Emmy Farha Alias

Modelling of Food Security in Malaysia

In the previous chapter, a case study on modelling and policy implication of hilsa fish population in Bangladesh has been presented. This chapter presents modelling of food security in Malaysia as a case study and application of system dynamics. The model is organised as (1) introduction, (2) dynamic hypothesis, (3) causal loop diagram, (4) stock–flow diagram, (5) model validation, (6) simulation and policy analysis and (7) conclusion. The findings suggest that gradual transition to bio-fertiliser, funding for R&D for development of high-yielding hybrid rice and increasing the cropping intensity hold big promise towards productivity enhancement. The promotion training and extension services using participatory approach of learning by doing or the farmer field schools are desirable to reduce the productivity gap.

Modelling of supply chain of rice in Bangladesh

ABSTRACTRice supply chain in Bangladesh is a focus for considerations of food security and climate change impacts. Although Bangladesh is self-sufficient in rice, supply chain management lacks efficiency and results in artificial crisis and price volatility. This paper presents a system dynamics model of supply chain of rice starting from the farmers to the consumers to address supply chain management scenarios and design the policy options for efficient and sustainable supply chain management of rice in Bangladesh to ensure the availability of rice to the consumers in an economic manner under uncertainty. Towards these ends, the impacts of productivity changes of the seasonal production of rice, lead time and demand average variability on the supply chain performances are assessed and different management policies are analysed. Initially drying the rice and round the year operation of the milling industries stabilises not only the milling inventory but also the whole system. Also less total supply chain ...

Assessing Dynamics of Palm Oil Import Demand: The Case of Six Asian Countries

ABSTRACT This article uses annual data to investigate the palm oil import demand in selected Asian countries (India, China, Japan, Bangladesh, Korea, and Pakistan) through using the autoregressive distributed lag (ARDL) technique. The findings of the study show that the palm oil and substitute oils prices and the national income of the importing countries are significant determinants of palm oil demand across the six models. Other factors such as biofuel mandate, trade policies, and exchange rate also proved to be important factors affecting import demand for palm oil in some of these countries.