scholarly journals Do farmers’ old age pension programs affect farm production? Empirical evidence of dairy farms in Taiwan

2016 ◽  
Vol 61 (No. 11) ◽  
pp. 533-541
Author(s):  
H.-H. Chang ◽  
J.-H Wang ◽  
A.K. Mishra
2020 ◽  
Vol 47 (3) ◽  
pp. 1338-1365
Author(s):  
Stefan Wimmer ◽  
Johannes Sauer

Abstract This article explores how farm size is related to economic benefits from diversification. Using a data set pertaining to Bavarian dairy farms (2000–2014), we estimate an input distance function (IDF) to derive cost complementarities between distinct outputs. A Bayesian estimation technique is used to improve the theoretical consistency of the IDF. The results show that small dairy farms are more likely to benefit from diversification between milk and livestock production, while larger farms tend to benefit from diversification between milk and crop production. Both managerial and policy implications are discussed.


2008 ◽  
Vol 24 (1) ◽  
pp. 25-37 ◽  
Author(s):  
Caroline Brock ◽  
Bradford Barham

AbstractAlthough the emergence of large confinement operations out of a system previously dominated by mid-sized confinement has been one major structural trend in Wisconsin dairy farming since the 1990s, a second structural trend has been the significant emergence of moderate-sized dairy farms using alternative management strategies: management-intensive rotational grazing (MIRG) (25% of Wisconsin's dairy farms), organic production (3%) and Amish farm production practices (5–7%). This paper presents the first systematic and representative comparative study on the structure, behavior and performance of multiple pasture-based dairy farm strategies. Wisconsin is an ideal site for this study given the prevalence of pasture-based farms, yet many of the findings here should be relevant for other traditional dairy states where similar types of alternative farm management systems are also emerging. Divergence with respect to farm strategy has implications for structure, technology and management adoption patterns as well as farmer satisfaction levels. Our findings suggest that alternative dairy farming systems are likely to become more prevalent on the agricultural landscape of Wisconsin.


2019 ◽  
Vol 22 (2) ◽  
pp. 215-228 ◽  
Author(s):  
Bjørn Gunnar Hansen ◽  
Hans Olav Herje ◽  
Jonas Höva

The objective of this study was to explore differences in profitability between farms with automatic milking systems (AMS) and farms with conventional milking systems (CMS). To explore profitability, we analysed the gross farm income from dairy cows. Accounting and production data for over a thousand dairy farms were collected. Using kernel-matching, we made CMS farms more comparable to AMS farms. We then used ordinary least squares regression to estimate the effect of AMS relative to farm size and time passed since last investment in milking systems. The results show that farms must have 35 to 40 cows before AMS becomes more profitable than CMS. Further, any profitability gains will only be visible after a transitional period of approximately four years. Milk revenues are higher on AMS farms, and the difference increases with the size of the farm. Production-related costs are also higher on AMS farms.


2017 ◽  
Vol 48 (5) ◽  
pp. 587-596 ◽  
Author(s):  
Habtamu Yesigat Ayenew ◽  
Elisenda Estruch ◽  
Johannes Sauer ◽  
Getachew Abate-Kassa ◽  
Lena Schickramm ◽  
...  

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Dolores García-Romo ◽  
Carlos Cruz-Vázquez ◽  
Teódulo Quezada-Tristán ◽  
Enrique Silva-Peña ◽  
Arturo Valdivia-Flores ◽  
...  

The aim of this study was to identify the prevalence of and certain risk factors associated with infection by Cryptosporidium spp. in suckling calves that were maintained in confinement in three dairy farms in Aguascalientes, Mexico. Over a period of 12 months, 1658 fecal samples were taken from 0- to 28 day-old calves. These samples were processed by a Kinyoun stain of the fecal smears to identify the presence of parasite oocysts. A survey was conducted to identify the different management factors present in the dairy farms, and a risk analysis was performed using logistic regression. The overall prevalence of Cryptosporidium spp. infection was 40%; the 8- to 14-day-old age group of calves had the highest prevalence of infection (81%), while the lowest prevalence of infection (21%) was observed in the 22- to 28-day-old age group. The identified risk factors for infection by Cryptosporidiumspp. included the 8- to 14-day-old group (OR = 15.2; 95% CI 11.2 - 20.6; P < 0.000) and the 15- to 21-day-old group (OR = 2.5; 95% CI 1.9 - 3.2, P < 0.000); the use of sawdust bedding (OR= 1.8; 95% CI 1.1 - 2.8, P < 0.011); the plastic container from which calves drink milk (OR = 1.4; 95% CI 1.1 - 1.7, P < 0.000); the low level of immunoglobulins (OR = 1.8; 95% CI 1.1 - 2.9, P < 0.009); and calving care by non-specialized personnel (night watchman: OR = 2.5; 95% CI 1.6 - 3.9, P < 0.000; nursing area worker: OR 1.7; 95% CI 1.2 – 2.5, P < 0.001).Risk factors for infection by Cryptosporidium spp. identified in three dairy farms in Aguascalientes, Mexico.


2020 ◽  
Vol 130 (632) ◽  
pp. 2497-2525 ◽  
Author(s):  
Rufei Guo ◽  
Junsen Zhang

Abstract Do parents forge children’s preference for old-age support? Becker (1993) conjectures that the inculcation of filial piety increases parents’ investment in children’s human capital. We provide the first empirical evidence on parents’ instilling of filial piety in children, by combining the natural experiment of twins with China’s One-Child Policy to obtain exogenous variations in children’s gender composition. Among the different models of filial-piety inculcation, our empirical results favour a Beckerian model of altruism inculcation in which parents solicit support from the child with a higher earnings endowment.


2011 ◽  
Vol 27 (4) ◽  
pp. 1425-1431 ◽  
Author(s):  
B. Stankovic ◽  
S. Hristov ◽  
J. Bojkovski ◽  
Z. Zlatanovic ◽  
N. Maksimovic ◽  
...  

The effects of general and special biosecurity measures to prevent introduction of infectious agents in a dairy farm or its spreading from farm were analyzed in details in this paper. Investigations were conducted on five different dairy farm production with different technology and capacity using a questionnaire method (Hristov and Stankovic, 2009), as well as scrutinizing their positions in relation to possible sources bio-risks from the near and far away environment. Test results showed that there are serious shortcomings on all observed farms, regarding the possibility of introduction of infectious agents in the production herd, and its possible spread to the environment. Although all fenced and a position of the most of the farms mostly favourable, there are some serious threats to the herd health and farm production, regarding open space and lack of green belt, the uncontrolled presence of wild birds and rodents in facilities and even in feed storage, as well as contact of the employees with other cows not belonging to the farm.


Author(s):  
L.C. Smith ◽  
J.D. Morton ◽  
W.D. Catto ◽  
K.D. Trainor

increasing farm production is the low pasture production in early spring and late autumn. In order to accurately predict the effect of nitrogen (N) fertiliser on production at these times, four smallplot mowing trials looking at pasture responses to N fertiliser were established on two dairy farms and one sheep farm in Southland and one sheep farm in Central Otago in August 1998. Monthly applications of 50 kg N/ha as urea were applied from August to May. Pasture production was measured monthly using a pasture probe in Southland and by cutting and drying the herbage in Central Otago. Results show that the August- September applications of N gave pasture responses of 1.5-9 kg DM/kg N in 1998 and 6-23 kg DM/kg N in 1999. The October-November N applications gave responses of 4-20 kg DM/kg N in 1998 and 4-15 kg DM/kg N in 1999. The February-March applications of N produced responses of 6-14 kg DM/kg N in 1999 and 3.2-20 kg DM/kg N in 2000. The response to August-applied N was similar in the second month after application to the first month. For the March application, most of the response occurred in the first 30 days following application, although small responses were measured up to 90 days after application at some sites. N applied in May had a small carryover effect on spring (September) pasture production, but the August application resulted in the greatest overall production increase in September. This study showed that a single application of N in August or March can result in large pasture production increases under mowing with clippings removed, without depressing clover growth. Keywords: autumn, nitrogen fertiliser, nitrogen response, pasture production, spring


2014 ◽  
Vol 54 (9) ◽  
pp. 1354
Author(s):  
J. B. Moran ◽  
J. W. Brouwer

Farm production and business performance data were collected from 30 dairy farms in Peninsular Malaysia. The farms were split into three groups to assess the impacts of farm management on cow milk yields. The better farmers who produced more milk per cow also fed their dry cows and yearlings better. Suboptimal stock performance, expressed as reduced growth rates in calves and yearlings, poor reproductive performance and low milk yields in adult cows, arose due to shortages in feed supplies, hence their feed nutrients, as provided by farmers. Furthermore, appetites would have been restricted through low rates of feed digestion and poor cow comfort. The economic data generated in the study was used to calculate the potential savings from various Key Performance Indicators of improved herd management. For example, reducing the age of heifers at first calving by 6 months can reap a profit of Malaysian Ringgits (RM) 1400 per heifer while reducing calving interval by 3 months can return an extra RM 1150 per milking cow. Increasing the lactation length by 2 months can reap RM 760 per milking cow while milk rearing calves on calf milk replacer rather than fresh milk can generate an extra RM 275 profit per calf. Clearly, the additional income generated from such examples of improved feeding management, justify their investments in increasing quantities of forages, better quality of supplements and/or more cost-effective feeds.


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