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Consumers’ intention-based influence factors of renewable power generation technology utilization: A structural equation modeling approach
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2019-07-22 , DOI: 10.1016/j.jclepro.2019.117737
Gul Jabeen , Qingyou Yan , Munir Ahmad , Nousheen Fatima , Shoaib Qamar

Since the implementation of renewable power generation technologies (RPTs) is a multifaceted and complex procedure influenced by a diverse range of factors, it induces ever evolving traction of researchers to investigate those influence factors. The aim of this research is to investigate the factors affecting consumers' intention to utilize RPTs for domestic use in Pakistan. In order to have a better understanding of the behavioral construct of consumers to adopt or prohibit the RPTs, the current study has contributed through augmenting the structure of planned behavior theory by introducing a vital influence factor of lack of access to electricity in remote areas. The findings of the current study are derived from the calculations conducted on primary data compiled from 230 Pakistani households in provincial capitals including Karachi, Lahore, Quetta, and Peshawar, and the federal capital Islamabad through conducting a comprehensive survey. The propositions are examined employing the state of art technique called structural equation modeling (SEM). The statistical findings revealed that, on the one hand, the influence factors including subjective norms, attitudinal construct, relative advantage, perceived behavioral control, and lack of access to electricity imparted positive influence on consumers' intention to utilize RPTs in Pakistan. On the other hand, the cost is found to induce prohibition impact on consumers' intention to utilize RPTs. Notably, the moral norms, environmental concern, environmental knowledge, and awareness are revealed to impart neutral influence on consumers’ intention to utilize RPTs. Based on the empirical findings, vital and useful policy guidelines are suggested in this study.

中文翻译:


基于消费者意图的可再生能源发电技术利用影响因素:结构方程建模方法



由于可再生能源发电技术(RPT)的实施是一个多方面且复杂的过程,受到多种因素的影响,因此它不断吸引研究人员研究这些影响因素。本研究的目的是调查影响巴基斯坦消费者使用 RPT 进行家庭使用的意愿的因素。为了更好地理解消费者采用或禁止 RPT 的行为结构,当前的研究通过引入偏远地区缺乏电力的重要影响因素,增强了计划行为理论的结构。本研究的结果是通过对卡拉奇、拉合尔、奎达、白沙瓦等省会城市和联邦首都伊斯兰堡的230个巴基斯坦家庭的原始数据进行综合调查计算得出的。这些命题采用称为结构方程建模 (SEM) 的最先进技术进行检验。统计结果显示,一方面,主观规范、态度建构、相对优势、感知行为控制、缺乏电力等影响因素对巴基斯坦消费者使用RPT的意愿产生了积极影响。另一方面,成本被发现会对消费者使用RPT的意愿产生禁止影响。值得注意的是,道德规范、环境关注、环境知识和意识对消费者使用RPT的意愿产生中性影响。根据实证研究结果,本研究提出了重要且有用的政策指南。
更新日期:2019-07-22
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