Using the Capability Approach as a normative perspective on energy justice: Insights from two case studies on digitalisation in the energy sector
Using the Capability Approach as a normative perspective on energy justice: Insights from two case studies on digitalisation in the energy sector
复制标题
使用能力方法作为能源正义的规范视角：能源行业数字化两个案例研究的见解
DOI：
10.1080/19452829.2021.1901672
复制
发表时间：
2021
影响因子：
1.5
通讯作者：
J. Schippl
中科院分区：
文献类型：
--
作者：
R. Hillerbrand;Christine Milchram;J. Schippl
摘要本文通过评估能源行业两个数字化案例的影响，探讨了能力方法（CA）如何丰富能源正义的概念。数字化承诺为能源领域的紧迫挑战提供技术解决方案，例如气候变化和化石燃料短缺。当前对这些解决方案的学术和流行讨论主要是技术乌托邦理想，这有时会掩盖复杂的道德和社会挑战。此外，能源部门的技术评估往往侧重于可持续性的环境和经济方面，而能源公正或更广泛的道德关切问题往往不是优先事项。在本文中，我们将探讨努斯鲍姆的CA版本是否可以作为一个系统的方法来评估的技术选择，有助于使能源正义成为焦点。从能源系统的两个不同领域的例子，即电力部门的智能电网和移动部门的自动驾驶汽车，我们证明了CA提供了一个规范性框架，允许个人审议的方面，因此非常适合作为社会科学中能源正义概念的规范性度量。
ABSTRACT This paper explores how the Capability Approach (CA) can enrich the concept of energy justice by assessing the impact of two cases of digitalisation in the energy sector. Digitalisation promises technical solutions to pressing challenges in the energy sector such as climate change and fossil fuel scarcity. Current academic and popular discussions of these solutions are dominated by a techno-utopian ideal, which sometimes obscures complex ethical and social challenges. Furthermore, technology assessment in the energy sector often focuses on environmental and economic aspects of sustainability, while issues of energy justice or broader ethical concerns are often a low priority. In this paper, we explore whether Nussbaum’s version of the CA can be used as a systematic approach to the assessment of technological options that helps bring energy justice into the spotlight. Drawing on examples from two different areas of the energy system, namely, smart grids for the electricity sector and autonomous vehicles for the mobility sector, we demonstrate that the CA provides a normative framework that allows for aspects of individual deliberation and as such is well suited as a normative metric for the conception of energy justice in social science.
DOI：
10.1016/j.tra.2017.09.012
发表时间：
2018-09-01
影响因子：
6.4
作者：
Docherty, Iain;Marsden, Greg;Anable, Jillian
通讯作者：
Anable, Jillian
影响因子：
9
作者：
Day, Rosie;Walker, Gordon;Simcock, Neil
通讯作者：
Simcock, Neil