Evaluating underlying barriers and development pathways for photovoltaic solar energy in China using the grey analytic hierarchy process

Purpose China has made tremendous progress in its clean energy transition over the past 2 decades, with a focus on a diverse mix of renewable energy sources. However, despite this progress, the widespread deployment of solar photovoltaic (PV) in China faces significant challenges that could hamper its future development. Addressing these challenges is essential for China to meet its ambitious clean energy targets. This research aims to prioritize country-specific barriers and strategies for solar PV development using the grey analytic hierarchy process (grey-AHP). Design/methodology/approach In the context of solar PV, this research identified 17 country-specific barriers through a systematic literature review. The identified barriers were validated by the experts and were further categorized into six groups: technological, financial, sociocultural, policy and regulatory, infrastructural and geographical. Six strategies were presented to overcome these barriers to solar PV. The grey-AHP model was then applied to assess and prioritize both the barriers and the proposed strategies. Findings The results show that financial challenges and grid integration issues are the most significant barriers to the development of solar PV in China. The findings suggest that research and development may play a fundamental role in addressing these barriers. Originality/value The grey-AHP model allows a more precise assessment of the relative importance of each barrier and the effectiveness of strategies.

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Publication Details

Journal
Grey Systems Theory and Application
Published
2025-04-14
DOI
https://doi.org/10.1108/gs-11-2024-0133
Citations
6
Primary Topic
Grey System Theory Applications
Type
article
Field-Weighted Citation Impact
12.64
Controls
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article

Evaluating underlying barriers and development pathways for photovoltaic solar energy in China using the grey analytic hierarchy process

Ismail Kamdar, Sifeng Liu
6 citations
Grey Systems Theory and Application
Grey System Theory Applications
12.64
article

Evaluating underlying barriers and development pathways for photovoltaic solar energy in China using the grey analytic hierarchy process

Ismail Kamdar, Sifeng Liu
article en
6 citations

Abstract

Purpose China has made tremendous progress in its clean energy transition over the past 2 decades, with a focus on a diverse mix of renewable energy sources. However, despite this progress, the widespread deployment of solar photovoltaic (PV) in China faces significant challenges that could hamper its future development. Addressing these challenges is essential for China to meet its ambitious clean energy targets. This research aims to prioritize country-specific barriers and strategies for solar PV development using the grey analytic hierarchy process (grey-AHP). Design/methodology/approach In the context of solar PV, this research identified 17 country-specific barriers through a systematic literature review. The identified barriers were validated by the experts and were further categorized into six groups: technological, financial, sociocultural, policy and regulatory, infrastructural and geographical. Six strategies were presented to overcome these barriers to solar PV. The grey-AHP model was then applied to assess and prioritize both the barriers and the proposed strategies. Findings The results show that financial challenges and grid integration issues are the most significant barriers to the development of solar PV in China. The findings suggest that research and development may play a fundamental role in addressing these barriers. Originality/value The grey-AHP model allows a more precise assessment of the relative importance of each barrier and the effectiveness of strategies.

Grey Systems Theory and ApplicationVol. 15(3)
Northwestern Polytechnical University (CN), Xi’an University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 2%
Grey System Theory Applications
12.64
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