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Assessment of pesticide use reduction strategies for Thai highland agriculture : combining econometrics and agent-based modelling

Author: Christian C W Grovermann
Publisher: New York : Peter Lang, 2015.
Series: Development economics and policy, Bd. 73.
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:

The book assesses the impacts of pesticide use reduction strategies in the context of Thai highland agriculture. It shows that it is possible to bring down levels of pesticide use without income  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Grovermann, Christian C.W. (Christian Cornelius Wilhelm), 1982-
Assessment of pesticide use reduction strategies for Thai highland agriculture.
(DLC) 2014049517
(OCoLC)899949890
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christian C W Grovermann
ISBN: 9783653051346 3653051347
OCLC Number: 907238528
Description: 1 online resource.
Contents: Cover; Acknowledgements; Summary; Zusammenfassung; Table of Contents; List of Tables; List of Figures; Abbreviations; 1. Introduction; 1.1 Problem statement; 1.2 State of the art and research gaps; 1.2.1 Optimal pesticide use and pesticide overuse; 1.2.2 Diffusion and adoption of innovations to reduce pesticide use; 1.2.3 Assessment of pesticide use reductions; 1.3 Research objectives; 1.4 Pesticide policy background; 1.5 Structure of the thesis; 2. Materials; 2.1 Study area selection and data collection; 2.2 Farm characteristics in the study area; 2.3 Land-use in the study area. 2.3.1 Description of cropping patterns2.3.2 Categorisation and selection of land-uses; 2.4 Pest pressure, pest management and pesticide use in the study area; 2.5 Vegetable IPM, the Royal Project and sustainable intensification; 3. Methods; 3.1 Quantification of pesticide productivity and pesticide overuse from farmer as well as from societal points of view; 3.1.1 Conceptual frame; 3.1.2 Specification of the production functions; 3.1.3 Econometric estimation of pesticide productivity; 3.1.4 Quantification of the external costs of pesticide use. 3.2 Innovation diffusion and adoption probabilities3.2.1 Agricultural technologies and the theory of innovation diffusion; 3.2.2 Specification of the adoption regression model; 3.2.3 Innovativeness ranking and categorisation; 3.2.4 Econometric estimation of adoption probabilities; 3.3 Model description of the MPMAS Mae Sa watershed application; 3.3.1 The methodological context of MPMAS; 3.3.2 Model set-up and dynamics; 3.3.3 Asset allocation to create the agent population; 3.3.4 Random spatial allocation of plots and other spatial inputs; 3.3.5 The decision-making component. 3.3.6 Investment objects and innovation diffusion3.3.7 Innovativeness ranking and adopter categorisation of agents; 3.3.8 Perennial crops; 3.3.9 Crop water demand and yields; 3.3.10 Irrigation water supply; 3.3.11 Farmgate selling, input prices and other input data; 3.3.12 Tax collection and compensation payments; 3.3.13 SWAT-based pesticide use constraints --
chlorothalonil and cypermethrin; 3.4 Scenario specifications of simulation experiments; 3.4.1 Pesticide taxes; 3.4.2 IPM access and pesticide taxes; 3.4.3 IPM access and adoption incentives; 3.4.4 Policy mixes. 3.4.5 SWAT-based pesticide use regulation scenarios4. Model verification and validation; 4.1 Verification of asset allocations; 4.2 Validation of outcome variables; 4.3 Testing of innovation diffusion and adoption process; 5. Results; 5.1 Private and social levels of optimal pesticide use and overuse; 5.2 Adoption of GAP standard; 5.3 Simulation experiments; 5.3.1 The baseline scenario; 5.3.2 Impact of tax interventions; 5.3.3 Impact of IPM adoption with and without pesticide taxes; 5.3.4 Impact of IPM adoption with adoption incentives; 5.3.5 Impact of intervention mixes.
Series Title: Development economics and policy, Bd. 73.
Responsibility: Christian C.W. Grovermann.

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