JOURNAL ARTICLE

Input-Output Approach to Assess the Economic Effects of Final Demand for the Machinery and Equipment Industry.

  • Published In: Journal of Business & Economics Review (JBER), 2025, v. 10, n. 2. P. 84 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Zainuddin, Nuur Rasyiqah; Chen Yong, Chen 3 of 3

Abstract

Objective - This study aims to identify Malaysia's machinery and equipment (M&E) industry local supply chain, classify its key industries, and estimate the economic effects of changes in final demand within the industry. Methodology - This study employs a quantitative input–output analysis to assess both the strength and distance of linkages between the machinery and equipment (M&E) industry and other sectors in Malaysia. Industries are classified according to normalized backward and forward linkages, and multiplier analyses are used to evaluate the economic effects of changes in final demand for the M&E industry. Findings - Results indicate that the M&E industry in Malaysia is primarily a backward linkage-oriented sector, stimulating growth in upstream industries through its demand for inputs. The analysis further identifies five key industries, including M&E, within its supply chain. Scenario-based multiplier simulations reveal negative economic impacts from reduced export demand for the M&E industry, but positive impacts from investment in the M&E sector and its related industries. The results also indicate the M&E industry's reliance on external demand. Novelty - This study demonstrates the value of systems thinking by integrating scenario analysis with supply-chain linkages, industrial classifications, and multiplier effects to produce a more comprehensive economic assessment. The approach highlights potential policy insights for improving public resource allocation in Malaysia. Type of Paper - Empirical [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Business & Economics Review (JBER). 2025/07, Vol. 10, Issue 2, p84
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:2636-9184
  • DOI:10.35609/jber.2025.10.2(5)
  • Accession Number:188392882
  • Copyright Statement:Copyright of Journal of Business & Economics Review (JBER) is the property of Global Academy of Training & Research (GATR) Enterprise and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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