{"title":"Drilling down: Oil prices, oil production, and production taxes in North Dakota","authors":"Dragan Miljkovic , Puneet Vatsa","doi":"10.1016/j.resourpol.2025.105748","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines the relationships between cycles in oil prices, oil output, and production tax revenue in North Dakota, the third-largest oil-producing state in the United States. The oil industry contributed over 50% to North Dakota's total tax revenue from 2018 to 2022, highlighting the importance of understanding these relationships. The analysis proceeds in two stages. First, we use the Hamilton filter to decompose the three time series to extract their cyclical components. Then, we employ Shannon transfer entropy, an information-theoretic non-parametric technique, to analyze the lead-lag relationships between these cycles. The results show significant information flow from oil price changes to oil production tax revenue and oil output, suggesting that oil market dynamics in North Dakota were primarily driven by price changes; the most considerable flow of information occurred contemporaneously. The results also point to limited feedback from production levels to prices. Overall, these findings underscore the critical role of oil prices in shaping the state's oil production and fiscal outcomes.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"110 ","pages":"Article 105748"},"PeriodicalIF":10.2000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301420725002909","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the relationships between cycles in oil prices, oil output, and production tax revenue in North Dakota, the third-largest oil-producing state in the United States. The oil industry contributed over 50% to North Dakota's total tax revenue from 2018 to 2022, highlighting the importance of understanding these relationships. The analysis proceeds in two stages. First, we use the Hamilton filter to decompose the three time series to extract their cyclical components. Then, we employ Shannon transfer entropy, an information-theoretic non-parametric technique, to analyze the lead-lag relationships between these cycles. The results show significant information flow from oil price changes to oil production tax revenue and oil output, suggesting that oil market dynamics in North Dakota were primarily driven by price changes; the most considerable flow of information occurred contemporaneously. The results also point to limited feedback from production levels to prices. Overall, these findings underscore the critical role of oil prices in shaping the state's oil production and fiscal outcomes.
期刊介绍:
Resources Policy is an international journal focused on the economics and policy aspects of mineral and fossil fuel extraction, production, and utilization. It targets individuals in academia, government, and industry. The journal seeks original research submissions analyzing public policy, economics, social science, geography, and finance in the fields of mining, non-fuel minerals, energy minerals, fossil fuels, and metals. Mineral economics topics covered include mineral market analysis, price analysis, project evaluation, mining and sustainable development, mineral resource rents, resource curse, mineral wealth and corruption, mineral taxation and regulation, strategic minerals and their supply, and the impact of mineral development on local communities and indigenous populations. The journal specifically excludes papers with agriculture, forestry, or fisheries as their primary focus.