1 resultado para Lung function test
em Aquatic Commons
Filtro por publicador
- Aberdeen University (6)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (6)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (21)
- B-Digital - Universidade Fernando Pessoa - Portugal (2)
- Biblioteca de Teses e Dissertações da USP (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (57)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (11)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (8)
- Bioline International (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (165)
- Brock University, Canada (8)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (5)
- CentAUR: Central Archive University of Reading - UK (22)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (9)
- Collection Of Biostatistics Research Archive (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Dalarna University College Electronic Archive (3)
- Digital Commons - Montana Tech (1)
- Digital Commons at Florida International University (6)
- DigitalCommons@The Texas Medical Center (27)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (12)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Glasgow Theses Service (2)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (17)
- Hospitais da Universidade de Coimbra (1)
- Indian Institute of Science - Bangalore - Índia (9)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Nacional de Saúde de Portugal (2)
- Instituto Politécnico do Porto, Portugal (8)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (22)
- Nottingham eTheses (1)
- Open University Netherlands (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (5)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (98)
- Queensland University of Technology - ePrints Archive (67)
- Repositorio Academico Digital UANL (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (4)
- Repositório Institucional da Universidade Federal de São Paulo - UNIFESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional dos Hospitais da Universidade Coimbra (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (116)
- Research Open Access Repository of the University of East London. (2)
- School of Medicine, Washington University, United States (1)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (20)
- Universidad Politécnica de Madrid (7)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (5)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (15)
- Universita di Parma (1)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (8)
- Université de Montréal (3)
- Université de Montréal, Canada (12)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (2)
- University of Michigan (1)
- University of Queensland eSpace - Australia (32)
- University of Washington (3)
- WestminsterResearch - UK (1)
Resumo:
An analysis of the factor-product relationship in the semi-intensive shrimp farming system of Kerala, farm basis and hectare basis, we are attempted and the results reported in this paper. The Cobb-Douglas model, in which the physical relationship between input and output is estimated, and the marginal analysis then employed to evaluate the producer behaviour, was used for the analysis. The study was based on empirical data collected during November 1994 to May 1996, covering three seasons, from 21 farms spread over Alappuzha, Ernakulam and Kasaragod districts of the state. The sample covered a total area of 61.06 ha. Of the 11 explanatory variables considered in the model, the size of the farm, casual labour and chemical fertilizers were found statistically significant. It was also observed that the factors such as age of pond, experience of the farmer, feed, miscellaneous costs, number of seed stocked and skilled labour contributed positively to the output. The estimated industry production function exhibited unitary economies of scale. The estimated mean output was 3937 kg/ha. The test of multi-co-linearity showed that there is no problem of dominant variable. On the basis of the marginal product and the given input-output prices, the optimum amounts of seed, feed and casual labour were estimated. They were about 97139 seed, 959 kg of feed and 585 man-days of casual labour per farm. This indicated the need for reducing the stocking density and amount of feed from the present levels, in order to maximise profit. Based on the finding of the study, suggestions for improving the industry production function are proposed.