推动可持续能源转型:通过行为分析了解马来西亚住宅屋顶太阳能光伏的采用

Sook-Theng Lam , Kian-Meng Yap , Keat-Hoe Yeoh
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引用次数: 0

摘要

马来西亚的目标是到2050年实现碳中和,通过向低碳电力过渡来应对气候变化。鉴于马来西亚阳光充足,2019年电力行业的碳排放量占总排放量的36%,太阳能光伏(PV)是一个关键的解决方案。虽然政府的路线图强调太阳能光伏,但改造市场仍未得到充分开发。本研究使用技术接受和使用统一理论(UTAUT2),考察经济、环境、社会、技术和监管因素,调查现有住宅屋顶太阳能光伏采用的障碍。结合定量调查和深度访谈,它确定了驱动因素和障碍,为政策制定者和利益相关者提供了可操作的见解,以加速采用和支持马来西亚的脱碳目标。SEM结果表明,绩效预期(PE, β = 0.311, p <;0.001),价格价值(PV, β = 0.245, p = 0.006),便利条件(FC, β = 0.311, p <;0.001)和环境关注(EC, β = 0.253, p <;0.001)显著预测采用屋顶太阳能光伏系统的行为意向(BI)。社会影响(SI, β = - 0.111, p = 0.165)、努力期望(EE, β = - 0.098, p = 0.266)和享乐动机(HM, β = 0.082, p = 0.167)差异均无统计学意义。该模型解释了88.6%的方差(R²= 0.886),具有较高的抽样充分性(KMO = 0.949)。然而,定性研究结果表明,社会影响在形成商业智能方面发挥着重要作用,突出了同行建议和社区看法的重要性。这些综合调查结果突出了在采用过程中考虑经济、社会和环境因素的重要性。这项研究扩大了UTAUT2对新技术研究的适用性,特别是屋顶太阳能光伏,为政策制定者和利益相关者提供了有价值的见解,以促进太阳能光伏的采用,并支持马来西亚的脱碳目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driving sustainable energy transition: Understanding residential rooftop solar photovoltaic adoption in Malaysia through a behavioural analysis
Malaysia aims to achieve carbon neutrality by 2050, addressing climate change by transitioning to low-carbon electricity. With the power sector contributing 36 % of carbon emissions in 2019, solar photovoltaic (PV) is a key solution, given Malaysia's abundant sunshine. While government roadmaps emphasize solar PV, the retrofit market remains underexplored. This study investigates barriers to rooftop solar PV adoption in existing houses using the unified theory of acceptance and use of technology (UTAUT2), examining economic, environmental, social, technological, and regulatory factors. Combining quantitative surveys and in-depth interviews, it identifies drivers and obstacles, providing actionable insights for policymakers and stakeholders to accelerate adoption and support Malaysia's decarbonization goals. Findings from SEM indicate that Performance Expectancy (PE, β = 0.311, p < 0.001), Price Value (PV, β = 0.245, p = 0.006), Facilitating Conditions (FC, β = 0.311, p < 0.001) and Environmental Concern (EC, β = 0.253, p < 0.001) significantly predict Behavioral Intention (BI) to adopt rooftop solar PV systems. Social Influence (SI, β = −0.111, p = 0.165), Effort Expectancy (EE, β = −0.098, p = 0.266) and Hedonic Motivation (HM, β = 0.082, p = 0.167) were statistically insignificant. The model explained 88.6 % of the variance (R² = 0.886), with high sampling adequacy (KMO = 0.949). However, qualitative findings reveal that Social Influence plays a significant role in shaping BI, highlighting the importance of peer recommendations and community perceptions. These integrated findings highlight the importance of considering economic, social, and environmental factors in the adoption process. This study expands the applicability of UTAUT2 to new technology research, particularly for rooftop solar PV, providing valuable insights for policymakers and stakeholders to promote solar PV adoption and support Malaysia's decarbonization goals.
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