MARC details
| 000 -LEADER |
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| fixed length control field |
02396nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240314153616.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240129b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
UPMin |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG993.5 2022 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
A3 J68 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Joville, Leigh Blanche B. |
| Relator term |
author |
| 9 (RLIN) |
24806 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Drivers of catch per unit effort of the fishers in Davao Gulf, Philippines / |
| Statement of responsibility, etc. |
Leigh Blanche B. Joville; Jon Marx P. Sarmiento, adviser |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
56 leaves |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis |
| Degree type |
(BS Agribusiness Economics) -- |
| Name of granting institution |
University of the Philippines Mindanao, |
| Year degree granted |
2022 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
The Philippine fishing sector is a substantial contributor to the nation’s economy. It provides food, employment, and other economic benefits. Nonetheless, the country’s fisheries industry is plagued by output depletion and overexploitation, and catch rates are declining. This paper examines the socio-economic and technological aspects influencing the CPUE of fishermen in Sta. Maria, Sta. Cruz, Sta. Isidro, Mabini, and Governor Genesio. Using the Cobb-Douglas production function and quantile regression, this analysis also contrasts important drivers across Marine Protected Areas (MPA) and non MPA. In this study, CPUE is calculated using the formula; catch per week of fisher in kilograms (kg) divided by fishing effort hours per week. Results suggest that in non-MPAs, training and affiliation in a fishing organization are significant socio-demographic drivers of COUE, while the number of boat crew, fishing gear costs, boat type, and boat length are the important technological drivers. In addition, in MPAs, fishing experience and training are key socio-demographic drivers of CPUE, whereas crew size, cost of fishing gear, other costs, boat type, and boat length are the significant technological drivers. To achieve higher CPUE, it is recommended to improve training provision by increasing both the quantity and quality of training hours, maximizing the use of more inputs like motorized boats and fishing gear, providing more subsidies for fishermen such as access to low-cost credit sources, and developing, policies and management protocols that are geared toward sustainability to strengthen efforts in protecting marine resources |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
|---|
| Main curriculum objective |
Undergraduate Thesis |
| Curriculum code |
ABE 200b |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Sarmiento, Jon Marx P. |
| Relator term |
adviser |
| 9 (RLIN) |
561 |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| a |
Fi |
| -- |
UP |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |
| Suppress in OPAC |
No |
