Value chain analysis of corn (in – transition to organic) in region 02, Philippines

Paper Details

Review Paper 01/10/2019
Views (987)
current_issue_feature_image
publication_file

Value chain analysis of corn (in – transition to organic) in region 02, Philippines

Mary Evalyn Rose G. Romero
Int. J. Biosci. 15(4), 101-114, October 2019.
Copyright Statement: Copyright 2019; The Author(s).
License: CC BY-NC 4.0

Abstract

This study was conducted to explore the value chain of corn (in-transition to organic) in Region 02. Three distinct value chains were identified and mapped (i.e., green corn, corn grains milled for food and corn grains as raw material in producing “cornick”).In the value chain of green corn, the largest value added was created at the level of green corn farmers. Processor – retailers ranked second while trader – wholesalers contributed the lowest share to value creation. In the value chain of corn grains milled for food, the largest value added was created at the level of the retailers. Corn farmers ranked second whereas village corn millers contributed the lowest share. In the value chain of corn grains used as raw material in processing “cornick”, the largest value added was created by “cornick” processors.  Retailers ranked second in terms of value creation, corn grain traders ranked third while corn farmers contributed the lowest share to value creation.  In-transition corn farming in Region 02 is confronted by problems such as: limited production, minimal input supply (i.e., corn varieties suited to organic farming and other organic inputs); limited government and private sector support for research and product development; lack of facilities suited for handling organic corn produce; high production and handling cost; lack of certified outlets; and absence of price premiums for organically produced corn to compensate penalties in production.

Food and Agriculture Organizatio (FAO). 2005. EASYPol. On-line resource materials for policy making. Analytical tools. Module 043. Commodity Chain Analysis. Constructing the Commodity Chain, Functional Analysis and Flow Charts. Retrieved from accessed January 2014. www.fao.org/docs/up/easypol

Food and Agriculture Organization (FAO). 2005. EASYPol. On-line resource materials for policy making. Analytical tools. Module 044. Commodity Chain Analysis. Financial Analysis. Retrieved from accessed January 2014. www.fao.org/docs/up/easypol

Food and Agriculture Organization (FAO). 2005. EASYPol. On-line resource materials for policy making. Analytical tools. Module 045. Commodity Chain Analysis. Impact Analysis Using Market Prices. Retrieved from accessed January 2014. www.fao.org/docs/up/easypol

Food and Agriculture Organization (FAO). 2005d. EASYPol. On-line resource materials for policy making. Analytical tools. Module 045. Commodity Chain Analysis. Impact Analysis Using Shadow Prices. Retrieved from accessed January 2014. http://www.fao.org/docs/up/easypol

Food and Agriculture Organization (FAO). 2005. EASYPol. On-line resource materials for policy making. Analytical tools. Module 073. A Software for Value Chain Analysis References. Retrieved from accessed January 2014. http://www.fao.org/docs/up/easypol

Kaplinsky R, Morris M. 2002.  Handbook for value chain research. International Development Research Centre (IDRC), Ottawa. Retrieved from accessed January 2014. http://www.ids.ac.uk/ids/global/pdfs

Lobley M, Butler A, Courtney P, Ilbery B, Kirwan J, Maye D, Potter C, Winter M. 2009. Analysis of socio-economic aspects of local and national organic farming markets. University of Exeter Centre for Rural Policy Research. Retrieved from accessed February 2014. http://centres.exeter.ac.uk/crpr/publications/index.htm

Republic of the Philippines. Organic Agriculture Act of 2010: RA 10068. Retrieved from accessed January 2014. http://www.da.gov.ph/laws-issusances/republic-act-and-proclamations

Related Articles

Modelling the current and future distribution of Okoubaka aubrevillei Pellegr. & Normand under climate change scenarios in Côte d’Ivoire

Sié Fernand Pacôme Ouattara, Franck Placide Junior Pagny, Kouassi Bruno Kpangui, Int. J. Biosci. 27(5), 237-246, November 2025.

Proximate analysis of pelleted sorghum-based feeds as substitute for corn

I. I. Juan S. Daquioag, Michael M. Uy, Int. J. Biosci. 27(5), 232-236, November 2025.

Evolution of the weight of carcasses and offal of Cobb 500 broiler chickens according to the age of slaughter

Soro Soronikpoho, Kouadio Kouakou Parfait, Kouassi Koffi Dongo, Brou Gboko Konan Gatien, Int. J. Biosci. 27(5), 225-231, November 2025.

Agronomic performance of the newly pruned coffee trees at the CSU Lal-lo old coffee plantation

Maribel L. Fernandez, Florante Victor M. Balatico, Ronel A. Collado, Int. J. Biosci. 27(5), 217-224, November 2025.

A comprehensive review and meta-analysis on Alzheimer’s genetics: Exploring the genetic architecture and its application in future genomic medicine

Shafee Ur Rehman, Shabeer Khan, Muhammad Usman, Sakarie Khadar Ibrahim, Int. J. Biosci. 27(5), 204-216, November 2025.

Effect of aqueous leaf extract of Senna occidentalis (Fabaceae) on induced arrhythmia in Rabbits

Obrou Jean Luc Amiltone, Nagalo Ousmane, Mossoun Mossoun Arsène, Abo Kouakou Jean-Claude, Int. J. Biosci. 27(5), 198-203, November 2025.

Targeting proteolytic enzymes in the hemoglobin degradation pathway to inhibit Plasmodium falciparum: An in silico approach

Sethupathi Virumandi, Elumalai Balamurugan, Aakash Ganesan, Sowmiya Ganesan, Srinidhi Raveenthiran, Int. J. Biosci. 27(5), 182-197, November 2025.

Composition and variation of milk from Djallonké goats fed with different diets in Burkina Faso

Alice Gisèle Sidibé-Anago, Vinsoun Millogo, Assouan Gabriel Bonou, Remadji Rufine Djikoldingam, Mariétou Sissao, Michel Kéré, Guy Apollinaire Mensah, Int. J. Biosci. 27(5), 173-181, November 2025.