Efficiency of measures for sow husbandry: Integrating farm income, animal welfare and public attitudes

2020 ◽  
Vol 29 (4) ◽  
pp. 433-447
Author(s):  
TJ Bergstra ◽  
H Hogeveen ◽  
EN Stassen ◽  
AGJM Oude Lansink
Keyword(s):  
Animal Welfare ◽  
Public Attitudes ◽  
Farm Income ◽  
Data Envelopment ◽  
Multiple Dimensions ◽  
Efficient Measure ◽  
Sus Scrofa Domesticus ◽  
Piglet Mortality ◽  
On Farm ◽  
Positive Effect

In response to the publics concerns about animal welfare in swine husbandry, the pig (Sus scrofa domesticus) sector introduced improved measures to focus on single rather than multiple dimensions of animal welfare concerns without accounting for their impact on public attitudes. These measures failed to improve attitudes to pig husbandry. The present study uses a more comprehensive approach by evaluating animal welfare measures in terms of their effect on animal welfare, farm income and public attitudes. Four measures were defined for each of the following societal aspects of sow husbandry: piglet mortality; tail biting and the indoor housing of gestating sows. A simulation model was developed to estimate the effects of the measures and Data Envelopment Analysis used to compare measures in terms of their effects on animal welfare, farm income and public attitudes. Only piglet mortality measures were found to have a positive effect on farm income but they showed a relatively low effect on animal welfare and public attitudes. The most efficient measure was that which included straw provision, daylight and increased group sizes for gestating sows. The level of improvement of a measure on animal welfare did not necessarily equate to the same level of improvement in public attitudes or decrease in farm income.

scholarly journals ANALISIS STRUKTUR DAN DISTRIBUSI PENDAPATAN RUMAH TANGGA SERTA TINGKAT KESEJAHTERAAN ANGGOTA KOPERASI SERBA USAHA PETERNAK MOTIVASI DOA IKHTIAR TAWAKKAL (KSUP MDIT) DI KECAMATAN GISTING KABUPATEN TANGGAMUS

2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Fikri Syahputra ◽  
Dyah Aring Hepiana Lestari ◽  
Fembriarti Erry Prasmatiwi
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Secondary Data ◽  
Primary Data ◽  
Farm Income ◽  
Household Welfare ◽  
Distribution Analysis ◽  
On Farm ◽  
Positive Effect

This study aims to analyze the household income’s structure and distribution, and the household welfare level among cooperatives members, in addition to analyze factors that affected the household welfare of cooperative members. This research employed case study method.  The data was collected from September to October 2016.  The research respondents were 55 people who were all members of KSUP MDIT.  The data was consisted of primary and secondary data. Primary data was obtained by observation and interview; while secondary data was obtained  from the agencies and literatures associated with the study.  The data was analyzed by income analysis, income distribution analysis, welfare analysis and binnary logistic regression analysis. The result showed that the biggest member of cooperative member's household income structure in the latest year was non livestock earnings of On Farm followed by non farm income, goat business income and off farm income.  Distribution of household member income of cooperatives were in low inequality. Based on Socio Metrix indicator, 70.91% cooperative members’ households were included in prosperous category and the remaining 29.09% were not prosperous and old variables of education, length of membership, and household income have a positive effect on welfare level.Key words: distribution income, prosperity of members, income

scholarly journals Factors Affecting Farm and Non-Farm Income of Haor Inhabitants of Bangladesh

2013 ◽  
Vol 23 (1-2) ◽  
pp. 143-150 ◽  
Author(s):  
MT Parvin ◽  
M Akteruzzaman
Keyword(s):  
Family Size ◽  
Farm Size ◽  
Farm Income ◽  
Factors Affecting ◽  
Second Development ◽  
Negative Effect ◽  
Nonfarm Income ◽  
Log Linear ◽  
On Farm ◽  
Positive Effect

The study has been conducted to examine the factors influencing farm and nonfarm income of Haor economy in Bangladesh. Dingaputa Haor area of Netrokona district was selected for the present study and a sample of 60 farmers had been taken randomly. The log linear form of Cobb-Douglas production function was chosen to determine the effects of socioeconomic variables on farm income and non-farm income. Apart from this, some descriptive statistical analysis were done to examine the socioeconomic characteristics of sampled households. The estimated results of the regression models revealed that family size and farm size had a significant positive effect on farm income and non-farm income had a significant negative effect on farm income. On the other hand, family size had a positive and significant effect on non-farm income and farm income had a negative and significant effect on non-farm income. To promote the farm and non-farm sector income and strengthening its potential linkages between them, the study mainly recommends increasing efforts on two fronts: first, reforming the institutions responsible for rural development and second, development activities and projects that would enhance farm and non-farm income and the linkages between them.DOI: http://dx.doi.org/10.3329/pa.v23i1-2.16578Progress. Agric. 23(1 & 2): 143 – 150, 2012

scholarly journals Factors Affecting Farm Income of Different Farming System in Madhya Pradesh

2021 ◽  
pp. 107-110
Author(s):  
Yogesh Tiwari ◽  
H. O. Sharma ◽  
P. K. Awasthi ◽  
Prasanna Kolar
Keyword(s):  
Farming System ◽  
Madhya Pradesh ◽  
Farm Income ◽  
Significant Positive Effect ◽  
Factors Affecting ◽  
Irrigation Intensity ◽  
Employment Generation ◽  
On Farm ◽  
Positive Effect ◽  
Farm Inputs

The present study was conducted in Umaria and Anuppur districts of Madhya Pradesh with the specific objective viz. to examine the factors influencing farm income of the respondents. The study confined to two locations of AICRP on IFS, JNKVV, Jabalpur. Total 240 respondents, consisted of 120 beneficiaries under IFS and 120 non-beneficiaries with similar socio economic, were involved in this work. The log linear form of Cobb-Douglas production function was applied to determine the effects of socio-economic variables on farm income. Apart from this, some descriptive statistical analyses were carried out to examine the socio-economic characteristics of the households. The estimated results of the regression models revealed that land holding, irrigation intensity, cost of farm inputs and employment generation had a significant positive effect on farm income among beneficiary’s respondents. On the other hand, age, education, cost of farm inputs and employment generation had a significant positive effect on farm income among non-beneficiary’s respondents. The results of the present study help in increasing the farm income by the enhancement of the factors which found significant during the study period and the policy makers can also plan accordingly for the betterment of both the respondents.

scholarly journals Longitudinal national-level monitoring of on-farm broiler welfare identifies consistently poorly performing farms

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siobhan Mullan ◽  
Bobby Stuijfzand ◽  
Andrew Butterworth
Keyword(s):  
Animal Welfare ◽  
Outcome Measures ◽  
National Level ◽  
Regulatory Compliance ◽  
On Farm ◽  
Level Monitoring ◽  
Poor Welfare ◽  
Check Compliance

AbstractA range of welfare outcome measures relating to on-farm welfare are monitored in UK slaughterhouses to check compliance with the European Broiler Directive. A national dataset from 438,155 batches of chickens between 2010 and 2014 and from 228,795 batches between 2016 and 2018 was analysed. The data contained information about 3.1 billion chickens. The highest mean proportion for a single condition was for ascites/oedema in 2016–2018 at 0.384%, affecting 3.9 million chickens/year sent to slaughter during that time, followed by abnormal colour/fevered at 0.324%, affecting 3.4 million chickens/year. Identifying farms most likely to have poor welfare is an important strategy for improving animal welfare overall, and for maximising the capacity for checking regulatory compliance when resources are limited. We found a greater proportion of broiler farms overall remained consistently in the best quartile (16.4%) rather than the worst quartile (6.6%). Farms that exceeded a Government ‘trigger’ threshold for poor welfare were significantly more likely to subsequently improve than ‘non-trigger’ farms, although they usually remained in the worst performing quartile of farms.

Investigating farmer’s identity and efficiency of tourism-oriented farm diversification

2021 ◽  
pp. 135481662098018
Author(s):  
Yasuo Ohe
Keyword(s):  
Data Envelopment ◽  
Dairy Farmers ◽  
Tokyo Metropolitan Area ◽  
Business Opportunity ◽  
Farm Diversification ◽  
Sbm Model ◽  
Educational Tourism ◽  
New Business ◽  
Tourism Activity ◽  
On Farm

Whether farm management in conducting tourism activity becomes more efficient or not is an important theoretical and empirical question for the promotion of tourism in agriculture. Thus, this study theoretically and empirically evaluated the efficiency of educational dairy farms that provide educational tourism by data envelopment analysis. The financial data were collected by the author’s survey of these farms located around the Tokyo Metropolitan area. Based on the theoretical framework that stipulates that the efficiency of farm activity is determined by a farmer’s identity, a bilateral slacks-based measure (SBM) model and Super SBM model were applied to empirically evaluate efficiency. The results revealed that those farmers who engage in processing milk products and direct selling have higher efficiency than those who do not. This is because having an enlarged identity that provides a wider perspective on farm activity enables these farmers to create demand and reduce marginal cost. This wider perspective was nurtured through the network of educational tourism activity. Thus, educational tourism activity by dairy farmers can nurture a new business opportunity and lead to efficient farm resource allocation. Identity can be a crucial factor in building rural entrepreneurship in tourism.

scholarly journals AGRICULTURAL REGIONALIZATION BASED ON FARM-INCOME CHANGES

1978 ◽  
Vol 51 (5) ◽  
pp. 365-384
Author(s):  
Masaki ANDO
Keyword(s):  
Farm Income ◽  
On Farm

scholarly journals Comparison of the Significance of Clusters for Increasing Business Performance

2020 ◽  
Vol 12 (3) ◽  
pp. 172-189
Author(s):  
Eva Stichhauerova ◽  
Miroslav Zizka ◽  
Natalie Pelloneova
Keyword(s):  
Business Performance ◽  
Data Envelopment ◽  
Company Performance ◽  
Positive Relation ◽  
The Czech Republic ◽  
Cluster Membership ◽  
Cluster Group ◽  
The Impact ◽  
The Given ◽  
Positive Effect

This article focuses on the impact of clusters on performance in five selected industries. Focused on increasing the competitiveness of regions and enterprises, clusters are currently considered one of the most essential tools of industrial policy. This includes the Czech Republic, where cluster initiatives have been systematically supported since 2004 by operational programmes. The goal of this research was to determine whether cluster organizations have a positive effect on the performance of their member enterprises in various industries. Another goal was to verify the relation between the financial and innovative performance of the member enterprises. The research was carried out on a sample of five clusters in the automotive, IT, furnituremanufacturing, packaging and machinery industries, with Data Envelopment Analysis used for this performance evaluation. The enterprises were divided into three groups: companies that are members of cluster organizations, companies that are active in the same region and industry but are not members of a cluster group, and companies from the respective industry that operate outside the region of the given cluster. The results of the study indicate that in four industries (automotive, IT, packaging, machinery), member companies of cluster organizations achieve better results than non-members or firms active in other regions. On the other hand, it was not possible to prove a positive relation between company performance and their registered industrial rights, neither from the perspective of cluster membership nor their activity in the respective industry and region.

scholarly journals ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA MASYARAKAT SEKITAR TAMAN NASIONAL BUKIT BARISAN SELATAN KABUPATEN PESISIR BARAT

2021 ◽  
Vol 9 (3) ◽  
pp. 418
Author(s):  
M. Reza Fachrezy ◽  
Zainal Abidin ◽  
Adia Nugraha
Keyword(s):  
Household Income ◽  
National Park ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Farm Income ◽  
Labor Costs ◽  
The Third ◽  
Average Household Income ◽  
Average Education ◽  
On Farm

This study aims to determine the socio-economic characteristics of farmers, analyze the income structure, the factors that affect the income of farmers, and the level of household welfare of farmers who live around Bukit Barisan Selatan National Park, Pesisir Barat District. This research is a survey research involving 99 respondents who were randomly selected. Respondents were spread across four subdistricts, namely Bengkunat Belimbing, Ngambur, Pesisir Selatan, and Karya Penggawa Districts. The study was conducted from July to August 2018. The first objective was analyzed qualitatively, the second objective was analyzed using household income analysis, the third objective used multiple linear regression analysis, and the fourth objective was using Sajogyo's criteria (1997). The study suggested that the socio-economic characteristics of the farmers around TNBBS were spread from 15 to 64 years of age with an average age of 43.74 years. The average education level was elementary school, the number of majority of family sizes was from 4 to 6 people (67.68%), and the average land was 1.41 ha. The average household income of farmers is IDR 36,946,883.94 per year, which consists of on-farm income 63.68%, off-farm income 11.00%, and non-farm income 25.33%.. Factors that affect farmers' income are fertilizer costs and labor costs. The welfare of farmers around TNBBS is in quite prosperous category.Key words: characteristics, household income, welfare

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