Reconciling fiscal decentralization, environmental protection expenditures, and stringent regulations with the ecological priorities of the European Union
Elma Šatrović; Oluwatoyin Abidemi Somoye; Banji Rildwan Olaleye; Joseph Nembo Lekunze · 2025 · Frontiers in Environmental Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
This study elucidates how fiscal decentralization affects environmental sustainability, moderating the role of environmental policy stringency in the selected European Union (EU) countries between 1995 and 2020. In addition, economic upturn, import diversification, and environmental protection expenditures are utilized as control variables. The empirical findings of the Method of the Moments Quantile Regression (MMQR) disclosed that the environmental policy stringency and environmental protection expenditures help the EU achieve ecological priorities. In addition, import diversification also s
Abstract by Elma Šatrović; Oluwatoyin Abidemi Somoye; Banji Rildwan Olaleye; Joseph Nembo Lekunze, Frontiers in Environmental Science (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
The Oregon Experiment — Effects of Medicaid on Clinical Outcomes
Negative / Null Result ReportMicrocredit in Theory and Practice: Using Randomized Credit Scoring for Impact Evaluation
Negative / Null Result ReportThe Cost of Carbon: Capital Market Effects of the Proposed Emission Trading Scheme (ETS)
Negative / Null Result ReportPushing on a string: US monetary policy is less powerful in recessions ∗
Negative / Null Result ReportThe Evidence on Globalisation
Negative / Null Result ReportStatistical tests for power-law cross-correlated processes
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3389/fenvs.2025.1600303
