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Article
Publication date: 14 November 2016

Bonhee Chung, Fatimah Mohamed Arshad, Kusairi Mohd Noh and Shaufique Fahmi Sidique

The purpose of this paper is to examine the long-run profitability of rice milling operation in Malaysia and see how sensitive it is to changes in paddy purchases, rice recovery…

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Abstract

Purpose

The purpose of this paper is to examine the long-run profitability of rice milling operation in Malaysia and see how sensitive it is to changes in paddy purchases, rice recovery ratio and paddy price.

Design/methodology/approach

Using a purposive sampling technique and semi-structured interviews, seven rice mills in Malaysia were selected to obtain data on operational details and business accounts. The paper provides a qualitative and descriptive account of the rice mill’s profitability by using cost curves, a simple linear regression and the Monte Carlo simulation.

Findings

The rice milling operation in Malaysia is profitable in the long run, provided that there is a market for by-products. Large private mills have lower average costs, helping them obtain higher profit margins. Public mills that receive a rice miller subsidy are more protected than small private mills that operate without the rice miller subsidy and under price controls. Changes in paddy purchases, paddy price and recovery ratio affect the profitability to varying degrees.

Research limitations/implications

Incomplete information provided by the interviewees. The analysis result is only a rough estimate. However, it may provide a useful insight into the Malaysian rice milling sector and its competitiveness.

Originality/value

There are few economic studies of the rice milling sector in Malaysia. However, it plays an important role along the rice supply chain. There is a need for better understanding of the industry in order to obtain economic sustainability and effective policies. This paper provides the gap by providing an insight into the long-run profitability of rice milling operation in Malaysia.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 6 no. 2
Type: Research Article
ISSN: 2044-0839

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Book part
Publication date: 5 June 2023

Hoong Sang Wong and Chen Chen Yong

This chapter provided systematic and comprehensive analysis on trawl fisheries management and conservation measures in the Straits of Malacca. Detailed analysis is conducted on…

Abstract

This chapter provided systematic and comprehensive analysis on trawl fisheries management and conservation measures in the Straits of Malacca. Detailed analysis is conducted on Malaysian fishery management framework particularly domestic country's trawl fishery status, legal structure, input-control strategies, ecosystem protection plan, pollution, law enforcement, and complementary measures that designed to reduce and prevent overfishing in the exclusive economic zone (EEZ) of Malacca Straits. Gaps and challenges found in existing trawl fisheries literature are presented followed by recommendations for improvement in the management and conservation of trawl fisheries.

Details

Pragmatic Engineering and Lifestyle
Type: Book
ISBN: 978-1-80262-997-2

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Article
Publication date: 22 June 2021

Fahmi Ali Hudaefi, Rezzy Eko Caraka and Hairunnizam Wahid

Zakat during the COVID-19 outbreak has played a vital role and has been significantly discussed in the virtual environment. Such information about zakat in the virtual world…

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Abstract

Purpose

Zakat during the COVID-19 outbreak has played a vital role and has been significantly discussed in the virtual environment. Such information about zakat in the virtual world creates unstructured data, which contains important information and knowledge. This paper aims to discover knowledge related to zakat administration during the pandemic from the information in a virtual environment. Furthermore, the discussion is contextualised to the socio-economic debates.

Design/methodology/approach

This is a qualitative study operated via text mining to discover knowledge of zakat administration during the COVID-19 pandemic. The National Board of Zakat Republic of Indonesia (BAZNAS RI) is selected for a single case study. This paper samples BAZNAS RI’s situation report on COVID-19 from its virtual website. The data consists of 40 digital pages containing 19,812 characters, 3,004 words and 3,003 white spaces. The text mining analytical steps are performed via RStudio. The following R packages, networkD3, igraph, ggraph and ggplot2 are used to run the Latent Dirichlet Allocation (LDA) for topic modelling.

Findings

The machine learning analysis via RStudio results in the 16 topics associated with the 3 primary topics (i.e. Education, Sadaqah and Health Services). The topic modelling discovers knowledge about BAZNAS RI’s assistance for COVID-19 relief, which may help the readers understand zakat administration in times of the pandemic from BAZNAS RI’s virtual website. This finding may draw the theory of socio-economic zakat, which explains that zakat as a religious obligation plays a critical role in shaping a Muslim community's social and economic processes, notably during the unprecedented times of COVID-19.

Research limitations/implications

This study uses data from a single zakat institution. Thus, the generalisation of the finding is limited to the sampled institution.

Practical implications

This research is both theoretically and practically important for academics and industry professionals. This paper contributes to the novelty in performing text mining via R in gaining knowledge about the recent zakat administration from a virtual website. The finding of this study (i.e. the topic modelling) is practically essential for zakat stakeholders to understand the contribution of zakat in managing the COVID-19 impacts.

Social implications

This work derives a theory of “socio-economic zakat” that explains the importance of a zakat institution in activating zakat for managing socio-economic issues during the pandemic. Thus, paying zakat to an authorised institution may actualise more maslahah (public interest) compared to paying it directly to the asnaf (zakat beneficiaries) without any measurement

Originality/value

This study is among the pioneers in gaining knowledge from Indonesia’s zakat management during the COVID-19 outbreak via text mining. The authors’ way of analysing data from the virtual website using RStudio can advance Islamic economics literature.

Details

International Journal of Islamic and Middle Eastern Finance and Management, vol. 15 no. 2
Type: Research Article
ISSN: 1753-8394

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