JOURNAL ARTICLE

Impact of policy instruments for solar energy development in Vietnam.

  • Published In: Journal of Business & Economics Review (JBER), 2025, v. 10, n. 1. P. 36 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Phuong Nguyen, Minh; Nguyen, Nga 3 of 3

Abstract

Objective - This study analyzes the development of renewable energy in ASEAN and delves into specific promotion instruments for solar energy in Vietnam. Method Cost-benefit analysis was conducted to compare economic benefits with investment and operating costs. Methodology - Vietnam was entering a period of transformation in the field of renewable energy, especially solar energy (installed solar power capacity was 16,000 MW in 2023, intending to increase to 25,320 MW in 2030). Compared to ASEAN countries with many similarities in developing this industry, such as Indonesia (solar power capacity was 2,100 MW in 2023), Vietnam faced an excellent opportunity to surpass. Findings - The results of the study show that government instruments had different levels of influence on various aspects, and the most influential were the FIT tariff (243.75 points) and tax exemption (49.71 points). Novelty - Although solar energy in Vietnam is developing rapidly, it is still necessary to improve and develop reasonable allocation strategies for supporting policies and incentive mechanisms to optimize economic benefits. Type of Paper - Empirical [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Business & Economics Review (JBER). 2025/04, Vol. 10, Issue 1, p36
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2025
  • ISSN:2636-9184
  • DOI:10.35609/jber.2025.10.1(1)
  • Accession Number:186647295
  • 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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