The Resource Assessment of pesticide use reduction strategies for Thai highland agriculture : combining econometrics and agent-based modelling, Christian C. W. Grovermann

Assessment of pesticide use reduction strategies for Thai highland agriculture : combining econometrics and agent-based modelling, Christian C. W. Grovermann

Label
Assessment of pesticide use reduction strategies for Thai highland agriculture : combining econometrics and agent-based modelling
Title
Assessment of pesticide use reduction strategies for Thai highland agriculture
Title remainder
combining econometrics and agent-based modelling
Statement of responsibility
Christian C. W. Grovermann
Creator
Author
Subject
Language
eng
Member of
Cataloging source
N$T
Dewey number
628.1/684209593
Index
no index present
LC call number
SB950.3.T5
LC item number
G76 2015eb
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Development economics and policy,
Series volume
vol. 73
Label
Assessment of pesticide use reduction strategies for Thai highland agriculture : combining econometrics and agent-based modelling, Christian C. W. Grovermann
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Control code
ocn907238528
Dimensions
unknown
Edition
First edition
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783653051346
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
http://library.link/vocab/recordID
.b34301227
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)907238528
  • pebcs3653051347

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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