论文标题

探索非住宅技术采用:对德国采用光伏系统相关的因素的实证分析

Exploring non-residential technology adoption: an empirical analysis of factors associated with the adoption of photovoltaic systems by municipal authorities in Germany

论文作者

Springsklee, Maren, Scheller, Fabian

论文摘要

这篇研究文章探讨了2019年德国市政当局采用太阳能光伏(PV)系统的潜在影响因素。我们从有关住宅PV采用,组织技术采用,以及可持续性政策采用的经验文献中得出了七个假设的关系,并采用了Twoford empiroltic empirolical empiractic empiractic empiractic empiract。首先,我们探讨了OLS模型中采用者市政当局安装能力(n = 223)的一组解释变量的关联。其次,我们使用logit模型来分析采用者和非辅助市政当局之间是否显而易见的关系(n = 423)。我们的发现表明,财政能力(通过人均债务和人均税收收入来衡量)和同伴效应(通过已有的安装能力来衡量)与已安装能力和采用量均呈正相关。此外,我们发现机构能力(通过市政公用事业的存在衡量)和环境问题(通过绿党票数的份额衡量)与采用市政PV的采用呈正相关。在两个回归模型中,经济因素(通过太阳辐射衡量)均显示出显着的积极但较小的影响。没有发现证据支持政治意志的影响。市政特征作用的结果是不同的,尽管人口规模始终与市政PV的采用和安装能力呈正相关。我们的结果支持先前关于PV系统采用决定因素的研究,并为非住宅决策和PV采用的其他研究提供了一个起点。

This research article explores potential influencing factors of solar photovoltaic (PV) system adoption by municipal authorities in Germany in the year 2019. We derive seven hypothesized relationships from the empirical literature on residential PV adoption, organizational technology adoption, and sustainability policy adoption by local governments, and apply a twofold empirical approach to examine them. First, we explore the associations of a set of explanatory variables on the installed capacity of adopter municipalities (N=223) in an OLS model. Second, we use a logit model to analyze whether the identified relationships are also apparent between adopter and non-adopter municipalities (N=423). Our findings suggest that fiscal capacity (measured by per capita debt and per capita tax revenue) and peer effects (measured by the pre-existing installed capacity) are positively associated with both the installed capacity and adoption. Furthermore, we find that institutional capacity (measured by the presence of a municipal utility) and environmental concern (measured by the share of green party votes) are positively associated with municipal PV adoption. Economic factors (measured by solar irradiation) show a significant positive but small effect in both regression models. No evidence was found to support the influence of political will. Results for the role of municipal characteristics are mixed, although the population size was consistently positively associated with municipal PV adoption and installed capacity. Our results support previous studies on PV system adoption determinants and offer a starting point for additional research on non-residential decision-making and PV adoption.

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