Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment

Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment
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DOI:
10.1016/j.enpol.2020.112004
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发表时间:
2021-01-01
期刊:
影响因子:
9
通讯作者:
Hart, Phil
Hart, Phil
中科院分区:
经济学2区
文献类型:
--
作者:
Balta-Ozkan, Nazmiye;Yildirim, Julide;Hart, Phil

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越来越多的文献强调太阳能光伏(PV)采用模式存在空间差异。前瞻性规划的核心是了解影响光伏增长的因素,但文献中对光伏采用决定因素的了解有限。哪些因素推动了地方层面的采用?这些因素的影响在地理上是一致的还是存在细微差别?这些细微差别的本质是什么?迄今为止,现有研究使用聚合宏观数据集,捕捉同伴效应作用的能力有限。本文考虑了一些既定变量,但也扩大了变量基础,以尝试确定与光伏采用相关的新指标。具体来说,它使用慈善机构数量数据作为代理,分析英国地方层面的国内光伏采用情况,以捕捉发起社会互动和同伴效应的机会。地理加权回归模型考虑了光伏采用与社会经济解释变量之间的空间变化关系,显示出比全局回归更大的可变性。我们的结果表明,慈善机构和自营职业对光伏发电的吸收产生积极影响,而人口密度等其他社会经济变量则具有双向影响。
A growing literature highlights the presence of spatial differences in solar photovoltaic (PV) adoption patterns. Central to forward planning is an understanding of what affects PV growth, yet insights into the determinants of PV adoption in the literature are limited. What factors do drive the adoption at local level? Are the effects of these factors geographically uniform or are there nuances? What is the nature of these nuances? Existing studies so far use aggregate macro datasets with limited ability to capture the role of peer effects. This paper considers some established variables but also broadens the base of variables to try to identify new indicators relating to PV adoption. Specifically, it analyses domestic PV adoption in the UK at local level using data on the number of charities as a proxy to capture the opportunities to initiate social interactions and peer effects. A geographically weighted regression model that considers the spatially varying relationship between PV adoption and socioeconomic explanatory variables reveals significantly more variability than the global regression. Our results show that charities and self-employment positively influence PV uptake while other socio-economic variables such as population density has bidirectional impacts.