Resource productivity estimates of pineapple farms in upland Cavite / by Judy Ann F. Don and Aljhen V. Tonel.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2019.Description: xvi, 63 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): DDC classification:
  • 634.774 D71 2019
Online resources: Production credits:
  • College of Economics, Management and Development Studies (CEMDS).
Abstract: DON, JUDY ANN FLESTADO and TONEL, ALJHEN VALENZUELA. Resource Productivity Estimates of Pineapple Farms in Upland, Cavite. Undergraduate Thesis. Bachelor of Science in Economics major in Agricultural Economics. Cavite State University, Indang Cavite. June 2019. Adviser: Dr. Luzviminda A. Rodrin. The study was conducted in Silang, Tagaytay, Indang, Alfonso and Mendez, Cavite from August to June 2019. It was conducted to determine the socio-economic characteristics of the pineapple farmers; describe the different characteristics of pineapple farms; ascertain the relationship between pineapple production and selected variables; determine the efficiency of the selected variables used by the pineapple farmers and identify the problems encountered by the pineapple farmers in the production. A total of 185 participants were interviewed using an interview schedule. Data were analyzed using multiple regression and efficiency ratios. Frequency counts, percentages, and means were used to describe the characteristics of the farmers and their farms. The Cobb-Douglas production function was used to estimate the input-output relationship. EVIEWS software was used to run the production function. The ratio of Marginal Value Product (MVP) to the Marginal Factor Cost (MFC) or price of input was computed to determine the economic efficiency of the inputs used in pineapple production in Cavite. The farmers in Cavite were generally older, more educated, and with an average of 23 years of experience in pineapple farming. Most of the pineapple farmers had an average farm size of one hectare. They produced an average of 24 metric tons of pineapples per hectare. Majority of the pineapple farmers (45%) employed hired labor which utilized an average of 30 man-days in production. Productivity estimates indicate that the volume of production of pineapple was significantly affected by the amount of fertilizer, farm size, and number of man-labor on a per farm basis, while on a per hectare basis the amount of fertilizer was the only significant variable that affected pineapple production. Estimates using the Cobb- Douglas production function found that the summation of the coefficient had a significant relationship with production. The marginal value product for the amount of fertilizer, farm size, and number of man-labor were all over-utilized at the given price level of inputs used. Pineapple farmers revealed that the price of fertilizer and inducer greatly affect the production of pineapple. Other problems were presence of pests and insects, high labor cost, low selling price, unfavorable weather condition and lack of capital.
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Theses / Manuscripts Theses / Manuscripts Ladislao N. Diwa Memorial Library Theses Section Non-fiction 634.774 D71 2019 (Browse shelf(Opens below)) Link to resource Room use only T-8857 00081329

Thesis (Bachelor of Science in Economics major in Agricultural Economics) Cavite State University.

Includes bibliographical references.

College of Economics, Management and Development Studies (CEMDS).

DON, JUDY ANN FLESTADO and TONEL, ALJHEN VALENZUELA. Resource Productivity Estimates of Pineapple Farms in Upland, Cavite. Undergraduate Thesis. Bachelor of Science in Economics major in Agricultural Economics. Cavite State University, Indang Cavite. June 2019. Adviser: Dr. Luzviminda A. Rodrin.

The study was conducted in Silang, Tagaytay, Indang, Alfonso and Mendez, Cavite from August to June 2019. It was conducted to determine the socio-economic characteristics of the pineapple farmers; describe the different characteristics of pineapple farms; ascertain the relationship between pineapple production and selected variables; determine the efficiency of the selected variables used by the pineapple farmers and identify the problems encountered by the pineapple farmers in the production. A total of 185 participants were interviewed using an interview schedule.
Data were analyzed using multiple regression and efficiency ratios. Frequency counts, percentages, and means were used to describe the characteristics of the farmers and their farms. The Cobb-Douglas production function was used to estimate the input-output relationship. EVIEWS software was used to run the production function. The ratio of Marginal Value Product (MVP) to the Marginal Factor Cost (MFC) or price of input was computed to determine the economic efficiency of the inputs used in pineapple production in Cavite. The farmers in Cavite were generally older, more educated, and with an average of 23 years of experience in pineapple farming. Most of the pineapple farmers had an average farm size of one hectare. They produced an average of 24 metric tons of pineapples per hectare. Majority of the pineapple farmers (45%) employed hired labor which utilized an average of 30 man-days in production.
Productivity estimates indicate that the volume of production of pineapple was significantly affected by the amount of fertilizer, farm size, and number of man-labor on a per farm basis, while on a per hectare basis the amount of fertilizer was the only significant variable that affected pineapple production. Estimates using the Cobb- Douglas production function found that the summation of the coefficient had a significant relationship with production. The marginal value product for the amount of fertilizer, farm size, and number of man-labor were all over-utilized at the given price level of inputs used. Pineapple farmers revealed that the price of fertilizer and inducer greatly affect the production of pineapple. Other problems were presence of pests and insects, high labor cost, low selling price, unfavorable weather condition and lack of capital.


Submitted to the University Library 04/06/2022 T-8857

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