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3.10 Informe de salida

3.10.1 Crear informe

This study contributes to the empirical knowledge of the study by capitalising on the system dynamics methodology in understanding the determination of desired paddy deduction rate for both the farmers and millers in the MADA granary area. The findings from this study are useful for the key industry players as well as policy makers. The study is useful in examining the impact of policy changes in affecting the deduction rate on farmers’ income and millers’ profit. 1.6 Organization of the Study

This study is structured as follows. Chapter 1 begins with a brief discussion on the government role and intervention in the paddy and rice supply chain in Malaysia. The chapter goes on by describing the problem, research questions, research objectives and significance of the study.

Next, Chapter 2 deliberates on the paddy deduction system in the MADA granary area. Procedures of deduction practices in the granary area are also highlighted. Several deduction practices in the neighboring countries (e.g. Thailand, Viet Nam, Indonesia, Philippines) are also discussed.

Chapter 3 ensues by highlighting the literature on the system dynamics methodology and reviewing empirical studies related to the paddy and rice sector. The advantages of system dynamics modeling and comparison between the system dynamics approach and other methodologies are also presented. Chapter 4 discusses the research methodology and describes how this study utilizes the system dynamics in accordance with the recommended steps in the SD modelling. This chapter subsequently illustrates the resulting models i.e. causal loop and stock-and-flow diagrams for each sub-sector under study, followed by the description of loop in each sub-model. Key variables and parameters are reported together for each sub-model.

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Then, Chapter 5 discusses the results, which are obtained based on the number of simulations of selected scenarios. The simulation results are disaggregated in two i.e. model validation and model testing for different key variables. Each simulation is illustrated by graphs of simulated and actual outputs based on the different scenarios. The discussion on the findings are successively presented. Finally, Chapter 6 concludes the study by presenting summary of the study, general conclusions, recommendations for policy makers and industry stakeholders, and recommendations for future research.

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