five

Evaluation of Green Investment in Solar Photovoltaic Power Plants Using Analytical Hierarchy Process in Archipelago

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://data.mendeley.com/datasets/pyhd85vf4p
下载链接
链接失效反馈
官方服务:
资源简介:
This study evaluates green investment in solar photovoltaic (PV) power plants in Indonesia’s archipelago using the Analytical Hierarchy Process (AHP). Despite the national renewable energy (RE) target of 23% by 2025, the development of wind and solar projects remains constrained by high investment risks, inadequate infrastructure, and regulatory uncertainties. As an archipelagic country with abundant solar resources, Indonesia faces the dual challenge of mobilizing sustainable financing while reducing reliance on fossil-fuel-based diesel plants. The research aims to identify and prioritize determinants influencing green investment decision-making for solar PV in archipelago. Data were gathered through structured questionnaires and interviews with 75 respondents, of which 35 responses met the AHP consistency ratio requirement. The four-level hierarchical model reveals that policy factors (0.4825) exert the strongest influence, followed by economic (0.3120) and technical (0.2055) factors. At the sub-criteria level, profitability (0.7724), renewables obligation (0.6055), and technological maturity (0.6020) rank highest, highlighting the role of financial viability, regulatory enforcement, and proven technology in shaping investment attractiveness. The findings show policymakers favor short-term fiscal support, whereas researchers and practitioners stress long-term regulatory certainty and financing accessibility. The study’s novelty lies in integrating multi-stakeholder perspectives into a structured model, offering quantitative insights for green finance strategies.

本研究采用层次分析法(Analytical Hierarchy Process,AHP),针对印度尼西亚群岛地区的太阳能光伏(Solar Photovoltaic,PV)电站绿色投资开展评估。尽管印尼设定了到2025年可再生能源(Renewable Energy,RE)占比达23%的国家目标,但风电与光伏项目的发展仍受限于高额投资风险、基础设施短板以及监管政策不确定性等问题。作为太阳能资源禀赋丰富的群岛国家,印尼同时面临双重挑战:一方面需撬动可持续融资渠道,另一方面需降低对化石燃料柴油发电的依赖。本研究旨在识别并排序影响群岛地区太阳能光伏绿色投资决策的核心影响因素。研究通过结构化问卷与访谈共收集75份受访者数据,其中35份回复满足层次分析法的一致性比率要求。该四级层次模型结果显示,政策因素(权重值0.4825)的影响力居于首位,其次为经济因素(0.3120)与技术因素(0.2055)。在子准则层面,盈利能力(0.7724)、可再生能源义务(0.6055)与技术成熟度(0.6020)得分位列前三,凸显了财务可行性、监管执行与成熟技术对提升投资吸引力的关键作用。研究结果显示,政策制定者更青睐短期财政支持,而研究者与行业从业者则更强调长期监管确定性与融资可得性。本研究的创新之处在于将多利益相关方视角融入结构化分析模型,可为绿色金融战略制定提供量化分析依据。
创建时间:
2025-09-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作