scholarly journals A typology of corporate and family dairy farms in eastern Goiás, Brazil

2020 ◽  
Vol 50 (10) ◽  
Author(s):  
Bruna Sesco de Mendonça ◽  
Ferenc Istvan Bánkuti ◽  
Magali Soares dos Santos Pozza ◽  
Henrique Leal Perez ◽  
Tiago Teixeira da Silva Siqueira
Keyword(s):  
Principal Component ◽  
Dairy Farms ◽  
Sociodemographic Characteristics ◽  
Factor Scores ◽  
Family Farms ◽  
Production Scale ◽  
Hygiene Practices ◽  
Corporate Farms ◽  
Farm Operators ◽  
Structured Questionnaire

ABSTRACT: This study aimed to identify a typology of corporate and family dairy farms in eastern Goiás, Brazil. A semi-structured questionnaire was administered to 170 farm operators in the municipalities of Cristalina, Luziânia, and Silvânia. Dairy farms were categorized into two groups, corporate and family farms. Data were analyzed by exploratory factor analysis using principal component analysis extraction. Four factors were identified: Milking management (F1), Production scale (F2), Productivity (F3), and Sociodemographic characteristics (F4). Corporate and family farms were then compared in terms of factor scores. Corporate farms scored higher on F1 and F2 and were characterized by larger production scale, greater adoption of milking management and hygiene practices; and consequently, greater alignment with institutional and market demands. These results indicated that corporate dairy farms in eastern Goiás have higher sustainability and are more likely to remain in business than family dairy farms.

scholarly journals COVID-19 Pandemic and Adaptive Shopping Patterns: An Insight from Indonesian Consumers

2021 ◽  
pp. 097215092110135
Author(s):  
Arif Hartono ◽  
Asma'i Ishak ◽  
Agus Abdurrahman ◽  
Budi Astuti ◽  
Endy Gunanto Marsasi ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Demographic Characteristics ◽  
Depth Information ◽  
Factor Scores ◽  
Consumer Spending ◽  
Consumer Responses ◽  
Buying Behaviour ◽  
Manova Analysis

Although existing studies on consumers typology are extensively conducted, insights on consumers typology in adapting their shopping attitude and behaviour during the COVID-19 pandemic remain unexplored. Current studies on consumer responses to the COVID-19 pandemic tend to focus on the following themes: panic buying behaviour, consumer spending and consumer consumption. This study explores a typology of adaptive shopping patterns in response to the COVID-19 pandemic. The study involved a survey of 465 Indonesian consumers. Principal component analysis is used to identify the variables related to adaptive shopping patterns. Cluster analysis of the factor scores obtained on the adaptive shopping attitude and behaviour revealed the typology of Indonesian shoppers’ adaptive patterns. Multivariate Analysis of Variance (MANOVA) analysis is used to profile the identified clusters based on attitude, behaviour and demographic characteristics. Results revealed five adaptive shopping patterns with substantial differences among them. This study provides in-depth information about the profile of Indonesian shoppers’ adaptive patterns that would help retailers in understanding consumers and choosing their target group. The major contribution of this study is providing segmentation on shopping adaptive patterns in the context of the COVID-19 pandemic which presents interesting differences compared with previous studies. This study reveals new insights on shoppers’ adaptive attitude and behaviour as consumers coped with the pandemic.

scholarly journals The trends in efficiency of Lithuanian dairy farms: a semiparametric approach

2015 ◽  
Vol 37 (2) ◽  
pp. 167-178 ◽  
Author(s):  
Tomas Baležentis ◽  
Tianxiang Li ◽  
Alvydas Baležentis
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Dairy Farms ◽  
Random Coefficients ◽  
Family Farms ◽  
Frontier Analysis ◽  
Semiparametric Approach ◽  
Farm Accountancy Data Network ◽  
Development Paths

This study aims at analysing the trends in efficiency of Lithuanian dairy farms and thus identifying the prospective development paths. The semiparametric approach based on nonparametric regression and Stochastic Frontier Analysis is applied for the analysis. The research relies on Farm Accountancy Data Network and covers family farms. The period of 2004–2011 is considered. In order to identify the underlying trends in dairy farming, we focus on such features as technical efficiency, partial elasticities, and elasticity of scale. The semiparametric approach yielded rather high efficiencies. Specifically, the average technical efficiency of 89% was observed. A decline in technical efficiency during 2004–2011 is present for both point estimates and associated bounds of the confidence interval. Analysis of the elasticity of scale implies that most of the farms could still increase their scale of operation. The obtained results were confirmed by a parametric random coefficients model.

SOURCES OF FINANCING AGRICULTURAL ACTIVITIES IN DAIRY FARMS WITH DIFFERENT SCALES OF COW REARING

2021 ◽  
Vol XXIII (2) ◽  
pp. 75-86
Author(s):  
Łukasz Łuniewski ◽  
Barbara Gołębiewska
Keyword(s):  
Dairy Farms ◽  
Raw Material ◽  
Agricultural Activities ◽  
Purchase Price ◽  
Family Farms ◽  
Dairy Farmers ◽  
The Subject ◽  
Commercial Loans ◽  
Made In ◽  
Do So

The aim of the research was to evaluate the sources of financing agricultural activities in farms specialized in milk production. The subject of research was a group of family farms located in the Podlaskie and Mazowieckie voivodeships (provinces). The criterion for farm division was the number of cows in the basic herd. There was also an assessment of the most important factors conducive to the development of dairy farms. To do so, the opinions of dairy farmers were used, and their views in this regard were expressed on a five-point Likert scale. The research was conducted on a sample of 100 farms in 2021. The interpretation of the results was made in relation to the criterion adopted in the division of farms into quartiles. It was found that the main source of financing activities in dairy farms was own funds. The highest share of farms using commercial loans was in the group of farms with the largest number of cows. With an increase in the number of cows in a herd, the area of farms increased, which is understandable due to the need to produce roughage. The most important factors influencing the development possibilities of agricultural holdings were the uninterrupted collection of raw material and a stable milk purchase price, which guaranteed the farmers’ financial liquidity.

Aggregate Efficiency Dynamics in Lithuanian Dairy Farms

2021 ◽  
Vol 70 (4) ◽  
pp. 251-264
Author(s):  
Tomas Balezentis ◽  
Giannis Karagiannis
Keyword(s):  
Decision Making ◽  
Structural Changes ◽  
Dairy Farms ◽  
Family Farms ◽  
Efficiency Change ◽  
Empirical Application ◽  
Level Data ◽  
Covariance Term ◽  
Large Farms ◽  
Decision Making Units

In this paper, we attempt to identify the major groups of decision making units (dairy farms) contributing to the aggregate efficiency change. We also suggest identifying influential peers in order to gain more insights into possible development strategies within a sector. The empirical application focuses on specialist dairy farms in Lithuania. The farm-level data cover the period 2004-2016. The results indicate the presence of structural changes and resulting shifts in the aggregate efficiency. Based on the results of decomposition of the covariance term and identification of the influential peers, two models can be followed by Lithuanian dairy farms, namely “pure” family farms with lower operational scale and large farms involving hired labour.

scholarly journals Soil Factors Related to the Severity of Clubroot in Rio de Janeiro, Brazil

Plant Disease ◽  
2017 ◽  
Vol 101 (8) ◽  
pp. 1345-1353 ◽  
Author(s):  
Aline da S. Bhering ◽  
Margarida G. F. do Carmo ◽  
Talita de S. Matos ◽  
Erica S. A. Lima ◽  
Nelson M. B. do Amaral Sobrinho
Keyword(s):  
Rio De Janeiro ◽  
Principal Component ◽  
Inoculum Potential ◽  
Family Farms ◽  
Tropical Regions ◽  
Soil Attributes ◽  
Brassica Spp ◽  
History Of ◽  
Chemical Conditions ◽  
Physical And Chemical

Soil pH and calcium levels are determining factors in the success or failure of managing clubroot during the cultivation of Brassica spp. The aim of the present study was to evaluate the influence of soil attributes in tropical regions on the development of roots and clubroot and the accumulation of biomass and nutrients in cauliflower. One hundred and fifty-one samples of soil and plants were collected from 16 family farms that have a history of more than 50 years of regular cauliflower cultivation in Nova Friburgo, Rio de Janeiro, Brazil. Chemical and physical analyses were performed on the soil samples, and the severity of clubroot and the accumulation of biomass and macronutrients in individual plants and plant tissues. Clustering and main principal component analyses were performed on the data. The disease occurred on all farms, but with different intensities. A direct relationship was observed for the soil attributes (acidity and exchangeable aluminum content in particular) with the percentage of roots with clubroot and with the accumulation of biomass and macronutrients in the different plant organs. To reduce losses from clubroot in weathered soils, practices should aim to reduce the pathogen’s inoculum potential and improve the physical and chemical conditions of the soil, which would favor root development of the plants.

Maternal Knowledge and Practices towards Sanitation and Their Relationships with Occurrence of Diarrhoea in Children

2014 ◽  
Vol 3 (3) ◽  
pp. 206 ◽  
Author(s):  
Shriya Ankit Seksaria ◽  
Mini K Sheth
Keyword(s):  
Cross Sectional Study ◽  
Personal Hygiene ◽  
Food Hygiene ◽  
Maternal Knowledge ◽  
Cross Sectional ◽  
The Past ◽  
Hygiene Practices ◽  
Childhood Morbidity ◽  
The Mean ◽  
Structured Questionnaire

<p>Diarrhoea, a major contributor of childhood morbidity and mortality is mostly caused by poor hygiene and sanitation. Literature reveal that hygiene practices at household levels greatly affects the occurrence of diarrhoea among children. A cross sectional study was conducted to determine association between hygiene knowledge and practices of mothers with occurrence of diarrhoea in young children below 3 years in the tribal villages of Gujarat. Structured questionnaire was used to elicit information on personal hygiene (PH), food Hygiene (FH), and environmental Hygiene (EH) practices of 536 mothers with children between 6-36 months of age. Past one month diarrhoeal episodes were recorded using the recall method. The mean percent scores for FH, PH and EH practices were 77%, 88% and 80% respectively. Almost 35% children suffered from diarrhoea in the past one month of which 10 were admitted to the hospital. Diarrhoeal incidences were associated with FH and EH practices (p&lt;0.001) and not with PH practices. Improvement in the environmental and personal hygiene practices of the mothers can contribute largely in reducing the prevalence of diarrhoea among children in Chikhli taluka of Gujarat.</p>

Appraisal of stakeholders' willingness to adopt construction 4.0 technologies for construction projects

2020 ◽  
Vol 10 (4) ◽  
pp. 547-565 ◽  
Author(s):  
Temidayo Oluwasola Osunsanmi ◽  
Clinton Ohis Aigbavboa ◽  
Ayodeji Emmanuel Oke ◽  
Muredini Liphadzi
Keyword(s):  
South Africa ◽  
Construction Industry ◽  
Construction Projects ◽  
Survey Design ◽  
Principal Component ◽  
Sampling Technique ◽  
Design Management ◽  
Content Type ◽  
Willingness To Adopt ◽  
Structured Questionnaire

PurposeConstruction 4.0 technology has the capabilities for improving the design, management, operations and decision making of construction projects. Therefore, this study aimed at examining the willingness of construction professionals towards adopting construction 4.0 technologies.Design/methodology/approachThe study adopts a survey design, and construction professionals in South Africa are assessed using a convenience sampling technique through a structured questionnaire. The questionnaire was analysed with SPSS while statistical test like; mean score, t-test and principal component analysis was used to present the data.FindingsThe findings, from the analysis, revealed that the construction professionals are willing to adopt construction 4.0 technologies for construction project. However, the possibility of fully integrating the technologies into the construction industry is low. This is because the major technologies such as; Internet of things, robotics, human-computer interaction and cyber-physical systems that encourage smart construction site are rated as not important by the construction professionals.Practical implicationsIt is believed that the findings emanating from this study will serve as an indicator for investors that are interested in procuring construction 4.0 technologies for the construction industry.Originality/valueThis paper presents a framework for the application of construction 4.0 technologies for the construction industry. It also contributes to the development of digitalising construction industry in South Africa.

Neuropsychological asymmetry in Alzheimer's disease: Verbal versus visuoconstructional deficits across stages of dementia

1997 ◽  
Vol 3 (5) ◽  
pp. 420-427 ◽  
Author(s):  
DANIEL STRITE ◽  
PAUL J. MASSMAN ◽  
NORMA COOKE ◽  
RACHELLE S. DOODY
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Principal Component ◽  
Neuropsychological Deficits ◽  
Principal Component Factor Analysis ◽  
Factor Scores ◽  
Lateral Asymmetry ◽  
Mild Dementia ◽  
Component Factor

The incidence of clinically apparent asymmetric profiles of neuropsychological deficits in Alzheimer's disease (AD) patients similar to those reported in the PET literature is currently unclear. This study investigated lateral neuropsychological asymmetry using principal component factor analysis in a sample of 153 patients diagnosed with probable AD. Using factor scores, patients were classified into groups exhibiting asymmetric or symmetric profiles of neuropsychological deficits. In the analysis of lateral asymmetry, 27.5% of patients were classified as asymmetric (10% verbally and 17% visuospatially). Consistent with reports of continued asymmetry beyond the mild dementia stage, asymmetry was exhibited in the mild, moderate, and severely demented groups. These findings of neuropsychological asymmetry across stages of dementia are consistent with the picture of significant neuropsychological heterogeneity in AD that has been emerging in the decade. (JINS, 1997, 3, 420–427.)

scholarly journals Micro-economic analysis of farm restructuring in Central and Eastern Europe: an overview of major results

2012 ◽  
Vol 48 (No. 5) ◽  
pp. 189-196
Author(s):  
E. Mathijs
Keyword(s):  
Economic Analysis ◽  
Eastern Europe ◽  
Rural Areas ◽  
Central And Eastern Europe ◽  
Family Farms ◽  
The Czech Republic ◽  
Production Sector ◽  
Economic Decisions ◽  
Farm Operators ◽  
The Eu

The aim of this paper is to summarize the results of the EU Phare ACE research project P97-8158-R, &ldquo;Micro-economic analysis of farm restructuring in Central and Eastern Europe&rdquo;, that tries to fill the gap of theoretical as well as empirical research into the implications of continuing and evolving farm restructuring in CEECs on the efficiency of the agricultural production sector and the development of rural areas by focusing on the economic decisions and perspectives of farm operators, asset owners and rural households. For this purpose, surveys among family farms and farm enterprises were carried out in 2000 in Albania, the Czech Republic and Slovakia.

Microgeographic genetic variation of Sitka spruce in southeastern Alaska

1989 ◽  
Vol 19 (8) ◽  
pp. 1004-1013 ◽  
Author(s):  
Robert K. Campbell ◽  
William A. Pawuk ◽  
Arland S. Harris
Keyword(s):  
Genetic Variation ◽  
Standard Deviation ◽  
Principal Components ◽  
Principal Component ◽  
Extreme Case ◽  
Common Garden ◽  
Sitka Spruce ◽  
Slope Aspect ◽  
Factor Scores ◽  
Additive Genetic Variation

Microgeographic genetic variation among populations of Sitka spruce on Mitkof Island in southeastern Alaska is described. In two common-garden environments, we evaluated genotypes of 208 parent trees from 114 locations in a 17 000-ha area. Two principal components accounted for most of the variation among locations in 11 traits measured to evaluate growth vigor and rhythm of 2-year-old seedlings. Regression analyses of factor scores derived from principal components revealed genetic gradients associated with elevation, slope, aspect, and west–east and north–south direction. Large amounts of additive genetic variation in factor scores occurred among trees within locations. When this variation within locations was used as a scale, variation among locations was also large. In an extreme case, locations differed in factor scores of the first principal component by about 3.0 units of the standard deviation of additive genetic variation in factor scores. Of the total differentiation in this case, elevational range (600 m) contributed 0.7 units of standard deviation, aspect contributed 0.9 units, and distance (16 km) from north central to southeastern parts of the island contributed 1.4 units.

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