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Assessment of Pesticide Use Reduction Strategies for Thai Highland Agriculture - Combining Econometrics and Agent-based Modelling

English · Hardback

Description

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This study combines econometrics and agent-based modelling to evaluate the impacts of a range of pesticide use reduction strategies in the context of Thai highland agriculture. Pesticide productivity and pesticide overuse are quantified, while determinants of the adoption of innovations in pesticide use reduction are estimated. On that basis, the Mathematical Programming-based Multi Agent System (MPMAS), a bio-economic simulation model, is used to ex-ante assess the adoption of Integrated Pest Management (IPM) in combination with a series of market-based instruments that boost the transition to more sustainable pest control practices. The MPMAS simulation results demonstrate that, over five years, it is possible to bring down levels of pesticide use significantly without income trade-offs for farm agents. A proportional tax, increasing the price of synthetic pesticides by 50% on average, together with bio-pesticide subsidies for IPM proves to be the most cost-effective and practicable policy package. IPM practices are adopted by up to 75% of farm agents and pesticide use reductions reach up to 34%.

List of contents

Contents: Combination of econometrics and agent-based modelling - Assessment of the impacts of pesticide use reduction strategies in the context of Thai highland agriculture - Significant pesticide use reduction possible without income trade-offs for farm agents - Policy package with pesticide taxes plus bio-pesticide subsidies for IPM most cost-effective and practicable.

Product details

Authors Christian Grovermann, Christian C. W. Grovermann
Assisted by Franz Heidhues (Editor)
Publisher Peter Lang
 
Languages English
Product format Hardback
Released 01.01.2015
 
EAN 9783631657843
ISBN 978-3-631-65784-3
No. of pages 197
Dimensions 148 mm x 17 mm x 210 mm
Weight 410 g
Series Development Economics and Policy
Development Economics and Policy
Subject Natural sciences, medicine, IT, technology > Biology > Agriculture, horticulture; forestry, fishing, food

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