Profit Efficiency among Dairy Farms in the Eastern Region of India

2020 ◽  
pp. 97-103
Keyword(s):  
New Technologies ◽  
Dairy Farms ◽  
Dairy Farming ◽  
Eastern Region ◽  
Dairy Farmers ◽  
Profit Efficiency ◽  
Factors Affecting ◽  
For Profit ◽  
Maximum Profit ◽  
The Mean

ABSTRACT The profit efficiency in dairy farming is important to keep the farmer into dairy farming. The estimates of profit efficiency provide policymakers the information to what extent milk production can be expanded by removing the factors responsible for profit inefficiencies. Keeping this in mind the present study was undertaken in the eastern region of India to explore the profit efficiency among dairy farmers and factors affecting it. It was concluded that the mean profit efficiency of the dairy farmers was 0.7215 that is the profit could be increased by 27.85 percent if both technical and allocative inefficiencies were removed. Most of the farmers had their profit efficiencies in the range of 0.66 to 0.75. About 46.26 percent of the overall variation in actual profit from the maximum profit received by dairy farmers was due to differences in farmers’ practices and random factors. The profit efficiencies in the area could be increased by farmers’ education and experience in the business. Thus, the farmers should be periodically educated on appropriate feeding practices, and new technologies in dairying to overcome the inefficiencies.

Profit Efficiency of Women Dairy Farmers in Begusarai District of Bihar

2020 ◽  
pp. 472-476
Keyword(s):  
Structured Interview ◽  
Herd Size ◽  
Dairy Farming ◽  
Primary Data ◽  
Dairy Farmers ◽  
Interview Schedule ◽  
Profit Efficiency ◽  
The Mean ◽  
Farmer Training ◽  
Farming Households

The present study was undertaken to find out the profit efficiency of Women Dairy Co-operative Society (WDCS) member and non-member dairy farming households of Begusarai district of Biharusing a translog stochastic profit frontier and inefficiency model. The primary data was collected from 80 each members and non-member women dairy farmers using a semi-structured interview schedule. The results showed that the profit efficiency in the case of members (89.99 percent) was higher than non-members (87.97 percent). The mean efficiency in the case of member and non-member farmers was 71.76 and 60.77 percent, respectively which means that 28.24 and 39.23 percent of profit can be increased by improving technical and allocative efficiencies. The major determinants of profit inefficiency were found to be the age of the women dairy farmer, training received by them, farming experience, herd size, herds composition etc. Thus, training should be provided on dairy farming practices and the adoption of more crossbred in the herd should be increased in order to improve profit efficiency. It was concluded that WDCS played a very important role is changing the overall dairy sector in rural India.

scholarly journals Measuring and explaining multi-directional inefficiency in the Malaysian dairy industry

2017 ◽  
Vol 119 (12) ◽  
pp. 2788-2803 ◽  
Author(s):  
Nurul Aisyah Binti Mohd Suhaimi ◽  
Yann de Mey ◽  
Alfons Oude Lansink
Keyword(s):  
Production Systems ◽  
Dairy Industry ◽  
Farming System ◽  
Dairy Farming ◽  
Truncated Regression ◽  
Dairy Farmers ◽  
Technical Inefficiency ◽  
Content Type ◽  
Factors Affecting ◽  
Farm Finance

Purpose The purpose of this paper is to measure the technical inefficiency of dairy farms and subsequently investigate the factors affecting technical inefficiency in the Malaysian dairy industry. Design/methodology/approach This study uses multi-directional efficiency analysis to measure the technical inefficiency scores on a sample of 200 farm observations and single-bootstrap truncated regression model to define factors affecting technical inefficiency. Findings Managerial and program inefficiency scores are presented for intensive and semi-intensive production systems. The results reveal marked differences in the inefficiency scores across inputs and between production systems. Practical implications Intensive systems generally have lowest managerial and program inefficiency scores in the Malaysian dairy farming sector. Policy makers could use this information to advise dairy farmers to convert their farming system to the intensive system. Social implications The results suggest that the Malaysian Government should redefine its policy for providing farm finance and should target young farmers when designing training and extension programs in order to improve the performance of the dairy sector. Originality/value The existing literature on Southeast Asian dairy farming has neither focused on investigating input-specific efficiency nor on comparing managerial and program efficiency. This paper aims to fill this gap.

Analysing the determinants of technical efficiency of dairy farms in Brazil

2019 ◽  
Vol 68 (2) ◽  
pp. 464-481 ◽  
Author(s):  
Taciana Mareth ◽  
Luiz Felipe Scavarda ◽  
Antonio Marcio Tavares Thomé ◽  
Fernando Luiz Cyrino Oliveira ◽  
Tiago Wickstrom Alves
Keyword(s):  
Technical Efficiency ◽  
Dairy Farms ◽  
Farm Size ◽  
The South ◽  
Dairy Farmers ◽  
Content Type ◽  
Factors Affecting ◽  
Use Of Services ◽  
South Of Brazil ◽  
Productivity And Competitiveness

PurposeThe purpose of this paper is to analyse the determinants of technical efficiency (TE) in dairy farms located in the South of Brazil, aiming for a better understanding of the topic for academics, dairy farmers and policymakers to improve the productivity and competitiveness of dairy farms.Design/methodology/approachThis study was developed using a two-stage approach. Data envelopment analysis was used to estimate the TE level and regression models to understand the factors affecting TE in dairy farms. The sample size is 253 dairy farms in the South of Brazil.FindingsThe variation in the mean TE indexes reported in the literature can be explained by the attributes of the analysed studies, including the education of the farm operator, farm size (number of cows and milk), feed and labour costs, and use of services. Additionally, the results suggest that dairy farmers in the sample could increase milk output by 50.1 per cent (level of inefficiency) on average if they improve their TE.Originality/valueThis study makes three important contributions: first, it formulates hypotheses from the previous literature’s propositions on the estimation of TE in dairy farms; second, it tests the hypotheses in an empirical study to understand the main factors affecting the TE in dairy farms of the selected municipalities in the South of Brazil; and third, it compares previous findings on the determinants of TE in dairy farms serving different stakeholders, such as researchers, farmers and government representatives, to improve the productivity and competitiveness of dairy farms.

scholarly journals Factors Affecting Machinations at Dairy Farms : An Appraisal from Economic Perspective

2022 ◽  
Vol 22 (1) ◽  
pp. 32-37
Author(s):  
H.R. Meena ◽  
K.R. Kadian ◽  
B.S. Meena ◽  
Gunjan Bhandari ◽  
Vikash Kumar
Keyword(s):  
Dairy Farm ◽  
Dairy Farming ◽  
Survey Method ◽  
Dairy Farmers ◽  
Time Saving ◽  
Indian States ◽  
Factors Affecting ◽  
The Government ◽  
Milking Machine ◽  
Quality Of Milk

This study was undertaken to get a comprehensive idea about the favourable and unfavourable factors for adoption of dairy automation/ machinations as perceived by dairy farmers, and study the economic impact of semi-automatic milking machine for small, medium and large dairy unit using the analysis of total cost and monetary benefits. The study was carried out in north Indian states, 30 commercial dairy farmers were selected constituting a total of 150 respondents practicing commercial dairy farming under survey method of investigation. Results revealed that time saving in dairy farm operations, drudgery reduction, and maintenance of hygiene and quality of milk and milk products were perceived as top three favourable factors for adoption of dairy automation or machination. The high initial investment required for dairy automation, no extra milk price for hygiene and quality products through the adoption of dairy automation in the market, and high cost of equipment and less subsidy provided by the government were perceived as top three favourable factors for adoption of dairy automation or machination. The study indicated that adoption score of the respondents were not significantly correlated with age. It implies that age, education, family size land holding and experiences of dairy farming does not affect the adoption of dairy automation technologies. The additional monetary benefits apart from this economic benefit’s other benefits such as clean and hygiene milk, health care and management in economic terms were calculated about 43800, 39,600, and 64,000 per year for small, medium, and large dairy unit, respectively

scholarly journals Economic Efficiency of Smallholder Dairy Farmers in Swaziland: An Application of the Profit Function

2014 ◽  
Vol 2 (2) ◽  
pp. 132 ◽  
Author(s):  
B. B. Masuku ◽  
M. B. Masuku ◽  
A. Belete
Keyword(s):  
Economic Efficiency ◽  
Large Scale ◽  
Smallholder Farmers ◽  
Target Population ◽  
Dairy Farming ◽  
Gross Margin ◽  
Dairy Farmers ◽  
Factors Affecting ◽  
Smallholder Dairy ◽  
Margin Analysis

The purpose of the study was to analyse the economic efficiency of smallholder dairy farmers in Swaziland. Specifically, the study sought to describe the socio-economic characteristics of dairy farmers in Swaziland. The smallholder farmers are classified into: smallholder farmers, medium-scale farmers, and large-scale dairy farmers. The specific objectives of the study were to: estimate the economic efficiency of smallholder dairy farmers in Swaziland; identify factors affecting the economic efficiency of smallholder dairy farmers; and determine the profitability of the smallholder dairy enterprise. This was a descriptive and quantitative survey and the target population was all smallholder dairy farmers registered with the Swaziland Dairy Board (N = 444). A purposive and random sampling techniques was used to select the respondents (n = 111). Three methods of data analysis were used, namely; descriptive statistics, econometric analysis (Stochastic Profit Frontier Function) and gross margin analysis. The mean level of Economic Efficiency (EE) for the famers was 79.8%. The farm’s location, pasture size, soil fertility, water availability, the farmer’s years of experience in dairy farming, membership to dairy farmers’ association and training on dairy farming are factors that influenced the level of EE for smallholder dairy farmers in Swaziland. The smallholder dairy farmers were economically efficient. The institutional factors, socioeconomic and farm characteristics do affect the level of EE among smallholder dairy farmers. The dairy farming enterprise is a profitable enterprise.  

scholarly journals Stochastic frontier model for profit efficiency of beef cattle farming during the covid 19 pandemic in West Pasaman Regency, West Sumatera Province

2021 ◽  
Vol 888 (1) ◽  
pp. 012081
Author(s):  
Ida Indrayani ◽  
Tevina Edwin
Keyword(s):  
Beef Cattle ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Labor Cost ◽  
Fixed Cost ◽  
Profit Efficiency ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
For Profit ◽  
Cattle Farming

Abstract Study aimed to estimate profit efficiency and determine factors affecting the profit efficiency of beef cattle farming in West Pasaman Regency, West Sumatera Province. A survey was conducted in West Pasaman regency at October 2020. Respondents consisting of 60 beef cattle farmers were questioned using structural questionnaires. Stochastic Frontier Analysis was used to estimate profit efficiency and factors influencing profit efficiency of beef farm in West Pasaman Regency. Important factors affecting the profit efficiency of beef cattle farming business in West Pasaman Regency were feed price, cost of veterinary medicine, fixed cost, labor cost and number of cattle affecting significant to beef cattle farming profit. The average level of profit efficiency was 39, 4%. Considering the importance of profit efficiency beef cattle farming there is a need for improving level of farmer’s education and experience in beef cattle farming, but farmers should be of productive age.

Clinical trials — the personal perspective of the research physician?

2020 ◽  
Vol 75 (3) ◽  
pp. 256-263
Author(s):  
Maria Y. Egorova ◽  
Irina A. Shuvalova ◽  
Olga I. Zvonareva ◽  
Igor D. Pimenov ◽  
Olga S. Kobyakova ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Medical Care ◽  
New Technologies ◽  
Healthcare Providers ◽  
Study Drug ◽  
Well Being ◽  
Personal Perspective ◽  
Public And Private ◽  
Factors Affecting ◽  
To Receive

Background. The organization of clinical trials (CTs) requires the participation and coordination of healthcare providers, patients, public and private parties. Obstacles to the participation of any of these groups pose a risk of lowering the potential for the implementation of CTs. Researchers are a key human resource in conducting of CT. Their motivation for participation can have a significant impact on the recruitment and retention of patients, on the quality of the data collected, which determines the overall outcome of the study. Aims to assess the factors affecting the inclusion of Russian physicians-researchers in CT, and to determine their role in relations with patients-participants. Materials and methods. The study was organized as a part of the Russian multicenter face-to-face study. A survey was conducted of researchers from 10 cities of Russia (20172018). The participation in the survey for doctors was anonymous and voluntary. Results. The study involved 78 respondents. Most research doctors highly value the importance of research for science (4,84 0,39), society (4,67 0,46) and slightly lower for participating patients (4,44 0,61). The expectations of medical researchers are related to improving their financial situation and attaining new experience (n = 14; 18,18%). However, the opportunity to work with new technologies of treatment and diagnosis (n = 41; 52,56%) acted as a motivating factor. According to the questionnaire, the vast majority of research doctors (n = 29; 37,18%) believe that the main reason for patients to participate in CT is to receive quality and free medical care. The most significant obstacle to the inclusion of participants in CT was the side effects of the study drug (n = 38; 48,71%). Conclusions. The potential of clinical researchers in Russia is very high. The patient-participant acts for the research doctor as the subject of the study, and not the object, so the well-being of the patient is not indifferent to the doctor. However, the features of the functioning of our health care system form the motivation of doctors-researchers (additional earnings, professional self-development) and the way they perceive the motivation of patients (CT as an opportunity to receive quality medical care).

Knowledge Test Development for Dairy Farmers To Measure Knowledge Level About Scientific Dairy Farming Practices

2019 ◽  
Vol 14 (04) ◽  
Author(s):  
Anupama Jena ◽  
Mahesh Chander ◽  
Sushil K. Sinha
Keyword(s):  
Item Analysis ◽  
Dairy Farming ◽  
Discrimination Index ◽  
Test Reliability ◽  
Knowledge Level ◽  
Farming Practices ◽  
Dairy Farmers ◽  
Knowledge Test ◽  
Level Of Significance ◽  
Difficulty Index

In the present study, a test was developed to measure the knowledge level of dairy farmers about scientific dairy farming. A preliminary set of 87 knowledge items was initially administered to 60 randomly selected dairy farmers for item analysis. The difficulty index and discrimination index was found out, and the items with difficulty index ranging from 30 to 80 and the discrimination index ranging from 0.30 to 0.55 were included in the final format of the knowledge test. A total of 48 items which fulfilled both the criteria were selected for the final format of knowledge test. Reliability of the test through split half method was found out to be 0.386 and the coefficient of correlation value by the test-retest method was 0.452, which was found to be significant at 1% level of significance. Hence, the knowledge test constructed was highly stable, reliable and validated for measuring what it intends to.

scholarly journals Teleworking and Online Shopping: Socio-Economic Factors Affecting Their Impact on Transport Demand

2021 ◽  
Vol 13 (13) ◽  
pp. 7211
Author(s):  
Juan Ramón López Soler ◽  
Panayotis Christidis ◽  
José Manuel Vassallo
Keyword(s):  
Urban Areas ◽  
Online Shopping ◽  
New Technologies ◽  
Age Groups ◽  
Mobility Patterns ◽  
Factors Affecting ◽  
Ex Post ◽  
Potential Impact ◽  
Commuting Patterns ◽  
Socio Economic Factors

Teleworking and online shopping became commonplace during the COVID-19 pandemic and can be expected to maintain a strong presence in the foreseeable future. They can lead to significant changes in mobility patterns and transport demand. It is still unclear, however, how extensive their adoption can be, since each individual has different preferences or constraints. The overall impact on transport depends on which segments of the population will modify their behaviour and on what the substitutes to the current patterns will be. The purpose of this work is to identify the user profiles and spatial aspects that affect the adoption of teleworking and online shopping, and to explore the potential impact on transport demand. To that end, data from an EU-wide survey on mobility were analysed using a Machine Learning methodology. The results suggest that while the take up of the new work and consumption patterns is high on average, there are significant differences among countries and across different socio-economic profiles. Teleworking appears to have a high potential mainly in certain services sectors, affecting commuting patterns predominantly in large urban areas. Online shopping activity is more uniform across the population, although differences among countries and age groups may still be relevant. The findings of this work can be useful for the analysis of policies to encourage the uptake of new technologies in transport and mobility. They can be also a good reference point for future studies on the ex-post analysis of the impacts of the pandemic on mobility.

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