Sediment Damage and Farm Production Costs: A Multiple-Objective Analysis

1980 ◽  
Vol 2 (2) ◽  
pp. 107 ◽  
Author(s):  
William Boggess ◽  
John Miranowski ◽  
Klaus Alt ◽  
Earl Heady
2020 ◽  
Vol 9 (11) ◽  
pp. e4319119938
Author(s):  
Grasiele Coelho Cabral ◽  
Afonso Aurélio de Carvalho Peres ◽  
Ana Carla Chaves Dias ◽  
Wagner de Souza Tassinari ◽  
Maria Izabel Vieira de Almeida ◽  
...  

This study aimed to assess the economic and commercial performance of the Mangalarga Marchador horse breeding, and production costs in the Rio de Janeiro. Data was collected from the ABCCMM archives and from associated breeders, selected through stratified sampling by the mesoregions of the State of Rio de Janeiro. The main means of marketing the animals is selling on the farm. The average of horse’s sale per stud farm in the Rio de Janeiro is 14.92/year with the average of R$16,628.46/horse, generating an estimated sale at the farms of around R$192,026,783.88/year. The sale of mating (8.77 mating/year) and weaned foals (5.44 foals/year) contributed to the largest volume of sales at the stud farms. Donor mares (R$57,318,908.50) and mares (R$42,958,357.20) represented the highest in terms of market value throughout the Rio de Janeiro. The Coastal Lowlands mesoregion had the highest average of animals sold per stud farm/year (40.57 animals) and the Central Fluminense mesoregion had the lowest average (25.39 animals). The average commercialization per farm/year corresponds to R$385,667.90 and the average total value traded in the Rio de Janeiro is R$465,880,252.32/year. The average is 6.52 hired employees, which is equivalent to an average monthly labor gross cost of R$11,286.00. Rio de Janeiro employs around 5,584 people directly, the greatest numbers in the Metropolitan mesoregion (1,833 employees), and the lowest concentration in the Northern Fluminense mesoregion (530 employees). Together with the production costs, Mangalarga Marchador horse’s business turns over more than R$650 million per year in the Rio de Janeiro.


Author(s):  
Thomas Koutsos ◽  
Georgios Menexes

Precision agriculture (PA) as an integrated information- and production-based farming system is designed to delivery high-end technology solutions to increase farm production efficiency and profitability while minimizing environmental impacts on the ecosystems and the environment. PA technologies are technology innovations that incorporate recent advances in modern agriculture providing evidence for lower production costs, increased farming efficiency and reduced impacts. However, the adoption of the precision agriculture technologies has encountered difficulties such as additional application or management costs and investment on new equipment and trained employees. Some of these PA technologies were proven efficient, providing tangible benefits with lower costs and as a result they quickly gained scientific interest. To investigate further the economic, agronomic, and environmental benefits from the adoption of PA technologies a systematic review was conducted, based on the systematic search and evaluation of related eligible articles.


2001 ◽  
Vol 44 (8) ◽  
pp. 1283-1301 ◽  
Author(s):  
DAVID S. BULLOCK ◽  
ELISAVET I. NITSI

2016 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Wa Ode Ariany ◽  
Gene H. M. Kapantow ◽  
Caroline B. D. Pakasi

Rambutan (Nephelium lappaceum L) in the form of a tree with fruit that has skin hair resembles a fruit crop wooded meant in the family Sapindaceae. Talawaan village is a center of rambutan fruit producer in North Minahasa Regency. This research was conducted in January to April 2016 in the village Talawaan Talawaan District of North Minahasa regency. This study using purposive sampling technique using a sample of 15 people rambutan growers. Data collected consist of primary data and secondary data. The results showed that the respondents farmers for the production of rambutan Talawaan village average per farmer as much as 1237.73 kg while the average production per tree as much as 78.51 kg with the average price per kilogram of rambutan Rp 6,000. Rambutan farm receipts on average per farmer Rp 7.4264 million while for the average receipts per tree Rp 471 060. Farm production costs to the cost of production per farmer Rp 228.374.33 while the cost of production per tree Rp 161.56.78, so revenues are reduced by the cost of production, the rambutan farm income to average per farmer Rp 7,198,025.67 while for earnings per tree Rp 454,904.63.


Author(s):  
Agnieszka Gałecka

The aim of the study was to assess the cost effectiveness of farms in Poland compared to the European Union, depending on the type of farming. The value and cost structure of the studied farms were determined and the cost-production relation was assessed. The research covered farms participating in the FADN (Farm Accountancy Data Network) European system for collecting accountancy data from farms. As a part of the main objective, an analysis of the structure and dynamics of costs of the researched farms and the cost-production relationship were assessed. The research period covered the years 2013-2018. On the basis of the conducted research, a high cost burden on production was found both in Poland and the entire EU. In the cost structure, direct costs had the largest share, which were particularly important in farms focused on animal production. There was a differentiation in both the cost structure and cost effectiveness depending on the type of farming. The highest production costs were characteristic for farms of the agricultural type – other grazing livestock, and the lowest for farms specialized in horticultural crops and breeding milk cows. In 2018, compared to 2013, there was an increase in the cost effectiveness of Polish farm production, while a slight decrease in the EU average. The increase in costs and the increase in the cost effectiveness of Polish farm production testifies to a general increase in the prices of production factors used in agricultural production and a decrease in cost competitiveness on the European market.


2018 ◽  
Vol 24 (5) ◽  
pp. 2065-2082 ◽  
Author(s):  
Tianxiang Li ◽  
Tomas Baležentis ◽  
Lijuan Cao ◽  
Jing Zhu ◽  
Dalia Štreimikienė ◽  
...  

This paper aims at measuring productivity and efficiency of China’s three most important grain crops–rice, wheat and maize–as well as identifying the main directions of technical change prevailing in their production. The bias-corrected Malmquist production indices are employed to measure the technical changes (TCs) in terms of input-saving or input-using in China’s grain production, by using provincial aggregate data obtained from the National Farm Production Costs and Returns Survey. The research covers the period of 2003–2013. Application of the bias-corrected Malmquist index showed a labor-saving technical change against all the remaining inputs for the three crops under analysis. The highest frequencies of fertilizer- and machinery-using, labor-saving technical changes were observed for wheat farming. Therefore, a reduction in labor intensity should be the most promising for wheat if compared with rice and maize.


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