Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research

Ramit Debnath (), Sarah Darby, Ronita Bardhan, Kamiar Mohaddes and Minna Sunikka-Blank

Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge

Abstract: Text-based data sources like narratives and stories have become increasingly popular as critical insight generator in energy research and social science. However, their implications in policy application usually remain superficial and fail to fully exploit state-of-the-art resources which digital era holds for text analysis. This paper illustrates the potential of deep-narrative analysis in energy policy research using text analysis tools from the cutting-edge domain of computational social sciences, notably topic modelling. We argue that a nested application of topic modelling and grounded theory in narrative analysis promises advances in areas where manual-coding driven narrative analysis has traditionally struggled with directionality biases, scaling, systematisation and repeatability. The nested application of the topic model and the grounded theory goes beyond the frequentist approach of narrative analysis and introduces insight generation capabilities based on the probability distribution of words and topics in a text corpus. In this manner, our proposed methodology deconstructs the corpus and enables the analyst to answer research questions based on the foundational element of the text data structure. We verify theoretical compatibility through a meta-analysis of a state-of-the-art bibliographic database on energy policy, narratives and computational social science. Furthermore, we establish a proof-ofconcept using a narrative-based case study on energy externalities in slum rehabilitation housing in Mumbai, India. We find that the nested application contributes to the literature gap on the need for multidisciplinary methodologies that can systematically include qualitative evidence into policymaking.

Keywords: energy policy; narratives; topic modelling; computational social science; text analysis; methodological framework (search for similar items in EconPapers)
JEL-codes: Q40 Q48 R28 (search for similar items in EconPapers)
Date: 2020-07-14
New Economics Papers: this item is included in nep-big, nep-cmp and nep-ene
Note: rd545, rb867, km418, mms45
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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