Completed Impact Studies

Environmental Impacts of Bt Eggplant in the Philippines [Download PDF]

Adoption of insect resistant biotech crops had shown to offer significant health and environmental benefits due to reduction in pesticide use.  In the Philippines, development of biotech eggplant that confer resistance to fruit and shoot borer (FSB) is underway.  This study aims to quantify environmental and health benefits of Bt eggplant using different valuation models available.  Health benefits are quantified using health costs function and risk avoidance model.  Environmental impacts are assessed by determining differences in field environmental impact quotient (EIQ) based on pesticide load of eggplant production using conventional hybrids and the Bt technology.


Costs and Benefits of the Papaya Ringspot Virus (PRSV) Resistant Technology in the Philippines [Download PDF]

The development of biotech crops entails long process and significant costs.  These include research costs in developing the technology and the regulatory costs that account for the real resources used, government regulation, transitional costs, and social welfare costs. As the experience to develop and regulate biotech crops increases, understanding the process and the costs involved becomes indispensable in rationalizing the whole biotechnology development and regulatory framework.  This study attempts to estimate development and regulatory costs involved in the development of PRSV resistant papaya in the Philippines.  Benefits that will accrue to both producers and consumers are quantified using economic surplus model.


Qaim, M. 1999.  Assessing the impact of banana biotechnology in Kenya.  ISAAA Briefs No. 10.  ISAAA: Ithaca, NY
[Download Brief 10 (PDF)]

This study provides an in-depth analysis of the potential impact of tissue culture (TC) technology in Kenyan banana production.  Potential yield and income gains at the farm level were assessed and the expected aggregate welfare effects of the technology were analyzed by means of an economic surplus model.


Qaim, M. 1999.  The economic effects of genetically modified orphan commodities: Projections for sweetpotato in Kenya.  ISAAA Briefs No. 13.  ISAAA: Ithaca, NY
[Download Brief 13 (PDF)]

This study assessed the potential impacts of the virus and weevil resistance technology in the Kenyan sweetpotato sector.  Interview surveys of researchers, extension workers, and farmers constitute the data basis for the quantitative analysis.  The potential effects of both technologies on farm incomes and productivities were analyzed by comparing crop enterprise budgets without and hypothetically with the use of the technologies.  The potential effects for the Kenyan sweetpotato market were also analyzed using an economic surplus model.


Yorobe, JM and CB Quicoy.  2006.  Economic impact of Bt corn in the Philippines. The Philippine Agricultural Scientist. 89(3):258-267.
[Download PDF]

In this study, ex-post farm level impacts of Bt corn adoption in major corn producing areas in the country were determined after one year of commercialization.  Differences in productivity and crop budgets of Bt and non-Bt corn farms were compared using data in two cropping seasons.  Market effects to the corn sector were also quantified using the standard consumer-producer surplus model.


Projected Impacts of Biotechnology Products in Indonesia and the Philippines.

The study complements the Agricultural Biotechnology Support Program II (ABSP-II) initiatives aimed at providing forward-looking evaluations of the market-level impacts of biotech products.  ABSP-II projects in Southeast Asia are focused on developing and commercializing five major biotech crops: fruit and shoot borer resistant (Bt) eggplant, ring-spot virus resistant (PRSV) papaya, and multiple-virus resistant tomato in the Philippines, and late blight resistant (LBR) potato and multiple-virus resistant tomato in Indonesia.  A basic economic impact analysis was conducted estimating potential economic benefits to society of these target biotech crops.  Income and cost effects were estimated using farm level budget under scenarios of “with” and “without” the technology.  The size and distribution of economic benefits to producers and consumers were quantified using economic surplus model.