Abstract
This study develops a two-stage environmental–economic framework for U.S. states over 1998–2017 within a materials-balance setting. In the first stage, we construct a convexified materials-balance technology in which undesirable outputs are directly linked to an emission-generating input through materials-balance conditions, and we derive an environment-oriented sub-vector efficiency measure in the spirit of Hampf and Rødseth (HR). The resulting radial environmental efficiency scores are then used to transform the pollution-related variables and define a second benchmark technology from which we obtain a materials-balance-based minimum-distance directional slack inefficiency (minDistDSI) measure. This dual structure permits a comparison between a conventional frontier perspective and a minimum-distance perspective, thereby distinguishing deeper structural inefficiency from proximity to feasible improvement targets. In the second stage, we embed both indices in a Bayesian difference-in-differences design with staggered policy adoption and event-study diagnostics to assess the causal effects of state environmental interventions. The results indicate meaningful reductions in major air pollutants, whereas average policy effects on the efficiency indices are modest and imprecisely estimated. Overall, the evidence supports a tiered policy approach in which minimum-distance benchmarks guide attainable short-run improvements, while the HR-based measure identifies longer-run environmental performance gains requiring broader structural adjustment.
| Original language | English |
|---|---|
| Journal | European Journal of Operational Research |
| Early online date | 1 Jul 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 1 Jul 2026 |
Keywords
- Data envelopment analysis
- Environmental efficiency
- Environmental performance strategies
- US states
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