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Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach
Education Sciences Pub Date : 2020-12-09 , DOI: 10.3390/economies8040108
Saqib Ali , Petra Poulova , Ahsan Akbar , Hafiz Muhammad Usama Javed , Muhammad Danish

Accelerating demand for energy and its consumption has become a credible threat to the sustainable ecosystem due to the exploitation of scarce natural resources and environmental hazards. The adoption of renewable energy sources for sustainable development has been gaining traction among researchers and practitioners alike. Considering its hot climate, Pakistan has a huge potential to meet its energy requirements by tapping into renewable energy resources, especially through the use of solar photovoltaic (SPV) technologies. However, the adoption rate of this technology remains still quite scant among consumers. In this regard, the present research explores the factors that affect households’ purchase intention of SPV technology in Pakistan. The study has developed a comprehensive research framework by decomposing the technology acceptance model (DTAM) into second-order sub-constructs. Afterward, Structural equation modeling (SEM) was employed to analyze the data by decomposing perceived usefulness (PU) into social, economic, and environmental usefulness and perceived ease of use (PEOU) into discomfort and insecurity and to assess their cumulative effects on consumer attitude. Moreover, the moderating role of policy and propaganda was also investigated. Empirical results assert that PU and PEOU positively and significantly shape the consumer attitude toward SPV adoption. Subsequently, consumer attitude has a positive and significant impact on the actual purchase intention of SPV technology. Furthermore, the moderating role of governmental policy and propaganda between the consumer attitude and actual purchase intention was also confirmed. The policy implications of these results are discussed. Finally, the limitations and future directions of the research are also elaborated.

中文翻译:

确定巴基斯坦采用太阳能光伏技术的影响因素:分解技术接受模型方法

由于对稀缺自然资源的利用和环境危害,对能源及其消耗的加速需求已成为对可持续生态系统的可靠威胁。在研究人员和从业人员中,采用可再生能源促进可持续发展一直受到人们的关注。考虑到其炎热的气候,巴基斯坦通过利用可再生能源特别是通过使用太阳能光伏(SPV)技术来满足其能源需求具有巨大潜力。但是,该技术的采用率在消费者中仍然很少。在这方面,本研究探讨了影响巴基斯坦家庭购买SPV技术的意愿的因素。通过将技术接受模型(DTAM)分解为二阶子结构,该研究已开发出一个全面的研究框架。之后,使用结构方程模型(SEM)通过将感知的有用性(PU)分解为社会,经济和环境有用性以及将感知的易用性(PEOU)分解为不适和不安全感来分析数据,并评估它们对消费者态度的累积影响。此外,还研究了政策和宣传的调节作用。实证结果表明,PU和PEOU积极且显着地影响了消费者对采用SPV的态度。随后,消费者的态度对SPV技术的实际购买意图产生了积极而重大的影响。此外,还确认了政府政策和宣传在消费者态度和实际购买意愿之间的调节作用。讨论了这些结果的政策含义。最后,阐述了研究的局限性和未来发展方向。
更新日期:2021-02-03
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