Adbi, A., Agarwal, S., & Natarajan, S. (2025). Global heterogeneity in ETS rollouts and subsequent decarbonization outcomes. Energy Economics, 132, 108921. https://doi.org/10.1016/j.eneco.2025.108921

This study explores how emissions trading schemes (ETSs) worldwide influence decarbonization. It finds that while ETSs can reduce carbon intensity, emissions, and boost renewable energy adoption, their effectiveness varies across countries. Key factors include reliance on natural resource rents, economic development level, and whether ETSs are nationwide or partial. The research shows that higher ETS carbon prices strengthen emissions reductions, underscoring both the potential and limits of ETSs in driving global climate action.

Agarwal, S., Ghosh, P., & Zhang, J. (2025). Tax policy transmission and household expenditures.  The Review of Economics and Statistics 2025. https://doi.org/10.1162/rest_a_01584

Using a novel scanner data and difference-in-differences strategy, we assess how consumers respond to a large-scale tax reform in India that introduces exogenous variations in tax rate changes at the product level. We show evidence of a strong and persistent spending response to tax rate changes. The response is highly asymmetrical, with consumers responding significantly more strongly to tax rate increases than to decreases. We find empirical support for both intertemporal and cross-product substitution effects: Households (1) shift consumption forward preceding a tax increase and (2) substitute one good for another and alter their relative weight in the consumption basket to avoid paying higher tax. Heterogeneity analysis indicates that consumers with more personal shopping experience exhibit stronger consumption responses. Our findings have empirical implications for the efficacy of tax policy initiatives.

Santana, J. J., & Kim, S. (2025). From values to codes: A computational text analysis of the codification of occupational ethics. Organization Studies, 0(0). https://doi.org/10.1177/01708406251317255

The institutionalization of occupations tends to assume homogenization of occupational values. This study addresses the question of how members of an occupation with dissenting preferences reach consensus on a code of ethics. We build on prior theorization of occupational institutionalization and institutional discourse to theorize ethical codification as a dynamic discursive process of internal dissent and consensus culminating in a professional code of ethics. We use email data from the IEEE-ACM Software Engineering Ethics and Professional Practice Committee tasked with producing the 1997 Software Engineering Code of Ethics to show how ethical codification follows a process of initial competition followed by semantic convergence. This study demonstrates how natural language processing and semantic network analysis can contribute to discourse analyses of institutional processes.