scholarly journals Factors affecting rearing practices and health of calves on family farms

2021 ◽  
Vol 19 (1) ◽  
pp. e0501
Author(s):  
Renata Relic ◽  
Nada Lakic ◽  
Ljiljana Jankovic ◽  
Vesna Davidovic ◽  
Joze Staric ◽  
...  
Keyword(s):  
Drinking Water ◽  
Significant Influence ◽  
Farm Size ◽  
Family Farms ◽  
Prevention Strategies ◽  
Cattle Farm ◽  
Factors Affecting ◽  
Farm Productivity ◽  
Poor Management ◽  
Calf Rearing

Aim of the study: Calf rearing practices vary in different countries and may be affected by many factors. Poor management is related to diseases outbreak and death in calves. This study aimed to analyze practices in calf rearing and the occurrence of common calf diseases on family farms in two European countries and to examine the characteristics of a farmer and his farm as factors that may affect the way of performing practices related to calves’ health.Area of study: Slovenia and Serbia.Material and methods: For collecting data, the same questionnaire-based survey was distributed among cattle farm owners in Slovenia and Serbia.Main results: The following factors showed a significant influence (p<0.05) on certain rearing practices: farm size (on time for checking calves, milk reheating, and providing rehydration fluids to the calf with diarrhea in Slovenia), specialization of the production (on preventive antiparasitic treatments and restriction of drinking water for calves with diarrhea in Slovenia, and the time for checking calves in Serbia), breeder’s age (on colostrum quality checking in Slovenia), and breeder’s education (on time for checking calves and checking colostrum quality in Serbia). The results pointed out the rearing practices to be improved in both countries, Slovenia and Serbia, such as colostrum management and prevention strategies of calf diseases.Research highlights: Characteristics of the farmer and his farm may affect many aspects of calves’ rearing. Continuous education of farmers and appropriate production planning can contribute to better farm productivity and better health and welfare of calves.

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

scholarly journals Factors Affecting Adaptation to Climate Change through Agroforestry in Kenya

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi
Keyword(s):  
Climate Change ◽  
Total Yield ◽  
Policy Formulation ◽  
Farm Size ◽  
Farm Income ◽  
Adaptation To Climate Change ◽  
Maize Crop ◽  
Factors Affecting ◽  
Agroforestry Technology ◽  
Agroforestry Technologies

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.

scholarly journals Structural Changes in Israeli Family Farms: Long-Run Trends in the Farm Size Distribution and the Role of Part-Time Farming

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 518
Author(s):  
Ayal Kimhi ◽  
Nitzan Tzur-Ilan
Keyword(s):  
Size Distribution ◽  
Structural Changes ◽  
Farm Size ◽  
Farm Income ◽  
Higher Moments ◽  
Full Time ◽  
Family Farms ◽  
Income Sources ◽  
Part Time ◽  
The Mean

Israeli agriculture has experienced rapid structural changes in recent decades, including the massive exit of farmers, a resulting increase in average farm size, a higher farm specialization and a higher reliance on non-farm income sources. The higher farm heterogeneity makes it necessary to examine changes in the entire farm size distribution rather than the common practice of analyzing changes in the average farm size alone. This article proposes a nonparametric analysis in which the change in the distribution of farm sizes between two periods is decomposed into several components, and the contributions of subgroups of farms to this change are analyzed. Using data on Israeli family farms, we analyze the changes in the farm size distribution in two separate time periods that are characterized by very different economic environments, focusing on the different contributions of full-time farms and part-time farms to the overall distributional changes. We found that between 1971 and 1981, a period characterized by stability and prosperity, the farm size distribution has shifted to the right with relatively minor changes in higher moments of the distribution. On the other hand, between 1981 and 1995, a largely unfavorable period to Israeli farmers, the change in the distribution was much more complex. While the overall change in the size distribution of farms was smaller in magnitude than in the earlier period, higher moments of the distribution were not less important than the increase in the mean and led to higher dispersion of farm sizes. Between 1971 and 1981, the contributions of full- and part-time farms to the change in the size distribution were quite similar. Between 1981 and 1995, however, full-time farms contributed mostly to the growth in the average farm size, while the average farm size among part-time farms actually decreased, and their contribution to the higher dispersion of farm sizes was quantitatively larger. This highlights the need to analyze the changes in the entire farm size distribution rather than focusing on the mean alone, and to allow for differences between types of farms.

scholarly journals Investigating Influence of Trust on Repurchasing by Mediating Role of Customer Satisfaction in Online Stores

2016 ◽  
Vol 10 (6) ◽  
pp. 126
Author(s):  
Abolfazl Akhondi ◽  
Azar Kafashpor
Keyword(s):  
Customer Satisfaction ◽  
Significant Influence ◽  
Direct Influence ◽  
Factors Affecting ◽  
Mediating Role ◽  
Cronbach's Alpha ◽  
Indirect Influence ◽  
Online Stores ◽  
Development Center

Analyzing and investigating factors affecting trust and satisfaction creation and providing condition for creating these factors by online stores help them to perceive customers’ needs and lead to increasing loyalty level, intention for repurchasing and improving profitability level. Therefore, this paper investigates influence of trust on repurchasing by mediating role of customer satisfaction. Population of this paper were customers of online stores which have 2-star electronic trust symbol on the base of E-trade development center (Note 1) ranking and had shopping more than once. Data were gathered from 267 samples of customers by availability method and questionnaire tool and its reliability was confirmed by Cronbach's alpha with 82%. Considering analyzing data by SEM on LIZERAL software, findings show that trust has positive and significant influence on repurchasing and indirect influence of trust on repurchasing by mediating role of customers satisfaction is more than its direct influence which confirms mediating role of customers’ satisfaction.

scholarly journals Risk Assessment for the Selected Surface Water Intake

2020 ◽  
Vol 50 (4) ◽  
pp. 147-163
Author(s):  
Dawid Szpak ◽  
Janusz R. Rak ◽  
Krzysztof Boryczko ◽  
Izabela Piegdoń ◽  
Jakub Żywiec
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Drinking Water ◽  
Surface Water ◽  
Water Intake ◽  
Security Measures ◽  
Efficient System ◽  
Factors Affecting ◽  
Risk Definition ◽  
Water Supply Company

AbstractThe purpose of the work is to analyze the risk for surface water intake, taking into account factors affecting the water quality. A three-parameter risk definition was proposed. It was found that the analyzed water intake has an efficient system that protects consumers against drinking water of inadequate quality (multibarier system). The task of the water supply company is to maintain its security measures (including a caution and warning station, biomonitoring) in a state of efficiency.

scholarly journals Factors Affecting Commercial Banks Profitability in Pakistan

2021 ◽  
Vol 3 (1) ◽  
pp. 1-22
Author(s):  
DR. MUMTAZ HUSSAIN SHAH ◽  
SAJJAD KHAN
Keyword(s):  
Regression Analysis ◽  
Significant Influence ◽  
Commercial Banks ◽  
Significant Contribution ◽  
Annual Reports ◽  
Return On Assets ◽  
Factors Affecting ◽  
Economic Progress ◽  
Relevant Factors ◽  
Yearly Data

Due to significant contribution of commercial banks in the economic progress of Pakistan, this research has been carried out to analyse the possible effect of different relevant factors on the profitability of commercial banks in the country. Profitability is measured by return on assets (ROA). Using pooled regression analysis on yearly data collected from the annual reports for a panel of 14 commercial banks for eight years from 2007 to 2014, it was found that equity to assets, debts to assets, deposits to assets, bank size and assets management have a significant influence on the commercial banks profitability in Pakistan.

Happiness and farm productivity: insights from maize farmers in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wanglin Ma ◽  
Puneet Vatsa ◽  
Xiaoshi Zhou ◽  
Hongyun Zheng
Keyword(s):  
Process Model ◽  
Agricultural Development ◽  
Well Being ◽  
Farm Size ◽  
Subjective Well Being ◽  
Firm Level ◽  
Content Type ◽  
Maize Productivity ◽  
Farm Productivity ◽  
The Impact

PurposeThe purpose of this study is to explore the relationship between farmers' happiness and farm productivity, taking maize production in China as an example.Design/methodology/approachThe conditional mixed process model is employed to account for the endogeneity that inevitably arises in regression models studying happiness and estimate the 2015 China Household Finance Survey data.FindingsThe empirical results show that a higher level of farmers' happiness is associated with higher maize productivity. The marginal return in maize productivity changes unevenly with increments in farmers' self-reported happiness on a five-point Likert scale. Farmers' happiness is positively determined by their age, educational level, farm size, machinery ownership, access to agricultural subsidy and car ownership. Machinery ownership and access to credit are two important factors that improve maize productivity.Research limitations/implicationsThe finding suggests that promoting the subjective well-being of farmers is conducive to higher productivity and improved national food security. The results have implications for China and other developing countries aiming for sustainable agricultural development.Originality/valueFirm-level data show that workers' happiness improves productivity. However, it is still unclear whether farmworkers' happiness affects farm productivity. Thus, this study provides the first empirical analysis of the impact of farmworkers' happiness on farm productivity.

Blended Learning

2016 ◽  
pp. 17-40
Author(s):  
Virendra Gawande
Keyword(s):  
Higher Education ◽  
Developing Countries ◽  
Learning Styles ◽  
Blended Learning ◽  
Significant Influence ◽  
Learning Process ◽  
Teaching And Learning ◽  
Positive Relationship ◽  
Factors Affecting ◽  
Acceptance Model

Higher Education in developing countries like Oman offers several unique circumstances that suggest curriculum delivery using Blended Learning is a rational choice. Research has been conducted to identify the factors affecting blended learning adoption and to determine whether the teaching and learning process is amenable to its adoption at HEIs in Oman. Based on the findings a model, Blended Learning Acceptance Model (BLAM), has been developed. It was inferred from the findings that there is a positive relationship among the demographic factors and behavioral Intention i.e. blended-learning adoption. In addition, the teaching and learning styles also had significant influence on adoption of blended learning. BLAM was primarily intended to be used at HEIs in Oman, but may also be used in other developing countries as a reference for the adoption of blended learning.

scholarly journals Stability, Homogeneity and Carry-Over of Amoxicillin, Doxycycline, Florfenicol and Flubendazole in Medicated Feed and Drinking Water on 24 Pig Farms

Antibiotics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 563
Author(s):  
Femke Vandael ◽  
Helena Cardoso de Carvalho Ferreira ◽  
Mathias Devreese ◽  
Jeroen Dewulf ◽  
Els Daeseleire ◽  
...  
Keyword(s):  
Drinking Water ◽  
Cross Contamination ◽  
Clinical Practices ◽  
Therapeutic Concentration ◽  
Target Concentration ◽  
Factors Affecting ◽  
Pig Farms ◽  
Oral Group ◽  
Carry Over ◽  
On Farm

The vast majority of medicines in pig rearing are administered via oral group medication through medicated feed and drinking water. However, relevant on-farm factors affecting the concentration of these drugs in feed and drinking water, such as the homogeneity, stability, and cross-contamination, are largely unknown. To characterize these factors, samples of medicated feed and drinking water were taken on 24 Belgian pig farms during treatment and 2 days thereafter, as well as at different on-farm sampling sites from production to feeding troughs or drinking nipples. The samples contained amoxicillin, doxycycline, florfenicol, or flubendazole. Additionally, a questionnaire was completed. In contrast to the results of medicated feed, results of medicated water showed a large between-farm variation in antimicrobial drug concentration. The therapeutic concentration range was only met in 2 out of 11 farms using medicated feed, and in 3 out of 13 farms using medicated water. Medicated feed concentrations were often below the therapeutic concentration range mentioned in the Summary of Product Characteristics, while drinking water concentrations were just as often above as they were below the advised target concentration range. Drug residues measured 2 days after the end of therapy with both feed and water medication rarely exceeded 1% of the lowest therapeutic concentration. This study demonstrates that recommendations on good clinical practices for oral group medication in the pig industry are highly needed.

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