC. Attributes such as pre-arranging price, quantity, frequency, and access to market information and finance have significant positive influence on farmer’s decision to participate in SMSC. However, attribute payment mechanism has a negative influence. Furthermore, there are significant differences between SMSC and SM supplying groups with reference to variables distance to the market, the general state of the road and age. The results have a policy and managerial implication towards the development of organic food market in the Karnataka state, India.

scholarly journals Factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya

2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Moses Muchangi Njiru ◽  
Hezron Ruzungu Mogaka ◽  
Samuel Njiiri Ndirangu ◽  
Bernard Mukiri Gichimu
Keyword(s):  
Negative Influence ◽  
Positive Influence ◽  
Sampling Procedure ◽  
Farm Size ◽  
Small Scale ◽  
Factors Influencing ◽  
Improved Cultivars ◽  
Small Scale Farmers ◽  
Multistage Sampling ◽  
Market Distance

The study investigated the factors influencing adoption of improved cultivars of macadamia (Macadamia spp.) among small-scale farmers in Embu County, Kenya. Data was collected from a sample of 384 small-scale farmers obtained through multistage sampling procedure in ten sub-locations. Binary Logit model was used to determine the effect of selected institutional and socio-economic factors on adoption of improved cultivars of macadamia. The results revealed that education level (wald=26.160), access to extension services (wald=6.246) and farm size (wald=4.271) had significant positive influence on adoption of improved cultivars of macadamia while age of the farmer (wald=5.235) and market distance (wald=5.519) had a negative influence on the same. There is need to encourage the youth to embrace macadamia farming and to develop smart marketing strategies to promote adoption of improved cultivars.

scholarly journals Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach

2017 ◽  
Vol 7 (4) ◽  
pp. 27 ◽  
Author(s):  
Martin Paul Jr. Tabe-Ojong ◽  
Ernest L. Molua
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Research Question ◽  
Stochastic Frontier ◽  
Negative Influence ◽  
Farm Size ◽  
Primary Data ◽  
Tomato Production ◽  
Frontier Analysis

Agriculture is the mainstay of Cameroon’s economy as it serves the purposes of food, livelihood and employment. Nevertheless, the country’s agriculture is plagued by low productivity and inefficiency in production. One of the main reasons for low productivity is the inability of farmers to fully exploit available technologies and production techniques. An important research question that comes to mind is, what are the major factors that hinder the technical efficiency of smallholder farmers? This study thus aimed to determine the level of technical efficiency in the production of tomato in smallholder farms, relying on primary data collected using a structured survey instrument administered to 80 tomato farmers in the Buea municipality of Cameroon. Data was analyzed using descriptive statistics and a stochastic frontier analysis method in the Cobb-Douglas production function. The STATA.14 software was used to obtain both stochastic frontier estimates and the determinants of technical efficiency. The results indicate that farmers are not fully technically efficient with a mean technical efficiency score of 0.68 with one farmer operating on the frontier. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. The older farmers were observed with the best measures of technical efficiency. Education, age and the adoption and practice of agronomic techniques had a positive and significant influence on technical efficiency while the nearest distance to the extension agent had a rather negative influence on technical efficiency. The input-output relationship showed that the area of tomato cultivation and the quantity of improved seed used were positive and significantly related to output at the 5% level of probability. As a result, it is recommended that farmers should increase their farm size, use of improved seeds and the adoption and practice of novel techniques in production. More emphasis should be placed on extension agents as they have a significant role to play in terms of improving and augmenting farmers’ education and information base through on farm demonstrations and result oriented workshops as all this will ensure increased production and productivity thereby increasing technical efficiency and achieving food self-sufficiency.

Combining Quantitative and Qualitative Approaches to Social Research in Human Geography—An Impossible Mixture?

1998 ◽  
Vol 30 (2) ◽  
pp. 261-276 ◽  
Author(s):  
L J Philip
Keyword(s):  
Mixed Methods ◽  
Qualitative Methods ◽  
Social Research ◽  
Human Geography ◽  
Multiple Methods ◽  
Mixed Methods Approach ◽  
Qualitative Approaches ◽  
Similarities And Differences ◽  
The Relationship ◽  
Quantitative And Qualitative Methods

The author addresses the potential of a multiple-methods approach in human geography, an approach to social research which has received little explicit attention in the geographical literature to date. The relationship between epistemology and methodology is outlined, and the similarities and differences between quantitative and qualitative methods are described. Some problems surrounding subjectivity and objectivity in social research are also discussed. In addition, the relationship between methods and to whom the research is communicated is considered. It is hoped that the paper will stimulate future discussion both of the theoretical implications and of the practical use of a mixed-methods approach in human geography.

scholarly journals What Are the Most Important Factors Influencing Springtail Tetrodontophora bielanensis?

Insects ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 858
Author(s):  
Strahinja Mladenović ◽  
Jan Materna ◽  
Tereza Brestovanská ◽  
Jakub Horák
Keyword(s):  
Spatial Distribution ◽  
Czech Republic ◽  
Negative Influence ◽  
Positive Influence ◽  
Cold Climate ◽  
The Czech Republic ◽  
Soil Layers ◽  
Factors Influencing ◽  
Main Factors ◽  
Landscape Level

The springtail, Tetrodontophora bielanensis, dwells in the litter and upper soil layers. This arthropod mainly inhabits humid litter and soil and prefers a cold climate. We determined the main factors influencing this springtail in forests at the landscape level in Krkonoše and site level in Orlické hory in the Czech Republic. We used passive trunk-tree traps. These traps are highly effective for sampling flightless fauna. We used 128 traps in Krkonoše and 17 traps in Orlické hory. The springtail was significantly positively influenced by the presence of Norway spruce (Picea abies) at the landscape level. Springtails’ abundance was, furthermore, influenced by the spatial distribution of the sampling sites. The negative influence of bark coverage and the presence of fungi, and positive influence of an increasing dimension of trees were significant at the site level. We argue for a more diversified management of mountainous forests with respect to forest history. This appears to be also important for mountainous forests in protected areas.

scholarly journals Faktor-Faktor yang Mempengaruhi Investment Decision pada Investasi Properti di Kota Batam

SKETSA BISNIS ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 19-33
Author(s):  
Dewi Khornida Marheni ◽  
Anmelrina
Keyword(s):  
Sampling Method ◽  
Investment Decision ◽  
Negative Influence ◽  
Positive Influence ◽  
Primary Data ◽  
Multiple Linear Regressions ◽  
Purposive Sampling ◽  
Factors Influencing ◽  
Regret Aversion ◽  
Linear Regressions

Abstract This paper aims to examine factors influencing investment decision in properties in Batam. The intended factors are anchoring, overconfidence, herding, and regret aversion. Purposive sampling method were used in this paper to take samples. 330 questionnaires were distributed to property investors in Batam, but only 246 questionnaires or around 74.54% datas were used to be primary data in generating the analysis which will be calculated using multiple linear regressions by SPSS version 24 software. Among the various factors, the results revealed that anchoring, overconfidence, and regret aversion have significantly positive influence towards property investment decision in Batam. Regret aversion has significantly negative influence towards property investment decision in Batam. This paper can be useful for investors, especially those investing in property sector in Batam..   Keywords: investment decision, anchoring, overconfidence, herding, regret aversion, property.   Abstrak Penelitian ini bertujuan unuk mengetahui faktor anchoring, overconfidence, herding, dan regret aversion dapat memberikan kepengaruhan terhadap investment decision properti di Batam. Metode purposive sampling dipilih oleh peneliti untuk mengambil sampel yaitu dengan teknik yang sudah ditentukan terlebih dahulu berdasarkan maksud dan tujuan penelitian Dari 330 kuesioner yang didistribusikan secara langsung kepada investor properti di Batam, peneliti mendapatkan 246 kuesioner atau sebesar 74.54% data yang layak diolah dan dijadikan sebagai data utama untuk dihitung serta dianalisa menggunakan regresi linier berganda melalui software SPSS versi 24.. Hasil yang disimpulkan dari analisa penelitian adalah anchoring, overconfidence dan herding memiliki signifikansi positif terhadap investment decision properti di Batam. Regret aversion memiliki signifikansi negatif terhadap investment decision properti di Batam. Penelitian ini dapat membantu investor dalam mengambil keputusan investasi properti khususnya di Batam Kata Kunci: Keputusan investasi, anchoring, overconfidence, herding, regret aversion, property.

scholarly journals Factors influencing the adoption of conservation agriculture practices among smallholder farmers in Mozambique

2020 ◽  
Vol 7 (3) ◽  
pp. 277-291 ◽  
Author(s):  
Oscar Chichongue ◽  
Andre Pelser ◽  
Johan V. Tol ◽  
Chris Du Preez ◽  
Gert Ceronio
Keyword(s):  
Cell Phone ◽  
Smallholder Farmers ◽  
Soil Health ◽  
Conservation Agriculture ◽  
Positive Influence ◽  
Site Specific ◽  
Cover Cropping ◽  
Ecological Regions ◽  
Health Decline ◽  
Female Headed Households

This study aimed to identify the factors that influence smallholder farmers’ decisions to adopt four different conservation agriculture (CA) practices (i.e. minimum tillage, intercropping, cover cropping and crop rotation) in Mozambique. A non-probability sampling approach, incorporating both purposive and accidental sampling types, was followed. Three agro-ecological regions, followed by four provinces, were purposely selected. In addition, Accidental sampling was used to select 616 smallholder farmers from 38 communities in the three agro-ecological regions where CA projects were historically implemented by several NGO institutions. A questionnaire was administered to the 616 selected smallholder farmers. A descriptive logit model was applied in STATA to determine the probability of respondents adopting CA practices. The findings show that 44.6% of smallholder farmers adopted one or more of the CA practices, and 55.4% did not. It was also clear that most farmers did not adopt all components CA. Results obtained revealed that household size, animal ownership, communication assets (such as television, radio, and cell phone) and group membership had a positive influence on CA adoption. Interestingly, female-headed households were more likely to adopt CA. Awareness of soil health decline is an important factor determining adoption. The study concluded that the reasons for adoption are site-specific and a ‘blanket approach’ to promote adoption of CA is unlikely to be successful.

scholarly journals Adoption of Intercropping Practices by the Cotton Farmers in Mancherial District of Telangana State

2021 ◽  
pp. 46-52
Author(s):  
Shivakrishna Kota ◽  
M. Rajeshwar Naik ◽  
R. Uma Reddy ◽  
I. Thirupathi
Keyword(s):  
Food Production ◽  
Crop Production ◽  
Negative Influence ◽  
Positive Influence ◽  
Farm Size ◽  
Beneficial Effects ◽  
Climatic Variations ◽  
Education Status ◽  
Cotton Farmers ◽  
New Generation

World food production shortages and estimates in the supplies of the future have promptly increased the interest in the adoption of improved crop production activities and increased the food production and helps to cope with the threats of climatic variations and food security. Intercropping is a method that efficiently uses the space and time of cultivation. In this concept of cotton-based intercropping with pulses, where cotton yields are more along with additional survivable returns to the farmers from other crops. Though the concept has beneficial effects, but the adoption of intercropping in cotton by the farmers is low due to lack of clarity about the concept of intercropping. The present study mainly focused on estimating and clarifying the decision of the farmers on the adoption and non-adoption of intercropping in cotton and the benefits of the intercropping practices by the cotton farmers in developing the conceptual framework. Logistic regression model was used to present an econometric analysis of the diffusion process. The results from the present study revealed that variables like farm size, education status and exposure to extension service and capital were statistically significant at 1% level and showing a positive influence on the adoption of intercropping in cotton. Whereas age, farming experience was statistically significant at 1% level and showing the negative influence on the adoption of intercropping in cotton and yield is the other variable showing the negative influence on the intercropping. Further, in the extension systems more stress is need upon the capacity building of the farmers for optimum harnessing of the benefits of new generation technologies in cotton cultivation.

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